Evidence map›Paper›PMID 39360324›Full record

ArticleFrontiers in microbiology2024

Impact of weight variation on the microbiome of yak dams and calves.

Hongzhuang Wang, Wangdui Basang, Zhandui Pingcuo, Nan Jiang, Guangming Sun, Shah Nawaz, Yangji Cidan, Yang Liu, Yanbin Zhu, Dunzhu Luosang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

10 authors.

Hongzhuang WangState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.
Wangdui BasangState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.
Zhandui PingcuoState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.
Nan JiangState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.
Guangming SunState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.
Shah NawazDepartment of Anatomy, Faculty of Veterinary Science, University of Agriculture, Faisalabad, Pakistan.
Yangji CidanState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.
Yang LiuState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.
Yanbin ZhuState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.
Dunzhu LuosangState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Limited information exists regarding the microbiome composition of yak calves of varying weights. Therefore, this study aimed to investigate the microbiomes of mother-calf pairs with different weight profiles. Methods: Fecal and blood samples were collected from both lower-weight (CB) and higher-weight (HB) yak calves, along with their corresponding female yaks (CA, HA). Results: The results revealed significantly higher levels of T-AOC (total antioxidant capacity) and GSH-Px (glutathione peroxidase) in HB animals ( Conclusion: In summary, higher-weight yak calves demonstrated increased oxidative resistance, and weight profiles were linked to the microbiomes of both female yaks and their calves. These findings offer valuable insights for optimizing yak breeding practices in high-altitude regions.

Indexed as

calfmicrobiotaoxidative resistanceweightyak

Identifiers

PMID39360324
PMCPMC11446105

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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.