Malignant tumors represent a major threat to global health. Conventional anti-tumor pharmacotherapy often encounters challenges such as drug resistance, highlighting an urgent need for the development of novel therapeutic strategies. Fatty acid synthase (FASN), the key enzyme catalyzing de novo fatty acid synthesis, is subject to precise regulation at multiple levels, including transcriptional control, various post-translational modifications such as ubiquitination and phosphorylation, as well as modulation by diverse signaling pathways. Recent studies have revealed that FASN is aberrantly overexpressed in various malignant tumors and is closely associated with tumor progression and poor patient prognosis. FASN is a homodimer composed of seven functional domains that catalyzes the NADPH-dependent condensation of acetyl-CoA and malonyl-CoA to generate saturated fatty acids, primarily palmitic acid. Its stability is regulated by multiple ubiquitin ligases and deubiquitinating enzymes. Additionally, FASN is subject to upstream regulation via neural precursor cell-expressed developmentally downregulated 8 (Nedd8) modification and the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway, thereby establishing a metabolic-signaling positive feedback loop. As a core executor of metabolic reprogramming, FASN promotes tumorigenesis through dual mechanisms. First, its fatty acid synthesis product, palmitate, participates in membrane phospholipid synthesis, lipid raft formation, and protein palmitoylation, thereby activating several key oncogenic signaling pathways, including PI3K/AKT/mTOR, wingless-type MMTV integration site family member (Wnt)/β‑catenin, and signal transducer and activator of transcription 3 (STAT3)/matrix metalloproteinase (MMP), leading to tumor development and progression. Second, FASN plays a pivotal role in modulating the anti-tumor functions of immune cells and remodeling the tumor immune microenvironment. Specifically, FASN enhances immune checkpoint inhibition by inducing programmed death-ligand 1 (PD-L1) palmitoylation, suppresses the activation of cytotoxic T lymphocytes and natural killer cells, and promotes the polarization of M2-type macrophages, consequently facilitating tumor immune evasion and malignant progression. Precisely due to its significant overexpression in tumor cells, its critical functional role, and its differential expression compared to normal cells, FASN has emerged as a highly promising target for anti-tumor drug development. Highly selective small-molecule inhibitors, notably represented by TVB-2640, have advanced to clinical trial stages and demonstrated favorable anti-tumor activity. Furthermore, the combination of FASN inhibitors with other chemotherapeutic agents or targeted drugs can overcome the limitations of monotherapy through synergistic effects or by resensitizing tumor cells to conventional drugs, achieving a “1+1>2” therapeutic outcome. With the advancement of modern traditional Chinese medicine (TCM), numerous active ingredients derived from TCM have been confirmed to exert anti-tumor effects by modulating FASN-related pathways. This integrated approach leverages the precision of Western medicine while simultaneously harnessing the holistic regulatory benefits of TCM to alleviate the side effects of radiotherapy and chemotherapy. Despite the promising prospects of FASN-targeted therapies, challenges remain, including tumor cell metabolic plasticity, tumor context-dependent responses, and heterogeneity. This review systematically summarizes the molecular structure, physiological functions, and mechanisms of FASN in tumorigenesis, as well as recent advances in targeted therapies. Future directions—including the precise identification of responsive patient populations using spatial transcriptomics, the development of novel combination regimens, and the active exploration of integrative strategies combining traditional Chinese and Western medicine—will facilitate the clinical translation of FASN-targeted therapies and open new avenues for improving the quality of life and prognosis of cancer patients.

Objective:To investigate the association of lipid accumulation product(LAP),triglyceride glucose index(TyG)with the risk of coronary heart disease(CHD).Methods:A total of 433 patients admitted to Department of Cardiology,Cangzhou People's Hospital for chest pain between February 2021 and December 2021 were included and divided into case group(n=236)and control group(n=197)according to the results of coronary angiography.Gen-eral data,LAP,TyG and other biochemical indexes were compared between two groups.The subjects were grouped according to LAP and TyG quartiles(L1,L2,L3,L4;T1,T2,T3,T4),and different Logistic regression models were constructed to analyze the association of different LAP,TyG levels with the risk of CHD using the L1 group and the T1 group as references,respectively,and receiver operating characteristic(ROC)curve of LAP and TyG predicting risk of CHD were drawn.Results:Compared with participants in control group,those in case group had significant higher proportions of smoking(27.60％ vs.19.80％),diabetes(21.61％ vs.14.21％),hypertension(38.14％ vs.28.43％),dyslipidemia(36.86％ vs.24.87％)and body mass index(BMI)[(25.97±3.90)kg/m2 vs.(25.11±3.56)kg/m2],waist circumference[(85.44±5.39)cm vs.(83.59±5.39)cm],uric acid[325.50(270.25,378.25)μmol/L vs.300.00(245.00,365.00)μmol/L],homocysteine[13.34(10.90,16.46)μmol/L vs.12.27(10.26,15.00)μmol/L],leucocytes[(6.07±1.52)× 109/Lvs.(5.75±1.43)×109/L],LAP[39.84(30.06,59.02)vs.30.06(21.85,44.78)],and TyG[(8.86±0.57)vs.(8.56±0.60)](P＜0.05 or＜0.01).Multifactorial Logistic regression analysis showed that after adjusting for each risk factor,risk of CHD in L3 and L4 groups were significantly higher than that of L1 group,and risk of CHD in T3 and T4 groups were significantly higher than that of T1 group(P＜0.05 or＜0.01).ROC curve analysis showed that the area under curve(AUC)of LAP and TyG predicting the risk of CHD was 0.656(95％CI 0.609～0.701),0.665(95％CI 0.618～0.709)re-spectively,and the critical value was 30.21 and 8.73 respectively.Conclusion:LAP and TyG are risk factors for CHD,and with the elevation of their levels,the risk of CHD gradually increases.

Objective:To explore the influencing factors of post-percutaneous coronary intervention(PCI)positivity in young and middle-aged patients with acute myocardial infarction(AMI)and simultaneously assess its mediating effect in the relationship between illness-related shame and psychosocial adjustment.Methods:A total of 178 patients,who admit-ted in Cangzhou People's Hospital between October 2021 and December 2022 for AMI,underwent PCI,and were subse-quently defined as frailty after PCI,were selected.General demographic information survey forms,Patient Activation Measure(PAM),Social Impact Scale(SIS),and Psychosocial Adjustment to Illness Scale Self-Report(PAIS-SR)were applied to investigate the patients.Clinical data characteristics of the patients were analyzed.Pearson correlation analysis was conducted to investigate the association among PAM score,SIS score and PAIS-SR score.Multivariate linear stepwise regression analysis was employed to identify the influencing factors of positivity.The Bootstrap procedure in the Process plugin was used to validate the mediating effect of positivity between illness-related shame and psychosocial adjustment.Results:In this study,PAM score was(57.87±7.02)points,SIS score was(52.07±12.66)points,and PAIS-SR score was(61.07±10.58)points.Pearson correlation analysis indicated that PAM score was significant negatively correlated with SIS score and PAIS-SR score(r=-0.439,-0.504,P＜0.001 all),and SIS score was significant positively corre-lated with PAIS-SR score(r=0.722,P＜0.001).Multivariate linear stepwise regression analysis indicated that male(B=2.226,P=0.020),educational level(B=2.194,P=0.005)and stigma associated with illness(B=-0.210,P＜0.001)can influence the postoperative positivity of patients.Mediation effect analysis indicated that illness-related shame had a direct effect on psychosocial adjustment,accounting for 85.92％of the total effect,while positivity partially media-ted the relationship between illness-related shame and psychosocial adjustment with an effect size of 14.08％.Conclusion:Illness-related shame not only directly affects the psychosocial adjustment in frailty AMI patients after PCI,but also exerts an indirect influence on it through positivity.Medical staff should implement targeted strategies to enhance patients'positiv-ity,thereby reducing the negative impact of illness-related shame on psychosocial adjustment.

Objective:Using ecological niche width and situation model,the operation and management of public Traditional Chinese Medicine(TCM)hospitals in 16 cities in Shandong Province were evaluated to put forward countermeasures.Methods:The relevant index data of public TCM hospitals in 16 cities in Shandong Province from 2019 to 2022 were collected to analyze the development status.The ecological niche width model and niche situation model were applied to evaluate the operation and management of public TCM hospitals in 16 cities in Shandong.Results:The top three public TCM hospitals in terms of average ecological niche width were City G,City P and City F.The ecological niche situation value of public TCM hospitals in City K,City A and City J ranked the top three.Conclusion:The dimensions of operation management structure of public TCM hospitals in Shandong need to be enhanced and the development of operation management space needs to be balanced.It is feasible to evaluate operation management by using ecological niche width and situation model.It is suggested to improve the allocation efficiency of health personnel,facilities,funds and other resources;promote the spatial balanced development of operation management;promote the application of ecological niche width and situation model in the field of medicine and health management.

Objective:To explore the influencing factors of post-percutaneous coronary intervention(PCI)positivity in young and middle-aged patients with acute myocardial infarction(AMI)and simultaneously assess its mediating effect in the relationship between illness-related shame and psychosocial adjustment.Methods:A total of 178 patients,who admit-ted in Cangzhou People's Hospital between October 2021 and December 2022 for AMI,underwent PCI,and were subse-quently defined as frailty after PCI,were selected.General demographic information survey forms,Patient Activation Measure(PAM),Social Impact Scale(SIS),and Psychosocial Adjustment to Illness Scale Self-Report(PAIS-SR)were applied to investigate the patients.Clinical data characteristics of the patients were analyzed.Pearson correlation analysis was conducted to investigate the association among PAM score,SIS score and PAIS-SR score.Multivariate linear stepwise regression analysis was employed to identify the influencing factors of positivity.The Bootstrap procedure in the Process plugin was used to validate the mediating effect of positivity between illness-related shame and psychosocial adjustment.Results:In this study,PAM score was(57.87±7.02)points,SIS score was(52.07±12.66)points,and PAIS-SR score was(61.07±10.58)points.Pearson correlation analysis indicated that PAM score was significant negatively correlated with SIS score and PAIS-SR score(r=-0.439,-0.504,P＜0.001 all),and SIS score was significant positively corre-lated with PAIS-SR score(r=0.722,P＜0.001).Multivariate linear stepwise regression analysis indicated that male(B=2.226,P=0.020),educational level(B=2.194,P=0.005)and stigma associated with illness(B=-0.210,P＜0.001)can influence the postoperative positivity of patients.Mediation effect analysis indicated that illness-related shame had a direct effect on psychosocial adjustment,accounting for 85.92％of the total effect,while positivity partially media-ted the relationship between illness-related shame and psychosocial adjustment with an effect size of 14.08％.Conclusion:Illness-related shame not only directly affects the psychosocial adjustment in frailty AMI patients after PCI,but also exerts an indirect influence on it through positivity.Medical staff should implement targeted strategies to enhance patients'positiv-ity,thereby reducing the negative impact of illness-related shame on psychosocial adjustment.

A scoping review was performed to systematically search and summarize the clinical research in the treatment of dysmenorrhea with oral Chinese patent medicines. The oral Chinese patent medicines for treating dysmenorrhea in three major drug lists, guidelines, and textbooks were screened, and the relevant clinical trials were retrieved from eight Chinese and English databases. The key information of the included trials was extracted and visually analyzed. A total of 50 Chinese patent medicines were included, among which oral Chinese patent medicines for the dysmenorrhea patients with the syndrome of Qi stagnation and blood stasis accounted for the highest proportion, and the average daily cost varied greatly among Chinese patent medicines. A total of 150 articles were included, involving 22 Chinese patent medicines, among which Guizhi Fuling Capsules/Pills, Sanjie Zhentong Capsules, and Dan'e Fukang Soft Extract were the most frequently studied. These articles mainly reported randomized controlled trial(RCT), which mainly focused on the comparison of the intervention effect between Chinese patent medicines combined with western medicine and western medicine alone, and the sample size was generally 51-100 cases. The high-frequency outcome indicators belonged to nine domains such as effective rate, adverse reactions, and laboratory examinations. This study showed that oral Chinese patent medicines had advantages in the treatment of dysmenorrhea, and the annual number of related clinical trials showed an overall growing trend. However, there were still problems such as insufficient safety information and vague description of traditional Chinese medicine(TCM) syndromes types in the instructions of Chinese patent medicines. The available clinical research had shortcomings such as uneven distribution of Chinese patent medicines, limited research scale, poor methodological rigor, and insufficient standardization of outcome indicators. In the future, it is necessary to deepen the development of high-quality clinical research and improve the contents of the instructions to ensure the effectiveness and safety of the clinical application of oral Chinese patent medicines in the treatment of dysmenorrhea.
Dysmenorrhea/drug therapy* ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Female ; Administration, Oral ; Nonprescription Drugs/administration & dosage*

OBJECTIVE: To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases. METHODS: TB case data from Shanghai (2013-2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases. RESULTS: Increased TB risk was linked to PM _2.5, PM ₁₀, and rainfall, whereas NO ₂, SO ₂, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM _2.5 ( RR = 1.166, 95% CI: 1.026-1.325) at 0-19 weeks; PM ₁₀ ( RR = 1.167, 95% CI: 1.028-1.324) at 0-18 weeks; NO ₂ ( RR = 0.968, 95% CI: 0.938-0.999) at 0-1 weeks; SO ₂ ( RR = 0.945, 95% CI: 0.894-0.999) at 0-2 weeks; air pressure ( RR = 0.604, 95% CI: 0.447-0.816) at 0-8 weeks; and rainfall ( RR = 1.404, 95% CI: 1.076-1.833) at 0-22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM _2.5 on TB. CONCLUSION Exposure to PM _2.5, PM ₁₀, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.
China/epidemiology* ; Humans ; Air Pollutants/analysis* ; Tuberculosis/epidemiology* ; Incidence ; Meteorological Concepts ; Particulate Matter/adverse effects* ; Environmental Exposure ; Male ; Female ; Adult ; Air Pollution ; Middle Aged

Objective To analyze the research status of in situ simulation in the medical field and explore its hotspots and trends. Methods Relevant literature was searched in China National Knowledge Infrastructure and Web of Science core collection from the inception to February 2024.CiteSpace 6.3.R1 was used to analyze the authors,institutions,and keywords and draw visual knowledge maps. Results A total of 25 Chinese articles and 438 English articles were included.Only 14 English articles were from China.In Chinese articles,the authors with the largest number of articles were Dai Hengmao and Liu Shangkun,and the institution with the largest number of articles was Tongji Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology.There was little cooperation between the authors and institutions.In English articles,the author and institution with the largest number of articles was Auerbach Marc and Yale University,respectively,and the cooperation between authors and institutions was close.Emergency medicine,emergency event handling,and on-the-job training were the keywords with high frequency in Chinese articles.Patient safety,medical education,and cardiac arrest were the keywords with high frequency in English articles.A total of 4 clusters were generated for Chinese keywords and 13 clusters for English keywords. Conclusions The application of in situ simulation in the medical field is still in the initial stage,and the development is not balanced at home and abroad.The number of articles published and the cooperation between authors and institutions in China obviously lags behind those abroad.Treatment and care of emergency critical patients,emergency event handling and skill training,identification of latent safety threats,improvement of readiness,and promotion of medical quality improvement are the future research hotspots and research trends in this field.
Bibliometrics ; Humans ; China ; Simulation Training ; Education, Medical ; Emergency Medicine/education*

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.