Parkinson's disease （PD） is a common neurodegenerative disorder characterized by motor impairments， with its pathological mechanisms involving multiple processes such as the degeneration of dopaminergic neurons and the abnormal aggregation of α-synuclein. Current Western medical treatments face challenges including diminished long-term efficacy and motor complications. In recent years， Traditional Chinese Medicine （TCM） has demonstrated advantages in the prevention and treatment of PD through its systematic regulatory capabilities， featuring multi-component， multi-target， and multi-pathway approaches.This article systematically reviews the roles of seven key signaling pathways-NF-κB， AMPK/mTOR， PI3K/Akt， MAPKs， Nrf2/ARE， Wnt/β-catenin， and BDNF/TrkB-in the pathological process of PD and the regulatory mechanisms of TCM. Research indicates that active ingredients of Chinese herbs and compound formulations can synergistically modulate these pathways， exerting comprehensive effects in inhibiting neuroinflammation， alleviating oxidative stress， promoting autophagy to clear abnormal proteins， and enhancing neurotrophic support. These signaling pathways form a complex regulatory network through crosstalk among key nodal molecules， constituting an intricate regulatory system in PD pathology. The multi-target intervention characteristics of TCM align well with this network-based regulatory requirement， achieving integrated anti-inflammatory， antioxidant， autophagy-regulating， and neurorestorative effects through synergistic multi-pathway modulation. This article systematically outlines the mechanisms of TCM in the coordinated regulation of multiple pathways， providing a theoretical basis for elucidating the pathological process of PD and the intervention mechanisms of TCM， while also offering new perspectives and directions for modern research on TCM in the prevention and treatment of PD.

Background In recent years, the detection rate of thyroid nodules in China's occupational population has shown an upward trend. The prevalence of this disease needs to be taken seriously and targeted measures should be taken to address its influencing factors. Objective To analyze the detection and influencing factors of thyroid nodules among adult male workers in coal mining enterprises in Shanxi Province, and provide a theoretical basis for the prevention of thyroid nodules. Methods A total of 5195 adult male workers from coal mining enterprises who ordered physical examination provided by the Xishan Coal Electricity (Group) Corporation Occupational Disease Prevention and Control Institute in Taiyuan City, Shanxi Province from May 2023 to December 2023 were selected as research subjects. A questionnaire survey, physical examination, ultrasound examination, and biological sample collection and testing were conducted. Thyroid nodules were diagnosed based on ultrasound results, classified and evaluated according to the Chinese-Thyroid Imaging Reporting and Data System (C-TIRADS), and the crude detection rate and standardized detection rate of thyroid nodules in adult male coal mine workers in Shanxi Province wereestimated. Occupational history and occupational exposure information were retrieved from their annual occupational health examination reports provided by the employer. Logistic regression modeling was used to analyze the influencing factors of thyroid nodule. Results A total of 1688 cases of thyroid nodules were detected, with a crude detection rate of 32.49% and an age-standardized detection rate of 31.17%. The cases (constitution ratio) of thyroid nodules by category in the detected cases was as follows: 358 cases (21.21%) were classified as category 2, 1261 cases (74.70%) as category 3, 67 cases (3.97%) as category 4a, and 2 cases (0.12%) as category 4b. The results of logistic regression showed that the duration of exposure to occupational hazards for 11-20 years, 21-30 years, ≥31 years, average monthly working>26 days, and shift work were positively correlated with the detection of thyroid nodules (P<0.05), and the associated ORs (95%CIs) were 1.29 (1.01, 1.65), 1.55 (1.20, 1.99), 1.68 (1.26, 2.55), 1.19 (1.00, 1.40), and 1.15 (1.02, 1.29), respectively. Conclusion The duration of exposure to occupational hazards, average monthly working days, and shift work are influencing factors of thyroid nodules. Intervention measures should be developed based on these influencing factors to prevent the occurrence of thyroid nodules.

Background The prevalence of hyperuricemia (HUA) among Chinese residents has been increasing annually, with occupational populations facing a higher risk of HUA due to shift work or obesity. Objective To investigate the impact of shift work and obesity on HUA among coal miners, and to provide scientific data for the prevention of HUA in this occupational group. Methods A cross-sectional study was conducted with 25619 workers from a coal mining group in 2023 as the study population, using a questionnaire survey and occupational health check-ups. Workers who were retired or on medical leave, as well as those who provided incomplete responses to the questionnaire or did not complete anthropometric measurements or blood tests, were excluded. A total of 23173 participants were included in the study. An unconditional logistic regression model was used to analyze the association between HUA and selected factors such as shift work status, years of shift work, daily shift work hours, body mass index (BMI), waist-to-height ratio (WHtR), and visceral adiposity index (VAI), as well as the interaction between obesity and shift work on HUA. Restricted cubic spline functions were used to analyze the dose-response relationship between years of shift work, daily shift work hours, and HUA. Results The average age of the included workers was (42.38 ± 9.82) years. A total of 6735 workers reported positive HUA, with a positive rate of 29.1%, and the prevalence was higher in men compared to women (31.8% vs. 13.9%). After adjusting for confounding factors, the restricted cubic spline model revealed a nonlinear dose-response relationship between years of shift work, daily shift work duration, and HUA: ① When the years of shift work exceeded 3.25 years, the risk of HUA in workers gradually increased with longer work duration. At 20 years of shift work, the risk increase showed a "saturation effect," meaning that the risk of HUA no longer increased with additional years of shift work. ② When daily shift work duration was below 10 h, the risk of HUA increased with the length of shift work, but after exceeding 10 h, the risk stabilized. After adjusting for confounding factors, the logistic regression model showed that, compared to non-shift workers, shift workers, those with 10-20 years and over 20 years of shift work experience, as well as those working less than 8 h and more than 8 h per day, had a higher risk of HUA, with odds ratios (OR) of 1.14 (95%CI: 1.06, 1.22), 2.42 (95%CI: 2.20, 2.67), 2.23 (95%CI: 2.00, 2.48), 1.41 (95%CI: 1.29, 1.54), and 1.90 (95%CI: 1.75, 2.06), respectively. Additionally, compared to individuals with normal obesity indices, those with overweight and obesity based on BMI, high and very high VAI and excessive WHtR had a higher risk of HUA, with ORs of 2.01 (95%CI: 1.85, 2.17), 3.51 (95%CI: 3.20, 3.84), 1.42 (95%CI: 1.32, 1.54), 2.10 (95%CI: 1.91, 2.30), and 1.82 (95%CI: 1.69, 1.97), respectively. The interaction analysis showed no interaction between shift work and obesity index (both P_s < 0.001). Conclusion Shift work, longer shift work years, and longer daily shift work hours increase the risk of HUA among coal miners. Additionally, the role of obesity in the development of HUA cannot be ignored.

Objective:To investigate the diagnostic value and influencing factors of endoscopic ultrasonography (EUS) for detecting rectal neuroendocrine neoplasms (R-NENs).Methods:A retrospective case-control study was performed on data of patients with suspected R-NENs by white light endoscopy who underwent endoscopic diagnosis and treatment or surgical operation and obtained pathological diagnosis at the Affiliated Hospital of Qingdao University from March 2016 to June 2023. Clinical data, EUS characteristics and pathological results were statistically analyzed, and the diagnostic accuracy of EUS for R-NENs were obtained by comparing the EUS results with the pathological results. Influencing factors affecting accuracy were analyzed by using the binary logistic regression model.Results:A total of 317 patients were included. The sensitivity, the specificity, the positive predictive value and the negative predictive value of EUS in diagnosing R-NENs were 98.03% (249/254), 34.92% (22/63), 85.86% (249/290) and 81.48% (22/27) respectively. The accuracy was 85.49% (271/317) and the Jorden index was 0.33. Tumor size ≤5 mm ( P=0.002, OR=2.892, 95% CI: 1.464-5.713), absence of surface vascular dilation ( P=0.019, OR=2.613, 95% CI: 1.170-5.837), normal tumor coloration ( P=0.001, OR=3.460, 95% CI: 1.645-7.279) and erythematous surface appearance ( P=0.048, OR=7.242, 95% CI: 1.015-51.680) were independent risk factors affecting the accuracy of R-NENs diagnosis by EUS. Depth assessment accuracy of EUS was 76.77% (195/254), with echo heterogeneity ( P<0.001, OR=4.008, 95% CI: 1.980-8.113) and surface depression ( P=0.035, OR=2.664, 95% CI: 1.073-6.615) emerging as significant factors affecting invasion depth evaluation. Conclusion:EUS demonstrates substantial clinical utility for R-NENs assessment, with diagnostic performance being significantly associated with tumor morphology and sonographic features. Macroscopic characteristics including tumor size, vascular patterns, and chromatic features influence diagnostic accuracy, while echo-textural heterogeneity and surface depression affect invasion depth precision. These findings underscore the clinical relevance of comprehensive EUS evaluation in R-NENs management.

Natural products (NPs) have long held a significant position in various fields such as medicine, food, agriculture, and materials. The chemical space covered by NPs is extensive but often underexplored. Therefore, high-throughput and efficient methodologies for the annotation and discovery of NPs are desired to address the complexity and diversity of NP-based systems. Mass spectrometry (MS) has emerged as a powerful platform for the annotation and discovery of NPs. MS databases provide vital support for the structural characterization of NPs by integrating extensive mass spectral data and sample information. Additionally, the released annotation methodologies, based on a variety of informatics tools, continuously improve the ability to annotate the structure and properties of compounds. This review examines the current mainstream databases and annotation methodologies, focusing on their advantages and limitations. Prospects for future technological advancements are then discussed in terms of novel applications and research objectives. Through a systematic overview, this review aims to provide valuable insights and a reference for MS-based NPs annotation, thereby promoting the discovery of novel natural entities.
Biological Products/chemistry* ; Mass Spectrometry/methods* ; Databases, Factual ; Drug Discovery/methods* ; Humans

Objective:To investigate the impact of receptor-interacting protein kinase 3 (RIPK3) on major adverse cardiovascular events (MACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI), as well as the predictive performance of RIPK3 combined with traditional cardiovascular risk factors.Methods:This study was a single-center prospective cohort study. It included patients with AMI who underwent PCI at Peking Union Medical College Hospital between September 2017 and November 2017. Baseline clinical data were collected, and plasma samples were obtained 6 hours after PCI to measure RIPK3 levels. Follow-up was conducted via outpatient visits or phone calls to record the occurrence of MACE, including cardiovascular death, hospitalization for heart failure, and vascular events (recurrent AMI or stroke). The predictive performance of RIPK3, traditional cardiovascular risk factors and their combination for MACE was compared using receiver operating characteristic (ROC) curves. Patients were divided into low- and high-RIPK3 level groups based on the optimal cutoff value of RIPK3. Multivariate Cox proportional hazards regression analysis was used to assess the impact of RIPK3 levels on MACE after PCI in AMI patients. Kaplan-Meier survival curves were plotted, and the log-rank test was used to compare MACE incidence between the low-and high-RIPK3 groups.Results:A total of 103 AMI patients who underwent PCI were included, aged 63.0 (56.0, 69.0) years, and 83 (80.6%) were male. The follow-up time was 5.17 (2.81, 5.17) years, during which 44 patients (42.7%) experienced MACE. The ROC curve analysis showed that the area under the curve ( AUC) for traditional cardiovascular risk factors was 0.68 (95% CI: 0.58-0.78), while the AUC for plasma RIPK3 was 0.72 (95% CI: 0.62-0.82). The combined AUC for traditional risk factors and RIPK3 was 0.75 (95% CI: 0.65-0.85). Multivariate Cox proportional hazards regression analysis indicated that plasma RIPK3 level is greater than or equal to the optimal cutoff value of 440.9 μg/L ( HR=3.31, 95% CI: 1.53-8.30, P=0.005) was an independent risk factor for MACE in AMI patients after PCI. Kaplan-Meier survival analysis demonstrated that the high-RIPK3 group had a significantly higher risk of MACE after PCI compared to the low-RIPK3 group (log-rank P=0.006). Conclusions:Elevated plasma RIPK3 level is an independent risk factor for MACE in AMI patients after PCI. Plasma RIPK3 combined with traditional cardiovascular risk factors can more effectively predict the occurrence of MACE in AMI patients after PCI. AMI patients with RIPK3≥440.9 μg/L have a higher risk of MACE after PCI.

Carotid artery perivascular adipose tissue (PVAT) can influence plaque formation and progression. Recently, carotid artery PVAT density has emerged as a novel imaging biomarker being capable of reflecting local metabolic and inflammatory states of adipose tissue. It is closely associated with vulnerable plaque characteristics, such as intraplaque hemorrhage, thinning or rupture of the fibrous cap, lipid-rich necrotic core, and calcification. Therefore, carotid artery PVAT density holds promise as a key parameter for early identification of vulnerable carotid plaques and stroke risk prediction. This article reviews the definition and pathophysiological mechanism of PVAT and application of imaging techniques in PVAT, as well as the association between carotid artery PVAT density and vulnerable characteristics of plaques, with the aim of providing references for early identification of asymptomatic high-risk plaques and individualized prevention strategies of ischemic stroke.

Objective:To investigate the diagnostic value and influencing factors of endoscopic ultrasonography (EUS) for detecting rectal neuroendocrine neoplasms (R-NENs).Methods:A retrospective case-control study was performed on data of patients with suspected R-NENs by white light endoscopy who underwent endoscopic diagnosis and treatment or surgical operation and obtained pathological diagnosis at the Affiliated Hospital of Qingdao University from March 2016 to June 2023. Clinical data, EUS characteristics and pathological results were statistically analyzed, and the diagnostic accuracy of EUS for R-NENs were obtained by comparing the EUS results with the pathological results. Influencing factors affecting accuracy were analyzed by using the binary logistic regression model.Results:A total of 317 patients were included. The sensitivity, the specificity, the positive predictive value and the negative predictive value of EUS in diagnosing R-NENs were 98.03% (249/254), 34.92% (22/63), 85.86% (249/290) and 81.48% (22/27) respectively. The accuracy was 85.49% (271/317) and the Jorden index was 0.33. Tumor size ≤5 mm ( P=0.002, OR=2.892, 95% CI: 1.464-5.713), absence of surface vascular dilation ( P=0.019, OR=2.613, 95% CI: 1.170-5.837), normal tumor coloration ( P=0.001, OR=3.460, 95% CI: 1.645-7.279) and erythematous surface appearance ( P=0.048, OR=7.242, 95% CI: 1.015-51.680) were independent risk factors affecting the accuracy of R-NENs diagnosis by EUS. Depth assessment accuracy of EUS was 76.77% (195/254), with echo heterogeneity ( P<0.001, OR=4.008, 95% CI: 1.980-8.113) and surface depression ( P=0.035, OR=2.664, 95% CI: 1.073-6.615) emerging as significant factors affecting invasion depth evaluation. Conclusion:EUS demonstrates substantial clinical utility for R-NENs assessment, with diagnostic performance being significantly associated with tumor morphology and sonographic features. Macroscopic characteristics including tumor size, vascular patterns, and chromatic features influence diagnostic accuracy, while echo-textural heterogeneity and surface depression affect invasion depth precision. These findings underscore the clinical relevance of comprehensive EUS evaluation in R-NENs management.

Carotid artery perivascular adipose tissue (PVAT) can influence plaque formation and progression. Recently, carotid artery PVAT density has emerged as a novel imaging biomarker being capable of reflecting local metabolic and inflammatory states of adipose tissue. It is closely associated with vulnerable plaque characteristics, such as intraplaque hemorrhage, thinning or rupture of the fibrous cap, lipid-rich necrotic core, and calcification. Therefore, carotid artery PVAT density holds promise as a key parameter for early identification of vulnerable carotid plaques and stroke risk prediction. This article reviews the definition and pathophysiological mechanism of PVAT and application of imaging techniques in PVAT, as well as the association between carotid artery PVAT density and vulnerable characteristics of plaques, with the aim of providing references for early identification of asymptomatic high-risk plaques and individualized prevention strategies of ischemic stroke.

Objective:To investigate the impact of receptor-interacting protein kinase 3 (RIPK3) on major adverse cardiovascular events (MACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI), as well as the predictive performance of RIPK3 combined with traditional cardiovascular risk factors.Methods:This study was a single-center prospective cohort study. It included patients with AMI who underwent PCI at Peking Union Medical College Hospital between September 2017 and November 2017. Baseline clinical data were collected, and plasma samples were obtained 6 hours after PCI to measure RIPK3 levels. Follow-up was conducted via outpatient visits or phone calls to record the occurrence of MACE, including cardiovascular death, hospitalization for heart failure, and vascular events (recurrent AMI or stroke). The predictive performance of RIPK3, traditional cardiovascular risk factors and their combination for MACE was compared using receiver operating characteristic (ROC) curves. Patients were divided into low- and high-RIPK3 level groups based on the optimal cutoff value of RIPK3. Multivariate Cox proportional hazards regression analysis was used to assess the impact of RIPK3 levels on MACE after PCI in AMI patients. Kaplan-Meier survival curves were plotted, and the log-rank test was used to compare MACE incidence between the low-and high-RIPK3 groups.Results:A total of 103 AMI patients who underwent PCI were included, aged 63.0 (56.0, 69.0) years, and 83 (80.6%) were male. The follow-up time was 5.17 (2.81, 5.17) years, during which 44 patients (42.7%) experienced MACE. The ROC curve analysis showed that the area under the curve ( AUC) for traditional cardiovascular risk factors was 0.68 (95% CI: 0.58-0.78), while the AUC for plasma RIPK3 was 0.72 (95% CI: 0.62-0.82). The combined AUC for traditional risk factors and RIPK3 was 0.75 (95% CI: 0.65-0.85). Multivariate Cox proportional hazards regression analysis indicated that plasma RIPK3 level is greater than or equal to the optimal cutoff value of 440.9 μg/L ( HR=3.31, 95% CI: 1.53-8.30, P=0.005) was an independent risk factor for MACE in AMI patients after PCI. Kaplan-Meier survival analysis demonstrated that the high-RIPK3 group had a significantly higher risk of MACE after PCI compared to the low-RIPK3 group (log-rank P=0.006). Conclusions:Elevated plasma RIPK3 level is an independent risk factor for MACE in AMI patients after PCI. Plasma RIPK3 combined with traditional cardiovascular risk factors can more effectively predict the occurrence of MACE in AMI patients after PCI. AMI patients with RIPK3≥440.9 μg/L have a higher risk of MACE after PCI.