Differentiation of oligodendrocyte progenitor cells into mature myelin-forming oligodendrocytes contributes to remyelination.Failure of remyelination due to oligodendrocyte progenitor cell death can result in severe n...Differentiation of oligodendrocyte progenitor cells into mature myelin-forming oligodendrocytes contributes to remyelination.Failure of remyelination due to oligodendrocyte progenitor cell death can result in severe nerve damage.Ferroptosis is an iron-dependent form of regulated cell death caused by membrane rupture induced by lipid peroxidation,and plays an important role in the pathological process of ischemic stroke.However,there are few studies on oligodendrocyte progenitor cell ferroptosis.We analyzed transcriptome sequencing data from GEO databases and identified a role of ferroptosis in oligodendrocyte progenitor cell death and myelin injury after cerebral ischemia.Bioinformatics analysis suggested that perilipin-2(PLIN2)was involved in oligodendrocyte progenitor cell ferroptosis.PLIN2 is a lipid storage protein and a marker of hypoxia-sensitive lipid droplet accumulation.For further investigation,we established a mouse model of cerebral ischemia/reperfusion.We found significant myelin damage after cerebral ischemia,as well as oligodendrocyte progenitor cell death and increased lipid peroxidation levels around the infarct area.The ferroptosis inhibitor,ferrostatin-1,rescued oligodendrocyte progenitor cell death and subsequent myelin injury.We also found increased PLIN2 levels in the peri-infarct area that co-localized with oligodendrocyte progenitor cells.Plin2 knockdown rescued demyelination and improved neurological deficits.Our findings suggest that targeting PLIN2 to regulate oligodendrocyte progenitor cell ferroptosis may be a potential therapeutic strategy for rescuing myelin damage after cerebral ischemia.展开更多
The estimation of pain intensity is critical for medical diagnosis and treatment of patients.With the development of image monitoring technology and artificial intelligence,automatic pain assessment based on facial ex...The estimation of pain intensity is critical for medical diagnosis and treatment of patients.With the development of image monitoring technology and artificial intelligence,automatic pain assessment based on facial expression and behavioral analysis shows a potential value in clinical applications.This paper reports a framework of convolutional neural network with global and local attention mechanism(GLA-CNN)for the effective detection of pain intensity at four-level thresholds using facial expression images.GLA-CNN includes two modules,namely global attention network(GANet)and local attention network(LANet).LANet is responsible for extracting representative local patch features of faces,while GANet extracts whole facial features to compensate for the ignored correlative features between patches.In the end,the global correlational and local subtle features are fused for the final estimation of pain intensity.Experiments under the UNBC-McMaster Shoulder Pain database demonstrate that GLA-CNN outperforms other state-of-the-art methods.Additionally,a visualization analysis is conducted to present the feature map of GLA-CNN,intuitively showing that it can extract not only local pain features but also global correlative facial ones.Our study demonstrates that pain assessment based on facial expression is a non-invasive and feasible method,and can be employed as an auxiliary pain assessment tool in clinical practice.展开更多
BACKGROUND In contrast to many Western countries,China has maintained its large psychiatric hospitals.The prevalence and clinical characteristics of coronavirus disease 2019(COVID-19)in inpatients with schizophrenia(S...BACKGROUND In contrast to many Western countries,China has maintained its large psychiatric hospitals.The prevalence and clinical characteristics of coronavirus disease 2019(COVID-19)in inpatients with schizophrenia(SCZ)are unclear.AIM To assess the prevalence of COVID-19 among inpatients with SCZ and compare the infected to uninfected SCZ patients in a Wuhan psychiatric hospital.METHODS We retrospectively collected demographic characteristics and clinical profiles of all SCZ patients with COVID-19 at Wuhan’s Youfu Hospital.RESULTS Among the 504 SCZ patients,84 had COVID-19,and we randomly sampled 174 who were uninfected as a comparison group.The overall prevalence of COVID-19 in SCZ patients was 16.7%.Among the 84 SCZ patients with confirmed COVID-19,the median age was 54 years and 76.2%were male.The most common symptom was fever(82%),and less common symptoms were cough(31%),poor appetite(20%),and fatigue(16%).Compared with SCZ patients without COVID-19,those with COVID-19 were older(P=0.006)and significantly lighter(P=0.002),and had more comorbid physical diseases(P=0.001).Surprisingly,those infected were less likely to be smokers(<0.001)or to be treated with dozapine(P=0.03).Further logistic regression showed that smoking[odds ratio(OR)=5.61],clozapine treated(OR=2.95),and male(OR=3.48)patients with relatively fewer comorbid physical diseases(OR=0.098)were at a lower risk for COVID-19.SCZ patients with COVID-19 presented primarily with fever,but only one-third had a cough,which might otherwise be the most common mode of transmission between individuals.CONCLUSION Two unexpected protective factors for COVID-19 among SCZ inpatients are smoking and dozapine treatment.展开更多
基金supported by the National Natural Science Foundation of China,Nos.82071307(to HL),82271362(to HL),82171294(to JW),82371303(to JW),and 82301460(to PX)the Natural Science Foundation of Jiangsu Province,No.BK20211552(to HL)+1 种基金Suzhou Medical Technology Innovation Project-Clinical Frontier,No.SKY2022002(to ZY)the Science and Education Foundation for Health of Suzhou for Youth,No.KJXW2023001(to XL)。
文摘Differentiation of oligodendrocyte progenitor cells into mature myelin-forming oligodendrocytes contributes to remyelination.Failure of remyelination due to oligodendrocyte progenitor cell death can result in severe nerve damage.Ferroptosis is an iron-dependent form of regulated cell death caused by membrane rupture induced by lipid peroxidation,and plays an important role in the pathological process of ischemic stroke.However,there are few studies on oligodendrocyte progenitor cell ferroptosis.We analyzed transcriptome sequencing data from GEO databases and identified a role of ferroptosis in oligodendrocyte progenitor cell death and myelin injury after cerebral ischemia.Bioinformatics analysis suggested that perilipin-2(PLIN2)was involved in oligodendrocyte progenitor cell ferroptosis.PLIN2 is a lipid storage protein and a marker of hypoxia-sensitive lipid droplet accumulation.For further investigation,we established a mouse model of cerebral ischemia/reperfusion.We found significant myelin damage after cerebral ischemia,as well as oligodendrocyte progenitor cell death and increased lipid peroxidation levels around the infarct area.The ferroptosis inhibitor,ferrostatin-1,rescued oligodendrocyte progenitor cell death and subsequent myelin injury.We also found increased PLIN2 levels in the peri-infarct area that co-localized with oligodendrocyte progenitor cells.Plin2 knockdown rescued demyelination and improved neurological deficits.Our findings suggest that targeting PLIN2 to regulate oligodendrocyte progenitor cell ferroptosis may be a potential therapeutic strategy for rescuing myelin damage after cerebral ischemia.
基金supported by the National Natural Science Foundation of China under Grant No.62276051the Natural Science Foundation of Sichuan Province under Grant No.2023NSFSC0640Medical Industry Information Integration Collaborative Innovation Project of Yangtze Delta Region Institute under Grant No.U0723002。
文摘The estimation of pain intensity is critical for medical diagnosis and treatment of patients.With the development of image monitoring technology and artificial intelligence,automatic pain assessment based on facial expression and behavioral analysis shows a potential value in clinical applications.This paper reports a framework of convolutional neural network with global and local attention mechanism(GLA-CNN)for the effective detection of pain intensity at four-level thresholds using facial expression images.GLA-CNN includes two modules,namely global attention network(GANet)and local attention network(LANet).LANet is responsible for extracting representative local patch features of faces,while GANet extracts whole facial features to compensate for the ignored correlative features between patches.In the end,the global correlational and local subtle features are fused for the final estimation of pain intensity.Experiments under the UNBC-McMaster Shoulder Pain database demonstrate that GLA-CNN outperforms other state-of-the-art methods.Additionally,a visualization analysis is conducted to present the feature map of GLA-CNN,intuitively showing that it can extract not only local pain features but also global correlative facial ones.Our study demonstrates that pain assessment based on facial expression is a non-invasive and feasible method,and can be employed as an auxiliary pain assessment tool in clinical practice.
文摘BACKGROUND In contrast to many Western countries,China has maintained its large psychiatric hospitals.The prevalence and clinical characteristics of coronavirus disease 2019(COVID-19)in inpatients with schizophrenia(SCZ)are unclear.AIM To assess the prevalence of COVID-19 among inpatients with SCZ and compare the infected to uninfected SCZ patients in a Wuhan psychiatric hospital.METHODS We retrospectively collected demographic characteristics and clinical profiles of all SCZ patients with COVID-19 at Wuhan’s Youfu Hospital.RESULTS Among the 504 SCZ patients,84 had COVID-19,and we randomly sampled 174 who were uninfected as a comparison group.The overall prevalence of COVID-19 in SCZ patients was 16.7%.Among the 84 SCZ patients with confirmed COVID-19,the median age was 54 years and 76.2%were male.The most common symptom was fever(82%),and less common symptoms were cough(31%),poor appetite(20%),and fatigue(16%).Compared with SCZ patients without COVID-19,those with COVID-19 were older(P=0.006)and significantly lighter(P=0.002),and had more comorbid physical diseases(P=0.001).Surprisingly,those infected were less likely to be smokers(<0.001)or to be treated with dozapine(P=0.03).Further logistic regression showed that smoking[odds ratio(OR)=5.61],clozapine treated(OR=2.95),and male(OR=3.48)patients with relatively fewer comorbid physical diseases(OR=0.098)were at a lower risk for COVID-19.SCZ patients with COVID-19 presented primarily with fever,but only one-third had a cough,which might otherwise be the most common mode of transmission between individuals.CONCLUSION Two unexpected protective factors for COVID-19 among SCZ inpatients are smoking and dozapine treatment.
