Evidence map›Paper›PMID 32638705›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Letrozole Rat Model Mimics Human Polycystic Ovarian Syndrome and Changes in Insulin Signal Pathways.

Jinbang Xu, Jingjing Dun, Juan Yang, Junxin Zhang, Qiuping Lin, Mingqing Huang, Feng Ji, Lishan Huang, Xiumi You, Ying Lin

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  3. Reproductive and Cardiometabolic Characterization of a Letrozole- and High-Fat Diet-Induced PMOS-like Rat Model: An Experimental Study.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
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  19. A Review onEndocrine, metabolic & immune disorders drug targets · 2025
    Review
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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

10 authors at 2 institutions in 1 country.

Jinbang XuDepartment of Traditional Chinese Medicine, Fujian Provincial Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Jingjing DunDepartment of Traditional Chinese Medicine, Fujian Provincial Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Juan YangDepartment of Traditional Chinese Medicine, Fujian Provincial Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Junxin ZhangDepartment of Traditional Chinese Medicine, Fujian Provincial Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Qiuping LinDepartment of Traditional Chinese Medicine, Fujian Provincial Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Mingqing HuangCollege of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China (mainland).
Feng JiCollege of Acupuncture, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China (mainland).
Lishan HuangCollege of Acupuncture, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China (mainland).
Xiumi YouDepartment of Traditional Chinese Medicine, Fujian Provincial Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China (mainland).
Ying LinCollege of Acupuncture, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China (mainland).
Fujian Medical University · CNFujian University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aim of this study was to explore whether letrozole and high-fat diets (HFD) can induce obese insulin-resistant polycystic ovary syndrome (PCOS) with all reproductive and metabolic phenotypes in a rat model. MATERIAL AND METHODS Twenty-four 3-week-old female Sprague-Dawley rats were randomized into 4 groups: control, Letrozole, HFD, and Letrozol+HFD. The PCOS model was induced by 12 weeks of Letrozole treatment (1 mg/kg p.o. dissolved in 0.5% CMC solutions once daily) and HFD. Ovarian morphology, estrous cyclicity, hormonal status, body weight, glucose and insulin tolerance, lipid profile, and insulin signaling pathway were investigated. RESULTS The rat model manifests anovulatory cycles and PCO morphology, increased body weight, elevated testosterone levels, abnormal glucose and lipid metabolism, and insulin resistance. The rat model also expresses significantly decreased phosphorylation of 6 essential signaling proteins - INSR, IRS, PI3K, AKT, ERK1, ERK2 - in the PI3K/AKT and MAPK/ERK pathways in the classic insulin-sensitive tissues (e.g., quadriceps femoris muscle, omentum majus, and liver), as well as non-classic target ovary tissues. Disrupted insulin signaling contributes to the decrease in insulin sensitivity and compensatory hyperinsulinemia in PCOS rats. CONCLUSIONS Continuous administration of letrozole and high-fat diets can induce PCOS, metabolic phenotypes, and disrupted activation of the insulin signaling pathway.

Indexed as

AnimalsBody WeightDiet, High-FatDisease Models, AnimalEstrous CycleFemaleInsulinInsulin ResistanceLetrozoleLipid MetabolismLipidsObesityOvaryPolycystic Ovary SyndromeRatsRats, Sprague-DawleyInsulinLetrozoleLipids

Identifiers

PMID32638705
PMCPMC7366789
OpenAlexW3024067802

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.