Evidence map›Paper›PMID 35813322›Full record

ArticleAnnals of translational medicine2022

Identification of autophagy-related genes as potential biomarkers for type 1 diabetes mellitus.

Bin Yang, Mei-She Gan, Zhi-Yuan Lin, Zi-Fan Wang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. 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
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Role of Autophagy in Type 2 Diabetes Mellitus: The Metabolic Clash.Journal of cellular and molecular medicine · 2024
    Review
  2. Review
  3. Ginsenoside Rg1 Ameliorates Pancreatic Injuries via the AMPK/mTOR Pathway in vivo and in vitro.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    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

4 authors at 2 institutions in 1 country.

Bin Yang *Department of Endocrinology, the People's Hospital of Baise, Baise, China.
Mei-She Gan *Department of Endocrinology, the People's Hospital of Baise, Baise, China.
Zhi-Yuan LinDepartment of Endocrinology, the People's Hospital of Baise, Baise, China.
Zi-Fan WangPlastic and Cosmetic Surgery, Youjiang Medical College for Nationalities, Youjiang, China.
Baise University · CNYoujiang Medical College for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 1 diabetes mellitus (T1DM) is a metabolic disease in which the autoimmune destruction of pancreatic islet β-cells occurs. This study sought to investigate the role of autophagy-related genes and immune cells in the development of T1DM. Methods: We acquired the raw gene expression profiles of 302 T1DM and 422 normal control peripheral blood samples from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified using the Limma package, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. The Search Tool for the Retrieval of Interacting Genes/Proteins (https://string-db.org/) and Cytoscape autophagy genes were intersected with the DEGs for the immune cell analysis and the correlation analysis. Results: A total of 568 DEGs were identified in the T1DM and normal samples, of which 301 were upregulated and 267 were downregulated. The results of the functional and pathway enrichment analyses showed that the DEGs were closely associated with autophagy and immunity. Member RAS oncogene family ( Conclusions: Autophagy-related genes (i.e.,

Indexed as

autophagybioinformaticsbiomarkersimmunityType 1 diabetes (T1DM)

Identifiers

PMID35813322
PMCPMC9263783
OpenAlexW4285028250

What OpenQuestion holds

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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.