ObjectiveTo systematically review the modeling methods and analyzes the model alignment with clinical features of primary dysmenorrhea （PD） in both traditional Chinese medicine （TCM） and western medicine， providing theoretical and practical guidance for establishing the animal models of PD that better reflect the diagnostic and therapeutic characteristics of both TCM and western medicine. MethodsThe literature on PD animal models was searched against domestic and international databases such as PubMed， CNKI， and Wanfang Data. According to the diagnostic criteria of TCM and western medicine， the modeling methods in the literature were summarized， evaluated for strengths and weaknesses， and systematically assessed for clinical concordance rates to identify suitable reference models. ResultsThe available animal models of PD showed the average clinical concordance rates of 43.64% and 61.27% with the clinical features in TCM and western medicine， respectively. Commonly used modeling methods included estrogen administration， physical stimulation， and surgical intervention， with the estrogen combined with oxytocin model and the ice-water bath model being the most studied. The model of Qi stagnation and blood stasis syndrome that was established with the comprehensive stimulation method demonstrated the highest clinical concordance rate. ConclusionCurrent PD animal models primarily replicate dysmenorrhea and simulate menstruation， but they differ from human menstruation to some extent and cannot fully reflect the pathogenesis and physiological characteristics of PD. Moreover， except the cold coagulation and dampness stagnation syndrome and Qi stagnation and blood stasis syndrome， no animal models for other TCM syndromes have been reported， which limits comprehensive TCM research on this disease to a certain extent.

ObjectiveTo systematically review the modeling methods and analyzes the model alignment with clinical features of primary dysmenorrhea （PD） in both traditional Chinese medicine （TCM） and western medicine， providing theoretical and practical guidance for establishing the animal models of PD that better reflect the diagnostic and therapeutic characteristics of both TCM and western medicine. MethodsThe literature on PD animal models was searched against domestic and international databases such as PubMed， CNKI， and Wanfang Data. According to the diagnostic criteria of TCM and western medicine， the modeling methods in the literature were summarized， evaluated for strengths and weaknesses， and systematically assessed for clinical concordance rates to identify suitable reference models. ResultsThe available animal models of PD showed the average clinical concordance rates of 43.64% and 61.27% with the clinical features in TCM and western medicine， respectively. Commonly used modeling methods included estrogen administration， physical stimulation， and surgical intervention， with the estrogen combined with oxytocin model and the ice-water bath model being the most studied. The model of Qi stagnation and blood stasis syndrome that was established with the comprehensive stimulation method demonstrated the highest clinical concordance rate. ConclusionCurrent PD animal models primarily replicate dysmenorrhea and simulate menstruation， but they differ from human menstruation to some extent and cannot fully reflect the pathogenesis and physiological characteristics of PD. Moreover， except the cold coagulation and dampness stagnation syndrome and Qi stagnation and blood stasis syndrome， no animal models for other TCM syndromes have been reported， which limits comprehensive TCM research on this disease to a certain extent.

OBJECTIVE To provide references for pharmaceutical care in the anti-infective treatment of disseminated Talaromyces marneffei （TM）osteomyelitis complicated with pulmonary tuberculosis in a human immunodeficiency virus （HIV）-negative patient. METHODS Clinical pharmacists participated in the entire treatment process of a HIV-negative patient with disseminated TM osteomyelitis complicated by pulmonary tuberculosis. The pharmacist assisted the clinician in formulating an individualized treatment plan and improving the diagnosis based on the patient’s clinical symptoms， signs， laboratory tests， and imaging findings. Recommendations included the use of amphotericin B cholesteryl sulfate complex for antifungal therapy， the completion of a tuberculin skin test and sputum acid-fast bacilli test. The pharmacist monitored the patient’s clinical manifestations and laboratory results in real time. Upon timely detection of hypokalemia in the patient， after analyzing the causes， oral and then intravenous potassium supplementation was sequentially recommended， along with adjustments to the treatment plan （switching to itraconazole and combining it with a four-drug antituberculosis regimen of isoniazid+rifampicin+pyrazinamide+ethambutol）. Meanwhile， monitoring of itraconazole blood concentration was also advised. Additionally， the clinical pharmacist closely monitored the patient’s medication adherence and provided medication education. RESULTS The clinicians accepted the clinical pharmacist’s recommendations. The patient improved after treatment and was discharged. One-year follow-up showed that the patient was cured without adverse reactions. CONCLUSIONS Amphotericin B cholesteryl sulfate complex is an effective therapeutic agent for disseminated TM osteomyelitis in HIV-negative patients. Prolonging the course of treatment can prevent recurrence. During therapy， clinical pharmacists should strengthen pharmaceutical care as well as provide medication and health education to ensure patient safety.

Glaucoma is a multifactorial degenerative optic neuropathy, and its irreversible and blinding pathological characteristics mainly come from the damage to the optic nerve, namely glaucomatous optic neuropathy(GON). The difficulty in the treatment of GON lies in the early intervention, and currently there is no optic neuroprotective drug for the treatment of all types of GON. The death of retinal ganglion cells(RGCs)is the core pathological change caused by various pathogenic mechanisms of GON. Recent studies have found that the widespread second messenger cyclic adenosine 3', 5' -monophosphate(cAMP)and its downstream effector protein kinase A(PKA)signal cascade play an important role in the pathogenesis of GON. It can also inhibit the apoptosis of RGCs and play a protective and therapeutic role in glaucoma. Therefore, this article reviews the role of cAMP/PKA pathway in the pathophysiological development of GON, focusing on its effects on glaucoma intraocular pressure regulation, oxidative stress, neuroinflammation and optic nerve degeneration, in order to find a common central regulatory target for the optic nerve damage caused by different pathological mechanisms of GON and promote the further understanding and clinical treatment of this disease.

Objective: To map the research hotspots, developmental trends, and existing challenges in the integration of artificial intelligence (AI) with multi-omics in traditional Chinese medicine (TCM) through comprehensive bibliometric analysis. Methods: China National Knowledge Infrastructure (CNKI), Wanfang Data, China Science and Technology Journal Database (VIP), Chaoxing Journal Database, PubMed, and Web of Science were searched to collect literature on the theme of AI in TCM multi-omics research from the inception of each database to December 31, 2024. Eligible records were required to simultaneously address AI, TCM, and multi-omics. Quantitative and visual analyses of publication growth, core authorship networks, institutional collaboration patterns, and keyword co-occurrence were performed using Microsoft Excel 2021, NoteExpress v4.0.0, and Cite Space 6.3.R1. AI application modes in TCM multi-omics research were also categorized and summarized. Results: A total of 1 106 articles were enrolled (932 Chinese and 174 English). Publication output has increased continuously since 2010 and accelerated after 2016. Region-specific collaboration clusters were identified, dominated by Beijing University of Chinese Medicine, China Academy of Chinese Medical Sciences, Shanghai University of Traditional Chinese Medicine, and Nanjing University of Chinese Medicine. Keyword co-occurrence analysis revealed that current AI applications predominantly centered on metabolomics and algorithms such as cluster analysis and data mining. Research foci mainly ranked as follows: single herbs, herbal formulae, and disease-syndrome differentiation. Conclusion Machine learning methods are the predominant integrative modality of AI in the realm of TCM multi-omics research at present, utilized for processing omics data and uncovering latent patterns therein. The domain of TCM, in addition to investigating omics information procured through high-throughput technologies, also integrates data on traditional Chinese medicinal substances and clinical phenotypes, progressing towards joint analysis of multi-omics, high-dimensionality of data, and multi-modality of information. Deep learning approaches represent an emerging trend in the field.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

ObjectiveTo investigate the trend and influencing factors of newly reported human immunodeficiency virus (HIV) positivity rate among men who had sex with men (MSM) in Shanghai from 2021 to 2024, and to provide evidence for formulating scientific prevention and control measures of AIDS. MethodsMultiple rounds of cross-sectional questionnaire surveys were conducted among MSM by Shanghai Qing’ai Health Promotion Center. Pearson and Cochran-Armitage trend χ² tests were used to analyze the differences and changes in population characteristics and newly reported HIV positivity rates. A logistic regression model was applied for multivariate analyses of factors associated with newly reported HIV positivity. ResultsA total of 1 653 MSM who had not been previously diagnosed with HIV infection were surveyed. The newly reported HIV positivity rates in 2021, 2023, and 2024 were 7.87%, 3.91%, and 3.06%, respectively, showing a decreasing trend (χ²_trend=13.460, P_trend<0.001). Multivariate analyses revealed that MSM aged 18‒<25 years, residing locally for <1 year, identifying as bisexual, lacking HIV knowledge, and having ≥10 same-sex partners in the past 6 months exhibited higher newly reported HIV positivity rates. Conversely, MSM knowledgeable about HIV prevention, residing locally for 1‒5 years, and engaging in oral sex with male partners in the past 6 months demonstrated lower HIV positivity rates. Annual analyses revealed that MSM with HIV knowledge had lower newly reported HIV positivity rates in 2023 and 2024 (aOR=0.300, 95%CI: 0.811‒0.111; aOR=0.202, 95%CI: 0.085‒0.483). ConclusionThe newly reported HIV positivity rate among MSM in Shanghai from 2021 to 2024 showed a decline. Future interventions should focus on young and mobile MSM, strengthen HIV knowledge education through platforms such as the internet, promote safe sexual behaviors and regular testing, and further expand the coverage of pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP) to control HIV transmission within this population.

Objective To investigate the reproductive and developmental effects of Clothianidin in rats. Methods Clothianidin was administrated by diet to both parental and first filial (F 1) generations of rats at the dosages of 0, 30.51, 110.84 and 304.26 mg/(kg·d) in females, and 0, 26.45, 92.69 and 279.42 mg/(kg·d) in males. Clothianidin was administered through diet to male and female rats for 8 weeks before mating. Clothianidin was administered to female rats in the parental and F1 generations during mating, gestation and lactation periods. During the test, toxicity performance was observed, reproduction index was calculated, and pathological examination was carried out. Results The body weights of rats in the parent and F1 generations in the high-dose group were lower than those in the control group during pre-mating exposure and at various time points during pregnancy and lactation (P<0.05). The pregnancy rates of parental and F1 generations in the high-dose group were lower than those of the control group (48.57% vs 71.43%, 45.71% vs 80.00%, P＜0. 05). Sperm concentration and sperm motility of the parental generation were lower than those of the control group [(42.55±12.87) vs (53.84±7.65) ×106/ml, (58.94±10.59) vs (65.59±6.03), （P＜0.05）]. Sperm concentration and sperm motility of the F1 generation were lower than those of the control group [(41.64±12.42) vs (53.09±9.48), (55.13±9.19) vs (64.53±6.31), (P＜0.05). Conclusion Exposure to clothianidin has reproductive toxicity to Wistar rats, and the no-observed adverse effect level (NOAEL) in the two-generation reproductive toxicity test is 92.69 mg/kg·BW for males and 110.84 mg/kg·BW for females in Wistar rats.

Objective To investigate the reproductive and developmental effects of Clothianidin in rats. Methods Clothianidin was administrated by diet to both parental and first filial (F 1) generations of rats at the dosages of 0, 30.51, 110.84 and 304.26 mg/(kg·d) in females, and 0, 26.45, 92.69 and 279.42 mg/(kg·d) in males. Clothianidin was administered through diet to male and female rats for 8 weeks before mating. Clothianidin was administered to female rats in the parental and F1 generations during mating, gestation and lactation periods. During the test, toxicity performance was observed, reproduction index was calculated, and pathological examination was carried out. Results The body weights of rats in the parent and F1 generations in the high-dose group were lower than those in the control group during pre-mating exposure and at various time points during pregnancy and lactation (P<0.05). The pregnancy rates of parental and F1 generations in the high-dose group were lower than those of the control group (48.57% vs 71.43%, 45.71% vs 80.00%, P＜0. 05). Sperm concentration and sperm motility of the parental generation were lower than those of the control group [(42.55±12.87) vs (53.84±7.65) ×106/ml, (58.94±10.59) vs (65.59±6.03), （P＜0.05）]. Sperm concentration and sperm motility of the F1 generation were lower than those of the control group [(41.64±12.42) vs (53.09±9.48), (55.13±9.19) vs (64.53±6.31), (P＜0.05). Conclusion Exposure to clothianidin has reproductive toxicity to Wistar rats, and the no-observed adverse effect level (NOAEL) in the two-generation reproductive toxicity test is 92.69 mg/kg·BW for males and 110.84 mg/kg·BW for females in Wistar rats.

Pre-admission is a critical initiative to optimize medical service processes and alleviate the challenge of "difficult access to healthcare. "However, there is currently a lack of standardized protocols for pre-admission procedures. This study aims to systematically analyze key nodes and risk factors in pre-admission process design and propose optimization strategies, providing a foundation for policy formulation and hospital practices. By constructing a "forward-reverse" dual-process model of pre-admission and identifying risk points based on stakeholder theory (patients, hospitals, healthcare administration, and insurance), the study reveals that while pre-admission can reduce the average length of stay, improve bed turnover rates, and enhance patient satisfaction, it also presents risks such as cross-period financial settlement, challenges in insurance policy adaptability, demands for information system integration, and the need for defining medical safety boundaries. To optimize the pre-admission process and mitigate these risks, this study explores framework improvements in areas including eligibility criteria, mode selection, cost settlement, transition between pre-admission and inpatient status, and cancellation of pre-admission, offering practical guidance for public hospitals. The authors argue that pre-admission requires tripartite collaboration among hospitals, insurers, and healthcare administrations: hospitals should establish top-level design, continuously refine processes, and implement dynamic risk assessment mechanisms; insurance providers should support cross-period settlement policies; and healthcare administrations should issue guiding policies or standardized protocols. Through multi-department coordination and collaborative efforts, the optimization and innovation of pre-admission processes can be advanced, ultimately delivering more efficient and convenient healthcare experiences for patients.