Evidence map›Paper›PMID 39599598›Full record

ArticleNutrients2024

Maternal BMI During Lactation Is Associated with Major Protein Compositions in Early Mature Milk.

Dong Liang, Zeyu Jiang, Yumei Zhang, Ning Li, Hua Jiang, Gangqiang Ding

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Maternal characteristics associated with ovalbumin concentrations in breast milk.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
    Trial
  2. Article
  3. Article
  4. 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

6 authors.

Dong LiangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Zeyu JiangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China.ORCID 0009-0004-8969-6696
Yumei ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-0103-7900
Ning LiChina National Center for Food Safety Risk Assessment, Beijing 100022, China.
Hua JiangSchool of Nursing, Peking University, Beijing 100191, China.ORCID 0000-0002-3264-990X
Gangqiang DingNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study identified multiple proteins in early mature milk and explored the correlation between protein compositions in HM and maternal BMI during lactation.

methodsA total of 70 mothers giving birth to single-term infants from four representative cites were enrolled in this research. Milk samples were collected between 9 and 11 a.m. to avoid the influence of circadian rhythms. The concentration of total protein in the milk samples was determined using the Bradford method, and the concentrations of α-lactalbumin, lactoferrin, osteopontin, α

resultsIn the univariate models, the concentrations of TP (r = 0.306), α-La (r = 0.260), LF (r = 0.371), OPN (r = 0.286), and α

conclusionsObese mothers had higher concentrations of multiple protein components than other groups, while underweight mothers had lower concentrations. The association between BMI and protein compositions may be more pronounced for certain protein types.

Indexed as

Body Mass IndexLactationMilk, HumanMilk ProteinsAdultFemaleHumansMothersMilk Proteinsbody mass index (BMI)caseinhuman milklactoferrinmilk fat globule membrane (MFGM) proteinsprotein

Identifiers

PMID39599598
PMCPMC11597192

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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.