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.

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.

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.

BACKGROUND:Aging is an irreversible process that is characterized by genes,diet and environment.As a central regulator of growth and development,mammalian target of rapamycin(mTor)can regulate the negative effects caused by aging,exercise and poor diet,which are correlated with the activity of mTor and its complexes.However,the relationship between these factors,such as mTor and the effect of exercise on aging,is still unclear. OBJECTIVE:To study the relationship between exercise,high fat/high salt diet and mTor in aging,so as to have a more comprehensive understanding of the prevention and treatment mechanism of aging. METHODS:(1)Literature retrieval was conducted in the core database of Web of Science and CNKI,using the keywords of"mTor gene,exercise,high fat/high salt diet,aging,"thereby providing theoretical support for this review.(2)Comparative analysis provided a theoretical basis for this thesis by carefully reading the obtained effective literature and comparing the differences among various literatures.(3)Through the comparative analysis of similarities and differences between the included articles,we could define each index and their relationship,so as to clarify the ideas of this review. RESULTS AND CONCLUSION:mTor is closely related to aging.Through the literature analysis,we believe that two complexes of mTor,mTorC1 and mTorC2,play important roles in aging,exercise and skeletal muscle growth and development.In addition,mTor-mediated S6K1,Akt,FOXO,and 4E-BP1 signaling pathways are strongly associated with exercise,high-fat diet,high-salt diet,and skeletal muscle/heart aging.

BACKGROUND:Studies have shown that both Panax notoginseng saponins and concentrated growth factor can promote fracture healing,but there are few studies addressing their combined effects on fracture healing.Panax notoginseng saponins may accelerate fracture healing by promoting the release of concentrated growth factor-related factors over a certain period of time. OBJECTIVE:To study the effect of Panax notoginseng saponins on concentrated growth factor release and fracture healing in rats. METHODS:Eighteen 8-week-old Sprague-Dawley rats were numbered and randomly divided into three groups:Panax notoginseng saponins group,model control group and blank group.Panax notoginseng saponins group was fed with Panax notoginseng saponins for 2 weeks.Model control group was given 2 mL of normal saline for 2 weeks and blank group was fed normally.Concentrated growth factor was obtained by the centrifugation method both from the Panax notoginseng saponins group and model control group.After 1 week of normal feeding,all animals underwent modeling for femoral fracture.The Panax notoginseng saponins group and the model control group were implanted with autologous concentrated growth factor,and then the release concentration of growth factors at different time points(1 hour,1,3,5,7,9 and 11 days)were measured by ELISA.Fracture healing was assessed based on postoperative X-ray and hematoxylin-eosin staining of bone tissues. RESULTS AND CONCLUSION:Compared with the model control group,the Panax notoginseng saponins group had higher release concentrations of vascular endothelial growth factor A and transforming growth factor β at 7,9,and 11 days,Platelet-derived growth factor BB at 5,9,and 11 days,and basic fibroblast growth factor at 1-11 days(P<0.01).X-ray examinations indicated that fracture healing in the Panax notoginseng saponins group was better than that in the model control group,and fracture healing in these two groups was better than that in the blank group at 2 months after surgery.Hematoxylin-eosin staining results found that the constituent osteocyte density in the Panax notoginseng saponins group was greater than that in the model control group,and the constituent osteocyte density in these two groups was better than that in the blank group.These findings indicate that Panax notoginseng saponins can increase the concentration of concentrated growth factor-related factors.After intervention with Panax notoginseng saponins,concentrated growth factors are more advantageous in promoting fracture healing in rats.

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.