Variations in colostrum metabolite profiles in association with sow parity

IF 1.3 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE

Translational Animal Science Pub Date : 2024-05-03 DOI:10.1093/tas/txae062

J. Vötterl, H. Schwartz-Zimmermann, F. Lerch, Fitra Yosi, Suchitra Sharma, Markus Aigensberger, Patrick M. Rennhofer, F. Berthiller, B. Metzler-Zebeli

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Abstract

Information about the full spectrum of metabolites present in porcine colostrum and factors that influence metabolite abundances is still incomplete. Parity number appears to modulate the concentration of single metabolites in colostrum. This study aimed to 1) characterize the metabolome composition and 2) assess the effect of parity on metabolite profiles in porcine colostrum. Sows (n = 20) were divided into three parity groups: A) sows in parity 1 and 2 (n = 8), B) sows in parity 3 and 4 (n = 6), and C) sows in parity 5 and 6 (n = 6). Colostrum was collected within 12 h after parturition. A total of 125 metabolites were identified using targeted reversed phase high-performance liquid chromatography tandem mass spectrometry and anion-exchange chromatography-high resolution mass spectrometry. Gas chromatography additionally identified 19 fatty acids (FA). Across parities, colostrum was rich in creatine and creatinine, 1,3-dioleyl-2-palmitatoylglycerol, 1,3-dipalmitoyl-2-oleoylglycerol and sialyllactose. Alterations in colostrum concentrations were found for 8 metabolites among parity groups (P < 0.05) but effects were not linear. For instance, colostrum from parity group C comprised 75.4% more valine but 15.7, 34.1 and 47.9% less citric, pyruvic and pyroglutamic acid, respectively, compared to group A (P < 0.05). By contrast, colostrum from parity group B contained 39.5% more spermidine than from group A (P < 0.05). Of the FA, C18:1, C16:0 and C18:2 n-6 were the main FA across parities. Parity affected four FA (C18:3n3, C14:1, C17:0ai and C17:1), including 43.1% less α-linolenic acid (C18:3n3) in colostrum from parity group C compared to groups A and B (P < 0.05). Signature feature ranking identified 1-stearoyl-2-hydroxy-sn-glycero-3-phosphatidylcholine and the secondary bile acid hyodeoxycholic acid as the most discriminative metabolites, showing a higher variable importance in the projection score in colostrum from parity group A than from groups B and C. Overall, results provided a comprehensive overview about the metabolome composition of sow colostrum. The consequences of the changes in colostrum metabolites with increasing parity for the nutrient supply of the piglets should be investigated in the future. The knowledge gained in this study could be used to optimize feeding strategies for sows.

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初乳代谢物谱的变化与母猪胎次的关系

有关猪初乳中存在的全部代谢物以及影响代谢物丰度的因素的信息仍不完整。胎次似乎能调节初乳中单一代谢物的浓度。本研究旨在：1）描述代谢组的组成；2）评估胎次对猪初乳中代谢物含量的影响。母猪（n = 20）被分为三个妊娠期组：A）1-2龄母猪（n = 8）；B）3-4龄母猪（n = 6）；C）5-6龄母猪（n = 6）。产后 12 小时内收集初乳。采用定向反相高效液相色谱串联质谱法和阴离子交换色谱-高分辨质谱法鉴定了 125 种代谢物。气相色谱法还鉴定了 19 种脂肪酸 (FA)。不同婴幼儿的初乳富含肌酸和肌酐、1,3-二油酰-2-棕榈酰甘油、1,3-二棕榈酰-2-油酰甘油和半乳糖。8种代谢物的初乳浓度在不同的雌雄胎次组间发生了变化（P < 0.05），但这种变化不是线性的。例如，与 A 组相比，C 组的初乳中缬氨酸含量高 75.4%，但柠檬酸、丙酮酸和焦谷氨酸含量分别低 15.7%、34.1% 和 47.9%（P < 0.05）。相比之下，奇数组 B 的初乳中精胺含量比 A 组多 39.5%（P < 0.05）。在各种FA中，C18:1、C16:0和C18:2 n-6是各奇数组的主要FA。奇偶性影响四种脂肪酸（C18:3n3、C14:1、C17:0ai 和 C17:1），其中奇偶性 C 组初乳中的α-亚麻酸（C18:3n3）比 A 组和 B 组少 43.1%（P < 0.05）。特征排序发现，1-硬脂酰基-2-羟基-sn-甘油-3-磷脂酰胆碱和次生胆汁酸透明脱氧胆酸是最具鉴别力的代谢物，与 B 组和 C 组相比，A 组母猪初乳在预测得分中显示出更高的变量重要性。今后应研究初乳代谢物随母猪奇数增加而发生的变化对仔猪营养供应的影响。本研究获得的知识可用于优化母猪的饲喂策略。

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来源期刊

Translational Animal Science Veterinary-Veterinary (all)

CiteScore

2.80

自引率

15.40%

发文量

149

审稿时长

8 weeks

期刊介绍： Translational Animal Science (TAS) is the first open access-open review animal science journal, encompassing a broad scope of research topics in animal science. TAS focuses on translating basic science to innovation, and validation of these innovations by various segments of the allied animal industry. Readers of TAS will typically represent education, industry, and government, including research, teaching, administration, extension, management, quality assurance, product development, and technical services. Those interested in TAS typically include animal breeders, economists, embryologists, engineers, food scientists, geneticists, microbiologists, nutritionists, veterinarians, physiologists, processors, public health professionals, and others with an interest in animal production and applied aspects of animal sciences.

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