Evidence map›Paper›PMID 41416065›Full record

ArticleFrontiers in endocrinology2025

Association of serum miR-99a level and metabolic dysfunction-associated steatotic liver disease, serum mTOR levels in patients with type 2 diabetes mellitus.

Yangyang Zhang, Yuqiong Zuo, Qian Chen, Yaqiang Cui, Yanxia Bao, Panpan Jiang, Jing Liu, Jinxing Quan, Juxiang Liu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. 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
–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

1 citing paper in PubMed.

  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

9 authors.

Yangyang Zhang *Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Yuqiong Zuo *Medical Record Management Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Qian ChenDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Yaqiang CuiClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Yanxia BaoClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Panpan JiangThe First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China.
Jing LiuDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Jinxing QuanDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Juxiang LiuDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study was designed with the goal of exploring miR-99a expression in T2DM patients suffering from comorbid MASLD and clarifying the importance of miR-99a in this pathological context. Methods: A total of 137 subjects were included in this study, including 50 T2DM patients with MASLD (T2DM +MASLD group),48 T2DM patients without MASLD (T2DM group), and 39 healthy subjects (Control group). We measured the levels of IL-6, mTOR and SOD in the serum of the subjects by ELISA. The plasma miR-99a levels was detected by RT-PCR. The correlation between serum miR-99a level and other indicators was analyzed. Results: Serum miR-99a levels (median 0.79 vs 0.16 vs 0.03, Conclusions: These data highlight a potential role for miR-99a as a regulator of the comorbid incidence of T2DM and MASLD, suggesting that measuring the levels of miR-99a can effectively predict the risk of MASLD in those with T2DM.

Indexed as

Diabetes Mellitus, Type 2Fatty LiverMicroRNAsTOR Serine-Threonine KinasesAdultAgedBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedBiomarkersMicroRNAsMIRN99 microRNA, humanMTOR protein, humanTOR Serine-Threonine Kinasesmetabolic dysfunction-associated steatotic liver diseasemiR-99amiRNAmTORtype diabetes mellitus

Identifiers

PMID41416065
PMCPMC12708240

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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.