Digital and intelligent technologies serve as the core engine driving the inheritance of the essence and the innovation while upholding the fundamentals of traditional Chinese medicine（TCM）. Currently， the digital and intelligent transformation of TCM has undergone four developmental stages， exhibiting inherent characteristics such as long-term inevitability， objective standardization， and ecological evolution. By introducing quantitative metrics， digital and intelligent technologies have achieved breakthroughs in TCM knowledge inheritance and innovation， clinical diagnosis and treatment， and herbal medicine supply. The practical applicability of methodological innovations has been empirically validated， though significant disparities exist in technological adaptability and application depth across different fields. Overall， the digital and intelligent transformation of TCM remains in its nascent stage， grappling with multiple structural challenges：weak data foundations， inadequate technological adaptability， incomplete institutional frameworks， shortages of multidisciplinary talent， lagging policies and regulations， and urban-rural digital divide. In order to foster sustainable development and modernization of TCM， this paper establishes a six-dimensional collaborative governance framework of encompassing data， technology， organization， institutions， environment and ethics， which is rooted in data governance and digital governance theories. Future efforts should center on standardization， integration， and ecosystem development to build a data and technology foundation. Focus should be placed on deepening innovation and application of key TCM-specific technologies， while simultaneously strengthening interdisciplinary talent cultivation， improving institutional mechanisms and policy frameworks， and increasing support for rural areas. By adopting a people-centered and technology-empowered approach， we can overcome developmental constraints and unleash the powerful driving force of digital and intelligent technologies for the inheritance of TCM.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

The establishment of modern biliary surgery system, alongside pivotal scientific paradigm shifts, has heralded a new era featured by precision, personalization, life-cycle care, and multidisciplinary management in the treatment of both benign and malignant biliary diseases. However, two formidable challenges persist in haunting the treatment of biliary diseases: (1) The refinement of surgical techniques has reached a plateau in reducing the disability associated with benign biliary conditions and in improving survival outcomes in biliary tract cancers; (2) Traditional evidence-based clinical studies have shown limited power in addressing complex dilemmas, such as determining whether to excise or preserve pathological gallbladders or selecting the optimal biliary drainage strategy. Consequently, the authors propose the conceptual framework of “biliary ecosystem”. In this model, diverse and abundant cholangiocytes represent forest, while blood vessels, nerves, and lymphatic vessels serve as nurturing soil, biliary stem cells function as seeds, bile flows like river network, and hepatocytes mark the river′s origins. Both benign and malignant biliary diseases exhibit significant spatiotemporal dynamics. The bile ducts form the “macro” environment, bile constitutes the “sub-macro” environment, and diverse cellular niches create the microenvironment. Specific pathological biliary conditions are shaped by intricate regulatory mechanisms that operate across these three tiers. Within the biliary ecosystem, cellular subpopulations exist remarkable diversity with states of homeostasis, oscillation, perturbation, or imbalance, underpinned by complex signaling networks. This holistic approach allows us to reframe and critically examine the pressing scientific issues confronting biliary tract diseases. Based on this framework, the authors distill key scientific questions and offer preliminary recommendations for embracing the paradigm shift. The authors anticipate that this conceptual model will promote interdisciplinary integration and accelerate clinical and translational researches.

The establishment of modern biliary surgery system, alongside pivotal scientific paradigm shifts, has heralded a new era featured by precision, personalization, life-cycle care, and multidisciplinary management in the treatment of both benign and malignant biliary diseases. However, two formidable challenges persist in haunting the treatment of biliary diseases: (1) The refinement of surgical techniques has reached a plateau in reducing the disability associated with benign biliary conditions and in improving survival outcomes in biliary tract cancers; (2) Traditional evidence-based clinical studies have shown limited power in addressing complex dilemmas, such as determining whether to excise or preserve pathological gallbladders or selecting the optimal biliary drainage strategy. Consequently, the authors propose the conceptual framework of “biliary ecosystem”. In this model, diverse and abundant cholangiocytes represent forest, while blood vessels, nerves, and lymphatic vessels serve as nurturing soil, biliary stem cells function as seeds, bile flows like river network, and hepatocytes mark the river′s origins. Both benign and malignant biliary diseases exhibit significant spatiotemporal dynamics. The bile ducts form the “macro” environment, bile constitutes the “sub-macro” environment, and diverse cellular niches create the microenvironment. Specific pathological biliary conditions are shaped by intricate regulatory mechanisms that operate across these three tiers. Within the biliary ecosystem, cellular subpopulations exist remarkable diversity with states of homeostasis, oscillation, perturbation, or imbalance, underpinned by complex signaling networks. This holistic approach allows us to reframe and critically examine the pressing scientific issues confronting biliary tract diseases. Based on this framework, the authors distill key scientific questions and offer preliminary recommendations for embracing the paradigm shift. The authors anticipate that this conceptual model will promote interdisciplinary integration and accelerate clinical and translational researches.

Traditional Chinese medicine (TCM) is a well-accepted therapy for atopic dermatitis (AD). However, there are currently no evidence-based guidelines integrating TCM and Western medicine for the treatment of AD, limiting the clinical application of such combined approaches. Therefore, the China Association of Chinese Medicine initiated the development of the current guideline, focusing on key issues related to the use of TCM in the treatment of AD. This guideline was developed in accordance with the principles of the guideline formulation manual published by the World Health Organization. A comprehensive review of the literature on the combined use of TCM and Western medicine to treat AD was conducted. The findings were extensively discussed by experts in dermatology and pharmacy with expertise in both TCM and Western medicine. This guideline comprises 23 recommendations across seven major areas, including TCM syndrome differentiation and classification of AD, principles and application scenarios of TCM combined with Western medicine for treating AD, outcome indicators for evaluating clinical efficacy of AD treatment, integration of TCM pattern classification and Western medicine across disease stages, daily management of AD, the use of internal TCM therapies and proprietary Chinese medicines, and TCM external treatments. Please cite this article as: Du XR, Wu MY, Tao MC, Lin Y, Gu CY, Wu MF, Cao Y, Chen DC, Li W, Wang HW, Wang Y, Wang Y, Lu HZ, Liu X, Su XF, Li FL. Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine. J Integr Med. 2025; 23(6):641-653.
Dermatitis, Atopic/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Integrative Medicine ; Drugs, Chinese Herbal/therapeutic use* ; Practice Guidelines as Topic

OBJECTIVE: Angiogenesis is a critical target for hepatocellular carcinoma (HCC) treatment. The previous studies indicated that Jiedu Fang (JDF) could inhibit hypoxia-induced angiogenesis through interleukin-8 (IL-8). Therefore, the present study further explores the mechanisms behind JDF's inhibition of HCC angiogenesis. METHODS: Angiogenesis was assessed with the capillary-like tube formation assay in vitro and the matrigel plug angiogenesis assay in vivo. A liver cancer-related gene set and genes associated with angiogenesis and the hypoxic microenvironment were analyzed using a bioinformatics platform. Real-time reverse transcription-polymerase chain reaction and Western blotting assays were used to assess the targeted mRNA and protein levels, respectively. The Transwell assay was used to assess the migration and invasion potential of EA.hy 926 cells. The orthotopic tumor xenograft model was established, and immunohistochemistry and immunofluorescence assays were used to detect cluster of differentiation 31 and angiopoietin 2 expression, while an enzyme-linked immunosorbent assay was used to detect vascular endothelial growth factor and IL-8 protein levels. RESULTS: In vitro and in vivo assays showed that IL-8 promoted angiogenesis, and JDF could antagonize this effect. Bioinformatics analysis indicated that aurora kinase A (Aurora A) was an important candidate, which can promote IL-8 expression through activation of signal transducer and activator of transcription 3 (STAT3). The overexpression of Aurora A increased IL-8 secretion and promoted HCC migration, invasion, and angiogenesis, which was partly inhibited by JDF. Such effects were validated by in vivo assays. Further validation using the STAT3 inhibitor S3I-201 demonstrated that STAT3 was regulated by Aurora A. CONCLUSION JDF exhibits efficacy in reducing hypoxia-induced angiogenesis in HCC through a mechanism involving the Aurora A/STAT3/IL-8 signaling pathway. Therefore, JDF holds promise as a potential therapeutic approach for targeting HCC angiogenesis. Please cite this article as: Zhong MF, Luo YJ, Guo YY, Xiang S, Lin WF. Jiedu Fang inhibits hypoxia-induced angiogenesis in hepatocellular carcinoma by targeting Aurora A/STAT3/IL-8 signaling pathway. J Integr Med. 2025; 23(6):683-693.
Carcinoma, Hepatocellular/blood supply* ; Humans ; STAT3 Transcription Factor/metabolism* ; Interleukin-8/metabolism* ; Liver Neoplasms/blood supply* ; Aurora Kinase A/metabolism* ; Neovascularization, Pathologic/drug therapy* ; Animals ; Signal Transduction/drug effects* ; Mice ; Drugs, Chinese Herbal/therapeutic use* ; Cell Line, Tumor ; Mice, Inbred BALB C ; Mice, Nude ; Angiogenesis

OBJECTIVE: This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults. METHODS: Data from the fifth wave of the China Health and Retirement Longitudinal Survey (CHARLS) were used to analyse the relationships between sleep duration and body pain, self-reported health, and life satisfaction through logistic regression and Restricted Cubic Spline (RCS) analyses. The sequential mediation effects of body pain and self-reported health status were examined via chain mediation analysis. RESULTS: Logistic regression analysis showed that sleeping fewer than 6 hours or 6-7 hours was linked to higher risks of body pain, poor health, and dissatisfaction with life compared to sleeping 7-8 hours (all P < 0.05). Additionally, those sleeping more than 9 hours also had increased risks of poor health and dissatisfaction with life compared to those sleeping 7-8 hours (all P < 0.05). Chain mediation analysis showed that body pain and self-reported health status sequentially mediated 46.15% of the association between sleep duration and life satisfaction. CONCLUSION Body pain and self-reported health may shape the relationship between sleep duration and life satisfaction in elderly Chinese adults.
Humans ; Male ; Female ; Aged ; Personal Satisfaction ; Sleep ; Health Status ; Self Report ; China ; Middle Aged ; Longitudinal Studies ; Pain/psychology* ; Sleep Duration