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 sensitive scalp is a complex syndrome characterised by abnormal nerve sensations, such as stinging, itching, burning, and tightness, and diminished tolerance to physical or chemical stimuli that would not typically cause such unpleasant responses, with its pathology involving physical barrier destruction at the stratum corneum level, neural hyperreactivity and sensory nerve sensitization, and local immunological dysregulation and chronic low‑grade inflammation. The homeostasis of the scalp microenvironment plays a crucial regulatory role in maintaining the hair follicle growth cycle, yet this “soil” factor has long been underappreciated in hair loss research, which has traditionally centered on intrinsic follicular defects, such as genetic predisposition or androgen-driven mechanisms. In this review, we summarized the potential mechanisms underlying the imbalance in the “barrier-neural-immune” network in sensitive scalps. Sensitive scalp is further manifested as impaired skin barrier, including increased transepidermal water loss and abnormal lipid secretion. These alterations are accompanied by increased surface pH, excessive secretion of sebum rich in free fatty acids, reduced microbial diversity, and dysbiosis characterized by a reduction in Cutibacterium and an increase in Staphylococcus colonization. Mechanistically, we also analyzed how neurogenic inflammation, mediated by substances such as substance P (SP) and calcitonin gene-related peptide (CGRP), along with persistent low-grade inflammation, disrupts the microenvironment of the hair follicle stem cell niche through mechanisms involving mechanosensitive ion channels (e.g., Piezo1), oxidative stress, and cytokine cascades. When the barrier is compromised, the weakened stratum corneum may facilitate the penetration of external stimuli, sensitizing cutaneous nerve endings. Those hyperresponsive nerves then fire off neuropeptides like substance P and CGRP. These peptides activate mast cells and other immune cells via the MrgprB2 receptor, prompting degranulation and a wave of pro-inflammatory mediators that kick off neurogenic inflammation. At the same time, oxidative stress and inflammatory cytokines drive a persistent low-grade inflammation that directly damages the hair follicle stem cell niche. Physical compression from shrinking hair shafts activates Piezo1 channels, setting off calcium influx and Caspase‑3‑dependent apoptotic signaling. We primarily considered the interactions between inflammatory signaling and the sensitization of the androgen receptor (AR) pathway, as well as the inhibition of the Wnt/β‑catenin pathway, which may subsequently contribute to hair follicle miniaturization and disruption of the growth cycle. The inflammatory microenvironment appears to boost AR expression in dermal papilla cells, making them more sensitive to dihydrotestosterone (DHT). This heightened sensitivity may promote the expression of transforming growth factor-β1 (TGF-β1), TGF-β2, and Dickkopf-1 (DKK1), which suppress the Wnt/β‑catenin pathway—essential for follicle growth and regeneration—potentially accelerating follicular miniaturization and stalling the growth cycle. Coupled with direct inflammatory apoptosis, oxidative stress, and circadian disruption, these routes may collectively speed up hair follicle stem cell depletion and diffuse hair thinning. These findings point to the need for more mechanistic and translational research to test the proposed pathways and explore therapies that target the microenvironment in sensitive scalp-related hair loss. Ultimately, we hope to provide theoretical support for the intervention of hair loss by restoring the steady state of the scalp microenvironment and combining with new precision delivery technologies such as microneedles.

OBJECTIVE To establish a high-performance liquid chromatography （HPLC） fingerprint and content determination method for Phellodendron chinensis ， and to evaluate its quality combined with chemometrics analysis.METHODS The HPLC fingerprints of 30 batches of P. chinensis were established by the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 Edition）， and similarity evaluation and common peak identification were carried out.The contents of phellodendrine hydrochloride， magnoflorine， chlorogenic acid， 5- O -feruloylquinic acid， 4- O -feruloylquinic acid， 3- O -feruloylquinic acid， jatrorrhizine hydrochloride，and berberine hydrochloride were determined by the same HPLC method. Hierarchical cluster analysis （HCA）， principal component analysis （PCA）， and partial least squares-discriminant analysis （PLS-DA） were performed using the contents of the above eight components as variables.RESULTS A total of 16 common peaks were identified in the HPLC fingerprints of 30 batches of samples， and 8 common peaks were identified， including phellodendrine hydrochloride， magnoflorine， chlorogenic acid， 5- O -feruloylquinic acid， 4- O -feruloylquinic acid， 3- O -feruloylquinic acid， jatrorrhizine hydrochloride，and berberine hydrochloride. The similarity of 30 batches of samples ranged from 0.989 to 1.000. The results of content determination showed that the contents of eight components such as phellodendrine hydrochloride were 10.108-22.745，2.598-5.529，6.250-13.942，4.956-12.433，10.895-27.384，43.248-78.924， 0.428-1.154， 81.827-153.066 mg/g， respectively. The HCA results showed that 30 batches of samples were clustered into 3 categories：S1-S10 as one category， S11-S23 as one category，and S24-S30 as one category. The PCA results showed that the comprehensive scores of 10 batches of samples from the Sichuan production area （S1-S10） ranked among the top 10. The PLS-DA results showed that the variable importance in projection values of berberine hydrochloride， 3- O -feruloylquinic acid， chlorogenic acid and phellodendrine hydrochloride were greater than 1.CONCLUSIONS The HPLC fingerprint and content determination methods established in this study are stable and reliable. Chemometric analysis based on multi-component content data can be used for the quality evaluation of P. chinensis . Berberine hydrochloride， phellodendrine hydrochloride，and 3- O -feruloylquinic acid may be the differential markers affecting the overall quality of P. chinensis .

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

Objective To explore factors affecting blood pressure control in chronic disease patients in China's na-tional basic public health service chronic disease patient management program and to find their relationships with Bayesian network(BN)model,in order to provide a scientific basis for comprehensive hypertension management.Methods 5 577 Hypertensive patients were selected from eight provinces(including autonomous regions)covering eastern,central and western parts of China during a survey from 2021 to 2022.Researchers collected individual and community-management data to screen influencing factors by Logistic regression,and to describe factor dependencies and to identify key determinants of blood pressure control with BN in.blood pressure control.Results Logistic regression revealed that urban/rural status,education,alcohol use,exercise,overweight/obesity and com-munity-doctor advice on salt reduction,smoking cessation were significantly associated with blood pressure control(P＜0.05).The BN model identified 22 directed edges showing that urban residence and good hypertension knowl-edge were more correlated with better control,while community-doctor management and services directly affected patient lifestyle habits but not blood pressure control.Conclusions Research should focus more on urban-rural dis-parities and hypertension education.Additionally,improving patient habits and community-doctor services is essen-tial for better blood pressure control.

In the context of the development of transplant oncology,it is of great clinical significance to find a drug with both antitumor and immunosuppressive effects for liver transplantation patients with hepatocellular carcinoma(HCC).The antitumor effect of ginkgolic acid(GA)has been confirmed,and some studies suggest that GA may also have an immunosuppressive effect.The immunosuppressive effect of GA was evaluated by histopathology,T-cell subpopulation,and cytokine detection in rat liver transplantation and mouse cardiac transplantation models,and transcriptomic and metabolomic analysis was used to explore the underlying mechanism of the GA immunosuppressive effect.Metabolites,activation,and ferroptosis markers of CD8+T cells were detected in vivo and in vitro.Based on rat liver transplantation and mouse cardiac transplantation models,the immunosuppressive effect of GA was first confirmed by histopathology,T-cell subpopulation,and cytokine detection.In the mouse cardiac transplantation model,transcriptomics combined with metabolomics demonstrated for the first time that GA inhibited lactate dehydrogenase A(LDHA)expression and pyruvate metabolism in CD8+T cells.It was confirmed in vivo and in vitro that GA inhibited pyruvate metabolism of CD8+T cells through LDHA,inhibiting their activation and inducing ferroptosis.Over-expression of LDHA partially reversed the effect of GA on the metabolism,activation,and ferroptosis of CD8+T cells in vitro.GA mediates metabolic reprogramming through LDHA to inhibit the activation and induce ferroptosis of CD8+T cells to exert an immunosuppressive effect,which lays an experimental foundation for the future clinical application of its immunosuppressive effect.

Objective:To investigate the clinical efficacy and safety of a modified injection technique for improving temporal concavity deformities.Methods:A prospective study was conducted on 157 female patients who underwent temporal concavity augmentation at the Department of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, from June 2019 to June 2022. The patients were aged from 32 to 48 (38.2±3.1) years. Granular fat was obtained through liposuction and purification. Using the midpoint of the frontotemporal line as the entry point, the granular fat tissue was injected evenly at multiple points under the skin and superficial temporal fascia. Additional granular fat was injected in the temporal edge area to ensure a smooth appearance. The visual analogue scale (VAS) was used to assess the patients' intraoperative pain levels. Follow-up visits were conducted for one year postoperatively to assess patient satisfaction with the improvement in temporal concavity, local pigmentation, and fine lines in the lateral orbital area based on preoperative and postoperative photographs. Complications, including swelling, ecchymosis, hematoma, fat embolism, infection, fat liquefaction, and subcutaneous induration, were recorded immediately after surgery and at the one-year follow-up.Results:All the 157 patients experienced mild swelling in the injection area postoperatively, which resolved within 3 to 6 days. Ecchymosis occurred in 15 patients and spontaneously resolved within 10 days. Eleven patients had asymmetry in the filled area, with 3 recovering after local massage and observation, and the remaining 8 undergoing a second fat grafting procedure. A total of 25 patients underwent more than two fat grafting procedures, including 4 who underwent three procedures. Mild local hematoma occurred in 3 patients postoperatively. The intraoperative pain VAS was (1.8±0.5) score. After treatment, the improvement scores for temporal concavity, local pigmentation, and fine lines in the lateral orbital area were (7.4±0.7), (6.8±0.7), and (7.9±0.7) scores, respectively. After one year of follow-up, no complications such as fat embolism, infection, fat liquefaction, or subcutaneous induration were observed in the 157 patients.Conclusion:The modified injection technique for improving temporal concavity deformities is safe and effective, with high patient satisfaction.

BACKGROUND:Previous studies have shown that Huosui Formula has a synergistic effect on the immune and hematopoietic regulation of patients with myelodysplastic syndrome,but the specific mechanism is not yet clear.OBJECTIVE:To explore the effect and mechanism of Huosui Formula on bone marrow hematopoiesis in rats with myelodysplastic syndrome.METHODS:A total of 70 SD rats were randomly divided into a normal control group(n=10),a model group(n=15),a western medicine group(n=15),a low-dose Huosui Formula group(n=15),and a high-dose Huosui Formula group(n=15).Except for the normal control group,the other four groups were injected with dimethyl benzanthracene via the tail vein to induce the establishment of rat myelodysplastic syndrome models.After modeling,the normal control group and the model group were given normal saline;the western medicine group was given thalidomide capsules 10 mg/kg and retinoic acid tablets 4 mg/kg,and the low-dose Huosui Formula group and the high-dose Huosui Formula group were given 1.5 and 6 g/kg Huosui Formula,respectively,by intragastric administration once a day for 28 consecutive days.Peripheral blood and femoral bone marrow tissue were collected to detect peripheral blood routine and bone marrow biopsy hematopoietic proliferation.Flow cytometry was used to detect T lymphocyte subsets and the expression of CTLA-4 and PD-1 on T lymphocytes.RESULTS AND CONCLUSION:(1)Compared with the normal control group,peripheral blood leukocyte,neutrophil,hemoglobin,platelet,and CD4+,CD4+/CD8+levels were decreased in the model group significantly(P＜0.05),while CD4+PD-1+,CD8+PD-1+,CD4+CTLA-4+,and CD8+CTLA-4+expressions were significantly upregulated(P＜0.05).(2)In all dosage groups,myelopoietic proliferation was increased compared with the model group,with no significant difference between the groups(P＞0.05).(3)Compared with the model group,leukocytes,hemoglobin,platelets,and CD4+,CD4+/CD8+were significantly elevated in the high-dose Huosui Formula group(P＜0.05),the expression of CD8+was significantly lower(P＜0.05),and the levels of CD4+PD-1+,CD8+PD-1+,CD4+CTLA-4+,and CD8+CTLA-4+were down-regulated but not statistically significant(P＞0.05).(4)The western medicine group and the high-dose Huosui Formula group showed similar efficacy.The improvement of each index in the high-dose Huosui Formula group was superior to that in the low-dose Huosui Formula group.These findings indicate that Huosui Formula can improve the bone marrow hematopoiesis in myelodysplastic syndrome model rats,increase the levels of CD4+,and CD4+/CD8+while down-regulate the expression levels of CD4+PD-1+,CD8+PD-1+,CD4+CTLA-4+,and CD8+CTLA-4+.These observations suggest a link to the negative immunoregulation mechanism.

Malonylation is an important post-translational modification of proteins.In this work,a comprehensive malonylation proteomics study on hepatocellular carcinoma(HCC)tumorous and non-tumorous tissues using antibody enrichment combined with high performance liquid chromatography-mass spectrometry for discovery of early diagnostic biomarkers or potential new drug targets of HCC was performed.A total of 1299 malonylated peptides containing 1064 malonylated sites were identified from HCC tissues,corresponding to 511 malonylated proteins.Quantitative results showed that 56 and 80 malonylated proteins were up-regulated and down-regulated in HCC tissues,including 60 and 101 malonylated sites,respectively.Kyoto encyclopedia of genes and genomes(KEGG)pathway analysis showed that these differentially modified proteins were involved in various important pathways such as metabolic pathways,fatty acid degradation,and glycolysis/gluconeogenesis.As a key enzyme in glycolysis/gluconeogenesis,phosphoenolpyruvate carboxykinase 1(PCK1)was malonylated at lysine 244(K244)and the malonylation was only detected in HCC tumorous tissues.More importantly,the K244 site served as a binding site for Mn2+and highly conserved across different species.Therefore,it could speculate that the malonylation of K244 would affect its activity and played a role in liver cancer by affecting its binding with Mn2+,which requied further verification through site mutation experiments.Western blot analysis by malonylation pan antibody showed that the malonylation level reduced markedly in HCC tumorous tissues compared with adjacent non-tumorous tissues,which was consistent with mass spectrometry data.In addition,the proliferation and invasion of PLC/PRF/5 cell was significantly inhibited and protein malonylation level was increased obviously when treated with sodium malonate.All the evidence indicated that protein malonylation played an important role in HCC pathogenesis,and its molecular mechanism deserved further investigation.Furthermore,the 136 differentially malonylated proteins provided rich source of candidate targets for further research on HCC pathogenesis.