Evidence map›Paper›PMID 39699784›Full record

ArticleMolecular and cellular biochemistry2025

A mammary gland secretion function exploratory study based on a quantitative comparison between milk and serum.

Li Long Wei, Rui Xiao, Yun Zhou, Cheng Wu Han, Yong Tong Cao

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Molecular and cellular biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Li Long Wei *Department of Clinical Laboratory Center, China-Japan Friendship Hospital, 2 Ying-Hua Garden East Street, Beijing, 100029, China.
Rui Xiao *Beijing University of Posts and Telecommunications Hospital, Beijing University of Posts and Telecommunications, 10 Xi-Tu-Cheng Road, Beijing, 100876, China.
Yun ZhouDepartment of Clinical Laboratory Center, China-Japan Friendship Hospital, 2 Ying-Hua Garden East Street, Beijing, 100029, China.
Cheng Wu HanDepartment of Clinical Laboratory Center, China-Japan Friendship Hospital, 2 Ying-Hua Garden East Street, Beijing, 100029, China.
Yong Tong CaoDepartment of Clinical Laboratory Center, China-Japan Friendship Hospital, 2 Ying-Hua Garden East Street, Beijing, 100029, China. caoyongtong100@sina.com.ORCID https://orcid.org/0000-0002-2019-7088

Funding

the Key Clinical Specialty Project of Beijing 2020
6 · The paper itself

Abstract

Lactation is a complex physiological process, and the knowledge about the secretion of many milk components is limited. The objective of this study was to explore the secretory function of human mammary glands through a comparative analysis of common clinical indicators in serum and milk. Milk and serum samples were collected from lactating women simultaneously, and titers of common biochemical components were determined using an automated biochemical analyzer. The differences between the levels of serum and milk components were analyzed using statistical software. There were significant biochemical differences between the milk and serum samples. Among the 46 biochemical components in the quantitative comparison, the titers or activities of nine milk constituents were significantly higher than those in serum, while 32 milk components were significantly lower than those in serum. Five constituents had significantly correlation between milk and serum. Overall, the individual differences in milk were significantly greater than those in serum. The differences between the levels of serum and milk components were assessed definitively, and some additional characteristic secretions from the human breast were also quantified, providing much more data for further research on the secretory function of the human breast.

Indexed as

LactationMammary Glands, HumanMilk, HumanAdultFemaleHumansBiochemical analysisHuman breast secretory functionHuman milk secretionHuman serum constituents

Identifiers

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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.