Evidence map›Paper›PMID 33473267›Full record

ReviewFood science & nutrition2021

Longitudinal changes in the bioactive proteins in human milk of the Chinese population: A systematic review.

Qiqi Ren, Yalin Zhou, Wei Zhang, Yueyue Tian, Han Sun, Xuejun Zhao, Yajun Xu, Shilong Jiang

Abstract readReview
In one paragraph

Review in Food science & nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Review
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  6. Article
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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

8 authors.

Qiqi RenPKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development Beijing China.
Yalin ZhouPKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development Beijing China.
Wei ZhangPKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development Beijing China.
Yueyue TianPKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development Beijing China.
Han SunPKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development Beijing China.
Xuejun ZhaoPKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development Beijing China.
Yajun XuPKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development Beijing China.
Shilong JiangPKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development Beijing China.ORCID https://orcid.org/0000-0001-6975-0844

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review aimed at investigating longitudinal changes in human milk bioactive protein concentrations in Chinese population. Both English and Chinese databases were searched. The data were pooled into six defined lactation stages. Weighted means of protein concentrations in each stage and the statistical significance of means of different lactation stages were calculated. The data of 11 bioactive proteins were retrieved. Concentrations of sIgA, IgM, and IgG decreased sharply during the first 14 days of lactation. The levels of α-lactalbumin, lactoferrin, and β-casein also decreased throughout lactation. Conversely, lysozyme levels increased over lactation. The changing patterns of the serum albumin, osteopontin, and bile salt-stimulated lipase (BSSL) were not conclusive. This study represents the most comprehensive summary of bioactive proteins in Chinese human milk. In the future, mass spectrometry-based analysis of human milk proteomics may be used to investigate the longitudinal changes of many more bioactive proteins.

Indexed as

breast milkcompositiondynamicprofile

Identifiers

PMID33473267
PMCPMC7802555

What OpenQuestion holds

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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.