Evidence map›Paper›PMID 41483217›Full record

ArticleFunctional & integrative genomics2026

Identification of novel biomarkers and therapeutic targets for type II ketosis in dairy cows through metabolomics and snRNA-Seq.

Xue Feng, Qi Feng, Shuang Liu, Lingkai Zhang, Sayed Haidar Abbas Raza, Bei Cai, Yanfen Ma, Fen Li, Yun Ma

Abstract read
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In one paragraph

Article in Functional & integrative genomics, 2026. 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

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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. Review
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4 · The record

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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

9 authors.

Xue Feng *Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Qi Feng *School of Computer and Information Engineering, Henan University, Kaifeng, 475001, China.
Shuang Liu *Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Lingkai ZhangKey Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Sayed Haidar Abbas RazaResearch Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China.
Bei CaiKey Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Yanfen MaKey Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China. mayf@nxu.edu.cn.
Fen LiKey Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China. lifen2843@nxu.edu.cn.
Yun MaKey Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China. mayun@nxu.edu.cn.

Funding

Ningxia Hui Autonomous Region Key R&D Projects 2021BEF01001Ningxia Ruminantia Nutrition Science and technology innovation team 2024CXTD008Self-breeding and demonstration application of the core breeding population of high-yield dairy cattle YDZX2022153The earmarked fund for CARS CARS-36The Science and Technology Innovation Team Project in Yinchuan 2023CXTD32The Science and Technology Talent Project in Yinchuan 2024KJRC008
6 · The paper itself

Abstract

Type II ketosis in dairy cows is a common metabolic disorder characterized by hepatic lipid metabolism dysregulation. To investigate hepatic tissue heterogeneity and underlying molecular mechanisms in type II ketosis, this study utilized an integrated multi-omics and functional validation strategy. Serum (n = 20), plasma (n = 6), and liver tissue (n = 1 to 3) samples were obtained from Holstein cows in the early postpartum period (3 to 15 days), comparing ketotic and healthy groups. The experimental design combined plasma metabolomics (3 d postpartum, n = 6), cellular metabolomics (n = 6), single-nucleus RNA sequencing (snRNA-seq; 3 d postpartum, n = 1), bulk RNA-seq of hepatocytes (n = 6), and functional assays performed in primary bovine hepatocytes isolated from healthy donor livers (n = 3). This comprehensive framework enabled a systematic exploration of metabolic dysregulation, cellular diversity, and key disease-associated regulatory pathways. The study identified 15 potential biomarkers and extensive dysregulation of metabolic pathways. Liver tissues comprised 14 distinct cell types, with spatially heterogeneous hepatocyte subpopulations localized in periportal, midlobular, and central venous zones. Central venous hepatocytes were pivotal in lipid metabolism, whose reduction amplified interactions between hepatic stellate and endothelial cells, activating lipid-related pathways and driving disease progression. Critically, the ketone body-butyrate-HADHA axis was identified as a central pathogenic pathway. Silencing HADHA alleviated lipid metabolic dysfunction in hepatocytes induced by exogenous NEFA. Notably, HADHA exhibited dual regulatory roles in hepatic lipid metabolism under distinct pathological contexts. This study bridges hepatic cellular dynamics with systemic metabolic dysregulation, laying a theoretical foundation for mitigating lipid metabolism disorders in dairy cattle and informing translational applications in veterinary medicine.

Indexed as

BiomarkersCattle DiseasesKetosisAnimalsCattleFemaleHepatocytesLipid MetabolismLiverMetabolomicsBiomarkersHADHAHolsteinKetosisLipid metabolismLiverSnRNA-seq

Identifiers

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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.