1.Comparison of Wild and Cultivated Gardeniae Fructus Based on Traditional Quality Evaluation
Yuanjun SHANG ; Bo GENG ; Xin CHEN ; Qi WANG ; Guohua ZHENG ; Chun LI ; Zhilai ZHAN ; Junjie HU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):225-234
ObjectiveBased on traditional quality evaluation of Gardeniae Fructus(GF) recorded in historical materia medica, this study systematically compared the quality differences between wild and cultivated GF from morphological characteristics, microscopic features, and contents of primary and secondary metabolites. MethodsVernier calipers and analytical balances were used to measure the length, diameter and individual fruit weight of wild and cultivated GF, and the aspect ratio was calculated. A colorimeter was used to determine the chromaticity value of wild and cultivated GF, and the paraffin sections of them were prepared by safranin-fast green staining and examined under an optical microscope to observe their microstructure. Subsequently, the contents of water-soluble and alcohol-soluble extracts of wild and cultivated GF were detected by hot immersion method under the general rule 2201 in volume Ⅳ of the 2020 edition of the Pharmacopoeia of the People's Republic of China, the starch content was measured by anthrone colorimetric method, the content of total polysaccharides was determined by phenol-sulfuric acid colorimetric method, the sucrose content was determined by high performance liquid chromatography coupled with evaporative light scattering detection(HPLC-ELSD), and the contents of representative components in them were measured by ultra-performance liquid chromatography(UPLC). Finally, correlation analysis was conducted between quality traits and phenotypic traits, combined with multivariate statistical analysis methods such as principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA), key differential components between wild and cultivated GF were screened. ResultsIn terms of traits, the wild GF fruits were smaller, exhibiting reddish yellow or brownish red hues with significant variation between batches. While the cultivated GF fruits are larger, displaying deeper orange-red or brownish red. The diameter and individual fruit weight of cultivated GF were significantly greater than those of wild GF, while the blue-yellow value(b*) of wild GF was significantly higher than that of cultivated GF. In the microstructure, the mesocarp of wild GF contained numerous scattered calcium oxalate cluster crystals, while the endocarp contained stone cell class round, polygonal or tangential prolongation, undeveloped seeds were visible within the fruit. In contrast, the mesocarp of cultivated GF contained few calcium oxalate cluster crystals, or some batches exhibited extremely numerous cluster crystals. The stone cells in the endocarp were predominantly round-like, with the innermost layer arranged in a grid pattern. Seeds were basically mature, and only a few immature seeds existed in some batches. Regarding primary metabolite content, wild GF exhibited significantly higher total polysaccharide level than cultivated GF(P<0.01). In category-specific component content, wild GF exhibited significantly higher levels of total flavonoids and total polyphenols compared to cultivated GF(P<0.01). Analysis of 12 secondary metabolites revealed that wild GF exhibited significantly higher levels of Shanzhiside, deacetyl asperulosidic acid methyl ester, gardenoside and chlorogenic acid compared to cultivated GF(P<0.01). Conversely, the contents of genipin 1-gentiobioside, geniposide and genipin were significantly lower in wild GF(P<0.01). ConclusionThere are significant differences between wild and cultivated GF in terms of traits, microstructure, and contents of primary and secondary metabolites. At present, the quality evaluation system of cultivated GF remains incomplete, and this study provides a reference for guiding the production of high-quality GF medicinal materials.
2.A Randomized Controlled,Double-Blind Study on Huaban Jiedu Formulation (化斑解毒方) in the Treatment of Psoriasis Vulgaris with Blood-Heat Syndrome
Xuewen REN ; Yutong DENG ; Huishang FENG ; Bo HU ; Jianqing WANG ; Zhan CHEN ; Xiaodong LIU ; Xinhui YU ; Yuanwen LI
Journal of Traditional Chinese Medicine 2025;66(16):1679-1686
ObjectiveTo evaluate the clinical efficacy and safety of Huaban Jiedu Formulation (化斑解毒方, HJF) in treating psoriasis vulgaris with blood-heat syndrome. MethodsA randomized, double-blind, placebo-controlled study was conducted with 60 patients diagnosed with psoriasis vulgaris of blood-heat syndrome. Patients were randomly assigned to either a treatment group or a control group, with 30 cases in each. The treatment group received HJF granules orally, one dose a day, combined with topical Qingshi Zhiyang Ointment (青石止痒软膏), while the control group received placebo granules, one dose a day, combined with the same topical ointment. Both groups were topically treated twice daily of 28 days treatment cours. Psoriasis area and severity index (PASI), visual analogue scale for pruritus (VAS), traditional Chinese medicine (TCM) syndrome scores, dermatology life quality index (DLQI), and psoriasis life stress inventory (PLSI) were assessed before treatment and on day 14 and day 28. Response rates for PASI 50 (≥50% reduction) and PASI 75 (≥75% reduction), as well as overall clinical efficacy, were compared between groups. Serum levels of interleukin-6 (IL-6) and interleukin-17 (IL-17) were measured before and after 28 days of treatment. Adverse reactions during treatment were recorded. ResultsAfter 28 days of treatment, both groups showed significant reductions in PASI total score, lesion area score, erythema, scaling, and infiltration scores, pruritus VAS score, TCM syndrome score, DLQI, PLSI, and serum IL-6 and IL-17 levels (P<0.05). Compared to the control group, the treatment group had significantly greater improvements in PASI total score and erythema score, TCM syndrome score, serum IL-6 and IL-17 levels, and PASI 50 response rate after 28 days (P<0.05). Between-group comparisons of score differences before and after 28-day treatment revealed that the treatment group showed significantly better improvements in PASI total, lesion area score, erythema score, TCM syndrome score, DLQI, PLSI, and inflammatory markers (P<0.05 or P<0.01). The total effective rate on day 14 and day 28 was 40.00% (12/30) and 83.33% (25/30) in the treatment group, versus 6.90% (2/29) and 41.38% (12/29) in the control group, respectively. The clinical efficacy in the treatment group was significantly superior to that in the control group (P<0.05). Mild gastric discomfort occurred in 3 patients in the treatment group and 1 in the control group. ConclusionHJF can effectively improve skin lesions and TCM symptoms relieve pruritus, enhance quality of life, and reduce inflammatory markers IL-6 and IL-17, in patients with blood-heat syndrome of psoriasis vulgaris, with a good safety profile.
3.Chemical constituents of Sophorae Flavescentis Radix and its residue based on UPLC-Q-TOF-MS.
Qian-Wen LIU ; Rong-Qing ZHU ; Qian-Nan HU ; Xiang LI ; Guang YANG ; Zi-Dong QIU ; Zhi-Lai ZHAN ; Tie-Gui NAN ; Mei-Lan CHEN ; Li-Ping KANG
China Journal of Chinese Materia Medica 2025;50(3):708-718
Sophorae Flavescentis Radix is one of the commonly used traditional Chinese medicine in China, and a large amount of pharmaceutical residue generated during its processing and production is discarded as waste, which not only wastes resources but also pollutes the environment. Therefore, elucidating the chemical composition of the residue of Sophorae Flavescentis Radix and the differences between the residue and Sophorae Flavescentis Radix itself is of great significance for the comprehensive utilization of the residue. This study, based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) technology combined with multivariate statistical methods, provides a thorough characterization, identification, and differential analysis of the overall components of Sophorae Flavescentis Radix and its residue. Firstly, 61 compounds in Sophorae Flavescentis Radix were rapidly identified based on their precise molecular weight, fragment ions, and compound abundance, using a self-constructed compound database. Among them, 41 compounds were found in the residue, mainly alkaloids and flavonoids. Secondly, through principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA), 15 key compounds differentiating Sophorae Flavescentis Radix from its residue were identified. These included highly polar alkaloids, such as oxymatrine and oxysophocarpine, which showed significantly reduced content in the residue, and less polar flavonoids, such as kurarinone and kuraridin, which were more abundant in the residue. In summary, this paper clarifies the overall composition, structure, and content differences between Sophorae Flavescentis Radix and its residue, suggesting that the residue of Sophorae Flavescentis Radix can be used as a raw material for the extraction of its high-activity components, with promising potential for development and application in cosmetics and daily care. This research provides a scientific basis for the future comprehensive utilization of Sophorae Flavescentis Radix and its residue.
Drugs, Chinese Herbal/chemistry*
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Chromatography, High Pressure Liquid/methods*
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Mass Spectrometry/methods*
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Sophora/chemistry*
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Flavonoids/chemistry*
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Alkaloids/chemistry*
4.NINJ1 impairs the anti-inflammatory function of hUC-MSCs with synergistic IFN-γ and TNF-α stimulation.
Wang HU ; Guomei YANG ; Luoquan AO ; Peixin SHEN ; Mengwei YAO ; Yuchuan YUAN ; Jiaoyue LONG ; Zhan LI ; Xiang XU
Chinese Journal of Traumatology 2025;28(4):276-287
PURPOSE:
To investigate the regulatory role of nerve injury-induced protein 1 (NINJ1) in the anti-inflammatory function of human umbilical cord mesenchymal stem cells (hUC-MSCs) co-stimulated by interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α).
METHODS:
hUC-MSCs were expanded in vitro using standard protocols, with stem cell characteristics confirmed by flow cytometry and multilineage differentiation assays. The immunomodulatory properties and cellular activity of cytokine-co-pretreated hUC-MSCs were systematically evaluated via quantitative reverse transcription RT-qPCR, lymphocyte proliferation suppression assays, and Cell Counting Kit-8 viability tests. Transcriptome sequencing, Western blotting and small interfering RNA interference were integrated to analyze the regulatory mechanisms of NINJ1 expression. Functional roles of NINJ1 in pretreated hUC-MSCs were elucidated through gene silencing combined with lactate dehydrogenase release assays, Annexin V/Propidium Iodide apoptosis analysis, macrophage co-culture models, and cytokine Enzyme-Linked Immunosorbent Assay. Therapeutic efficacy was validated in a cecal ligation and puncture-induced septic mouse model: 80 mice were randomly allocated into 4 experimental groups (n=20/group): sham group (laparotomy without cecal ligation); phosphate-buffered saline-treated group (cecal ligation and puncture (CLP) + 0.1 mL phosphate-buffered saline); hUC-MSCs (small interfering RNA (siRNA)-interferon-gamma and tumor necrosis factor-alpha co-stimulation (IT))-treated group (CLP + hUC-MSCs transfected with scrambled siRNA); and hUC-MSCs (siNINJ1-IT)-treated group (CLP + hUC-MSCs with NINJ1-targeting siRNA).
RESULTS:
hUC-MSCs demonstrated compliance with International Society for Cellular Therapy criteria, confirming their stem cell identity. IFN-γ/TNF-α co-pretreatment enhanced the immunosuppressive capacity of hUC-MSCs, accompanied by the reduction of cellular viability, while concurrently upregulating pro-inflammatory cytokines such as interleukin-6 and interleukin-1β. This co-stimulation significantly elevated NINJ1 expression in hUC-MSCs, whereas genetic silencing of NINJ1 effectively suppressed pro-inflammatory cytokine production and attenuated damage-associated molecular patterns release through inhibition of programmed plasma membrane rupture. Furthermore, the NINJ1 interference potentiated the ability of cytokine-pretreated hUC-MSCs to suppress LPS-induced pro-inflammatory responses in RAW264.7 macrophages. In cecal ligation and puncture-induced sepsis model, NINJ1-silenced hUC-MSCs exhibited enhanced therapeutic efficacy, manifested by reduced systemic inflammation and multi-organ damage.
CONCLUSION
Our findings shed new light on the immunomodulatory functions of cytokine-primed MSCs, offering groundbreaking insights for developing MSC-based therapies against inflammatory diseases via interfering the expression of NINJ1.
Mesenchymal Stem Cells/drug effects*
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Animals
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Interferon-gamma/pharmacology*
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Tumor Necrosis Factor-alpha/pharmacology*
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Humans
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Mice
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Umbilical Cord/cytology*
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Cells, Cultured
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Apoptosis
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Male
5.Real-world efficacy and safety of azvudine in hospitalized older patients with COVID-19 during the omicron wave in China: A retrospective cohort study.
Yuanchao ZHU ; Fei ZHAO ; Yubing ZHU ; Xingang LI ; Deshi DONG ; Bolin ZHU ; Jianchun LI ; Xin HU ; Zinan ZHAO ; Wenfeng XU ; Yang JV ; Dandan WANG ; Yingming ZHENG ; Yiwen DONG ; Lu LI ; Shilei YANG ; Zhiyuan TENG ; Ling LU ; Jingwei ZHU ; Linzhe DU ; Yunxin LIU ; Lechuan JIA ; Qiujv ZHANG ; Hui MA ; Ana ZHAO ; Hongliu JIANG ; Xin XU ; Jinli WANG ; Xuping QIAN ; Wei ZHANG ; Tingting ZHENG ; Chunxia YANG ; Xuguang CHEN ; Kun LIU ; Huanhuan JIANG ; Dongxiang QU ; Jia SONG ; Hua CHENG ; Wenfang SUN ; Hanqiu ZHAN ; Xiao LI ; Yafeng WANG ; Aixia WANG ; Li LIU ; Lihua YANG ; Nan ZHANG ; Shumin CHEN ; Jingjing MA ; Wei LIU ; Xiaoxiang DU ; Meiqin ZHENG ; Liyan WAN ; Guangqing DU ; Hangmei LIU ; Pengfei JIN
Acta Pharmaceutica Sinica B 2025;15(1):123-132
Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T NANC), time to symptom improvement (T SI), and time of hospital stay (T HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.
6.Amyloid-like fibrils derived from β-sheets of gp120 contribute to the neuronal pathology of HIV-associated neurocognitive disorders.
Chan YANG ; Ruyu WANG ; Chen CHENG ; Jiaqi YU ; Kunyu LU ; Haobin LI ; Jinshen WANG ; Guodong HU ; Hao YANG ; Jianfu HE ; Hao SU ; Qingping ZHAN ; Suiyi TAN ; Tong ZHANG ; Shuwen LIU
Acta Pharmaceutica Sinica B 2025;15(4):2273-2277
7.Risk factor analysis and nomogram prediction model construction for pneumonia complicating infectious mononucleosis in adults
Fei HU ; Mei-Juan PENG ; Xu-Yang ZHENG ; Rui LI ; Jia-Yi ZHAN ; Hai-Feng HU ; Hong-Kai XU ; Deng-Hui YU ; Hong DU ; Jian-Qi LIAN
Medical Journal of Chinese People's Liberation Army 2025;50(11):1359-1365
Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.
8.Advances in roles of caspases in programmed cell death
Yuru HU ; Zhan LI ; Tao LI ; Hui WANG
Military Medical Sciences 2025;49(6):465-472
The caspase family is a conserved cysteine protease with similar amino acid sequences,structures and enzyme characteristics.Caspase is a single polypeptide with a molecular weight of 30-50 kDa,which is composed of three domains:the N-terminal pre-domain,the large submit of 20 kDa and the small submit of 10 kDa.Programmed cell death plays a pivotal role in bodily immune responses to infections byclearing infected cells,activating immune responses of cells and regulating the balance of immune cells,so it is one of the important mechanisms through which the body resists pathogens.The activation and regulation of the caspase family are critical to programmed cell death.This article reviews the latest research progress in caspase activation and its mechanism in programmed cell death.
9.Research on predictive models for adverse postoperative outcomes in cardiac surgery patients in western China: Integrating machine learning and SHAP interpretation
Fan LI ; Zhenfei HU ; Haiting ZHAN ; Yidan HUANG ; Xiaowen DAI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(10):1393-1403
Objective To develop and compare the predictive performance of five machine learning models for adverse postoperative outcomes in cardiac surgery patients, and to identify key decision factors through SHapley Additive exPlanations (SHAP) interpretability analysis. Methods A retrospective collection of perioperative data (including demographic information, preoperative, intraoperative, and postoperative indicators) with 88 variables was conducted from adult cardiac surgery patients at the First Affiliated Hospital of Xinjiang Medical University in 2023. Adverse postoperative outcomes were defined as the occurrence of acute kidney injury and/or in-hospital mortality during the postoperative hospitalization period following cardiac surgery. Patients were divided into an adverse outcome group and a favorable outcome group based on the presence of adverse postoperative outcomes. After screening feature variables using the least absolute shrinkage and selection operator (LASSO) regression method, five machine learning models were constructed: eXtreme gradient boosting (XGBoost), random forest (RF), gradient boosting machine (GBM), light gradient boosting machine (LightGBM), and generalized linear model (GLM). The dataset was randomly divided into a training set and a test set at a 7 : 3 ratio using stratified sampling, with postoperative outcome as the stratification factor. Model performance was evaluated using receiver operating characteristic curves, decision curve analysis, and F1 Score. The SHAP method was applied to analyze feature contribution. Results A total of 639 patients were included, comprising 395 males and 244 females, with a median age of 62 (55, 69) years. The adverse outcome group consisted of 191 patients, while the favorable outcome group included 448 patients, resulting in an adverse postoperative outcome incidence of 29.9%. Univariate analysis showed no significant differences between the two groups for any variables (P>0.05). Using LASSO regression, 16 feature variables were selected (including cardiopulmonary bypass support time, blood glucose on postoperative day 3, creatine kinase-MB isoenzyme, systemic inflammatory response index, etc.), and five machine learning models (GLM, RF, GBM, LightGBM, XGBoost) were constructed. Evaluation results demonstrated that the XGBoost model exhibited the best predictive performance on both the training set (n=447) and test set (n=192), with area under the curve values of 0.761 [95%CI (0.719, 0.800) ] and 0.759 [95%CI (0.692, 0.818) ], respectively. It also significantly outperformed other models in positive predictive value, and balanced accuracy in the test set. Decision curve analysis further confirmed its clinical utility across various risk thresholds. SHAP analysis indicated that variables such as cardiopulmonary bypass support time, blood glucose on postoperative day 3, creatine kinase-MB isoenzyme, and inflammatory markers (SIRI, NLR, CAR) had high contributions to the prediction. Conclusion The XGBoost model effectively predicts adverse postoperative outcomes in cardiac surgery patients. Clinically, attention should be focused on cardiopulmonary bypass support time, postoperative blood glucose control, and monitoring of inflammatory levels to improve patient prognosis.
10.The underlying logic, innovative thinking and research paradigm of antiviral medicinal chemistry
Shuo WANG ; Bao-hu LI ; Shu-jing XU ; Yang ZHOU ; Jin-fei YANG ; Xin-yong LIU ; Peng ZHAN
Acta Pharmaceutica Sinica 2024;59(7):1916-1931
Antiviral drug research and development is an important research direction in the current and future biomedical field. The research and development of antiviral drugs not only requires the application of new strategies and new technologies, but also requires the complementary advantages and close cooperation of project teams. Based on the latest progress in this field and the author's drug research practice, this paper summarizes the underlying logic, innovative thinking and research paradigm of antiviral medicinal chemistry.

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