Pub Date : 2025-06-19DOI: 10.1016/j.slast.2025.100321
Bing Yuan , Chunyan He , Weidong Lai
<div><h3>Objective</h3><div>this article aims to compare the postoperative clinical effects and analysis of using patient’s autologous blood extracted CGF (concentrated growth factors) blood concentration factor to fill the extraction wound of supernumerary teeth (ST) in patients with maxillary palatal type III high buried supernumerary teeth.</div></div><div><h3>Methods</h3><div>108 patients (a total of 173 supernumerary teeth) with maxillary palatal bone buried supernumerary teeth who visited the Department of Stomatology at Handan Stomatological Hospital from September 2022 to September 2024 were selected as the study subjects. Preoperative images were taken for curved surface tomography and CBCT (Cone Beam Computed Tomography) diagnosis. By analyzing the sample population for clinical classification, 60 patients (a total of 94 supernumerary teeth) who met the inclusion criteria were randomly divided into two groups and underwent minimally invasive surgery under general anesthesia to remove supernumerary teeth. The experimental group used autologous blood to extract CGF blood concentration factor through a blood centrifuge to fill the extraction socket wound, while the control group did not use it. The postoperative infection, pain level, swelling degree, wound healing after suture removal were observed in both groups of patients, as well as the comparison of alveolar bone recovery and bone density changes between CBCT taken after surgery and follow-up 3 months later.</div></div><div><h3>Results</h3><div>infection situation: after the extraction of type III high buried supernumerary teeth on the maxillary palatal side, there were no cases of infection in the experimental group and the control group after surgery, and there was no statistically significant difference (<em>P</em> > 0.05). Postoperative pain level: after the extraction of type III buried supernumerary teeth on the maxillary palatal side, the pain level in the control group was higher than that in the experimental group on days 1, 2, and 3 after surgery (<em>P</em> < 0.05), while there was no statistically significant difference in pain level between the two groups on days 5 and 7 after surgery (<em>P</em> > 0.05). Degree of postoperative swelling: on postoperative days 1, 2 and 3, the degree of swelling in the control group was significantly higher than that of the experimental group (<em>P</em> < 0.05), but on postoperative days 5 and 7, the degree of swelling in the two groups was comparable, with no significant difference (<em>P</em> > 0.05). Wound healing: when the stitches were removed on the 7th postoperative day, all the wounds in the experimental group reached II-A healing; 2 cases in the control group were II-B, and the rest were II-A. The healing situation of the experimental group was better, but the statistical difference was not significant (<em>P</em> > 0.05). Maxillary alveolar bone recovery and bone density change value: immediate postoperative C
{"title":"Clinical effect of CGF blood concentration factor in extracting supernumerary teeth in the middle and high positions of the upper palate","authors":"Bing Yuan , Chunyan He , Weidong Lai","doi":"10.1016/j.slast.2025.100321","DOIUrl":"10.1016/j.slast.2025.100321","url":null,"abstract":"<div><h3>Objective</h3><div>this article aims to compare the postoperative clinical effects and analysis of using patient’s autologous blood extracted CGF (concentrated growth factors) blood concentration factor to fill the extraction wound of supernumerary teeth (ST) in patients with maxillary palatal type III high buried supernumerary teeth.</div></div><div><h3>Methods</h3><div>108 patients (a total of 173 supernumerary teeth) with maxillary palatal bone buried supernumerary teeth who visited the Department of Stomatology at Handan Stomatological Hospital from September 2022 to September 2024 were selected as the study subjects. Preoperative images were taken for curved surface tomography and CBCT (Cone Beam Computed Tomography) diagnosis. By analyzing the sample population for clinical classification, 60 patients (a total of 94 supernumerary teeth) who met the inclusion criteria were randomly divided into two groups and underwent minimally invasive surgery under general anesthesia to remove supernumerary teeth. The experimental group used autologous blood to extract CGF blood concentration factor through a blood centrifuge to fill the extraction socket wound, while the control group did not use it. The postoperative infection, pain level, swelling degree, wound healing after suture removal were observed in both groups of patients, as well as the comparison of alveolar bone recovery and bone density changes between CBCT taken after surgery and follow-up 3 months later.</div></div><div><h3>Results</h3><div>infection situation: after the extraction of type III high buried supernumerary teeth on the maxillary palatal side, there were no cases of infection in the experimental group and the control group after surgery, and there was no statistically significant difference (<em>P</em> > 0.05). Postoperative pain level: after the extraction of type III buried supernumerary teeth on the maxillary palatal side, the pain level in the control group was higher than that in the experimental group on days 1, 2, and 3 after surgery (<em>P</em> < 0.05), while there was no statistically significant difference in pain level between the two groups on days 5 and 7 after surgery (<em>P</em> > 0.05). Degree of postoperative swelling: on postoperative days 1, 2 and 3, the degree of swelling in the control group was significantly higher than that of the experimental group (<em>P</em> < 0.05), but on postoperative days 5 and 7, the degree of swelling in the two groups was comparable, with no significant difference (<em>P</em> > 0.05). Wound healing: when the stitches were removed on the 7th postoperative day, all the wounds in the experimental group reached II-A healing; 2 cases in the control group were II-B, and the rest were II-A. The healing situation of the experimental group was better, but the statistical difference was not significant (<em>P</em> > 0.05). Maxillary alveolar bone recovery and bone density change value: immediate postoperative C","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100321"},"PeriodicalIF":2.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-19DOI: 10.1016/j.slast.2025.100317
Yuan Zhang , Hongshan Chu , Qi Qiao , Shibo Dong , Jing Liu , Hebo Wang
Objective
This study aims to assess the effectiveness of quantitative electroencephalography (qEEG) in determining the prognosis of acute ischemic stroke, thus offering a scientific foundation for early prognostic evaluation.
Methods
One hundred sixty-seven patients with acute ischemic stroke were admitted to the Neurology Department of Hebei Provincial People's Hospital between May 2022 and October 2023. All patients received standard treatments, including antiplatelet aggregation and lipid-lowering therapy to stabilize plaques. EEG data, mRS scores after three months, NIHSS scores before treatment, and basic patient information were all documented. Patients with a poor prognosis (mRS > 3) and those with a good prognosis (mRS < 3) were separated into two groups. The impact of EEG parameters on stroke prognosis was assessed. These indices included relative Alpha power (RAP), relative beta power (RBP), relative Theta power (RTP), relative Delta power (RDP), (δ+θ)/(α+β) value (DTABR), δ/θ value (DTR), α/β value (ABR), δ/α value (DAR), and α/(θ+δ) value (ATDR).
Results
RAP, RTP, RDP, DTABR, DTR, ABR, DAR, and ATDR were significantly correlated with mRS scores after three months. Univariate logistic regression analysis of the groups with good and poor prognoses revealed that NIHSS scores and EEG parameters, including α %, θ %, δ %, DTABR, ABR, DAR, and ATDR, were associated with functional outcomes. Following adjustment for NIHSS scores, multivariate logistic regression identified DTABR and DAR as predictors of functional outcomes. The optimal threshold for DTABR was 0.810, yielding a sensitivity of 0.848 and specificity of 0.864, while the cutoff value for DAR was 0.665, with a sensitivity of 0.759 and specificity of 0.955, as determined by ROC curve analysis assessing the sensitivity and specificity of DTABR and DAR in forecasting poor prognosis.
Conclusion
This study confirmed that NIHSS scores are reliable indicators of stroke severity for prognosis prediction. After accounting for NIHSS scores, it was further established that EEG indices could predict functional outcomes three months post-acute ischemic stroke, with DTABR and DAR demonstrating high sensitivity and specificity.
{"title":"Prospective analysis of quantitative EEG indices for predicting functional outcomes in acute ischemic stroke","authors":"Yuan Zhang , Hongshan Chu , Qi Qiao , Shibo Dong , Jing Liu , Hebo Wang","doi":"10.1016/j.slast.2025.100317","DOIUrl":"10.1016/j.slast.2025.100317","url":null,"abstract":"<div><h3>Objective</h3><div>This study aims to assess the effectiveness of quantitative electroencephalography (qEEG) in determining the prognosis of acute ischemic stroke, thus offering a scientific foundation for early prognostic evaluation.</div></div><div><h3>Methods</h3><div>One hundred sixty-seven patients with acute ischemic stroke were admitted to the Neurology Department of Hebei Provincial People's Hospital between May 2022 and October 2023. All patients received standard treatments, including antiplatelet aggregation and lipid-lowering therapy to stabilize plaques. EEG data, mRS scores after three months, NIHSS scores before treatment, and basic patient information were all documented. Patients with a poor prognosis (mRS > 3) and those with a good prognosis (mRS < 3) were separated into two groups. The impact of EEG parameters on stroke prognosis was assessed. These indices included relative Alpha power (RAP), relative beta power (RBP), relative Theta power (RTP), relative Delta power (RDP), (δ+θ)/(α+β) value (DTABR), δ/θ value (DTR), α/β value (ABR), δ/α value (DAR), and α/(θ+δ) value (ATDR).</div></div><div><h3>Results</h3><div>RAP, RTP, RDP, DTABR, DTR, ABR, DAR, and ATDR were significantly correlated with mRS scores after three months. Univariate logistic regression analysis of the groups with good and poor prognoses revealed that NIHSS scores and EEG parameters, including α %, θ %, δ %, DTABR, ABR, DAR, and ATDR, were associated with functional outcomes. Following adjustment for NIHSS scores, multivariate logistic regression identified DTABR and DAR as predictors of functional outcomes. The optimal threshold for DTABR was 0.810, yielding a sensitivity of 0.848 and specificity of 0.864, while the cutoff value for DAR was 0.665, with a sensitivity of 0.759 and specificity of 0.955, as determined by ROC curve analysis assessing the sensitivity and specificity of DTABR and DAR in forecasting poor prognosis.</div></div><div><h3>Conclusion</h3><div>This study confirmed that NIHSS scores are reliable indicators of stroke severity for prognosis prediction. After accounting for NIHSS scores, it was further established that EEG indices could predict functional outcomes three months post-acute ischemic stroke, with DTABR and DAR demonstrating high sensitivity and specificity.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100317"},"PeriodicalIF":2.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-19DOI: 10.1016/j.slast.2025.100322
Qian Wu , Jiabo Cui , Yao Jiang , Xiaoxin Li , Chongge You
Objective
Endothelial dysfunction is implicated in the pathogenesis of ischemic stroke (IS), but its causal role remains unclear. This study systematically investigates the causal relationship between endothelial dysfunction proteins and IS and its subtypes through integrated observational and genetic evidence.
Methods
A two-stage study was conducted combining systematic meta-analysis and Mendelian randomization (MR). The meta-analysis integrated data from 29 observational studies to assess associations between endothelial dysfunction proteins (vWF, sE-selectin, sP-selectin, ICAM-1, VCAM-1, sLOX-1, VEGF, ET-1, SDF-1) and IS. This meta-analysis was registered online (PROSPERO ID: CRD42023461783). Subsequent MR was applied to discern the causal effects of the endothelial dysfunction proteins on IS and its subtypes, utilizing genetically instrumental variants.
Results
A meta-analysis demonstrated significant correlations with IS for vWF, sE-selectin, ICAM-1, sP-selectin, sLOX-1, and VEGF (all p < 0.05). Furthermore, MR analysis showed that genetically elevated vWF increased the risk for any IS and cardioembolic stroke (CES), while E-selectin was causally linked to large-artery atherosclerosis stroke (LAS).
Conclusion
This work offers causal evidence that endothelial dysfunction significantly contributes to IS, highlighting the thrombotic activity of vWF in CES and the inflammatory function of E-selectin in LAS. These findings not only offer valuable insights into the mechanisms underlying IS and its subtypes but also help inform personalized stroke prevention strategies.
{"title":"Causal role of endothelial dysfunction in ischemic stroke and its subtypes: A two-stage analysis","authors":"Qian Wu , Jiabo Cui , Yao Jiang , Xiaoxin Li , Chongge You","doi":"10.1016/j.slast.2025.100322","DOIUrl":"10.1016/j.slast.2025.100322","url":null,"abstract":"<div><h3>Objective</h3><div>Endothelial dysfunction is implicated in the pathogenesis of ischemic stroke (IS), but its causal role remains unclear. This study systematically investigates the causal relationship between endothelial dysfunction proteins and IS and its subtypes through integrated observational and genetic evidence.</div></div><div><h3>Methods</h3><div>A two-stage study was conducted combining systematic meta-analysis and Mendelian randomization (MR). The meta-analysis integrated data from 29 observational studies to assess associations between endothelial dysfunction proteins (vWF, sE-selectin, sP-selectin, ICAM-1, VCAM-1, sLOX-1, VEGF, ET-1, SDF-1) and IS. This meta-analysis was registered online (PROSPERO ID: CRD42023461783). Subsequent MR was applied to discern the causal effects of the endothelial dysfunction proteins on IS and its subtypes, utilizing genetically instrumental variants.</div></div><div><h3>Results</h3><div>A meta-analysis demonstrated significant correlations with IS for vWF, sE-selectin, ICAM-1, sP-selectin, sLOX-1, and VEGF (all <em>p</em> < 0.05). Furthermore, MR analysis showed that genetically elevated vWF increased the risk for any IS and cardioembolic stroke (CES), while E-selectin was causally linked to large-artery atherosclerosis stroke (LAS).</div></div><div><h3>Conclusion</h3><div>This work offers causal evidence that endothelial dysfunction significantly contributes to IS, highlighting the thrombotic activity of vWF in CES and the inflammatory function of E-selectin in LAS. These findings not only offer valuable insights into the mechanisms underlying IS and its subtypes but also help inform personalized stroke prevention strategies.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100322"},"PeriodicalIF":2.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-19DOI: 10.1016/j.slast.2025.100320
Shufang Xiao, Meimei Lin
Premature rupture of membranes is one of the more common symptoms of pregnant women before labor, which can lead to an increased rate of preterm birth and a higher mortality rate of the fetus born from it. The current research on premature rupture of membranes (PROM) is mainly based on multivariate regression analysis, and variables are selected for multivariate regression analysis after univariate analysis. This method may omit some independent variables, resulting in one-sided analysis results. In this context, this study uses Bayesian method and Logistic regression analysis to construct a new variable analysis model to analyze the clinical characteristics and risk factors of PROM infection. First, through Bayesian Logistic regression, the clinical features of PROM infection mainly include fever, increased white blood cells and C-reactive protein, and increased fetal heart rate. The analysis of risk factors showed that pathogen infection, maternal pregnancy number, and scarred uterus were all risk factors for PROM infection. Finally, in order to explain the effect of the analysis model used in this paper, a nonparametric test, AUC value and ROC curve were used to compare the effect of Bayesian Logistic regression and Logistic regression. The results showed that the statistic value of Bayesian logistic regression was 0.177 higher than that of logistic regression, and the AUC value was 0.014 higher. That is, the performance of the Bayesian logistic regression model is better. The method used in the experiment is feasible, and the experimental results are in line with expectations.
{"title":"Clinical characteristics and risk factors of premature rupture of membranes infection in pregnant and lying-in women","authors":"Shufang Xiao, Meimei Lin","doi":"10.1016/j.slast.2025.100320","DOIUrl":"10.1016/j.slast.2025.100320","url":null,"abstract":"<div><div>Premature rupture of membranes is one of the more common symptoms of pregnant women before labor, which can lead to an increased rate of preterm birth and a higher mortality rate of the fetus born from it. The current research on premature rupture of membranes (PROM) is mainly based on multivariate regression analysis, and variables are selected for multivariate regression analysis after univariate analysis. This method may omit some independent variables, resulting in one-sided analysis results. In this context, this study uses Bayesian method and Logistic regression analysis to construct a new variable analysis model to analyze the clinical characteristics and risk factors of PROM infection. First, through Bayesian Logistic regression, the clinical features of PROM infection mainly include fever, increased white blood cells and C-reactive protein, and increased fetal heart rate. The analysis of risk factors showed that pathogen infection, maternal pregnancy number, and scarred uterus were all risk factors for PROM infection. Finally, in order to explain the effect of the analysis model used in this paper, a nonparametric test, AUC value and ROC curve were used to compare the effect of Bayesian Logistic regression and Logistic regression. The results showed that the statistic value of Bayesian logistic regression was 0.177 higher than that of logistic regression, and the AUC value was 0.014 higher. That is, the performance of the Bayesian logistic regression model is better. The method used in the experiment is feasible, and the experimental results are in line with expectations.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100320"},"PeriodicalIF":2.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-19DOI: 10.1016/j.slast.2025.100313
Xiao Li, Min Han
The study aimed to explore the potential mechanism of action of extracellular miRNA-188–3p derived from CAFs in cervical cancer. In this study, CAFs were isolated from patients with cervical cancer, and exosomes were extracted by ultrafast centrifugation method to detect the expression level of miRNA-188–3p in exosomes. Subsequently, the exosomes were co-cultured with cervical cancer cells, and the temperature changes of the cells were monitored by medical thermal image analysis technology to evaluate the metabolic activity of the cells. Western blot and qPCR were used to detect protein and mRNA expression levels related to iron metabolism in order to investigate the role of miRNA-188–3p in iron metabolism of cervical cancer cells. The results showed that the expression level of miRNA-188–3p in exosomes derived from CAFs was significantly higher than that of exosomes derived from normal fibroblasts. Medical thermal image analysis showed that cervical cancer cells treated with miRNA-188–3p showed higher metabolic activity, manifested by increased temperature. The results of cell proliferation test, scratch test and Transwell invasion test all showed that miRNA-188–3p promoted the proliferation, migration and invasion of cervical cancer cells. Further molecular mechanism studies showed that miRNA-188–3p regulates iron homeostasis in cervical cancer cells by targeting genes related to iron metabolism, thereby promoting cell proliferation and invasion.
{"title":"Exosomal miRNA-188–3p derived from cancer-associated fibroblasts promotes ferroptosis in cervical cancer: Medical biothermal image analysis","authors":"Xiao Li, Min Han","doi":"10.1016/j.slast.2025.100313","DOIUrl":"10.1016/j.slast.2025.100313","url":null,"abstract":"<div><div>The study aimed to explore the potential mechanism of action of extracellular miRNA-188–3p derived from CAFs in cervical cancer. In this study, CAFs were isolated from patients with cervical cancer, and exosomes were extracted by ultrafast centrifugation method to detect the expression level of miRNA-188–3p in exosomes. Subsequently, the exosomes were co-cultured with cervical cancer cells, and the temperature changes of the cells were monitored by medical thermal image analysis technology to evaluate the metabolic activity of the cells. Western blot and qPCR were used to detect protein and mRNA expression levels related to iron metabolism in order to investigate the role of miRNA-188–3p in iron metabolism of cervical cancer cells. The results showed that the expression level of miRNA-188–3p in exosomes derived from CAFs was significantly higher than that of exosomes derived from normal fibroblasts. Medical thermal image analysis showed that cervical cancer cells treated with miRNA-188–3p showed higher metabolic activity, manifested by increased temperature. The results of cell proliferation test, scratch test and Transwell invasion test all showed that miRNA-188–3p promoted the proliferation, migration and invasion of cervical cancer cells. Further molecular mechanism studies showed that miRNA-188–3p regulates iron homeostasis in cervical cancer cells by targeting genes related to iron metabolism, thereby promoting cell proliferation and invasion.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100313"},"PeriodicalIF":2.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-19DOI: 10.1016/j.slast.2025.100319
Hongshan Chu , Shibo Dong , Yuan Zhang , Hongyu Hao , Ruisheng Duan , Xing Xing , Nan Yin , Jin An , Ya Gao , Xiangjian Xiao
Background and Purpose
High-resolution magnetic resonance imaging (HR-MRI) is increasingly used to assess intracranial atherosclerosis (ICAS). The risks for anterior circulation stroke (ACS) and posterior circulation stroke (PCS) differ, and understanding the factors influencing these differences is important for better clinical management. This study investigates the impact of clinical risk factors on ICAS features in ACS and PCS using HR-MRI, focusing on arterial remodeling patterns.
Methods
This retrospective, cross-sectional study uses HR-MRI to investigate the differences in plaque characteristics and remodeling patterns between anterior and posterior circulation strokes (ACS and PCS). Consecutive patients with acute ischemic stroke or transient ischemic attack (TIA) who received HR-MRI from January 2021 to August 2022 were enrolled. We compared ACS and PCS cases, analyzed clinical and radiological features, and examined factors associated with arterial remodeling patterns.
Results
Of 208 patients, 123 had ACS, and 85 had PCS. PCS was significantly associated with diabetes (P = 0.036) and positive remodeling (P = 0.01). Differences in HbA1c, fibrinogen levels, and plaque enhancement were observed between ACS and PCS (P < 0.001; P = 0.033; P = 0.03). Multivariable analysis identified smoking (P = 0.048; OR: 1.96, 95 % CI: 1.01–3.81) and uric acid levels (P = 0.022; OR: 0.996, 95 % CI: 0.993–0.999) as independent factors associated with non-positive remodeling.
Conclusions
HR-MRI reveals significant differences in risk factors and plaque characteristics between ACS and PCS, with smoking and uric acid levels associated with non-positive remodeling. These findings highlight the importance of HR-MRI in identifying plaque vulnerability and guiding clinical interventions.
{"title":"Characterizing anterior and posterior circulation strokes using high-resolution magnetic resonance imaging","authors":"Hongshan Chu , Shibo Dong , Yuan Zhang , Hongyu Hao , Ruisheng Duan , Xing Xing , Nan Yin , Jin An , Ya Gao , Xiangjian Xiao","doi":"10.1016/j.slast.2025.100319","DOIUrl":"10.1016/j.slast.2025.100319","url":null,"abstract":"<div><h3>Background and Purpose</h3><div>High-resolution magnetic resonance imaging (HR-MRI) is increasingly used to assess intracranial atherosclerosis (ICAS). The risks for anterior circulation stroke (ACS) and posterior circulation stroke (PCS) differ, and understanding the factors influencing these differences is important for better clinical management. This study investigates the impact of clinical risk factors on ICAS features in ACS and PCS using HR-MRI, focusing on arterial remodeling patterns.</div></div><div><h3>Methods</h3><div>This retrospective, cross-sectional study uses HR-MRI to investigate the differences in plaque characteristics and remodeling patterns between anterior and posterior circulation strokes (ACS and PCS). Consecutive patients with acute ischemic stroke or transient ischemic attack (TIA) who received HR-MRI from January 2021 to August 2022 were enrolled. We compared ACS and PCS cases, analyzed clinical and radiological features, and examined factors associated with arterial remodeling patterns.</div></div><div><h3>Results</h3><div>Of 208 patients, 123 had ACS, and 85 had PCS. PCS was significantly associated with diabetes (<em>P</em> = 0.036) and positive remodeling (<em>P</em> = 0.01). Differences in HbA1c, fibrinogen levels, and plaque enhancement were observed between ACS and PCS (<em>P</em> < 0.001; <em>P</em> = 0.033; <em>P</em> = 0.03). Multivariable analysis identified smoking (<em>P</em> = 0.048; OR: 1.96, 95 % CI: 1.01–3.81) and uric acid levels (<em>P</em> = 0.022; OR: 0.996, 95 % CI: 0.993–0.999) as independent factors associated with non-positive remodeling.</div></div><div><h3>Conclusions</h3><div>HR-MRI reveals significant differences in risk factors and plaque characteristics between ACS and PCS, with smoking and uric acid levels associated with non-positive remodeling. These findings highlight the importance of HR-MRI in identifying plaque vulnerability and guiding clinical interventions.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100319"},"PeriodicalIF":2.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-19DOI: 10.1016/j.slast.2025.100318
Hongxia Liu
Irregular diet, lack of exercise, and poor sleep quality have led to various diseases, with chronic conditions like hyperlipidemia being most common among the elderly. With advances in the medical Internet of Things (MIoT), medical data now supports more effective care strategies. Health management intervention, as a novel approach, aims to improve elderly patients’ understanding and management of chronic diseases. In this study, 200 elderly patients with hyperlipidemia were randomly divided into a control group (routine care) and an experimental group (health management intervention). Results showed that health knowledge mastery improved significantly with intervention—rising from 61.8 % to 74.4 % in males and from 56.8 % to 71.6 % in females. Thus, health management intervention based on medical data effectively enhances patients’ health literacy.
{"title":"Clinical observation and evaluation of health management intervention in controlling senile chronic diseases such as hyperlipidemia","authors":"Hongxia Liu","doi":"10.1016/j.slast.2025.100318","DOIUrl":"10.1016/j.slast.2025.100318","url":null,"abstract":"<div><div>Irregular diet, lack of exercise, and poor sleep quality have led to various diseases, with chronic conditions like hyperlipidemia being most common among the elderly. With advances in the medical Internet of Things (MIoT), medical data now supports more effective care strategies. Health management intervention, as a novel approach, aims to improve elderly patients’ understanding and management of chronic diseases. In this study, 200 elderly patients with hyperlipidemia were randomly divided into a control group (routine care) and an experimental group (health management intervention). Results showed that health knowledge mastery improved significantly with intervention—rising from 61.8 % to 74.4 % in males and from 56.8 % to 71.6 % in females. Thus, health management intervention based on medical data effectively enhances patients’ health literacy.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100318"},"PeriodicalIF":2.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-18DOI: 10.1016/j.slast.2025.100315
Jessica Martinez , Dong Jin M. Park , Samantha Abate , James Hill , George Downey , Craig Galligan , Tyler Hammond , Michael T. McCurdy , Surekha Gurung , Shanjana Shawon , Ralf Lenigk , Kuangwen Hsieh , Michael Super , Erik Kvam , Tza-Huei Wang , Coleman Murray , Chris Puleo
Sample preparation (i.e., isolation and purification of pathogens from samples) remains one of the bottlenecks limiting deployment of diagnostic tests. Two recent examples highlighting these limitations include the difficulties in widespread nucleic acid testing during COVID-19 and in identifying drug-resistant infections. Unmet needs include systems that work with different bodily fluids and samples, multiple types of suspected pathogen, and function in a rapid and semi-automated fashion. Advances such as these could accelerate the deployment of novel diagnostic tests by eliminating upstream sample preparation bottlenecks.
Herein, we tested the feasibility of combining multiple pathogen-binding paramagnetic beads with magnetic ratcheting-based enrichment to directly isolate microbes from samples. We demonstrate effective use of three different paramagnetic bead-conjugated proteins (mannose binding lection [MBL], C-reactive protein [CRP], and dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin [DC-SIGN]) to capture 18 different bacteria species and model virus particles/peptides. We used magnetic ratcheting to isolate bead-bound microbes from milliliters (mLs) of sample at concentrations of 4 – 4000 microbes per mL. The flow-through system was operated up to 1 mL per minute and enabled pathogen isolation from 10 mL samples in <30 min. Demonstration of post-ratcheting PCR-based microbe analysis was also performed, showing that the technology may have applicability across different infectious agents, sample types/volumes, and analytical assays. Based on these results, further studies are warranted to test clinical samples, compare results to current gold-standard diagnostic methods, and test the sample preparation technologies across additional pathogen types.
{"title":"Sample preparation using multiple microbial pattern recognition proteins and magnetic bead ratcheting","authors":"Jessica Martinez , Dong Jin M. Park , Samantha Abate , James Hill , George Downey , Craig Galligan , Tyler Hammond , Michael T. McCurdy , Surekha Gurung , Shanjana Shawon , Ralf Lenigk , Kuangwen Hsieh , Michael Super , Erik Kvam , Tza-Huei Wang , Coleman Murray , Chris Puleo","doi":"10.1016/j.slast.2025.100315","DOIUrl":"10.1016/j.slast.2025.100315","url":null,"abstract":"<div><div>Sample preparation (i.e., isolation and purification of pathogens from samples) remains one of the bottlenecks limiting deployment of diagnostic tests. Two recent examples highlighting these limitations include the difficulties in widespread nucleic acid testing during COVID-19 and in identifying drug-resistant infections. Unmet needs include systems that work with different bodily fluids and samples, multiple types of suspected pathogen, and function in a rapid and semi-automated fashion. Advances such as these could accelerate the deployment of novel diagnostic tests by eliminating upstream sample preparation bottlenecks.</div><div>Herein, we tested the feasibility of combining multiple pathogen-binding paramagnetic beads with magnetic ratcheting-based enrichment to directly isolate microbes from samples. We demonstrate effective use of three different paramagnetic bead-conjugated proteins (mannose binding lection [MBL], C-reactive protein [CRP], and dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin [DC-SIGN]) to capture 18 different bacteria species and model virus particles/peptides. We used magnetic ratcheting to isolate bead-bound microbes from milliliters (mLs) of sample at concentrations of 4 – 4000 microbes per mL. The flow-through system was operated up to 1 mL per minute and enabled pathogen isolation from 10 mL samples in <30 min. Demonstration of post-ratcheting PCR-based microbe analysis was also performed, showing that the technology may have applicability across different infectious agents, sample types/volumes, and analytical assays. Based on these results, further studies are warranted to test clinical samples, compare results to current gold-standard diagnostic methods, and test the sample preparation technologies across additional pathogen types.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100315"},"PeriodicalIF":2.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-18DOI: 10.1016/j.slast.2025.100312
Zheyuan Song , Luyao Zhou , Jiasi Li
Migraine is a kind of common clinical headache. Because its etiology is unknown and the curative effect is not very ideal, recent studies have shown that the activation of trigeminal ganglion has a certain impact on the occurrence of migraine. In this paper, the rat migraine model was established by subcutaneous injection of nitroglycerin. Reverse transcription polymerase chain reaction (RT-PCR) and immunohistochemical techniques were used to observe the changes and correlation of the phosphatase and tensin homolog deleted on chromosome ten (PTEN), protein kinase B (Akt) and cAMP response element binding protein (CREB) expressions in trigeminal ganglia of migraine rats at gene and protein levels, respectively, in order to explore the relationship and role of these three genes in the pathogenesis of migraine. It can be seen from the experimental results that after the treatment of nickel carbohydrazide perchlorate (GTN), the expression level of PTEN mRNA in trigeminal ganglion decreased significantly, and it was the lowest at 12 h of GTN, with a value of 0.21. However, over time, PTEN mRNA expression level has rose to 0.44 after GTN24h, reaching the initial level. According to the calculation, PTEN was significantly negatively correlated with Akt protein expression, and its P value was <0.05. The experiment in this paper first proved that the attack rate of migraine in women was higher than that in men, and then proved the relationship between PTEN, Akt and CREB genes in the trigeminal ganglion of migraine.
{"title":"Expression of PTEN, Akt and CREB genes in trigeminal ganglia of intractable migraine","authors":"Zheyuan Song , Luyao Zhou , Jiasi Li","doi":"10.1016/j.slast.2025.100312","DOIUrl":"10.1016/j.slast.2025.100312","url":null,"abstract":"<div><div>Migraine is a kind of common clinical headache. Because its etiology is unknown and the curative effect is not very ideal, recent studies have shown that the activation of trigeminal ganglion has a certain impact on the occurrence of migraine. In this paper, the rat migraine model was established by subcutaneous injection of nitroglycerin. Reverse transcription polymerase chain reaction (RT-PCR) and immunohistochemical techniques were used to observe the changes and correlation of the phosphatase and tensin homolog deleted on chromosome ten (PTEN), protein kinase B (Akt) and cAMP response element binding protein (CREB) expressions in trigeminal ganglia of migraine rats at gene and protein levels, respectively, in order to explore the relationship and role of these three genes in the pathogenesis of migraine. It can be seen from the experimental results that after the treatment of nickel carbohydrazide perchlorate (GTN), the expression level of PTEN mRNA in trigeminal ganglion decreased significantly, and it was the lowest at 12 h of GTN, with a value of 0.21. However, over time, PTEN mRNA expression level has rose to 0.44 after GTN24h, reaching the initial level. According to the calculation, PTEN was significantly negatively correlated with Akt protein expression, and its P value was <0.05. The experiment in this paper first proved that the attack rate of migraine in women was higher than that in men, and then proved the relationship between PTEN, Akt and CREB genes in the trigeminal ganglion of migraine.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100312"},"PeriodicalIF":2.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-11DOI: 10.1016/j.slast.2025.100307
Ronghai Cheng , Adil Muneer , Maria Hercher , Bekim Bajrami , Reza Nemati
Covalent drug discovery has garnered renewed interest due to its potential to target proteins previously considered "undruggable." Intact protein mass spectrometry (MS) is a critical technique for providing direct evidence of covalent drug modifications to protein targets. However, its application for screening covalent libraries has been hindered by low assay throughput, complex sample preparation, and high protein consumption associated with traditional liquid chromatography-MS (LC-MS) or solid-phase extraction-MS (SPE-MS) platforms. The recent integration of acoustic ejection (AE) with electrospray ionization (ESI) source of high-resolution time-of-flight (TOF) mass spectrometers—specifically, the SCIEX Echo® MS+ with the ZenoTOF 7600—has enabled the direct introduction of intact proteins without desalting at nanoliter volumes from 384 or 1536 well plates into the electrospray ionization (ESI) source of the mass spectrometer, achieving analysis rates of 1–2 seconds per sample. This advancement offers significant potential for covalent library screening and kinetic studies of identified hits due to ultrafast sample introduction and minimal sample consumption. To fully automate this pipeline, the SCIEX Echo® MS+ with ZenoTOF 7600 mass spectrometer was integrated with our internal automation system (HighRes Biosolutions) and the data analysis workflow was automated. Using Bruton’s tyrosine kinase (BTK) as a model, we demonstrated that this integrated pipeline could accelerate covalent drug discovery through covalent library screens, off-target reactivity assessment via GSH reactivity assays, and potency evaluation through kinact/Ki measurements.
{"title":"Acoustic ejection mass spectrometry: An integrated pipeline for ultra-high throughput screening, reactivity profiling, and potency analysis of covalent BTK inhibitors","authors":"Ronghai Cheng , Adil Muneer , Maria Hercher , Bekim Bajrami , Reza Nemati","doi":"10.1016/j.slast.2025.100307","DOIUrl":"10.1016/j.slast.2025.100307","url":null,"abstract":"<div><div>Covalent drug discovery has garnered renewed interest due to its potential to target proteins previously considered \"undruggable.\" Intact protein mass spectrometry (MS) is a critical technique for providing direct evidence of covalent drug modifications to protein targets. However, its application for screening covalent libraries has been hindered by low assay throughput, complex sample preparation, and high protein consumption associated with traditional liquid chromatography-MS (LC-MS) or solid-phase extraction-MS (SPE-MS) platforms. The recent integration of acoustic ejection (AE) with electrospray ionization (ESI) source of high-resolution time-of-flight (TOF) mass spectrometers—specifically, the SCIEX Echo® MS+ with the ZenoTOF 7600—has enabled the direct introduction of intact proteins without desalting at nanoliter volumes from 384 or 1536 well plates into the electrospray ionization (ESI) source of the mass spectrometer, achieving analysis rates of 1–2 seconds per sample. This advancement offers significant potential for covalent library screening and kinetic studies of identified hits due to ultrafast sample introduction and minimal sample consumption. To fully automate this pipeline, the SCIEX Echo® MS+ with ZenoTOF 7600 mass spectrometer was integrated with our internal automation system (HighRes Biosolutions) and the data analysis workflow was automated. Using Bruton’s tyrosine kinase (BTK) as a model, we demonstrated that this integrated pipeline could accelerate covalent drug discovery through covalent library screens, off-target reactivity assessment via GSH reactivity assays, and potency evaluation through k<sub>inact</sub>/K<sub>i</sub> measurements.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"33 ","pages":"Article 100307"},"PeriodicalIF":2.5,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144254755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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