Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.

Objective To investigate muscle mass reduction and the effect of exercise training intervention in non-obese patients with type 2 diabetes (T2DM). Methods A total of 324 non-obese patients with T2DM admitted to the First Affiliated Hospital of Xinjiang Medical University were enrolled from February 2023 to February 2025. Dual-energy X-ray absorptiometry was adopted to detect and analyze the data of appendicular skeletal muscle index (ASMI). Non-obese T2DM patients were classified into an observation group (n=162, receive sports training intervention) and a control group (n=162, receiving routine exercise intervention) by adopting random number grouping criteria. Both groups were intervened for 3 months. The muscle mass indicators [ASMI, body mass index (BMI), and body fat rate], exercise ability [6-minute walking distance (6MWD), grip strength, and one-leg standing time], metabolic indicators [fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), and homeostasis model assessment insulin resistance index (HOMA-IR)], and quality of life [Diabetes Quality of Life Scale (DQOL)] were compared between the two groups to evaluate the effectiveness of sports training intervention. Results A total of 324 non-obese T2DM patients were enrolled, including 123 cases with reduced muscle mass (37.96%). There were no significant differences in the baseline data and the proportion of patients with muscle mass reduction between the two groups before intervention (P>0.05). After intervention, the ASMI, 6MWD, grip strength, and one-leg standing time in the observation group were higher or longer than those of the control group (P<0.05), while the body fat rate, FPG, HbA1c, HOMA-IR and DQOL scores were lower than those of the control group (P<0.05). Conclusion The incidence of muscle mass reduction is relatively high among non-obese T2DM patients, and exercise training intervention has significant effects on improving muscle mass, metabolic status, exercise capacity and quality of life in non-obese T2DM patients.

ObjectiveTo analyze the research hotspots and development trends in the field of spinal cord stimulation (SCS) for spinal cord injury (SCI). MethodsLiterature about SCS for SCI was retrieve from the Web of Science (WOS) Core Collection database, with a time range from January, 1999 to July, 2025. VOSviewer 1.6.20 and CiteSpace 6.4.R2 were used to analyze the annual publication volume, countries, authors, institutions, journals and keywords. ResultsA total of 636 literatures were included. From 1999 to 2025, the overall publication trend in this field showed an upward trajectory, with recent years fluctuating but tending to stabilize. The country with the most publications was the United States (429 papers), followed by Russia (98 papers) and China (70 papers). The institution with the highest number of publications was the University of California, Los Angeles (76 papers), the author with the most publications was V. Reggie Edgerton (70 papers), and the journal with the most publications was Journal of Clinical Medicine (31 papers). The most frequently cited study focused on exploring the combination of epidural spinal cord stimulation with task-specific training to restore motor function in patients with complete SCI. Keyword analysis showed that the research hotspots in this field were mainly focused on neuroregulation mechanisms, recovery of motor and autonomic nervous dysfunction, artificial intelligence, closed-loop stimulation and brain-computer interface technology innovations. In recent years, the research focus gradually shifted from basic mechanisms to personalized and precise multifunctional rehabilitation strategies. ConclusionThe field of SCS for SCI has undergone phases of basic mechanism exploration and clinical application expansion. Current research hotspots and future trends focus primarily on the development of new stimulation paradigms and combined innovative technologies.

ObjectiveTo analyze the changes in infectious disease reporting timeliness before and after the implementation of the National Infectious Disease Intelligent Surveillance and Early Warning Pre-position Software (hereinafter referred to as “the pre-position software”) at Baoding Maternal and Child Health Hospital, and to evaluate its effectiveness in shortening reporting time and improving reporting timeliness. MethodsCase data of infectious diseases submitted by Baoding Maternal and Child Health Hospital to the National Disease Prevention and Control System during January to July 2024 (pre-implementation) and January to July 2025 (post-implementation) were selected. Overall differences in reporting timeliness between the two periods were compared, and stratified comparative analyses were performed by month, weekdays versus weekends/holidays, disease type, and population characteristics. ResultsBefore and after the implementation of the pre-position software, the hospital reported 623 and 587 infectious disease cases, respectively. Among the total 1 210 cases, 49.26% (596/1 210) had a reporting timeliness of <10 h. The highest number of reported cases fell into the 1 to <5 h range, accounting for 31.24% (378/1 210). There was a statistically significant difference in the composition of reported cases by reporting timeliness for infectious diseases in the hospital before and after the use of the pre-position software (χ²=27.38, P<0.001). Compared with January to July 2024, the median reporting timeliness in January to July 2025 was shortened by 3.77 h, and the difference was statistically significant (Z=-3.50, P<0.001). In April (the fourth month after implementation), the median reporting timeliness was shortened by 9.00 h (Z=-3.17, P=0.002). On non-working days (Saturdays and Sundays), it was shortened by 7.64 h (Z=-5.69, P<0.001), and on public holidays, it was shortened by 7.21 h (Z=-3.71, P<0.001). For class C infectious diseases, the median time was shortened by 3.49 h (Z=-3.05, P=0.002). For scattered children, it was shortened by 4.95 h (Z=-3.78, P<0.001). All differences were statistically significant. ConclusionAfter the implementation of the pre-position software, the reporting timeliness for infectious diseases at Baoding Maternal and Child Health Hospital is shortened, with particularly notable reductions observed in April, on non-working days, for Class C infectious diseases, and for scattered children, indicating the reporting timeliness is improved. This study provides empirical references for the promotion and application of this software in medical institutions.

Objective To investigate the prevalence status and influencing factors of metabolic syndrome (MS) in adult patients with hypopituitarism (HP) during hospitalization. Methods The data of adult HP patients who received treatment in the hospital were collected from March 2021 to March 2024. The prevalence status of MS in adult HP patients was counted, and logistic regression analysis was adopted to analyze the influencing factors of MS in adult HP patients. Results Among the 308 adult HP patients in this study, 121 cases developed MS and 187 cases did not develop MS, and they were included in the MS group (n=148) and the non-MS group (n=232). The incidence of MS in adult HP patients was 38.95% (148/380). Compared with the non-MS group, the levels of high-density lipoprotein cholesterol, serum total cholesterol and low-density lipoprotein cholesterol in the MS group were higher, the waist circumference was larger, and the growth hormone was lower (P<0.05). After logistic regression analysis, it was found that high-density lipoprotein cholesterol (OR=1.069, 95%CI: 1.010-1.132, P=0.021), total serum cholesterol (OR=1.065, 95%CI: 1.014-1.119, P=0.012), low-density lipoprotein cholesterol (OR=1.055, 95%CI: 1.005-1.108, P=0.031), waist circumference (OR=1.063, 95%CI: 1.006-1.123, P=0.030) and growth hormone (OR=1.077, 95%CI: 1.019-1.138, P=0.009) could independently affect the occurrence of MS in adult HP patients (P<0.05). Conclusion Adult HP patients during hospitalization are often complicated with MS. High-density lipoprotein cholesterol, serum total cholesterol, low-density lipoprotein cholesterol, waist circumference, and growth hormone are factors affecting the occurrence of MS in adult HP patients.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

OBJECTIVE To explore the relationship between severe cardiotoxicity caused by oxaliplatin combined with capecitabine and genetic polymorphism， thereby providing references for safe clinical medication use. METHODS Clinical pharmacists conducted a correlation analysis on a case of severe cardiotoxicity in a rectal cancer patient at Qilu Hospital of Shandong University following first-time treatment with standard doses of oxaliplatin combined with capecitabine. Case reports of cardiotoxicity caused by oxaliplatin and capecitabine were retrieved from the Chinese and English databases such as CNKI and PubMed.Basic patient information， drug treatment plan， and cardiotoxic manifestations were extracted and summarized. Combined with the patient’s genetic polymorphism test results related to the metabolism and excretion of platinum-based and fluorouracil drugs， potential mechanisms and prevention strategies for cardiotoxicity induced by oxaliplatin and capecitabine were discussed. RESULTS The patient exhibited homozygous mutations in ABCB1 C3435T and G2677T/A， a heterozygous mutation in MTHFR A1298C， and a heterozygous mutation in GSTP1 A105G， indicating impaired metabolism and excretion of oxaliplatin and capecitabine. The pharmacists recommended discontinuing oxaliplatin and reducing capecitabine to 50% of the original dose for subsequent treatment. The physicians adopted this advice， and the patient experienced no further severe adverse reactions with stable disease progression. CONCLUSIONS Oxaliplatin and capecitabine may cause severe cardiotoxicity. Medical institutions with adequate resources should perform genetic polymorphism test related to drug metabolism and excretion in patients prescribed these agents. For patients with multiple gene mutations， close monitoring and appropriate dose reductions are recommended to ensure medication safety and efficacy.

ObjectiveTo improve the quality and service performance of community visual health services in Shanghai, and to establish a set of reasonable and effective evaluation index system for community visual health services. MethodsCentered on the national and Shanghai-based visual health policies and based on the current status and development trends of community visual health service program in Shanghai, the candidate indicators were formed through literature review and expert interviews, firstly. The framework of an evaluation index system was formulated through qualitative research successively, which was further revised and perfected using the Delphi method. Coefficient weights were calculated using the analytic hierarchy process (AHP), culminating in the establishment of the community visual health evaluation index system, lastly. ResultsA total of 22 visual health experts from district-level center for disease control, hospital ophthalmology and leaders in charging of visual health service in community health centers participated in the Delphi questionnaire survey, with a questionnaire recovery rate of 100% and an expert authority coefficient of 0.86, indicating high credibility. After a round of correspondence to experts’ importance ratings and discussions, a comprehensive evaluation index system comprising 3 primary indicators, 12 secondary indicators, and 47 tertiary indicators, along with 5 additional indicators, was finalized. ConclusionAn index system tailored to effective evaluation for community visual health initiatives was drawn up in this study, which can promote the capacity building in community eye health services, facilitating the high-quality development of visual health courses, and enhancing residents’ eye health.

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.

Cardiac fibrosis is characterized by an elevated amount of extracellular matrix (ECM) within the heart. However, the persistence of cardiac fibrosis ultimately diminishes contractility and precipitates cardiac dysfunction. Circular RNAs (circRNAs) are emerging as important regulators of cardiac fibrosis. Here, we elucidate the functional role of a specific circular RNA CELF1 in cardiac fibrosis and delineate a novel feedback loop mechanism. Functionally, circ-CELF1 was involved in enhancing fibrosis-related markers' expression and promoting the proliferation of cardiac fibroblasts (CFs), thereby exacerbating cardiac fibrosis. Mechanistically, circ-CELF1 reduced the ubiquitination-degradation rate of BRPF3, leading to an elevation of BRPF3 protein levels. Additionally, BRPF3 acted as a modular scaffold for the recruitment of histone acetyltransferase KAT7 to facilitate the induction of H3K14 acetylation within the promoters of the Celf1 gene. Thus, the transcription of Celf1 was dramatically activated, thereby inhibiting the subsequent response of their downstream target gene Smad7 expression to promote cardiac fibrosis. Moreover, Celf1 further promoted Celf1 pre-mRNA transcription and back-splicing, thereby establishing a feedback loop for circ-CELF1 production. Consequently, a novel feedback loop involving CELF1/circ-CELF1/BRPF3/KAT7 was established, suggesting that circ-CELF1 may serve as a potential novel therapeutic target for cardiac fibrosis.