Objective: To analyze the timeliness of antir-etroviral therapy (ART) and its influencing factors among newly reported HIV/AIDS cases in Wenzhou City, Zhejiang Province from 2016 to 2023, so as to provide a reference for improving the ART effect of HIV/AIDS cases. Methods: Newly reported HIV/AIDS cases in Wenzhou City from 2016 to 2023 were selected as the research subjects. Demographic information, the situation of the first CD4+ T lymphocyte (CD4 cell) test, baseline CD4 cell count, and ART situation were collected through the Chinese Disease Prevention and Control Information System. The timely rate of ART was analyzed, and the influencing factors for timely ART among HIV/AIDS cases were analyzed using a multivariable logistic regression model. Results: A total of 4 500 newly reported HIV/AIDS cases in Wenzhou City from 2016 to 2023 were included, among which 3 679 were males, accounting for 81.76%, and 821 were females, accounting for 18.24%. The median age was 46.24 (interquartile range, 26.23) years. Among these cases, 3 606 received timely ART, with a timely rate of 80.13%. The timely rate of ART increased from 57.54% in 2016 to 91.97% in 2023 (P<0.05). Multivariable logistic regression analysis showed that unmarried/divorced/widowed (OR=0.769, 95%CI: 0.641-0.922), detainees (OR=0.492, 95%CI: 0.269-0.900), untimely first CD4 cell test (OR=0.278, 95%CI: 0.234-0.330), baseline CD4 cell count ≥200 cells/µL (OR=0.709, 95%CI: 0.595-0.843) or undetected (OR=0.131, 95%CI: 0.080-0.213) were associated with a lower timeliness for ART among HIV/AIDS cases. Conclusion From 2016 to 2023, the timely rate of ART among newly reported HIV/AIDS cases in Wenzhou City showed an upward trend, which was mainly affected by marital status, case source, timeliness of the first CD4 cell test, and baseline CD4 cell count.

Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results. Building on their image-recognition abilities, multimodal LLMs (MLLMs) show promising potential for diagnosis based on radiography, chest computed tomography (CT), electrocardiography (ECG), and common pathological images. These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. Despite these promising developments, significant challenges persist regarding the use of LLMs in medicine, including concerns regarding algorithmic bias, the potential for hallucinations, and the need for rigorous clinical validation. Ethical considerations also underscore the importance of maintaining the function of supervision in clinical practice. This paper highlights the rapid advancements in research on the diagnostic and therapeutic applications of LLMs across different medical disciplines and emphasizes the importance of policymaking, ethical supervision, and multidisciplinary collaboration in promoting more effective and safer clinical applications of LLMs. Future directions include the integration of proprietary clinical knowledge, the investigation of open-source and customized models, and the evaluation of real-time effects in clinical diagnosis and treatment practices.
Humans ; Large Language Models ; Tomography, X-Ray Computed

Probiotics play a crucial role in colon cancer treatment by metabolizing prebiotics to generate short-chain fatty acids (SCFAs). Colon cancer patients are frequently propositioned to supplement with probiotics to enhance the conversion and utilization of prebiotics. Nevertheless, the delivery and colonization of probiotics is hindered by the harsh conditions of gastrointestinal tract (GIT). Here, we devised a straightforward yet potent modified prebiotic-based "shield" (Gelatin-Inulin, GI), employing dietary inulin and natural polymer gelatin crosslinked via hydrogen bonding for enveloping Lactobacillus reuteri (Lr) to formulate synbiotic hydrogel capsules (Lr@Gl). The GI "shield" serves as a dynamic barrier, augmenting the resistance of Lr to gastric acid and facilitating its bioactivity and adherence in the GIT, synergizing with Lr to elicit an anti-tumor effect. Simultaneously, Lr@GI demonstrates anti-tumor effects by depleting glutathione to release reactive oxygen species, accompanied by the activation of NLRP3 (NOD-like receptor family pyrin domain containing 3), and the induction M1 macrophage polarization. Furthermore, Lr@GI can not only promote the recovery of intestinal barrier but also regulate intestinal flora, promoting the production of SCFAs and further exerting anti-tumor effect. Crucially, Lr@GI also potentiates the anti-tumor effect of 5-Fluorouracil. The construction and synergistic anti-tumor mechanism of synbiotic hydrogel capsules system provide valuable insights for gut microbial tumor therapy.

Objective To investigate the characteristics of heart rate variability(HRV)in obese patients with severe obstructive sleep apnea hypopnea syndrome(OSAHS).Methods We retrospectively analyzed 78 patients with severe OSAHS diagnosed by polysomnography(PSG)in The Second Affiliated Hospital of Xi'an Jiaotong University from April 2018 to May 2022.According to body mass index(BMI),the patients were divided into obese with severe OSAHS group(43 cases)and non-obese with severe OSAHS group(35 cases).All patients received 24-hour Holter monitoring while on polysomnography monitoring.The differences in HRV indexes between the groups and the correlation between HRV and clinical indicators were analyzed.Results In terms of basic data and PSG indexes,the analysis results showed that compared with those in the non-obese OSAHS group,weight,BMI,neck circumference,waist circumference,and AHI in obese with severe OSAHS group were significantly higher,while the standard deviation of the 24-hour normal R-R interval(SDNN),the standard deviation of the 5-minute mean(SDANN),the triangle index(TI),the heart rate deceleration force(DC),the standard deviation of the normal R-R interval(awake SDNN),and high frequency during sleep in the obese with severe OSAHS group were significantly lower(P＜0.05).The correlation results showed that among obese with severe OSAHS patients,root mean square of the difference of adjacent R-R interval(rMSSD)was negatively correlated with the course of hypertension;TI and DC were negatively correlated with AHI.After adjusting for neck circumference and waist circumference,the linear regression analysis showed that SDNN,SDANN,and rMSSD were correlated with systolic blood pressure(P＜0.05).Conclusion There is significant decrease in HRV index in obese patients with severe OSAHS,suggesting that deterioration of cardiac autonomic nervous regulation function may increase the risk of cardiovascular disease.

Background::Bladder cancer, characterized by a high potential of tumor recurrence, has high lifelong monitoring and treatment costs. To date, tumor cells with intrinsic softness have been identified to function as cancer stem cells in several cancer types. Nonetheless, the existence of soft tumor cells in bladder tumors remains elusive. Thus, our study aimed to develop a microbarrier microfluidic chip to efficiently isolate deformable tumor cells from distinct types of bladder cancer cells.Methods::The stiffness of bladder cancer cells was determined by atomic force microscopy (AFM). The modified microfluidic chip was utilized to separate soft cells, and the 3D Matrigel culture system was to maintain the softness of tumor cells. Expression patterns of integrin β8 (ITGB8), protein kinase B (AKT), and mammalian target of rapamycin (mTOR) were determined by Western blotting. Double immunostaining was conducted to examine the interaction between F-actin and tripartite motif containing 59 (TRIM59). The stem-cell-like characteristics of soft cells were explored by colony formation assay and in vivo studies upon xenografted tumor models. Results::Using our newly designed microfluidic approach, we identified a small fraction of soft tumor cells in bladder cancer cells. More importantly, the existence of soft tumor cells was confirmed in clinical human bladder cancer specimens, in which the number of soft tumor cells was associated with tumor relapse. Furthermore, we demonstrated that the biomechanical stimuli arising from 3D Matrigel activated the F-actin/ITGB8/TRIM59/AKT/mTOR/glycolysis pathways to enhance the softness and tumorigenic capacity of tumor cells. Simultaneously, we detected a remarkable up-regulation in ITGB8, TRIM59, and phospho-AKT in clinical bladder recurrent tumors compared with their non-recurrent counterparts.Conclusions::The ITGB8/TRIM59/AKT/mTOR/glycolysis axis plays a crucial role in modulating tumor softness and stemness. Meanwhile, the soft tumor cells become more sensitive to chemotherapy after stiffening, that offers new insights for hampering tumor progression and recurrence.

Objective:To explore the potential categories and associated factors of mild cognitive impairment (MCI) in community-dwelling older adults.Methods:A total of 393 community-dwelling older adults with MCI in Huzhou City were selected through multistage random sampling from January to July 2022.The survey was conducted by the general information questionnaire, Montreal cognitive assessment (MoCA), Pittsburgh sleep quality index (PSQI) and 15-item geriatric depression scale(GDS-15). Latent profile analysis (LAP) was applied to explore latent categories based on the characteristics of cognitive impairment, and Logistic regression analysis was performed to examine the factors associated with these MCI categories. The statistical software was SPSS 26.0.Results:The community-dwelling older adults with MCI was categorized into four subgroups: generalized mildly impaired subgroup, mixed impaired with visuospatial executive dysfunction subgroup, narrative memory dysfunction impaired subgroup, and high-risk severely impaired subgroup, with corresponding MoCA scores of (23.10±0.96), (21.87±0.92), (20.43±0.93), (19.00±0.00), PSQI scores of (6.00 (4.00)), (7.00 (6.00)), (7.00 (6.00)), (10.00 (3.00)), and GDS-15 scores of (4.00 (4.00)), (4.00(5.00)), (6.00(5.00)), (8.00 (3.00)), respectively. Logistic regression analysis revealed that compared to generalized mildly impaired subgroup, gender, age, exercise habits, sleep quality, depressive symptoms, chronic disease count, and medication count significantly affected other three subgroups, with female, older age, and never/irregular exercise as common risk factors. Poor sleep quality and depressive symptoms could positively predict mixed impaired with visuospatial executive dysfunction subgroup and narrative memory dysfunction impaired subgroup( B=0.82, OR=2.27, 95% CI=1.26-4.08; B=1.12, OR=3.06, 95% CI=1.36-6.91).Additionally, poor sleep quality, depressive symptoms, chronic disease and medication count could significantly predict high-risk severely impaired subgroup ( B=4.13, OR=62.32, 95% CI= 1.71->999.99; B=3.31, OR=27.49, 95% CI=1.37-549.99; B=1.20, OR=3.32, 95% CI= 1.06-10.41 and B=0.80, OR=2.22, 95% CI=1.04-4.71). Conclusion:Four latent MCI categories are identified among community-dwelling older adults, and each category was characterized by unique cognitive impairment features and factors. Healthcare professionals are advised to customize assessments and management strategies according to these specific characteristics to effectively slow cognitive decline.

DNMT3A encodes a DNA methyltransferase involved in development, cell differentiation, and gene transcription, which is mutated and aberrant-expressed in cancers. Here, we revealed that loss of DNMT3A promotes malignant phenotypes in lung cancer. Based on the epigenetic inhibitor library synthetic lethal screening, we found that small-molecule HDAC6 inhibitors selectively killed DNMT3A-defective NSCLC cells. Knockdown of HDAC6 by siRNAs reduced cell growth and induced apoptosis in DNMT3A-defective NSCLC cells. However, sensitive cells became resistant when DNMT3A was rescued. Furthermore, the selectivity to HDAC6 inhibition was recapitulated in mice, where an HDAC6 inhibitor retarded tumor growth established from DNMT3A-defective but not DNMT3A parental NSCLC cells. Mechanistically, DNMT3A loss resulted in the upregulation of HDAC6 through decreasing its promoter CpG methylation and enhancing transcription factor RUNX1 binding. Notably, our results indicated that HIF-1 pathway was activated in DNMT3A-defective cells whereas inactivated by HDAC6 inhibition. Knockout of HIF-1 contributed to the elimination of synthetic lethality between DNMT3A and HDAC6. Interestingly, HIF-1 pathway inhibitors could mimic the selective efficacy of HDAC6 inhibition in DNMT3A-defective cells. These results demonstrated HDAC6 as a HIF-1-dependent vulnerability of DNMT3A-defective cancers. Together, our findings identify HDAC6 as a potential HIF-1-dependent therapeutic target for the treatment of DNMT3A-defective cancers like NSCLC.

Objective:To investigate the correlation between diabetic peripheral neuropathy(DPN)and the tumor markers in patients with type 2 diabetes(T2DM).Methods:A total of 956 patients with T2DM aged 40 to 70 years were hospitalized in the Department of Endocrinology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2018 to December 2020. There were 347 patients suffered from DPN and 609 patients were not. The differences of serum tumor markers between the two groups were analyzed. We explored the influencing factors independently related to DPN, determined the cutoff points of the tumor markers affecting DPN, and investigated the influencing factors of this tumor marker.Results:The levels of serum carcinoembryonic antigen(CEA), carbohydrate antigen(CA)125, and CA211 were significantly higher in T2DM patients with DPN than those without DPN(all P<0.05). CEA, CA211, age, HbA 1C, and diabetic duration were independent risk factors of DPN. The 2 h postprandial C-peptide was the independent protective factor of the DPN. We found the cutoff points of serum CEA and CA211 when the DPN happened were 2.915 ng/mL and 2.115 ng/mL. When the CEA and CA211 levels were above the cutoff points, the incidence risk of DPN was 1.803(95% CI 1.160-2.802)and 1.741(95% CI 1.150-2.635)times respectively, compared to below cutoff values. Conclusion:Serum CEA, CA125, and CA211 levels were significantly higher in T2DM patients with DPN than those without DPN. CEA and CA211 were independent risk factors of DPN and could potentially serve as markers for screening diabetic microvascular complications of diabetes mellitus.

【Objective】 To construct a prediction model of severe obstructive sleep apnea (OSA) risk in the general population by using nomogram in order to explore the independent risk factors of severe OSA and guide the early diagnosis and treatment. 【Methods】 We retrospectively enrolled patients who had been diagnosed by polysomnography and divided them into training and validation sets at the ratio of 7∶3. Patients were divided into severe OSA group and non-severe OSA group according to apnea hypopnea index (AHI)>30. Variables entering the model were identified by least absolute shrinkage and selection operator regression model (Lasso), and logistic regression (LR) method. Then, multivariable logistic regression analysis was used to establish the nomogram, and the area under the receiver operating characteristic curve (AUC) was used to evaluate the discriminative properties of the nomogram model. Finally, we conducted decision curve analysis (DCA) of nomogram model, STOP-Bang questionnaire and Berlin questionnaire to assess clinical utility. 【Results】 Through single factor and multiple factor logistic regression analyses, the independent risk factors for severe OSA were screened out, including moderate and severe sleepiness, family history of hypertension, history of smoking, drinking, snoring, history of suffocation, sedentary lifestyle, male, age, body mass index (BMI), waist and neck circumference. Lasso logistic regression identified smoke, suffocation time, snoring time, waistline, Epworth sleepiness scale (ESS) and BMI as predictive factors for inclusion in the nomogram. The AUC of the model was 0.795 [95% confidence interval (CI): 0.769-0.820] . Hosmer-Lemeshow test indicated that the model was well calibrated (χ²=3.942, P=0.862). The DCA results on the visual basis confirmed that the nomogram had superior overall net benefits within a wide, practical threshold probability range which displayed the nomogram was higher than that of STOP-Bang questionnaire and Berlin questionnaire, which is clinically useful. The Clinical Impact Curve (CIC) analysis showed the clinical effectiveness of the prediction model when the threshold probability was greater than 82% of the predicted score probability value. The prediction model determined that the high-risk population with severe OSA was highly matched with the actual population with severe OSA, which confirmed the high clinical effectiveness of the prediction model. 【Conclusion】 The model performed better than STOP-Bang questionnaire and Berlin questionnaire in predicting severe OSA and can be applied to screening. And it can be helpful to the early diagnosis and treatment of OSA in order to reduce social burden.

Objective: To analyze the spatio-temporal distribution characteristics of new HIV/AIDS cases at ages of 50 years and older in Wenzhou City from 2006 to 2020, so as to provide insights into precise control of AIDS. Methods : The data of new HIV/AIDS cases aged 50 years and older in Wenzhou City from 2006 to 2020 were collected from the China Information System for Disease Control and Prevention. The temporal and spatial distribution characteristics of new HIV/AIDS cases at ages of 50 years and older were identified using global and local spatial autocorrelation analyses and spatial-temporal scan analysis. Results: Totally 1 917 new HIV/AIDS cases aged 50 years and older were detected in Wenzhou City from 2006 to 2020, and there were 179 new HIV/AIDS cases in 58 townships ( streets ) from 2006 to 2010, 643 cases in 113 townships ( streets ) from 2011 to 2015 and 1 095 cases in 147 townships ( streets ) from 2016 to 2020, respectively. The distribution of new HIV/AIDS cases appeared positive spatial autocorrelations from 2006 to 2010 ( Moran's I value=0.05, Z=1.976, P=0.046 ), from 2011 to 2015 ( Moran's I value=0.08, Z=2.314, P=0.028) and from 2016 to 2020 (Moran's I value=0.18, Z=3.956, P=0.003 ). Spatial-temporal scan analysis identified two clusters. The primary cluster mainly covered 70 towns ( streets ) in Lucheng Distrct, Ouhai District, Longwan District, Economic and Technical Development Region, Rui' an City and Pingyang County of Wenzhou City from January 1, 2014 to December 31, 2020, with a cluster radius of 34.30 km [log likelihood ratio ( LLR )=192.84, RR=2.60, P<0.001], and the secondary cluster was located in Hongqiao Township of Yueqing City from January 1, 2009 to December 31, 2015, with a cluster radius of 0 ( LLR=90.60, RR=7.27, P<0.001 ). Conclusions The number of new HIV/AIDS cases aged 50 years and older appeared a tendency towards a rise in Wenzhou City from 2006 to 2020, with spatial clusters that were predominantly identified in urban areas, Rui' an City and Pingyang County of Wenzhou City.