Michael H. Malim’s research while affiliated with King's College London and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (328)


Figure 1. COVID-19 variant distribution and participant baseline characteristics. Figure 1 shows the timeline of daily COVID-19 case counts and variant distribution from March 2020 to February 2022, indicating that samples collected between July 2020 and October 2021 are primarily linked to the A.23.1 and Delta variants. This figure is adapted and reused with permission from Bbosa et al. [21].
Figure 3. Longitudinal potency and breadth of neutralizing antibody responses against SARS-CoV-2 variants over 427 days. Figure 3 shows a heatmap and bar graph illustrating the neutralizing antibody responses against various SARS-CoV-2 variants over 427 days. In the heatmap (A), darker cells represent higher neutralizing titers, while lighter cells indicate lower titers; white cells represent missing data. Each row corresponds to a participant's neutralization responses over time, highlighting that only a few participants maintained high neutralizing titers across all viruses and time points. The stacked bar graph (B) shows the proportion of participants within different neutralization titer groups over time for each variant. Most subjects displayed low (25-100) titers against D614G, intermediate (100-500) titers against A.23.1, and a mix of low and intermediate titers against the Delta variant.
Figure 4. Correlation heat map of neutralizing antibody titers against SARS-CoV-2 variants and spike-directed IgG antibodies. Figure 4 displays heat maps comparing the correlations between neutralizing antibody titers against SARS-CoV-2 variants D614G, A.23.1, Delta, and BA.4 and spikedirected IgG antibody levels for D614G (A) and A.23.1 (B). Positive correlations are indicated in purple, while negative correlations are shown in red. Statistical significance was determined at a threshold of p ≤ 0.05; p-values are indicated in the heatmap.
Figure 5. Fold changes in neutralizing titers relative to D614G and A.23.1 and neutralization patterns in re-infected and vaccinated Subjects. Figure 5 shows the log-transformed geometric mean titer (GMT) fold changes in neutralizing antibody responses relative to D614G (A) and A.23.1 (B) across different time points in a cohort of 41 participants. A fold change above 0 indicates an increase, while a fold change below 0 indicates a decrease in neutralizing titers relative to the reference virus. Panel (C) displays the neutralizing titers of re-infected subjects over time, categorized by days postinfection, with a focus on variations in neutralization responses across different virus variants. (D) illustrates the neutralizing titers before and after vaccination in vaccinated subjects, showing the comparative changes in responses to each virus variant following vaccination. Horizontal lines represent the log-transformed geometric mean titers at each time point for each virus. Fold changes are presented as log-transformed values, with raw unlogged values in brackets. Statistically significant differences are indicated, marked by p-values ≤ 0.05, confirming a consistent rise in antibody titers across all variants following vaccination.
Proportion of subjects neutralizing SARS-CoV-2 variants at various neutralizing titers over time.
Long-Term Immune Consequences of Initial SARS-CoV-2 A.23.1 Exposure: A Longitudinal Study of Antibody Responses and Cross-Neutralization in a Ugandan Cohort
  • Article
  • Full-text available

January 2025

·

6 Reads

·

·

·

[...]

·

Background: This study assessed the long-term dynamics of neutralizing antibodies in a Ugandan cohort primarily exposed to the A.23.1 SARS-CoV-2 variant, examining how this shaped immune breadth and potency against diverse strains following infection and prototype-based vaccination. Methods: We conducted a 427-day retrospective analysis of 41 participants across multiple SARS-CoV-2 waves, assessing binding and neutralizing antibody responses using in-house ELISA and pseudotyped virus neutralization assays. We quantified immune responses to key SARS-CoV-2 variants, A.23.1, D614G, Delta, and BA.4, capturing evolving immunity across the pandemic. Results: Neutralizing antibody titers against A.23.1 remained significantly higher than those against D614G, Delta, and BA.4, highlighting the solid immune memory following A.23.1 infection. Consistently lower titers were observed for BA.4 across all time points, aligning with its strong immune-evasion capability. Correlations between neutralizing titers and spike-directed IgG (S-IgG) concentrations were significantly stronger for A.23.1 than for D614G, with no correlation for BA.4. ChAdOx1-S vaccination substantially elevated the neutralizing titers across all variants, most notably BA.4, highlighting the essential role of vaccination in boosting immunity, even in individuals with initially low titers. Conclusions: Initial exposure to the A.23.1 variant triggered potent immune responses, shaping neutralizing antibody dynamics during subsequent exposures. These findings highlight the importance of accounting for early viral exposures in vaccine development and public health planning. The distinctly lower immune response to BA.4 highlights the need for continuous antigenic monitoring and timely vaccine updates for protection against emerging variants. Vaccination remains essential for reinforcing and sustaining immunity against evolving variants.

Download

Long-Term Immune Consequences of Initial SARS-CoV-2 A.23.1 Exposure: A Longitudinal Study of Antibody Responses and Cross-Neutralisation in a Ugandan Cohort

January 2025

·

3 Reads

Background: This study assessed the long-term dynamics of neutralising antibodies in a Ugandan cohort primarily exposed to the A.23.1 SARS-CoV-2 variant, examining how this shaped immune breadth and potency against diverse strains following infection and prototype-based vaccination. Methods: We conducted a 427-day retrospective analysis of 41 participants across multiple SARS-CoV-2 waves, assessing binding and neutralising antibody responses using in-house ELISA and pseudotyped virus neutralisation assays. We quantified immune responses to key SARS-CoV-2 variants, A.23.1, D614G, Delta, and BA.4, capturing evolving immunity across the pandemic. Results: Neutralising antibody titres against A.23.1 remained significantly higher than those against D614G, Delta, and BA.4, highlighting the solid immune memory following A.23.1 infection. Consistently lower titres were observed for BA.4 across all time points, aligning with its strong immune-evasion capability. Correlations between neutralising titres and spike-directed IgG (S-IgG) concentrations were significantly stronger for A.23.1 than for D614G, with no correlation for BA.4. ChAdOx1-S vaccination substantially elevated the neutralising titres across all variants, most notably BA.4, highlighting the essential role of vaccination in boosting immunity, even in individuals with initially low titres. Conclusions: Initial exposure to the A.23.1 variant triggered potent immune responses, shaping neutralising antibody dynamics during subsequent exposures. These findings highlight the importance of accounting for early viral exposures in vaccine development and public health planning. The distinctly lower immune response to BA.4 highlights the need for continuous antigenic monitoring and timely vaccine updates for protection against emerging variants. Vaccination remains essential, reinforcing and sustaining im-munity against evolving variants.


Antibodies to the RBD of SARS-CoV-2 spike mediate productive infection of primary human macrophages

December 2024

·

41 Reads

The role of myeloid cells in the pathogenesis of SARS-CoV-2 is well established, in particular as drivers of cytokine production and systemic inflammation characteristic of severe COVID-19. However, the potential for myeloid cells to act as bona fide targets of productive SARS-CoV-2 infection, and the specifics of entry, remain unclear. Using a panel of anti-SARS-CoV-2 monoclonal antibodies (mAbs) we performed a detailed assessment of antibody-mediated infection of monocytes/macrophages. mAbs with the most consistent potential to mediate infection were those targeting a conserved region of the receptor binding domain (RBD; group 1/class 4). Infection was closely related to the neutralising concentration of the mAbs, with peak infection occurring below the IC50, while pre-treating cells with remdesivir or FcγRI-blocking antibodies inhibited infection. Studies performed in primary macrophages demonstrated high-level and productive infection, with infected macrophages appearing multinucleated and syncytial. Infection was not seen in the absence of antibody with the same quantity of virus. Addition of ruxolitinib significantly increased infection, indicating restraint of infection through innate immune mechanisms rather than entry. High-level production of pro-inflammatory cytokines directly correlated with macrophage infection levels. We hypothesise that infection via antibody-FcR interactions could contribute to pathogenesis in primary infection, systemic virus spread or persistent infection.


Schematic representation of the study cohort, experimental flow and samples analyzed
a Summary of the number of samples used for mass cytometry and cell stimulation assay from each disease groups at timepoints T1 (acute), T2 (defervescence), T3 (convalescence). b Sample numbers available and analyzed. For a full overview of the sample types and at an individual level see the Supplementary Fig. 1. Abbreviations: MIS-C, multi-system inflammatory syndrome in children; SBI, severe bacterial infection; SVI, severe viral infection; KD, Kawasaki disease; HPC, healthy pediatric control; HAC, healthy adult control. Figure 1a created with BioRender.com released under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license. Source data are provided as a Source Data file.
Supervised and unsupervised approaches to immune cell data show differences between disease groups and key immune cell features in acute (T1) disease
a Principal component analyses of immune cell features measured by patient and disease group (small symbol; upper) and eigenvectors (lower; top 5 eigenvectors shown). Ellipses indicate 95% confidence intervals around the group center (large symbol). b Results of a generalized linear model regressing immune cell features with each disease group. Comparisons included MIS-C vs SBI and SVI combined (“rest”) as well as at an individual group level. The Benjamini-Hochberg method was used to adjust the two-sided p value for multiple testing; only comparisons with adjusted p < 0.05 have been shown. c Heatmap displaying immune cell features associated with disease group (b) with disease groups clustered as columns (Ward’s hierarchical clustering), and data scaled by row. Source data are provided as a Source Data file.
Multiplex cytokine assay results of cell stimulation assay supernatant
Concentration (picog/ml) or fold change of IFN, IFNβ, IL6, TNF, and IP10 in acute (T1) and convalescent (T3) samples with (a), No stimulation, (b), SARS-CoV-2 antigen stimulation and (c), mitogen stimulation. Log10 transformed data are shown. Each point represents a participant for the following groups: multisystem inflammatory syndrome in children (MIS-C), severe bacterial illness (SBI), severe viral illness (SVI), Kawasaki disease (KD), other inflammatory disease (INF). Point shape corresponds to treatment received prior to blood sampling: ivig = intravenous immunoglobulin, steroid = corticosteroids, mab = monoclonal antibody. Two-sided Wilcoxon pairwise comparisons with Benjamini-Hochberg correction were performed; only significant p values are displayed. *=0.05, **=0.01, ***=0.001, ****=0.0001. Boxplots represent the median (horizontal line), first and third quartile boundary (box) and 1.5 times the inter-quartile range (whiskers). Source data are provided as a Source Data file.
Targeted analyses of immune cell data following cell stimulation assays
Patients with multisystem inflammatory syndrome in children at timepoints 1 and 3 (MIS-C T1, n = 8; MIS-C T3, n = 6) and healthy pediatric controls (HPC, n = 3) were included. Heatmap of variables associated with (a), innate immunity and (b), the T cell immune response are summarized using an unsupervised hierarchical clustering model with cohort (disease group and timepoint) plotted on the x axis. Cells were measured in three states: no stimulation, stimulation with SARS-CoV-2 antigen and stimulation with mitogen. (c), Significant results from two-sided Wilcoxon pairwise comparisons are shown with unadjusted and adjusted (Benjamini–Hochberg) p values. Source data are provided as a Source Data file.
Whole blood gene expression counts generated by RNA-Seq
Samples are from children with MIS-C (n = 38), bacterial infections (DB, n = 188), viral infections (DV, n = 138), Kawasaki disease (KD, n = 136), and healthy controls (HC, n = 134). Gene counts were normalized and log2-transformed. a Genes involved with formation of neutrophil extracellular traps (NETs). b Genes encoding FcγRI and FcγRIII. c Genes implicated in T cell exhaustion. d Genes associated with interferon signaling. Data shown are normalized to healthy pediatric controls for this cohort. Two-sided Wilcoxon pairwise comparisons with Benjamini Hochberg correction were performed; only significant p values are displayed. *=0.05, **=0.01, ***=0.001, ****=0.0001. Boxplots represent the median (horizontal line), first and third quartile boundary (box) and 1.5 times the inter-quartile range (whiskers) with all data points shown. Source data are provided as a Source Data file.
Shared neutrophil and T cell dysfunction is accompanied by a distinct interferon signature during severe febrile illnesses in children

September 2024

·

116 Reads

Severe febrile illnesses in children encompass life-threatening organ dysfunction caused by diverse pathogens and other severe inflammatory syndromes. A comparative approach to these illnesses may identify shared and distinct features of host immune dysfunction amenable to immunomodulation. Here, using immunophenotyping with mass cytometry and cell stimulation experiments, we illustrate trajectories of immune dysfunction in 74 children with multi-system inflammatory syndrome in children (MIS-C) associated with SARS-CoV-2, 30 with bacterial infection, 16 with viral infection, 8 with Kawasaki disease, and 42 controls. We explore these findings in a secondary cohort of 500 children with these illnesses and 134 controls. We show that neutrophil activation and apoptosis are prominent in multi-system inflammatory syndrome, and that this is partially shared with bacterial infection. We show that memory T cells from patients with multi-system inflammatory syndrome and bacterial infection are exhausted. In contrast, we show viral infection to be characterized by a distinct signature of decreased interferon signaling and lower interferon receptor gene expression. Improved understanding of immune dysfunction may improve approaches to immunomodulator therapy in severe febrile illnesses in children.



Figure 2. KCL TEST laboratory set-up. (A) Schematic timeline of KCL TEST laboratory, size of shift patterns and time of the shifts. (B) Schematic diagram of our laboratory set-up, with different spaces/rooms (dotted lines). Sample unbagging, wiping, and racking (1) happened in one area; logging (2), plating by OT-2 robots (3) and extracting RNA (3) happened in another area, with two OT-2 robots plating buffers for RNA extraction with the Kingfisher Flex (KF) system. RT-qPCR was set up in a separate room to avoid contamination (5) with one master mix plating OT-2 and a sample plating OT-2 using an eight-channel multichannel pipette set out to dispense in a 384-well format. Plates were spun and taken to the thermocyclers (6) for RTqPCR. Data were analysed and results sent (7).
Figure 3. Homebrew RNA extraction matches data from commercial kits. RT-qPCR results comparing Ct values from the same samples extracted with homebrew (HB) or Beckman (BM) (n ¼ 980). ���� p < 0.0001 Wilcoxon two-tailed tests.
Figure 4. Sensitivity and specificity of KCL TEST. (A) Linearity data on the detection of nucleoprotein (N) viral target employing Prolab's VIASURE SARS-COV-2 real-time PCR detection kit in saliva samples. (B) Correlation of the Ct obtained for N amplification in positive samples analysed with Prolab (Viasure) versus in-house assay. (C) Summary of the clinical validation of our in-house assay comparing saliva versus swab.
Figure 5. KCL TEST summary data and comparison with UK Office for National Statistics. (A) Graph showing the longitudinal cases versus number of samples in KCL TEST. (B) Graph showing the overlay of % positive cases detected by KCL TEST versus those reported by the UK Office for National Statistics. In both A and B, we have overlayed the information on lockdowns and most common variants present at the time.
KCL TEST: an open-source inspired asymptomatic SARS-CoV-2 surveillance programme in an academic institution

June 2024

·

35 Reads

Biology Methods and Protocols

Rapid and accessible testing was paramount in the management of the COVID-19 pandemic. Our university established KCL TEST: a SARS-CoV-2 asymptomatic testing programme that enabled sensitive and accessible PCR testing of SARS-CoV-2 RNA in saliva. Here, we describe our learnings and provide our blueprint for launching diagnostic laboratories, particularly in low-resource settings. Between December 2020 and July 2022, we performed 158,277 PCRs for our staff, students, and their household contacts, free of charge. Our average turnaround time was 16 hours and 37 mins from user registration to result delivery. KCL TEST combined open-source automation and in house non-commercial reagents, which allows for rapid implementation and repurposing. Importantly, our data parallel those of the UK Office for National Statistics, though we detected a lower positive rate and virtually no delta wave. Our observations strongly support regular asymptomatic community testing as an important measure for decreasing outbreaks and providing safe working spaces. Universities can therefore provide agile, resilient, and accurate testing that reflects the infection rate and trend of the general population. Our findings call for the early integration of academic institutions in pandemic preparedness, with capabilities to rapidly deploy highly skilled staff, as well as develop, test and accommodate efficient low-cost pipelines.


Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease

April 2024

·

785 Reads

·

37 Citations

Nature Immunology

One in ten severe acute respiratory syndrome coronavirus 2 infections result in prolonged symptoms termed long coronavirus disease (COVID), yet disease phenotypes and mechanisms are poorly understood ¹ . Here we profiled 368 plasma proteins in 657 participants ≥3 months following hospitalization. Of these, 426 had at least one long COVID symptom and 233 had fully recovered. Elevated markers of myeloid inflammation and complement activation were associated with long COVID. IL-1R2, MATN2 and COLEC12 were associated with cardiorespiratory symptoms, fatigue and anxiety/depression; MATN2, CSF3 and C1QA were elevated in gastrointestinal symptoms and C1QA was elevated in cognitive impairment. Additional markers of alterations in nerve tissue repair (SPON-1 and NFASC) were elevated in those with cognitive impairment and SCG3, suggestive of brain–gut axis disturbance, was elevated in gastrointestinal symptoms. Severe acute respiratory syndrome coronavirus 2-specific immunoglobulin G (IgG) was persistently elevated in some individuals with long COVID, but virus was not detected in sputum. Analysis of inflammatory markers in nasal fluids showed no association with symptoms. Our study aimed to understand inflammatory processes that underlie long COVID and was not designed for biomarker discovery. Our findings suggest that specific inflammatory pathways related to tissue damage are implicated in subtypes of long COVID, which might be targeted in future therapeutic trials.


Accelarated immune ageing is associated with COVID-19 disease severity

January 2024

·

292 Reads

·

9 Citations

Immunity & Ageing

Background The striking increase in COVID-19 severity in older adults provides a clear example of immunesenescence, the age-related remodelling of the immune system. To better characterise the association between convalescent immunesenescence and acute disease severity, we determined the immune phenotype of COVID-19 survivors and non-infected controls. Results We performed detailed immune phenotyping of peripheral blood mononuclear cells isolated from 103 COVID-19 survivors 3–5 months post recovery who were classified as having had severe ( n = 56; age 53.12 ± 11.30 years), moderate ( n = 32; age 52.28 ± 11.43 years) or mild ( n = 15; age 49.67 ± 7.30 years) disease and compared with age and sex-matched healthy adults ( n = 59; age 50.49 ± 10.68 years). We assessed a broad range of immune cell phenotypes to generate a composite score, IMM-AGE, to determine the degree of immune senescence. We found increased immunesenescence features in severe COVID-19 survivors compared to controls including: a reduced frequency and number of naïve CD4 and CD8 T cells ( p < 0.0001); increased frequency of EMRA CD4 ( p < 0.003) and CD8 T cells ( p < 0.001); a higher frequency ( p < 0.0001) and absolute numbers ( p < 0.001) of CD28 −ve CD57 +ve senescent CD4 and CD8 T cells; higher frequency ( p < 0.003) and absolute numbers ( p < 0.02) of PD-1 expressing exhausted CD8 T cells; a two-fold increase in Th17 polarisation ( p < 0.0001); higher frequency of memory B cells ( p < 0.001) and increased frequency ( p < 0.0001) and numbers ( p < 0.001) of CD57 +ve senescent NK cells. As a result, the IMM-AGE score was significantly higher in severe COVID-19 survivors than in controls ( p < 0.001). Few differences were seen for those with moderate disease and none for mild disease. Regression analysis revealed the only pre-existing variable influencing the IMM-AGE score was South Asian ethnicity ( β\beta β = 0.174, p = 0.043), with a major influence being disease severity ( β\beta β = 0.188, p = 0.01). Conclusions Our analyses reveal a state of enhanced immune ageing in survivors of severe COVID-19 and suggest this could be related to SARS-Cov-2 infection. Our data support the rationale for trials of anti-immune ageing interventions for improving clinical outcomes in these patients with severe disease.




Citations (73)


... In this respect, a study investigating the post-recovery results of 587,330 patients admitted to hospitals in predicted outcomes at 2-3 years. Occupational changes were reported by 26.9% of participants, largely due to health issues, and were closely linked to cognitive deficits [13]. A recent systematic review of 16 studies (from 502 retrieved) examining COVID-19's impact on working memory in patients without prior cognitive impairment also showed 22.5-55% experienced acute-phase impairment, with 6.2-10% still affected at six months. ...

Reference:

Persistent Health and Cognitive Impairments up to Four Years Post-COVID-19 in Young Students: The Impact of Virus Variants and Vaccination Timing
Cognitive and psychiatric symptom trajectories 2–3 years after hospital admission for COVID-19: a longitudinal, prospective cohort study in the UK
  • Citing Article
  • July 2024

The Lancet Psychiatry

... Nine of these 26 analytes were from the serum Olink assay. Of these, DNER (Delta And Notch-Like Epidermal Growth Factor-Related Receptor), a non-canonical Notch ligand that has been implicated in promoting tumor growth and metastasis and in supporting wound healing 48,49 was significantly reduced in LC participants, consistent with a prior study of plasma proteomics in LC subjects 28 . The remaining serum Olink analytes were negatively associated with the recovery factor. ...

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease

Nature Immunology

... We used the PHOSP-COVID cohort, a multicentre, prospective cohort study which has been described previously. 26,34 Briefly, the sample population comprised people aged 18 years and older who were discharged from 83 National Health Service (NHS) hospitals across the United Kingdom following admission to a medical assessment unit or ward for confirmed or clinician-diagnosed COVID-19 to 31 March 2021. As we required follow-up data for this study, we included participants who consented to attend additional in-person research visits (tier 2, 39 sites; Figure S1) within approximately 1-year from discharge alongside routine clinical care. ...

Cohort Profile: Post-Hospitalisation COVID-19 (PHOSP-COVID) study

International Journal of Epidemiology

... The immune system is in constant communication with neurological processes through a network of signaling molecules and pathways. This ongoing cross-talk is essential for maintaining homeostasis but can also contribute to pathological disease states (Bohmwald et al., 2024;Davis et al., 2023;Di Benedetto et al., 2017;Lord et al., 2024;Tsampasian et al., 2023). The complex interplay between the immune and neurological systems in long COVID involves a dynamic and often dysregulated interaction that can lead to prolonged symptoms affecting various body systems. ...

Accelarated immune ageing is associated with COVID-19 disease severity

Immunity & Ageing

... Accurate refinement of PCC symptomatology, determinants, and health impacts can potentially help reveal the pathophysiology of PCC and inform targeted care strategies. 15 To fill these knowledge gaps, we used comprehensive data with detailed patient-centred outcomes from participants in a large and rich prospective population-based cohort, and set out to: (1) identify the most specific symptoms (MSS) of PCC and its clinical subtypes; (2) characterize the virus-and host-related determinants of PCC; and (3) assess the impact of PCC on physical and mental health and function. ...

Long COVID research: an update from the PHOSP-COVID Scientific Summit
  • Citing Article
  • October 2023

The Lancet Respiratory Medicine

... For example, recent studies have observed a high frequency of cross-reactive B cells and a low frequency of variant specific B cells in PBMC of individuals experiencing BTI suggesting that de novo responses specific for the infecting variant are suppressed [14][15][16][17][18]. Furthermore, antigenically distant variant booster vaccinations have been shown to reactivate existing B cell responses from WT vaccination, preventing the generation of variant-specific mAbs, potentially impeding immunity to emerging variants [17,[19][20][21][22]. These observations are supported by an increase in antibody somatic hypermutation in donors experiencing BTI, implying continued affinity maturation of existing B cells [3,14,22,23]. Although these studies confirm the influence of immune imprinting from Wuhan-1-based vaccines on subsequent variant boosting or infection, further characterisation of this response is lacking in larger cohorts. ...

Broad and potent neutralizing antibodies are elicited in vaccinated individuals following Delta/BA.1 breakthrough infection

... The global impact of COVID-19 has evolved, but the virus continues to pose significant health challenges due to its potential to cause long-term multi-organ impairment. Even after recovery from the acute phase, patients may experience persistent damage to the cardiovascular system, liver, and other organs (23). This is particularly concerning for HCC patients, who often have pre-existing liver dysfunction due to cirrhosis or hepatitis virus infection. ...

Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study
  • Citing Article
  • September 2023

The Lancet Respiratory Medicine

... Respecto a la duración de problemas cognitivos en el Long COVID, los estudios hallados que lo evaluaban siguieron encontrando deterioro cognitivo en las muestras hasta 12 meses después [41,42]. Incluso uno de los estudios longitudinales más largos hasta la fecha, detectó todavía deficiencias cognitivas dos años después de la infección [43]. ...

The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study

EClinicalMedicine

... ; https://doi.org/10.1101/2024.06.20.599898 doi: bioRxiv preprint immunity, control of the translation machinery, regulation of the endocytic and secretory pathways, control of the apoptotic response and autophagy, induction ER stress and UPR, interference with the control of cell polarity and epithelial cell-cell junction integrity, lipid metabolism are the masterpieces of the host cell reprogramming by the virus, that is mediated by key viral proteins (22,(28)(29)(30)(31)(32)(33)(34)(35)(36). In addition to the expected accumulation of viral proteins over time, we also detected a time-dependent phosphorylation increase regulatory impact of which is unclear. ...

Cross-Linking Mass Spectrometry Uncovers Interactions Between High-Density Lipoproteins and the SARS-CoV-2 Spike Glycoprotein
  • Citing Article
  • June 2023

Molecular & Cellular Proteomics

... A review article [19] lists predisposing factors in nonhospitalised patients to include female gender, an age between 35 and 69 years, and two or more comorbidities. In the PHOSP-COVID hospitalised cohort [20], female gender, pre-existing mental health and cardiovascular disease were poor predictors of recovery from post-COVID-19 dyspnoea, at five to twelve months. Predictors in our post-ED cohort overlap with both of these groups, suggesting they are an intermediary group worth considering when planning services for future pandemics. ...

Determinants of recovery from post-COVID-19 dyspnoea: analysis of UK prospective cohorts of hospitalised COVID-19 patients and community-based controls

The Lancet Regional Health - Europe