1.Study on the safety and efficacy of micro-perfusion device for preserving isolated porcine limbs
Pengkai LI ; Zhaodi MI ; Shen LI ; Man YUAN ; Xiwei PENG ; Jia LÜ ; Sice WANG ; Zhibo JIA ; Xiangyu SONG ; Yixuan ZHU ; Chonghui LI ; Moling XIAO ; Wenjing XU ; Jiang PENG
Organ Transplantation 2026;17(3):422-431
Objective To evaluate the safety and efficacy of a self-developed micro-normothermic machine perfusion (NMP) system (micro-perfusion device) for preserving isolated porcine limbs. Methods Five healthy Landrace pigs were selected, and their left and right forelimbs were randomly divided into the NMP group and static cold storage (SCS) group. The NMP group was perfused with the self-developed micro-perfusion device and polymerized hemoglobin perfusate for 32 hours at normothermia, while the SCS group was preserved at 4 ℃. Hemodynamic parameters such as perfusion pressure and flow were monitored. The pH value, partial pressure of oxygen (PO2), lactic acid (Lac), creatine kinase (CK) and lactate dehydrogenase (LDH) in the perfusate were measured. Hematoxylin-eosin staining was used to assess the muscle tissue structure, terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling was employed to evaluate muscle cell apoptosis, and immunohistochemistry staining was applied to detect the expressions of tumor necrosis factor (TNF)-α and interleukin (IL)-6. A mixed-effects model was used to analyze the effects of time and treatment methods on tissue structure, cell apoptosis and inflammatory factors. Results The device could stably maintain a perfusion pressure of (69±15) mmHg and a flow rate of (117±42) mL/min. The pH value and electrolytes of the perfusate were generally stable, with PO2 maintained at a high level. Lac was maintained at 5.38(3.81, 6.45) mmol/L, while CK and LDH increased over time. After 32 hours of perfusion in the NMP group, both the myocyte spacing and apoptosis rate were better than those in the SCS group. Mixed-effects model analysis showed that there were statistically significant differences in the effects of NMP treatment and SCS treatment on myocyte spacing and apoptosis rate per unit time (both P < 0.05). There were no statistically significant differences in TNF-α and IL-6 between the two groups, and mixed-effects model analysis showed no statistically significant differences in the effects of NMP treatment and SCS treatment on TNF-α and IL-6 per unit time (both P > 0.05). Conclusions The micro-perfusion device used in this study may achieve 32-hour normothermic preservation in a porcine limb amputation model, maintain basic metabolism and ionic homeostasis, reduce muscle structural damage and cell apoptosis without inducing additional inflammatory responses. This technology is expected to significantly extend the time window for replantation of amputated limbs in disaster rescue and long-distance transportation, providing an important technical basis for clinical translation and subsequent replantation research.
2.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
3.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
4.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
5.Evaluation of the anticoagulant effect of nafamostat mesylate in continuous veno-venous hemofiltration with different dilution methods for uremic patients
Li SHEN ; Yao ZHANG ; Jun WANG ; Hong ZHU ; Yong QIN ; Yuewu TANG ; Ni DU
China Pharmacy 2026;37(3):350-355
OBJECTIVE To evaluate the anticoagulant efficacy and safety of nafamostat mesylate (NM) in the treatment of uremic patients at high risk of bleeding undergoing continuous veno-venous hemofiltration (CVVH) with different methods (pre- dilution and post-dilution). METHODS A total of 130 uremic patients at high risk of bleeding who underwent CVVH treatment in the nephrology department of Chongqing University Three Gorges Hospital from July 2023 to September 2024 were selected. They were divided into pre-dilution group and post-dilution group according to the random number table method, with 65 cases in each group. Both groups of patients received CVVH treatment under NM anticoagulation. The pre-dilution group adopted the pre-dilution replacement method, while the post-dilution group adopted the post-dilution replacement method. The coagulation, pressure, and usage duration of the filter and dialysis circuit venous reservoirs were compared between the two groups. The changes in prothrombin time (PT), prothrombin time-international normalized ratio (PT-INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB) in the peripheral venous blood before the heparin pump and after the filter at 1, 4 and 7 h of CVVH treatment, as well as 20 min after the end of treatment, were compared between the two groups. The single-compartment urea clearance rate (spKt/V), β2-microglobulin (β2-MG) clearance rate and the incidence of adverse reactions were duni2007@foxmail.com compared between the two groups. RESULTS Both the pre-dilution and post-dilution groups had 60 patients who completed the study. The incidence of grade Ⅱ-Ⅲ coagulation of the filter and venous reservoirs, as well as the number of patients with transmembrane and venous pressure alarm intervention in the post- dilution group were significantly higher or more than those in the pre-dilution group (P<0.05), while usage time of the filter and the pipeline in the post-dilution group was significantly shorter than that in the pre-dilution group (P<0.05). The APTT values before the heparin pump as well as PT and APTT values after the filter at 1 h, 4 h, and 7 h of CVVH treatment in the post-dilution group were significantly higher than those in the pre-dilution group (P<0.001). There were no significant differences in PT, PT- INR, APTT and FIB between the two groups of patients 20 min after the end of treatment (P>0.05). The spKt/v and β2-MG clearance rates in the post-dilution group were significantly higher than those in the pre-dilution group (P<0.001). There was no significant difference in the incidence of adverse reactions between the two groups (P>0.05). CONCLUSIONS When NM is used as an anticoagulant in the CVVH treatment of uremic patients at high risk of bleeding, compared with the pre-dilution treatment method, the post-dilution treatment method has a higher incidence of filter and dialysis tubing venous reservoir, a shorter usage time of the filter and pipeline, and a greater impact on extracorporeal coagulation, but has a higher solute clearance rate. Clinically, different dilution methods can be selected according to the different treatment needs of patients.
6.Mechanistic study on ITGA6 regulation of abdominal wall endometriosis via the PI3K/AKT signaling pathway
Rong GU ; Hailiang HUANG ; Xinrui WANG ; Hanlu LI ; Kaijiang LIU ; Ying ZHU
Acta Universitatis Medicinalis Anhui 2026;61(1):67-74
ObjectiveTo investigate the differential expression of integrin alpha-6(ITGA6) in abdominal wall endometriosis (AWE) tissues and its molecular mechanisms in regulating AWE. Methods36 AWE lesions were designated as the experimental group, while 36 cases of normal endometrial tissues served as the controls. Differential expression of ITGA6 between the two groups was assessed through immunohistochemical (IHC) staining. Human ITGA6 gene-specific interference sequences were designed, synthesized, and packaged into lentiviral vectors to establish the Ishikawa cell line with ITGA6-knockdown. Similarly, the ITGA6-overexpression cell line was constructed using the coding sequence (CDS) of the gene. Real-time PCR and Western blot were performed to detect changes in epithelial-mesenchymal transition(EMT)-related markers and angiogenesis-related indicators. Cell invasion and migration capabilities were assessed by Cell Scratch and Transwell assays. Furthermore, Western blot was conducted to profile PI3K/AKT pathway dynamics. ResultsEctopic endometrial tissues exhibited a marked increase in the number of ITGA6-positive cells and their expression intensity compared to eutopic endometrium (each P < 0.001). Compared with the NC group, the ITGA6-knockdown group showed significantly reduced expression of N-cadherin, VEGF, and TGF-β1 (all P < 0.01), while E-cadherin expression was markedly increased (P < 0.01). Concomitantly, the invasion and migration capacities of ITGA6-low expression were significantly impaired (P < 0.001 for both), accompanied by a marked reduction in AKT and phosphorylated AKT(p-AKT) levels (P < 0.001). Conversely, overexpressing ITGA6 resulted in opposite effects. ConclusionITGA6 modulates EMT and angiogenesis in Ishikawa cells via the PI3K/AKT signaling pathway, thereby enhancing cell invasion and migration capabilities, which contributes to the pathogenesis of AWE.
7.Zuogui Wan Improve Ovarian Inflammatory Microenvironment and Stemness of Ovarian Germline Stem Cells in Ovarian Aging via cGAS/STING Signaling Pathway
Yunling ZHENG ; Xinyi PAN ; Zuang LI ; Yixuan WANG ; Junyi AN ; Yuxin ZOU ; Mengting XIAO ; Zheng CHEN ; Ling ZHU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):1-10
ObjectiveTo investigate the mechanism of Zuogui Wan (ZGW) in improving ovarian inflammatory microenvironment and stemness of ovarian germline stem cells (OSCs) for treating ovarian aging via the cyclic guanosine monophosphate/adenosine monophosphate synthase (cGAS)/stimulator of interferon genes (STING) signaling pathway. MethodsForty C57BL/6 female mice were randomly divided into a blank group, a model group, a low-dose ZGW group (2.7 g·kg-1), a high-dose ZGW group (5.4 g·kg-1), and an estradiol valerate group (0.15 mg·kg-1), with 8 mice in each group. Except the blank group, all other groups received a single intraperitoneal injection of cyclophosphamide at 120 mg·kg-1 to establish an ovarian aging mouse model. After successful modeling, each group was continuously administered for 4 weeks, once daily. The physiological status of the mice was observed, and the ovarian index was calculated. The estrus cycle of the mice was monitored. Hematoxylin-eosin (HE) staining was used to observe pathological changes in ovarian tissue. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum sex hormone levels. Serum inflammatory factors interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and mouse interleukin-6 (IL-6) levels were detected using kits. Western blot was used to detect the protein expression of ovarian cGAS, STING, p-STING, TANK-binding kinase 1 (TBK1), p-TBK1, interferon-induced transmembrane protein 3 (Fragilis), and Vasa homolog protein (MVH). Quantitative real-time polymerase chain reaction (Real-time PCR) was used to detect the mRNA expression of inflammatory factors in ovarian tissue. Immunofluorescence double labeling was performed to locate OSCs in ovarian tissues, and fluorescence intensities of OSCs markers MVH and octamer binding transcription factor 4 (Oct4) were calculated. ResultsCompared with the blank group, the model group showed reduced body weight, ovarian wet weight, and ovarian index (P<0.01) and a disordered estrus cycle (P<0.01). In addition, the levels of serum follicle-stimulating hormone (FSH), TNF-α, IL-6, and IL-1β were increased (P<0.01), while anti-Müllerian hormone (AMH) and estradiol (E2) levels were decreased (P<0.01). The protein expression of cGAS, p-STING/STING, and p-TBK1/TBK1 in ovarian tissue was increased (P<0.05, P<0.01), while that of OSCs stemness factors MVH and Fragilis was reduced (P<0.01). Immunofluorescence indicated a reduction in MVH and Oct4 expression in OSCs (P<0.01). The mRNA expression of inflammatory factors TNF-α, IL-6, and IL-1β in ovarian tissue was increased (P<0.05, P<0.01). Compared with the model group, the treatment groups exhibited improved body weight, ovarian wet weight, and ovarian index (P<0.05) and a reduced rate of estrus cycle disorder (P<0.05, P<0.01). The levels of serum FSH, TNF-α, IL-6, and IL-1β were decreased (P<0.05, P<0.01), while AMH and E2 levels were increased (P<0.01). The protein expression levels of cGAS, p-STING/STING, and p-TBK1/TBK1 in ovarian tissue were decreased (P<0.05), while the protein expression of MVH and Fragilis was increased (P<0.05), and the fluorescence intensities of MVH and Oct4 were increased (P<0.05, P<0.01). The mRNA expression of inflammatory factors in ovarian tissue was decreased (P<0.05). ConclusionZGW alleviate ovarian inflammatory response, regulate ovarian microenvironment homeostasis, and maintain stemness of OSCs in ovarian aging mice probably by modulating the cGAS-STING signaling pathway, thereby improving ovarian function and delaying ovarian aging.
8.Mechanisms of Dihuang Yinzi in Treating Advanced Parkinson's Disease Based on Gut Microbiota-SCFAs-inflammation Axis
Renzhi MA ; Yasi LIN ; Tingyue JIANG ; Hongmei ZHU ; Jiayuan LI ; Yu WANG ; Ge ZHANG ; Wenxin FAN ; Jinli SHI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):11-21
ObjectiveTo observe the effects of Dihuang Yinzi (DY) on motor dysfunction in rats with advanced Parkinson's disease (PD) and to investigate the mechanisms by which DY improves advanced PD symptoms through the "gut microbiota-short-chain fatty acids (SCFAs)-inflammation-neuroprotection pathway". MethodsAn advanced PD rat model was induced by rotenone. Rats were divided into a normal group, model group, positive drug group (levodopa, 50 mg·kg-1), and DY low-, medium-, and high-dose groups (5.2, 10.4, 20.8 g·kg-1). After 7 days of administration, motor function was evaluated using the open-field, pole-climbing, and inclined plate tests. Hematoxylin-eosin (HE) staining was used to observe pathological changes in the substantia nigra and colon, and immunohistochemistry was performed to detect α-Synuclein (α-Syn) and tyrosine hydroxylase (TH) expression in the substantia nigra. Enzyme-linked immunosorbent assay (ELISA) was used to measure levels of dopamine (DA), 5-hydroxytryptamine (5-HT), 3,4-dihydroxyphenylacetic acid (DOPAC), Levodopa, homovanillic acid (HVA), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and interleukin-1β (IL-1β). Western blot analysis was used to detect the expression of zonula occludens-1 (ZO-1) and occludin. Gut microbiota diversity was analyzed by 16S rRNA sequencing, and gas chromatography (GC) was used to determine the content of SCFAs in colonic contents. ResultsCompared with the normal group, the model group showed significantly decreased movement speed and distance in the open-field test, prolonged pole-climbing time, and reduced retention angle on the inclined plate (P<0.01), accompanied by increased α-Syn expression (P<0.01) and decreased TH expression (P<0.01) in the brain. Compared with the model group, all DY dose groups improved motor dysfunction in advanced PD rats to varying degrees (P<0.05, P<0.01) and alleviated pathological damage in the brain and colon. High-dose DY significantly reduced α-Syn aggregation in the substantia nigra (P<0.01) and increased TH expression (P<0.01). ELISA and Western blot results showed that, compared with the normal group, the model group exhibited decreased levels of DA, 5-HT, DOPAC, Levodopa, and HVA in the striatum (P<0.01), increased levels of TNF-α, IL-6, and IL-1β in the colon and striatum (P<0.01), and significantly reduced expression of ZO-1 (P<0.05) and occludin in the colon (P<0.01). Compared with the model group, all DY dose groups increased the levels of DA, 5-HT, DOPAC, Levodopa, and HVA in the striatum to varying degrees (P<0.05, P<0.01). In the high-dose DY group, the levels of TNF-α, IL-6, and IL-1β in the colon and striatum were reduced (P<0.01), while the expression of ZO-1 (P<0.05) and occludin in the intestine was increased. The 16S rRNA sequencing results indicated that the relative abundances of Actinobacteriota, Enterobacteriaceae, and Erysipelotrichaceae were increased in the model group, whereas the relative abundances of Bacteroidota, class Clostridia, Lachnospiraceae, and Akkermansia muciniphila were decreased. These changes were effectively reversed after high-dose DY intervention. GC analysis showed that the content of SCFAs in the colonic contents of rats in the model group was decreased (P<0.05, P<0.01), while after high-dose DY intervention, the levels of acetate, propionate, isobutyrate, and butyrate were significantly increased (P<0.05, P<0.01). ConclusionDY may exert therapeutic effects in advanced PD by regulating the gut microbiota-SCFAs-inflammation pathway.
9.Volatile Component Differences in Xihuangwan Prepared with Natural and Artificial Musk Based on Non-targeted and Targeted Metabolomics
Jing WANG ; Fangzhu XU ; Li MENG ; Qizhen ZHU ; Huanjun ZHAO ; Caina YU ; Xuelian CHEN ; Hui GAO ; Zimin YUAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):194-201
ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry(HS-SPME-GC-MS) and GC-triple quadrupole MS(GC-QqQ-MS) in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk, and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics, and identified by comparing their MS data with the National Institute of Standards and Technology(NIST) spectral library. Orthogonal partial least squares-discriminant analysis(OPLS-DA) was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally, GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene, β-elemene, muscone, dehydroepiandrosterone, bornyl acetate, and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis, principal component analysis(PCA), and partial least squares-discriminant analysis(PLS-DA) were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan, including alkanes, esters, alkanes, alcohols, ketones, naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk(A1, C1, D1, E1, F1, G1, I1) and those containing natural musk(H1, H3). A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart, revealing significant differences in the levels of octanol, borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups:one composed of natural musk(H1, H3) and the other of artificial musk, sample H2. PLS-DA identified muscone, octyl acetate, and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups, statistically significant differences were found for muscone and dehydroepiandrosterone(P<0.05). ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk, providing a scientific basis for quality evaluation and control of Xihuangwan.
10.Volatile Component Differences in Xihuangwan Prepared with Natural and Artificial Musk Based on Non-targeted and Targeted Metabolomics
Jing WANG ; Fangzhu XU ; Li MENG ; Qizhen ZHU ; Huanjun ZHAO ; Caina YU ; Xuelian CHEN ; Hui GAO ; Zimin YUAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):194-201
ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry(HS-SPME-GC-MS) and GC-triple quadrupole MS(GC-QqQ-MS) in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk, and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics, and identified by comparing their MS data with the National Institute of Standards and Technology(NIST) spectral library. Orthogonal partial least squares-discriminant analysis(OPLS-DA) was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally, GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene, β-elemene, muscone, dehydroepiandrosterone, bornyl acetate, and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis, principal component analysis(PCA), and partial least squares-discriminant analysis(PLS-DA) were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan, including alkanes, esters, alkanes, alcohols, ketones, naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk(A1, C1, D1, E1, F1, G1, I1) and those containing natural musk(H1, H3). A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart, revealing significant differences in the levels of octanol, borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups:one composed of natural musk(H1, H3) and the other of artificial musk, sample H2. PLS-DA identified muscone, octyl acetate, and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups, statistically significant differences were found for muscone and dehydroepiandrosterone(P<0.05). ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk, providing a scientific basis for quality evaluation and control of Xihuangwan.

Result Analysis
Print
Save
E-mail