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.

ObjectiveTaking the cuproptosis/oxidative stress pathway as the entry point， this study investigated the effect and mechanism of Liangyi Paste on hepatic lipid deposition in naturally aged mice fed with a high-fat diet. MethodsAfter adaptive feeding， 80 ten-week-old male C57BL/6 mice were used. Thirty of them were randomly divided into three groups （10 mice per group）： The 12-month-old control group （12MCON）， the 15-month-old control group （15MCON）， and the 15-month-old group with a high-fat diet （15MHFD）. The 12MCON and 15MCON groups were continuously fed a standard diet， while the 15MHFD group started receiving a high-fat diet at 12 months of age. Tissue samples were collected at the corresponding time points for each group. The remaining 50 mice were randomly divided into five groups （10 mice per group）： the 20-month-old control group （20MCON）， the model group， and the low-， medium-， and high-dose Liangyi Paste groups （2.91 ， 5.82 ， 11.64 g·kg^-1·d^-1， respectively）. The 20MCON group was continuously fed a standard diet， while the other groups started receiving a high-fat diet at 15 months of age. At 18 months of age， the Liangyi Paste groups were administered the corresponding doses of Liangyi Paste by gavage， while the 20MCON and model groups were given an equal volume of saline by gavage. After 8 weeks of continuous gavage （when the mice reached 20 months of age）， tissue samples were collected. Hepatic TG levels were measured using assay kits； liver histology and lipid deposition were observed via hematoxylin-eosin （HE） and oil red O staining； reactive oxygen species （ROS） were detected by enzyme-linked immunosorbent assay （ELISA）； Cu²⁺， superoxide dismutase （SOD）， and malondialdehyde （MDA） levels were measured by colorimetry； mRNA and protein expression of genes related to cuproptosis and oxidative stress pathways were analyzed by Real-time polymerase chain reaction（Real-time PCR） and Wes automated protein expression system. ResultsCompared with 12MCON， the 15MCON group showed significantly increased hepatic TG， Cu²⁺， ROS， and MDA levels （P<0.01）， decreased SOD （P<0.01）， hepatocyte swelling， and disordered arrangement. The mRNA and protein levels of ferredoxin 1 （FDX1）， dihydrolipoamide S-acetyltransferase （DLAT）， heat shock protein 70 （HSP70）， dihydrolipoamide dehydrogenase （DLD）， pyruvate dehydrogenase E1 subunit-β （PDHB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and peroxisome proliferator-activated receptor γ （PPARγ） were significantly elevated （P<0.05， P<0.01）. Compared with 15MCON group， the 15MHFD and 20MCON groups exhibited further increases in TG， Cu²⁺， ROS， and MDA （P<0.01）， reduced SOD （P<0.01）， and aggravated hepatocyte swelling and disorder. There were increased lipid droplets with mild vacuolization in the 15MHFD group， and no significant lipid deposition was observed in the 20MCON group. FDX1， DLAT， HSP70， DLD， PDHB， Nrf2， and PPARγ mRNA and protein levels were significantly increased （P<0.05， P<0.01）. Compared with 20MCON group， the model group demonstrated markedly elevated TG， Cu²⁺， ROS， and MDA （P<0.01）， reduced SOD （P<0.01）， severe hepatic steatosis， and upregulated expression of FDX1， DLAT， HSP70， DLD， PDHB， Nrf2， and PPARγ mRNA and proteins （P<0.05， P<0.01）. All abnormalities were significantly reversed after Liangyi Paste treatment. ConclusionLiangyi paste can ameliorate hepatic lipid deposition in naturally aged mice with a high-fat diet by modulating the cuproptosis/oxidative stress pathway.

OBJECTIVE To analyze the prototype components absorbed into blood and brain of Lithocarpus litseifolius leaves， so as to provide a reference for clarifying the pharmacological material basis of its prevention and treatment of central nervous system dis eases. METHODS The ethanol extract of L. litseifolius leaves， as well as the gastric lavage fluid and perfusion solution were prepared. Using rats as subjects， plasma samples of intestinal wall metabolism， intestinal flora metabolism and hepatic metabolism were prepared via in situ intestinal perfusion and closed intestinal loop method； while comprehensive metabolic plasma samples， brain tissue samples， and cerebrospinal fluid samples were collected after intragastric administration. UPLC-HRMS technology was utilized to analyze and identify chemical components and prototype components absorbed into blood and brain of L. litseifolius leaves. RESULTS A total of 66 chemical constituents were identified in L. litseifolius leaves， primarily consisting of flavonoids， organic acids， and others. A total of 16， 13， 11， and 5 prototype components were identified in intestinal wall metabolism， intestinal flora metabolism， hepatic metabolism， and comprehensive metabolic plasma samples， respectively. Additionally， 4 prototype components were detected in brain tissue and 9 in cerebrospinal fluid. Phloridzin， trilobatin， phloretin-2- O -malonyl hexoside， and phloretin were identified as common components across all sample types. CONCLUSIONS Prototype components absorbed into blood and brain of L. litseifolius leaves， such as phloridzin， trilobatin， phloretin， and other components may serve as the pharmacological material basis for their therapeutic effects on central nervous system diseases.

Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.

Doxorubicin (DOX)-induced cardiotoxicity and sepsis-induced myocardial injury (SIMI) represent significant clinical challenges in patients undergoing chemotherapy, sharing a common pathological basis of oxidative stress and mitochondrial dysfunction. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has recently been shown to play a critical role in DOX-induced cardiotoxicity and lipopolysaccharide (LPS)-induced SIMI. This article systematically reviews the mechanisms underlying myocardial injury caused by DOX and sepsis, identifying ferroptosis as a central common pathway. DOX triggers a burst of reactive oxygen species within mitochondria and inhibits glutathione peroxidase 4 (GPX4) activity through redox cycling of its quinone group and high-affinity accumulation in mitochondrial cardiolipin. LPS, by activating pattern recognition receptors and related inflammatory signaling pathways, provokes a cytokine storm and mitochondrial dysfunction. Both can disrupt the core regulatory axis of cysteine-glutathione (GSH)-GPX4, synergistically promoting ferroptosis in cardiomyocytes. Moreover, epigenetic regulation plays a key role in DOX- and LPS-induced cardiomyocyte ferroptosis and may serve as a promising therapeutic target. A deeper understanding of the ferroptosis mechanism and its epigenetic regulatory network in the synergistic injury induced by DOX and sepsis is of great importance for developing novel strategies to mitigate chemotherapy-related cardiotoxicity and improve outcomes in cancer patients with concurrent infections.

Objective: To investigate the distribution characteristics of ABO and Rh blood group antigen phenotypes among blood donors in the Yantai, Shandong. Methods: Blood samples from 310 180 voluntary blood donors in Yantai collected from January 2019 to December 2023 were tested for ABO and Rh blood group antigens using standard serological methods. RhD-negative samples were further typed for C, c, E, and e antigens. Population genetic analysis of blood groups was performed: allele frequencies were inferred from ABO phenotypes, and Rh allele/haplotype frequencies were estimated based on the proportion of RhD-negative donors and CcEe antigen typing, followed by Hardy-Weinberg equilibrium testing. Results: The phenotypic distribution frequency of ABO blood groups was B(32.72%)>O(28.93%)>A(27.65%)>AB(10.70%). The inferred allele frequencies were r(53.74%)>q(24.78%)>p(21.48%), consistent with Hardy-Weinberg equilibrium (P>0.05). A total of 1 872 Rh-negative donors (0.603%) were identified. The most common Rh phenotypes were ccdee (59.56%) and Ccdee (30.18%). The distribution of Rh antigen phenotypes deviated significantly from Hardy-Weinberg equilibrium (χ =37.15, P<0.001), with the cde haplotype showing the highest frequency. There was no statistically significant difference in ABO blood group distribution between RhD-positive and RhD-negative donors (P>0.05). Conclusion: The ABO blood group distribution among voluntary blood donors in Yantai is generally stable and consistent with population genetic equilibrium, whereas the Rh antigen phenotype distribution deviates from equilibrium, indicating potential underlying genetic structural differences.

ObjectiveTo reveal the active substances and mechanisms of modified Qing'e formula （MQEF） in delaying skin photoaging by ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry （UPLC-Q-TOF-MS），network pharmacology， and cell experiments. MethodsUPLC-Q-TOF-MS and a literature review were employed to analyze the transdermally absorbed components in mice after the topical application of MQEF. The potential targets of MQEF in treating skin photoaging were retrieved from databases.The compound-potential target network and protein-protein interaction network were constructed to screen the key components and core targets. A photoaging cell model was established by irradiating HaCaT cells with medium-wave ultraviolet B （UVB）. The safe doses of bakuchiol （BAK） and salvianolic acid B （SAB） for treating HaCaT cells and the effects of BAK and SAB on the viability of cells exposed to UVB irradiation were determined by the cell counting kit-8 （CCK-8） method.The reactive oxygen species （ROS） fluorescent probe was used to measure the ROS production in the cells treated with BAK and SAB.The expression levels of genes related to oxidative stress，inflammation，collagen metabolism，and circadian rhythm clock were measured by Real-time PCR. ResultsA total of 24 transdermally absorbed components of MQEF were identified，which acted on 367 potential targets，and 417 targets related to skin photoaging were screened out，among which 47 common targets were predicted as the targets of MQEF in treating skin photoaging. MQEF exerted the anti-photoaging effect via key components such as BAK and SAB，which acted on core proteins such as serine/threonine kinase 1 （Akt1） and mitogen-activated protein kinase 3 （MAPK3） and intervened in core pathways such as the tumor necrosis factor （TNF） and phosphatidylinositol-3-kinase （PI3K）/protein kinase B （Akt） signaling pathways.Compared with the model group，the administration of BAK and SAB increased the survival rate of HaCaT cells （P<0.01），down-regulated the mRNA levels of cyclooxygenase-2 （COX-2），interleukin-6 （IL-6），tumor necrosis factor-α （TNF-α），matrix metalloproteinase-1 （MMP-1），and matrix metalloproteinase-9 （MMP-9） （P<0.01），and up-regulated the mRNA levels of heme oxygenase-1 （HO-1） and NAD（P）H quinone dehydrogenase 1 （NQO-1） （P<0.05，P<0.01） in photoaged HaCaT cells.In addition，it eliminated excess ROS production induced by UVB and up-regulated the mRNA levels of brain and muscle ARNT-like 1 （BMAL1） and circadian locomotor output cycles kaput （CLOCK） associated with circadian clock （P<0.05，P<0.01）. ConclusionMQEF delays skin photoaging through the coordinated effects of various components，multiple targets，and diverse pathways.The key components BAK and SAB in MQEF exhibit anti-photoaging properties，which involve inhibiting oxidative stress，preventing collagen degradation，mitigating inflammation，and maintaining normal skin circadian rhythms by regulating clock gene expression.

Immunoglobulin A nephropathy （IgAN） is the primary glomerulonephritis with the highest incidence rate in the world. It is also the main cause of end-stage renal disease （ESRD） in China， which has brought heavy economic burden to the society and patient families. Traditional Chinese medicine （TCM） has certain advantages in treating IgAN. In TCM， IgAN is classified into consumptive disease， hematuria， and edema categories， with the location in the kidney and involving the lung， liver， and spleen. Professor Ren Jixue， a master of TCM， believes that kidney deficiency and spleen deficiency are the root causes of IgAN， and the throat is the source of the disease. He proposed the theory of throat-kidney correlation and used the method of tonifying kidney and invigorating spleen as well as detoxifying and relieving sore-throat to treat IgAN， achieving significant therapeutic effects. Studies have shown that IgAN is closely related to mucosal immune defense. IgAN patients often experience recurrent and gradually worsening symptoms due to mucosal infections， and polymeric Ig receptor （PIgR） is an important component of mucosal defense function. The lack of PIgR leads to the accumulation of IgA molecules in the mucosal lamina propria， and the molecules enter the bloodstream in large quantities and ultimately deposit in the kidneys， causing kidney damage. Complement regulatory protein complement receptor type 1 （CR1） exists on red blood cells and glomeruli and has the function of inhibiting the activation and differentiation of B cells， clearing immune complexes， and inhibiting excessive activation of the complement system. Therefore， regulating the immune defense function through the mucosal-renal axis mediated by PIgR-CR1 will be an important target for preventing and treating IgAN. Based on the theory of throat-kidney correlation， this article explores the effects and molecular mechanisms of tonifying kidney and invigorating spleen as well as detoxifying and relieving sore-throat in preventing and treating IgAN by regulating the mucosal-kidney axis mediated by PIgR-CR1. It provides effective theoretical support and a scientific basis for TCM prevention and treatment of IgAN based on the theory of throat-kidney correlation.

Immunoglobulin A nephropathy （IgAN） is the primary glomerulonephritis with the highest incidence rate in the world. It is also the main cause of end-stage renal disease （ESRD） in China， which has brought heavy economic burden to the society and patient families. Traditional Chinese medicine （TCM） has certain advantages in treating IgAN. In TCM， IgAN is classified into consumptive disease， hematuria， and edema categories， with the location in the kidney and involving the lung， liver， and spleen. Professor Ren Jixue， a master of TCM， believes that kidney deficiency and spleen deficiency are the root causes of IgAN， and the throat is the source of the disease. He proposed the theory of throat-kidney correlation and used the method of tonifying kidney and invigorating spleen as well as detoxifying and relieving sore-throat to treat IgAN， achieving significant therapeutic effects. Studies have shown that IgAN is closely related to mucosal immune defense. IgAN patients often experience recurrent and gradually worsening symptoms due to mucosal infections， and polymeric Ig receptor （PIgR） is an important component of mucosal defense function. The lack of PIgR leads to the accumulation of IgA molecules in the mucosal lamina propria， and the molecules enter the bloodstream in large quantities and ultimately deposit in the kidneys， causing kidney damage. Complement regulatory protein complement receptor type 1 （CR1） exists on red blood cells and glomeruli and has the function of inhibiting the activation and differentiation of B cells， clearing immune complexes， and inhibiting excessive activation of the complement system. Therefore， regulating the immune defense function through the mucosal-renal axis mediated by PIgR-CR1 will be an important target for preventing and treating IgAN. Based on the theory of throat-kidney correlation， this article explores the effects and molecular mechanisms of tonifying kidney and invigorating spleen as well as detoxifying and relieving sore-throat in preventing and treating IgAN by regulating the mucosal-kidney axis mediated by PIgR-CR1. It provides effective theoretical support and a scientific basis for TCM prevention and treatment of IgAN based on the theory of throat-kidney correlation.