Evidence mapPaperPMID 41018635Full record

ArticleACS omega2025

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

Amit Singh, Zongkai Peng, Salmaan M Shah, Malek Salkini, Abdullah F Mallah, Aleena F Ali, Simran R Kurella, Annelise N Huynh, Saaim M Saleemi, Ayan Khan and 6 more

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Amit SinghDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States.
Zongkai PengDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States.
Salmaan M ShahDodge Family College of Arts and Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States.
Malek SalkiniDodge Family College of Arts and Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States.
Abdullah F MallahDodge Family College of Arts and Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States.
Aleena F AliDodge Family College of Arts and Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States.
Simran R KurellaDodge Family College of Arts and Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States.
Annelise N HuynhDodge Family College of Arts and Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States.
Saaim M SaleemiDodge Family College of Arts and Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States.
Ayan KhanDepartment of Biology, University of Central Oklahoma, Edmond, Oklahoma 73034, United States.
Sohaib MesiyaDepartment of Biology, University of Central Oklahoma, Edmond, Oklahoma 73034, United States.
Akbar AliMass Spectrometry, Proteomics and Metabolomics Core Facility, Stephenson Life Sciences Research Center, University of Oklahoma, Norman, Oklahoma 73019, United States.
Amir SamourMass Spectrometry, Proteomics and Metabolomics Core Facility, Stephenson Life Sciences Research Center, University of Oklahoma, Norman, Oklahoma 73019, United States.
Hala ChaabanDepartment of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma 73104, United States.
Zhibo YangDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States.ORCID https://orcid.org/0000-0003-0370-7450
Nagib AhsanDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States.ORCID https://orcid.org/0000-0002-6813-7527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID41018635
PMCPMC12461359

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.