Evidence map›Paper›PMID 38300380›Full record

ArticleMolecular biology reports2024

Differential analysis of ovarian tissue between high and low-yielded laying hens in the late laying stage and the effect of LECT2 gene on follicular granulosa cells proliferation.

Lin Chen, Xianqiang Li, Yan Wu, Jiaxiang Wang, Jinsong Pi

Abstract read
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In one paragraph

Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
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  4. Apigenin Prevents Ovarian Aging by Regulating CaAntioxidants (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Redox Homeostasis in Poultry/Animal Production.Antioxidants (Basel, Switzerland) · 2025
    Article
  7. Article
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 at 2 institutions in 1 country.

Lin Chen *Animal Husbandry and Veterinary Research Institute, Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Hubei Academy of Agricultural Sciences, Wuhan, 430000, China.
Xianqiang Li *Animal Husbandry and Veterinary Research Institute, Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Hubei Academy of Agricultural Sciences, Wuhan, 430000, China.
Yan WuAnimal Husbandry and Veterinary Research Institute, Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Hubei Academy of Agricultural Sciences, Wuhan, 430000, China. wuyanwh@163.com.
Jiaxiang WangCollege of Animal Science, Yangtze University, Jingzhou, 434000, China.
Jinsong PiAnimal Husbandry and Veterinary Research Institute, Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Hubei Academy of Agricultural Sciences, Wuhan, 430000, China.
Yangtze University · CNHubei Academy of Agricultural Sciences · CN

Funding

China Agriculture Research System of MOF and MARA CARS-40the National Key R&D Program of China 2022YFD1300103the National Key Research and Development Program of China 2022YFD1300100
6 · The paper itself

Abstract

The ovaries of high-yield laying hens exhibited signs of aging beyond 400 days of age, subsequently resulting in a decline in both egg production and egg quality. Oxidative stress, characterized by an increase in the production of reactive oxygen species (ROS), stands as one of the principal processes contributing to ovarian aging. Elevated ROS levels are implicated in the induction of apoptosis in granulosa cells (GCs), provoking mitochondrial impairment, and diminishing the capacity of the antioxidant defense system. This investigation stratified laying hens into two distinct groups, predicated upon their egg production levels: high-yield hens (HH) and low-yield hens (LL). The study focused on evaluating oxidative stress markers and identifying differentially expressed genes between these two groups. The findings revealed that the LL group exhibited follicular atresia, mitochondrial disruptions, and apoptotic occurrences in ovarian GCs. Notably, ROS levels, Malondialdehyde (MDA) concentrations, and 8-hydroxy-2'-deoxyguanosine (8-OHdG) concentrations in ovarian tissue and follicular GCs were substantially higher in the HH group. Furthermore, the RNA-sequencing results unveiled differential expression of the LECT2 gene between the HH and LL groups. Consequently, an overexpression vector for the LECT2 gene was successfully constructed and introduced into GCs. The quantitative polymerase chain reaction (QPCR) analysis exhibited significant downregulation (p < 0.01) of key apoptotic genes such as Caspase-3 and C-myc and significant upregulation (p < 0.01) of BCL2 following the overexpression of the LECT2 gene in GCs. In conclusion, oxidative stress emerges as a pivotal factor influencing the laying traits of both high and low-yield laying hens. The accumulation of reactive oxygen species (ROS) within the ovaries precipitates apoptosis in GCs, subsequently leading to follicular atresia and a reduction in egg production. Furthermore, we employed RNA sequencing technology to examine the ovarian matrix tissue in high and low laying hens during the late phase of egg laying. Our analysis revealed a substantial upregulation of the LECT2 gene in the ovarian matrix tissue of high laying hens. This observation implies that the LECT2 gene exerts a pivotal influence on driving the proliferation and differentiation of follicular GCs, thereby exerting a crucial regulatory role in follicular development.

Indexed as

ChickensFollicular Atresia8-Hydroxy-2'-DeoxyguanosineAnimalsCell ProliferationFemaleGranulosa CellsReactive Oxygen Species8-Hydroxy-2'-DeoxyguanosineReactive Oxygen SpeciesLaying hensLaying performanceLECT2 geneOxidative stressRNA-seq

Identifiers

PMID38300380
OpenAlexW4391447813

What OpenQuestion holds

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Registered trials

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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.