ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

The disease-syndrome combination animal model in traditional Chinese medicine （TCM） andrology serves as an important bridge linking TCM theory with modern medical research， providing a key experimental platform for elucidating the 'syndrome-disease' correlation mechanism in male-specific diseases and for screening effective prescriptions. This article reviews recent progress in animal model research on common TCM andrological diseases， including prostatic diseases， sexual dysfunction， and male infertility， with a focus on analyzing the application， advantages， and disadvantages of various modeling strategies， such as immune induction， hormonal intervention， and multi-factor combination across different syndrome types. However， despite breakthroughs in model construction techniques， current research still faces several challenges， including insufficient standardization of syndrome differentiation and difficulties in quantifying TCM-specific indicators. Future studies need to optimize model evaluation systems by integrating modern technologies， in order to promote the standardization and internationalization of TCM andrology research.

Human NAD(P)H: quinone oxidoreductase 1 (NQO1) is a flavoenzyme expressed at high levels in multiple solid tumors, making it an attractive target for anticancer drugs. Bioactivatable drugs targeting NQO1, such as β-lapachone (β-lap), are currently in clinical trials for the treatment of cancer. β-Lap selectively kills NQO1-positive (NQO1⁺) cancer cells by inducing reactive oxygen species (ROS) via catalytic activation of NQO1. In this study, we demonstrated that cryptotanshinone (CTS), a naturally occurring compound, induces NQO1-dependent necrosis without affecting NQO1 activity. CTS selectively kills NQO1⁺ cancer cells by inducing NQO1-dependent necrosis. Interestingly, CTS directly binds to NQO1 but does not activate its catalytic activity. In addition, CTS enables activation of JNK1/2 and PARP, accumulation of iron and Ca²⁺, and depletion of ATP and NAD⁺. Furthermore, CTS selectively suppressed tumor growth in the NQO1⁺ xenograft models, which was reversed by NQO1 inhibitor and NQO1 shRNA. In conclusion, CTS induces NQO1-dependent necrosis via the JNK1/2/iron/PARP/NAD⁺/Ca²⁺ signaling pathway. This study demonstrates the non-enzymatic function of NQO1 in inducing cell death and provides new avenues for the design and development of NQO1-targeted anticancer drugs.

Atherosclerosis, a chronic inflammatory disease, is markedly influenced by both immune and inflammatory reactions throughout its progression. Dendritic cells, as pivotal antigen-presenting entities, play a crucial role in the initiation of immune responses and the preservation of immunological homeostasis. Accumulating data indicates that dendritic cells are present in healthy arteries and accumulate significantly in atherosclerotic plaques. Novel immunotherapeutic approaches and vaccination protocols have yielded substantial clinical advancements in managing chronic inflammatory diseases, with dendritic cell-centric modalities emerging for atherosclerotic management. In this review, we delineate the essential functions and underlying mechanisms of dendritic cells and their subsets in the modulation of atherosclerotic inflammation and immune responses. We underscore the immense promise of dendritic cell-based immunotherapeutic strategies, including vaccines and innovative combinations with nanotechnological drug delivery platforms for atherosclerosis treatment. We also discuss the challenges associated with dendritic cell immunotherapy and provide perspectives on the future direction of this field.

Palmitoylation, an essential covalent attachment of a fatty acid (usually C16 palmitate) to cysteine residues within proteins, is crucial for regulating protein functionality and enzymatic activities. This lipid modification facilitates the anchoring of proteins to cellular membranes, dictating their subcellular distribution and influencing protein transport dynamics and intracellular positioning. Additionally, it plays a role in regulating protein degradation through the ubiquitin-proteasome system. Palmitoylation is implicated in the pathogenesis and progression of cardiovascular diseases by modulating substrates and prompting additional post-translational modifications, as well as by interacting with other molecular alterations. Moreover, an intervention strategy focusing on palmitoylation processes is anticipated to offer novel therapeutic avenues for cardiovascular pathologies and address extant challenges in clinical settings. This review consolidates current research on the role and importance of palmitoylation in cardiovascular diseases by exploring its regulatory functions, the catalyzing enzymes, and the involved substrates. It highlights recent discoveries connecting palmitoylation-targeted therapies to cardiovascular health and examines potential approaches and future challenges in cardiovascular treatment.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

Objective To analyze the epidemiological characteristics of newly diagnosed occupational diseases in Guangdong Province from 2019 to 2023. Methods Data on newly diagnosed occupational diseases reported in Guangdong Province from 2019 to 2023 were collected from the national occupational disease network reporting system. The spectrum of occupational diseases and their distribution by region, industry, and population were analyzed. Results A total of 4 136 newly diagnosed occupational disease cases were reported in Guangdong Province from 2019 to 2023, showing an overall downward trend. Newly diagnosed cases were classified into eight categories and 53 types of occupational diseases. In terms of the number of cases, the top five categories were occupational diseases of the ear, nose, throat and oral cavity;occupational pneumoconiosis and other respiratory diseases; occupational diseases caused by physical factors; occupational chemical poisoning; and occupational tumors, accounting for 98.62% of all cases. The top ten specific disease types were occupational noise-induced deafness, occupational silicosis, occupational other pneumoconiosis, occupational chronic benzene poisoning, occupational heatstroke, occupational hand-arm vibration disease, occupational coal workers′ pneumoconiosis, occupational welders′ pneumoconiosis, occupational tumor (leukemia caused by benzene exposure), and occupational chronic n-hexane poisoning, accounting for 94.85% of all cases. Most of the cases were distributed in the Pearl River Delta region, accounting for 89.19%; as well as manufacturing industry, accounting for 84.89%. Male cases accounted for 87.02%. Most diagnoses occurred in individuals aged >40-60 years, accounting for 74.73%. Conclusion Newly diagnosed occupational diseases in Guangdong Province from 2019 to 2023 showed the following characteristics: concentration of categories and disease types, polarization of regional distribution, industry clustering, and population difference. The disease spectrum is evolving from a dual-disease predominance toward a multi-disease predominance.

The sirtuin 1(SIRT1)is an important NAD+-dependent deacetylase that has attracted much attention in ophthalmic research in recent years. This is because the expression of SIRT1 in ocular tissues and its function are inextricably linked to the pathogenesis and progression of many ocular diseases, including dry eye, glaucoma, cataract and diabetic retinopathy. Through in-depth investigations, we have found that SIRT1, as a key regulatory protein, has a profound impact on the pathophysiological processes of ocular diseases through a variety of mechanisms, such as regulating apoptotic programs, modulating oxidative stress, mediating inflammatory responses and maintaining normal mitochondrial function. These findings indicate that SIRT1 plays an important protective role in ocular diseases. The aim of this article is to comprehensively review the latest research findings on SIRT1 in ophthalmic diseases in recent years, and hopes to provide new ideas and methods for the prevention and treatment of ophthalmic diseases by thoroughly analyzing the mechanism of action of SIRT1.

Objective:To investigate the mechanism of mitochondrial DNA (mtDNA)-reactive oxygen species (ROS)-dynamin-related protein 1 (Drp1) axis in regulating phenotypic transformation of vascular smooth muscle cells (VSMCs).Methods:(1) VSMCs were divided into a control group, a synthetic VSMCs group, and a Drp1 siRNA+synthetic VSMCs group; cells in the Drp1 siRNA+synthetic VSMCs group were transfected with 50 nmol/L Drp1 siRNA for 48 h; cells in the latter two groups were treated with 20 ng/mL platelet-derived growth factor (PDGF)-BB, while cells in the control group were treated with an equal volume of solvent. After another 24 h of culture, Drp1 expression in VSMCs, and mitochondrial Drp1 and mitofusin 2 (Mfn2) expressions were detected by Western blotting, and changes in mitochondrial morphology were detected by mitochondrial fluorescent staining. (2) VSMCs were divided into a control group, a synthetic VSMCs group, and a mitochondrial fission inhibitor 1 (Mdivi-1)+synthetic VSMCs group; cells in the Mdivi-1+synthetic VSMCs group were pretreated with 50 μmol/L Mdivi-1 for 2 h; and cells in the latter two groups were treated with 20 ng/mL PDGF-BB, while cells in the control group were treated with an equal volume of solvent. After 24 hours of continued culture, expressions of α-smooth muscle actin (α-SMA), smooth muscle protein 22-α (SM22-α), proliferating cell nuclear antigen (PCNA), and Cyclin D1 were detected by Western blotting; invasion and migration abilities of VSMCs were detected by Transwell assay and scratch wound healing assay, respectively. (3) VSMCs were divided into a control group, a synthetic VSMCs group, and a N-acetylcysteine (NAC)+synthetic VSMCs group; cells in the NAC+synthetic VSMCs group were pretreated with 5 mmol/L NAC for 1 h; cells in the latter two groups were treated with 20 ng/mL PDGF-BB, while cells in the control group were treated with an equal volume of solvent. After 24 h of continued culture, expressions of Drp1, phosphorylated (p)-Drp1, α-SMA, SM22-α, PCNA, and Cyclin D1 were detected by Western blotting; changes in mitochondrial morphology were detected by mitochondrial fluorescent staining; intracellular ROS level was detected by 2', 7' -dichlorodihydrofluorescein diacetate (DCFH-DA) fluorescent probe; cell invasion and migration abilities were detected by Transwell assay and scratch wound healing assay, respectively. (4) VSMCs were divided into a control group, a synthetic VSMCs group, and a 5-Aza-2'-deoxycytidine (5-Aza-dC)+synthetic VSMCs group; cells in the 5-Aza-dC+synthetic VSMCs group were pretreated with 2 μmol/L 5-Aza-dC for 1 h; and then, cells in the latter two groups were treated with 20 ng/mL PDGF-BB, while cells in the control group were treated with an equal volume of solvent. After 24 h of continued culture, agarose gel electrophoresis was used to analyze the methylation degree in the mitochondrial D-loop region; intracellular ROS level was detected using DCFH-DA fluorescent probe; expressions of mitochondrial DNMT1, α-SMA, SM22-α, PCNA, and Cyclin D1 were detected by Western blotting; invasion and migration abilities were detected by Transwell assay and scratch wound healing assay, respectively.Results:(1) Compared with the control group and synthetic VSMCs group, the Drp1 siRNA+synthetic VSMCs group had significantly decreased Drp1 protein expression ( P<0.05). Compared with the control group, the synthetic VSMCs group had significantly increased Drp1 protein expression and decreased Mfn2 protein expression in the mitochondria ( P<0.05); compared with the synthetic VSMCs group, the Drp1 siRNA+synthetic VSMCs group had statistically decreased Drp1 protein expression and increased Mfn2 protein expression in the mitochondria ( P<0.05). Results of mitochondrial fluorescent staining showed that mitochondria in the control group were with filamentous structure, while mitochondrial fission in the synthetic VSMCs group was enhanced, and morphology of mitochondria in the Drp1 siRNA+synthetic VSMCs group tended to be continuous and complete. (2) Compared with the control group, the synthetic VSMCs group had statistically decreased α-SMA and SM22-α protein expressions and increased PCNA and Cyclin D1 protein expressions ( P<0.05). Compared with the synthetic VSMCs group, the Mdivi-1+synthetic VSMCs group had significantly increased α-SMA and SM22-α protein expressions and decreased PCNA and Cyclin D1 protein expressions ( P<0.05). Results of Transwell and scratch wound healing assays showed that compared with the control group, the synthetic VSMCs group had larger number of migrating cells and faster cell scratch healing; compared with the synthetic VSMCs group, the Mdivi-1+synthetic VSMCs group had smaller number of migrating cells and slower cell scratch healing. (3) Compared with the control group (1.10±0.02), the synthetic VSMCs group (1.53±0.02) had significantly increased p-Drp1 protein expression ( P<0.05). Compared with the synthetic VSMCs group, the NAC+synthetic VSMCs group (0.90±0.02) had statistically decreased p-Drp1 protein expression ( P<0.05). Results of mitochondrial fluorescent staining showed that mitochondria in cells of the control group were in a filamentous structure, while mitochondrial fission in cells of the synthetic VSMCs group was enhanced, and morphology of mitochondria in the NAC+synthetic VSMCs group tended to be continuous and complete. Results of DCFH-DA fluorescent probe showed that ROS level in the synthetic VSMCs group was higher than that in the control group, and ROS level in the NAC+synthetic VSMCs group was lower than that in the synthetic VSMCs group. Compared with the control group, the synthetic VSMCs group had significantly decreased α-SMA and SM22-α protein expressions and increased PCNA and Cyclin D1 protein expressions ( P<0.05). Compared with the synthetic VSMCs group, the NAC+synthetic VSMCs group had significantly increased α-SMA and SM22-α protein expressions and decreased PCNA and Cyclin D1 protein expressions ( P<0.05). Results of Transwell and scratch wound healing assays showed that compared with the control group, the synthetic VSMCs group had larger number of migrating cells and faster cell scratch healing; compared with the synthetic VSMCs group, the NAC+synthetic VSMCs group had smaller number of migrating cells and slower cell scratch healing. (4) Results of agarose gel electrophoresis showed that compared with the control group, the synthetic VSMCs group had significantly increased methylation rate in the mitochondrial D-loop region ( P<0.05); compared with the synthetic VSMCs group, the 5-Aza-dC+synthetic VSMCs group had statistically decreased methylation rate in the mitochondrial D-loop region ( P<0.05). Compared with the control group, the synthetic VSMCs group had statistically increased mitochondrial DNMT1 protein expression (1.03±0.03 vs. 0.55±0.03, P<0.05); and compared with the synthetic VSMCs group, the the 5-Aza-dC+synthetic VSMCs group (0.62±0.03) had significantly decreased mitochondrial DNMT1 protein expression ( P<0.05). Results of DCFH-DA fluorescent probe showed that ROS level in the synthetic VSMCs group was higher than that in the control group; ROS level in the 5-Aza-dC+synthetic VSMCs group was lower than that in the synthetic VSMCs group. Compared with the control group, the synthetic VSMCs group had significantly decreased α-SMA and SM22-α protein expressions and increased PCNA and Cyclin D1 protein expressions ( P<0.05). Compared with the synthetic VSMCs group, the 5-Aza-dC+synthetic VSMCs group had significantly increased α-SMA and SM22-α protein expressions and decreased PCNA and Cyclin D1 protein expressions ( P<0.05). Results of Transwell and scratch wound healing assays showed that compared with the control group, the synthetic VSMCs group had larger number of migrating cells and faster scratch healing. Compared with the synthetic VSMCs group, the 5-Aza-dC+synthetic VSMCs group had smaller number of migrating cells and slower scratch healing. Conclusion:The mtDNA-ROS-Drp1 axis may regulate the phenotypic transformation of VSMCs by modulating mitochondrial epigenetic modifications.