CRESSP: a comprehensive pipeline for prediction of immunopathogenic SARS-CoV-2 epitopes using structural properties of proteins

NETosis: A key player in autoimmunity, COVID-19, and long COVID

NETosis, the process through which neutrophils release neutrophil extracellular traps (NETs), has emerged as a crucial mechanism in host defense and the pathogenesis of autoimmune responses. During the SARS-CoV-2 pandemic, this process received significant attention due to the central role of neutrophil recruitment and activation in infection control. However, elevated neutrophil levels and dysregulated NET formation have been linked to coagulopathy and endothelial damage, correlating with disease severity and poor prognosis in COVID-19. Moreover, it is known that SARS-CoV-2 can induce persistent low-grade systemic inflammation, known as long COVID, although the underlying causes remain unclear. It has been increasingly acknowledged that excessive NETosis and NET generation contribute to further pathophysiological abnormalities following SARS-CoV-2 infection. This review provides an updated overview of the role of NETosis in autoimmune diseases, but also the relationship between COVID-19 and long COVID with autoimmunity (e.g., latent and overt autoimmunity, molecular mimicry, epitope spreading) and NETosis (e.g., immune responses, NET markers). Finally, we discuss potential therapeutic strategies targeting dysregulated NETosis to mitigate the severe complications of COVID-19 and long COVID.

MMPred: a tool to predict peptide mimicry events in MHC class II recognition

We present MMPred, a software tool that integrates epitope prediction and sequence alignment algorithms to streamline the computational analysis of molecular mimicry events in autoimmune diseases. Starting with two protein or peptide sets (e.g., from human and SARS-CoV-2), MMPred facilitates the generation, investigation, and testing of mimicry hypotheses by providing epitope predictions specifically for MHC class II alleles, which are frequently implicated in autoimmunity. However, the tool is easily extendable to MHC class I predictions by incorporating pre-trained models from CNN-PepPred and NetMHCpan. To evaluate MMPred's ability to produce biologically meaningful insights, we conducted a comprehensive assessment involving i) predicting associations between known HLA class II human autoepitopes and microbial-peptide mimicry, ii) interpreting these predictions within a systems biology framework to identify potential functional links between the predicted autoantigens and pathophysiological pathways related to autoimmune diseases, and iii) analyzing illustrative cases in the context of SARS-CoV-2 infection and autoimmunity. MMPred code and user guide are made freely available at https://github.com/ComputBiol-IBB/MMPRED.

Evidence for Molecular Mimicry between SARS-CoV-2 and Human Antigens: Implications for Autoimmunity in COVID-19

As for other viral diseases, the mechanisms behind the apparent relationship between COVID-19 and autoimmunity are yet to be clearly defined. Molecular mimicry, the existence of sequence and/or conformational homology between viral and human antigens, could be an important contributing factor. Here, we review the accumulated evidence supporting the occurrence of mimicry between SARS-CoV-2 and human proteins. Both bioinformatic approaches and antibody cross-reactions have yielded a significant magnitude of mimicry events, far more common than expected to happen by chance. The clinical implication of this phenomenon is ample since many of the identified antigens may participate in COVID-19 pathophysiology or are targets of autoimmune diseases. Thus, autoimmunity related to COVID-19 may be partially explained by molecular mimicry and further research designed specifically to address this possibility is needed.

Mild Primary or Breakthrough SARS-CoV-2 Infection Promotes Autoantibody Production in Individuals with and without Neuro-PASC

Patients with long COVID can develop humoral autoimmunity after severe acute SARS-CoV-2 infection. However, whether similar increases in autoantibody responses occur after mild infection and whether vaccination prior to SARS-CoV-2 breakthrough infection can limit autoantibody responses is unknown. In this study, we demonstrate that mild SARS-CoV-2 infection increases autoantibodies associated with rheumatic autoimmune diseases and diabetes in most individuals, regardless of vaccination status prior to infection. However, patients with long COVID and persistent neurologic and fatigue symptoms (neuro-PASC) have substantially higher autoantibody responses than convalescent control subjects at an average of 8 mo postinfection. Furthermore, high titers of systemic lupus erythematosus- and CNS-associated autoantibodies in patients with neuro-PASC are associated with impaired cognitive performance and greater symptom severity. In summary, we found that mild SARS-CoV-2 primary and breakthrough infections can induce persistent humoral autoimmunity in both patients with neuro-PASC and healthy COVID convalescents, suggesting that a reappraisal of mitigation strategies against SARS-CoV-2 is warranted to prevent transmission and potential development of autoimmunity.

Applying the digital data and the bioinformatics tools in SARS-CoV-2 research

Bioinformatics has been playing a crucial role in the scientific progress to fight against the pandemic of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The advances in novel algorithms, mega data technology, artificial intelligence and deep learning assisted the development of novel bioinformatics tools to analyze daily increasing SARS-CoV-2 data in the past years. These tools were applied in genomic analyses, evolutionary tracking, epidemiological analyses, protein structure interpretation, studies in virus-host interaction and clinical performance. To promote the in-silico analysis in the future, we conducted a review which summarized the databases, web services and software applied in SARS-CoV-2 research. Those digital resources applied in SARS-CoV-2 research may also potentially contribute to the research in other coronavirus and non-coronavirus viruses.

Immune landscape and redox imbalance during neurological disorders in COVID-19

The outbreak of Coronavirus Disease 2019 (COVID-19) has prompted the scientific community to explore potential treatments or vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes the illness. While SARS-CoV-2 is mostly considered a respiratory pathogen, several neurological complications have been reported, raising questions about how it may enter the Central Nervous System (CNS). Receptors such as ACE2, CD147, TMPRSS2, and NRP1 have been identified in brain cells and may be involved in facilitating SARS-CoV-2 entry into the CNS. Moreover, proteins like P2X7 and Panx-1 may contribute to the pathogenesis of COVID-19. Additionally, the role of the immune system in the gravity of COVID-19 has been investigated with respect to both innate and adaptive immune responses caused by SARS-CoV-2 infection, which can lead to a cytokine storm, tissue damage, and neurological manifestations. A redox imbalance has also been linked to the pathogenesis of COVID-19, potentially causing mitochondrial dysfunction, and generating proinflammatory cytokines. This review summarizes different mechanisms of reactive oxygen species and neuro-inflammation that may contribute to the development of severe COVID-19, and recent progress in the study of immunological events and redox imbalance in neurological complications of COVID-19, and the role of bioinformatics in the study of neurological implications of COVID-19.

Molecular mimicry and autoimmunity in the time of COVID-19

Infectious diseases are commonly implicated as potential initiators of autoimmune diseases (ADs) and represent the most commonly known factor in the development of autoimmunity in susceptible individuals. Epidemiological data and animal studies on multiple ADs suggest that molecular mimicry is one of the likely mechanisms for the loss of peripheral tolerance and the development of clinical disease. Besides molecular mimicry, other mechanisms such as defects in central tolerance, nonspecific bystander activation, epitope-determinant spreading, and/or constant antigenic stimuli, may also contribute for breach of tolerance and to the development of ADs. Linear peptide homology is not the only mechanism by which molecular mimicry is established. Peptide modeling (i.e., 3D structure), molecular docking analyses, and affinity estimation for HLAs are emerging as critical strategies when studying the links of molecular mimicry in the development of autoimmunity. In the current pandemic, several reports have confirmed an influence of SARS-CoV-2 on subsequent autoimmunity. Bioinformatic and experimental evidence support the potential role of molecular mimicry. Peptide dimensional analysis requires more research and will be increasingly important for designing and distributing vaccines and better understanding the role of environmental factors related to autoimmunity.

Mechanisms of autoimmune pathology in post-COVID syndrome

   One of the delayed consequences of SARS-CoV-2 infection is post-acute COVID-19 – polymorphic disorders of various organ systems that affect COVID-19 convalescents and persist for more than four weeks after an acute infection. Due to the infectious nature of the COVID-19, we would like to pay special attention to complications from the immune system, especially concomitant and new-onset autoimmune pathology. This review analyzes the current state of the issue of post-acute COVID-19 complications, discusses the molecular features of the SARS-CoV-2 virus and the mechanisms underlying the impaired immune response during acute COVID-19 infection and the occurrence of autoimmune and autoinflammatory conditions during convalescence. Particular attention is paid to the molecular mimicry of antigenic determinants of the SARS-CoV-2 virus, which are structurally similar to the epitopes of human autoantigens. The current data on post-acute COVID-19 autoimmune complications from humoral immunity and the endocrine system, as well as reproductive disorders faced by male patients are presented. For the first time, we hypothesize a role of the structural homology of the human SOX13 autoantigen (HMG box factor SOX13) associated with diabetes mellitus and SARS-CoV-2 envelope (E) protein in the development of the post-acute COVID-19 autoimmune pathologies. Due to the structural similarity of the two proteins and the overlap of their immunogenic regions, we suggest that the increased risk of developing diabetes mellitus and reproductive disorders in men after suffering from COVID-19 may be associated with immunological cross-reactivity.

Shared 6mer Peptides of Human and Omicron (21K and 21L) at SARS-CoV-2 Mutation Sites

We investigated the short sequences involving Omicron 21K and Omicron 21L variants to reveal any possible molecular mimicry-associated autoimmunity risks and changes in those. We first identified common 6mers of the viral and human protein sequences present for both the mutant (Omicron) and nonmutant (SARS-CoV-2) versions of the same viral sequence and then predicted the binding affinities of those sequences to the HLA supertype representatives. We evaluated change in the potential autoimmunity risk, through comparative assessment of the nonmutant and mutant viral sequences and their similar human peptides with common 6mers and affinities to the same HLA allele. This change is the lost and the new, or de novo, autoimmunity risk, associated with the mutations in the Omicron 21K and Omicron 21L variants. Accordingly, e.g., the affinity of virus-similar sequences of the Ig heavy chain junction regions shifted from the HLA-B*15:01 to the HLA-A*01:01 allele at the mutant sequences. Additionally, peptides of different human proteins sharing 6mers with SARS-CoV-2 proteins at the mutation sites of interest and with affinities to the HLA-B*07:02 allele, such as the respective SARS-CoV-2 sequences, were lost. Among all, any possible molecular mimicry-associated novel risk appeared to be prominent in HLA-A*24:02 and HLA-B*27:05 serotypes upon infection with Omicron 21L. Associated disease, pathway, and tissue expression data supported possible new risks for the HLA-B*27:05 and HLA-A*01:01 serotypes, while the risks for the HLA-B*07:02 serotypes could have been lost or diminished, and those for the HLA-A*03:01 serotypes could have been retained, for the individuals infected with Omicron variants under study. These are likely to affect the complications related to cross-reactions influencing the relevant HLA serotypes upon infection with Omicron 21K and Omicron 21L.

NMR study of human macroPARPs domains: 1H, 15N and 13C resonance assignment of hPARP14 macro domain 2 in the free and the ADPr bound state

hPARP14 is a human ADP-ribosyl-transferase (ART) that belongs to the macroPARPs family, together with hPARP9 and hPARP15. It contains a tandem of three macro domains (MD) while each of them has different properties. The first one, namely MD1, has not been reported to exhibit a high binding affinity for ADP-ribose (ADPr) in contrast to the following two (MD2 and MD3). All three MDs exhibit an α/β/α sandwich-like fold as reported by the deposited crystallographic structures. MD2 and MD3 recognize mono-ADP-ribosylated (MARylated) but not poly-ADP-ribosylated (PARylated) substrates and thus they allow hPARP14 to bind its targets, which can be potentially MARylated by its catalytic domain (CD). hPARP14 participates in DNA damage repair process and immune response against viruses like SARS-CoV-2, which also harbors an MD fold. Furthermore, hPARP14 like the other two macroPARPs (hPARP9 and hPARP15), is implicated in numerous types of cancer, such as B-aggressive lymphoma and sarcoma, rendering its MDs as potential important drug targets. Herein, we report the complete NMR backbone and side chain assignment (¹H, ¹³C, ¹⁵N) of hPARP14 MD2 in the free and ADPr bound states and the NMR chemical shift-based prediction of its secondary structure elements. This is the first reported NMR study of a hPARP macro domain, paving the way to screen by NMR chemical compounds which may alter the ability of hPARP14 to interact with its substrates affecting its function.