This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Objective To construct a lung cancer surgery-oriented disease-specific database covering the entire perioperative care pathway, thereby improving the quality and usability of key surgical data elements. Methods Real-world clinical data were extracted from a single-center thoracic surgery department. A standardized data model was established based on the open electronic health record (openEHR) standard. Large language model (LLM), optical character recognition (OCR), and artificial intelligence (AI)-driven techniques were employed to extract, structure, and perform quality control on unstructured clinical narratives, imaging reports, and radiological data, with a focus on capturing surgically relevant perioperative indicator. Results A multimodal database comprising 19 917 patients was established, including 7 930 males and 11 987 females, with ages ranging from 15 to 97 (61.7±9.7) years. The database includes 582 structured data variables, textual report data corresponding to 69 clinical indicators, 13 000 pulmonary function test PDF reports, and chest CT imaging data from 16 884 patients. This database comprehensively covers major information relevant to surgical diagnosis and treatment of lung cancer, significantly improving the completeness and granularity of surgical detail data. Large language models (LLMs) and optical character recognition (OCR) technologies enhanced the efficiency of converting unstructured data into structured formats, while a multi-level manual verification process ensured data accuracy and traceability. The database supports real-world research including comparisons of surgical procedures, prediction of postoperative complications, prognosis assessment, and multimodal data association analyses.

Accommodative dysfunction, particularly accommodative lag, acts as a core hub connecting near work activity to myopic axial elongation. This review thoroughly explores the multidimensional biological mechanisms by which accommodative function drives axial growth. In addition to the classic pathway where hyperopic defocus signals induce retinal-choroidal-scleral biochemical remodeling, two other mechanisms are highlighted: a biomechanical pathway involving direct mechanical traction on the equatorial sclera caused by sustained ciliary muscle contraction, and a neural pathway where abnormal accommodative micro fluctuations degrade retinal image quality, thereby triggering abnormal ocular growth. Based on these comprehensive mechanisms, this paper systematically analyzes the principles of pharmacological(atropine), optical(orthokeratology, defocus lenses), and vision therapy interventions. Myopia progression results from the integrated regulation of optical defocus, mechanical stress, and neural dynamics. Future myopia control should advance toward precise, personalized combination strategies tailored to individual accommodative and genetic profiles.

Based on the theory of Zi Wu Liu Zhu （子午流注， the ebb and flow of midnight and midday） and the clinical characteristics of diarrhea-predominant irritable bowel syndrome （IBS-D） that its symptoms mainly occur during chou （丑） period （01：00—03：00）， mao （卯） period （5：00—7：00）， and si （巳） period （9：00—11：00）， this paper proposes a temporal pathogenesis chain of "liver constraint during chou period， intestinal stagnation during mao period， and spleen deficiency during si period". Within this chain， liver constraint serves as the initiating factor， and intestinal stagnation manifests as the branch， while spleen deficiency constitutes the root of the disease. Accordingly， a chronotherapeutic principle of "soothing the liver， regulating the intestines， and fortifying the spleen" is proposed， establishing a corresponding time-based syndrome differentiation and treatment system. During chou period， the treatment should focus on soothing the liver to relieve constraint and calming the mind to tranquilize the spirit， thereby blocking the mechanism of liver constraint overacting on the spleen. During mao period， the focus is regulating qi to resolve dampness and harmonizing the intestine to alleviate the branch symptoms of morning abdominal pain and diarrhea. During si period， the suggested method is fortifying the spleen and supplementing qi to drain dampness and stop diarrhea， thereby restoring the pivot of spleen-stomach transportation and transformation. These methods are complemented by strategies to optimize medication compliance， thereby providing a new chronotherapeutic approach for clinical diagnosis and treatment of IBS-D.

Digital intelligence technology is a comprehensive technical system with data as the key element and artificial intelligence as the core driving force. It provides innovative methodological support for addressing core bottlenecks in rare disease etiology research, including sample scarcity, high-dimensional datacomplexity, intricate pathogenic mechanisms, and challenges in causal validation. This paper systematically reviews the application pathways and current implementation of digital intelligence across four major stages of rare disease research, including etiological clue mining, causal inference, mechanism analysis, and clinical translation. Furthermore, it summarizes the technical strengths, existing limitations, and developmental challenges, aiming to inform optimization of the research paradigm and promote the sustainable advancement of rare disease research.

With the increasing use of low-dose computed tomography (LDCT) in lung cancer screening and health examinations, the clinical goal of pulmonary nodule management has shifted from detecting nodules to identifying lesions that warrant intervention while avoiding overdiagnosis and overtreatment of low-risk disease. Artificial intelligence (AI) has consequently evolved from computer-aided detection and segmentation to benign-malignant differentiation, longitudinal growth assessment, invasiveness prediction, risk stratification, and closed-loop workflow support. This review outlines the developmental trajectory of AI for pulmonary nodules and summarizes advances in detection and segmentation, radiomics, end-to-end deep learning, longitudinal modeling, and multimodal integration across incidentally detected, screening-detected, subsolid, and multiple-nodule scenarios. Particular attention is given to real-world failure modes and their causes, including data and label bias, scanner- and protocol-related distribution shift, spectrum bias and overfitting in subsolid nodules, missed atypical lesions, automation bias, and management of discordance between AI outputs and guideline-based recommendations. Current evidence suggests that AI may improve detection efficiency and risk reclassification in selected settings; however, evidence regarding cross-population calibration, patient-relevant outcomes, cost-effectiveness, and post-deployment monitoring remains limited. AI should therefore be positioned as a human-in-the-loop adjunct within guideline-governed pathways, supported by scenario-specific validation, transparent reporting, interpretability and accountability, continuous performance auditing, and multidisciplinary decision-making.

BACKGROUND:Macrophage migration inhibitory factor(MIF)is a pleiotropic cytokine,which is secreted in different types of stem cells and can regulate the proliferation,differentiation and migration of various types of stem cells.Our previous research has confirmed that human embryonic stem cells secrete MIF and that its concentration in the culture medium is relatively stable.However,whether MIF is involved in the survival,proliferation and differentiation of human embryonic stem cells remains unclear. OBJECTIVE:To investigate the effects of MIF on survival,proliferation,and differentiation of human embryonic stem cells. METHODS:(1)Human embryonic stem cells H9 were cultured.The growth curve of cells was detected and plotted by CCK-8 assay.Enzyme-linked immunosorbent assay was used to determine the level of MIF in the medium.(2)To determine the effects of exogenous MIF on the survival and proliferation of human embryonic stem cells,different groups were established:the control group,which was cultured in stem cell medium without any modifications;the exogenous MIF group,which was treated with different concentrations(30,100,300 ng/mL)of MIF in the stem cell medium;the MIF inhibitor ISO-1 group,which was treated with different concentrations(2,7,21 μmol/L)of ISO-1 in the stem cell medium;and the MIF+ISO-1 group,which was treated with different concentrations of ISO-1 along with 100 ng/mL of MIF.Cell viability was assessed using the CCK-8 assay.(3)To further elucidate the effect of MIF gene on survival and proliferation of human embryonic stem cell,the MIF knockout H9 cell line was constructed by CRISPR-Cas 9 technology to observe the lineage establishment.(4)To determine the effect of high concentrations of MIF on human embryonic stem cell differentiation,100 ng/mL MIF and 100 ng/mL of CXCR4 neutralizing antibody were separately added to the normal stem cell culture medium.The expression levels of self-renewal factors(KLF4,c-MYC,NANOG,OCT4,and SOX2)and differentiation transcription factors(FOXA2,OTX2)were measured using real-time quantitative polymerase chain reaction,immunofluorescence staining,and western blot analysis. RESULTS AND CONCLUSION:(1)The logarithmic growth phase of H9 cells was between 3-6 days.Under normal growth conditions,human embryonic stem cells secreted MIF at a concentration of approximately 20 ng/mL,independent of cell quantity.(2)Compared to the control group,the addition of different concentrations of MIF had no effect on the proliferation of human embryonic stem cells(P>0.05).ISO-1 significantly inhibited the proliferation of human embryonic stem cells,with a stronger inhibition observed at higher concentrations of ISO-1(P<0.05).The addition of MIF in the presence of ISO-1 reduced the inhibitory effect of ISO-1(P<0.05).(3)Real-time quantitative polymerase chain reaction showed that knocking out 50%of the MIF gene resulted in a significant decrease in the growth vitality of human embryonic stem cells and failure to establish cell lines.(4)Adding 100 ng/mL exogenous MIF to the culture medium resulted in a decrease in the mRNA,protein,and fluorescence expression levels of the self-renewal transcription factor KLF4,while the mRNA,protein,and fluorescence expression levels of the differentiation factor FOXA2 increased.(5)When 100 ng/mL CXCR4 neutralizing antibody was added to the culture medium,the mRNA and protein expression levels of KLF4 increased,while the mRNA and protein expression levels of FOXA2 decreased,contrary to the expression trend observed in the MIF group.In conclusion,the endogenous secretion of MIF by human embryonic stem cells is essential for their survival.The addition of MIF to the culture medium does not promote the proliferation of human embryonic stem cells.However,it can lead to a decrease in the expression of the self-renewal factor KLF4 and an increase in the expression of the transcription factor FOXA2.This provides a clue for further investigation into the effects and mechanisms of MIF on the differentiation of human embryonic stem cells.The MIF-CXCR4 axis plays a regulatory role in this process.

Objective:To examine the funding landscape of the National Natural Science Foundation of China(NSFC)concerning research focused on the elderly as a specific demographic group.It seeks to analyze prevailing research hotspots and to offer insightful research ideas for scholars in this field.Methods:The study employed a retrospective research design.It involved retrieving data on approved projects related to the elderly from the NSFC's official database, covering the period from 2000 to 2020.The data set included variables such as funding year, project title, project category, supporting institution, and funding amount(application codes: H1901, H1902, H1903).Statistical analysis was conducted using Excel software, while visual analysis was performed using CiteSpace software.Results:Between 2000 and 2020, a total of 710 projects focused on geriatrics received funding, amounting to RMB 361, 032, 300, 000.This period exhibited a fluctuating upward trend in both the number of projects and the total funding amount.The primary funding categories were face-to-face projects and youth science fund projects, which together accounted for 44.4%(315/710), 34.4%(244/710)respectively.The distribution of project-relying units demonstrated significant regional imbalance, with Beijing, Zhejiang, Jiangsu, and Shanghai being the predominant areas.Notably, Nanjing Medical University, Peking University, and Shanghai Jiao Tong University ranked as the top three institutions, with funding percentages of 5.9%(42/710), 5.4%(38/710), and 4.5%(32/710), respectively.The research themes encompassed nucleoplasmic interactions, brain networks, and bioinformatics, among others.Conclusions:The NSFC has consistently provided funding for in-depth research in the critical field of geriatrics.The primary research directions focus on aspects such as the mechanisms of aging and the pathogenesis of neurological diseases associated with aging.With the application of innovative technologies and methodologies, significant breakthroughs and achievements are anticipated in geriatrics, contributing to the improvement of health outcomes and the enhancement of the quality of life for the elderly.

The concept of urinary system function decline in the elderly is a novel idea put forth by this consensus, which aims to provide a comprehensive evaluation of urinary system function within the aging population.This consensus includes the assessment of various urinary system organs concerning urine secretion, storage, and excretion, as well as the effects of diseases from other systems on urinary function in older adults.Developed through the Delphi method by 47 experts from 42 tertiary hospitals across China, this consensus outlines a staged management strategy that incorporates epidemiological data, etiological mechanisms, and treatment recommendations.Its objective is to standardize the definition of urological hypogonadism in the elderly, deepen understanding of its physiological and pathological mechanisms, and clinical manifestations, while also thoroughly analyzing the combined effects of multi-organ and multi-system pathologies.Ultimately, it seeks to enhance clinicians' awareness of urological hypogonadism and improve the quality of life for older adults.