Evidence map›Paper›PMID 40301068›Full record

ArticleThe Journal of reproduction and development2025

Mechanism of action of IHH in ameliorating thin endometrium.

Lan Luo, Man Luo, Donghong Ning, Xi Chen, Qiuman Zheng, Qin Cao

Abstract read
In one paragraph

Article in The Journal of reproduction and development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Lan LuoDepartment of TCM Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Hunan 410008, P.R. China.
Man LuoDepartment of TCM Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Hunan 410008, P.R. China.
Donghong NingDepartment of TCM Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Hunan 410008, P.R. China.
Xi ChenDepartment of TCM Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Hunan 410008, P.R. China.
Qiuman ZhengHunan University of Chinese Medicine, Hunan 410208, P.R. China.
Qin CaoHunan University of Chinese Medicine, Hunan 410208, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A thin endometrium can lead to low clinical pregnancy rates, low live birth rates, high spontaneous abortion rates, and low birth weight. However, current methods of treating thin endometria do not achieve ideal results. This study explored the effect of Indian Hedgehog (IHH) on thin endometrium and its mechanism of action. A thin endometrial rat model was established by infusion of 95% ethanol. IHH was overexpressed in model rats using adeno-associated viruses. The endometrial thickness and number of glands and vessels were determined using H&E staining. Endometrial fibrosis was detected using Masson's trichrome staining. Immunohistochemistry was performed to detect α-SMA, MUC-1, and CK19. After modeling, the rats were mated, and the number of gestational sacs was counted for fertility assessment. Western blotting was used to detect the angiogenesis markers vWF, PCNA, and vim and Hedgehog signaling-related proteins SMO, GLI1, and GLI3. IHH overexpression reduced ethanol-induced edema and bruising, repaired the appearance of damaged tissue, increased endometrial thickness, promoted glandular and vascular regeneration, and alleviated endometrial fibrosis. IHH overexpression inhibited the expression of fibroblast marker α-SMA while promoting the expression of vWF, PCNA, vim, CK19, and MUC-1. It also increased the number of gestational sacs and promoted the expression of SMO, GLI1, and GLI3. In conclusion, IHH ameliorates ethanol-induced thin endometrium and improves fertility by activating the Hedgehog signaling pathway.

Indexed as

EndometriumHedgehog ProteinsAnimalsEthanolFemaleFibrosisPregnancyRatsRats, Sprague-DawleySignal TransductionEthanolHedgehog ProteinsFertilityHedgehog signaling pathwayIndian Hedgehog (IHH)Thin endometrium

Identifiers

PMID40301068
PMCPMC12151634

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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.