Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective To investigate the effect of standardized lymph node sorting on postoperative results of gas-troesophageal junction malignant tumors.Methods The data of all patients with malignant gastroesophageal junc-tion in gastric cancer database were analyzed retrospectively.Lymph nodes were sorted according to whether sur-geons were present immediately after surgery.Patients were divided into lymph node sorting group(sorting group)and lymph node unsorting group(unsorting group).General data included gender,age,body mass index(BMI),carcinogenic antigen(CEA),postoperative albumin level,preoperative hemoglobin,etc.Perioperative and patho-logical data included operation time,intraoperative blood loss,postoperative hospital stay,tumor differentiation,distance from superior incisal margin,total number of lymph nodes,number of positive lymph nodes,etc.Kaplan-Meier curve and Log-rank test were used for survival analysis,and propensity score matching analysis adjusted for confounding factors between groups.Results A total of 386 patients were included,including 133 in lymph node sorting group and 253 in non-sorting group.The median follow-up time was 40.18 months.The total number of lymph nodes and the number of positive lymph nodes in the sorting group were(26.38±12.18)and(6.63±10.14),respectively,while the total number and the number of positive lymph nodes in the non-sorting group were(12.25±7.06)and(3.07±3.77),respectively.There were statistically significant differences in the total num-ber of lymph nodes and the number of positive lymph nodes between the sorting group and the non-sorting group(P＜0.05).There was no statistically significant difference in survival between the sorting group and the non-sorting group before matching.There were 112 and 203 patients with advanced gastric cancer in the two groups,respec-tively.The overall survival curve of patients in the sorting group was better than that in the non-sorting group,and the difference in median survival time was statistically significant(P＜0.05).The caliper value was set to 0.02,and 94 pairs of patients were preferentially matched.After matching,the total number of lymph nodes and the num-ber of positive lymph nodes in the sorting group were(24.71±12.03)and(5.70±9.95),respectively,while the total number and the number of positive lymph nodes in the non-sorting group were(13.05±7.63)and(3.37±4.32),respectively.The difference between the two groups was statistically significant(P＜0.05).The overall survival curve of patients in the sorting group was better than that in the non-sorting group,and the median survival time was statistically significant(P＜0.05).Conclusion Postoperative lymph node sorting for gastric cancer can significantly increase the number of total lymph nodes and positive lymph nodes,reduce lymph node migration,and improve postoperative survival time.

Objective:To explore the clinical phenotype and genetic characteristics of a Chinese pedigree affected with Spastic paraplegia type 5A (SPG5A).Methods:A pedigree suspected for Hereditary spastic paraplegia (HSP) at Henan Children′s Hospital on August 15 2022 was selected as the study subject. Clinical data of the pedigree was collected. Peripheral blood samples were collected from members of the pedigree. Following extraction of genomic DNA, trio-WGS was carried out, and candidate variant was verified by Sanger sequencing.Results:The child, a 1-year-old boy, had presented with microcephaly, hairy face and dorsal side of distal extremities and trunk, intellectual and motor development delay, increased muscle tone of lower limbs, hyperreflexes of bilateral knee tendons, and positive pathological signs. His parents and sister both had normal phenotypes. Trio-WGS revealed that the child has harbored a homozygous c. 1250G>A (p.Arg417His) variant of the CYP7B1 gene, for which his mother was heterozygous, the father and sister were of the wild type. The variant was determined to have originated from maternal uniparental disomy (UPD). The result of Sanger sequencing was in keeping with the that of trio-WGS. SPG5A due to maternal UPD of chromosome 8 was unreported previously. Conclusion:The child was diagnosed with SPG5A, a complex type of HSP, for which the homozygous c. 1250G>A variant of the CYP7B1 gene derived from maternal UPD may be accountable.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To explore the role and mechanism of P311 in the differentiation of mouse skin fibroblasts (Fbs) into myofibroblasts.Methods:The study was an experimental research. Six 2-day-old male C57BL/6 mouse were used to extract skin Fbs by enzymatic hydrolysis method and routinely cultured. The 1 st to 3 rd passage cells were taken and divided into empty vector group transfected with empty adenovirus and P311 group transfected with P311 high expression adenovirus, and P311+myocardin-related transcription factor A (MRTF-A) small interfering RNA (siMRTF-A) group transfected with P311 high expression adenovirus and siMRTF-A according to the random number table. After 72 h of culture, the cell proliferation vitality of cells in 3 groups was detected by cell counting kit 8, the protein expressions of MRTF-A, α-smooth muscle actin (α-SMA), and serum response factor (SRF) in cells in 3 groups were detected by Western blotting, the collagen gel contraction assay was performed and the 72 h gel contraction rates in 3 groups were calculated. The sample numbers in the above experiments were all 3. The protein expressions of MRTF-A and SRF in cells, cytoplasm, and nucleus in cells in empty vector group and P311 group were detected by Western blotting, with sample number of 4. Results:After 72 h of culture, the cell proliferation vitality of cells in empty vector group, P311 group, and P311+siMRTF-A group was similar ( P>0.05). After 72 h of culture, compared with those in empty vector group, the protein expressions of MRTF-A, α-SMA, and SRF in cells in P311 group were significantly increased ( P<0.05), while the protein expressions of MRTF-A and SRF in cells in P311+siMRTF-A group were significantly decreased ( P<0.05). Compared with those in P311 group, the protein expressions of MRTF-A, SRF, and α-SMA in cells in P311+siMRTF-A group were significantly decreased ( P<0.05). The 72 h gel contraction rate showing cell contractility in P311 group was (84.8±6.2)%, which was significantly higher than (27.8±2.6)% in empty vector group and (24.7±3.2)% in P311+siMRTF-A group (with P values all <0.05). The 72 h gel contraction rates in empty vector group and P311+siMRTF-A group were similar ( P>0.05). After 72 hours of culture, the protein expressions of MRTF-A (with t values of 5.86 and 3.77, respectively, P<0.05) and SRF (with t values of 3.95 and 3.97, respectively, P<0.05) in cells and cytoplasm in P311 group were significantly higher than those in empty vector group, while the protein expressions of MRTF-A and SRF in the nucleus of cells were similar between the two groups ( P>0.05). Conclusions:P311 can promote the differentiation of fibroblasts into myofibroblasts through MRTF-A, and then participate in scar formation.

BACKGROUND:Exercise as a viable non-pharmacological treatment has the potential to reverse skeletal muscle aging that deteriorates with age.The role of autophagy in the skeletal muscle aging process is indispensable.During skeletal muscle aging,Atg genes involved in regulating autophagy regulate the autophagic process in either a facilitative or inhibitory manner to improve the physiological morphology of skeletal muscle.However the specific molecular mechanisms of autophagy in the exercise regulation of skeletal muscle aging remain puzzling. OBJECTIVE:To search for general patterns of the effects of autophagic mechanisms on skeletal muscle aging during exercise through a review of articles in this field. METHODS:(1)CNKI and Web of Science were searched,reviewed,and screened for relevant literature using the keywords of"Atg genes(proteins),autophagy,exercise,and skeletal muscle aging"to lay the theoretical foundation for the full-text analysis.(2)The comparative analysis method was used to compare the similarities and differences among the included documents to provide reasonable theoretical support for the arguments.By the further comparative analysis of the literature,the relationship between relevant indicators was clarified,to provide the ideas for the full-text analysis. RESULTS AND CONCLUSION:Atg family-mediated autophagy is indispensable for delaying skeletal muscle aging.Atg genes involved in regulating autophagy regulate the autophagic process in either a facilitative or inhibitory manner to improve the physiological morphology and function of skeletal muscle.Different exercise patterns,such as age,time,or intensity at initiation,may have heterogeneous effects on the expression of autophagy-related proteins,but long-term aerobic exercise regulates Atg-related proteins,induces skeletal muscle autophagy,and delays the loss of muscle mass.