1.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.
2.Celastrol directly targets LRP1 to inhibit fibroblast-macrophage crosstalk and ameliorates psoriasis progression.
Yuyu ZHU ; Lixin ZHAO ; Wei YAN ; Hongyue MA ; Wanjun ZHAO ; Jiao QU ; Wei ZHENG ; Chenyang ZHANG ; Haojie DU ; Meng YU ; Ning WAN ; Hui YE ; Yicheng XIE ; Bowen KE ; Qiang XU ; Haiyan SUN ; Yang SUN ; Zijun OUYANG
Acta Pharmaceutica Sinica B 2025;15(2):876-891
Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.
3.Deep learning-based fusion of color and spectral features from hyperspectral imaging for the origin identification of Salvia miltiorrhiza
Ruibin BAI ; Feng XIONG ; Hui WANG ; Meiqi LUAN ; Junhui ZHOU ; Xiufu WAN ; Zihan ZHAO ; Xiaobo ZHANG ; Chu ZHANG ; Jian YANG
Science of Traditional Chinese Medicine 2025;3(3):250-258
Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.
4.Research progresses of radiomics in thyroid nodules
Yi-xin LIU ; Peng-yu LI ; Zi-liang GUO ; Zhi-hui LI ; Wan-jun ZHAO
Journal of Regional Anatomy and Operative Surgery 2025;34(3):267-271
The detection rate of thyroid nodules has gradually increased in recent years.Comprehensive and accurate preoperative evaluation and early identification of risk factors help doctors to choose treatment options and improve prognosis.Radiomics extracts quantitative features from medical images for evaluation of thyroid nodules through high-throughput mining of invisible image features,which has been widely used and has excellent performance in the identification of benign and malignant thyroid nodules,lymph node metastasis,extrathyroidal extension,molecular biological changes,recurrence and prognosis of thyroid cancer.However,there are also shortcomings such as large differences in performance among models from different institutions.This article reviews the application value,limitations and future development prospects of radiomics in the thyroid nodules,so as to provide new ideas for clinical practice and research.
5.Epidemiological and molecular traceability analysis of the first cluster outbreak of D8 genotype measles in Henan Province
Xiaoxiao ZHANG ; Binghui DU ; Daxing FENG ; Wenhui WANG ; Jing LI ; Lili LIU ; Hui ZI ; Qihua WAN ; Songtao ZHAO ; Xiaoli WANG ; Xiaobo WU ; Yonghao GUO ; Yanyang ZHANG ; Dongyang ZHAO
Chinese Journal of Preventive Medicine 2025;59(8):1294-1298
In February 2025, a local cluster outbreak caused by the D8 genotype Measles virus (MV) was first discovered in Henan Province. Epidemiological investigations and laboratory testing were conducted, including the collection of serum and throat swabs for MV IgM antibody and nucleic acid detection, virus isolation and genetic homology analysis. Measures such as close contact tracing, vaccination rate assessment and supplementary immunization activities were implemented, successfully preventing broader community transmission. A total of three cases were reported during the outbreak, including one imported-related adolescent and two secondary local adult cases. All cases presented with typical symptoms such as fever and rash. Both adult cases were complicated by pneumonia, with one case developing into severe pneumonia. MV genotyping showed that the two secondary cases were both the D8 genotype, with the viral sequences being completely homologous to the Kazakhstan strain. Among the close contacts, 98.2% were adults, and 142 individuals received emergency vaccination.
6.Deep learning-based fusion of color and spectral features from hyperspectral imaging for the origin identification of Salvia miltiorrhiza
Bai RUIBIN ; Xiong FENG ; Wang HUI ; Luan MEIQI ; Zhou JUNHUI ; Wan XIUFU ; Zhao ZIHAN ; Zhang XIAOBO ; Zhang CHU ; Yang JIAN
Science of Traditional Chinese Medicine 2025;3(3):250-258
Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72%by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.
7.Neferine alleviates intervertebral disc degeneration through KEAP1/NRF2/GPX4 and NF-κB signaling pathways
Hongjin WAN ; Yibin HU ; Xin WANG ; Kai ZHANG ; An QIN ; Peixiang MA ; Hui MA ; Jie ZHAO
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(3):261-270
Objective·To investigate the therapeutic effects of neferine(Nef)on intervertebral disc degeneration(IDD)and the underlying regulatory pathways.Methods·The effects of Nef on the viability and proliferation of nucleus pulposus cells were assessed using the cell counting kit-8(CCK-8)assay.Molecular docking software was employed to analyze the potential binding sites of Nef within the Kelch domain of kelch-like ECH-associated protein 1(KEAP1).Tumor necrosis factor-α(TNF-α)was used to induce ferroptosis and inflammation in nucleus pulposus cells.Western blotting was performed to detect the expression levels of nuclear factor erythroid 2-related factor 2/glutathione peroxidase 4(NRF2/GPX4)pathway-and nuclear factor-KB(NF-κB)pathway-related proteins under TNF-α stimulation with or without Nef.The effect of Nef on the metabolism of extracellular matrix in nucleus pulposus cells was evaluated using high-density cell culture.A needle puncture-induced IDD rat model was established,and 5 μL of 1.5 μmol/L Nef was injected twice into the intervertebral disc at the Co3/4 level(IDD+Nef group),while an equivalent volume of PBS was injected into the Co2/3 disc(IDD group).After 4 weeks,the intervertebral space height was detected by X-ray,disc degeneration was detected by magnetic resonance imaging,and disc structure was evaluated by histological staining.Results·The CCK-8 assay revealed that Nef at concentrations of 1.5 μmol/L and below did not inhibit the viability and proliferation of nucleus pulposus cells.Molecular docking results suggested that Nef might activate NRF2 by directly binding to the KEAP1 Kelch domain,thereby reducing the interaction between KEAP1 and NRF2.Western blotting indicated that Nef significantly increased the expression of the key ferroptosis-inhibiting proteins NRF2 and GPX4,while decreasing the expression of the phospho-P65 protein in the NF-κB pathway(all P<0.05).The high-density culture of nucleus pulposus cells demonstrated that Nef mitigated the TNF-α-induced degradation of the extracellular matrix(P<0.05).Animal study results showed that compared to the IDD group,the IDD+Nef group exhibited a greater intervertebral disc space height,a lower Pfirrmann grade(both P<0.05),and a reduced degree of histological degeneration.Conclusion·Nef may inhibit TNF-α-induced ferroptosis in nucleus pulposus cells by activating the KEAP1/NRF2/GPX4 pathway and reduce TNF-α-induced inflammation and extracellular matrix degradation by suppressing the NF-κB pathway,thereby alleviating IDD in rats.
8.Mechanism of hedysarum polybotrys polysaccharide in improving diabetic gastroparesis based on network pharmacology and molecular docking
Qian GUO ; Rong-ke LI ; Lei ZHANG ; Zhao-hui WEI ; Sheng-fang WAN ; Jing SHAO
Chinese Pharmacological Bulletin 2025;41(6):1158-1166
Aim To investigate the key targets and mechanisms of diabetic gastroparesis(DGP)by in-tegrating network pharmacology and molecular docking technology with animal experiments,and to specifically focus on exploring the effects of hedysarum polybotrys polysaccharide(HPS)on DGP through animal experi-mentation to validate its potential as a treatment for di-abetic gastroparesis.Methods The chemical constit-uents of HPS were analyzed,and the active chemical components of Radix Astragali were identified using the TCMSP database.The Swisstarget database was utilized to screen for HPS active ingredient targets,while DGP-related targets were identified from disease databases such as TTD,GeneCards,Drugbank,and DisGeNET.The STRING database was used to construct the PPI network,and Cytoscape 3.10.1 software was employed for network topology analysis and selection of key tar-gets.Subsequently,a compound-target-pathway net-work diagram was constructed.Key targets underwent GO function(biological function,molecular function,and cellular function)and KEGG pathway enrichment analysis using the Metascape database.Molecular doc-king was performed using Pymol 2.5 and AutoDock software.DGP rat model was established to observe the histopathological changes in small intestine after eight weeks of HPS intervention through HE staining.Addi-tionally,Western blot was conducted to detect the ex-pression of AGEs,RAGE,and NF-κB in eggs.The re-sults revealed a total of 302 key targets.Results A total of 302 key targets which were further analyzed for gene GO function and KEGG pathway enrichment.CUL3,YWHAZ,and NTRK1 were predicted as the key targets with critical pathways including the AGE-RAGE signaling pathway in diabetic complications,viral carci-nogenesis,hepatitis B,and alcoholism signaling path-way among others.Furthermore,in vivo experiments confirmed that HPS could improve small intestine histo-pathology in DGP rats,resulting in significant protective effects on this organ.It also reduced the expression of AGEs,RAGE,and NF-κB protein,hence achieving its purpose of treating DGP.Conclusion HPS has the characteristics of multi-component,multi-target and multi-pathway action,which may affect the regulatory role of AGE-RAGE signaling pathway on DGP,and provide new ideas for the subsequent clinical improve-ment of DGP.
9.Mechanism of improving oxidative stress in diabetic kidney disease by regulating NOX family through ultrafiltration membrane extract of Angelica sinensis and Radix Hedysari
Qian GUO ; Sheng-fang WAN ; Jing SHAO ; Rong-ke LI ; Zhao-hui WEI ; Lei ZHANG
Chinese Pharmacological Bulletin 2025;41(8):1584-1592
Aim To investigate the mechanisms of the ultrafiltration membrane extract of Angelica sinensis and Radix Hedysari extracts on oxidative stress in rats with diabetic kidney disease(DKD).Methods Forty-five SD rats were randomly divided into a control group(n=8)a model group(n=37).Rats in the model group were fed a high-sugar,high-fat diet for four weeks,followed by intraperitoneal injection of strepto-zotocin at a dose of 30 mg·kg-1 to induce diabetes in the rats.Three weeks later,rats with 24-hour urinary protein(24-hUP)levels more than or equal to 30 mg were injected via the tail vein with 0.05 mg·kg-1 of 10%high molecular weight dextran for three times to induce a model of blood stasis in diabetic kidney dis-ease(DKD).The rats were then evaluated for random blood glucose(GLU)levels,24-hUP,biochemical markers,histopathological staining,and the protein expression of nicotinamide adenine dinucleotide phos-phate(NADPH)oxidase(NOX)1,NOX2,NOX3,NOX4,and NOX5 in renal tissues using immunoblot a-nalysis.Results Compared to the control group,rats in the model group showed significantly increased GLU,24-hUP,SCr,BUN,TG,TC,bu markedly de-creased ALB2,HDL,LDL levels,and the relative ex-pression of NOX1,NOX2,NOX4,NOX5 proteins in-creased markedly(P<0.01);Comparison with the model group,rats in the treatment group exhibited sig-nificantly decreased GLU,24-hUP,SCr,BUN,TG,TC at 6 weeks and 8 weeks,but markedly increased ALB2,HDL,LDL levels,and the relative expression of NOX1,NOX2,NOX4,NOX5 proteins decreased significantly(P<0.05).Conclusions The ultrafil-tration membrane extract of Angelica sinensis and Radix Hedysari can effectively ameliorate oxidative stress and renal function in DKD rats,which may be associated with targets within the NOX family.
10.Establishment of animal model of blood stasis syndrome in diabetic kidney disease and metabonomic analysis
Qian GUO ; Sheng-fang WAN ; Rong-ke LI ; Lei ZHANG ; Zhao-hui WEI ; Zi-hui ZHONG ; Jing SHAO
Chinese Pharmacological Bulletin 2025;41(3):592-599
Aim To establish an animal model of diabetic kidney disease(DKD)integrating blood stasis syndrome and syndrome evaluation indicators.Methods Twenty-five SD rats were ran-domly divided according to body weight into a control group(8 rats)and a modeling group(17 rats).The modeling group was fed a high-sugar and high-fat diet for four weeks and induced to form diabetic rats by intraperitoneal injection of 30 mg·kg-1 streptozocin.The modeling rats were randomly divided into the DKD group and blood stasis syndrome combination group accord-ing to 24-hour urinary protein(24-hUP).The blood stasis syn-drome combination group was induced to replicate the DKD blood stasis syndrome model by injecting 10%high molecular weight D-glucoside three times at a dose of 0.05 mg·kg-1 via tail vein.The model was evaluated based on random blood glu-cose level,24-hUP level,syndrome assessment,pathological staining etc,and differential metabolites were selected using metabolomics.Results The comprehensive evaluation of syn-drome manifestations and pathological staining in the combined model of blood stasis syndrome in rats demonstrated successful replication.Utilizing the technique of liquid chromatography-mass spectrometry,22 differential metabolites were identified,with associated pathways showing a certain relevance to blood stasis syndrome in DKD.Conclusions The successful replica-tion of an animal model combining the syndrome of blood stasis in DKD has been achieved in this study.Evaluation of indicators and results from metabolomics studies consistently demonstrate a correlation with the syndrome of blood stasis in DKD.

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