1.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
2.PDGF-C: an Emerging Target in The Treatment of Organ Fibrosis
Chao YANG ; Zi-Yi SONG ; Chang-Xin WANG ; Yuan-Yuan KUANG ; Yi-Jing CHENG ; Ke-Xin REN ; Xue LI ; Yan LIN
Progress in Biochemistry and Biophysics 2025;52(5):1059-1069
Fibrosis, the pathological scarring of vital organs, is a severe and often irreversible condition that leads to progressive organ dysfunction. It is particularly pronounced in organs like the liver, kidneys, lungs, and heart. Despite its clinical significance, the full understanding of its etiology and complex pathogenesis remains incomplete, posing substantial challenges to diagnosing, treating, and preventing the progression of fibrosis. Among the various molecular players involved, platelet-derived growth factor-C (PDGF-C) has emerged as a crucial factor in fibrotic diseases, contributing to the pathological transformation of tissues in several key organs. PDGF-C is a member of the PDGFs family of growth factors and is synthesized and secreted by various cell types, including fibroblasts, smooth muscle cells, and endothelial cells. It acts through both autocrine and paracrine mechanisms, exerting its biological effects by binding to and activating the PDGF receptors (PDGFRs), specifically PDGFRα and PDGFRβ. This binding triggers multiple intracellular signaling pathways, such as JAK/STAT, PI3K/AKT and Ras-MAPK pathways. which are integral to the regulation of cell proliferation, survival, migration, and fibrosis. Notably, PDGF-C has been shown to promote the proliferation and migration of fibroblasts, key effector cells in the fibrotic process, thus accelerating the accumulation of extracellular matrix components and the formation of fibrotic tissue. Numerous studies have documented an upregulation of PDGF-C expression in various fibrotic diseases, suggesting its significant role in the initiation and progression of fibrosis. For instance, in liver fibrosis, PDGF-C stimulates hepatic stellate cell activation, contributing to the excessive deposition of collagen and other extracellular matrix proteins. Similarly, in pulmonary fibrosis, PDGF-C enhances the migration of fibroblasts into the damaged areas of lungs, thereby worsening the pathological process. Such findings highlight the pivotal role of PDGF-C in fibrotic diseases and underscore its potential as a therapeutic target for these conditions. Given its central role in the pathogenesis of fibrosis, PDGF-C has become an attractive target for therapeutic intervention. Several studies have focused on developing inhibitors that block the PDGF-C/PDGFR signaling pathway. These inhibitors aim to reduce fibroblast activation, prevent the excessive accumulation of extracellular matrix components, and halt the progression of fibrosis. Preclinical studies have demonstrated the efficacy of such inhibitors in animal models of liver, kidney, and lung fibrosis, with promising results in reducing fibrotic lesions and improving organ function. Furthermore, several clinical inhibitors, such as Olaratumab and Seralutinib, are ongoing to assess the safety and efficacy of these inhibitors in human patients, offering hope for novel therapeutic options in the treatment of fibrotic diseases. In conclusion, PDGF-C plays a critical role in the development and progression of fibrosis in vital organs. Its ability to regulate fibroblast activity and influence key signaling pathways makes it a promising target for therapeutic strategies aiming at combating fibrosis. Ongoing research into the regulation of PDGF-C expression and the development of PDGF-C/PDGFR inhibitors holds the potential to offer new insights and approaches for the diagnosis, treatment, and prevention of fibrotic diseases. Ultimately, these efforts may lead to the development of more effective and targeted therapies that can mitigate the impact of fibrosis and improve patient outcomes.
3.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
4.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
5.Effects of Astragaloside Ⅳ on cardiac hypertrophy in rats with chronic heart failure based on PI3K/Akt/GSK3β signaling pathway
Lin-Yan WANG ; Chao LI ; Ming-Yi MA ; Xiao-Sheng SHENG
The Chinese Journal of Clinical Pharmacology 2024;40(1):57-61
Objective To investigate the effects of astragaloside Ⅳ on cardiac hypertrophy in chronic heart failure(CHF)rats,and the regulation of phosphoinositol-3-kinase/protein kinase B/glycogen synthase kinase 3 β(PI3K/Akt/GSK3β)signaling pathway.Methods CHF rat model was established by anterior descending coronary artery ligation,and randomly divided into model group,control group and experimental-L,-M,-H groups,with 8 rats in each group.Another 8 rats were hooked up without ligature as blank group.The experimental-L,-M,-H groups were given 20,40 and 80 mg·mL-1 astragaloside solution according to the dose of 5 mL·kg-1.The control group was given 1.50 mg·kg-1 lisinopril solution at a dose of 5 mL·kg-1.Both blank group and model group were given equal volume of 0.9%NaCl.Six groups of rats were given the drug once a day for 8 weeks by intragastric administration.The cardiac function of rats was measured by echocardiography,the cross-sectional area of cardiomyocytes was observed by wheat embryo lectin staining,and the expression levels of PI3K,Akt and GSK3β were detected by Western blot.Results The left ventricular ejection fraction of experimental-H,control,model and blank groups were(66.27±5.18)%,(67.75±4.98)%,(46.67±3.68)%and(81.65±6.46)%;left ventricular end-diastolic diameter was(0.53±0.05),(0.55±0.05),(0.45±0.02)and(0.57±0.05)mm;the cross-sectional areas of cardiomyocytes were(1.97±0.13),(1.61±0.18),(3.56±0.59)and(1.00±0.04)mm;the relative expression levels of phosphorylated PI3K protein were 0.45±0.04,0.71±0.07,0.11±0.02 and 0.85±0.06;the relative expression levels of phosphorylated Akt protein were 0.43±0.05,0.75±0.06,0.10±0.03 and 0.82±0.06;the relative expression levels of phosphorylated GSK3 β protein were 0.47±0.04,0.85±0.05,0.12±0.04 and 0.89±0.08,respectively.The above indexes of experimental-H group and control group were significantly different from those of model group(all P<0.05).Conclusion Astragaloside Ⅳ can improve cardiac dysfunction and inhibit myocardial hypertrophy in CHF rats,which may be related to the regulation of PI3 K/Akt/GSK3 β signaling pathway.
6.Clinical trial of propofol and remazolam in patients of painless fiberoptic bronchoscopic biopsy
Zhi-Hua HUANG ; Yan-Fang WANG ; Chao-Sheng QIN ; Yi-Hong JIANG
The Chinese Journal of Clinical Pharmacology 2024;40(12):1699-1703
Objective To observe clinical outcomes of propofol and remazolam in patients undergoing elective painless fiberoptic bronchoscopic biopsy.Methods Patients who underwent painless fibreoptic bronchoscopic biopsy in our hospital from March 2022 to April 2023 were selected for the study and divided into 2 groups using simple randomisation method.In the control group,anaesthesia was induced with 1 mg·kg-1 propofol,3 μg·kg-1 fentanyl,0.1 mg·kg-1 cis-atracurium,and anaesthesia was maintained with 4-6 mg·kg-1·h-1 propofol.In the treatment group,anaesthesia was induced with 0.2 mg·kg-1 remazolam,3 μg·kg-1 fentanyl,0.1 mg·kg-1 cis-atracurium,and anaesthesia was maintained with 0.2-0.4 mg·kg-1·h-1 remazolam.We compared the awakening time,laryngeal mask removal time,microscopy time,and the proportion of additional anaesthetics in the 2 groups,and detected the levels of S100β,neuron-specific enolase(NSE),interleukin-6(IL-6),tumour necrosis factor-alpha(TNF-α)in the 2 groups preoperatively and at 24 h postoperatively,and statistically counted the occurrences of adverse reactions in the 2 groups.Results The time for pulling out the laryngeal mask in the treatment group was significantly lower than that in the control group,while the time for microscopy,time for awakening,and proportion of additional anaesthesia drugs were not statistically significant when compared with that in the control group(all P>0.05).The overall anaesthesia effect grading of the test group was not statistically significant when compared with the control group(P>0.05).S100β were(0.66±0.17)and(0.78±0.21)μg·L-1;NSE were(8.47±1.78)and(11.47±2.06)μg·L-1;IL-6 were(8.64±1.21)and(12.89±1.47)pg·mL-1;TNF-α were(6.27±1.07)and(9.13±1.41)pg·mL-1,respectively,which were higher than that of preoperative period,and the treatment group was lower than that of the control group at 24 h postoperatively,and the difference was statistically significant(all P<0.05).The incidence of adverse drug reactions in the treatment group and the control group were 13.75%and 22.50%,respectively,and the difference was not statistically significant(P>0.05).Conclusion The use of remazolam in painless fiberoptic bronchoscopic biopsy is less neurologically damaging,stabilizes hemodynamics.
7.Inferring Mycobacterium Tuberculosis Drug Resistance and Transmission using Whole-genome Sequencing in a High TB-burden Setting in China
Feng Yu FAN ; Xin Dong LIU ; Wang Yi CHEN ; Chao Xi OU ; Zhi Qi MAO ; Ting Ting YANG ; Jiang Xi WANG ; Cong Wen HE ; Bing ZHAO ; Jiang Zhen LIU ; Maiweilanjiang ABULIMITI ; Maimaitiaili AIHEMUTI ; Qian GAO ; Lin Yan ZHAO
Biomedical and Environmental Sciences 2024;37(2):157-169
Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023-1.954;P = 0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.
8.Advances in the treatment of KPC-producing Klebsiella pneumoniae infec-tion
Yan-Qiu MA ; Zhen-Chao WU ; Yi-Peng DU ; Ning SHEN
Chinese Journal of Infection Control 2024;23(2):250-256
In recent years,the isolation rate of carbapenem-resistant Klebsiella pneunoniae(CRKP)in China has increased year by year.Due to its multidrug resistance and high mortality in patients,CRKP brings severe challen-ges to the clinical treatment.The major mechanism of drug resistance in CRKP is the production of carbapenemases,with Ambler A,B,and D being the common types while Ambler type C comparativly rare.Klebsiella pneumoniae carbapenemase(KPC)is the most common carbapenemase,which belongs to type A.KPC-producing Klebsiella pneumoniae(KPC-KP)widely spreads in the world,with very limited number of effective clinical drugs.In this re-view,advances in the treatment KPC-KP were summarized to provide reference for clinical treatment.
9.Efficacy and safety of recombinant human anti-SARS-CoV-2 monoclonal antibody injection(F61 injection)in the treatment of patients with COVID-19 combined with renal damage:a randomized controlled exploratory clinical study
Ding-Hua CHEN ; Chao-Fan LI ; Yue NIU ; Li ZHANG ; Yong WANG ; Zhe FENG ; Han-Yu ZHU ; Jian-Hui ZHOU ; Zhe-Yi DONG ; Shu-Wei DUAN ; Hong WANG ; Meng-Jie HUANG ; Yuan-Da WANG ; Shuo-Yuan CONG ; Sai PAN ; Jing ZHOU ; Xue-Feng SUN ; Guang-Yan CAI ; Ping LI ; Xiang-Mei CHEN
Chinese Journal of Infection Control 2024;23(3):257-264
Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P<0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P>0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P>0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.
10.Data-independent Acquisition-Based Quantitative Proteomic Analysis Reveals Potential Salivary Biomarkers of Primary Sj?gren's Syndrome
Tian YI-CHAO ; Guo CHUN-LAN ; Li ZHEN ; You XIN ; Liu XIAO-YAN ; Su JIN-MEI ; Zhao SI-JIA ; Mu YUE ; Sun WEI ; Li QIAN
Chinese Medical Sciences Journal 2024;39(1):19-28,中插3
Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

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