Evidence map›Paper›PMID 36967768›Full record

ArticleFrontiers in endocrinology2023

Exploration of the core gene signatures and mechanisms between NAFLD and sarcopenia through transcriptomic level.

Ziying Xu, Zihui Yu, Shang Li, Ziyan Tian, Jing Yuan, Fuping You

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Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Ziying XuSchool of Basic Medical Sciences, Peking University, Beijing, China.
Zihui YuDepartment of Bacteriology, Capital Institute of Pediatrics, Beijing, China.
Shang LiDepartment of Orthopedics, General Hospital of Chinese People's Liberation Army of China (PLA), Beijing, China.
Ziyan TianDepartment of Bacteriology, Capital Institute of Pediatrics, Beijing, China.
Jing YuanSchool of Basic Medical Sciences, Peking University, Beijing, China.
Fuping YouSchool of Basic Medical Sciences, Peking University, Beijing, China.
Capital Institute of Pediatrics · CNChinese People's Liberation Army · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The increased prevalence of non-alcoholic fatty liver disease (NAFLD) and sarcopenia among the elderly are facing a significant challenge to the world's health systems. Our study aims to identify the coexpressed genes in NAFLD and sarcopenia patients. Methods: We downloaded the transcriptome data of NAFLD tissue from patients, as well as muscle tissues from sarcopenia patients, from the GEO database in order to investigate the shared transcriptional regulation mechanisms between these two diseases. Then, focusing on the genes that were frequently expressed in these diseases, together with GSVA and WGCNA, we utilized a range of analysis methods to identify the main co-expressed genes in both diseases by taking intersections. We investigated these changes after learning that they mostly affected lipid metabolism and oxidative stress injury pathways. Results: By analyzing these genes and their interactions with transcription factors and proteins, we were able to identify 8 genes that share common patterns. From these 8 genes, we were possible to forecast potential future medicines. Our research raises the possibility of NAFLD and sarcopenia transcriptome regulatory pathways in aging populations. Discussion: In conclusion, a complete transcription pattern mapping was carried out in order to identify the core genes, underlying biological mechanisms, and possible therapeutic targets that regulate aging in NAFLD and sarcopenia patients. It provides novel insights and proof in favor of decreasing the increased prevalence of sarcopenia in the elderly caused by NAFLD.

Indexed as

Non-alcoholic Fatty Liver DiseaseSarcopeniaAgedAgingGene Expression ProfilingHumansTranscriptomebioinformatics analysesco-expressed geneshigh throughput sequencingNAFLD (non-alcoholic fatty liver disease)sarcopenia

Identifiers

PMID36967768
PMCPMC10033966
OpenAlexW4323666438

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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.