Independent education resourceInformation here does not replace care from a qualified health professional.
Peptide Therapy GuideClear peptide education

Educational guide

SARS-CoV-2 fragments found to mimic immune system peptides, fueling inflammation

In a recent study published in the journal Proceedings of the National Academy of Sciences, researchers analyzed the inflammatory capacity of fragmented components of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The intensive research during t

Written by Peptide Therapy Guide Editorial Team
For education only

This guide cannot diagnose a condition or recommend a personal treatment plan. Discuss medical questions with a qualified professional.

In a recent study published in the journal Proceedings of the National Academy of Sciences, researchers analyzed the inflammatory capacity of fragmented components of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

The intensive research during the coronavirus disease 2019 (COVID-19) pandemic has helped understand SARS-CoV-2 infection. Nevertheless, what makes the virus capable of causing a dangerous inflammatory response remains unclear. Research has suggested that amphiphilic, cationic peptides from the innate immune system undergo amyloid-like assembly with anionic nucleic acids and form proinflammatory complexes.

The study and findings

The present study investigated whether fragmented SARS-CoV-2 peptides assemble with anionic double-stranded RNA (dsRNA) into supramolecular complexes. The viral proteome was considered a reservoir of peptide fragments liberating after the proteolytic destruction of virions. The researchers leveraged a support vector machine (SVM) classifier to recognize antimicrobial peptide (AMP)-like sequences (xenoAMPs) in the SARS-CoV-2 proteome.

Viral protein sequences were scanned via a moving window of 24–34 amino acids to identify potential xenoAMPs and test whether they behave like AMPs if cleaved at different positions. Sequences were selected based on the output provided by the classifier as a sigma (σ) score, wherein a strongly positive score implied the sequence was highly likely to be an AMP.

Existence of exogenous mimics of pro-inflammatory host antimicrobial peptides (xenoAMPs) in SARS-CoV-2 proteins. (A) SARS-CoV-2 proteins are scanned with a machine-learning AMP classifier. Each queried sequence is given a σ score that measures its AMP-ness. Three representative high-scoring sequences are studied: xenoAMP(ORF1ab), xenoAMP(S), and xenoAMP(M). The grey bars mark the location where the corresponding sequences are selected. (B) SARS-CoV-2 sequences are aligned and compared to their homologs in a common cold human coronavirus HCoV-OC43: Control (ORF1ab), Control(S), and Control(M). Asterisks, colons, and periods indicate positions that have fully conserved residues, those that have strongly similar properties, and those that have weakly similar properties, respectively. Color is assigned to each residue using the ClustalX scheme. (C) σ score heatmaps compare the distribution of high-scoring sequences in three proteins from SARS-CoV-2 and HCoV-OC43. The first amino acid in each sequence is colored according to its average σ score; regions with negative average σ scores (non-AMPs) are colored white. “Hot spot” clusters of high-scoring sequences for SARS-CoV-2 (bright yellow regions bracketed in red boxes) have systematically higher scores and span wider regions of sequence space compared to HCoV-OC43. This trend suggests that hot spots in SARS-CoV-2 can generate higher scoring sequences for a greater diversity of enzymatic cleavage sites than those in HCoV-OC43.

Further, the team selected specific sequences from this population of (high-scoring) sequences with a high cationic charge. Specifically, they focused on prototypical candidates from the membrane (M) protein, spike (S) protein, and open reading frame 1ab (ORF1ab) polyprotein. In silico analyses showed that these xenoAMPs could be generated during proteasomal degradation, with matrix metalloproteinase 9 (MMP9) and neutrophil elastase (NE) capable of generating them.

Next, the team compared SARS-CoV-2 xenoAMPs with homologous sequences from SARS-CoV-1 and non-pandemic human CoVs. This showed that sequences were partially conserved. A comparison of σ score heat maps of ORF1ab, S, and M proteins between SARS-CoV-2 and HCoV-OC43 revealed that high-scoring sequences were clustered into hotspots, with SARS-CoV-2 hotspots having higher scores and spanning wider regions than those of HCoV-OC43.

Further, mass spectrometry was performed on tracheal aspirate samples from patients with severe COVID-19. The team detected fragments of host AMP, cathelicidin LL-37, in 20 samples (out of 29). By contrast, 28 samples contained viral peptide fragments, some of which had sufficiently high σ scores to qualify as xenoAMPs.

The three xenoAMPs, xenoAMP(S), xenoAMP(M), and xenoAMP(ORF1ab), were experimentally observed to chaperone and assemble with dsRNA into complexes similar to LL-37. Polyinosine: polycytidylic acid (Poly(I:C) was used as a synthetic analog to mimic the viral dsRNA generated during replication. The structures of xenoAMPs-poly(I:C) complexes were cognate to host AMPs-dsRNA complexes.

Next, the team investigated the robustness of these self-assembled proinflammatory complexes under non-optimal conditions. They found that the nanocrystalline structures were preserved when participating xenoAMPs were shortened. Besides, SARS-CoV-2 xenoAMPs were found to co-crystallize with LL-37, suggesting that host AMPs and xenoAMPs could synergistically activate inflammatory responses.

The immune activation capacity of xenoAMPs from SARS-CoV-2 was compared with that of homolog peptides from HCoV-OC43 using human monocytes. XenoAMP-poly(I:C)-treated monocytes released 1.7-fold more interleukin (IL)-8 than poly(I:C) treated controls. By contrast, complexes formed with homologous peptides from HCoV-OC43 induced much lower IL-8 levels.

In addition, xenoAMP-poly(I:C) stimulation of primary human dermal microvascular endothelial cells (HDMVECs) triggered robust production of IL-6, which was not observed with complexes formed from HCoV-OC43 peptides. Notably, xenoAMP-poly(I:C)-treated HDMVECs showed significant upregulation of several proinflammatory chemokine and cytokine genes.

Finally, the researchers measured the immune activation capacity in mice. C57BL/6 mice unexposed to infection were treated with xenoAMP(ORF1ab)-poly(I:C) complexes or poly(I:C)-alone (control). XenoAMP(ORF1ab)-poly(I:C) treatment increased plasma levels of IL-6 and C-X-C motif chemokine ligand 1 (CXCL1) by 1.6 and 2.2 times, respectively, compared to poly(I:C)-alone. Moreover, IL-6 and CXCL1 levels increased 1.2 times in the lung compared to the control treatment.

Conclusions

In sum, the study has illustrated an unexpected mechanism of inflammation propagating through uninfected cells in COVID-19, wherein viral fragments mimic AMPs like LL-37. This could be salient to understand why the host immune system in COVID-19 resembles that of individuals with autoimmune conditions like rheumatoid arthritis and lupus.

The researchers found that host proteases could generate xenoAMPs, suggesting that protease inhibitors suppressing xenoAMP generation could have a clinical impact on viral-induced inflammation. The proteolytic degradation of SARS-CoV-2 could differ across host individuals, possibly explaining the heterogeneity of infection outcomes, e.g., asymptomatic and fatal.

  • Zhang Y, Bharathi V, Dokoshi T, et al. Viral afterlife: SARS-CoV-2 as a reservoir of immunomimetic peptides that reassemble into proinflammatory supramolecular complexes. Proc Natl Acad Sci USA, 2024, DOI: 10.1073/pnas.2300644120, https://www.pnas.org/doi/10.1073/pnas.2300644120

Connected reading

Helpful context for this guide

Source-derived material selected through this article’s indexed topics.

Related questions

01How much protein is too much?

The idea of an upper limit of protein intake is controversial. Some experts believe the recommended amounts are too low. Others believe we are overconsuming protein. In general, the average person (not a body builder or an elite athlete) does not need high levels of protein and should not exceed 2 grams per kilogram; or about 125 grams per day for a 140-pound person. A main concern with taking in too much protein is an overall dietary imbalance. Consuming excessive protein may lead to inadequate intake of carbohydrates and fats. It's important to maintain a well-rounded diet that includes a balance of all three macronutrients for overall health. In addition, if you increase your protein intake without increasing physical activity, you may be taking in too many calories without expending enough, which could result in weight gain. There is also some evidence that eating a relatively high-protein diet can be problematic for individuals with pre-existing kidney conditions. A diet high in animal protein may pose a higher risk of kidney stones.

Source: www.health.harvard.edu ↗
02Why measuring CAR expression is important?

The CAR positive rate is a critical metric for evaluating CAR-T product potency, directly influencing target recognition and cytotoxic efficacy. Monitoring CAR expression in peripheral blood or tissues post-infusion provides insights into in vivo expansion and persistence, informing treatment response, durability, and potential relapse risk. Dynamic CAR expression monitoring also helps assess immunogenicity and safety. Thus, a sensitive, reliable, and universal CAR detection system is vital for developing and evaluating CAR-T cell therapies. Currently, approved CAR-T products target CD19 or BCMA, making flow cytometry with recombinant BCMA or CD19 protein the standard detection method. Although highly specific, this approach is limited to single targets and is unsuitable for CAR-T screening and preclinical development. Several CAR detection methods have been developed, including Protein L (which binds immunoglobulins) or Fc-binding polyclonal antibodies. Protein L binds only to kappa light chains and fails to detect CARs containing lambda chains. Polyclonal antibodies may cross-react with patient IgG, causing false positives. Anti-idiotype antibodies offer high specificity and sensitivity by targeting unique idiotopes in the CAR's antigen-binding region, but they are challenging to develop and produce.

Source: www.news-medical.net ↗
03Why is this important?

The study by Williams was looking for variations in hemoglobin, the oxygen-binding protein found in red blood cells. There are disorders which lead to abnormalities in hemoglobin, which can cause serious illness or even death. Identifying these variants would lead to a better prognosis for people with such abnormalities, and the study found a variant by having the ability to differentiate between leucine and isoleucine. Methylmalonic acidemia (MMA) and propionic acidemia (PA) are metabolic disorders resulting from an inability to break down isoleucine, valine, methionine, and threonine (which are also amino acids), odd-chain fatty acids, as well as cholesterol. These are rare diseases which are known as “inborn errors of metabolism” (IEM). The restriction of certain foods and the use of medical foods can form part of the treatment for IEM disorders. Leucine is added to a lot of these medical foods, and is hence selected for patients with MMA and PA. As patients with MMA and PA cannot break down isoleucine and valine, foods containing these amino acids should be avoided. However, it was previously reported that avoiding such amino acids can lead to an imbalance in the amounts of branched chain amino acids in the blood. More specifically, the ratio of leucine to isoleucine/valine was found to be increased. This could have dire consequences, potentially disrupting the synthesis of neurotransmitters due to impaired amino acid transport into the brain. In this case, it would be pivotal to distinguish between leucine and isoleucine, as the balance between these two amino acids needs to be restored to avoid potential damage.

Source: www.news-medical.net ↗
04Where do Lipids Come From?

Excess carbohydrates in the diet are converted into triglycerides, which involves the synthesis of fatty acids from acetyl-CoA in a process known as lipogenesis, and takes place in the endoplasmic reticulum. In animals and fungi, a single multi-functional protein handles most of these processes, while bacteria utilize multiple separate enzymes. Some types of unsaturated fatty acids cannot be synthesized in mammalian cells, and so must be consumed as part of the diet, such as omega-3. Acetyl-CoA is also involved in the mevalonate pathway, responsible for producing a wide range of isoprenoids, which include important lipids such as cholesterol and steroid hormones.

Source: www.news-medical.net ↗
05What is the concept of the immune self, and how has it evolved over the decades?

Adaptive immunity is the ability of specific lymphocytes to differentiate between self and non-self (foreign) antigens and defend the body by selectively destroying non-self-peptides. This concept is possibly the most crucial factor in several immunological medical domains and is increasingly being explored across cancer immunotherapy, vaccine design, pathogen identification, and autoimmune disorders (including allergies). A growing body of literature elucidates the importance of peptides, short amino acid chains linked via peptide bonds, in providing the adaptive immune system with the information required to effectively distinguish between self and non-self particles. This has resulted in the proposal of the ‘immune self’ concept, which postulates that self-similarity is a fundamental determinant of immune recognition. First introduced by Frank MacFarlane Burnet in 1949, the immune self-concept and its sister, the self-nonself theory, have substantially evolved over the decades. Initially driven by observations from Medawar’s early transplantation experiments, Nils K. Jerne (1974; eigen-behavior theory), Polly Matzinger (1994; danger theory), and most recently, evidence from research conducted independently by Waldmann, Mitchison, and Janeway has refined the immune self-concept from ‘all body elements are self, and foreign elements are non-self’ to the most recent ‘infectious non-self (foreign and usually harmful) versus noninfectious self (safe) elements.’

Source: www.news-medical.net ↗
comparison

Comparisons

Side-by-side pages for commonly compared peptides and research compounds.

Source: peptideuniv.com
Research context

Read sources and limitations before applying a claim.

Longevity, Performance & Obesity Research

A research peptide formulation developed to investigate metabolic regulation, mitochondrial function, and nutrient-sensing pathways.

Source: mypeptidematch.com ↗
P

About the author

Peptide Therapy Guide Editorial Team

Editorial team for Peptide Therapy Guide.

View all articles →