Evidence map›Paper›PMID 39484658›Full record

ArticleJournal of bioinformatics and systems biology : Open access2024

Deciphering Collagen Phenotype Dynamics Regulators: Insights from In-Silico Analysis.

Resmi Rajalekshmi, Vikrant Rai, Devendra K Agrawal

Abstract read
In one paragraph

Article in Journal of bioinformatics and systems biology : Open access, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Resmi RajalekshmiDepartment of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, California 91766 USA.
Vikrant RaiDepartment of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, California 91766 USA.
Devendra K AgrawalDepartment of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, California 91766 USA.

Funding

Novel Approach to Stabilize Atherosclerotic Plaque in Carotid ArteryR01HL144125 · NHLBI · WESTERN UNIVERSITY OF HEALTH SCIENCES · PI AGRAWAL, DEVENDRA K. · 2018 to 2021
$2.8M
Novel Molecular Target to Prevent Maturation Failure of Arteriovenous FistulaR01HL147662 · NHLBI · WESTERN UNIVERSITY OF HEALTH SCIENCES · PI AGRAWAL, DEVENDRA K. · 2019 to 2022
$2.8M
NHLBI NIH HHS R01 HL144125NHLBI NIH HHS R01 HL147662
6 · The paper itself

Abstract

Collagen (Col) types I and III are integral components in wound healing and tissue regeneration, influencing tissue development, homeostasis, and related pathologies. Col I and Col III expression changes during different stages of wound healing and understanding the regulation of collagen phenotype determination is crucial for unraveling the complexities of these processes. Transcription factors and microRNAs, directly and indirectly, play a critical role in regulating collagen expression, however, a comprehensive understanding of the factors regulating Col I and III phenotypes remains elusive. This critically analyzed published reports with focuses on various factors regulating the expression of Col I and Col III at the transcriptional and translational levels. We performed bioinformatics analysis with an input of proinflammatory mediators, growth factors, elastases, and matrix metalloproteinases and predicted transcription factors and microRNAs involved in the regulation of collagen expression. Network analysis revealed an interaction between genes, transcription factors, and microRNAs and provided a holistic view of the regulatory landscape governing collagen expression and unveils intricate interconnections. This analysis lays a founda-tional framework for guiding future research and therapeutic interventions to promote extracellular matrix remodeling, wound healing, and tissue regeneration after an injury by modulating collagen expression. In essence, this scientific groundwork offers a comprehensive exploration of the regulatory dynamics in collagen synthesis, serving as a valuable resource for advancing both basic research and clinical interventions in tissue repair.

Indexed as

BioinformaticsCollagen ICollagen IIImicroRNATissue regenerationTissue repairTranscription factorsWound healing

Identifiers

PMID39484658
PMCPMC11526781

What Socratic holds

Textmetadata
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Registered trials

None linked

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.