Enrichment of Low-Abundance and Low-Molecular-Weight Proteins in Human Milk Using Mass Spectrometry-Based Proteomics

Human milk is a uniquely complex biological fluid, rich in bioactive components such as proteins, antibodies, enzymes, and hormones that are critical for immunity, development, and disease prevention. However, studying these trace proteins requires specialized depletion methods to counteract the dominance of abundant proteins. In this study, we systematically evaluated five different protein depletion methods: centrifugation, organic solvent-based approaches, acid precipitation, and a commercial kit (CK) to assess their efficacy in enriching low-abundance proteins (LAPs) for LC-MS/MS analysis. The comparative analysis of different depletion methods selectively enriched the sequencing depth of LAPs, highlighting the necessity of method selection in milk proteomics research. Our results further revealed that perchloric acid (PerCA) precipitation was the most effective method for identifying unique low-molecular-weight proteins (LMWPs), and optimization of the abundant protein depletion strategy could greatly increase (>10%) the extraction of LMWPs from milk samples. Additionally, several new proteins were found in our investigation when compared to publicly available milk proteome data. Thus, expanding the list of human milk proteomes enriched the data set and offered valuable insights into the complex biological functions of human milk and its impact on neonatal research.

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Publication Details

Journal
ACS Omega
Published
2025-09-09
DOI
https://doi.org/10.1021/acsomega.5c03776
Citations
1
Primary Topic
Infant Nutrition and Health
Type
article
Field-Weighted Citation Impact
1.12

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article

Enrichment of Low-Abundance and Low-Molecular-Weight Proteins in Human Milk Using Mass Spectrometry-Based Proteomics

Zhibo Yang, Hala Chaaban, Ayan Khan, Amit Kumar Singh et al.
1 citations
ACS Omega
Infant Nutrition and Health
1.12
article

Enrichment of Low-Abundance and Low-Molecular-Weight Proteins in Human Milk Using Mass Spectrometry-Based Proteomics

Zhibo Yang, Hala Chaaban, Ayan Khan, Amit Kumar Singh, Nagib Ahsan, Seema Shah, Zongkai Peng, A. Ali, A ALI, Anh Tuan Huynh, Malek Salkini, Saaim Saleemi, Abdullah F Mallah, Sohaib Mesiya, Amir Samour, Simran R Kurella
article en
1 citations

Abstract

Human milk is a uniquely complex biological fluid, rich in bioactive components such as proteins, antibodies, enzymes, and hormones that are critical for immunity, development, and disease prevention. However, studying these trace proteins requires specialized depletion methods to counteract the dominance of abundant proteins. In this study, we systematically evaluated five different protein depletion methods: centrifugation, organic solvent-based approaches, acid precipitation, and a commercial kit (CK) to assess their efficacy in enriching low-abundance proteins (LAPs) for LC-MS/MS analysis. The comparative analysis of different depletion methods selectively enriched the sequencing depth of LAPs, highlighting the necessity of method selection in milk proteomics research. Our results further revealed that perchloric acid (PerCA) precipitation was the most effective method for identifying unique low-molecular-weight proteins (LMWPs), and optimization of the abundant protein depletion strategy could greatly increase (>10%) the extraction of LMWPs from milk samples. Additionally, several new proteins were found in our investigation when compared to publicly available milk proteome data. Thus, expanding the list of human milk proteomes enriched the data set and offered valuable insights into the complex biological functions of human milk and its impact on neonatal research.

ACS OmegaVol. 10(37)
University of Central Oklahoma (US), Dortmund University of Applied Sciences and Arts (DE), IONICS Mass Spectrometry (Canada) (CA), University of Oklahoma Health Sciences Center (US), University of Oklahoma (US)
Children's Health Foundation, National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 20%
Infant Nutrition and Health
1.12
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