1.Heartbeat-evoked responses to cue-induced craving in heroin use disorder individuals
Dingming CHANG ; Yongxin CHENG ; Juan WANG ; Ruowan LI ; Fang DONG ; Kai YUAN ; Dahua YU
Chinese Journal of Clinical Medicine 2026;33(2):230-239
Objective To explore the differences in heartbeat-evoked response (HER) under drug-related cues and neutral cues in individuals with heroin use disorder (HUD), and analyze the correlation between HER potentials and immediate cue-induced craving scores. Methods Fifty HUD participants were recruited from the Chang’an Compulsory Isolation Drug Rehabilitation Center in Shaanxi Province from June to September 2024. Simultaneous acquisition of 64-channel electroencephalography (EEG) and electrocardiogram signals was performed. Twenty alternating segments of drug-related and neutral cue videos were presented, and participants rated their subjective craving after each segment using visual analogue scale (VAS) scores. Scalp EEG data were source analyzed to obtain cortical EEG signals and corresponding HER. Short-time Fourier transform was used to calculate the power spectral density (PSD) of EEG within a time window from 100 ms before the R-peak to 500 ms after it, using the R-peak as the time zero point. Cluster-based permutation testing was used to analyze PSD differences between drug-related and neutral cues in the HUD individuals. Pearson correlation analysis was performed to evaluate the correlation between HER potentials and VAS scores. Results In the 350–420 ms time window, HER potentials in the left posterior parietal, temporal, and posterior cingulate cortices were significantly lower under drug-related cues compared to neutral cues (P<0.01); in the 140–210 ms time window, HER potentials in the right prefrontal cortex were significantly higher under drug-related cues compared to neutral cues (P<0.01). Correlation analysis showed that HER potentials in the left temporal and left posterior cingulate cortices were significantly negatively correlated with VAS scores (P<0.05). Drug-related cues enhanced PSD of γ power (30–100 Hz) in salience network (fronto-insular), parietal and occipital regions (P<0.05). PSD integrations of low-γ power (40–60 Hz) in parietal region (350–400 ms) and high-γ power (70–100 Hz) in left salience network (fronto-parietal) and occipital regions (300–350 ms) were positively correlated with VAS scores (P<0.05). Conclusions Drug-related cues may modulate cortical activity related to heartbeat perception in HUD individuals, and such dynamic changes in both time and frequency domains are stably associated with subjective craving.
2.Research Advances in Traditional Chinese Medicine Regulation of Pyroptosis for Lung Cancer Prevention and Treatment
Qiongqiong GUO ; Meihao XUE ; Xuchao DONG ; Ping TIAN ; Rong HU ; Longxin XU ; Juan LI ; Jianqing LIANG ; Jintian LI
Medical Journal of Peking Union Medical College Hospital 2026;17(3):716-725
Lung cancer remains one of the leading causes of cancer-related morbidity and mortality worldwide, and its treatment continues to face major challenges such as therapeutic resistance and tumor recurrence. Pyroptosis, a newly characterized form of programmed cell death, induces tumor cell death through gasdermin-mediated membrane pore formation and is accompanied by the release of inflammatory mediators, thereby playing complex roles in lung cancer initiation, progression, and modulation of the tumor microenvironment. Active components and herbal formulas derived from traditional Chinese medicine can modulate pyroptosis-related signaling pathways through multi-target mechanisms, showing potential advantages in inducing lung cancer cell death, inhibiting proliferation and migration, and reversing chemoresistance. This review systematically summarizes relevant studies from domestic and international sources, focusing on the molecular mechanisms of pyroptosis, its roles in lung cancer development and tumor microenvironment remodeling, and the current research progress on traditional Chinese medicine-based interventions targeting pyroptosis, with the aim of providing references for the prevention and treatment of lung cancer using traditional Chinese medicine.
3.Salidroside alleviates progression of Parkinson's disease by modulating inflammatory responses
Xiao-lin DONG ; Gang WU ; Yan-ping LI ; Li-juan ZHANG ; Fu-rong JIN ; Rui LI ; Hong-mei LI ; Xiao-xiao ZHANG ; Qing-yun LI
Chinese Pharmacological Bulletin 2025;41(7):1340-1345
Aim To explore the neuroprotective effects of salidroside on Parkinson's disease(PD)through modulation of inflammatory responses and the underly-ing mechanisms.Methods Mice were divided into five groups:healthy control group,1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)disease group,low-dose Rhodioloside intervention group,medium-dose salidroside intervention group,and high-dose salidro-side intervention group.MPTP-induced PD mouse model was established,and salidroside intervention was administered.Behavioral changes,inflammatory cyto-kine levels,autophagy-related protein expression,and neurons were observed through histological analysis and immunohistochemical staining.Results After MPTP treatment,mice exhibited significant behavioral chan-ges,increased pro-inflammatory cytokines,decreased anti-inflammatory cytokines,reduced autophagy-related proteins,and evident pyroptosis.Salidroside interven-tion alleviated these changes in a dose-dependent man-ner.Conclusions Salidroside exerts neuroprotective effects on PD by alleviating inflammatory responses and promoting autophagy,thereby protecting neurons.
4.Quality evaluation of benchmark sample of Zexie Decoction based on HPLC fingerprints and content determination
Chun-qin LI ; Yue LIANG ; Yu-juan ZHANG ; Li-ying PENG ; Jun-jun SHI ; An-dong YANG ; Tuo KAI
Chinese Traditional Patent Medicine 2025;47(8):2485-2490
AIM To evaluate the quality of benchmark sample of Zexie Decoction.METHODS HPLC fingerprints were established,after which the content determination of epoxy alisma ene,23-acetyl alisol B,23-acetyl alisol C,alisol A,alisol B,atractylenolide Ⅰ,atractylenolide Ⅱ and atractylenolide Ⅲ was performed,and the transfer rate and paste yield were calculated.RESULTS There were 20 common peaks in the fingerprints for 15 batches of benchmark samples with the similarities of more than 0.95.The average contents of various effective constituents were 180.86 μg/g for alisol B 23-acetate,18.65 μg/g for alisol C 23-acetate,34.74 μg/g for alismoxide,17.65 μg/g for alisol A,238.19 μg/g for alisol B,2.85 μg/g for atractylenolide Ⅰ,6.38 μg/g for atractylenolide Ⅱ,and 15.42 μg/g for atractylenolide Ⅲ,respectively.In the decoction piece-benchmark sample,alisol B 23-acetate,alisol C 23-acetate,atractylenolide Ⅰ,atractylenolide Ⅱ and atractylenolide Ⅲ demonstrated the average transfer rates of 12.09%,16.45%,3.93%,12.17%and 34.37%respectively.The paste yields in various batches of benchmark samples were 15.2%-20.2%.CONCLUSION HPLC fingerprints combined with content determination can be used for the quality control of benchmark sample of Zexie Decoction,thus provides a reference for the development of its compound preparations.
5.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
6.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
7.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
8.Regulatory effect and molecular mechanism of circ_0044556 targeting the miR-338-3p/BRD4 axis on the malignant biological behavior of triple negative breast cancer cells
Xing-Juan DONG ; Ya-Li ZHANG ; Wei XING ; Ying-Ying ZHU ; Yong-Li CHENG ; Ping YU
Medical Journal of Chinese People's Liberation Army 2025;50(9):1146-1153
Objective To investigate the regulatory effect and molecular mechanism of circ_0044556 on the malignant biological behavior of triple negative breast cancer(TNBC)cells by targeting the miR-338-3p/bromodomain-containing protein 4(BRD4)axis.Methods The TargetScan online website was used to predict the binding sites of circ_0044556 with miR-338-3p and miR-338-3p with BRD4.Dual-luciferase reporter gene assays were performed to determine the relationship among circ_0044556,miR-338-3p,and BRD4 in MDA-MB-231 cells.Quantitative real-time PCR(qRT-PCR)and Western blotting were employed to detect the expression of circ_0044556,miR-338-3p,and BRD4 protein in human TNBC cell line MDA-MB-231 and human normal breast epithelial cells MCF-10A.MDA-MB-231 cells were divided into NC group,si-NC group(transfected with si-NC),si-circ_0044556 group(transfected with si-circ_0044556),si-circ_0044556+inhibitor NC group(transfected with si-circ_0044556 and inhibitor NC),and si-circ_0044556+miR-338-3p inhibitor group(transfected with si-circ_0044556 andmiR-338-3p inhibitor).qRT-PCR was applied to detect the expression of circ_0044556 and miR-338-3p;Western blotting was used to detect the expression of BRD4,E-cadherin,N-cadherin and Vimentin;the CCK-8 assay was applied to detect cell proliferation;flow cytometry was applied to detect cell apoptosis;and Transwell assays were used to detect cell invasion and migration.Thirty nude mice were randomly divided into NC group(tail vein injection of normal saline),si-NC group(tail vein injection of LV-NC),si-circ_0044556 group(tail vein injection of LV-circ_0044556),si-circ_0044556+inhibitor NC group(tail vein injection of LV-circ_0044556 and antiagomir NC),and si-circ_0044556+miR-338-3p inhibitor group(tail vein injection of LV-circ_0044556 and antiagomir miR-338-3p),with 6 mice per group.A xenograft tumor model was constructed by subcutaneous injection of MDA-MB-231 cells into nude mice,and tumor volume and weight were measured.Results TargetScan prediction results showed that the downstream miRNA of circ_0044556 was miR-338-3p,and the downstream target gene of miR-338-3p might be BRD4.Compared with transfecting mimic NC,transfection with miR-338-3p mimic significantly reduced the luciferase activities of WT-circ_0044556(0.34±0.03 vs.1.00±0.15,P<0.05)and WT-BRD4(0.41±0.05 vs.1.05±0.13,P<0.05)in MDA-MB-231 cells.Compared with MCF-10A cells,the expression levels of circ_0044556 and BRD4 protein in MDA-MB-231 cells were significantly increased,while the expression level of miR-338-3p was significantly decreased(P<0.05).Compared with NC group and si-NC group,the expression levels of circ_0044556,the protein expression levels of BRD4,N-cadherin,and Vimentin,and the OD450 value in MDA-MB-231 cells of si-circ_0044556 group and si-circ_0044556+inhibitor NC group were significantly decreased(P<0.05),the number of migrated and invaded cells was significantly reduced(P<0.05),and the expression level of miR-338-3p,the protein expression level of E-cadherin,and the cell apoptosis rate in MDA-MB-231 cells were significantly increased(P<0.05);downregulation of miR-338-3p rescued the inhibitory effect of circ_0044556 knockdown on invasion,migration,and proliferation of MDA-MB-231 cells.Compared with NC group and si-NC group,the tumor volume and weight in si-circ_0044556 group and si-circ_0044556+inhibitor NC group were significantly decreased(P<0.05);compared with si-circ_0044556 group and si-circ_0044556+inhibitor NC group,the tumor volume and weight in si-circ_0044556+miR-338-3p inhibitor group were significantly increased(P<0.05).Conclusion circ_0044556 may promote the malignant biological behaviors of TNBC cells through the miR-338-3p/BRD4 axis.
9.Paraventricular nucleus p-ERK neurons involving in the anorectic effect of amylin
Guo-Jun LI ; Hao-Dong LIU ; Xiao-Juan CAO ; Chen-Guang DU
Acta Anatomica Sinica 2025;56(6):651-657
Objective To explore the regulatory effect of amylin on the feeding behavior of mice through the ERK pathway of paraventricular nucleus of the hypothalamus(PVN).Methods A total of 54 C57BL/6J mice were randomly divided into multiple groups for experiments.First,immunofluorescence was used to detect the distribution of ERK and calcitonin receptor(CTR)neurons in the brains of 4 mice.A chemical lesion model of PVN neurons was established,and 16 mice were divided into four groups(4 mice per group):control(Ctrl)group,ibotenic acid(IBO)-lesioned group,amylin group,and amylin+IBO group.The number of ERK-positive neurons in the PVN region and food intake were then measured.Subsequently,16 mice were divided into four groups(4 mice per group),Ctrl group,amylin group,ERK antagonist U0126 group,and amylin+U0126 group.The expression level of the immediate early gene c-fos in the PVN was detected by Real-time PCR.Immunofluorescence was used to detect the distribution of p-ERK positive neurons in the brains of 4 saline-treated mice and 4 amylin-treated mice.Finally,18 mice were randomly divided into three groups(6 mice per group)through intracerebroventricular injection,Ctrl group,amylin group,and amylin+receptor antagonist AC 187 group.Then,triple immunofluorescence was used to detect the co-expression of p-ERK,neuronal nitric oxide synthase(nNOS),and CTR-immunopositive neurons in the PVN region,and food intake within 3 hours after treatment was recorded simultaneously.Results ERK-positive neurons were mainly distributed in the suprachiasmatic nucleus(SCN),arcuate nucleus(ARC),and locus coeruleus(LC),while ERK and CTR co-expressing positive neurons were specifically enriched in the PVN(P=0.0012).Lesion of PVN neurons led to a decrease in the number of ERK-positive neurons(P<0.001)and blocked the anorectic effect of amylin(P<0.001).Amylin activated the expression of the c-fos gene in the PVN region(P<0.05),and this effect was inhibited by U0126(P<0.05).After intracerebroventricular injection of amylin,the number of triple-positive neurons for p-ERK,nNOS,and CTR in the PVN increased(P<0.05).Addition of AC 187 blocked the activation effect of amylin(P<0.01)and reversed the anorectic effect of amylin(1 h,P=0.2218;2 h,P=0.2218;3 h,P=0.6974).Conclusion P-ERK neurons in the PVN regulate feeding behavior through an amylin receptor-dependent ERK signaling pathway.
10.Construction of prognostic model for intravenous thrombolysis in acute ischemic stroke based on interpretable machine learning
Juan LI ; Dong QI ; Lei ZHUANG ; Zheng SI
Journal of Clinical Medicine in Practice 2025;29(8):28-34
Objective To construct machine learning(ML)model for predicting early neurologi-cal deterioration(END)after intravenous thrombolysis(IVT)in patients with acute ischemic stroke(AIS),and to analyze risk factors of END using Shapley additive explanations(SHAP).Methods A total of 97 AIS patients who received IVT were enrolled.Patients were divided into END group(18 cases)and non-END group(79 cases)based on whether they experienced END within 24 hours post-IVT.All patients were randomly divided into training set(n=68)and validation set(n=29)at ra-tio of 7 to 3.Univariate and least absolute shrinkage and selection operator(LASSO)analyses were performed to screen important feature variables associated with END from clinical data.Six ML algo-rithms,including random forest,light gradient boosting machine,decision tree,support vector ma-chine,k-nearest neighbors and extreme gradient boosting,were employed to construct predictive mod-els.Receiver operating characteristic(ROC)curves,calibration curves and clinical decision curve analysis(DC A)were used to evaluate the performance of each ML model.The SHAP method was introduced to interpret the optimal ML model.Results Among the six ML algorithm models,the random forest model was identified as best predictive model.In the training set,it achieved area un-der the curve(AUC)of 0.909,with specificity,precision,recall and F1 score being 0.873,0.856,0.910 and 0.825,respectively.In the validation set,its AUC was 0.915,with correspond-ing values of 0.824,0.800,0.945 and 0.834.Calibration curves and DC A demonstrated that the random forest model had higher prediction accuracy and clinical net benefit.SHAP variable impor-tance plots revealed that the top six contributing imaging factors to END were large-area cerebral in-farction,pre-thrombolysis National Institutes of Health Stroke Scale(NIHSS)score,door-to-needle time(DNT),history of atrial fibrillation,white blood cell(WBC)levels and history of diabetes.Conclusion ML models can effectively predict the risk of END in IVT patients,with the random forest model demonstrating the best predictive performance.Combining SHAP for model visualization interpretation aids clinicians in understanding the contribution of each feature variable to the predic-tion results,thereby facilitating targeted preventive treatment strategies.

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