Evidence map›Paper›PMID 35941691›Full record

ArticleDiabetology & metabolic syndrome2022

Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue.

Bohan Lv, Xiuyan Yang, Tian An, Yanxiang Wu, Zhongchen He, Bowu Li, Yijiao Wang, Fang Tan, Tingye Wang, Jiajian Zhu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

13 authors at 2 institutions in 1 country.

Bohan Lv *Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China.
Xiuyan Yang *Traditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China.
Tian AnTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China.
Yanxiang WuTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China.
Zhongchen HeDepartment of Endocrinology, Beijing He Ping li Hospital, Beijing, China.
Bowu LiDepartment of Endocrinology, Beijing He Ping li Hospital, Beijing, China.
Yijiao WangDepartment of Endocrinology, Beijing He Ping li Hospital, Beijing, China.
Fang TanDepartment of Endocrinology, Beijing He Ping li Hospital, Beijing, China.
Tingye WangTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China.
Jiajian ZhuTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China.
Yuanyuan HuTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China.
Xiaokun LiuDepartment of Cardiology, Gongren Hospital of Tangshan City, Tangshan, China. lxiaokun@sohu.com.
Guangjian JiangTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing, China. bucmjiang@163.com.
Beijing University of Chinese Medicine · CNTangshan Gongren Hospital · CN

Funding

National Natural Science Foundation of China NSFC81774171
6 · The paper itself

Abstract

backgroundThe principal objective of this study was to gain a better understanding of the mechanisms of type 2 diabetes mellitus (T2DM) patients with fatigue (D-T2DM) through exome and transcriptome sequencing.

methodsAfter whole-exome sequencing on peripheral blood of 6 D-T2DM patients, the consensus mutations were screen out and analyzed by a series of bioinformatics analyses. Then, we combined whole-exome sequencing and transcriptome sequencing results to find the important genes that changed at both the DNA and RNA levels.

resultsThe results showed that a total of 265,393 mutation sites were found in D-T2DM patients compared with normal individuals, 235 of which were consensus mutations shared with D-T2DM patients. These genes significantly enriched in HIF-1 signaling pathway and sphingolipid signaling pathway. At the RNA level, a total of 375 genes were identified to be differentially expressed. After the DNA-RNA joint analysis, eight genes were screened that changed at both DNA and RNA levels. Among these genes, FUS and LMNA were related to carbohydrate metabolism, energy metabolism, and mitochondrial function. Subsequently, we predicted the herbs, including Qin Pi and Hei Zhi Ma, that might play a therapeutic role in D-T2DM through the SymMap database.

conclusionThese findings have significant implications for understanding the mechanisms of D-T2DM and provide potential targets for D-T2DM diagnosis and treatment.

Indexed as

DiabetesFatigueMitochondriaRNA sequencingWhole-exome sequencing

Identifiers

PMID35941691
PMCPMC9358875
OpenAlexW4290546020

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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.