Evidence map›Paper›PMID 41366003›Full record

ArticleScientific reports2025

The relationship of human tissue MicroRNAs with those from cerebrospinal fluid, tear, sweat, semen, and saliva.

Qintong Fei, Huilin Yao, Tiantian Liang, Sihan Chen, Qinghua Cui

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Qintong FeiSchool of Sports Medicine, Wuhan Sports University, No. 461 Luoyu Rd. Wuchang District, Wuhan, 430079, Hubei Province, China.
Huilin YaoSchool of Sports Medicine, Wuhan Sports University, No. 461 Luoyu Rd. Wuchang District, Wuhan, 430079, Hubei Province, China.
Tiantian LiangSchool of Sports Medicine, Wuhan Sports University, No. 461 Luoyu Rd. Wuchang District, Wuhan, 430079, Hubei Province, China.
Sihan ChenSchool of Sports Medicine, Wuhan Sports University, No. 461 Luoyu Rd. Wuchang District, Wuhan, 430079, Hubei Province, China. sihanchen@whu.edu.cn.
Qinghua CuiSchool of Sports Medicine, Wuhan Sports University, No. 461 Luoyu Rd. Wuchang District, Wuhan, 430079, Hubei Province, China. cuiqinghua@bjmu.edu.cn.

Funding

National Natural Science Foundation of China 62025102Scientific and Technological Research Project of Xinjiang Production and Construction Corps 2023AB057
6 · The paper itself

Abstract

We previously revealed the relationships of human tissue microRNAs (miRNAs) with those from various body fluids including plasma, bile, urine, serum, and feces, which provided valuable clues for discovering miRNA-based biomarkers for specific diseases. However, it remains unknown for the relationships of human tissue miRNAs with those from other body fluids. Here, by analyzing miRNA expression data from 39 tissue types from healthy humans and various body fluids including cerebrospinal fluid, tear, sweat, semen, and saliva, we have uncovered the relationships of human healthy tissues with those body fluids. All miRNA expression data from body fluids were significantly positively correlated with total expression levels of miRNAs in 39 healthy tissues, and body fluids from different sources exhibited distinct patterns in their relationship with healthy tissues. Moreover, body fluids from different sources showed the highest correlation with different healthy tissues. Notably, saliva samples from patients with oral cavity squamous cell carcinoma showed higher correlations with all tissues than those from healthy controls. These findings together provide evidence for the application of body fluid miRNAs as biomarkers for the diagnosis and treatment of relevant human diseases.

Indexed as

Body FluidsCerebrospinal FluidMicroRNAsSalivaSemenSweatTearsBiomarkersGene Expression ProfilingHumansMaleBiomarkersMicroRNAsBioinformaticsBody fluidsMiRNAsTissue

Identifiers

PMID41366003
PMCPMC12775517

What Socratic holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.