Associations of cord metabolome and biochemical parameters with the neonatal deaths of cloned pigs

体细胞核移植 生物 男科 代谢组 胎盘 脐带 代谢组学 胎儿 生理学 免疫学 怀孕 生物信息学 遗传学 医学 胚胎 胚胎发生 胚泡
作者
Zheng Ao,Zhimin Wu,Huaxing Zhao,Zhenfang Wu,Zicong Li
出处
期刊:Reproduction in Domestic Animals [Wiley]
卷期号:56 (12): 1519-1528 被引量:1
标识
DOI:10.1111/rda.14014
摘要

Neonatal cloned pigs generated via somatic cell nuclear transfer (SCNT) have high incidences of malformation and mortality. The mechanisms underlying the massive loss of cloned pig neonates remain unclear. We compared the cord serum metabolic profiles and biochemical indexes of SCNT-derived piglets that died within 4 days (SCNT-DW4), SCNT-derived piglets that survived over 4 days (SCNT-SO4) and artificial insemination (AI)-generated piglets that survived over 4 days (AI-SO4) to investigate the associations of serum metabolomics and biochemical indexes in umbilical cord (UC) sera at delivery with the neonatal loss of cloned pigs. Results showed that compared with SCNT-SO4 and AI-SO4 piglets, SCNT-DW4 piglets had lower birth weight, placental indexes, placental vascularization scores, UC scores, vitality scores, serum glucose and levels but higher creatinine, urea nitrogen and uric acid levels in cord sera. Metabolomics analysis revealed alterations in lipid, glucose and purine metabolism in the cord sera of SCNT-DW4 piglets. These results indicated that the disturbance of the cord serum metabolome might be associated with the low birth weight and malformations of cloned neonates. These effects were likely the consequences of the impaired placental morphology and function of SCNT-derived piglets. This study provides helpful information regarding the potential mechanisms responsible for the neonatal death of cloned pigs and also offers an important basis for the design of effective strategies to improve the survival rate of these animals.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
聂聪发布了新的文献求助10
1秒前
BruceZhang2023完成签到,获得积分10
1秒前
科研通AI5应助Xenia采纳,获得10
2秒前
无奈非笑发布了新的文献求助10
3秒前
小巧蜗牛完成签到,获得积分10
3秒前
3秒前
3秒前
科研通AI5应助joruruo采纳,获得10
3秒前
科研通AI5应助joruruo采纳,获得10
3秒前
4秒前
KONG发布了新的文献求助10
5秒前
十二完成签到,获得积分10
6秒前
画个饼充饥完成签到,获得积分10
6秒前
7秒前
cdercder应助刘清河采纳,获得10
7秒前
圈圈完成签到 ,获得积分10
7秒前
kilig发布了新的文献求助30
8秒前
田様应助叶惊蛰采纳,获得10
8秒前
sdl发布了新的文献求助10
8秒前
111完成签到,获得积分10
9秒前
想念发布了新的文献求助10
9秒前
starleo发布了新的文献求助10
9秒前
9秒前
btsforever完成签到 ,获得积分10
10秒前
11秒前
11秒前
11秒前
闲着也是闲着完成签到 ,获得积分10
11秒前
11秒前
重组聚合酶扩增完成签到,获得积分10
12秒前
13秒前
罗大壮发布了新的文献求助10
13秒前
白日梦蓝完成签到,获得积分10
14秒前
日出发布了新的文献求助10
15秒前
明亮的怜寒完成签到,获得积分10
15秒前
话家发布了新的文献求助10
15秒前
15秒前
15秒前
orixero应助重要冥茗采纳,获得10
15秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Essentials of Performance Analysis in Sport 500
Measure Mean Linear Intercept 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3730226
求助须知:如何正确求助?哪些是违规求助? 3274998
关于积分的说明 9990380
捐赠科研通 2990513
什么是DOI,文献DOI怎么找? 1641210
邀请新用户注册赠送积分活动 779605
科研通“疑难数据库(出版商)”最低求助积分说明 748305