Objective: To investigate the distribution frequency and molecular mechanism of the rare blood type Lu(a-b-) in Shenzhen, and to compare the polymorphisms of the Lutheran blood group system encoding gene LU and the In (Lu) phenotype-related gene KLF1 among Han Chinese, Indian, and Uyghur populations in Xinjiang. Methods: Serological methods were used to screen the Lu(a-b-) phenotype of blood donors in Shenzhen. Third-generation sequencing was employed to sequence the full-length of the LU and KLF1 genes in Lu (a-b-) phenotype samples as well as the samples from the Han Chinese, Indians, and Uyghur population, followed by analysis of gene haplotypes frequencies. Results: Ten individuals with the Lu(a-b-) phenotype were screened out of 14 367 blood donors in Shenzhen, yielding a frequency of approximately 0.07%. Only 2 cases showed mutations in the coding region of the LU gene, while all individuals showed heterozygous mutations in the coding region of the KLF1 gene. The highest mutation frequencies of the LU and KLF1 genes were observed in the Uyghur population in Xinjiang and the Han Chinese in Shenzhen, respectively. Conclusion: All Lu(a-b-) phenotypes are of the In (Lu) type, and their formation mechanism is mainly related to KLF1 gene mutations. Both the LU and KLF1 genes exhibit significant polymorphism in the Han Chinese, Indians, and Uyghur populations.

Rheumatoid arthritis （RA） is a common autoimmune disease characterised clinically by symmetrical joint pain， swelling， and stiffness. Long-term chronic synovial inflammation can lead to severe joint damage and even disability， thereby affecting quality of life for patients. Current clinical treatment of RA emphasises an integrated approach combining traditional Chinese and Western medicine， with traditional Chinese medicine offering certain advantages in reducing disease activity of RA， preventing relapses， and other aspects. Modern clinical evidence confirms that Guizhi Shaoyao Zhimutang （GSZT） is effective in improving symptoms such as immune metabolism， joint stiffness， and joint pain in RA patients. Pharmacological studies have revealed that GSZT primarily contains components such as cinnamaldehyde， total glucosides of paeony， total alkaloids of Aconiti Lateralis Radix Praeparata， glycyrrhetinic acid， zingiberone， isoimperatorin， ephedra polysaccharides， and cedrol. It improves RA symptoms via multiple mechanisms and targets， including enhancing immune responses， exerting anti-inflammatory and analgesic effects， regulating relevant signalling pathways， inhibiting cell apoptosis， and suppressing bone destruction. This paper reviewed the syndrome patterns and pharmacological basis of GSZT in the treatment of RA， as well as its clinical applications and related mechanisms， thereby providing a theoretical basis and reference for the further development and utilisation of GSZT in the treatment of RA.

Rheumatoid arthritis （RA） is a common autoimmune disease characterised clinically by symmetrical joint pain， swelling， and stiffness. Long-term chronic synovial inflammation can lead to severe joint damage and even disability， thereby affecting quality of life for patients. Current clinical treatment of RA emphasises an integrated approach combining traditional Chinese and Western medicine， with traditional Chinese medicine offering certain advantages in reducing disease activity of RA， preventing relapses， and other aspects. Modern clinical evidence confirms that Guizhi Shaoyao Zhimutang （GSZT） is effective in improving symptoms such as immune metabolism， joint stiffness， and joint pain in RA patients. Pharmacological studies have revealed that GSZT primarily contains components such as cinnamaldehyde， total glucosides of paeony， total alkaloids of Aconiti Lateralis Radix Praeparata， glycyrrhetinic acid， zingiberone， isoimperatorin， ephedra polysaccharides， and cedrol. It improves RA symptoms via multiple mechanisms and targets， including enhancing immune responses， exerting anti-inflammatory and analgesic effects， regulating relevant signalling pathways， inhibiting cell apoptosis， and suppressing bone destruction. This paper reviewed the syndrome patterns and pharmacological basis of GSZT in the treatment of RA， as well as its clinical applications and related mechanisms， thereby providing a theoretical basis and reference for the further development and utilisation of GSZT in the treatment of RA.

Background Long working hours, as a common risk factor for occupational stress, is closely related to the occurrence of depressive symptoms. Understanding how long working hours affect occupational stress and depressive symptoms will inform occupational health interventions. Objective To quantify the impact of long working hours exposure on occupational stress and depressive symptoms among Internet industry employees, translate black-box outputs into actionable insights, and demonstrate the value of interpretable machine learning for early-warning occupational-health surveillance. Methods A dataset was derived from a cross-sectional survey involving 2866 internet industry employees in China. This survey was part of the project Risk Assessment Of Long Working Hour Exposure And Its Adverse Health Effects, conducted by the National Institute for Occupational Health and Poisoning Control, Chinese Center for Disease Control and Prevention, from 2021 to 2023. Working hours, occupational stress and depressive symptoms were quantified with a set of structured questionnaires including the Core Occupational Stress Scale and the Patient Health Questionnaire. Pairwise associations were screened by Mantel tests and variance-inflation factors. Key predictors identified through feature selection were fed into six machine-learning risk-prediction models. Visual interpretation was provided by feature importance, Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), while directed causal effects and intervention impacts of prolonged working hours exposure on occupational stress and depressive symptoms were dissected with causal explanation of features techniques. Results The positive rates of occupational stress and depressive symptoms among internet employees were 12.9% and 77.8% respectively. Twelve core features for occupational stress and nine for depressive symptoms were retained after selection. After these features were supplied to six predictive algorithms and evaluated on five metrics, the Light Gradient Boosting Machine (LGBM) achieved the highest accuracy—0.89 for occupational stress and 0.79 for depressive symptoms on the hold-out test set. The feature-importance rankings converged on fatigue accumulation and life satisfaction as dominant drivers for both outcomes, whereas weekly working hours and daily overtime emerged as the principal exposure-related predictors. The SHAP summary plots revealed that longer weekly hours and daily overtime systematically elevated the probability of occupational stress. The causal feature explanation further quantified that ascending one category in weekly working hours increased the probability of occupational stress by 7.04%. Conclusion Exposure to long working hours is associated with both occupational stress and depressive symptoms among internet industry employees. Interpretable machine-learning frameworks translate these associations into transparent, defensible drivers, enabling precise identification of the pivotal factors and their interplay. This evidence base equips occupational-health practitioners with actionable insights for designing targeted prevention and intervention strategies.

With industrial restruction, workplace transformation, and the emergence of new materials, technologies, and processes, mental health issues among working population have become a pressing concern in occupational health. Digital interventions, supported by their accessibility and personalization capabilities, may offer a promising solution to this challenge. This article reviewed key concepts and the developmental history of digital interventions and occupational health psychology, and systematically examined representative intervention approaches and their effectiveness in addressing workplace mental health concerns. It further explored the challenges and corresponding strategies in this field, including strengthening the evidence-based foundation, integrating theoretical models, incorporating organizational and ecological factors, and addressing technological issues. In the future, strengthening interdisciplinary and cross-sector collaboration should be enhanced to optimize and promote the application of digital mental health services for working population, thereby promoting workplace well-being and advancing the sustainable development of digital interventions.

Objective To explore the health issues and influencing factors of workers in new forms of employment, represented by couriers and food delivery workers, based on the social-ecological model (SEM). Methods A total of 44 couriers and food delivery workers from Beijing City, Shanghai City, Guangzhou City, and Chongqing City were recruited as the study subjects using purposive sampling combined with snowball sampling method. An interview guide was developed based on the SEM to conduct semi-structured interviews. Thematic analysis was employed to code and analyze the interview data. Results The health influencing factors among the couriers and food delivery workers based on the SEM included three first-level themes at the micro-, meso-, and macro-levels, namely "individual factors," "occupational environmental factors," and "social environmental factors," each comprising three second-level themes. At the micro-level, individual factors such as insufficient health literacy, unhealthy lifestyles and behaviors, and sustained psychological burden jointly contributed to the health vulnerability among these couriers and food delivery workers. At the meso-level, occupational environmental factors including algorithmic management, high-load work environments, and inadequate interpersonal support, jointly construct a high-pressure and high-intensity work pattern. At the macro-level, social environmental factors such as insufficient social security caused by the de facto nature of labor relations, economic pressure resulting from unstable income in the market environment, and psychological depletion caused by occupational discrimination further exacerbate the health vulnerability among these workers. Conclusion The health issues of the couriers and food delivery workers result from the interplay of factors across micro-, meso-, and macro- levels. Therefore, a multi-level collaborative health protection system involving individuals, organizations, and society should be established to improve their health status.

ObjectiveAccording to the theory of medicinal properties in traditional Chinese medicine （TCM）， Tangye Jingfa Tu， implying that all tonic prescriptions should primarily feature sweetness. However， the "Chart of the Classic Methods of Decoction Therapy" recorded in Mnemonic Aids for Medical Practice （Fuxingjue） proposes that each of the Zangfu organs has a corresponding tonifying flavor， i.e.， pungent for the liver， salty for the heart， sweet for the spleen， sour for the lungs， and bitter for the kidneys. Therefore， deficiency syndromes of different organs should be primarily addressed with specific medicinal flavors. This study applies this theoretical framework to analyze the formulation and compatibility principles and efficacy positioning of commonly used TCM tonic prescriptions， providing a reference for differentiated clinical medication. MethodsA database of tonic prescriptions was established based on the textbook Science of Prescriptions. Excel software was used to separately calculate the number of medicinal types， frequency of use， flavors， and proportional composition of the prescriptions. The prescriptions were categorized to determine their compatibility structures and functional characteristics. ResultsA total of 60 prescriptions were included， classified into six categories， involving 110 medicinal types with 469 instances of use. From the perspective of the "Chart of the Classic Methods of Decoction Therapy"， different tonic prescriptions exhibit distinct dominant medicinal flavors and organ associations. Specifically， 15 Qi-tonifying prescriptions primarily adopted a "sweet flavor" to tonify the spleen. Nine blood-tonifying prescriptions primarily adopted a "pungent-salty flavor" to tonify the liver and heart. Seven Qi-and-blood-tonifying prescriptions primarily featured a "sweet-pungent flavor" to tonify the spleen and liver. Nineteen Yin-tonifying prescriptions primarily adopted a "bitter-sour flavor" to tonify the kidneys and lungs. Seven Yang-tonifying prescriptions primarily featured a "pungent-bitter flavor" to tonify the liver and kidneys. Three Yin-and-Yang-tonifying prescriptions primarily featured a "bitter-pungent-sweet flavor" to tonify the kidneys， liver， and spleen. ConclusionThe "Chart of the Classic Methods of Decoction Therapy" clearly illustrates the formulation and compatibility principles and key differences among various tonic prescriptions， indicating that not all tonic prescriptions are predominantly sweet in flavor. This provides new insights for the clinical modification and application of tonic prescriptions.

ObjectiveAccording to the theory of medicinal properties in traditional Chinese medicine （TCM）， Tangye Jingfa Tu， implying that all tonic prescriptions should primarily feature sweetness. However， the "Chart of the Classic Methods of Decoction Therapy" recorded in Mnemonic Aids for Medical Practice （Fuxingjue） proposes that each of the Zangfu organs has a corresponding tonifying flavor， i.e.， pungent for the liver， salty for the heart， sweet for the spleen， sour for the lungs， and bitter for the kidneys. Therefore， deficiency syndromes of different organs should be primarily addressed with specific medicinal flavors. This study applies this theoretical framework to analyze the formulation and compatibility principles and efficacy positioning of commonly used TCM tonic prescriptions， providing a reference for differentiated clinical medication. MethodsA database of tonic prescriptions was established based on the textbook Science of Prescriptions. Excel software was used to separately calculate the number of medicinal types， frequency of use， flavors， and proportional composition of the prescriptions. The prescriptions were categorized to determine their compatibility structures and functional characteristics. ResultsA total of 60 prescriptions were included， classified into six categories， involving 110 medicinal types with 469 instances of use. From the perspective of the "Chart of the Classic Methods of Decoction Therapy"， different tonic prescriptions exhibit distinct dominant medicinal flavors and organ associations. Specifically， 15 Qi-tonifying prescriptions primarily adopted a "sweet flavor" to tonify the spleen. Nine blood-tonifying prescriptions primarily adopted a "pungent-salty flavor" to tonify the liver and heart. Seven Qi-and-blood-tonifying prescriptions primarily featured a "sweet-pungent flavor" to tonify the spleen and liver. Nineteen Yin-tonifying prescriptions primarily adopted a "bitter-sour flavor" to tonify the kidneys and lungs. Seven Yang-tonifying prescriptions primarily featured a "pungent-bitter flavor" to tonify the liver and kidneys. Three Yin-and-Yang-tonifying prescriptions primarily featured a "bitter-pungent-sweet flavor" to tonify the kidneys， liver， and spleen. ConclusionThe "Chart of the Classic Methods of Decoction Therapy" clearly illustrates the formulation and compatibility principles and key differences among various tonic prescriptions， indicating that not all tonic prescriptions are predominantly sweet in flavor. This provides new insights for the clinical modification and application of tonic prescriptions.

This narrative review examines the challenges, strategies, and future directions in the development of young teachers within the pathophysiology departments of Chinese medical colleges. A thorough review of 49 studies published between 2013 and 2024 was carried out using PubMed, Web of Science, and various Chinese databases. The primary challenges identified include teaching innovation (cited in 84.2% of the studies), research pressure (91.2%), disciplinary characteristics (87.7%), and career development (80.7%). Medical schools have responded by enhancing training systems (94.7%), innovating teaching methods (93.0%), and bolstering research support (96.5%). Looking ahead, trends are shifting toward the application of new technologies, interdisciplinary integration, and international collaboration. The focus on cultivating young teachers is increasingly geared towards personalization and diversification, which are essential for advancing education in pathophysiology. High-quality young teachers are pivotal in raising teaching standards, fostering research innovation, and facilitating interdisciplinary exchanges. Based on these insights, we recommend several practical measures to enhance the quality of pathophysiology education in China. These include establishing comprehensive training programs that integrate teaching innovation and research skills; developing structured mentorship systems with clear pathways for career advancement; creating platforms that support technology-enhanced teaching and international collaboration; and implementing systematic evaluation mechanisms to assess teaching effectiveness. These targeted interventions will require a coordinated effort from department heads, educational institutions, and policymakers to ensure a sustained improvement in the quality of pathophysiology education.

This narrative review examines the challenges, strategies, and future directions in the development of young teachers within the pathophysiology departments of Chinese medical colleges. A thorough review of 49 studies published between 2013 and 2024 was carried out using PubMed, Web of Science, and various Chinese databases. The primary challenges identified include teaching innovation (cited in 84.2% of the studies), research pressure (91.2%), disciplinary characteristics (87.7%), and career development (80.7%). Medical schools have responded by enhancing training systems (94.7%), innovating teaching methods (93.0%), and bolstering research support (96.5%). Looking ahead, trends are shifting toward the application of new technologies, interdisciplinary integration, and international collaboration. The focus on cultivating young teachers is increasingly geared towards personalization and diversification, which are essential for advancing education in pathophysiology. High-quality young teachers are pivotal in raising teaching standards, fostering research innovation, and facilitating interdisciplinary exchanges. Based on these insights, we recommend several practical measures to enhance the quality of pathophysiology education in China. These include establishing comprehensive training programs that integrate teaching innovation and research skills; developing structured mentorship systems with clear pathways for career advancement; creating platforms that support technology-enhanced teaching and international collaboration; and implementing systematic evaluation mechanisms to assess teaching effectiveness. These targeted interventions will require a coordinated effort from department heads, educational institutions, and policymakers to ensure a sustained improvement in the quality of pathophysiology education.