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

Objective: To explore the heterogeneity and correlation of clinical phenotypes and genotypes in children with disorders of sex development (DSD). Methods: A retrospective study of 1 235 patients with clinically proposed DSD in 36 pediatric medical institutions across the country from January 2017 to May 2021. After capturing 277 DSD-related candidate genes, second-generation sequencing was performed to analyzed the heterogeneity and correlation combined with clinical phenotypes. Results: Among 1 235 children with clinically proposed DSD, 980 were males and 255 were females of social gender at the time of initial diagnosis with the age ranged from 1 day of age to 17.92 years. A total of 443 children with pathogenic variants were detected through molecular genetic studies, with a positive detection rate of 35.9%. The most common clinical phenotypes were micropenis (455 cases), hypospadias (321 cases), and cryptorchidism (172 cases) and common mutations detected were in SRD5A2 gene (80 cases), AR gene (53 cases) and CYP21A2 gene (44 cases). Among them, the SRD5A2 mutation is the most common in children with simple micropenis and simple hypospadias, while the AMH mutation is the most common in children with simple cryptorchidism. Conclusions: The SRD5A2 mutation is the most common genetic variant in Chinese children with DSD, and micropenis, cryptorchidism, and hypospadias are the most common clinical phenotypes. Molecular diagnosis can provide clues about the biological basis of DSD, and can also guide clinicians to perform specific clinical examinations. Target sequence capture probes and next-generation sequencing technology can provide effective and economical genetic diagnosis for children with DSD.
3-Oxo-5-alpha-Steroid 4-Dehydrogenase/genetics* ; Child ; China/epidemiology* ; Cryptorchidism/genetics* ; Disorders of Sex Development/genetics* ; Female ; Genital Diseases, Male ; Genotype ; Humans ; Hypospadias/genetics* ; Male ; Membrane Proteins/genetics* ; Penis/abnormalities* ; Phenotype ; Retrospective Studies ; Steroid 21-Hydroxylase/genetics*

Objective To study and analyze the theory, policy framework, and core content of physical activity policies and physical activity guidelines. Methods Using a policy research and content analysis approach and the theory of the six components of World Health Organization (WHO) health service system, we specifically analyze the theory, framework, and core content of WHO Global Action Plan on Physical Activity and WHO Physical Activity Guidelines. Results The Global Plan of Action for Physical Activity 2018-2030 (Action Plan) is an international policy document on physical activity issued by WHO that incorporates physical activity within the context of the seven principles of human rights, the life span, evidence-based practice, proportional universality, policy coherence and integration of health into all policies, participation and empowerment, and multisectoral partnerships into health services and social development. The Action Plan consists of four strategic objectives and 20 policy actions, covering six areas of WHO health service system, and the integration of physical activity policies into health services is of great importance in promoting the achievement of the United Nations Sustainable Development Goal 3 of universal health coverage. As a technical document for the implementation of the Action Plan, 2020 WHO Guidelines on Physical Activity and Sedentary Behavior (Guidelines) adopted the PI/ECO approach to analyze the physical activity needs of various groups of people, and provide guidelines to increase physical activity and reduce sedentary behavior for children and adolescents, adults, older adults, pregnant and postpartum women, people with chronic diseases and people with disabilities. The guidelines cover duration, frequency, and intensity of physical activity, types of physical activity, critical and important health outcomes of physical activity, and health risk prevention and related considerations. The Guidelines implement the relevant guiding principles of the Action Plan and aim to improve overall population participation in physical activity at the micro level and improve critical and important health outcomes for the overall population. Conclusion As a health and development strategy, the Action Plan promotes the integration of physical activity into the health delivery system to facilitate the achievement of the United Nations 2030 Sustainable Development Goal 3 of universal health coverage.The four strategic objectives and 20 policy actions of the Action Plan can be integrated into these six areas based on the six components of WHO Health Service Delivery System: leadership and governance, financing, human resources, service delivery, medical technology, and health information. As a technical document to implement the Action Plan, the Guidelines are based on the PI/ECO approach framework and provide guidance on increasing physical activity and reducing sedentary behavior for children and adolescents, adults, older adults, pregnant and postpartum women, chronic patients, and persons with disabilities. The core content addresses the target populations, duration, frequency, and intensity of physical activity, types of physical activity, critical and important health outcomes of physical activity, and health risk prevention and related considerations.

Objective: The relationship between serum uric acid (SUA) levels and glycemic indices, including plasma glucose (FPG), 2-hour postload glucose (2h-PG), and glycated hemoglobin (HbA1c), remains inconclusive. We aimed to explore the associations between glycemic indices and SUA levels in the general Chinese population. Methods: The current study was a cross-sectional analysis using the first follow-up survey data from The China Cardiometabolic Disease and Cancer Cohort Study. A total of 105,922 community-dwelling adults aged ≥ 40 years underwent the oral glucose tolerance test and uric acid assessment. The nonlinear relationships between glycemic indices and SUA levels were explored using generalized additive models. Results: A total of 30,941 men and 62,361 women were eligible for the current analysis. Generalized additive models verified the inverted U-shaped association between glycemic indices and SUA levels, but with different inflection points in men and women. The thresholds for FPG, 2h-PG, and HbA1c for men and women were 6.5/8.0 mmol/L, 11.0/14.0 mmol/L, and 6.1/6.5, respectively (SUA levels increased with increasing glycemic indices before the inflection points and then eventually decreased with further increases in the glycemic indices). Conclusion An inverted U-shaped association was observed between major glycemic indices and uric acid levels in both sexes, while the inflection points were reached earlier in men than in women.
Aged ; Asian Continental Ancestry Group ; Blood Glucose/analysis* ; China/epidemiology* ; Cohort Studies ; Diabetes Mellitus/blood* ; Female ; Glucose Tolerance Test ; Glycated Hemoglobin A/analysis* ; Glycemic Index ; Humans ; Male ; Middle Aged ; Uric Acid/blood*

Objective: To investigate the independent risk factors of cardiorenal syndrome type 1 (CRS1) in patients with acute myocardial infarction (AMI) and to build a predictive equation for the development of CRS1 in these patients. Method: Consecutive inpatients with AMI, who hospitalized from January 2017 to December 2018 in the Hunan Provincial People's Hospital, were enrolled in this case-control study. Patients were divided into CRS1 group and non-CRS1 group according to the presence or absence of CRS1.The clinical data were collected through the electronic medical record system of Hunan Provincial People's Hospital. The matching process was conducted with a minimum-distance scoring method and a 1∶1 match between the CRS1 group and the no-CRS1 group, the propensity score was calculated through the logistic regression model. Factors with statistically significant differences in univariate analysis were included in the multivariate logistic regression model to analyze the risk factors of AMI patients with CRS1, then the independent risk factors were used to establish a predicting equation for CRS1 by logistic regression function for model building. Area under the curve (AUC) value and the best cut-off value of the combined predictors was determined according to the ROC curve. Python 3.8 software was used to perform 10-fold cross-validation on modeling samples. Results: A total of 942 patients were included, there were 113 cases in CRS1 group and 829 cases in non-CRS1 group. Ultimately, 99 CRS1 patients were successfully matched to 99 non-CRS1 patient using 1∶1 matching. After propensity score matching, the baseline age and sex along with heart rate, mean arterial pressure, percentage of people with a history of diabetes, hypertension, ST-segment elevation myocardial infarction, myocardial ischemia time, angiotensin converting enzyme inhibitors or angiotensin Ⅱ receptor blockers use, and β receptor blocker use were similar between the two groups(all P>0.05). The contrast agent dosage was also similar between the two groups (P=0.266). The peak cardiac troponin I (cTnI), N-terminal pro-brain natriuretic peptide(NT-proBNP), white blood cell count, base estimated glomerular filtration rate (eGFR), albumin and hemoglobin levels were statistically significant between the two groups (all P<0.05). Multivariate logistic regression analysis showed that decreased baseline eGFR, increased NT-proBNP, peak cTnI concentrations and white blood cell count were independent risk factors of CRS1 in AMI patients (all P<0.01).The predicting equation of the combined predictor was established by transforming the logistic model equation, L=0.031×cTnI+0.000 2×NT-proBNP-0.024×eGFR+0.254×white blood cell count, where L represented the combined predictor. ROC curve analysis indicated that the AUC of the peak cTnI, NT-proBNP, baseline eGFR, white blood cell count, and combined predictor were 0.76, 0.85, 0.79, 0.81, and 0.92 respectively (all P<0.05), and the cutoff value of combined predictor was 2.6. The AUC of ROC curve after the model's ten-fold cross validation was 0.89. Conclusions: Decreased baseline eGFR, increased NT-proBNP, peak cTnI concentrations and white blood cell count are the independent risk factors for CRS1 in AMI patients. The combined predictor equation based on the above 4 biomarkers presents a good predictive value for CRS1 in AMI patients.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

Purpose: Triple-negative breast cancer (TNBC) is highly malignant and has poor prognosis and a high mortality rate. The lack of effective therapy has spurred our investigation of new targets for treating this malignant cancer. Here, we identified RON (macrophage-stimulating 1 receptor) and MET (MET proto-oncogene, receptor tyrosine kinase) as a prognostic biomarker and therapeutic targets for potential TNBC treatment. Materials and Methods: We analyzed RON and MET expression in 187 primary TNBC clinical samples with immunohistochemistry. We validated the targeted therapeutic effects of RON and MET in TNBC using three tyrosine kinase inhibitors (TKIs): BMS-777607, INCB28060, and tivantinib. The preclinical therapeutic efficacy of the TKIs was mainly estimated using a TNBC xenograft model. Results: Patients with TNBC had widespread, abnormal expression of RON and MET. There was RON overexpression, MET overexpression, and RON and MET co-overexpression in 63 (33.7%), 63 (33.7%), and 43 cases (23.0%), respectively, which had poor prognosis and short survival. In vivo, the TKI targeting RON ant MET inhibited the activation of the downstream signaling molecules, inhibited TNBC cell migration and proliferation, and increased TNBC cell apoptosis; in the xenograft model, they significantly inhibited tumor growth and shrank tumor volumes. The TKI targeting RON and Met, such as BMS-777607 and tivantinib, yielded stronger anti-tumor effects than INCB28060. Conclusion RON and MET co-overexpression can be significant pathological characteristics in TNBC for poor prognosis. TKIs targeting RON and MET have stronger drug development potential for treating TNBC.

Objective To explore the features of connected speech produced by Chinese mild Alzheimer's disease (AD) patients.Methods Thirty Chinese mild AD patients (eight males and 22 females,and the age was (72.73 ± 7.78) years) and 30 age and education matched normal controls from three communities were recruited in Xuanwu Hospital from January 2018 to May 2018.All subjects completed tasks of picture naming,semantic fluency (animal),and Cookie Theft picture description.Picture description was analyzed for speech production (total word output,speech rate,sound errors),lexical content (number of nouns and verbs,proportion of pronouns and verbs,semantic errors),information content (information unit,idea density,efficiency),syntactic structure and complexity (mean length of utterance,words in sentences,syntactic errors).Differences between groups were calculated.Association between picture naming,semantic fluency,and measures in picture descriptions was analyzed.Results Compared with the controls,mild AD patients achieved lower scores on the picture naming task (74.45±8.04 vs 79.60± 1.73,t=-2.800,P=0.010) as well as on the semantic fluency task (10.35±3.08 vs 18.50±4.66,t=-6.520,P＜0.01) and produced lower speech rate (131.80±36.40 vs 149.64±26.69,t=-2.095,P=0.041),less number of nouns (7.52±2.55 vs 9.67±3.58,t=-2.509,P=-0.015) and verbs (4.40±2.24 vs 5.73±1.92,t=-2.375,P=0.021),increased proportion of pronouns (0.286 (0.319) vs 0.039 (0.122),Z=3.602,P＜0.01) and semantic errors (0.629 (1.396) vs 0 (0.779),Z=2.386,P=0.017),less information units (11.00±3.63 vs 13.70±3.53,t=-2.787,P=0.007),decreased idea density (0.11±0.04 vs 0.16±0.05,t=-3.946,P＜0.01),decreased efficiency (14.23±7.56 vs 22.95±7.14,t=-4.738,P＜0.01),shorter mean length of utterance (6.64± 1.27 vs 8.25± 1.70,t=-3.928,P＜0.01),and less words in sentence (0.84±0.10 vs 0.95±0.06,t=-4.625,P＜0.01).Group differences in total word output,sound errors,proportion of verbs,and syntactic errors did not reach statistical significance.Scores on picture naming task were negatively associated with the proportion of pronouns (r=-0.737,P=0.003),and positively associated with the idea density (r=0.540,P=0.046) and efficiency (r=0.592,P=0.026) in the AD group.Scores on semantic fluency task were negatively associated with the proportion of pronouns (r=-0.554,P=0.011).Conclusions Connected speech in mild AD patients was characterized by decreased naming accuracy,decreased sematic fluency,decreased content words,information units,conciseness,efficiency,and syntactic complexity,but motoric aspects of speech and sentence structure remained relatively preserved.Decreased content words and increased pronouns in mild AD may relate to semantic impairment.

To systematically evaluate the risks of cardiocerebral vascular events in patients with primary biliary cholangitis(PBC). Methods We carried out a Meta analysis by RevMan 5.3 software to investigate literatureon the risk of cardiocerebral vascular events in patients with PBC and controls. Results Compared with non-PBC controls,PBC patients had significantly higher risk of coronary events(=1.56,=0.0002);however,the risk of cerebrovascular events showed no significant difference between these two groups(=1.01,=0.94).Subgroup analysis demonstrated a significantly lower risk of transient ischemic attack or carotid stenosis in PBC patients(=0.63,=0.03);however,there was no significant difference in the risk of stroke(=1.11,=0.40). Conclusion Patients with PBC have an increased risk of coronary events but may have a lower risk of transient ischemic attack or carotid stenosis.
Carotid Stenosis ; etiology ; Cholangitis ; complications ; Coronary Disease ; etiology ; Humans ; Ischemic Attack, Transient ; etiology ; Liver Cirrhosis, Biliary ; complications ; Risk Factors ; Stroke ; etiology