Evidence map›Paper›PMID 32934294›Full record

ArticleScientific reports2020

Elucidating potential molecular signatures through host-microbe interactions for reactive arthritis and inflammatory bowel disease using combinatorial approach.

Anukriti Verma, Shivani Sharda, Bhawna Rathi, Pallavi Somvanshi, Bimlesh Dhar Pandey

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  5. Ankylosing spondylitis coexisting withWorld journal of clinical cases · 2024
    Article
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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

5 authors at 3 institutions in 2 countries.

Anukriti VermaAmity Institute of Biotechnology, J-3 Block, Amity University Campus, Sector-125, Noida, UP, 201313, India.
Shivani ShardaAmity Institute of Biotechnology, J-3 Block, Amity University Campus, Sector-125, Noida, UP, 201313, India. ssharda@amity.edu.
Bhawna RathiAmity Institute of Biotechnology, J-3 Block, Amity University Campus, Sector-125, Noida, UP, 201313, India.
Pallavi SomvanshiDepartment of Biotechnology, TERI School of Advanced Studies, 10, Institutional Area, Vasant Kunj, New Delhi, 110070, India.ORCID http://orcid.org/0000-0003-1214-9374
Bimlesh Dhar PandeyFortis Hospital, B-22, Sector 62, Gautam Buddh Nagar, Noida, Uttar Pradesh, 201301, India.
Amity University · INFortis Hospital · INTERI University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reactive Arthritis (ReA), a rare seronegative inflammatory arthritis, lacks exquisite classification under rheumatic autoimmunity. ReA is solely established using differential clinical diagnosis of the patient cohorts, where pathogenic triggers linked to enteric and urogenital microorganisms e.g. Salmonella, Shigella, Yersinia, Campylobacter, Chlamydia have been reported. Inflammatory Bowel Disease (IBD), an idiopathic enteric disorder co-evolved and attuned to present gut microbiome dysbiosis, can be correlated to the genesis of enteropathic arthropathies like ReA. Gut microbes symbolically modulate immune system homeostasis and are elementary for varied disease patterns in autoimmune disorders. The gut-microbiota axis structured on the core host-microbe interactions execute an imperative role in discerning the etiopathogenesis of ReA and IBD. This study predicts the molecular signatures for ReA with co-evolved IBD through the enveloped host-microbe interactions and microbe-microbe 'interspecies communication', using synonymous gene expression data for selective microbes. We have utilized a combinatorial approach that have concomitant in-silico work-pipeline and experimental validation to corroborate the findings. In-silico analysis involving text mining, metabolic network reconstruction, simulation, filtering, host-microbe interaction, docking and molecular mimicry studies results in robust drug target/s and biomarker/s for co-evolved IBD and ReA. Cross validation of the target/s or biomarker/s was done by targeted gene expression analysis following a non-probabilistic convenience sampling. Studies were performed to substantiate the host-microbe disease network consisting of protein-marker-symptom/disease-pathway-drug associations resulting in possible identification of vital drug targets, biomarkers, pathways and inhibitors for IBD and ReA.Our study identified Na

Indexed as

Gastrointestinal MicrobiomeHost Microbial InteractionsAdultArthritis, ReactiveBacterial ProteinsBiomarkersDysbiosisFemaleHumansInflammatory Bowel DiseasesMaleMetabolic Networks and PathwaysMiddle AgedProhibitinsProtein Interaction MapsBacterial ProteinsBiomarkersPHB2 protein, humanProhibitins

Identifiers

PMID32934294
PMCPMC7492238
OpenAlexW3087761573

What Socratic holds

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LicenceCC BY
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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 Socratic graph.