To analyze the ethnic differences in the genotype distribution of thalassemia between the Han and Li ethnic groups in the Qiongnan region (southern Hainan). A cross-sectional study employing a stratified multistage sampling method was conducted from January 2019 to December 2023. A total of 4 493 high-risk individuals (2 734 Han and 1 759 Li) from southern Hainan (including Sanya, Ledong, Baoting, Lingshui, and other counties) underwent thalassemia genetic testing. The genotype distribution was statistically analyzed. Inter-group comparisons were performed using χ2 test or Fisher′s exact test. The results showed an overall thalassemia positivity rate of 66.70% (2 997/4 493), with carrier, intermediate and major thalassemia rates of 62.01% (2 786/4 493), 3.98% (179/4 493) and 0.71% (32/4 493), respectively. The positivity rates for thalassemia were 87.83% (1 545/1 759) in the Li ethnic group and 53.11% (1 452/2 734) in the Han ethnic group. Among them, the Li ethnic group exhibited significantly higher positivity rates for α-thalassemia (71.12% vs. 40.64%, χ2=398.90, P<0.001) and α/β-compound thalassemia (13.36% vs. 3.33%, χ2=160.06, P<0.001) compared to the Han ethnic group, whereas the Han ethnic group had a higher β-thalassemia rate (9.14% vs. 3.35%, χ2=56.03, P<0.001). Both ethnic groups shared common α-thalassemia alleles (-α 3.7 and -α 4.2), but the -- SEA allele proportion was significantly higher in Han (21.33% vs. 4.34%, χ2=231.45, P<0.001). Six rare -α 21.9 mutations (0.26%) were exclusively identified in the Li ethnic group, whereas none were found in Han. For β-thalassemia, the β CD41-42 allele was predominant in Li (96.60% vs. 71.01%, χ2=77.24, P<0.001), whereas other alleles (β IVS-II-654, β CD71-72, β CD17, and β -28) were more prevalent in Han (11.01%, 6.96%, 4.64%, and 3.19% vs. 1.54%, 0.00%, 0.31%, and 0.62%, respectively),all P<0.05. In conclusion, distinct ethnic disparities in thalassemia genotype distribution are observed in southern Hainan. The Li ethnic group is predominantly characterized by α-thalassemia and α/β-compound genotypes with a predominant β CD41-42 mutation. In contrast, the Han ethnic group displays higher -- SEA proportion and heterogeneous β-thalassemia genotypes.

Objective To investigate influencing factors of textbook outcome(TO)in patients with pancreatic ductal adenocarcinoma undergoing minimally invasive pancreaticoduodenectomy(MIPD).Methods A retrospective analysis was conducted on the clinical data of 101 cases of pancreatic ductal adenocarcinoma treated with MIPD in our hospital from January 2020 to December 2022.According to the inclusion and exclusion criteria,89 cases were ultimately included in this study,of which 61 cases reached TO(TO group)and 28 cases did not reach TO(non-TO group).Variables with P<0.05 in univariate analysis were included in multivariate logistic regression analysis to identify independent prognostic factors of TO.Results Univariate analysis showed that there were significant differences in pancreatic duct dilation>3 mm,preoperative neutrophil lymphocyte ratio(NLR),extended hospital stay,postoperative hospitalstay,and drain fluid amylase(DFA)>1100 U/L at1-3 d aftersurgery(P<0.05).Multivariate logistic regression analysis showed that the independent prognostic factors affecting TO were:pancreatic duct dilation>3 mm(OR=7.290,95%CI:1.485-35.786,P=0.014),postoperative hospital stay(OR=0.862,95%CI:0.751-0.989,P=0.034),and the DFA on the first postoperative day>1100 U/L(OR=0.052,95%CI:0.005-0.545,P=0.014).Conclusions The outcome of TO in patients after MIPD is not related to the surgical approach(robot assisted minimally invasive pancreaticoduodenectomy or laparoscopic pancreaticoduodenectomy).Pancreatic duct dilation>3 mm,postoperative hospital stay,and DFA on the first postoperative day>1100 U/L are independent prognostic factors of TO after MIPD in patients with pancreatic ductal adenocarcinoma.

Using surface-enhanced infrared absorption spectroscopy in conjunction with electrochemical techniques,this study investigates the origins of variations in electrocatalytic activity of 4-nitrothiophenol(4-NTP)under the influence of three cations:Li+,Na+,and tetramethylammonium(TMA+).The findings highlight the significant impact of specific interactions between cations and the electrode surface on electrocatalytic activity.By constructing vibrational Stark spectra,the study reveals the impact of cations on the structure of the electric double layer and the interfacial electric field.Further spectroscopic and electrochemical characterizations demonstrate that differences in the hydrophilic and hydrophobic properties of cations influence their specific interactions with the interface.Notably,TMA+,through specific interactions,acts as a mediator for charge transfer,effectively reducing the charge transfer resistance of the system and thereby enhancing electrocatalytic activity to some extent.These results elucidate the influence of specific cation/interface interactions and cation properties on electrocatalytic reactions,contributing to a deeper understanding of cation effects at electrochemical charged interfaces.

To analyze the ethnic differences in the genotype distribution of thalassemia between the Han and Li ethnic groups in the Qiongnan region (southern Hainan). A cross-sectional study employing a stratified multistage sampling method was conducted from January 2019 to December 2023. A total of 4 493 high-risk individuals (2 734 Han and 1 759 Li) from southern Hainan (including Sanya, Ledong, Baoting, Lingshui, and other counties) underwent thalassemia genetic testing. The genotype distribution was statistically analyzed. Inter-group comparisons were performed using χ2 test or Fisher′s exact test. The results showed an overall thalassemia positivity rate of 66.70% (2 997/4 493), with carrier, intermediate and major thalassemia rates of 62.01% (2 786/4 493), 3.98% (179/4 493) and 0.71% (32/4 493), respectively. The positivity rates for thalassemia were 87.83% (1 545/1 759) in the Li ethnic group and 53.11% (1 452/2 734) in the Han ethnic group. Among them, the Li ethnic group exhibited significantly higher positivity rates for α-thalassemia (71.12% vs. 40.64%, χ2=398.90, P<0.001) and α/β-compound thalassemia (13.36% vs. 3.33%, χ2=160.06, P<0.001) compared to the Han ethnic group, whereas the Han ethnic group had a higher β-thalassemia rate (9.14% vs. 3.35%, χ2=56.03, P<0.001). Both ethnic groups shared common α-thalassemia alleles (-α 3.7 and -α 4.2), but the -- SEA allele proportion was significantly higher in Han (21.33% vs. 4.34%, χ2=231.45, P<0.001). Six rare -α 21.9 mutations (0.26%) were exclusively identified in the Li ethnic group, whereas none were found in Han. For β-thalassemia, the β CD41-42 allele was predominant in Li (96.60% vs. 71.01%, χ2=77.24, P<0.001), whereas other alleles (β IVS-II-654, β CD71-72, β CD17, and β -28) were more prevalent in Han (11.01%, 6.96%, 4.64%, and 3.19% vs. 1.54%, 0.00%, 0.31%, and 0.62%, respectively),all P<0.05. In conclusion, distinct ethnic disparities in thalassemia genotype distribution are observed in southern Hainan. The Li ethnic group is predominantly characterized by α-thalassemia and α/β-compound genotypes with a predominant β CD41-42 mutation. In contrast, the Han ethnic group displays higher -- SEA proportion and heterogeneous β-thalassemia genotypes.

Objective:To predict very early recurrence after radical resection in patients with pancreatic head cancer by combining preoperative enhanced CT imaging findings and clinicopathological features.Methods:The clinicopathological and preoperative enhanced CT imaging features of 241 patients who underwent radical pancreaticoduodenectomy at Peking University Third Hospital from Jan 2010 to Dec 2022 were retrospectively collected and analyzed.Results:Using recurrence within 3 months after surgery as the definition for very early recurrence, 49 out of 241 patients experienced very early recurrence. Multivariate analysis showed that preoperative BMI<18.5 kg/m2( P=0.040), rim enhancement( P=0.028), lymphovascular invasion( P<0.001), and poor tumor differentiation ( P=0.013) were independent risk factors for very early recurrence. Conclusion:Enhanced CT imaging features combined with clinicopathological characteristics can predict very early recurrence after resection of pancreatic head cancer.

Objective To investigate influencing factors of textbook outcome(TO)in patients with pancreatic ductal adenocarcinoma undergoing minimally invasive pancreaticoduodenectomy(MIPD).Methods A retrospective analysis was conducted on the clinical data of 101 cases of pancreatic ductal adenocarcinoma treated with MIPD in our hospital from January 2020 to December 2022.According to the inclusion and exclusion criteria,89 cases were ultimately included in this study,of which 61 cases reached TO(TO group)and 28 cases did not reach TO(non-TO group).Variables with P<0.05 in univariate analysis were included in multivariate logistic regression analysis to identify independent prognostic factors of TO.Results Univariate analysis showed that there were significant differences in pancreatic duct dilation>3 mm,preoperative neutrophil lymphocyte ratio(NLR),extended hospital stay,postoperative hospitalstay,and drain fluid amylase(DFA)>1100 U/L at1-3 d aftersurgery(P<0.05).Multivariate logistic regression analysis showed that the independent prognostic factors affecting TO were:pancreatic duct dilation>3 mm(OR=7.290,95%CI:1.485-35.786,P=0.014),postoperative hospital stay(OR=0.862,95%CI:0.751-0.989,P=0.034),and the DFA on the first postoperative day>1100 U/L(OR=0.052,95%CI:0.005-0.545,P=0.014).Conclusions The outcome of TO in patients after MIPD is not related to the surgical approach(robot assisted minimally invasive pancreaticoduodenectomy or laparoscopic pancreaticoduodenectomy).Pancreatic duct dilation>3 mm,postoperative hospital stay,and DFA on the first postoperative day>1100 U/L are independent prognostic factors of TO after MIPD in patients with pancreatic ductal adenocarcinoma.

Objective:To study genotype analysis and influence factors analysis of hepatitis B virus(HBV)deoxyribonucleic acid(DNA)positive samples of negative hepatitis B surface antigen(HBsAg)donors in blood donors without compensation in Nan'an area.Methods:A total of 62,000 HBsAg fast-screened blood donor samples from January 2021 to June 2024 were selected as the study objects.HBV infection,viral load and genotype of HBV DNA positive samples,single factor and influencing factor of HBV DNA positive samples were detected and analyzed.Results:Among the 62000 HBsAg fast-screened blood donor samples,the results were negative by HBsAg screening,moreover,285 cases(0.46％)were HBsAg positive and 61715 cases(99.54％)were negative.NAT positive 180 cases and 118 cases were positive for HBV DNA.The HBV DNA positive rate of HBsAg negative donors was 0.19％(118/62000).HBV DNA of the viral load of positive specimens with＜20 IU/mL was higher than those with 20 to 99 IU/mL and ≥ 100 IU/mL(P＜0.05).HBV DNA of C style of the genotype of positive specimens was higher than B style and unsamples(P＜0.05).Univariate analysis found that HBV DNA positivity was mainly related to the history of intravenous drug use and risky sexual behavior,as well as the history of hepatitis B vaccination and blood transfusion(P＜0.05).According to the Logistic regression analysis,history of intravenous drug use and risky sexual behavior,and blood transfusion were risk factors for positive HBV DNA(OR＞1,P＜0.05),vaccination of hepatitis B vaccine was a protective factor for HBV DNA positivity(OR＜1,P＜0.05).Conclusion:The proportion of HBsAg in Nan'an area is relatively high,but there are still a small number of positive samples,the main genotype was type C,and history of intravenous drug use and risky risk behaviors,as well as history of blood transfusion were all risk factors for positive HBV DNA,vaccination of hepatitis B vaccine is protective factor for HBV DNA positivity.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective To comparatively analyze the clinical characteristics of primary bilateral macronodular adrenal hyperplasia(PBMAH)and adrenal cortisol-producing Adenoma(CPA),and enhance the understanding of two diseases.Methods The clinical data of 85 PBMAH patients(PBMAH group)and 195 CPA patients(CPA group)diagnosed at Department of Endocrinology,the First Medical Center of Chinese PLA General Hospital,from September 2014 to August 2024 were retrospectively analyzed.The demographic characteristics,comorbidities,biochemical indicators,adrenocorticotropic hormone-cortisol(ACTH-F)levels,and adrenal imaging features and treatment conditions were compared between the two groups.Results(1)General characteristics:Compared with CPA group,PBMAH group had older age at diagnosis and a higher proportion of male patients.(2)Clinical characteristics:Compared with CPA group,PBMAH group had a longer disease duration,a higher proportion of subclinical Cushing's syndrome(CS),and a higher proportion of hypertension,impaired glucose tolerance/diabetes,bone mass reduction or osteoporosis,with higher serum potassium levels,and the differences were statistically significant(P<0.01).(3)Hormone levels:Both PBMAH and CPA groups showed ACTH-F rhythm disorder,significantly increased cortisol levels and suppressed ACTH.Compared with PBMAH group,CPA group had stronger autonomous cortisol secretion ability,manifested by increased midnight serum cortisol(F0:00),16:00 serum cortisol(F16:00),24-hour urinary free cortisol(24 h UFC)levels and lower 8:00 serum ACTH(ACTH8:00)and 16:00 serum ACTH(ACTH16:00)(P<0.01).After low-dose dexamethasone suppression test(LDDST),CPA group showed lower suppression rates of ACTH and cortisol,and higher proportions of paradoxical elevation in serum cortisol and 24 h UFC compared with PBMAH(P<0.01).Conclusions PBMAH has a longer disease course and higher proportions of comorbid metabolic disorders than CPA,mostly manifested as subclinical Cushing's syndrome.CPA has stronger autonomous cortisol secretion ability,with cortisol less likely to be suppressed after LDDST and more obvious paradoxical elevation of cortisol and 24 h UFC.

Objective To investigate the clinical and pathological characteristics of adrenal cortical carcinoma(ACC),compare differences between hypercortisolism and non-functional ACC,and assess the diagnostic value of indicators such as Ki-67 index.Methods The clinical data of 57 ACC patients admitted to the First Medical Center of Chinese PLA General Hospital from January 2015 to March 2025 were retrospectively analyzed.According to the results of endocrine function assessment,47 of these patients were divided into hypercortisolism group(n=19)and non-functional group(n=28).The differences in clinical and pathological characteristics between the two groups were compared,and non-parametric tests and Spearman correlation analysis were used to explore the relationship between Ki-67 index and tumor stage as well as imaging features.Results Among the 57 patients,there were 20 males and 37 females,with a male-to-female ratio of 1:1.85.The age ranged from 16 to 76 years,and the age at diagnosis was(48.7±13.3)years.The tumor diameter was(10.53±4.14)cm.The tumors were located on the right side in 12 cases(21.1%),on the left side in 34 cases(59.6%),and bilaterally in 11 cases(19.3%).Among them,16 cases(28.1%)were complicated with glucose metabolism disorders,31 cases(54.3%)had hypertension,and 20 cases(35.1%)had hypokalemia.According to ENSAT staging,there were 0 cases in stage Ⅰ,15 cases(26.3%)in stage Ⅱ,24 cases(42.1%)in stage Ⅲ,and 18 cases(31.6%)in stage Ⅳ.Endocrine function assessment was completed in 47 of the 57 patients,including 28 cases(59.6%)of non-functional ACC and 19 cases(40.4%)of hypercortisolism(including 1 case of hypercortisolism combined with increased sex hormone secretion).Compared with non-functional group,hypercortisolism group had a significantly higher prevalence of hypertension(P=0.014),later ENSAT stage(P=0.010),and a higher proportion of hypervascularization(P=0.048).The median Ki-67 index was 20%(10%-40%),showing no significant correlation with either the maximum tumor diameter or SUVmax value,but it was related to ENSAT staging,with Ki-67 index in stageⅣ patients being significantly higher than that in stage Ⅱ(P=0.032).Immunohistochemistry results showed that the positive rate of Inhibin-α was 84.8%,and the positive rate of Melan-A was 40.9%.Conclusions ACC is a rare malignant endocrine tumor.ACC patients with hypercortisolism are more likely to be complicated with hypertension,have later staging,and more common hypervascular manifestations.Clinically,their endocrine function should be prioritized for assessment,and more active treatment strategies should be adopted.Diagnosis should be combined with imaging characteristics(such as hypervascularization)and immunohistochemical indicators(Ki-67,Inhibin-α,Melan-A).The significant increase in Ki-67 is in the advanced stage can serve as an important prognostic indicator to guide individualized treatment.