Evidence map›Paper›PMID 40335508›Full record

ArticleNPJ systems biology and applications2025

An in silico approach deciphering the commensal dynamics in the cutaneous milieu.

Sumathi Kalankariyan, Anjana Thottapillil, Abha Saxena, Manoj Srivatsn S, Vinitha Kadamkode, Renu Kapoor, Rupak Mitra, Janhavi Raut, K V Venkatesh

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Beneficial perspective onFrontiers in immunology · 2025
    Review
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

9 authors.

Sumathi KalankariyanMetFlux Research Private Limited, Bengaluru, India.
Anjana ThottapillilMetFlux Research Private Limited, Bengaluru, India.
Abha SaxenaMetFlux Research Private Limited, Bengaluru, India.
Manoj Srivatsn SMetFlux Research Private Limited, Bengaluru, India.
Vinitha KadamkodeUnilever R & D, Bangalore, India.
Renu KapoorUnilever R & D, Bangalore, India.
Rupak MitraUnilever R & D, Bangalore, India.
Janhavi RautUnilever R & D, Bangalore, India.
K V VenkateshMetFlux Research Private Limited, Bengaluru, India. venks@metflux.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skin microbiota, particularly coagulase-negative staphylococci (CoNS) such as S. epidermidis, plays a crucial role in maintaining skin health and immunity. S. epidermidis, a predominant commensal species, interacts intimately with keratinocytes to regulate immune responses and antimicrobial defence mechanisms. Metabolic byproducts like short-chain fatty acids (SCFAs) influence keratinocyte activation, while cell wall components engage Toll-like receptors (TLRs) to modulate inflammation. These interactions are fundamental for preserving skin homeostasis and combating pathogenic invaders. Our comprehensive mathematical model, integrating commensal dynamics, immune responses, and skin microenvironment variables, provides insights into these intricate interactions. The model delves into the complexities of skin scenarios and perturbations, aiming to understand the colonization dynamics of S. epidermidis and its influence on skin barrier functions. It examines how disruptions in key factors such as AMP, growth factor-mediated repair pathways, and filaggrin mutations influence the behaviour of the system. The study depicts the skin microenvironment as a highly dynamic one, highlighting the critical role of S. epidermidis and capturing its role in barrier dysfunction caused by internal and external factors. By offering insights into skin barrier function and immune responses, the model illuminates key interactions of commensals within the skin microenvironment which can ultimately benefit skin health.

Indexed as

SkinStaphylococcus epidermidisSymbiosisComputer SimulationFilaggrin ProteinsHumansKeratinocytesMicrobiotaModels, BiologicalFilaggrin ProteinsFLG protein, human

Identifiers

PMID40335508
PMCPMC12058978

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.