Objective To explore whether there is a causal relationship between intestinal flora and esophageal cancer. Methods Summary statistics of intestinal flora and esophageal cancer were obtained from the Genome-wide Association Studies (GWAS) database. Five methods, including inverse variance weighted (IVW), weighted median estimation, Mendelian randomization (MR)-Egger regression, single mode, and weighted mode, were used for analysis, with IVW as the main analysis method. Sensitivity analysis was used to evaluate the reliability of MR results. Results In the IVW method, Oxalobacteraceae [OR=1.001, 95%CI (1.000, 1.002), P=0.023], Faecalibacterium [OR=1.001, 95%CI (1.000, 1.002), P=0.028], Senegalimassilia [OR=1.002, 95%CI (1.000, 1.003), P=0.006] and Veillonella [OR=1.001, 95%CI (1.000, 1.002), P=0.018] were positively correlated with esophageal cancer, while Burkholderiales [OR=0.999, 95%CI (0.998, 1.000), P=0.002], Eubacterium oxidoreducens [OR=0.998, 95%CI (0.997, 0.999), P=0.038], Romboutsia [OR=0.999, 95%CI (0.998, 1.000), P=0.048] and Turicibacter [OR=0.998, 95%CI (0.997, 0.999), P=0.013] were negatively correlated with esophageal cancer. Sensitivity analysis showed no evidence of heterogeneity, horizontal pleiotropy and reverse causality. Conclusion Oxalobacteraceae, Faecalibacterium, Senegalimassilia and Veillonella increase the risk of esophageal cancer, while Burkholderiales, Eubacterium oxidoreducens, Romboutsia and Turicibacter decrease the risk of esophageal cancer. Further studies are needed to explore how these bacteria affect the progression of esophageal cancer.

ObjectiveTo investigate the triglyceride-glucose (TyG) index and the level of serum homocysteine (Hcy) in association with the incidence of stroke in type 2 diabetes mellitus (T2DM) patients. MethodsBased on the chronic disease risk factor surveillance cohort in Pudong New Area, Shanghai, excluding those with stroke in baseline survey, T2DM patients who joined the cohort from January 2016 to October 2020 were selected as the research subjects. During the follow-up period, a total of 318 new-onset ischemic stroke patients were selected as the case group, and a total of 318 individuals matched by gender without stroke were selected as the control group. The Cox proportional hazards regression model was used to adjust for confounding factors and explore the serum TyG index and the Hcy biochemical indicator in association with the risk of stroke. ResultsThe Cox proportional hazards regression results showed that after adjusting for confounding factors, the risk of stroke in T2DM patients with 10 μmol·L⁻¹-¹ and Hcy>15 μmol·L⁻¹ was 1.532 times (95%CI: 1.017‒2.309 times, P=0.041) and 1.738 times (95%CI: 1.119‒2.699 times, P=0.014) higher respectively, compared to T2DM patients with Hcy≤10 μmol·L⁻¹. T2DM patients with TyG>9.074 had 1.396 times higher risk of stroke (95%CI: 1.091‒1.787, P=0.008) compared to those with TyG≤9.074. The study found that urea and α1-antitrypsin (α1-AT) were independent risk factors for the incidence of stroke in T2DM patients. For every unit increase in urea andα1-AT, the risk of stroke in T2DM patients increased by 233.6% (HR=3.336, 95%CI: 1.588‒7.009, P=0.001) and 11.3% (HR=1.113, 95%CI: 1.028‒1.205, P=0.008), respectively. Cumulative risk curves showed that Hcy>10 μmol·L⁻¹ and TyG>9.074 accelerated the time to stroke occurrence in T2DM patients. ConclusionElevated levels of Hcy>10 μmol·L⁻¹ and a higher TyG index are risk factors for stroke in T2DM patients. Effective interventions for Hcy and TyG should be conducted for diabetic patients to reduce the incidence of stroke.

Objective To analyze the relationship between neuroticism and gastroesophageal reflux disease (GERD) using the Mendelian randomization (MR) method. Methods Exposure and outcome data were downloaded from the Integrative Epidemiology Unit (IEU) database in August 2023, including summary statistics from genome-wide association studies (GWAS) for neuroticism (n=374 323) and GERD (n=602 604). MR was conducted using the weighted median method, MR-Egger method, inverse variance weighted method, weighted mode method, and simple mode method. The causal relationship between the two was assessed using odds ratio (OR), and sensitivity analyses were performed to ensure the accuracy of the results. Results Neuroticism was associated with an increased risk of GERD [OR=1.229, 95%CI (1.186, 1.274), P<0.001]. Similarly, GERD was associated with an increased risk of neuroticism [OR=1.786, 95%CI (1.623, 1.965), P<0.001]. Conclusion There is a bidirectional causal relationship between neuroticism and gastroesophageal reflux disease.

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

In the current process of talent cultivation in biology majors,some challenges like teaching content that lags behind the forefront of scientific research,instructional models that deviate from the principles of effective knowledge transmission,and evaluation systems that lack dimensions reflecting scientific innovation.As a strategy of tackling challenges,the Genetic Engineering teaching team,drawing on theoretical analysis and extensive teaching practice,has explored a reform of the instructional model from the perspective of integrating theory with practice.This effort led to the development of a research-oriented teaching model characterized by four iterative stages:knowledge instruction,thinking exercises,practical operation,and feedback evaluation.This model is ground-ed in five core elements of scientific thinking:criticality,coherence,simplicity,logic,and integrity.Imple-mentation follows the four-step framework,emphasizing structured knowledge delivery,cultivation of analytical thinking,hands-on experimentation,and comprehensive feedback.After one semester of application,it was found that through reconstructed knowledge systems,immersive simulations of research contexts,realistic problem-solving of technical bottlenecks and all-round feedback,this teaching model effectively fosters scientific thinking among both instructors and students,significantly enhances students'scientific research ca-pabilities and improves overall teaching effectiveness.

To investigate the effectiveness of a self-developed intelligent medical record writing assistant in enhancing the efficiency of discharge record writing and improving the quality of discharge records, and to assess physicians' satisfaction with the assistant.

Objective To identify causal effects and potential mechanisms of oxidative stress (OS)-related genes in lung cancer. Methods OS-related genes were extracted from the GeneCards database. Integration analysis of genome-wide association study (GWAS) data for lung cancer with gene expression and DNA methylation quantitative trait locus (QTL), including eQTL and mQTL in blood was performed using the summary data-based Mendelian randomization (SMR) approach to determine the causal relationship between OS-related genes and lung cancer risk. Colocalization analysis of OS-related gene QTL and lung cancer risk locus was performed to gain insight into the potential regulatory mechanisms of lung cancer risk. Results A total of 1 188 OS-related genes were obtained from the GeneCards database. A potential causal relationship between OS-related genes and lung cancer was identified by SMR analysis. AGER expression level [OR=1.944, 95%CI (1.431, 2.640), P<0.001], and ATF6B expression level [OR=1.508, 95%CI (1.287, 1.767), P<0.001] were associated with lung cancer risk. Meanwhile, ATF6B methylation level was also associated with lung cancer risk. Conclusion OS-related genes are associated with lung cancer, which may be a potential target of anti-cancer drugs.

Post-stroke depression is a common complication after stroke,which seriously affects the quality of life and clinical prognosis of stroke patients.Acupuncture therapy for post-stroke depression has been proven effective.This article reviewed recent clinical studies on acupuncture therapy for post-stroke depression from the perspectives of pure acupuncture therapy,electroacupuncture therapy,head acupuncture therapy,auricular acupuncture therapy,and comprehensive therapy.The acupoint selection focused on the Governor Vessel,combined with the acupoints of the bladder meridian,liver meridian and pericardium meridian.The comprehensive therapy combined acupuncture with Chinese materia medica,moxibustion,music therapy and rehabilitation training is currently the main treatment approach.Further analysis on the shortcomings of the field could provide references for clinical protocols and mechanism research of acupuncture therapy for post-stroke depression.

Generative Artificial Intelligence ishows a broad application prospect in the field of healthcare and has become an important technical means to promote the development of medical informatization.It addresses the multi-faceted challenges of medical record documentation,including efficiency,quality,and doctor-patient communica-tion.It analyzes the adaptability and feasibility of Generative Artificial Intelligence in different clinical scenarios of intelli-gent medical record generation.Additionally,it explores the issues present in current applications and proposes corre-sponding solutions,providing references for the effective application and continuous optimization of Generative Artifi-cial Intelligence in medical record documentation.This provides a theoretical foundation for further expanding the appli-cation scenarios of automatic medical record documentation in China's healthcare industry.

Objective To analyze the trends in disease burden and risk factors of depression among the elderly population in China from 1990 to 2021,and to provide a theoretical basis for the prevention,treatment,and policy-making of geriatric depression in China.Methods Data on the disease burden of geriatric depres-sion in China from 1990 to 2021,including the number of incident cases,disability-adjusted life years(DALYs),incidence rate,and DALY rate,were extracted from the 2021 Global Burden of Disease(GBD)database.The Joinpoint regression model was used to analyze the trends by calculating the annual percentage change(APC)and average annual percentage change(AAPC).The autoregressive integrated moving average(ARIMA)model was employed to predict the disease burden of geriatric depression over the next five years.Population attributable fractions(PAFs)were used to describe the risk factors for geriatric depression in China in 1990 and 2021.Results From 1990 to 2021,the number of incident cases and the incidence rate of geri-atric depression in China showed an overall upward trend.The most significant increase in incidence was ob-served in the 60-64 age group,while the prevalence rate increased notably in the ≥ 95 age group.The DALY rate showed the most pronounced upward trend in the 65-69 age group.The incidence,prevalence,and DALY rates of geriatric depression were higher in women than in men.Major risk factors included child-hood sexual abuse and intimate partner violence,with the impact of intimate partner violence being particular-ly significant among women.The ARIMA model predicted that the incidence,prevalence,and DALY rates of geriatric depression in China would decline over the next five years,with a greater decline observed in women than in men.Conclusions From 1990 to 2021,the incidence,prevalence,and DALY rates of geriatric de-pression in China showed an overall upward trend,with higher rates observed in women than in men.Greater attention should be paid to the elderly female population,with a focus on early prevention to reduce the dis-ease burden of geriatric depression.