Evidence map›Paper›PMID 41080146›Full record

ArticleFood chemistry: X2025

Integrated microbial and proteomic analysis elucidates quality degradation mechanisms of fresh milk through the industrial processing stage.

Xudong He, Feiyan Yang, Guangfan Qu, Hanzhi Zhang, Ming Yi, Xu Wang, Shuguo Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Xudong HeNational Engineering Laboratory for Deep Process of Rice and Byproducts, Hunan Key Laboratory of Grain-oil Deep Process and Quality Control, Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, Hunan, China.
Feiyan YangNational Engineering Laboratory for Deep Process of Rice and Byproducts, Hunan Key Laboratory of Grain-oil Deep Process and Quality Control, Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, Hunan, China.
Guangfan QuNational Engineering Laboratory for Deep Process of Rice and Byproducts, Hunan Key Laboratory of Grain-oil Deep Process and Quality Control, Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, Hunan, China.
Hanzhi ZhangNational Engineering Laboratory for Deep Process of Rice and Byproducts, Hunan Key Laboratory of Grain-oil Deep Process and Quality Control, Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, Hunan, China.
Ming YiNational Engineering Laboratory for Deep Process of Rice and Byproducts, Hunan Key Laboratory of Grain-oil Deep Process and Quality Control, Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, Hunan, China.
Xu WangInstitute of Quality Standard and Monitoring Technology for Agro-products of Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510640, China.
Shuguo SunNational Engineering Laboratory for Deep Process of Rice and Byproducts, Hunan Key Laboratory of Grain-oil Deep Process and Quality Control, Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fresh milk quality deterioration during processing is a major dairy challenge, with microbial-driven protein degradation mechanisms unclear. This study pioneers an integrated microbiome-proteome approach to systematically elucidate the dynamic interplay between microbial succession and protein quality changes during industrial processing. Microbial community analysis revealed oscillatory richness, with 2.3-fold and 1.8-fold increases during pre-treatment (PL) and refrigerated transport (RC), respectively. Pseudomonas (12.4 % → 31.7 %) and Acinetobacter (8.1 % → 19.3 %) dominated key phases, with proteomics showing significant nutrient loss (IgM: -69.8 %; IgG: -54.15 %). Integrating microbial metagenomics with proteolytic pathway analysis identified proteases from Pseudomonas and Acinetobacter as key drivers of protein degradation (68 % activity). Pasteurization cut microbial load by 82 % but paradoxically intensified nutrient loss via protein denaturation. Crucially, our data establish a time-dependent degradation model, revealing that combined microbial enzymatic action and thermal effects account for 76 % of total protein hydrolysis, providing a theoretical framework for developing targeted intervention strategies in dairy processing optimization.

Indexed as

Fresh milkMicrobial spoilageMicrobiomicsMilk qualityProteomics

Identifiers

PMID41080146
PMCPMC12508819

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.