Evidence map›Paper›PMID 36755990›Full record

ArticleFrontiers in nutrition2023

Comparative proteomics of human milk casein fraction collected from women of Korean and Han ethnic groups in China.

Cuina Wang, Yingcong Lu, Jia Hu, Yang Yang, Jianjun Cheng, Shilong Jiang, Mingruo Guo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Cuina WangDepartment of Food Science, Jilin University, Changchun, China.
Yingcong LuDepartment of Food Science, Jilin University, Changchun, China.
Jia HuDepartment of Food Science, Jilin University, Changchun, China.
Yang YangDepartment of Food Science, Jilin University, Changchun, China.
Jianjun ChengDepartment of Food Science, Northeast Agricultural University, Harbin, China.
Shilong JiangR&D Center, Heilongjiang Feihe Dairy Co., Ltd., Beijing, China.
Mingruo GuoDepartment of Nutrition and Food Sciences, College of Agriculture and Life Sciences, The University of Vermont, Burlington, VT, United States.
Jilin University · CNNortheast Agricultural University · CNUniversity of Vermont · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Human breast milk provides neonates with indispensable nutrition and function. Milk protein is one of the main constituents of breast milk. Human milk profiles can be influenced by many factors. Methods: The present study aimed to investigate the difference in casein isolated from mature milk of healthy mothers of Korean and Han ethnic groups in China using data-independent acquisition (DIA) proteomics. Results: A total of 535 proteins were identified and quantified in casein fraction samples from both groups. A total of 528 proteins were annotated to 52 Gene Ontology (GO) terms, the majority (94.13%) of which were distributed in the cell and cell parts of the cellular component. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that 106 proteins were involved in 23 pathways, the greatest (36.79%) in carbohydrate metabolism. There were 39 differentially expressed proteins (DEPs)-10 upregulated and 29 downregulated-between Korean and Han milk. The GO function of blood microparticles and KEGG pathway of Discussion: These data may provide useful technical guidance for the development of specific infant foods for certain populations.

Indexed as

caseinDIA techniquefunction annotationhuman milkKorean group

Identifiers

PMID36755990
PMCPMC9901581
OpenAlexW4317721874

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.