Evidence map›Paper›PMID 35745243›Full record

ArticleNutrients2022

Proteomic Analysis of Human Milk Reveals Nutritional and Immune Benefits in the Colostrum from Mothers with COVID-19.

Juanjuan Guo, Minjie Tan, Jing Zhu, Ye Tian, Huanyu Liu, Fan Luo, Jianbin Wang, Yanyi Huang, Yuanzhen Zhang, Yuexin Yang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Evolutionary bridges: how factors present in amniotic fluid and human milk help mature the gut.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
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

11 authors at 6 institutions in 1 country.

Juanjuan GuoDepartment of Gynaecology and Obstetrics, Zhongnan Hospital of Wuhan University, Hubei Clinical Research Center for Prenatal Diagnosis and Birth Health, Wuhan 430071, China.
Minjie TanInstitute for Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China.
Jing ZhuInstitute of Biotechnology and Health, Beijing Academy of Science and Technology, Beijing 100089, China.ORCID 0000-0001-8451-9173
Ye TianInstitute for Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China.
Huanyu LiuDepartment of Gynaecology and Obstetrics, Zhongnan Hospital of Wuhan University, Hubei Clinical Research Center for Prenatal Diagnosis and Birth Health, Wuhan 430071, China.
Fan LuoState Key Laboratory of Virology, Institute of Medical Virology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.
Jianbin WangSchool of Life Sciences, Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China.
Yanyi HuangInstitute for Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China.ORCID 0000-0002-7297-1266
Yuanzhen ZhangDepartment of Gynaecology and Obstetrics, Zhongnan Hospital of Wuhan University, Hubei Clinical Research Center for Prenatal Diagnosis and Birth Health, Wuhan 430071, China.
Yuexin YangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Guanbo WangInstitute for Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China.ORCID 0000-0002-5468-8993
Wuhan University · CNPeking University · CNShenzhen Bay Laboratory · CNBeijing Academy of Science and Technology · CNCenter for Life Sciences · CNChinese Center For Disease Control and Prevention · CN

Funding

China Postdoctoral Science Foundation 2021T140067Fundamental Research Funds for the Central Universities 2042020kfxg17National Natural Science Foundation of China NSFC 21974069
6 · The paper itself

Abstract

Despite the well-known benefits of breastfeeding and the World Health Organization's breastfeeding recommendations for COVID-19 infected mothers, whether these mothers should be encouraged to breastfeed is under debate due to concern about the risk of virus transmission and lack of evidence of breastmilk's protective effects against the virus. Here, we provide a molecular basis for the breastfeeding recommendation through mass spectrometry (MS)-based proteomics and glycosylation analysis of immune-related proteins in both colostrum and mature breastmilk collected from COVID-19 patients and healthy donors. The total protein amounts in the COVID-19 colostrum group were significantly higher than in the control group. While casein proteins in COVID-19 colostrum exhibited significantly lower abundances, immune-related proteins, especially whey proteins with antiviral properties against SARS-CoV-2, were upregulated. These proteins were detected with unique site-specific glycan structures and improved glycosylation diversity that are beneficial for recognizing epitopes and blocking viral entry. Such adaptive differences in milk from COVID-19 mothers tended to fade in mature milk from the same mothers one month postpartum. These results suggest that feeding infants colostrum from COVID-19 mothers confers both nutritional and immune benefits, and provide molecular-level insights that aid breastmilk feeding decisions in cases of active infection.

Indexed as

COVID-19Milk, HumanBreast FeedingColostrumFemaleHumansInfantMothersPregnancyProteomicsSARS-CoV-2antiviral propertybreastmilkcolostrumCOVID-19glycosylationimmunoglobulinproteomicswhey protein

Identifiers

PMID35745243
PMCPMC9227629
OpenAlexW4283077774

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.