Evidence map›Paper›PMID 38670967›Full record

ArticleCell death discovery2024

LINC317.5 as a novel biomarker for hypertriglyceridemia in normal glucose metabolism.

Yixue Yang, Mengzi Sun, Shoumeng Yan, Nan Yao, Xiaotong Li, Caihong Wu, Zibo Wu, Fengdan Wang, Weiwei Cui, Bo Li

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Yixue Yang *Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, P. R. China.ORCID http://orcid.org/0009-0005-9985-2186
Mengzi Sun *Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, P. R. China.
Shoumeng YanSchool of Nursing, Jilin University, Changchun, 130021, P. R. China.
Nan YaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, P. R. China.
Xiaotong LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, P. R. China.
Caihong WuDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, P. R. China.
Zibo WuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, P. R. China.
Fengdan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, P. R. China.
Weiwei CuiDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, 130021, P. R. China. cuiweiwei@jlu.edu.cn.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, P. R. China. li_bo@jlu.edu.cn.ORCID http://orcid.org/0000-0003-1455-9596
Jilin University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81973129
6 · The paper itself

Abstract

The global rise in prediabetes and diabetes, with type 2 diabetes (T2DM) being predominant, highlights the association between T2DM and hypertriglyceridemia (HTG). Patients with both abnormal glucose levels and HTG require increased attention due to higher risks of complications and mortality. Therefore, this study aimed to find the key long non-coding RNA (lncRNA) of HTG in the abnormal glucose metabolism patients. We collected blood samples for RNA sequencing experiments and blood samples for validation in population. We have conducted RNA sequencing, weighted gene co-expression network analysis (WGCNA), quantitative real-time polymerase chain reaction (qRT-PCR) in a 82-vs-82-sample-size population and insulin induced HepG2, RNA- Fluorescence in situ hybridization (FISH) and Cell Counting Kit-8 (CCK-8). We also explored lipid metabolism related transcription factor and the related protein expression and processed key lncRNA by both interference expression and overexpression, and the related consequences were rescued by its target mRNA. ENST00000540317.5 (LINC317.5) was lower in HTG with abnormal glucose metabolism and was found in both cytoplasm and nucleus in HepG2, inversely regulating the accumulation of TG and its target mRNA TKFC. Relative expression of peroxisome proliferator-activated receptor alpha (PPARα) and peroxisome proliferator-activated receptor gamma (PPARγ) were decreasing, and SREBP-1c (sterol regulatory element-binding protein-1c) was increasing of the interference expression of LINC317.5. Interference expression of LINC317.5 significantly decreased the protein expression of ACADM and CPT1A, whereas increased the protein expression of FAS and ACC1. TKFC partly reduced the triglyceride (TG) accumulation of LINC317.5. In conclusion, we suggested LINC317.5-TKFC as a key for TG accumulation in the HepG2-insulin resistant (IR). These might provide information of non-invasive biomarkers for the HTG with abnormal glucose.

Identifiers

PMID38670967
PMCPMC11053116
OpenAlexW4395669188

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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.