Evidence map›Paper›PMID 42152089›Full record

ArticleBMC veterinary research2026

Establishment and evaluation of hematological and serum biochemical reference intervals in Chinese local donkey populations.

Qifei Zhu, Muhammad Zahoor Khan, Yadi Jing, Xiaotong Liu, Wenting Chen, Mingyang Geng, Bing Liu, Yunliang Zhang, Shishuai Xing, Yongdong Peng and 1 more

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Article in BMC veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

11 authors.

Qifei ZhuLiaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, College of Agriculture and Biology, Liaocheng University, Liaocheng, 252000, China.
Muhammad Zahoor KhanLiaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, College of Agriculture and Biology, Liaocheng University, Liaocheng, 252000, China. zahoorkhattak91@yahoo.com.
Yadi JingLiaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, College of Agriculture and Biology, Liaocheng University, Liaocheng, 252000, China.
Xiaotong LiuLiaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, College of Agriculture and Biology, Liaocheng University, Liaocheng, 252000, China.
Wenting ChenLiaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, College of Agriculture and Biology, Liaocheng University, Liaocheng, 252000, China.
Mingyang GengIli Kazak Autonomous Prefecture Livestock General Station, Ili, 835000, Xinjiang, China.
Bing LiuNational Engineering Research Center for Gelatin-based TCM, Dong-E E-Jiao Co., Ltd, 78 E-Jiao Street Donge County, Donge, 252200, Liaocheng, Shandong, China.
Yunliang ZhangXinjiang Shanhai Animal Husbandry Co., Ltd, Yili, 835000, Xinjiang, China.
Shishuai XingYucheng Huimin Agricultural Science and Technology Co., Ltd, Yucheng, 251200, Shandong, China.
Yongdong PengLiaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, College of Agriculture and Biology, Liaocheng University, Liaocheng, 252000, China. pengyongdong@lcu.edu.cn.
Changfa WangLiaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, College of Agriculture and Biology, Liaocheng University, Liaocheng, 252000, China. wangchangfa@lcu.edu.cn.

Funding

Horizontal Scientific Research Project of Liaocheng University K25LD167Liaocheng Municipal Bureau of Science and Technology, High-talented Foreign Expert Introduction Program GDWZ202401Liaocheng University scientific research fund 318052339National Key R&D Program of China 2023YFD1302004National Natural Science Foundation of China 31671287Shandong Province Modern Agricultural Technology System Donkey Industrial Innovation Team SDAIT-27Shandong Provincial Natural Science Foundation ZR2024MC213the Livestock and Poultry Breeding Industry Project of the Ministry of Agriculture and Rural Affairs 19211162
6 · The paper itself

Abstract

backgroundReliable interpretation of hematological and serum biochemical test results in donkeys benefits from the use of population- and management-system-adapted reference intervals (RIs). However, standardized and CLSI-compliant RIs for Chinese local donkeys are still unavailable, limiting their clinical and epidemiological application. This study aimed to establish hematological and serum biochemical RIs for Chinese local donkeys using a large, multi-farm dataset, and to evaluate the effects of farm origin, age, and sex on these parameters. Blood samples were collected from healthy donkeys raised under different conservation levels and production systems, and RIs were constructed following Clinical and Laboratory Standards Institute (CLSI) C28-A3 guidelines using non-parametric methods.

resultsA total of 1,163 serum samples collected from five geographically distinct donkey farms were included for serum biochemical analysis. The study population was sourced from national conservation farms comprising Dong'e and Wudi, provincial conservation farms comprising Yucheng and Zhongrun, and one local farm in Xinjiang. Twenty serum biochemical parameters covering protein metabolism, liver function, energy and lipid metabolism, mineral balance, and renal function were assessed. Hematological analyses were performed using samples obtained from 935 donkeys from the Dong'e farm. The results demonstrated that farm origin was the primary source of variation for most serum biochemical parameters. In contrast, although age- and sex-related differences were observed for certain variables, Harris and Boyd partitioning analysis indicated that these effects were not of sufficient magnitude to justify separate reference intervals for either biochemical or hematological parameters. Juvenile donkeys exhibited physiological trends consistent with growth and immune system maturation; however, these differences remained within the limits of non-partitioning criteria. Overall, the reference intervals established in this study differed from those reported in horses and donkeys from other regions, highlighting the substantial influence of population background and management conditions on physiological profiles.

conclusionsThis study provides the first large-scale, CLSI-compliant hematological and serum biochemical reference intervals for Chinese local donkeys. The findings indicate that population- and management-system-adapted reference intervals are important for accurate clinical interpretation. These reference values offer a useful baseline for veterinary diagnosis, health monitoring, and conservation management of Chinese donkey populations.

Indexed as

Blood Chemical AnalysisEquidaeHematologic TestsAnimalsChinaFemaleMaleReference ValuesChinese local donkeysEquine health monitoringFarm origin variationHematological parametersReference intervalsSerum biochemistry

Identifiers

PMID42152089
PMCPMC13352610

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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.