Evidence map›Paper›PMID 38431537›Full record

ArticleThe protein journal2024

Computational Deciphering of the Role of S100A8 and S100A9 Proteins and Their Changes in the Structure Assembly Influences Their Interaction with TLR4, RAGE, and CD36.

Sivasakthi Paramasivam, Senthamil Selvan Perumal, Sanmuga Priya Ekambaram

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Article in The protein journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Modulation of Aging Diseases via RAGE Targets: A Dietary Intervention Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sivasakthi ParamasivamDepartment of Pharmaceutical Technology, Bharathidasan Institute of Technology Campus, University College of Engineering, Anna University, Tiruchirappalli, Tamil Nadu, 620 024, India.
Senthamil Selvan PerumalDepartment of Pharmaceutical Technology, Bharathidasan Institute of Technology Campus, University College of Engineering, Anna University, Tiruchirappalli, Tamil Nadu, 620 024, India.
Sanmuga Priya EkambaramDepartment of Pharmaceutical Technology, Bharathidasan Institute of Technology Campus, University College of Engineering, Anna University, Tiruchirappalli, Tamil Nadu, 620 024, India. sanmugapriya77@aubit.edu.in.ORCID https://orcid.org/0000-0002-9868-7749
Anna University, Chennai · IN

Funding

Indian Council of Medical Research F. No. 58/12/2020/PHA/BMS Dtd: 04/03/2022
6 · The paper itself

Abstract

S100A8 and S100A9 belong to the calcium-binding, damage associated molecular pattern (DAMP) proteins shown to aggravate the pathogenesis of rheumatoid arthritis (RA) through their interaction with the TLR4, RAGE and CD36 receptors. S100A8 and S100A9 proteins tend to exist in monomeric, homo and heterodimeric forms, which have been implicated in the pathogenesis of RA, via interacting with Pattern Recognition receptors (PRRs). The study aims to assess the influence of changes in the structure and biological assembly of S100A8 and S100A9 proteins as well as their interaction with significant receptors in RA through computational methods and surface plasmon resonance (SPR) analysis. Molecular docking analysis revealed that the S100A9 homodimer and S100A8/A9 heterodimer showed higher binding affinity towards the target receptors. Most S100 proteins showed good binding affinity towards TLR4 compared to other receptors. Based on the 50 ns MD simulations, TLR4, RAGE, and CD36 formed stable complexes with the monomeric and dimeric forms of S100A8 and S100A9 proteins. However, SPR analysis showed that the S100A8/A9 heterodimers formed stable complexes and exhibited high binding affinity towards the receptors. SPR data also indicated that TLR4 and its interactions with S100A8/A9 proteins may play a primary role in the pathogenesis of RA, with additional contributions from CD36 and RAGE interactions. Subsequent in vitro and in vivo investigations are warranted to corroborate the involvement of S100A8/A9 and the expression of TLR4, RAGE, and CD36 in the pathophysiology of RA.

Indexed as

Calgranulin ACalgranulin BCD36 AntigensMolecular Docking SimulationReceptor for Advanced Glycation End ProductsToll-Like Receptor 4Arthritis, RheumatoidHumansMolecular Dynamics SimulationProtein BindingProtein MultimerizationSurface Plasmon ResonanceAGER protein, humanCalgranulin ACalgranulin BCD36 AntigensCD36 protein, humanReceptor for Advanced Glycation End ProductsS100A8 protein, humanS100A9 protein, humanTLR4 protein, humanToll-Like Receptor 4Molecular dynamics simulationRheumatoid arthritisS100A8S100A9: S100A8/A9TLR4

Identifiers

PMID38431537
OpenAlexW4392351271

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.