Functional dyspepsia （FD） is a prioritized disease category where traditional Chinese medicine （TCM） demonstrates distinct therapeutic advantages. The current western medicine treatment for FD is mainly based on proton pump inhibitors and prokinetic agents， with digestive enzymes， probiotics and antidepressants serving as adjuvant medication， yet such therapies still have certain limitations. TCM treatment for FD includes oral administration of Chinese herbal formulas and Chinese patent medicines， as well as external TCM therapies such as acupuncture and moxibustion， acupoint application， hot medicinal compress therapy， rubbing with ointment， medicinal iontophoresis， auricular acupoint therapy and tui na （Chinese medical massage）. The combined treatment of FD with integrated TCM and western medicine can significantly improve clinical effectiveness and reduce adverse reactions. The common mechanisms underlying the therapeutic effects of both TCM and western medicine revolve around the core pathological processes of FD， mainly focusing on restoring gastrointestinal motility， regulating the levels of brain-gut peptides， modulating intestinal microecology， and ameliorating inflammatory status. The differential mechanisms lie in the precise targeting feature of western medicine versus the holistic-regulating and multi-target characteristics of TCM， and the two approaches exert a synergistic effect to enhance efficacy. This paper proposes to leverage the advantages of TCM in holistic regulation and the strengths of western medicine in targeted treatment， so as to provide personalized and comprehensive treatment regimens for FD patients.

Rheumatoid arthritis （RA） is a chronic autoimmune disease characterized by synovitis as its pathological basis. Although current therapeutic drugs can alleviate symptoms， they are often accompanied by a high risk of side effects. In recent years， the use of flavonoids from traditional Chinese medicine （TCM） in the treatment of RA has garnered significant attention. Studies have shown that the mechanisms by which flavonoids treat RA include inhibiting the release of pro-inflammatory factors， regulating multiple cellular signaling pathways， alleviating oxidative stress， modulating immune system functions， inhibiting bone destruction， and suppressing angiogenesis. Due to their notable anti-inflammatory， antioxidant， and immunomodulatory activities， flavonoids hold promise as potential therapeutic agents for RA. A substantial number of articles in this field have been published. By reviewing Chinese and international literature and applying bibliometric and visual analysis using CiteSpace， this paper explored research hotspots and frontiers in this field， systematically reviewed the structures and anti-RA mechanisms of TCM flavonoids， provided a theoretical basis for their use in RA treatment and clinical applications， and offered new perspectives and references for the discovery of novel TCM-based anti-RA drugs.

Rheumatoid arthritis （RA） is a chronic autoimmune disease characterized by synovitis as its pathological basis. Although current therapeutic drugs can alleviate symptoms， they are often accompanied by a high risk of side effects. In recent years， the use of flavonoids from traditional Chinese medicine （TCM） in the treatment of RA has garnered significant attention. Studies have shown that the mechanisms by which flavonoids treat RA include inhibiting the release of pro-inflammatory factors， regulating multiple cellular signaling pathways， alleviating oxidative stress， modulating immune system functions， inhibiting bone destruction， and suppressing angiogenesis. Due to their notable anti-inflammatory， antioxidant， and immunomodulatory activities， flavonoids hold promise as potential therapeutic agents for RA. A substantial number of articles in this field have been published. By reviewing Chinese and international literature and applying bibliometric and visual analysis using CiteSpace， this paper explored research hotspots and frontiers in this field， systematically reviewed the structures and anti-RA mechanisms of TCM flavonoids， provided a theoretical basis for their use in RA treatment and clinical applications， and offered new perspectives and references for the discovery of novel TCM-based anti-RA drugs.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

Objective To understand the disease spectrum of a natural village in an area with high incidence of esophageal cancer to provide a reference for precise prevention and control. Methods From 2008 to 2024, 711 asymptomatic people over the age of 35 years in a natural village with high incidence of esophageal cancer in China were surveyed, and 171 of them were subjected to gastroscopy, biopsy, and pathological examination. All participants were followed up for a long time, and their disease history was recorded. Results A total of 16 years of follow-up were performed, and 703 people were effectively followed up. In 2008, 171 people underwent gastroscopy, and 160 people had biopsy and pathological results in endoscopic screening. By 2024, 76 people had been diagnosed with malignant tumors of 12 different types, and among these people, 45 had esophageal cancer. Conclusion Esophageal cancer remains a significant cause of morbidity and mortality from malignant tumors in this region. Biopsy and pathological examination should be strengthened during gastroscopy, and follow-ups and regular check-ups should be given high importance to reduce the incidence and mortality rates of esophageal cancer.

Objective To investigate the screening results and factors affecting abnormal detection rates among high-risk groups of esophageal cancer and to explore effective intervention measures. Methods We investigated and collected the information on gender, education level, age, marital status, symptoms of reflux esophagitis (heartburn, acid reflux, belching, hiccup, foreign body sensation in the pharynx, and difficulty swallowing), consumption of pickled vegetables, salt use, and esophageal cancer incidence of villagers in a natural village in Wenfeng District, Anyang City, Henan Province. Changes in reflux esophagitis symptoms in the high-incidence area of esophageal cancer before and after 16 years were observed, and the relationship of such changes with esophageal cancer was analyzed. Results In 2008, 711 cases were epidemiologically investigated, including 213 cases with one of the symptoms of reflux esophagitis such as heartburn, acid reflux, belching, hiccups, foreign body sensation in the pharynx, and difficulty swallowing (sorted in accordance with the abovementioned symptoms; if there are multiple symptoms, then the former is taken); 55 cases with at least two related symptoms, among which the most symptom was heartburn in 108 cases (15.1%); followed by acid reflux, belching, etc. In 2024, the same group of people was investigated, and eight people were missing because of relocation. A total of 703 people were successfully investigated, of which 189 cases (26.8%) had one of the symptoms of reflux esophagitis, such as heartburn (sorted in accordance with relevant symptoms, if there are multiple symptoms, then the former will be selected); 167 cases (23.7%) had at least two related symptoms, among which the most symptom was heartburn in 139 cases (19.7%); followed by acid reflux. Over 16 years, among the 703 people investigated, 45 cases had esophageal cancer and they had one or more of the abovementioned symptoms. No significant differences in the reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.26); no significant differences in the composition of reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.299). Conclusion The detection rate of reflux esophagitis-related symptoms in the population in a high-risk area of esophageal cancer has not decreased in the past 16 years, and the high-risk factors still exist. Esophageal cancer is closely related to reflux esophagitis, and clinical practice can provide early diagnosis and treatment for high-risk population.

Objective: To investigate the effects of Zuogui Jiangtang Jieyu Formula (ZGJTJYF) on histone H3 lysine 18 lactylation (H3K18la) in the hippocampus of rats with diabetes mellitus complicated with depression (DD) and predict the regulatory genes of H3K18la. Methods: Male Sprague-Dawley rats were divided into control, model, and positive drug (metformin [0.18 g/kg] and fluoxetine [1.8 mg/kg]) groups, and the three groups were treated with high, medium, and low ZGJTJYF doses (20.52, 10.26, and 5.13 g/kg, respectively), with 10 rats per group. After treatment, the forced swimming and water maze tests were performed to assess depressive-like behaviors and cognitive function. An enzyme-linked immunosorbent assay was used to measure blood insulin, glycosylated hemoglobin, lactate levels, and lactate content in the hippocampus. Western blotting was used to detect H3K18la expression in the hippocampus. Cleavage Under Targets and lagmentation(CUT&Tag) experiments targeted hippocampal H3K18la epigenetic modification regions to analyze the transcription factors bound by H3K18la. Kyoto Encyclopedia of Genes and Genomes and Protein-Protein Interaction networks were constructed to identify key pathways and target genes regulated by H3K18la. Results: Compared with the normal group, the model group rats showed prolonged immobility time in the forced swim test, increased escape latency in the water maze experiment, decreased target quadrant distance ratio (P<0.01), increased serum lactate content, and decreased lactate content in hippocampal homogenate (P<0.01), as well as decreased H3K18la protein expression in the hippocampus (P<0.01). Compared with the model group, ZGJTJYF reduced the immobility time in the forced swim test and the escape latency in the water maze test (P<0.01), while the distance ratio in the target quadrant increased (P<0.01) in model rats. Lowered fasting blood glucose, insulin, and glycosylated hemoglobin levels (P<0.05, P<0.01) were also observed. ZGJTJYF also increased the lactate content and H3K18la protein expression in hippocampal homogenate (P<0.05, P<0.01). The DNA sequences bound by H3K18la were predominantly enriched at the transcription start sites. ZGJTJYF modulated H3K18la-associated pathways, including cell adhesion junctions, tumor growth factor-beta (TGF-β) signaling, stem cell pluripotency regulation, mitogen-activated protein kinase(MAPK) signaling pathway, and insulin resistance, leading to the identification of 12 target genes. Conclusion ZGJTJYF enhances hippocampal lactate levels and H3K18la modification in DD rats, which may regulate neural cell interactions, neurogenic stem cell function, TGF-β signaling, MAPK signaling, and insulin resistance pathways.

Objective:To investigate the relationship between Triglyceride Glucose-WHR index and retinal arteriosclerosis.Methods:Retrospective longitudinal cohort research method. Using data from the Tongren Health Care Study of Beijing Tongren Hospital from March 2014 to June 2020. The TyG-WHR index was calculated, the restricted cubic spine regression model was used to explore the dose-response relationship between TyG-WHR index and the risk of retinal arteriosclerosis. Cox proportional regression model was implemented to estimate the impact on the risk of retinal arteriosclerosis associated with the different TyG-WHR groups. Receiver operating characteristic were used to explore the value of triglyceride glucose-WHR index for the risk of retinal arteriosclerosis.Results:A total of 8 215 subjects were included, including 3 334 (40.58%) males, 4 881 (59.42%) females;7 689 cases had normal fundus, 296 cases had newly developed retinal arteriosclerosis, and 230 cases had retinal arteriosclerosis. The median age is 45 years old, and the average age is (47.63±13.89) years old. The cumulative incidence rate of new retinal arteriosclerosis was 3.71%(296/7 985), and the cumulative incidence rate of women (3.31%,158/4 767) was lower than that of men (4.29%, 138/3 218) ( χ2=5.105, P<0.001); The cumulative incidence rate of new retinal arteriosclerosis increased with age ( χ2=365.133, P<0.001); The TyG-WHR index was divided into four groups according to the interquartile range, and the Q2- Q4 group had an increased risk of developing new retinal arteriosclerosis compared to Q1 ( χ2=132.887, P<0.001).In the restricted cubic spine regression model, the results showed a non-linear dose-response relationship ( χ2=54.27, P<0.001) between baseline TyG-WHR index and the new-onset of retinal arteriosclerosis. By the multivariate Cox Regression models, three models were constructed in this study. TyG-WHR index was positively correlated with the risk of retinal arteriosclerosis: the HR (95% CI) of model 1-3 was 1.534,1.517 and 1.502.The AUC curve analysis verified that the prediction AUC of the TyG-WHR index for new-onset retinal arteriosclerosis was 0.755, the best prediction value was 7.343, the sensitivity was 90.2%, and the specificity was 75.60%. Conclusion:TyG-WHR index may be an independent risk factor for new-onset retinal arteriosclerosis.

Objective:Coarctation of the aorta is a genetically related diffuse aortic disease. Even after successful repair and with normal blood pressure, patients have a significant increase of risk in long-term cardiovascular events. Coarctation of the aorta accounts for 6%-8% of congenital heart diseases. Although the results of surgery and interventional treatment are satisfactory, the long-term survival rate of patients is still lower than that of health people, and there is a high proportion of re-intervention. Factors affecting prognosis include concomitant diseases, genetic characteristics, restenosis, hypertension, heart failure, neurodevelopmental disorders, obesity, psychology, etc. Therefore, people with coarctation of the aorta need cardiovascular monitoring throughout their life cycle. Currently, there are relevant guidelines of follow-up management for adult patients, but there is still no clear cardiovascular monitoring strategy for child and adolescent patients in transition. Based on a large number of domestic and foreign literature and clinical experience, this article summarizes the follow-up management strategies for full-life cardiovascular monitoring immediately after the repair of coarctation of the aorta in infancy and childhood from the perspective of concomitant diseases, genetic characteristics and long-term complications.

Objective To evaluate the efficacy and safety of six kinds of commonly used traditional Chi-nese medicine combined with mesalazine in the treatment of ulcerative colitis(UC)based on frequency statis-tical network meta-analysis.Methods Randomized controlled trials(RCT)of oral Chinese medicine for the treatment of UC were searched from the establishment of the database to June 2024 of PubMed,CNKI,Wan-fang,VIP,Sinomed and other databases.The quality of the included literatures was evaluated by Cochrane bias risk assessment tool,and the data were statistically analyzed by Stata MP17.0 software.Results A total of 24 RCTs involving 1 939 patients were included,involving 6 kinds of traditional Chinese medicine and Chinese pa-tent medicine,including 4 macro and micro outcome indicators.In terms of improving the total clinical effec-tive rate,Shaoyao decoction,Gancao Xiexin decoction,Huangqin decoction granule,Baitouweng decoction,Kangfuxin liquid,Shenlingbaizhu powder+mesalazine were all superior to using mesalazine alone,and Kang-fuxin liquid+mesalazine had the best effect(P<0.05).In terms of down-regulation of interleukin(IL)-6 expression in colonic mucosa,Shaoyao decoction,Gancao Xiexin Decoction,Huangqin Decoction granules,Pul-satilla decoction,Kangfuxin Liquid+mesalazine were better than using mesalazine alone,and Pulsatilla De-coction+mesalazine had the best effect on reducing IL-6(P<0.05).In terms of down-regulation of colonic mucosal tumor necrosis factor(TNF)-α expression,Shaoyao decoction,Gancao Xiexin decoction,Huangqin decoction granule,Baitouweng decoction,Shenlingbaizhu decoction+mesalazine was better than using me-salazine alone,and Gancao Xiexin decoction+mesalazine had the best effect(P<0.05).In terms of down-regulation of IL-10 expression in colonic mucosa,Pulsatilla decoction+mesalazine was better than mesalazine alone(P<0.05).Conclusion Traditional Chinese medicine combined with mesalazine could alleviate the clin-ical symptoms of UC patients,improve inflammatory factor indicators,eliminate inflammation,and show a better treatment effect for UC than mesalazine used alone.