Evidence map›Paper›PMID 39967730›Full record

ArticleFrontiers in microbiology2025

Cecum microbiota composition, fermentation characteristics, and immunometabolic biomarkers of Yunshang black goat fed varying dietary energy and protein levels.

Binlong Fu, Xiaoqi Zhao, Muhammad Khan, Yanting Jiang, Weijuan Li, Maida Mushtaq, Baiji Danzeng, Xiaojun Ni, Zobia Azeem, Qingyong Shao and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. 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
–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

7 citing papers in PubMed.

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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

12 authors.

Binlong Fu *Yunnan Animal Sciences and Veterinary Institute, Kunming, China.
Xiaoqi Zhao *Yunnan Animal Sciences and Veterinary Institute, Kunming, China.
Muhammad Khan *Yunnan Animal Sciences and Veterinary Institute, Kunming, China.
Yanting JiangYunnan Animal Sciences and Veterinary Institute, Kunming, China.
Weijuan LiYunnan Animal Sciences and Veterinary Institute, Kunming, China.
Maida MushtaqYunnan Animal Sciences and Veterinary Institute, Kunming, China.
Baiji DanzengYunnan Animal Sciences and Veterinary Institute, Kunming, China.
Xiaojun NiYunnan Animal Sciences and Veterinary Institute, Kunming, China.
Zobia AzeemDepartment of Zoology, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Qingyong ShaoYunnan Animal Sciences and Veterinary Institute, Kunming, China.
Bai XueAnimal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.
Yina OuyangYunnan Animal Sciences and Veterinary Institute, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ruminants including goats have diverse microcosms of microbiota involved in diet digestion, absorption, and assimilation. Moreover, it is well known that changes in dietary regimens including nutrient levels result in varied gut microbiota composition, and ultimately, the performance and health of these animals. Methods: The current study examined the effects of varying dietary energy and protein levels on the cecal fermentation, immune biomarkers, and microbiota characteristics of 80 male Yunshan Black Goats (6 months, ~35.82 ± 2.79 kg), divided into four diets: 1) High Energy-High Protein (HEHP), 2) High Energy-Low Protein (HELP), 3) Low Energy-High Protein (LEHP), and 4) Low Energy-Low Protein (LELP). Twenty goats (five from each treatment group) were randomly slaughtered after a 50-day feeding trial, and cecal digesta and tissue were sampled for microbial analysis. Results: The cecal content revealed that the high-energy groups (HEHP, HELP) had lower pH levels than the LEHP group ( Conclusion: This study demonstrated that dietary energy and protein levels significantly influenced cecal fermentation, immune biomarkers, and microbiota composition in Yunshan Black Goats.

Indexed as

cecal microbiota compositiondietary energy and proteinfermentation characteristicsimmunometabolic biomarkersYunshang black goat

Identifiers

PMID39967730
PMCPMC11832493

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.