Tag: Infection

  • how close are we to a vaccine — or a cure?

    how close are we to a vaccine — or a cure?

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    At a major HIV conference in July, scientists announced that a seventh person had been ‘cured’ of the disease. A 60-year-old man in Germany, after receiving a stem-cell transplant, has been free of the virus for almost six years, researchers reported.

    The first such instance of eliminating HIV from a person in this way was reported in 2008. But stem-cell transplants, despite being highly effective at ridding people of the virus, are not a scalable strategy. The treatment is aggressive and poses risks, including long-term complications from graft-versus-host disease — a condition in which donor cells attack the recipient’s own tissues. The procedure was only possible in the seven successfully treated people because all of them had cancers that required a bone-marrow transplant, says Sharon Lewin, an infectious-diseases physician who heads the Peter Doherty Institute for Infection and Immunity in Melbourne, Australia. “We would never even contemplate this for someone who was otherwise healthy,” Lewin says. “No one is thinking about this as a cure for HIV.”

    The standard treatment for HIV is antiretroviral therapy (ART), which involves a mix of drugs, usually taken daily, that prevents the virus from replicating inside the body. ART can reduce an infected person’s viral load to an undetectable level, stopping the virus from wreaking havoc in the body and drastically reducing the risk of transmission. But, for many people, such a strategy is not enough.

    Longer-term solutions are in the works. But how close are we to a cure for HIV — or a vaccine? Nature spoke with specialists to find out.

    What advances have been made in the treatment of HIV?

    Problems such as unreliable supply of the medicines, drug resistance and the stigma surrounding HIV infection mean that lots of people who take ART are hoping for longer-term solutions. “Many patients say they’re willing to take the risk of adverse events and even mortality risk to be cured of HIV,” says Ravindra Gupta, a microbiologist at the University of Cambridge, UK.

    In most of the stem-cell-transplant cases, the cells that people received contained a mutation that prevents the expression of CCR5, a protein that the HIV virus uses to enter cells.

    Although this procedure is not possible in most people with HIV, its success in a small number of patients has led to the development of gene therapies that target CCR5. There are also gene therapies in the pipeline that target the virus itself; for example, by inserting a gene that produces antibodies that keep the virus under control.

    Other avenues of investigation include efforts to control or eliminate the latent HIV reservoir, which is a pool of HIV-infected cells that do not produce viral particles. These cells are thus hidden from the immune system, but they can reawaken after a person stops ART. Methods that target this latent reservoir include boosting the immune response, waking and attacking dormant HIV-infected cells or putting the virus in reservoirs permanently to sleep.

    Most of these therapies have yet to make it past phase I or II in clinical trials, according to Lewin. “We’re still talking about early days.”

    There have, however, been advances in longer-term treatments in the past few years. In 2020 and 2021, regulatory agencies in several countries approved a combination of injectable antiviral drugs, cabotegravir and rilpivirine, which can be given every two months to people who have HIV to keep the virus at bay. And in 2022, regulators approved the injectable lenacapavir, which is only needed every six months.

    Close up view of a pharmacist hands holds a vial of lenacapavir.

    The antiviral drug lenacapavirCredit: Nardus Engelbrecht/AP via Alamy

    What about preventing transmission?

    In the absence of vaccines, pre-exposure prophylaxis, or PrEP, has been key to stemming the spread of HIV. Until recently, PrEP existed only in the form of oral medicines that must be taken daily to be effective. When used correctly, oral PrEP reduces the risk of contracting HIV by about 99%.

    Some of the injectable antivirals approved as long-acting HIV treatments have also proved to be effective at preventing infection. In 2021, the US Food and Drug Administration (FDA) approved cabotegravir for prophylactic use. Lenacapavir might also soon be available as a PrEP drug: in a study1 published in July, researchers reported that twice-yearly shots of lenacapavir successfully prevented HIV infection in a cohort of more than 2,000 sexually active young women and adolescent girls. In comparison, among the group who received oral PrEP, about 2% contracted the virus.

    Ricardo Diaz, an infectious-diseases physician at the Federal University of São Paulo in Brazil, who is a principal investigator in a clinical trial of lenacapavir, says that there are some limitations of the injection. For example, side effects on the skin can lead some people to stop taking the drug. And its effectiveness has yet to be determined in men (a clinical trial of men is ongoing). But, given the efficacy seen in the recently published trial, lenacapavir “may be a game changer for HIV epidemics”, Diaz says.

    What is happening in vaccine development?

    The field has made steady progress towards a vaccine since the first HIV infection was reported in 1981 — but there’s still a long way to go, says Rama Rao Amara, an immunologist at Emory University in Atlanta, Georgia.

    One of the biggest challenges facing the field is developing a vaccine that can broadly neutralize the multiple strains of the HIV virus, Amara says. On top of that, the fact that the virus is heavily glycosylated — coated in sugar molecules — makes it difficult to design an antibody that can break through this barrier.

    In a pair of papers2,3 published in Science Immunology on 30 August, researchers report an immunogen that can generate potent, broadly neutralizing antibodies against the HIV virus in macaques. These studies show that it’s possible to at least begin the process of engaging immune cells to produce broadly neutralizing antibodies, says Amara, who penned a commentary4 accompanying the papers. “That is not an easy task.” The immunogen, dubbed GT1.1, is currently being tested in a phase I clinical trial.

    “HIV is not an easy virus to deal with,” Amara says. “Otherwise, we would have already had a vaccine.”

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  • Fibrin drives thromboinflammation and neuropathology in COVID-19

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    Animals

    C57BL/6 mice and K18-hACE2 mice (strain: B6.Cg-Tg(K18-ACE2)2Prlmn/J) were purchased from the Jackson Laboratory. Fga−/− mice52 and Fggγ390–396A mice53 were obtained from J. Degen. Mice were housed under a 12 h–12 h light–dark cycle, 55 ± 5% relative humidity at 20 ± 2 °C with access to standard laboratory chow and water ad libitum. Both male and female mice were used. The mouse ages are indicated for each experimental procedure and were within 3 to 7 months of age. All infection experiments were performed at an AAALAC-accredited ABSL3 facility at Gladstone Institutes. All of the animal procedures were performed under the guidelines set by the Institutional Animal Care and Use Committee at the University of California, San Francisco.

    Human plasma and PBMCs

    Human citrated plasma (IPLASEATNAC50ML, 1151254) was purchased from Innovative Research. Fresh PBMCs (LP,FR,MNC,2B; 3118730 and 3112992) were purchased from AllCells. All human material used in the study is commercially available and no human participants were recruited.

    SARS-CoV-2 recombinant trimeric spike protein production

    The plasmid vector pCAGGS containing the SARS-CoV-2,Wuhan‐Hu‐1 ectodomain spike gene with a deletion of the polybasic cleavage site (RRAR to A), two stabilizing mutations (K986P and V987P), a C-terminal thrombin cleavage site, T4 foldon trimerization domain and a hexahistidine tag (6×His) was obtained from BEI Resources (deposited by F. Krammer)54. Recombinant spike was produced by transient transfection in CHO cells by Celltheon. Spike was purified by Ni2+-NTA affinity chromatography, eluted in phosphate-buffered saline (PBS) containing imidazole, buffer exchanged into 1× PBS and purified by size-exclusion chromatography (Superdex 200 column).

    Plasma clot formation assay

    Fibrin polymerization in a plasma clot assay was measured by turbidity17. In brief, healthy donor citrated human plasma (Innovative Research) was diluted 1:3 in 20 mM HEPES. Recombinant spike was buffer-exchanged into 20 mM HEPES, pH 7.4, 137 mM NaCl (Amicon concentrators, 100 kDa cut-off). Equal volumes (50 µl) of plasma and buffer-exchanged spike were incubated at 25 °C for 15 min. Clotting was initiated by 0.25 U ml−1 thrombin (Sigma-Aldrich) and 20 mM CaCl2. The final concentrations were 1:12 plasma, 0.75 μM spike, 0.25 U ml−1 thrombin, 20 mM CaCl2. Turbidity was measured at 340 nm every 15 s for 30 min on the SpectraMax M5 microplate reader (Molecular Devices) using SoftMax Pro v.5.2 (Phoenix Technologies).

    SEM analysis of fibrin clots

    Healthy donor citrated human plasma was diluted 1:3 in 20 mM HEPES buffer, pH 7.4; 15 μl of diluted plasma was mixed with 15 μl of recombinant spike that was buffer-exchanged into 20 mM HEPES and 137 mM NaCl (Amicon concentrators, 100 kDa cut-off) using a low concentration of NaCl to maintain spike solubility and stability. Then, 25 μl of this mixture was pipetted onto 5 mm × 5 mm silicon wafers (Ted Pella) and incubated for 15 min at 37 °C in a humidified tissue culture incubator. Then, 25 µl of a CaCl2 and thrombin solution in 20 mM HEPES was added in the centre of the wafer and allowed to polymerize at 25 °C for 2 h. The final concentrations were as follows: plasma 1:12, 0.9 μM spike, 0.25 U ml−1 thrombin, 20 mM CaCl2. Buffer was used instead of spike for vehicle control. Clots on wafers were placed onto ice, washed twice for 10 min each with ice-cold EM-grade 0.1 M cacodylate buffer, pH 7.4, and fixed with cold EM-grade 2% glutaraldehyde (Electron Microscopy Sciences). The samples were rinsed three times for 5 min in Millipore-filtered, double-distilled water; dehydrated in an ethanol series (20%, 50%, 70%, 90%, 100%, 100% for 2 min each); and critical-point dried with CO2. The samples were sputter coated with a thin layer of gold–palladium and imaged on the Zeiss Merlin field-emission SEM at 3.0 keV and a secondary electron detector.

    Images at a magnification of ×4,000 were captured across the sample, then were converted to 8-bit using NIH ImageJ (v.1.50). After pixel to μm scaling, each image was cropped into two or three FOVs (8 × 8 μm) using NIH DiameterJ as described previously55. The surface plot plug-in in ImageJ generated topographical maps of SEM images. In brief, the best segmentation algorithm was pre-selected based on side-by-side comparison of images before quantification. The Mixed Segmentation (M1 through M3) built in DiameterJ Segment provided the most accurate representation of the fibres to be quantified. The same segmentation method and variant was used across all test conditions and images. Each segmented image was manually edited using ImageJ to ensure complete representation of segmented fibres. The edited images were batch processed using DiameterJ 1-108 (orientation analysis not selected). Fibre radius and intersection densities were collated from each batch. Data from 8–10 FOVs per sample were used for group analysis. Fibre radius distribution in Fig. 1f was calculated using FOVs from all images collected to assess the distribution across the dataset. Fibre radius proportion was statistically analysed based on three biologically independent experiments in Fig. 1f and the quantification and statistical analysis of the individual images from these experiments is shown in Extended Data Fig. 3c. Samples with collapsed fibres due to potential SEM critical-point drying technical artifacts were excluded from further analysis.

    For quantification of the fibrin clots by SEM, at each radius, the difference in log-transformed odds ratio of detecting fibres (among all the views in a given image) with the chosen radius under spike versus control conditions was estimated across all images. The log-transformed odds ratio at each radius was estimated using generalized linear mixed-effects models, with the family argument set to binomial and implemented in glmer function in the lme4 (v.1.1-27) package in R56, in which the image source for the observations is modelled as a random effect. The P values were corrected for multiple testing using the Holm procedure57. In Fig. 1f, the P value represents the significance at each radius across the range of the radii between the two vertical dotted lines. The solid lines represent the best loess fit curves with span parameter set to 0.45.

    Fibrinogen- and fibrin-coated ELISA plates

    Fibrinogen- and fibrin-coated plates were prepared as described previously17. In brief, human plasminogen-free fibrinogen (EMD Millipore) was further diluted to 25 µg ml−1 by adding 20 mM HEPES buffer, pH 7.4 for coating fibrinogen plates or 20 mM HEPES buffer pH 7.4 with 1 U ml−1 thrombin (Sigma-Aldrich) and 7 mM CaCl2 for fibrin-coated plates. Coating was performed for 1.5 h at 37 °C using 96-well MaxiSorp plates (Thermo Fisher Scientific) and fibrin-coated plates were dried at 37 °C overnight as described previously17.

    Recombinant SARS-CoV-2 spike protein binding on fibrin or fibrinogen

    Fibrin- or fibrinogen-coated 96-well plates were washed with wash buffer (0.05% Tween-20 in PBS), and incubated with blocking buffer consisting of wash buffer with 5% bovine serum albumin (BSA) (Omnipure, Thermo Fisher Scientific) for 1 h at 25 °C. Serial dilutions of recombinant spike or S1(N501Y) were made in binding buffer (wash buffer containing 0.5% BSA). Recombinant spike or S1(N501Y) was added to the wells and incubated for 2 h at 37 °C. After washing five times with wash buffer, rabbit polyclonal anti-6× His tag antibody (ab137839, Abcam, 1:1,000) was added to the plates and incubated for 1 h at 25 °C. After washing, goat anti-rabbit IgG H&L (conjugated with horse radish peroxidase, HRP) (ab205718, Abcam, 1:1000) in wash buffer was added for 1 h at 25 °C. After the final wash, the HRP substrate 3,3′,5,5′-tetramethybenzidine (TMB; Sigma-Aldrich) was added into the wells. The reaction was quenched by adding 1 N hydrochloric acid, and the absorption was measured at 450 nm. Nonlinear regression curves were analysed using Graph Pad Prism 9 software to calculate Kd values using a one-site binding model.

    Fibrinogen peptide array and spike-binding epitope mapping

    A custom PepStar Multiwell Fibrinogen Peptide Array comprising a synthetic peptide library with 390 15-mer peptides representing overlapping peptide scans (15/11) of the α, β and γ fibrinogen chains (UniProt: FIBA, P02671; FIBB, P02675; FIBG, P02679) was generated by JPT Peptide Technologies. The arrays were hybridized with recombinant-His-tagged trimeric spike (1 µg ml−1 in blocking buffer) for 1 h at 30 °C. The His-tag peptide (AGHHHHHH) was also immobilized on the peptide microarray as an assay control. Microarray slides were incubated for 1 h at 30 °C with Alexa 647 anti-6×His monoclonal antibody (MA1-135-A647, Invitrogen) diluted to 1 µg ml−1 in blocking buffer and dried. Before each step, microarrays were washed with washing buffer, 50 mM TBS-buffer including 0.1% Tween-20, pH 7.2. The assay buffer was LowCross buffer (Candor Bioscience). The slides were washed, dried and scanned with a high-resolution laser scanner at 635 nm to obtain fluorescence intensity profiles. The images were quantified to yield a mean pixel value for each peptide. To assess non-specific binding to the peptides and assay performance, a control incubation with secondary antibody was performed in parallel on each slide. The resulting images were analysed and quantified using spot-recognition software (GenePix, Molecular Devices). For each spot, the mean signal intensity was extracted (between 0 and 65,535 arbitrary units). Heat maps were computed and fluorescence intensities were colour-coded. Binding peptides were mapped onto the fibrinogen crystal structure (Protein Data Bank (PDB): 3GHG) using UCSF Chimera58. For the spike peptide array, 1, 0.1 or 0.01 µg ml−1 His-tagged recombinant human fibrinogen γ chain (Novus Bio) was hybridized with the SARS-CoV-2 spike Glycoprotein Variant Collection Peptide Microarray (JPT). Binding was detected using an anti-His secondary antibody conjugated to Alexa 647. Non-specific binding was detected using an anti-His secondary antibody only. Separately, 1, 0.1 or 0.01 µg ml−1 Alexa-647 fibrinogen (Invitrogen) was hybridized onto the spike Glycoprotein Variant Collection Microarray, and peptide binding was directly detected by fluorescence intensity in relative light units (RLU). A heat map was generated by using raw RLU for side-by-side comparison. Spike glycoprotein binding sites on fibrinogen were mapped using the PDB (6VSB).

    Peptide alanine scanning

    Alanine scanning was performed with custom PepStar Multiwell microarrays (JPT) containing 60 peptides representing Ala substitutions of each residue on fibrinogen peptide γ377–395 (YSMKKTTMKIIPFNRLTIG). Human full-length IgG and His-tagged peptides were co-immobilized on the microarray slides as controls. His-tagged spike was applied at five concentrations (from 10 μg ml−1 to 0.001 μg ml−1) and incubated for 1 h at 30 °C. Two fluorescently labelled secondary antibodies specific to the His tag were added separately for 1 h. Washing and detection was performed as described above and data were analysed with respect to the original peptide. The signal after Ala substitution indicated whether a residue was involved in binding to spike.

    Structure preparation and homology modelling

    The crystal structure of human fibrinogen (PDB: 3GHG) was fixed using the Structure Preparation application of the Compute module of MOE. The crystal structure of SARS-CoV-2 spike (PDB: 6VSB) has missing structural information for flexible loops. To correct these, the Homology Model application in the Protein menu of MOE 2022.02 software (Chemical Computing Group) was used, which includes: (1) initial partial geometry specification; (2) insertions and deletions; (3) loop selection and sidechain packing; and (4) final model selection and refinement. Homology models were inspected using MOE’s Protein Geometry stereochemical quality evaluation tools. The spike crystal structure (PDB: 6VSB) was prepared by assigning protonation and ionization states.

    Docking and calculation of energies of docked complexes

    Docking of two proteins was performed by Dock application of Compute module of MOE, using the Protein-Protein function. The application generates a collection of docked configurations from the pool of possible binding positions using the rigid-body docking. To complete a docking procedure, the binding sites were identified based on the peptide array described above. Three potential binding sites were chosen for fibrinogen: (1) 119YLLKDLWQKRQ129 in the β-chain; and, in the γ-chain, (2) 163QSGLYFIKPLKANQQFLVY181 and (3) 364DNGIIWATWKTRWYSMKKTTMKIIPFNRLTIG395. For the ligand (spike protein) five sites were selected. NTD binding region: (1) 37YYPDKVFRSSVLHSTQDLFLPFFSNVTWFHAIHVSGTNGTKRFDNPVLPFNDGVYFASTEKSNIIRG103, (2) 229LPIGINITRFQTLLALHRSYLTP251 and (3) 305SFTVEKGIYQTSNF319; RBD region: (4) 341VFNATRFASVYAWNR355; and S2 domain: (5) 1049LMSFPQSAPHGVVFL1063. After receptor, ligand and docking sites were defined, parameters of Dock application of the Compute module of MOE were set to: refinement –Rigid Body, Poses –10. The application created 10 poses, analysed output scores, ligand docking energies and docked poses, and detected the best one; intermediate poses also are saved in a docking database file.

    During the docking calculations the program presents 10 best energy complexes. After that, each of the complexes undergone the additional calculations of energy. A computational alanine scan of the fibrinogen molecules in each complex was also conducted with each of the residues in fibrinogen that were experimentally substituted to alanine were computationally substituted to alanine and modelled. The best model was selected on the basis of the lowest docking energy. The computational alanine scan generated the values of correlations between all values of energy for each amino acid substitution and experimental values of the parameter used for estimating the influence of each amino acid. The residues involved in the interaction of this computationally predicted complex were analysed using LigPlot+ v.2.2.

    i.v. injection of labelled spike S1(N501Y) and fibrinogen

    Spike S1(N501Y) (AcroBiosystems) (20 μg) dissolved in 0.1 M PBS was fluorescently labelled using the Alexa Fluor 647 conjugation kit lightning link (Abcam). The Alexa-Fluor-647-labelled spike S1(N501Y) had a concentration of 1 mg ml−1. Retro-orbital injections of 0.1 ml of PBS solution containing 20 μg Alexa-647-conjugated spike S1(N501Y) and 30 μg Alexa-546-labelled human fibrinogen (Invitrogen) were performed under isoflurane anaesthesia (1 ml insulin syringe with a 30-gauge needle). The mice were perfused at 1 day after injection with heparinized PBS and fixed with 4% paraformaldehyde (PFA) and lungs were collected for clearing.

    3DISCO clearing and light-sheet imaging

    3DISCO lung tissue clearing was performed as described previously59. Mouse lungs were placed into a 20 ml scintillation glass vial and incubated in 20 ml of THF (Tetrahydrofuran, Roth, CP82.1) gradient in distilled water in a fume hood with gentle shaking at 50% once, 70% once, 80% once and 100% twice for 6 h for each step, followed by 3 h in dichloromethane (DCM, Sigma-Aldrich, 270997). The samples were immersed in BABB solution (benzyl alcohol + benzyl benzoate 1:2 (v/v), Sigma-Aldrich, 24122 and W213802) until optical transparency. Lung tissues were imaged using Imspector Pro v.7.0.98 and the LaVision BioTec Ultramicroscope II light-sheet microscope in a quartz cuvette filled with ethyl cinnamate (ECi) (Sigma-Aldrich). For imaging, MVX10 zoom body (Olympus) with a ×2 objective (pixel size, 3.25 µm for x and y) at magnification from ×0.63 up to ×1.6 was used. Up to 1,400 images were taken for each lung using a z-step size of 3.5 µm, and light-sheet numerical aperture of 0.111 NA. Band-pass emission filters (mean nm/spread) were used, depending on the excited fluorophores: 525/50 for autofluorescence; 595/40 for AF546; and 680/30 for AF647. The exposure time was 10 ms for single channel and 25 ms for multichannel acquisition. Imaris v.9.5.0 (Bitplane) was used for 3D rendering. Pixel dimensions were updated from the non-reduced 16-bit image metadata. Surface objects in Imaris was used to 3D render focal depositions and spike distribution in representative volumetric ROIs.

    Plasmin digestion of fibrin

    Before clotting, 3 μM fibrinogen was incubated with 9 μM recombinant spike protein at 37 °C for 1 h in 20 mM HEPES, pH 7.4, 137 mM NaCl, 5 mM CaCl2. Thrombin was added at a final concentration of 1.5 U ml−1. Fibrin clots were allowed to form in Eppendorf tubes for 2 h at 37 °C. Then, 5 μl of 100 μg ml−1 plasmin (Millipore) was added to each tube on top of the clot. All of the samples were incubated at 37 °C for 0, 1, 2, 4 and 6 h; digestion was quenched by adding sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS–PAGE) loading buffer with reducing agent. The samples were heated at 85 °C for 20 min, and aliquots (equivalent to 100 ng fibrinogen) were separated by SDS–PAGE on 4–12% Bis-Tris gels, transferred to PVDF membranes and analysed for anti-human fibrinogen (F4200-06, US Biological, 1:2,000) by western blotting. The band intensities of each protein species (that is, γ–γ dimer, β-chain) were analysed using ImageJ and normalized to the corresponding bands at the 0 h timepoint. The loading control for the western blot is the timepoint 0 before the addition of plasmin to the fibrin clot.

    Competitive ELISA of 5B8 versus the spike for binding to fibrin

    A 5B8-huFc antibody was synthesized by Fc swap of the mouse IgG2b Fc of 5B818 with human IgG1 Fc. 96-well ELISA plates (Greiner) were coated with 25 μg ml−1 IgG-depleted fibrin and incubated in blocking buffer as indicated for binding assays for 1 h before addition of 50 μl per well of 5B8-huFc antibody. Human plasminogen-free fibrinogen was depleted from IgG as described previously17. The antibody was diluted at threefold concentrations from 0.0002 μM to 15 μM in PBS with 0.5% BSA and 0.05% Tween-20 (diluent). For the competition ELISA without preincubation, 5B8-huFc was incubated together with 150 nM trimeric spike in diluent (100 μl total volume) for 2 h at 37 °C on fibrin plates. For the ELISA with antibody preincubation, 50 μl of 5B8-huFc was incubated on fibrin plates for 2 h at 37 °C, followed by addition of 50 μl of 150 nM trimeric spike to the antibody and incubation for 2 h at 37 °C. This was followed by incubation with HRP-coupled anti-His tag antibody (MAB050H, R&D Systems, 1:2,000) for 1 h at 25 °C. The ELISA was developed by incubation with TMB/E substrate (Chemicon-Millipore), and the absorbance was measured at 450 nm using the Synergy H4 plate reader (BioTek).

    ROS detection

    BMDM culture and ROS detection using 5 µM DHE (Invitrogen) were performed as described previously17,60. In brief, cells were plated on 96-well black μ-clear-bottomed microtitre plates (Greiner Bio-One) precoated with 12.5 µg ml−1 fibrin with or without recombinant spike (0.168, 1.68 and 3.36 µM), spike PVs or bald PVs. For fibrin inhibition, 5B8 or IgG2b (each 20 μg ml−1) (MPC-11, BioXCell) was added in fibrin with or without 3.36 µM recombinant spike-coated wells 2 h before plating. Cells were incubated on fibrin for 24 h and DHE fluorescence was detected at 518 nm/605 nm using the SpectraMax M5 microplate reader. As macrophage activation can be influenced by cell culture conditions, heat-inactivated fetal bovine serum and macrophage colony-stimulating factor were batch tested as described previously60. As the activity of PVs can be influenced by freeze–thaw cycles, all of the experiments were performed with virions that had been freshly thawed and kept at 37 °C. Refrozen virion samples were not used.

    Immunoprecipitation

    To test interaction of fibrinogen with His-tagged spike, the Pierce co-immunoprecipitation kit (Thermo Fisher Scientific) protocol was used with original immunoprecipitation/lysis buffer and modifications. Spike and fibrinogen were mixed at a molar ratio of 2:1 in 800 μl of immunoprecipitation buffer (50 mM Tris, pH 8.0, 5% glycerol, 1% NP-40, 100 mM NaCl) supplemented with 100 × EDTA-free Halt protease inhibitor (Thermo Fisher Scientific) and then rotated at 37 °C for 1 h. Resin beads conjugated with the anti-fibrinogen antibody (SAFG-AP, Enzyme Research Laboratories, 1:1,000) were added to the mixture and rotated at 37 °C for another 2 h. The bound proteins were eluted in 60 µl of EB solution and neutralized with 1/10 volume of 1 M Tris, pH 9.0. The wash buffer and EB solution were warmed to 37 °C in advance. The eluted proteins were separated by SDS–PAGE on 4–12% gels, transferred to PVDF membranes (Invitrogen) and incubated with rabbit anti-spike antibody (632604, GeneTex, 1:1,000) and sheep anti-fibrinogen antibody (SAFG-AP, Enzyme Research Laboratories, 1:1,000) and then with HRP-conjugated anti-rabbit (111-035-144, Jackson ImmunoResearch; 1:10000) and anti-sheep (HAF016, R&D Systems; 1:5,000) secondary antibodies. For immunoprecipitation of spike PVs, spike antibodies (GTX635693, GeneTex; 1:1,600) recognizing SARS-CoV-2 spike (S2) were used. For spike PV immunoblot, anti-spike (632604, GeneTex, 1:1,000) and anti-p24 Gag (detecting p55, 1:100) antibodies donated to the Greene laboratory by Beckman Coulter61 and anti-Vpr (8D1, Cosmo Bio, 1:200) antibodies were used. Protein bands were detected using Immobilon Forte Western HRP substrate (Sigma-Aldrich) and the ChemiDoc imaging system (Bio-Rad).

    SARS-CoV-2 culture and in vivo infection

    To assess SARS-CoV-2 infection in vivo, viral stocks of SARS-CoV-2 B.1.351 (Beta) and SARS CoV-2 B.1.617.2 (Delta) were prepared on Vero cells expressing transmembrane protease serine 2 (TMPRSS2) and ACE2 (Vero-TMPRSS2-ACE2)47 provided by A. Creanga and B. Graham at NIH and stored at −80 °C until used. Experiments involving Beta were performed on female and male WT C57BL/6, Fga–/– and Fggγ390–396A mice (6–7 months of age). The Beta strain contains the K417Y, E484K and N501Y substitutions in the spike RBD and binds to mouse ACE2 inducing active infection in a range of experimental mouse strains62,63,64. Experiments using Delta were performed on female and male 4–5 month old K18-hACE2 mice. For the infection, the animals were anaesthetized using 100 mg per kg ketamine mixed with 10 mg per kg xylazine through intraperitoneal injection. Anaesthetized mice received i.n. administration of an infectious inoculum of virus in 50 μl of serum-free DMEM. For each experiment, lung and brain tissues were collected. Left lung lobes and one brain hemisphere from each animal were placed in 4% PFA for fixation and histological processing. The remaining lung tissue was roughly chopped and processed for homogenates in prefilled zirconium bead tubes (Benchmark Scientific). Homogenates were stored at −80 °C. The remaining brain hemispheres were flash-frozen and stored at −80 °C. All aspects of this study were approved by the office of Environmental Health and Safety at UCSF before initiation. Work with SARS-CoV-2 was performed in a biosafety level 3 laboratory by personnel equipped with powered air-purifying respirators.

    Plaque assay

    Lung homogenates were assessed for viral concentration by plaque assay. In brief, Vero-TMPRESS2-ACE2 cells were plated onto 12-well plates at a concentration of 2 × 105 cells per well. Homogenates were added to the cells in a dilution series of 101, 102, 103, 104, 105 and 106 in serum-free DMEM. The homogenate dilutions were incubated on the cells for 1 h, and the media in the wells was then overlaid with 2.5% Avicel (Dupont, RC-591). Cells were incubated for 72 h, then the overlay was removed and the cells were fixed in 10% formalin for 1 h, and stained with crystal violet to visualize PFU.

    Production of spike PVs

    HEK293T cells (3.75 × 106) were plated in a T175 flask and transfected 24 h later with 90 μg of polyethyleneimine (PEI; Sigma-Aldrich), 30 μg of HIV-1 NL4-3 ∆ Env eGFP (NIH AIDS Reagent Program) or 3.5 μg of pCAGGS SARS-CoV-2 trimeric spike glycoprotein (NR52310, BEI Resources) in a total of 10 ml of Opti-MEM medium (Invitrogen). The next day, the medium was replaced with DMEM10 complete medium, and the cells were incubated at 37 °C in 5% CO2 for 48 h. The supernatant was then collected, filtered with 0.22 µm Steriflip filters (EMD, Millipore) and ultracentrifuged at 25,000 rpm for 1.5 h at 4 °C. The concentrated supernatant was removed, the pellets (viral particles) were resuspended in cold 1× PBS containing 1% fetal bovine serum and aliquots were stored at −80 °C in a biosafety level 3 laboratory. For the production of control viral particles not expressing the spike glycoprotein (bald), the same procedure was used but with the omission of the pCAGGS SARS-CoV-2 spike vector transfection. HIV Env pseudotyped viral particles were also produced with the same procedure, using an HIV89.6 Env dual tropic (X4 and R5) expression vector (NIH AIDS Reagent Program) instead of the spike expression vector.

    In vivo administration of SARS-CoV-2 spike PVs

    Mice were anaesthetized with isoflurane and spike PVs or bald PVs (control) (100 µl) were slowly injected into the retro-orbital plexus with a BD 0.3 ml insulin syringe attached to a 29-gauge needle. After 3 min, the needle was slowly withdrawn, and the mice were allowed to recover. As the activity of PVs can be influenced by freeze–thaw cycles, all of the experiments were performed with virions that had been freshly thawed and kept at 37 °C. Refrozen virion samples were not used. SARS-CoV-2 spike PVs were administered to 3- to 4-month-old mice.

    5B8 penetration in the CNS and target engagement after SARS-CoV-2 infection

    C57BL/6 mice (4–5 months of age) were infected with 104 PFU of SARS-CoV-2 B.1.351 (Beta). On 5 and 7 d.p.i, mice were given intraperitoneally 30 mg per kg of the 5B8-huFc antibody. On 7 d.p.i, mice were perfused with saline followed by fixation with 4% PFA. Subsequently, the brains were post-fixed in the same fixative and cryoprotected in 30% sucrose. The brain hemispheres were frozen in OCT and sectioned (10 µm sections). Sagittal brain sections were incubated with 0.1% Sudan Black (dissolved in 70% ethanol) for 10 min, permeabilized/blocked with 3% BSA and 3% NDS in PBS containing 0.1% Triton X-100 for 1 h. The sections were incubated overnight with an antibody to fibrinogen (1:2,000), followed by Alexa Fluor 594 donkey anti-rabbit IgG (1:1,000; Jackson ImmunoResearch) for 1 h. To detect 5B8-huFc antibody in the brain, the sections were stained with F(ab′)2-donkey anti-human IgG (H+L) cross-adsorbed secondary antibody, FITC (ab102424, Abcam, 1:300) for 1 h. The sections were covered with glass coverslips, sealed with ProLong Diamond Antifade Mounting reagent (Thermo Fisher Scientific) and kept at 4 °C until imaging.

    Fibrin 5B8 antibody treatment

    For prophylactic pharmacological treatment of SARS-CoV-2 B.1.351 (Beta) infection, anti-fibrin antibody 5B817 or an isotype-matched IgG2b (MPC-11, BioXCell) control were administered intravenously by retro-orbital injection at 30 mg per kg in 5- to 6-month-old C57BL/6 mice. Then, 1 h later, the mice were given 104 PFU of Beta through the i.n. route in a final volume of 50 μl. Beta-infected mice were euthanized at 3 days for histological analysis. For SARS CoV-2 B.1.617.2 (Delta) infection, 4- to 5-month-old K18-hACE2 mice were given 5B8 or IgG2b intravenously through retro-orbital injection at 30 mg per kg 1 h before Delta infection and every 48 h intraperitoneally, and were euthanized at 3 d.p.i. For therapeutic treatments, 5B8 or IgG2b were given intraperitoneally at a dose of 30 mg per kg at 1 d.p.i. with 103 PFU of Beta in 5- to 6-month-old C57BL/6 mice or Delta in 4- to 5-month-old K18-hACE2 mice as described above, and every 48 h thereafter, intraperitoneally. The animals were euthanized at 7 or 9 d.p.i. For spike PVs, 5B8 or IgG2b isotype control were given intravenously to C57BL/6 mice by retro-orbital injection at 30 mg per kg 15 min before injection of PVs. Generation of 5B8 and dose of administration have been described previously17. Administration of mouse monoclonal antibodies intraperitoneally provides sustained release of antibody into the bloodstream and thus is commonly used to assess preclinical efficacy for antibodies that will eventually be delivered intravenously in the clinic65,66,67.

    Histology and immunohistochemistry

    Histopathological analysis in mouse lung and brain was performed on frozen or paraffin sections17,68,69. Serial sections were not collected in the study. Lung sections were stained with haematoxylin and eosin and trichrome. The following antibodies were used: rabbit anti-SARS-CoV-2 nucleocapsid (GTX135357, GeneTex, 1:500), mouse anti-SARS-CoV-2 spike (1A9, GeneTex, 1:100), sheep anti-fibrinogen (F4200-06, US Biological, 1:300), rabbit polyclonal anti-fibrinogen (gift from J. Degen, 1:500), rat anti-mouse/human Mac2 (M3/38, Cedarlane, 1:500), mouse anti- gp91phox (53/gp91-phox, BD Biosciences, 1:500), rat anti-mouse CD335 (NKp46) (29A1.4, BD Biosciences, 1:500), mouse anti-NK1.1 (PK136, Invitrogen, 1:250) and rabbit anti-granzyme A (PA5-119160, Invitrogen, 1:500). Brains were cut with a cryostat into 30-μm-thick frozen sections for free-floating immunostaining. The following antibodies were used: rabbit anti-IBA1 (019-19741, Wako, 1:1,000), rat anti-mouse CD68 (FA-11, BioLegend, 1:500), guinea pig anti-NeuN (A60, Sigma-Aldrich, 1:500), rat anti-myelin basic protein (ab7349, Abcam, 1:100) and rabbit anti-calbindin (CB38a, Swant; 1:5,000). The tissue sections were washed in PBS and incubated in a blocking and permeabilization buffer consisting of PBS supplemented with 0.2% Triton X-100 and 5% BSA for 1 h at 25 °C. For mouse primary antibodies, the sections were incubated in M.O.M. (Mouse on Mouse Immunodetection Kits, Vector Laboratories) mouse IgG blocking reagent diluted in PBS containing 0.2% Triton X-100 and 5% BSA, and then with M.O.M. diluent for 5 min at room temperature. The sections were rinsed twice with PBS containing 0.1% Triton X-100 and incubated overnight with primary antibodies at 4 °C. All of the tissue sections were washed with PBS containing 0.1% Triton X-100 and incubated with the following secondary antibodies: goat anti-rabbit Alexa Fluor 488 (A-11008, Thermo Fisher Scientific, 1:1,000), goat anti-mouse Alexa Fluor 568 (A-110041, Thermo Fisher Scientific, 1:1,000) or goat anti-rat Alexa Fluor 647 (A-21247, Thermo Fisher Scientific, 1:1,000), and stained with DAPI. The sections were mounted on frosted microscopy slides (Thermo Fisher Scientific), covered with glass coverslips, sealed with ProLong Diamond Antifade Mounting reagent (Thermo Fisher Scientific) and kept at 4 °C until imaging.

    Confocal microscopy

    Tissue sections were imaged using a laser-scanning confocal microscope FLUOVIEW FV3000RS “Snow Leopard” (Olympus) or Fluoview FV1000 (Olympus), a 40 × and 0.8 NA water-immersion lens or 60× oil-immersion UPLSAPO objective (NA = 1.35) and FV31S-SW software v.2.3.2.169 (Olympus). Individual channels were captured sequentially with a 405 nm laser and a 430/70 spectral detector for DAPI, a 488 nm laser and a 500/40 spectral detector for Alexa Fluor 488, a 561 nm laser and a 570/620 high-sensitivity detector for Alexa Fluor 568, and a 650-nm laser and a 650/750 high-sensitivity detector (Olympus TruSpectral detector technology) for Alexa Fluor 647. Captured images were processed with Fiji v.2.1.0/ImageJ v.1.53c.

    Image analysis

    To analyse microglia after stereotaxic injections of fibrinogen, spike or PVs, the corpus callosum within five rostrocaudally spaced coronal brain sections was selected for quantification17. To quantify IBA1, CD68, calbindin or NeuN+ cells in mice infected with Beta or Delta, three areas in the hippocampus (for IBA1 or CD68) or two areas in the cortex (for calbindin or NeuN) were selected on three mediolaterally spaced sagittal brain sections, ensuring consistency in anatomical regions per mouse. For lung pathology in Beta-infected mice, six or seven representative areas were chosen from three lung sections. N protein-positive areas were selected for collagen quantification. Lung pathology in mice injected with PVs was performed on five representative areas selected from three lung sections. Immunostained cells were counted with Jupyter Notebook in Python 3. In brief, an arbitrary threshold was manually set and used for all images in the dataset. The total number of cells per image was estimated using the function peak_local_max from the open-source skimage Python image-processing library, which returns the coordinates and number of local peaks in an image (https://scikit-image.org/docs/dev/api/skimage.feature.html#skimage.feature.peak_local_max). Fibrinogen immunoreactivity was quantified using Fiji (ImageJ) as described previously70. Python image processing was used to colocalize fibrinogen and spike protein in lung tissues. In brief, a Jupyter Notebook was written to estimate the amount of fluorescence signal overlap between spike and fibrinogen in lung tissues. The Ostu filter from the skimage Python image-processing library was used to threshold each image labelled with spike and fibrinogen (https://scikit-image.org/docs/0.13.x/api/skimage.filters.html#skimage.filters.threshold_otsu). After thresholding, each set of images was compared, and pixels were compartmentalized into 4 categories: spike and fibrinogen overlap, spike signal only, fibrinogen signal only and no signal. In each image, the total number of pixels in an image and the number of pixels with signal for spike only, fibrinogen only or both were computed. Correlations were calculated using FOVs from all images collected as indicated in Extended Data Figs. 1b,c and 9f to assess the distribution across the dataset. All images selected for the figures are representative of the quantification of immunostaining for each experimental group.

    Bulk RNA-seq

    Lungs (3 d.p.i.) were isolated and snap-frozen with liquid nitrogen and stored at −80 °C. RNA samples were isolated using the RNeasy Plus Mini Kit (Qiagen). Generation of cDNA, sequencing, quality control of raw count, mapping and counting was performed as described21,60. The samples used for gene expression analysis were confirmed for viral load by quantitative PCR in lung tissue for expression of N5 specific for Beta variant. Samples with poor RNA quality or no viral load were excluded from further analysis. All of the samples that passed RNA quality control were included in the study. A minimum of three replicates per group was used, and genes with less than 0.1 counts per million (CPM) were filtered out from the study. Normalization was then performed using calcNormFactors, and differentially expressed genes were determined using edgeR71. The false-discovery rate (FDR) was calculated using the Benjamini–Hochberg method. For NK cell RNA-seq, adjusted P < 0.1 (two-sided quasi-likelihood F-test with Benjamini–Hochberg correction) was used for visualization in Fig. 3a. The CPM of each gene was normalized across all of the samples to generate z-scores for heat maps of gene expression. Differentially expressed genes significantly changed in uninfected mice were not included in the analysis. For pathway analysis, gene lists were ranked using log2-transformed fold change of differentially expressed gene between two groups. Fibrin-induced macrophage scRNA-seq data were obtained from ref. 21 (GSE229376). GSEA was performed using GSEA v.4.2.3 with 1,000 times permutation and collapsing mouse genes to the chip platform Mouse_Gene_Symbol_Remapping_Human_Orthologs_MSigDB.v7.5.1.chip. The MSigDB gene sets: H: Hallmark and C2: CP: Canonical pathways (KEGG, REACTOME, WikiPathways) were used for pathway analysis. The fibrin NK suppression network was generated using Cytoscape (v.3.7.2)72. Using differentially altered pathways generated by GSEA (described earlier), the network was visualized using the default setting of EnrichmentMap.

    NK cell depletion and characterization

    NK cells were purified from splenocytes of C57BL/6 mice using the NK cell isolation kit (Miltenyi Biotec). NK cells were stimulated with IL-15 (50 ng ml−1, BioLegend) for 4 days with or without fibrin. Flow cytometry staining and analyses were performed as described previously21,60. For NK cell surface and intracellular staining, NK cell suspensions were first incubated with TruStain FcX PLUS (S17011E, BioLegend) for 15 min at 4 °C, then stained with surface markers for 30 min at 4 °C. Cells were then fixed and permeabilized using the BD Fixation/Permeabilization Kit (554714, BD). Intracellular markers were incubated for 1 h at 4 °C and analysed using the LSR Fortessa flow cytometer (BD Biosciences) the same day. For IFNγ staining, NK cells were incubated with phorbol 12-myristate 13-acetate (P8139, Sigma-Aldrich) and ionomycin (I0634, Sigma-Aldrich) for 4 h in the presence of brefeldin A (B7651, Sigma-Aldrich) followed by surface staining and fixation/permeabilization protocol described above. Anti-IFNγ antibodies were incubated in perm/wash buffer overnight, and then analysed with LSR Fortessa flow cytometer (BD Biosciences) the same day. Antibodies were as follows: NK1.1-FITC (S17016D, BioLegend, 1:200), IFNγ-PE (XMG1.2, BioLegend, 1:200), granzyme B-PerCP/Cy5.5 (QA16A02, BioLegend, 1:200), Ki-67-PE (16A8, BioLegend,1:200), CD45-Brilliant Violet BUV737(30-F11, BD, 1:200), CD11b-Brilliant Ultraviolet 395 (M1/70, BD, 1:200), CD335-Brilliant Violet 421 (clone 29A1.4, BioLegend,1:100), CD54-PE (YN1/1.7.4, BioLegend, 1:200), CD314-APC (CX5, BioLegend, 1:200), LIVE/DEAD Fixable Aqua Dead Cell Stain Kit (L34957, Thermo Fisher Scientific, 1:500). All data were processed using FlowJo v.10.7.1 (BD Biosciences). Doublets and dead cells were excluded before analysis of NK cell phenotypes. NK cells were gated as CD45+CD3NK1.1+. For NK cell depletion, anti-mouse NK1.1 (PK136, BioXCell), which depletes NK cells73,74,75, or isotype control IgG2a (C1.18.4, BioXcell) were administered intraperitoneally at 8 mg per kg at 3 and 1 days before infection of 5- to 7-month-old mice.

    For bulk RNA-seq analysis of mouse NK cells, purified NK cells from splenocytes of C57BL/6 mice were stimulated with IL-15 (50 ng ml−1, BioLegend) for 4 days with or without fibrin. NK cells were stained with anti-CD3 (145-2C11, BD, 1:200), anti-NK1.1 (S17016D, BioLegend, 1:200), anti-CD45 (30-F11, BioLegend, 1:200) and aqua live/dead fixable dye on ice for 20 min. The CD45+CD3NK1.1+ live NK cells were sorted into 1.5 ml tubes with 1 ml of Buffer RLT Plus with 1% β-mercaptoethanol. RNA samples were prepared using the RNeasy Plus Micro Kit according to the manufacturer’s instructions. The cDNA library generation, quality control, sequencing and downstream analysis are performed as above.

    Sample preparation for MS analysis

    Human NK cells were isolated from freshly collected PBMCs (AllCells) using the NK cell Isolation Kit, Human (Miltenyi Biotec). In total, 5 × 106 NK cells were plated on each well of a six-well plate treated with or without fibrin for 1 h at 37 °C. Phosphoproteomic analysis was performed as described previously21,32. The samples were washed twice with cold PBS, lysed in 6 M guanidine hydrochloride (Sigma-Aldrich), then boiled at 95 °C for 5 min, and stored on ice until sonication. Lysed samples were sonicated using a probe sonicator for 15 s at 10% amplitude, and protein was quantified by Bradford assay. Approximately 500 µg of protein sample was used for further processing, starting with reduction and alkylation using a 1:10 sample volume of tris-(2-carboxyethyl) (TCEP) (10 mM final) and 2-chloroacetamide (40 mM final) for 5 min at 45 °C with shaking at 1,500 rpm. Before protein digestion, the 6 M guanidine hydrochloride was diluted sixfold with 100 mM Tris-HCL (pH 8) to permit trypsin activity. Trypsin was then added at a 1:100 (w/w) enzyme:substrate ratio and placed in a thermomixer at 37 °C overnight (16 h) with shaking at 800 rpm. After digestion, 10% trifluoroacetic acid (TFA) was added to each sample to reach a final pH of 2. The samples were desalted using a vacuum manifold with 50 mg Sep Pak C18 cartridges (Waters). Each cartridge was activated with 1 ml 80% acetonitrile/0.1% TFA, then equilibrated with 3 × 1 ml of 0.1% TFA. After sample loading, the cartridges were washed with 3 × 1 ml of 0.1% TFA, and the samples were eluted with 1 × 0.8 ml 50% acetonitrile/0.25% formic acid. The samples were dried by vacuum centrifugation. The High-Select Fe-NTA phosphopeptide enrichment kit (Thermo Fisher Scientific) was used according to the manufacturer’s instructions with minor modifications for phosphopeptide enrichment. In brief, the samples were suspended in approximately one-third of the recommended binding/wash buffer volume (70 µl). After equilibrating the spin column, the resin slurry was resuspended in 210 µl of binding/wash buffer and divided into thirds. Each third of the resin was used for one sample. Tryptic peptides were mixed with the resin in a separate protein LoBind tube (Eppendorf) and incubated for 30 min (at room temperature) on a thermomixer at 800 rpm. The samples were transferred on top of a 20 µl filtered tip, washed three times with binding/wash buffer and once with HPLC-grade water. The bound phosphopeptides were eluted with 70 µl elution buffer, and the pH was brought down immediately to nearly three with formic acid (10% (v/v) in HPLC-grade water). All of the samples were dried by vacuum centrifugation and stored at −80 °C until further analysis.

    MS proteomics data acquisition

    Dried phosphopeptides were resuspended in 0.1% (v/v) formic acid (Sigma Aldrich) in water (HPLC grade, Thermo Fisher Scientific) and analysed on the timsTOF HT mass spectrometer (Bruker Daltonics), paired with a Vanquish Neo ultra-high-pressure liquid chromatography system (Thermo Fisher Scientific). The samples were directly injected onto a PepSep C18 reverse-phase column (15 cm, 150 µm inner diameter, 100 Å pore size, 1.5 µm particle size with UHP inlet, Bruker Daltonics) connected to a captive spray emitter (ZDV, 20 µm, Bruker Daltonics). Mobile phase A consisted of 0.1% (v/v) formic acid in water (HPLC grade, Thermo Fisher Scientific) and mobile phase B consisted of 0.1% (v/v) formic acid in 100% acetonitrile (HPLC grade, Thermo Fisher Scientific). Peptides were separated on a gradient from 3% to 25% mobile phase B over 47 min, followed by an increase to 45% B over 8 min, then to 95% over 1 min, and held at 95% B for 4 min for column washing at a flow rate of 200 nl min−1. Eluted peptides were ionized in a CaptiveSpray source (Bruker Daltonics) at 1,700 V. Raw data were acquired in data-independent acquisition coupled with parallel accumulation–serial fragmentation (dia-PASEF) mode with an optimized isolation window scheme in the m/z versus ion-mobility plane for phosphopeptides. The ion accumulation time and ramp times in the dual TIMS analyser were set to 100 ms each. For dia-PASEF, in the ion mobility (1/K0) range 0.6 to 1.50 Vs cm−2, the collision energy was linearly decreased from 59 eV at 1/K0 = 1.6 Vs cm−2 to 20 eV at 1/K0 = 0.6 Vs cm−2 to collect the MS/MS spectra in the mass range 400.2 to 1,399.3 Da. The estimated mean cycle time for the dia-PASEF windows was 1.38 s. The raw files were processed with Spectronaut (v.18.5, Biognosys) using its library-free DIA analysis with directDIA+ (Deep) search algorithm. Carbamidomethylation (cysteine) was set as a fixed modification for database search. Acetylation (protein N-term), oxidation (methionine), and phosphorylation (serine, threonine, tyrosine) were set as variable modifications. Reviewed human protein sequences (downloaded from UniProt, 6 October 2023) were used for spectral matching. The FDRs for the PSM, peptide and protein groups were set to 0.01, and the minimum localization threshold for PTM was set to zero. For MS2 level area-based quantification, the cross-run normalization option was unchecked (normalization was performed later using MSstats, see below), and the probability cut-off was set to zero for the PTM localization. We detected between 4,000 and 7,000 phosphorylated peptides per sample with an average percentage of phosphorylated to non-phosphorylated peptides of 73%.

    Computational analysis of phosphoproteomics

    Quantification of phosphorylation differences was performed using artMS as a wrapper around MSstats76, through functions artMS::doSiteConversion and artMS::artmsQuantification with the default settings. All peptides containing the same set of phosphorylated sites were grouped and quantified together into phosphorylation site groups. One sample outlier in intensity and peptide detection was discarded before quantitative analysis; unstimulated (mock) 1 h (PRIDE sample ID TOF01641_2_1_1683). For both phosphopeptide and protein abundance MSstats pipelines, MSstats performs normalization by median equalization, no imputation of missing values and median smoothing to combine intensities for multiple peptide ions or fragments into a single intensity for their protein or phosphorylation site group. Lastly, statistical tests of differences in intensity between infected and control timepoints were performed. When not explicitly indicated, we used the default settings for MSstats for adjusted P values. By default, MSstats uses the Student’s t-tests for P value calculation and the Benjamini–Hochberg method of FDR estimation to adjust P values. Kinase activities were estimated using known kinase–substrate relationships from the OmniPath database77. Kinase activities were inferred as a z-score calculated using the mean log2-transformed fold change of phosphorylated substrates for each kinase in terms of standard error (Z = [M − μ]/s.e.), comparing fold changes in phosphosite measurements of the known substrates against the overall distribution of fold changes across the sample. To compare all phosphorylation sites across experimental groups as previously described32, a P value was also calculated from log2-transformed fold changes of all detected phosphorylation sites using a two-tailed Z-test method as shown in Fig. 3c, Extended Data Fig. 7b and Supplementary Tables 8–10. Network reconstruction and enrichment analysis of phosphoproteomics data were performed as described previously22.

    Nanostring analysis

    Formalin-fixed paraffin-embedded (FFPE) tissue was scrapped off into a 1.5 ml Eppendorf tube and deparaffinized with 1 ml of xylene for 2 min and then pelleted and washed with 1 ml of 100% ethanol. The samples were pelleted and incubated at room temperature until all of the residual ethanol had evaporated. Tissues were digested and RNA samples were isolated using the RNeasy FFPE Kit (Qiagen). The quantity was determined using the Nanodrop (Thermo Fisher Scientific) and the quality of RNA was determined on the Agilent Bioanalyzer. All of the samples passed quality control (>50% of RNA larger than 250 nucleotides). Gene expression assays were performed on the Nanostring nCounter machine with NS_Mm_HostResponse_v1.0 codeset. The raw data were processed and normalized counts, unadjusted P values and log2-transformed fold change values were generated with nSolver using two-tailed unpaired t-tests. For pathway analysis, the normalized counts of each gene were normalized across all of the samples to generate a z-score for heat maps of gene expression. The average z-score for each genotype was used for the heat map. Significantly downregulated genes between the 5B8 and IgG2b treated group (P < 0.05) were on clusterProfiler to determine significantly downregulated pathways using the enrichGO function. The top 20 significantly downregulated pathways were used to generate the network.

    Stereotactic injection of fibrinogen and spike

    Fibrinogen was stereotactically injected into the brain as described previously35. Mice were anaesthetized with isoflurane and placed into a stereotaxic apparatus (Kopf Instruments). Alexa Fluor 488 human fibrinogen (Thermo Fisher Scientific) was dissolved in 0.1 M sodium bicarbonate (pH 8.3) at 25 °C to 1.5 mg ml−1 (ref. 78), mixed with spike (4.6 mg ml−1), spike PVs (0.1 mg ml−1), bald PVs (0.1 mg ml−1) or PBS control (1:1 ratio), and incubated at 37 °C for 15 min; 1.5 μl of the mixture was stereotactically injected at 0.3 μl min−1 with a 10 μl Hamilton syringe and a 33 gauge needle into the corpus callosum of 4- to 5-month-old C57BL/6 mice35. Mice were anaesthetized with avertin and transcardially perfused with 4% PFA in PBS. The brains were removed, post-fixed in 4% PFA overnight at 4 °C, processed with 30% sucrose, cut into 30 μm coronal sections and processed for immunohistochemistry. Images were acquired on the Axioplan II epifluorescence microscope (Zeiss) with Plan-Neofluar objectives (×10/0.3 NA). Images of similar anatomical locations were quantified using NIH ImageJ (v.1.50).

    RNA in situ hybridization with immunohistochemistry

    RNA in situ hybridization with immunohistochemistry was performed on brain sections from mice infected with Delta using RNAscope Multiplex Fluorescent Assay (ACD Bio) according to the manufacturer’s protocol for FFPE tissue. In brief, tissue was deparaffinized and incubated in 3% hydrogen peroxide for 10 min, then subjected to antigen retrieval by boiling in RNAScope Target Retrieval Solution (ACD Bio) for 1 h. The samples were permeabilized with RNAScope Protease Plus reagent (ACD Bio) for 30 min at 40 °C. RNA probes were hybridized to tissue for 2 h at 40 °C. Oligonucleotide probes for mouse Trem2, Cst7 and Spp1 were designed by ACD Bio (498711-C3, and 435191-C3, respectively). Probe signals were amplified using the RNAScope Multiplex Fluorescent Reagent Kit v2 (ACD Bio) and detected with TSA Vivid Fluorophore 570 (Tocris, 7526). Tissue sections were stained for one RNA probe and counterstained for IBA1 (234 308, Synaptic Systems, 1:500) using the RNA-Protein Co-Detection Ancillary Kit (ACD Bio). The slides were imaged using the Zeiss Axioplan 2 epifluorescent microscope at ×20 and images were analysed using ImageJ (NIH). IBA1-postive microglia in each image were manually counted. Dense clusters of Trem2, Cst7 or Spp1 mRNA overlapping with IBA1 signal indicate microglia expressing disease-associated genes.

    Statistical analysis

    All values are reported as mean ± s.e.m. The Shapiro–Wilk normality test79 was used to evaluate the normal distribution of the data. The equality of variance assumption was verified for both the responses in the natural and logarithmic scales using the Brown–Forsythe test80. Comparisons between two matched-paired groups, where the assumption of normal distribution for the differences of paired responses was met, were performed using paired t-tests. P values for comparisons between two independent groups were calculated using Mann–Whitney U-tests in the case of non-normally distributed data for which the equal variance assumption was not violated. For comparisons involving more than two groups, one- or two-way ANOVA followed by Tukey’s post hoc test for multiple comparisons was used for data meeting normal distribution and equal variance assumptions. When the assumption of equal variance was violated, Welch’s t-tests were applied to log10-transformed response values, and the resulting raw P values were corrected for multiple testing using the Holm method57. For the survival analysis and weight change data, P values were calculated using the log-rank (Mantel–Cox) test and mixed-effects model, respectively. Sample sizes were determined by previous studies rather than statistical approaches. For all in vivo experiments, mice were randomized and experiments were conducted in a blinded manner to the mouse genotype, antibody or PV administration. Genotype and treatment assignment were revealed after image quantification. For bulk RNA-seq and Nanostring experiments, both mouse genotype and antibody treatment were blinded. SEM imaging and image acquisition were performed blinded to test conditions. Biochemical studies of the binding of fibrinogen to spike were performed in the Akassoglou laboratory and independently validated in the Greene laboratory and Assay Development and Drug Discovery Core with similar results.

    Reporting summary

    Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

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  • Mysterious Oropouche virus is spreading: what you should know

    Mysterious Oropouche virus is spreading: what you should know

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    Coloured scanning electron micrograph of a Southern house mosquito on a black background

    The Southern house mosquito (Culex quinquefasciatus; artificially coloured) can transmit Oropouche virus to humans, but the main vector is the midge Culicoides paraensis.Credit: Dennis Kunkel Microscopy/Science Photo Library

    Once confined to the Amazon region, the mysterious virus that causes the disease called Oropouche fever has been expanding its range since late 2023, spurring international concern. The virus has already caused more than 8,000 human infections in the Americas this year, most in Brazil but also in Peru, Bolivia, Colombia and Cuba.

    In July, authorities in Brazil reported the deaths of two adults from the disease — the first since the virus was identified almost 70 years ago. Brazilian officials are also investigating cases of fetal deaths and malformations that might have been caused by the virus, which has now been shown to spread from a pregnant person to their fetus. There are no vaccines or treatments targeting the disease.

    Earlier this month, the Pan-American Health Organization upgraded its risk level for Oropouche from moderate to high, citing the virus’s geographical spread and the occurrence of fatal cases in a disease that has been historically known to cause mild to moderate symptoms. On 23 August, the World Health Organization published a note confirming the public health risk posed by the virus as high at the regional level, and low at the global level. The US Centers for Disease Control and Prevention has advised close surveillance of people returning from affected areas. Cases of Oropouche in the United States, Spain, Italy and Germany have been identified in travellers coming from Brazil and Cuba.

    Nature spoke with Gonzalo Bello, a public health specialist at the Oswaldo Cruz Institute in Rio de Janeiro, Brazil, who has studied the lineage of the Oropouche virus currently spreading in the Americas.

    What is Oropouche?

    Oropouche is a virus of the genus Orthobunyavirus. It differs from other better-known vector-borne viruses like dengue, Zika, yellow fever or chikungunya because it is typically transmitted to humans by a midge, Culicoides paraensis, rather than by mosquitoes. But we cannot rule out the possibility that other vectors might be involved. [The virus has been found in other insects, including the mosquito Culex quinquefasciatus.]

    For how long has this virus been around?

    It was discovered in 1955 in Trinidad and Tobago, in the Caribbean. In 1960, it was first detected in Brazil from a blood sample taken from a sloth. Since the 1960s, it has been identified in outbreaks in humans more or less intermittently in the Amazon region [a vast area that spans nine countries in South America]. That’s why we say it’s a re-emerging virus, because it has been circulating for many decades at least in the Amazon, which is considered an endemic region.

    Why are we only hearing about it now? Is this the biggest outbreak we’ve seen?

    When it comes to the Amazon region, it is difficult to say whether the current outbreak is larger than in previous decades. For the first time, a molecular surveillance diagnostic system is being implemented, something that didn’t exist in past epidemics.

    The geographic extension of the outbreak does represent a change. The number of municipalities and states affected is much higher. Additionally, the virus has spread outside the Amazon region. Again, we don’t know whether this is the first time because there was no surveillance of Oropouche outside the Amazon before.

    What also raises concern is the finding of local transmission in Cuba for the first time. and imported cases in Europe and in the United States. As the Culicoides paraensis midge is found throughout the Americas, from the United States to Argentina, whenever there are infected people and there are vectors, there may be local transmission events. So, any infected individual can generate a local epidemic, that’s the main concern.

    What are the symptoms?

    The symptoms are similar to [those of] other arboviruses such as dengue: fever, headache, muscle or joint pain, pain behind the eyes, vomiting and nausea. So, it’s very difficult to diagnose an Oropouche infection only from symptoms, you really need to have a molecular laboratory diagnosis. A few cases may evolve into more severe forms, with neurological or hemorrhagic manifestations, but most cases are mild and resolve after seven or eight days.

    Is the virus becoming more dangerous? Can it cause microcephaly, an abnormally small head, in babies?

    For the first time, the presence of antibodies against Oropouche, indicative of a recent infection, was found in newborns with microcephaly. This suggests an association, but because of the study’s limitations, it wasn’t possible to establish a causal relationship between infection during intrauterine life and the neurological malformations.

    But it was possible to establish proof of mother-to-child transmission in cases of fetal and newborn death. In one case, a pregnant woman had symptoms of Oropouche and, weeks later, fetal death was confirmed. The Oropouche genome was detected in several organs of the fetus. In another recent case, a pregnant woman tested positive for Oropouche. The baby was born but died days later. Post-mortem examination identified the virus genome in various tissues, including the brain.

    There were also two deaths of previously healthy young women who had symptoms similar to severe dengue. They were not pregnant. These were the first cases in the literature classified as deaths associated with Oropouche infection.

    It is not yet possible to establish how frequently these fatal cases would be happening, either in adults or fetuses. So far, there is no evidence that the symptoms have changed compared with previous outbreaks.

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  • The pathogens that could spark the next pandemic

    The pathogens that could spark the next pandemic

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    An illustration of Monkeypox virus particles

    The monkeypox virus has been added to the WHO’s list of priority pathogens.Credit: Kateryna Kon/Science Photo Library/Getty

    The number of pathogens that could trigger the next pandemic has grown to more than 30, and now includes influenza A virus, dengue virus and monkeypox virus, according to an updated list published by the World Health Organization (WHO) this week. Researchers say that the list of ‘priority pathogens’ will help organizations to decide where to focus their efforts in developing treatments, vaccines and diagnostics.

    “It’s very comprehensive,” says Neelika Malavige, an immunologist at the University of Sri Jayewardenepura in Colombo, Sri Lanka, who was involved in the effort. She studies the Flaviviridae family of viruses, which includes the virus that causes dengue fever.

    The priority pathogens, published in a report on 30 July, were selected for their potential to cause a global public-health emergency in people, such as a pandemic. This was on the basis of evidence showing that the pathogens were highly transmissible and virulent, and that there was limited access to vaccines and treatments. The WHO’s two previous efforts, in 2017 and 2018, identified roughly a dozen priority pathogens.

    “The prioritization process helps identify critical knowledge gaps that need to be addressed urgently,“ and ensure the efficient use of resources, says Ana Maria Henao Restrepo, who leads the WHO’s R&D Blueprint for Epidemics team that prepared the report.

    It’s important to regularly revisit these lists to account for major global changes in climate change deforestation, urbanization, international travel and more, says Malavige.

    The latest effort identified risky pathogens in entire families of viruses and bacteria, which broadened its scope.

    Mpox and smallpox

    More than 200 scientists spent some two years evaluating evidence on 1,652 pathogen species — mostly viruses, and some bacteria — to decide which ones to include on the list.

    Among the more than 30 priority pathogens are the group of coronaviruses known as Sarbecovirus, which includes SARS-CoV-2 — the virus that caused the global COVID-19 pandemic — and Merbecovirus, which includes the virus that causes Middle East respiratory syndrome (MERS). Previous lists included the specific viruses that cause severe acute respiratory syndrome (SARS) and MERS, but not the entire subgenuses that they belong to.

    Other additions to the list include the monkeypox virus, which caused a global mpox outbreak in 2022, and continues to spread in pockets of Central Africa. The virus is deemed a priority, and so is it’s relative, the variola virus, which causes smallpox, despite it having been eradicated in 1980. This is because, owing to people no longer getting vaccinated routinely against the virus, and therefore not becoming immune to it, an unplanned release of it could cause a pandemic. The virus could potentially be used “by terrorists as a biological weapon”, says Malavige.

    Half a dozen influenza A viruses are also now on the list, including subtype H5, which has sparked an outbreak in cattle in the United States. Among the five bacteria — all newly added — are strains that cause cholera, plague, dysentery, diarrhea and pneumonia.

    Two rodent viruses have also been added because they have jumped to people, with sporadic human-to-human transmission. Climate change and increased urbanization could raise the risk of these viruses transmitting to people, according to the report. The bat-borne Nipah virus remains on the list because it is deadly and highly transmissible in animals, and there are currently no therapies to protect against it.

    Many of the priority pathogens are currently confined to specific regions but have the potential to spread globally, says says Naomi Forrester-Soto, a virologist at the Pirbright Institute near Woking, UK, who also contributed to the analysis. She studies the Togaviridae family, which includes the virus that causes Chikungunya. “There isn’t really any one place that is most at risk,” she says.

    ‘Prototype’ pathogens

    In addition to the list of priority pathogens, researchers also created a separate list of ‘prototype pathogens’, which could act as model species for basic-science studies and the development of therapies and vaccines. “This may encourage more research,” into less-studied viruses and bacteria, says Forrester-Soto.

    For example, before the COVID-19 pandemic, there were no available human vaccines for any of the coronaviruses, says Malik Peiris, a virologist at the University of Hong Kong, who was part of the Coronaviridae research group. Developing vaccines for one member of the family will bring confidence to the scientific community that it is better placed to address a major public-health emergency for those viruses, he says. This applies to treatments, too, he says, because “many antivirals work across a whole group of viruses”.

    Forrester-Soto says that the list of pathogens is reasonable given what researchers know about the viruses. But “some pathogens from the list may never cause an epidemic, and one we have not thought of may be important in the future,” she says. “We have almost never predicted the next pathogen to emerge.”.

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  • Your nose has its own army of immune cells — here’s how it protects you

    Your nose has its own army of immune cells — here’s how it protects you

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    Close-up of a mother wiping a toddler's nose with tissue

    The nose knows: immune cells in the nasal passageways stand ready to produce antibodies against incoming pathogens.Credit: Getty

    The nose is home to a host of long-lived immune cells that stand ready to fend off viral and bacterial infections, according to the most detailed look to date at the immune players that make up the first line of defence for the lungs1.

    The findings, published on 31 July in Nature, show that the nose and upper airway — which includes the mouth, sinuses and throat but not the windpipe — serve as key training grounds where immune cells ‘memorize’ intruding pathogens. These memories allow the cells to defend against future attacks by similar microorganisms. The data could speed up development of mucosal vaccines, administered through the nose or throat, which immunologists say could be more effective than vaccines injected into muscles.

    This “exciting study” shows that an “arsenal of immune cells capable of fighting off respiratory infections” can be reliably detected in the upper airways of both young adults and older people, who typically have weaker immune responses, says Linda Wakim, an immunologist at the University of Melbourne in Australia, and who was not involved with the research.

    On the nose

    Previous research on the immune system has focused on immune cells in the blood and lower airways, primarily because these regions are relatively accessible through blood draws and some types of biopsy and organ donation, says study co-author Sydney Ramirez, an infectious-disease physician and immunologist at the La Jolla Institute for Immunology in California.

    Then came the COVID-19 pandemic and the emergence of variants, such as Omicron, that proliferate with high efficiency in the upper airway. These developments prompted Ramirez and her colleagues to find ways to sample and better understand how immune cells in the upper airways interact with pathogens and develop immune memory.

    The team turned to nasopharyngeal swabs, which can reach the back of the nose and were widely used in high-income countries for SARS-CoV-2 tests. The researchers swabbed about 30 healthy adults every month for more than one year to see how their immune-cell populations changed over time. They found millions of immune cells in these samples, including cells that provide immune memory.

    Nasal defence force

    The researchers also learnt that they could swab hard-to-reach immune organs called the adenoids, which are tucked away at the back of the nose. These organs analyse inhaled air and contain structures called germinal centres. These structures, which are also found in other immune tissues, act as training camps where the immune agents called B cells learn to make effective antibodies.

    Adenoids shrink in adulthood, yet the researchers found active germinal centres in the adenoids of study participants of all ages — findings that should be “reassuring for all of us over 20 years old”, Ramirez says. The researchers also inadvertently found evidence of these germinal centres’ effectiveness: several participants contracted COVID-19 during the study, and the researchers found that these participants’ noses hosted B cells that specialize in targeting SARS-CoV-2.

    Germinal centres are typically active only during and shortly after acute infection or immunization, yet the authors found active germinal centres even when participants didn’t report feeling sick. Using this new swabbing technique, researchers might soon understand what’s driving the centres’ activity and how SARS-CoV-2 infection shapes these immune responses, says Donna Farber, an immunologist at Columbia University in New York City, who was not involved with the study.

    These findings can also offer a “very valuable” quantitative method to measure the changes in immune response after vaccination, particularly to test intranasal vaccine candidates, Farber says. But she adds that they also show how high a hill there is to climb: if the immune system is constantly active in the upper airways, pre-existing antibodies might block the protective effects of intranasal vaccines.

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  • How light-based computers could cut AI’s energy needs

    How light-based computers could cut AI’s energy needs

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    Download the Nature Podcast 31 July 2024

    In this episode:

    00:45 Increasing the energy efficiency of light-based computers

    Computer components based on specialized LEDs could reduce the energy consumption of power-hungry AI systems, according to new research. AI chips with components that compute using light can run more efficiently than those using digital electronics, but these light-based systems typically use lasers that can be bulky and difficult to control. To overcome these obstacles, a team has developed a way to replace these lasers with LEDs, which are cheaper and more efficient to run. Although only a proof of concept, they demonstrate that their system can perform some tasks as well as laser-based computers.

    Research Article: Dong et al.

    News and Views: Cheap light sources could make AI more energy efficient

    10:36 Research Highlights

    The genes that make roses smell so sweet, and how blocking inflammation could reduce heart injury after a stroke.

    Research Highlight: How the rose got its iconic fragrance

    Research Highlight: Strokes can damage the heart — but reining in the immune system might help

    13:02 What researchers know about H5N1 influenza in cows

    The highly pathogenic avian influenza H5N1 was first identified in US cattle in March 2024 and has been detected in multiple herds across the country. We round up what researchers currently know about this spread, what can be done to prevent it, and the risks this outbreak may pose to humans.

    Nature News: Can H5N1 spread through cow sneezes? Experiment offers clues

    Nature News: Huge amounts of bird-flu virus found in raw milk of infected cows

    Nature News: Could bird flu in cows lead to a human outbreak? Slow response worries scientists

    Research article: Eisfeld et al.

    22:38 Briefing Chat

    NASA’s Perseverance rover finds a Martian rock containing features associated with fossilized microbial life, and how metallic nodules on the ocean floor could be the source of mysterious ‘dark oxygen’.

    Space.com: NASA’s Perseverance Mars rover finds possible signs of ancient Red Planet life

    Nature News: Mystery oxygen source discovered on the sea floor — bewildering scientists

    Subscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday.

    Never miss an episode. Subscribe to the Nature Podcast on Apple Podcasts, Spotify, YouTube Music or your favourite podcast app. An RSS feed for the Nature Podcast is available too.

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  • Mini saunas save endangered frogs from fungal disease

    Mini saunas save endangered frogs from fungal disease

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    Nature, Published online: 26 June 2024; doi:10.1038/d41586-024-01650-z

    Amphibian species around the world are threatened with extinction by the deadly fungal disease chytridiomycosis. A simple, low-cost solution to provide warm conditions enables frogs to clear the infection and remain disease free.

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  • Lack of an immune receptor might prevent cancers associated with Epstein–Barr virus

    Lack of an immune receptor might prevent cancers associated with Epstein–Barr virus

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    • RESEARCH BRIEFINGS

    A molecule called IL-27 is involved in several immune responses. Congenital alterations in the gene encoding a subunit of the IL-27 receptor result in susceptibility to severe infections with the Epstein–Barr virus. However, IL-27 is also required for the proliferation of virus-infected B cells that become cancerous, so deficiency in the receptor might have a protective role against cancers associated with Epstein–Barr virus.

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  • Drug-resistant infections more likely to strike women, says WHO

    Drug-resistant infections more likely to strike women, says WHO

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    Women might be more likely to develop drug-resistant infections than men — an under-recognized aspect of the growing threat of antimicrobial resistance, according to a global review led by the World Health Organization (WHO). The report finds that more than 70% of countries do not recognize gender inequalities in national plans to tackle drug-resistant infections.

    And last month, the WHO added four pathogens to its list of the drug-resistant bacteria it considers to be most dangerous to humans. The list, first published in 2017, helps nations to shape their action plans against antimicrobial resistance (AMR), which is caused by the overuse and misuse of antibiotics that leads to bacteria becoming resistant to the medications through mutations in their DNA.

    The changes to the list were based on how commonly the bacteria cause infections, their deadliness and how easily infections can be prevented through measures such as handwashing, quarantine and vaccination. The WHO added three streptococcal bacteria — which cause conditions including a type of pneumonia and an influenza-like infection that can be fatal in extreme cases — and a highly resistant variety of tuberculosis (see ‘Dangerous drug resistance’). The streptococci are linked to a high burden of disease, especially in poor countries, and the tuberculosis strain is difficult to detect and very expensive to treat.

    Gender disparity

    The gender review suggests that women, particularly those in low-resource settings, might be at a higher risk than men of contracting drug-resistant infections, owing to factors including menstrual-hygiene needs and gendered divisions of labour. The analysis will shape the first-ever WHO report on how policymakers can address gender inequalities in efforts to tackle the global threat, scheduled to be published in July.

    “The majority of national action plans available have no mention of sex or gender, let alone consider this in the design of AMR interventions,” said Zlatina Dobreva, a technical officer focusing on AMR at the WHO in Geneva, Switzerland, when she presented the review last month at the European Society of Clinical Microbiology and Infectious Diseases conference in Barcelona, Spain.

    “Gender influences exposure to infection, infection-prevention, health-care-seeking and self-treatment behaviours, as well as prescribing patterns,” she said. The WHO conducted the review in collaboration with researchers at the Global Strategy Lab in Toronto, Canada.

    “It is imperative to study gender as it is one of the core social determinants of population health and health inequalities,” says Deepshikha Batheja at the One Health Trust in Bengaluru, India, who studies the factors that influence women’s participation and productivity in paid work in India, and provided feedback to the WHO and Global Strategy Lab teams on how the review was conducted. “This is an excellent and timely piece of work,” she says.

    Many factors

    The researchers analysed 130 English-language studies that focused on gender and antimicrobial resistance, published between 2000 and 2023. Around 20% of the studies focused on Africa, and nearly 15% focused on southeast Asia.

    The team found that, in poor regions, inadequate access to clean water puts women and girls at a greater risk of drug-resistant urinary tract infections than men, because of menstrual-hygiene needs. In these settings, women and girls are also often responsible for fetching water, preparing food and doing farm work, which increases their exposure to pathogens such as antibiotic-resistant E. coli in water and food, and to antibiotics fed to animals.

    Women are also more likely to encounter drug-resistant infections in hospitals and clinics, because they typically spend more time in them than men do. Globally, women make up 70% of health-care workers, and they tend to be responsible for making decisions about their children’s health and vaccinations, says Dobreva.

    And higher rates of sexual violence against women compared with men also put them at a greater risk of drug-resistant sexually transmitted infections. In some regions, the lack of financial independence and decision-making power that result from cultural norms limit women’s access to treatments for infections. This makes them more likely to self-diagnose and use inappropriate treatments that allow microbes to persist and evolve drug resistance.

    Dearth of data

    Despite the many factors that put women at a greater risk of drug-resistant infections, it is not clear whether such infections are more common in women than in men. That’s because many countries do not collect data on sex and gender when tracking antimicrobial resistance, says Dobreva.

    Filling this data gap is crucial to addressing gender inequality, she says. “When research studies are conducted, they need to consistently report on sex [and if possible, gender] and collect that data, because it’s a missed opportunity if you don’t do that,” says Dobreva.

    Dobreva hopes that the review and upcoming WHO report will raise awareness of the need to discuss gender inequality at the United Nations General Assembly meeting on antimicrobial resistance in September. That meeting aims to encourage countries to make firm commitments on how to address the global threat. Since the WHO adopted a global action plan for antimicrobial resistance in 2015, more than 170 countries have drawn up plans — but none are legally binding.

    The latest review struck a chord with antimicrobial-resistance researcher Charity Wiafe Akenten at the Kumasi Centre for Collaborative Research in Tropical Medicine, Ghana, who was at the microbiology meeting. “I have not thought of how gender and AMR overlap before,” she says.

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  • Huge amounts of bird-flu virus found in raw milk of infected cows

    Huge amounts of bird-flu virus found in raw milk of infected cows

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    Close-up of a cattle's udder is seen as the farmer uses a machine to milk it

    The H5N1 virus can persist for hours in spattered droplets of milk from infected cows. Credit: Juancho Torres/Anadolu Agency/Getty

    Milk from cows infected with bird flu contains astronomical numbers of viral particles, which can survive for hours in splattered milk, new data shows1,2. The research adds to growing evidence that the act of milking has probably been driving viral transmission among cows, other animals and potentially humans.

    That’s a better scenario for public health than transmission through airborne particles, which would be more difficult to contain. “It’s good news it’s probably spreading by the milking process,” says Martin Beer, a virologist at the Federal Research Institute for Animal Health in Greifswald, Germany. This means that changes to milking procedures could help to bring the outbreak under control and prevent human infections.

    A virus that’s going places

    Since it was first isolated in 19963, the highly pathogenic bird-flu virus H5N1 has caused outbreaks in domestic and wild birds around the world, and it has occasionally infected mammals such as seals and foxes. On 25 March, US health officials announced that H5N1 had been detected in dairy cows for the first time. As of 5 June, infections have been confirmed in more than 80 dairy herds in nine states and in three dairy farm workers, all of whom had mild symptoms.

    Scientists had not previously suspected that cattle could easily become infected with bird flu, because the animals were thought to lack the receptor allowing the virus to enter their cells. But reports of sick cattle with inflamed udders raised suspicions that the virus can infect the animals’ mammary glands.

    New studies4,5 support this idea, showing that cells lining cows’ milk glands have abundant receptors for H5N1 and that this bird-flu strain proliferates in these cells rather than in the respiratory tract, which influenza viruses usually infect. “The mammary glands seem to be the main target of viral replication,” says Diego Diel, a virologist at Cornell University in Ithaca, New York, who co-authored one of the studies. But some infected cows also experience mild respiratory symptoms, Diel and his colleagues report.

    The studies were posted on the preprint server bioRxiv and have not yet been peer reviewed.

    Viral milkshake

    Diel and his colleagues examined the milk of cows with H5N1 and found astonishing amounts of virus: some samples contained hundreds of millions of infectious particles, a level “that is higher than we can grow in the lab” for experiments, says Seema Lakdawala, an influenza virologist at Emory University School of Medicine in Atlanta, Georgia. “In ideal conditions, we don’t get that — this is crazy high.”

    This abundance could help to explain why H5N1 viral fragments have been found in one in five retail milk samples6: a small number of infected cows could taint the milk supply with many particles. (Pasteurization inactivates H5N1 in milk, according to a preprint7 posted last week.)

    Beer sees opportunity in the sky-high numbers of infectious virus particles in milk. It means that testing milk pooled from all of a farm’s cows is likely to reveal the presence of even a few infected ones, and this is easier than testing individual animals. Pooled testing could inform workers on when to be on the lookout for sick animals, which could then be isolated.

    Spilt milk

    The findings suggest that minimizing exposure to raw milk could be an important way to prevent transmission. But the enormous scale of US milking operations means that stopping the spread will be complicated, says Juergen Richt, a veterinary virologist at Kansas State University in Manhattan.

    To begin with, the same milking equipment is used on many cows, offering the virus ample opportunity to spread. And milking is messy. Milk often spills onto the floor, and when equipment that suctions to cows’ udders is released, the liquid sprays out in every direction. This endangers dairy workers, Lakdawala adds. “That isn’t normally a big deal for people who work there — they’re used to it — but that means they’re bombarded with virus.”

    Data collected by Lakdawala and her colleagues support her worries: infectious virus can persist in milk droplets and on milking machines for hours, they found. On the basis of these data, she urges farms to consider disinfecting equipment between uses, installing proper ventilation and offering protective equipment, such as face shields, to farm workers to prevent further spread.

    To complicate matters, lactating cows — infected or not — must be milked regularly to avoid serious injury to the animal. That means that dairy farms, which typically send raw milk to large-scale facilities for processing, need money and equipment to inactivate the virus in milk from infected cows. Otherwise, it might be dumped it in a place where other animals, such as farm cats, could encounter it, Lakdawala says.

    Richt and his colleagues are collecting data to determine whether non-lactating cows and male cattle are also susceptible to the virus, but for now, he says that focusing on milking can help to control the outbreak.

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