Evidence map›Paper›PMID 39543623›Full record

ArticleJournal of nanobiotechnology2024

Succinate exacerbates mastitis in mice via extracellular vesicles derived from the gut microbiota: a potential new mechanism for mastitis.

Min Qiu, Cong Ye, Xiaotong Zhao, Chenyu Zou, Ruibo Tang, Jiaxin Xie, Yiheng Liu, Yubo Hu, Xiaoyu Hu, Naisheng Zhang and 3 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Animals : an open access journal from MDPI · 2025
    Article
  8. Review
  9. Review
  10. Animals : an open access journal from MDPI · 2025
    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

13 authors.

Min Qiu *Department of Gynecology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, 130033, China.
Cong Ye *Department of Gynecology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, 130033, China.
Xiaotong ZhaoDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China.
Chenyu ZouDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China.
Ruibo TangDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China.
Jiaxin XieDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China.
Yiheng LiuDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China.
Yubo HuDepartment of Anesthesiology, China-Japan Union Hospital of Jilin University, Erdao District, 126 Sendai Street, Changchun, Jilin Province, 130033, China.
Xiaoyu HuDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China.
Naisheng ZhangDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China.
Yunhe FuDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China. fuyunhesky@sina.com.
Jun WangCollege of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province, 130118, China. Junwang2004@126.com.
Caijun ZhaoDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, Jilin Province, 130062, China. zhaocj2001@sina.com.

Funding

Bethune Project of Jilin University 2023B17China Postdoctoral Science Foundation 2023M741348Jilin Province Health Research Talents Special Project 2023SCZ17National Natural Science Foundation of China 32330105National Postdoctoral Program for Innovative Talents BX20230140Spring-Bud Plan Construction Project of China-Japan Union Hospital of Jilin University 2024CL04the National Key R&D Program of China 2023YFD1801100
6 · The paper itself

Abstract

backgroundA high grain diet causes an ecological imbalance in the gut microbiota and serves as an important endogenous trigger of mastitis in dairy cows, but the underlying mechanisms are unclear. Our previous study revealed that subacute rumen acidosis (SARA)-associated mastitis has distinct metabolic profiles in the rumen, especially a significant increase in succinate, but the role of succinate in the pathogenesis of mastitis remains unclear.

resultsSuccinate treatment exacerbates low-grade endotoxemia-induced mastitis in mice. Specifically, succinate increased the production of gut microbiota-extracellular vehicles (mEVs) containing lipopolysaccharides, which can diffuse across the damaged intestinal barrier into the mammary glands. Administration of mEVs promotes mammary inflammation via activation of the TLR4/NF-κB pathway.

conclusionsOur findings suggest that succinate promotes mastitis through the proliferation of enteric pathogens and mEVs production, suggesting a potential strategy for mastitis intervention on the basis of intestinal metabolic regulation and pathogen inhibition. The role of mEVs in interspecific communication has also been elucidated.

Indexed as

Extracellular VesiclesGastrointestinal MicrobiomeMastitisSuccinic AcidAnimalsFemaleLipopolysaccharidesMammary Glands, AnimalMiceMice, Inbred BALB CNF-kappa BToll-Like Receptor 4LipopolysaccharidesNF-kappa BSuccinic AcidToll-Like Receptor 4Extracellular vesiclesMastitisSuccinateTLR4/NF-κB

Identifiers

PMID39543623
PMCPMC11566393

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.