Differences in serum metabolome profile explain individual variation in growth performance of young goats.

High growth rates and body weight are important traits of young dairy goats that can shorten generation intervals, improve animal performance, and increase economic benefits. In the present study, ninety-nine, 6-month-old, female goats were fed with the same diet and kept under the same management condition. The ten goats with highest average daily gain (ADG, HADG, 135.27 ± 4.59 g/d) and ten goats with lowest ADG (LADG, 87.74 ± 3.13 g/d) were selected to identify the key serum metabolites associated with ADG, and to investigate the relationships of serum metabolome profiles with digestive tract microbiota. The results showed that a total of 125 serum metabolites were significantly different between HADG and LADG. Of these, 43 serum metabolites were significantly higher levels in HADG, including D-ornithine, l-glutamine, L-histidine, carnosine, LysoPC (16:1(9Z)/0:0), DCTP and hydroxylysine, while, 82 serum metabolites were significantly higher levels in LADG, including P-salicylic acid and deoxycholic acid 3-glucuronide. Pathway analysis indicated that these different metabolites were mainly involved in amino acid and lipid metabolism. Furthermore, Spearman's rank correlation analysis revealed that these differential serum metabolites were correlated with ADG and ADG-related bacteria. Notably, serum hydroxylysine and L-histidine could be used as biomarkers for distinguishing HADG and LADG goats, with an accuracy of >92.0%. SIGNIFICANCE: Our study confirms that individual microbiota and metabolic differences contribute to the variations of growth rate in young goats. Some serum metabolites may be useful in improving the growth performance of young goats, which provides directions for developing further nutritional regulation in the goat industry to achieve healthy feeding and efficiency enhancement.

Effects of COVID-19 home quarantine on pregnancy outcomes of patients with gestational diabetes mellitus: a retrospective cohort study.

OBJECTIVE: This study aimed to evaluate the effects of the home quarantine on pregnancy outcomes of gestational diabetes mellitus (GDM) patients during the COVID-19 outbreak. METHODS: The complete electronic medical records of patients with GDM with home quarantine history were collected and classified into the home quarantine group from 24 February 2020 to 24 November 2020. The same period of patients with GDM without home quarantine history were included in the control group from 2018 to 2019. The pregnant outcomes of the home quarantine and control groups were systematically compared, such as neonatal weight, head circumference, body length, one-minute Apgar score, fetal macrosomia, and pre-term delivery. RESULTS: A total of 1358 patients with GDM were included in the analysis, including 484 in 2018, 468 in 2019, and 406 in 2020. Patients with GDM with home quarantine in 2020 had higher glycemic levels and adverse pregnancy outcomes than in 2018 and 2019, including higher cesarean section rates, lower Apgar scores, and higher incidence of macrosomia and umbilical cord around the neck. More importantly, the second trimester of home quarantine had brought a broader impact on pregnant women and fetuses. CONCLUSION: Home quarantine has aggravated the condition of GDM pregnant women and brought more adverse pregnancy outcomes during the COVID-19 outbreak. Therefore, we suggested governments and hospitals strengthen lifestyle guidance, glucose management, and antenatal care for patients with GDM with home quarantine during public health emergencies.