OBJECTIVE: This study aimed to investigate the prevalence of HIV pretreatment drug resistance (PDR) and the transmission clusters associated with PDR-related mutations in newly diagnosed, treatment-naive patients between 2020 and 2023 in Dehong prefecture, Yunnan province, China. METHODS: Demographic information and plasma samples were collected from study participants. PDR was assessed using the Stanford HIV Drug Resistance Database. The Tamura-Nei 93 model within HIV-TRACE was employed to compute pairwise matches with a genetic distance of 0.015 substitutions per site. RESULTS: Among 948 treatment-naive individuals with eligible sequences, 36 HIV subtypes were identified, with unique recombinant forms (URFs) being the most prevalent (18.8%, 178/948). The overall prevalence of PDR was 12.4% (118/948), and resistance to non-nucleotide reverse transcriptase inhibitors (NNRTIs), nucleotide reverse transcriptase inhibitors (NRTIs), and protease inhibitors (PIs) was 10.7%, 1.3%, and 1.6%, respectively. A total of 91 clusters were identified, among which eight showed evidence of PDR strain transmission. The largest PDR-associated cluster consisted of six CRF01_AE drug-resistant strains carrying K103N and V179T mutations; five of these individuals had initial CD4+ cell counts < 200 cells/μL. CONCLUSION The distribution of HIV subtypes in Dehong is diverse and complex. PDR was moderately prevalent (12.4%) between 2020 and 2023. Evidence of transmission of CRF01_AE strains carrying K103N and V179T mutations was found. Routine surveillance of PDR and the strengthening of control measures are essential to limit the spread of drug-resistance HIV strains.
Humans ; HIV Infections/virology* ; China/epidemiology* ; Drug Resistance, Viral ; Male ; Adult ; Female ; Middle Aged ; HIV-1/genetics* ; Anti-HIV Agents/therapeutic use* ; Myanmar/epidemiology* ; Young Adult ; Prevalence ; Adolescent ; Mutation

This review has introduced the Coronary Artery Tree description and Lesion EvaluaTion(CatLet or Hexu)angiographic scoring system,which,based solely on coronary angiography results,has characterized 6 types of right coronary artery,3 types of left descending artery,and 3 types of diagonal size,together resulting in 54 types of coronary circulation pattern.This novel angiographic scoring system can be utilized to account for coronary anatomy in its diversity,severity and complexity of diseased coronary arteries,and their subtended myocardial territories in jeopardy.The CatLet angiographic scoring system is unique in that the importance of a coronary artery is weighted according to its subtended myocardial segments,by which the variability of coronary artery has been accounted for and measured.Researchers at home and abroad have increasingly paid attention to its clinical utilities,which warrant further validation in the context of large sample size,prospective,and randomized controlled trials.The CatLet angiographic scoring system is accessible at www.catletscore.com.

This review has introduced the Coronary Artery Tree description and Lesion EvaluaTion(CatLet or Hexu)angiographic scoring system,which,based solely on coronary angiography results,has characterized 6 types of right coronary artery,3 types of left descending artery,and 3 types of diagonal size,together resulting in 54 types of coronary circulation pattern.This novel angiographic scoring system can be utilized to account for coronary anatomy in its diversity,severity and complexity of diseased coronary arteries,and their subtended myocardial territories in jeopardy.The CatLet angiographic scoring system is unique in that the importance of a coronary artery is weighted according to its subtended myocardial segments,by which the variability of coronary artery has been accounted for and measured.Researchers at home and abroad have increasingly paid attention to its clinical utilities,which warrant further validation in the context of large sample size,prospective,and randomized controlled trials.The CatLet angiographic scoring system is accessible at www.catletscore.com.

Objective:To evaluate the clinical efficacy of transoral robotic surgery (TORS) in the treatment of malignant tongue base tumors.Methods:A multicenter study was conducted to collect and analyze the clinical data of patients with malignant tongue base tumors who underwent TORS at five otolaryngology-head and neck surgery centers in China, including Eye Ear Nose and Throat Hospital of Fudan University, Sun Yat-sen University Cancer Center, Tongji Hospital of Huazhong University of Science and Technology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, and the First Affiliated Hospital of China Medical University between January 2017 and January 2023. Among the patients, 38 were males and 11 were females, with a mean age of 59.0±8.8 years. Baseline characteristics, complications, and follow-up data were compared between groups. Independent sample t-tests or Mann-Whitney U tests was used for comparisons of continuous variables; chi-square tests or Fisher′s exact tests was applied for categorical variables. Survival analysis was performed using the Kaplan-Meier method to calculate overall survival and disease-free survival, and differences between groups were compared using the log-rank test. Results:Among the 49 patients, 41 (83.7%) were diagnosed with squamous cell carcinoma (SCC), with a p16 positive rate of 51.2% (21/41). There were no statistically significant differences between the p16-positive group ( n=21) and the p16-negative group ( n=20) in age, sex, or postoperative bleeding (all P>0.05). However, there was a significant difference in TNM stage between the two groups ( χ2=14.556, P=0.020), with the p16-positive group predominantly in stage I (66.7%) and the p16-negative group primarily in stages Ⅲ and Ⅳ (40.0% and 30.0%, respectively). The postoperative tracheotomy rate was 30.6% (15/49), and the incidence of postoperative bleeding was 6.1% (3/49). The 1-year and 3-year overall survival rates were 98.0% and 92.5%, respectively, while, the 1-year and 3-year disease-free survival rates were 89.2% and 84.9%, respectively. No significant differences were observed between the p16-positive and p16-negative groups in 3-year overall survival (100% vs. 83.8%, χ2=1.093, P=0.518) or 3-year disease-free survival (68.2% vs. 88.9%, χ2=2.161, P=0.382). Conclusion:TORS for malignant tongue base tumors demonstrates high clinical safety and favorable oncological outcomes.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Objective:To compare the differences among four routine lipid testing systems in detecting high triglyceride (TG) serum samples and evaluate the accuracy and consistency of the four homogeneous low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) reagents using vertical auto profile (VAP) as the reference method.Methods:A retrospective study was conducted on 249 serum samples with elevated TG levels collected from the Department of Laboratory Medicine at the Second Xiangya Hospital of Central South University between January and October 2024. TG, total cholesterol (TC), LDL-C, and HDL-C were measured using four homogeneous detection systems: Beckman Coulter (USA), Wako Pure Chemical Industries (Japan), Mindray (China), and Roche Diagnostics (Germany). VAP was used to analyze lipoprotein subfractions, including very-low-density lipoprotein cholesterol (VLDL-C), intermediate-density lipoprotein cholesterol (IDL-C), LDL-C, lipoprotein(a) cholesterol [Lp(a)-C], and HDL-C. The mean coefficient of variation ( CV) across the four systems was calculated for each parameter. Pearson correlation and ordinal logistic regression (OLR) were used to assess correlations between the four HDL-C/LDL-C systems and VAP. Bland-Altman plots were generated to evaluate biases, and deviations were calculated. For parameters with significant deviations, multivariate linear regression and standardized coefficients were used to analyze correlations between biases and lipoprotein subfractions. Based on the Chinese Guidelines for Lipid Management (2023), LDL-C and non-HDL-C treatment goals were categorized into five risk levels (ultra-high, high, moderate, high-risk, and low-risk). VAP results defined LDL-C/non-HDL-C intervals, and the four systems′ concordance in risk classification was evaluated. Samples were grouped into A, B, C, D ( n=63, 62, 62, 62) by TG concentration, and ANOVA, chi-square, and Fisher exact tests assessed intergroup differences. Results:The mean CVs across systems for TG, TC, LDL-C, HDL-C, and non-HDL-C were 2.98%, 1.76%, 18.10%, 5.60%, 2.58%, respectively. Pearson correlations between LDL-C results (Beckman, Wako, Mindray, Roche) and VAP were 0.889, 0.854, 0.899, and 0.973; mean relative deviations were 54.8%, 41.0%, 49.3%, and 3.6%; classification accuracies were 6.0% (15/249), 21.3% (53/249), 9.2% (23/249), and 76.7% (191/249). HDL-C deviations were 18.7%, 15.1%, 11.1%, and 8.7%, with correlations ( r) of 0.883, 0.911, 0.959, and 0.950 (all P<0.001). LDL-C means showed no intergroup differences (A-D), but CV increased with TG levels ( P<0.001). HDL-C means and CVs showed no significant intergroup differences. Beckman, Wako, and Mindray LDL-C results exhibited significant positive biases correlated with TG and VLDL-C (multivariate regression; P<0.05); VLDL-C had the strongest influence (standardized coefficients: 0.820, 0.394, 0.813; P<0.001). Non-HDL-C classifications matched VAP in 92.4% (Beckman), 85.9% (Wako), 94.0% (Mindray), and 93.2% (Roche), with no intergroup differences. Conclusion:For high-TG sera, Beckman, Wako, and Mindray LDL-C exhibited significant positive biases correlated with TG and VLDL-C, while Roche LDL-C showed minimal deviation. TG, TC, HDL-C, and non-HDL-C results showed minimal variation across the four systems. All systems demonstrated comparable accuracy for non-HDL-C compared to VAP. The non-HDL-C measured by the four detection systems demonstrates high accuracy and consistency in atherosclerotic cardiovascular disease risk stratification and lipid-lowering goal assessment, and it is unaffected by TG levels.

Objective:To compare the differences among four routine lipid testing systems in detecting high triglyceride (TG) serum samples and evaluate the accuracy and consistency of the four homogeneous low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) reagents using vertical auto profile (VAP) as the reference method.Methods:A retrospective study was conducted on 249 serum samples with elevated TG levels collected from the Department of Laboratory Medicine at the Second Xiangya Hospital of Central South University between January and October 2024. TG, total cholesterol (TC), LDL-C, and HDL-C were measured using four homogeneous detection systems: Beckman Coulter (USA), Wako Pure Chemical Industries (Japan), Mindray (China), and Roche Diagnostics (Germany). VAP was used to analyze lipoprotein subfractions, including very-low-density lipoprotein cholesterol (VLDL-C), intermediate-density lipoprotein cholesterol (IDL-C), LDL-C, lipoprotein(a) cholesterol [Lp(a)-C], and HDL-C. The mean coefficient of variation ( CV) across the four systems was calculated for each parameter. Pearson correlation and ordinal logistic regression (OLR) were used to assess correlations between the four HDL-C/LDL-C systems and VAP. Bland-Altman plots were generated to evaluate biases, and deviations were calculated. For parameters with significant deviations, multivariate linear regression and standardized coefficients were used to analyze correlations between biases and lipoprotein subfractions. Based on the Chinese Guidelines for Lipid Management (2023), LDL-C and non-HDL-C treatment goals were categorized into five risk levels (ultra-high, high, moderate, high-risk, and low-risk). VAP results defined LDL-C/non-HDL-C intervals, and the four systems′ concordance in risk classification was evaluated. Samples were grouped into A, B, C, D ( n=63, 62, 62, 62) by TG concentration, and ANOVA, chi-square, and Fisher exact tests assessed intergroup differences. Results:The mean CVs across systems for TG, TC, LDL-C, HDL-C, and non-HDL-C were 2.98%, 1.76%, 18.10%, 5.60%, 2.58%, respectively. Pearson correlations between LDL-C results (Beckman, Wako, Mindray, Roche) and VAP were 0.889, 0.854, 0.899, and 0.973; mean relative deviations were 54.8%, 41.0%, 49.3%, and 3.6%; classification accuracies were 6.0% (15/249), 21.3% (53/249), 9.2% (23/249), and 76.7% (191/249). HDL-C deviations were 18.7%, 15.1%, 11.1%, and 8.7%, with correlations ( r) of 0.883, 0.911, 0.959, and 0.950 (all P<0.001). LDL-C means showed no intergroup differences (A-D), but CV increased with TG levels ( P<0.001). HDL-C means and CVs showed no significant intergroup differences. Beckman, Wako, and Mindray LDL-C results exhibited significant positive biases correlated with TG and VLDL-C (multivariate regression; P<0.05); VLDL-C had the strongest influence (standardized coefficients: 0.820, 0.394, 0.813; P<0.001). Non-HDL-C classifications matched VAP in 92.4% (Beckman), 85.9% (Wako), 94.0% (Mindray), and 93.2% (Roche), with no intergroup differences. Conclusion:For high-TG sera, Beckman, Wako, and Mindray LDL-C exhibited significant positive biases correlated with TG and VLDL-C, while Roche LDL-C showed minimal deviation. TG, TC, HDL-C, and non-HDL-C results showed minimal variation across the four systems. All systems demonstrated comparable accuracy for non-HDL-C compared to VAP. The non-HDL-C measured by the four detection systems demonstrates high accuracy and consistency in atherosclerotic cardiovascular disease risk stratification and lipid-lowering goal assessment, and it is unaffected by TG levels.

Objective:To evaluate the clinical efficacy of transoral robotic surgery (TORS) in the treatment of malignant tongue base tumors.Methods:A multicenter study was conducted to collect and analyze the clinical data of patients with malignant tongue base tumors who underwent TORS at five otolaryngology-head and neck surgery centers in China, including Eye Ear Nose and Throat Hospital of Fudan University, Sun Yat-sen University Cancer Center, Tongji Hospital of Huazhong University of Science and Technology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, and the First Affiliated Hospital of China Medical University between January 2017 and January 2023. Among the patients, 38 were males and 11 were females, with a mean age of 59.0±8.8 years. Baseline characteristics, complications, and follow-up data were compared between groups. Independent sample t-tests or Mann-Whitney U tests was used for comparisons of continuous variables; chi-square tests or Fisher′s exact tests was applied for categorical variables. Survival analysis was performed using the Kaplan-Meier method to calculate overall survival and disease-free survival, and differences between groups were compared using the log-rank test. Results:Among the 49 patients, 41 (83.7%) were diagnosed with squamous cell carcinoma (SCC), with a p16 positive rate of 51.2% (21/41). There were no statistically significant differences between the p16-positive group ( n=21) and the p16-negative group ( n=20) in age, sex, or postoperative bleeding (all P>0.05). However, there was a significant difference in TNM stage between the two groups ( χ2=14.556, P=0.020), with the p16-positive group predominantly in stage I (66.7%) and the p16-negative group primarily in stages Ⅲ and Ⅳ (40.0% and 30.0%, respectively). The postoperative tracheotomy rate was 30.6% (15/49), and the incidence of postoperative bleeding was 6.1% (3/49). The 1-year and 3-year overall survival rates were 98.0% and 92.5%, respectively, while, the 1-year and 3-year disease-free survival rates were 89.2% and 84.9%, respectively. No significant differences were observed between the p16-positive and p16-negative groups in 3-year overall survival (100% vs. 83.8%, χ2=1.093, P=0.518) or 3-year disease-free survival (68.2% vs. 88.9%, χ2=2.161, P=0.382). Conclusion:TORS for malignant tongue base tumors demonstrates high clinical safety and favorable oncological outcomes.

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.

Glutamate-ammonia ligase (GLUL, also known as glutamine synthetase) is a crucial enzyme that catalyzes ammonium and glutamate into glutamine in the ATP-dependent condensation. Although GLUL plays a critical role in multiple cancers, the expression and function of GLUL in gastric cancer remain unclear. In the present study, we have found that the expression level of GLUL was significantly lower in gastric cancer tissues compared with adjacent normal tissues, and correlated with N stage and TNM stage, and low GLUL expression predicted poor survival for gastric cancer patients. Knockdown of GLUL promoted the growth, migration, invasion and metastasis of gastric cancer cells in vitro and in vivo, and vice versa, which was independent of its enzyme activity. Mechanistically, GLUL competed with β-Catenin to bind to N-Cadherin, increased the stability of N-Cadherin and decreased the stability of β-Catenin by alerting their ubiquitination. Furthermore, there were lower N-Cadherin and higher β-Catenin expression levels in gastric cancer tissues compared with adjacent normal tissues. GLUL protein expression was correlated with that of N-Cadherin, and could be the independent prognostic factor in gastric cancer. Our findings reveal that GLUL stabilizes N-Cadherin by antagonizing β-Catenin to inhibit the progress of gastric cancer.