Objective Exploring genetic differences among geographic strains of Anopheles sinensis in China. Methods Based on the mitochondrial cytochrome oxidase subunit I(COⅠ )and ribosomal the second internal transcribed spacer(ITS2), genetic distance analyses were conducted on An. sinensis samples collected nationwide. Results Genetic differentiation was observed within An. sinensis geographic strains, primarily reflected in the genetic distances of COⅠ sequences, with some distances between samples exceeding those between closely related species. However, ITS2 sequences showed relatively low levels of differentiation within geographic strains. No significant separation was observed, and gene exchange exhibited a random pattern among geographic strains. Conclusions Significant differences in genetic distance were observed among An. sinensis samples, along with evidence of interspecific continuity among sibling species. For the identification of closely related species using wild-collected Anopheles mosquitoes samples, reliance solely on commonly used barcodes such as COⅠ and ITS2 may be insufficient. Additional molecular markers, including COⅡ and D3 gene fragments, should also be considered. Caution should be exercised when using COⅠ genes to identify cryptic species, especially within Anopheles mosquitoes.

Objective To observe the value of portal venous phase CT radiomics model based on machine learning(ML)for predicting postoperative complications of hepatic alveolar echinococcosis(HAE).Methods Totally 265 HAE patients were retrospectively enrolled and randomly divided into training set(n=185,including 106 cases with postoperative complications)and validation set(n=80,including 40 cases with postoperative complications)at a ratio of 7∶3.Based on portal venous phase CT images,HAE lesions were segmented,and radiomics features were extracted and screened.Totally 5 ML algorithms were used to construct models,and their performance for predicting postoperative complications were compared.Results Among 5 ML radiomics models,support vector machine(SVM)model had the best overall performance for predicting postoperative complications of HAE in both training and validation sets.DeLong test showed that in training set,the area under the curve(AUC)of SVM model was significantly higher than that of logistic regression(LR),K-nearest neighbor(KNN)and multilayer perceptron(MLP)models(all P＜0.001),while in validation set,the AUC of SVM model was significantly higher than that of adaptive boosting(AdaBoost)model(P=0.007).Decision curve analysis indicated that SVM model had the highest clinical net benefit.Conclusion Portal venous phase CT radiomics model based on ML algorithms,especially SVM algorithm,could effectively predict postoperative complications of HAE.

Decabromodiphenyl ether(BDE-209)and decabromodiphenyl ethane(DBDPE)are widely used brominated flame retardants,which have been detected in the atmosphere,water,soil,and various organisms.In this study,a method based on high-performance liquid chromatography-inductively coupled plasma-mass spectrometry(HPLC-ICP-MS)was developed for determination of BDE-209 and DBDPE in sediment.Firstly,the target compounds in the sediments were extracted by accelerated solvent extraction(ASE),and the extraction solvent was hexane/dichloromethane(1∶1,V/V).The extract was concentrated by rotary evaporation and purified by a composite silica gel column(6 g neutral silica gel,8 g acidic silica gel,and 4 g anhydrous sodium sulfate),concentrated by nitrogen blowing,and then re-dissolved with 1 mL of toluene for instrumental determination.The chromatographic separation was carried out on a TC-C18(2)column(250 mm×4.6 mm)with isocratic elution using methanol-isopropanol-water(89∶6∶5,V/V)as the mobile phase,and the samples were separated within 20 min.Further,the Br element was quantified by ICP-MS to realize the detection of the target.The results showed that the method established in this study exhibited good linearity(R2>0.999)in the range of 100-10000 ng/mL,and the limits of quantification(LOQs)of the method were 2.0 ng/g for BDE-209 and 10.0 ng/g for DBDPE,with the relative standard deviations(RSDs,n=3)lower than 10%,and the recoveries were in the acceptable range(80.9%-120.7%).The matrix effect was effectively controlled within 10%.In addition,by analyzing the actual sediment samples from Guangxi,a background point,and Taizhou,Zhejiang,a typical contaminated area,it was found that neither BDE-209 nor DBDPE was detected in the sediment from Guangxi,while the concentrations of BDE-209 and DBDPE in the sediment from Zhejiang ranged from 1591.8 to 3362.9 ng/g,which further demonstrated the applicability and reliability of the method for analyzing actual environmental samples.This study provided a strong technical support for the accurate detection of POPs in the environment.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To observe the value of portal venous phase CT radiomics model based on machine learning(ML)for predicting postoperative complications of hepatic alveolar echinococcosis(HAE).Methods Totally 265 HAE patients were retrospectively enrolled and randomly divided into training set(n=185,including 106 cases with postoperative complications)and validation set(n=80,including 40 cases with postoperative complications)at a ratio of 7∶3.Based on portal venous phase CT images,HAE lesions were segmented,and radiomics features were extracted and screened.Totally 5 ML algorithms were used to construct models,and their performance for predicting postoperative complications were compared.Results Among 5 ML radiomics models,support vector machine(SVM)model had the best overall performance for predicting postoperative complications of HAE in both training and validation sets.DeLong test showed that in training set,the area under the curve(AUC)of SVM model was significantly higher than that of logistic regression(LR),K-nearest neighbor(KNN)and multilayer perceptron(MLP)models(all P＜0.001),while in validation set,the AUC of SVM model was significantly higher than that of adaptive boosting(AdaBoost)model(P=0.007).Decision curve analysis indicated that SVM model had the highest clinical net benefit.Conclusion Portal venous phase CT radiomics model based on ML algorithms,especially SVM algorithm,could effectively predict postoperative complications of HAE.

Objective:To explore the effects of hydroxychloroquine(HCQ)on immune mediators dysregulation in severe infection after chemotherapy in acute myeloid leukemia(AML)and its molecular mechanism.Methods:Bone marrow or peripheral blood samples of 36 AML patients with severe infection(AML-SI)and 29 AML patients without infection(AML-NI)after chemotherapy were collected from the First Affiliated Hospital of Gannan Medical University from August 2022 to June 2023.In addition,the peripheral blood of 21 healthy subjects from the same period in our hospital was selected as the control group.The mRNA expressions of CXCL12,CXCR4 and CXCR7 were detected by RT-qPCR technology,and the levels of IL-6,IL-8 and TNF-α were detected by ELISA.Leukemia-derived THP-1 cells were selected and constructed as AML disease model.At the same time,bone marrow mesenchymal stem cells(BM-MSCs)from AML-SI patients were co-cultured with THP-1 cells and divided into Mono group and Co-culture group.THP-1 cells were treated with different concentration gradients of HCQ.The cell proliferation activity was subsequently detected by CCK-8 method and apoptosis was detected by Annexin V/PI double staining flow cytometry.ELISA was used to detect the changes of IL-6,IL-8 and TNF-α levels in the supernatant of the cell co-culture system,RT-qPCR was used to detect the mRNA expression changes of the core members of the CXCL12-CXCR4/7 regulatory axis,and Western blot was used to detect the expressions of apoptosis regulatory molecules and related signaling pathway proteins.Results:CXCL12,CXCR4,CXCR7,as well as IL-6,IL-8,and TNF-α were all abnormally increased in AML patients,and the increases were more significant in AML-SI patients(P＜0.01).Furthermore,there were statistically significant differences between AML-NI patients and AML-SI patients(all P＜0.05).HCQ could inhibit the proliferation and induce the apoptosis of THP-1 cells,but the low concentration of HCQ had no significant effect on the killing of THP-1 cells.When THP-1 cells were co-cultured with BM-MSCs of AML patients,the levels of IL-6,IL-8 and TNF-α in the supernatance of Co-culture group were significantly higher than those of Mono group(all P＜0.01).After HCQ intervention,the levels of IL-6,IL-8 and TNF-α in cell culture supernatant of Mono group were significantly decreased compared with those before intervention(all P＜0.01).Similarly,those of Co-culture group were also significantly decreased(all P＜0.001).However,the expression of the core members of the CXCL12-CXCR4/7 regulatory axis was weakly affected by HCQ.HCQ could up-regulate the expression of pro-apoptotic protein Bax,down-regulate the expression of anti-apoptotic protein Bcl-2,as well as simultaneously promote the hydrolytic activation of Caspase-3 when inhibiting the activation level of TLR4/NF-κ B pathway,then induce the programmed death of THP-1 cells after intervention.Conclusion:The core members of CXCL12-CXCR4/7 axis and related cytokines may be important mediators of severe infectious immune disorders in AML patients.HCQ can inhibit cytokine levels to reverse immune mediators dysregulation and suppress malignant biological characteristics of leukemia cells.The mechanisms may be related to regulating the expression of Bcl-2 family proteins,hydrolytically activating Caspase-3 and inhibiting the activation of TLR4/NF-κ B signaling pathway.

Objective To explore the association between dynamic indexes of maternal progesterone in early pregnancy and the average level and growth rate of fetal head circumference(HC)in mid-and late pregnancy.Methods This study adopted a retrospective cohort design and included 255 singleton pregnant women in the maternal and infant cohort of The First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2024.The progesterone levels of their early venous blood were detected and divided into two groups of progesterone trajectories,namely,fluctuating type and increasing type,by morphology.The dynamic indicators of progesterone in early pregnancy were constructed:cumulative dynamic deviation index in the first trimester(CDDI-P1T),gestational age at progesterone peak(GA-PP),and maximal relative progesterone decline in the first trimester(MRD-P1T).The average head circumference level and linear growth rate of the fetuses in the middle and late pregnancy were calculated.Generalized linear regression(GLM)was used to analyze the linear association between progesterone dynamic indicators and head circumference development.The key gestational weeks of progesterone affecting fetal head development were explored by linear regression of gestational weeks.Ordinary least squares(OLS)regression and restricted cubic spline(RCS)plots were used to draw the nonlinear association between progesterone dynamic indicators and head circumference.Results Among the 255 pregnant women included,92.5％of the progesterone trajectories in early pregnancy were fluctuating,and 7.5％were increasing.The growth rates of the increasing progesterone trajectory group were higher in the second and third trimesters than in the fluctuating group,but the differences were not statistically significant(all P＞0.05).GLM analysis showed that for every 1 unit increase in CDDI-P1T,the head circumference in the middle and late pregnancy increased significantly by 1.574 cm and 1.193 cm(Z=3.714,2.885,P＜0.01).The delay of GA-PP was negatively correlated with the head circumference in the middle pregnancy(β=-0.190 cm,95％CI:-0.339--0.041,P=0.010)but positively correlated with the head circumference growth rate in the late pregnancy(β=0.022 cm/week,95％CI:0.003-0.041,P=0.025).A 10％decrease in the decline of CDDI-P1T increased the head circumference in the middle pregnancy by 0.200 cm(95％CI:0.016-0.384,P=0.033),and a 100％decrease in the decline increased the head circumference growth rate in the late pregnancy by 0.201 cm/week(95％CI:0.002-0.399,P=0.048).The analysis of the key time window showed that for every 20 nmol/L increase in progesterone during 9.5-13 weeks of pregnancy,the mid-term head circumference increased by 0.035-0.166 cm(Z=2.452-3.517,allP＜0.05),and the late-term head circumference increased by 0.767 cm during 9-13 weeks of pregnancy(Z=2.452-3.517,all P＜0.05).When progesterone increased during 9.5-10.5 weeks of pregnancy,the growth rate of mid-term head circumference increased by 0.013-0.023 cm/week(Z=2.074-2.243,all P＜0.01).When progesterone increased during 8.5-10.5 weeks of pregnancy,the growth rate of late-term head circumference increased by 0.010-0.026 cm/week(Z=2.061-3.137,all P＜0.05).Conclusion Progesterone dynamic index is a new sensitive tool for evaluating fetal head circumference development.There is a stage-specific window period for progesterone regulation.9.5-13 weeks of pregnancy is the critical period for progesterone to affect head circumference growth,and 9.5-10.5 weeks of pregnancy is the core window for regulating the growth rate of head circumference.Therefore,it is necessary to combine progesterone dynamic index and time window for individualized intervention to promote the transformation of prenatal care from pregnancy maintenance to eugenics intervention.

Objective:To explore the relationship between parenting styles of toddlers aged 30 months and attention deficit hyperactivity disorder (ADHD) symptom trajectories in preschool children.Methods:The subjects were 2 111 children and their parents in Ma'anshan Birth Cohort. Parenting styles were assessed at 30 months of age using the Brief Toddler Parenting Style Questionnaire, which defines parenting styles on four dimensions: warmth and interaction, attention and acceptance, outdoor and social activities, and neglect and restrictions. The Chinese version of the Conners Abbreviated Symptom Questionnaire was used to examine preschooler's ADHD symptoms aged 3, 5, and 6 years. ADHD symptom trajectories were fitted using group-based trajectory modeling. The multinomial logistic regression model was used to evaluate the relationship between parenting styles at 30 months of age and ADHD symptom trajectories in children. The additive and multiplicative models were applied to analyze the interaction effect of negative parenting styles in children's ADHD symptom trajectories.Results:ADHD symptom trajectories in children included the low-score (48.3%), moderate-score (47.7%), and high-score groups (4.0%). After adjusting for the confounding factors, the results of the multinomial logistic regression analysis showed that negative parenting styles of the father/mother were associated with ADHD symptom trajectories in children ( P<0.05). The father/mother's low warmth and interaction (father: OR=2.07,95% CI:1.68-2.54; mother: OR=2.02,95% CI:1.64-2.48), low attention and acceptance (father: OR=1.94,95% CI:1.57-2.39; mother: OR=1.47,95% CI:1.20-1.81), low outdoor and social (father: OR=1.74,95% CI:1.43-2.13; mother: OR=1.60,95% CI:1.32-1.94), and high neglect and restriction (father: OR=2.09,95% CI:1.67-2.62; mother: OR=2.06,95% CI:1.65-2.56) were associated with ADHD symptom moderate-score trajectories compared to the low-score trajectory group, mother's low warmth and interaction, low outdoor and social, and high neglect and restrictions. Statistically significant association was seen in negative parenting styles of fathers with the high-score group. There was a multiplicative interaction for hostile parenting ( P<0.05). The additive interaction results showed that there was a synergistic effect of hostile parenting, which increased the risk of the high-score trajectories of ADHD symptoms in children. Conclusions:Both parents' parenting styles influenced ADHD symptom change the trajectories in preschoolers. Negative parenting styles of the father/mother increase the risk of the moderate-score and high-score trajectories of ADHD symptoms in children. Hostile parenting by both parents has a synergistic impact on the risk of ADHD symptom trajectories in children, and the simultaneous presence of both increases the risk of the high-score trajectory of ADHD symptoms.