Abstract Traditional Chinese medicine (TCM) has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder. However, its widespread application has been hindered by the unclear biological essence of TCM syndromes and therapeutic mechanisms. As an emerging interdisciplinary field, phenomics integrates multi-dimensional data including genome, transcriptome, proteome, metabolome, and microbiome. When combined with TCM's holistic philosophy, it forms TCM phenomics, providing novel approaches to reveal the biological connotation of TCM syndromes and the mechanisms of herbal medicine. Taking glycolipid metabolism disorder as an example, this paper explores the application of TCM phenomics in glycolipid metabolism disorder. By analyzing molecular characteristics of related syndromes, TCM phenomics identifies differentially expressed genes, metabolites, and gut microbiota biomarkers to elucidate the dynamic evolution patterns of syndromes. Simultaneously, it deciphers the multi-target regulatory networks of herbal formulas, demonstrating their therapeutic effects through mechanisms including modulation of insulin signaling pathways, improvement of gut microbiota imbalance, and suppression of inflammatory responses. Current challenges include the subjective nature of syndrome diagnosis, insufficient standardization of animal models, and lack of integrated multi-omics analysis. Future research should employ machine learning, multimodal data integration, and cross-omics longitudinal studies to establish quantitative diagnostic systems for syndromes, promote the integration of precision medicine in TCM and western medicine, and accelerate the modernization of TCM.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

OBJECTIVE To study the ameliorative effect and potential mechanism of curcumin on diabetes model rats with depression based on cAMP response element binding protein （CREB）/brain-derived neurotrophic factor （BDNF） signaling pathway. METHODS The diabetes model rat with depression was established by high fat and high sugar diet+intraperitoneal injection of streptozotocin+chronic unpredictable stress-induced depression. The successfully modeled rats were randomly divided into model group， positive control group （0.18 g/kg metformin and 1.8 mg/kg fluoxetine， gavage）， curcumin low-dose and high-dose groups （30， 60 mg/kg， gavage） and curcumin high-dose+CREB inhibitor group [60 mg/kg curcumin （gavage）+5 mg/kg CREB inhibitor 666-15 （intraperitoneal injection）]， with 12 rats in each group. Another 12 healthy rats were selected as the normal group. Each group was given a corresponding intervention for 4 weeks， the fasting blood glucose level of rats was detected， and the depression of rats was assessed. The levels of corticosterone （CORT） and inflammatory factors [tumor necrosis factor-α （TNF-α）， interleukin- 1β （IL-1β）， IL-6] in serum， and the levels of norepinephrine （NE） and 5-hydroxytryptamine （5-HT） in hippocampal tissue were determined. The pathological changes and neuronal apoptosis were observed in the hippocampal tissue of rats in each group； the expression levels of CREB， BDNF mRNA and protein in hippocampal tissue were detected. RESULTS Compared with the normal group， the hippocampal tissue of rats in the model group was severely damaged， and neurons were scattered， while the fasting blood glucose， the forced swimming immobility time， the tail suspension immobility time， serum levels of CORT， TNF-α， IL-1β and IL-6， and neuron apoptosis indexes were all increased or prolonged significantly （P＜0.05）. The levels of NE and 5-HT， the number of surviving neurons， and the expression levels of CREB and BDNF mRNA and protein in hippocampal tissue were decreased significantly （P＜0.05）. Compared with the 的model group， the damage to hippocampal tissue was relieved in the positive control group and curcumin groups， while the above indexes were improved significantly （P＜0.05）. The improvement effect of curcumin high-dose group was better than that of curcumin low-dose group （P＜0.05）. CREB inhibitor could significantly reverse the ameliorative effect of high-dose curcumin on the model rats （P＜0.05）. CONCLUSIONS Curcumin can improve the depression of diabetes model rats with depression， and relieve neuronal damage and inflammatory response， the mechanism of which may be associated with activating CREB/BDNF signaling pathway.

Diabetic gastroenteropathy is a serious chronic complication that accompanies the progression of diabetes mellitus， severely impacting patients' quality of life and overall health. Nearly half of diabetic patients experience symptoms such as nausea， vomiting， early satiety， abdominal distension， and abdominal pain， which increases their anxiety and depression， prompting frequent medical visits and further burdening the healthcare system. In-depth research into the pathogenesis of diabetic gastroenteropathy has identified several core mechanisms， including hyperglycemia， autonomic and enteric nervous system dysfunction， abnormal secretion of gastrointestinal hormones， macrophage polarization， brain-gut axis dysregulation， microRNA deficiency， and oxidative stress-induced damage and apoptosis of interstitial cells of Cajal （ICC）. Current clinical treatments mainly rely on prokinetic and antiemetic drugs. However， their notable adverse effects and diminishing efficacy with long-term use remain pressing issues. Traditional Chinese medicine （TCM）， with its unique theoretical framework and extensive practical experience， potent in prescription formulation and acupoint selection guided by holistic concepts and syndrome differentiation， has gradually become an important option for treating diabetic gastroenteropathy. Numerous studies have confirmed that mechanisms include improving gastrointestinal hormone secretion， repairing ICC damage， regulating the nervous system， reducing oxidative stress， and modulating the brain-gut axis. These findings provide new insights into the treatment of diabetic gastroenteropathy. This article summarized the pathogenesis of diabetic gastroenteropathy and reviewed recent research on Chinese medicine and acupuncture-moxibustion therapy in improving gastrointestinal motility for diabetic gastroenteropathy treatment， aiming to offer clinical treatment insights and highlight the need for further research to explore comprehensive and individualized treatment approaches， providing better strategies for managing diabetic gastroenteropathy.

Objective:To understand the monkeypox knowledge awareness, risk perception and vaccination intention in men who have sex with men (MSM) in five cities in northeast China.Methods:A cross-sectional study was conducted by using electronic questionnaire in MSM selected by convenience sampling in five cities in northeast China (Shenyang, Panjin, Changchun, Harbin and Jiamusi) from June 28 to July 8, 2023 by local centers for disease control and prevention and MSM communities. The sample size was estimated to be 220. Information about their demographics, monkeypox-related knowledge awareness, perceived concern about epidemic risk perception, and monkeypox vaccination intention were collected. Logistic regression model was used to analyze related factors for MSM's monkeypox vaccination intention.Results:In 355 MSM, 63.9% (227/355) had monkeypox vaccination intentions, and 55.5% (197/355) had high awareness of monkeypox related knowledge with a mean knowledge awareness score of 3.7±1.5. MSM with education level of high-school and above (a OR=1.93, 95% CI:1.01-3.69), higher knowledge awareness score (a OR=1.19, 95% CI:1.02-1.40) and higher risk perception of monkeypox infection (a OR=1.82, 95% CI:1.15-2.88), were more willing to receive monkeypox vaccination. The main reasons for willingness to receive monkeypox vaccine were preventing monkeypox (86.3%, 196/227) and worrying about appearance being affected (62.1%, 141/227). The main reasons for unwillingness for the vaccination included concerns about vaccine safety (53.1%, 68/128), clinical progression of AIDS being affected (46.1%, 59/128) and efficacy of antiretroviral therapy being affected (44.5%, 57/128). Conclusions:The levels of knowledge awareness and vaccine intentions still need to be improved among MSM in five cities of northeast China. It is necessary to improve the awareness of monkeypox and intention of monkeypox vaccination, promote protected sex behavior and self-assessment of infection risk, reduce vaccine hesitancy and increase monkeypox vaccination intention in MSM in 5 cities in northeast China.

OBJECTIVE To analyse current availability of pediatric drugs in China quantitatively and provide fundamental data support for optimizing the incentive policy. METHODS Based on national drug coding database issued by National Medical Products Administration, the marketed drugs were classified into children's only drug, adult-children's drug, children's inferred drug and non-children's drug by consulting the drug instructions through the approval number. Taking children's only drug and adult-children's drug as the key subjects, this paper carried out statistics and analysis on the marketing status of pediatric drugs in China from the perspectives of approval, variety, dosage form, specification, distribution of treatment fields, enterprise and so on. RESULTS Among the marketed drugs, there were 4 229 approvals for pediatric drugs and 44 112 approvals for adult-children's drugs, accounting for 2.99% and 31.19% respectively. children's only drug had 625 varieties, accounting for 18.83% of the total pediatric drug varieties. Analgesic, antipyretic, anti-inflammatory, anti-rheumatic and anti-gout drugs accounted for 55.71% of the total approvals for children's only drug(chemicals and biologics, excluding vaccines), and expectorant, antitussive and antiasthmatic agents accounted for 26.71% of total approvals for children's only drug (traditional Chinese medicine), but there were 16 and 19 treatment fields respectively were <1.00%; among the oral dosage forms, oral liquid accounted for 21.46%, while tablet, capsule, pill and other oral solid accounted for 37.51%. In the last 10 years of domestic drugs on the market, the number of approvals for regulation of water, electrolytes and acid-base balance drugs, analgesic, antipyretic, anti-inflammatory, anti-rheumatic, anti-gout drugs and respiratory drugs accounted for 64.29% of children's only drug(chemicals and biologics, excluding vaccines), the number of approvals for internal medicine-expectorant, antitussive, antiasthmatic agent, exterior-relieving agent and heat-clearing agent accounted for 61.70% of children's only drug(traditional Chinese medicine). CONCLUSION There has been a certain basis for the marketing of pediatric drugs in China, but children's only drugs are few overall. The availability of pediatric drugs varies significantly among treatment fields. Some fields are in short supply, while others are in excess supply. Most fields are difficult to meet the drug demand of children, and the R&D and production of children's only drug is still concentrated on traditionally strong fields.

Objective To analyze the clinical efficacy and safety of transcatheter arterial chemoembolization(TACE)combined with lenvatinib and PD-1 antibody in the treatment of intermediate-advanced hepatocellular carcinoma(HCC).Methods A retrospective cohort trial was conducted on 105 patients with intermediate-advanced HCC(BCLC B or C stage)treated with TACE combined with lenvatinib and PD-1 antibody in our institute from January 2021 to June 2023.The blood biochemical indicators and imaging characteristics of the patients were collected before and after TACE.Objective response rate(ORR),disease control rate(DCR),conversion resection rate,overall survival(OS)and progression-free survival(PFS)were analyzed to evaluate the clinical efficacy of the triple therapy,and the frequency and severity of all adverse reactions during treatment were recorded to evaluate the safety of the therapy.Results Among the 105 patients with intermediate-advanced HCC who received triple therapy,33 died and 72 survived.The ORR was 62.8％and the DCR was 72.3％.The conversion resection rate was 11.4％.The median OS(mOS)was not reached.The median PFS(mPFS)was(10.3±0.8)months.The incidence of adverse reactions of all grades was 97.1％,and the incidence of those of grade 3～4 was 33.3％.No treatment-related death occurred.Conclusion The triple therapy of TACE combined with lenvatinib and PD-1 antibody is a safe and effective comprehensive treatment regimen,which provides a new treatment strategy for improving the prognosis of intermediate-advanced HCC.

We report a case of a long-term survivor of heart transplant who developed severe COVID-19 and was treated with a traditional Chinese medicine combined with conventional medicine. Throughout the treatment， the patient received active conventional medical treatment， and traditional Chinese medicine interventions included tonifying qi， invigorating the spleen and transforming phlegm， promoting yang and eliminating stagnation， resolving dampness and dissipating phlegm， and promoting blood circulation and eliminating stasis. The main therapeutic principles adopted were to recuperating depleted yang and rescuing the patient from collapse and to resolve phlegm and promote water. Pogezilong Xuanbai Chengqi Decoction （破格子龙宣白承气汤） with modifications was administered. In summary， it is crucial to the timely adjust the immunosuppressive regimen， combine use of various anti-infective agents with a focus on COVID-19， to protect of cardiac and renal function， and to integrate traditional Chinese medicine in the entire treatment process. As this case is rare， the diagnostic and therapeutic methods in traditional Chinese medicine， the use of immunosuppressive agents， and follow-up monitoring strategies can be a valuable reference.