Evidence map›Paper›PMID 38449855›Full record

ReviewFrontiers in endocrinology2024

MicroRNAs in spermatogenesis dysfunction and male infertility: clinical phenotypes, mechanisms and potential diagnostic biomarkers.

Ziyan Shi, Miao Yu, Tingchao Guo, Yu Sui, Zhiying Tian, Xiang Ni, Xinren Chen, Miao Jiang, Jingyi Jiang, Yongping Lu and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
21.5field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  12. Small Non-coding RNAs and Male Infertility.Advances in experimental medicine and biology · 2026
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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

11 authors at 1 institution in 1 country.

Ziyan Shi *NHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
Miao Yu *Science Experiment Center, China Medical University, Shenyang, China.
Tingchao GuoNHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
Yu SuiNHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
Zhiying TianNHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
Xiang NiNHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
Xinren ChenNHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
Miao JiangNHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
Jingyi JiangDepartment of Biochemistry & Molecular Biology, China Medical University, Shenyang, China.
Yongping LuNHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
Meina LinNHC Key Laboratory of Reproductive Health and Medical Genetics & Liaoning Key Laboratory of Reproductive Health, Liaoning Research Institute of Family Planning, China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infertility affects approximately 10-15% of couples worldwide who are attempting to conceive, with male infertility accounting for 50% of infertility cases. Male infertility is related to various factors such as hormone imbalance, urogenital diseases, environmental factors, and genetic factors. Owing to its relationship with genetic factors, male infertility cannot be diagnosed through routine examination in most cases, and is clinically called 'idiopathic male infertility.' Recent studies have provided evidence that microRNAs (miRNAs) are expressed in a cell-or stage-specific manner during spermatogenesis. This review focuses on the role of miRNAs in male infertility and spermatogenesis. Data were collected from published studies that investigated the effects of miRNAs on spermatogenesis, sperm quality and quantity, fertilization, embryo development, and assisted reproductive technology (ART) outcomes. Based on the findings of these studies, we summarize the targets of miRNAs and the resulting functional effects that occur due to changes in miRNA expression at various stages of spermatogenesis, including undifferentiated and differentiating spermatogonia, spermatocytes, spermatids, and Sertoli cells (SCs). In addition, we discuss potential markers for diagnosing male infertility and predicting the varicocele grade, surgical outcomes, ART outcomes, and sperm retrieval rates in patients with non-obstructive azoospermia (NOA).

Indexed as

Infertility, MaleMicroRNAsBiomarkersHumansMalePhenotypeSemenSpermatogenesisBiomarkersMicroRNAsdiagnostic markersmale infertilityMicroRNAsNOAsperm

Identifiers

PMID38449855
PMCPMC10916303
OpenAlexW4392016659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.