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Start Over Author "Yuan Xi" Publisher elsevier b.v.
202 results on '"Yuan Xi"'

32. Expression pattern of ATG4C and its effect on early embryonic development of porcine oocytes.

Author

Yuan, Xi, Yang, Ting, Xu, Tairan, Ren, Xuan, Huang, Shihai, Chen, Yuan, Shi, Deshun, and Li, Xiangping

Subjects
*EMBRYOLOGY, *OVUM, *AUTOPHAGY, *MITOCHONDRIA, *BLASTOCYST
Abstract

Autophagy is essential for oocyte maturation and preimplantation embryo development. ATG4C, a member of the ATG4 family, plays a crucial role in the autophagy process. The effect of ATG4C on the early embryonic development in pig has not been studied. In this study, the expression patterns of ATG4C were explored using qRT-PCR and immunofluorescence staining. Different concentrations of serum were added to in vitro maturation (IVM) medium to investigate its effects on oocyte maturation and embryonic development. Finally, the developmental potential of parthenogenetic embryos was detected by downregulating ATG4C in MII stage oocytes under 0 % serum condition. The results revealed that ATG4C was highly expressed in porcine oocytes matured in vitro and in parthenogenetic embryos. Compared with the 10 % serum group, the cumulus cell expansion, first polar body (PB1) extrusion rate, and subsequent developmental competence of embryos were reduced in the 0 % and 5 % serum groups. The mRNA levels of LC3 , ATG5 , BECLIN1 , TFAM , PGC1α , and PINK1 were significantly increased (P < 0.05) in the 0 % serum group. ATG4C was significantly upregulated in the embryos at the 1-cell, 2-cell, 8-cell, and 16-cell stages in the 0 % serum group (P < 0.05). Compared with the negative control group, downregulation of ATG4C significantly decreased the 4-cell, 8-cell, and blastocyst rates (P < 0.05), and the expression of genes related to autophagy, mitochondria, and zygotic genome activation (ZGA) was significantly decreased (P < 0.05). The relative fluorescence intensity of LC3 and mitochondrial content in the ATG4C siRNA group was significantly reduced (P < 0.05). Collectively, the results indicate that ATG4C is highly expressed in porcine oocytes matured in vitro and in early embryos, and inhibition of ATG4C effects embryonic developmental competence by decreasing autophagy, mitochondrial content, and ZGA under serum-free condition. • ATG4C was broadly expressed in porcine oocyte matured in vitro and during early embryonic development. • ATG4C expression was significantly increased in porcine embryos under serum-free conditions. • ATG4C downregulation decreased embryonic developmental potential by influencing autophagy, mitochondrial activity, and zygotic genome activation (ZGA). [ABSTRACT FROM AUTHOR]

Published
2024
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47. Development and Validation of a Predictive Model for Intraoperative Hypothermia in Elderly Patients Undergoing Craniocerebral Tumor Resection: A Retrospective Cohort Study.

Author

Yuan, Xi, Liu, Qing, Zhou, Huixian, Ni, Liangyan, Yin, Xuequn, Zhang, Xinmei, Du, Meilan, and Du, Xiaohong

Subjects
*OLDER patients, *INDUCED hypothermia, *RECEIVER operating characteristic curves, *PREDICTION models, *COHORT analysis, *CRANIOCEREBRAL injuries, *HEMORRHAGIC shock, TUMOR surgery
Abstract

Timely identification of elderly patients who are at risk of developing intraoperative hypothermia (IH) is imperative to enable appropriate interventions. This study aimed to develop a nomogram for predicting the risk of IH in elderly patients undergoing resection of craniocerebral tumor, and to validate its effectiveness. Elderly patients who underwent craniocerebral tumor resection at a large tertiary hospital in eastern China between January 2019 and December 2022 were included (n = 988). The study population was divided into a training set and a validation set by time period. Risk factors identified through the Least Absolute Shrinkage and Selection Operator method and logistic regression analysis were used to establish the nomogram. The model was validated internally by Bootstrap method and externally by validation set through receiver operating characteristic curve analysis, Hosmer-Lemeshow test, and decision curve analysis. A total of 273 (27.6%) patients developed IH. Duration of anesthesia (P < 0.001), blood loss (P < 0.001), preoperative temperature (P < 0.001), tumor location (P < 0.001), age (P < 0.05), and mean arterial pressure (P < 0.05) were identified as independent risk factors for IH. A nomogram integrating these 6 factors was constructed. The area under the curve was 0.773 (95% confidence interval: 0.735–0.811) (70.5% specificity and 75.0% sensitivity), indicating good predictive performance. The decision curve analysis demonstrated the clinical benefit of using the nomogram. Our model showed good performance in identifying elderly patients who are at high risk of developing IH during craniocerebral tumor resection. The nomogram can help inform timely preventive interventions. [ABSTRACT FROM AUTHOR]

Published
2024
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