Evidence map›Paper›PMID 39160573›Full record

ReviewDiabetology & metabolic syndrome2024

The correlation between mitochondrial derived peptide (MDP) and metabolic states: a systematic review and meta-analysis.

Qian Zhou, Shao Yin, Xingxing Lei, Yuting Tian, Dajun Lin, Li Wang, Qiu Chen

Abstract readReview
In one paragraph

Review in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

7 authors.

Qian ZhouHospital of Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610072, China.ORCID http://orcid.org/0000-0001-6957-9821
Shao YinHospital of Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610072, China.
Xingxing LeiHospital of Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610072, China.
Yuting TianHospital of Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610072, China.
Dajun LinHospital of Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610072, China.
Li WangHospital of Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610072, China.
Qiu ChenHospital of Chengdu University of Traditional Chinese Medicine, Sichuan Province, No. 39, Shi-Er-Qiao Road, Chengdu, 610072, People's Republic of China. chenqiu1005@cdutcm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMOTS-c is known as mitochondrial open reading frame (ORF) of the twelve S c, produced by a small ORF-encoded peptides (SEPs) in mitochondrial 12S rRNA region. There is growing evidence that MOTS-c has a strong relationship with the expression of inflammation- and metabolism-associated genes and metabolic homeostasis, and even offering some protection against insulin resistance (IR). However, studies have reported inconsistent correlations between different population characteristics and MOTS-c levels. This meta-analysis aims to elucidate MOTS-c levels in physiological and pathological states, and its correlation with metabolic features in various physiological states.

methodsWe conducted a systematic review and meta-analysis to synthesize the evidence of changes in blood MOTS-c concentration, and any association between MOTS-c and population characteristic. The Web of Science, PubMed, EMBASE, CNKI, WANGFANG and VIP databases were searched from inception to April 2023. The statistical analysis was summarized using the standardized mean difference (SMD) and 95% confidence interval (95% CIs). Pearson correlation coefficient was used to analyze the correlation and generate forest plots through a random-effects model. Additional analyses as sensitivity and subgroup analyses were performed to identify the origins of heterogeneity. Publication bias was retrieved by means of a funnel-plot analysis and Egger's test. All related statistical analyses were performed using Revman 5.3 and Stata 15 statistical software.

resultThere are 6 case-control studies and 1 cross-sectional study (11 groups) including 602 participants in our current meta-analysis. Overall analysis results showed plasma MOTS-c concentration in diabetes and obesity patients was significantly reduced (SMD = - 0.37; 95% CI- 0.53 to - 0.20; P < 0.05). After subgroup analysis, the present analysis has yielded opposite results for MOTS-c changes in obesity (SMD = 0.51; 95% CI 0.21 to 0.81; P < 0.05) and type 2 diabetes mellitus (T2DM) (SMD = - 0.89; 95% CI - 1.12 to - 0.65; P < 0.05) individuals. Moreover, the correlation analysis was performed to identify that MOTS-c levels were significantly positively correlated with TC (r = 0.29, 95% CI 0.20 to 0.38) and LDL-c (r = 0.30, 95% CI 0.22 to 0.39). The subgroup analysis results showed that MOTS-c decreased significantly in patients with diabetes (SMD = - 0.89; 95% CI- 1.12 to - 0.65; P < 0.05). In contrast, the analysis result for obesity persons (BMI > 28 kg/ m

conclusionCirculating MOTS-c level was significantly reduced in diabetic individuals but was increased significantly in obesity patients. The application of monitoring the circulating levels variability of MOTS-c in routine screening for obesity and diabetes is prospects and should be taken into consideration as an important index for the early prediction and prevention of metabolic syndrome in the future. PROSPERO registration number CRD42021248167.

Indexed as

DiabetesMeta-analysisMitochondrionMots-cObesity

Identifiers

PMID39160573
PMCPMC11331736

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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.