Evidence map›Paper›PMID 40584968›Full record

ArticleFood chemistry. Molecular sciences2025

Characterization of mammary glands and milk fat globule transcripts in lactating buffalo and goats.

Hancai Jiang, Xiaoxian Xu, Shuwan Wang, Xinhui Song, Ling Li, Qingyou Liu, Kuiqing Cui, Deshun Shi, Jian Wang, Hui Li and 2 more

Abstract read
In one paragraph

Article in Food chemistry. Molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The role ofArchives animal breeding · 2026
    Article
  2. Review
  3. Transcriptomic and Proteomic Insights Into Buffalo Milk Fat Synthesis and the Role of IGFBP4 in BMECs.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 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

12 authors.

Hancai JiangGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Xiaoxian XuGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Shuwan WangGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Xinhui SongGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Ling LiGuangxi Key Laboratory of Buffalo Genetics, Reproduction and Breeding, Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning 530001, China.
Qingyou LiuGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, 528225, Foshan, China.
Kuiqing CuiGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, 528225, Foshan, China.
Deshun ShiGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Jian WangGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Hui LiGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Jieping HuangGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Zhipeng LiGuangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, College of Animal Science and Technology, Guangxi University, Nanning 530004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression and post-transcriptional regulation are key mechanisms affecting lactation performance in dairy animals. However, the difficulty of obtaining mammary gland tissue samples from lactating animals has significantly impeded lactation research. Milk fat globules may be a non-invasive way to obtain mammary transcripts. Here, we aimed to reveal the universal rule of the transcript profiles of the milk fat globules and mammary glands from buffaloes and goats by RNA-sequencing analysis. Results showed that, in buffalo, 97 % of mRNAs were expressed in both milk fat globules and mammary glands, with 45 % showing differential expression. Among 6086 lncRNAs and 7010 miRNAs identified, 35 % and 50 % were differentially expressed, respectively. Of 11,631 circRNAs, only 618 showed significant differences. In goat, more than 99 % of mRNAs and 87 % of ncRNAs (including lncRNAs, circRNAs, and miRNAs) were expressed in both milk fat globules and mammary glands, and over 91 % of mRNAs, 96 % of lncRNAs, 98 % of circRNAs, and 86 % of miRNAs showed no significant differences, suggests that the transcripts in milk fat globules exactly reflect that in the mammary gland. This study suggests that milk fat globules are an effective candidate for non-invasive acquisition of mammary gland transcripts, but their applicability needs further study.

Indexed as

LactationncRNAsNon-invasive acquisitionTranscript profiles

Identifiers

PMID40584968
PMCPMC12203874

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LicenceCC BY-NC-ND
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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.