The nod-like receptor family pyrin domain containing 3 (NLRP3) inflammasome plays a crucial role in the prognosis of subarachnoid hemorrhage (SAH). WNK1 kinase negatively regulates NLRP3 in various inflammatory conditions, but its role in early brain injury (EBI) after SAH remains unclear. In this study, we used an in vivo SAH model in rats/mice and AAV-WNK1 intraventricular injection to investigate its neuroprotective mechanisms. WNK1 expression was significantly reduced in SAH patient blood and SAH model brain tissue, correlating negatively with microglial activation. AAV-WNK1 alleviated brain edema, neuronal necrosis, behavioral deficits, and inflammation by inhibiting NLRP3 inflammasome activation. In hemin-stimulated BV-2 cells, WNK1 overexpression reduced NLRP3 activation and inflammatory cytokines. Chloride counteracted WNK1's inhibitory effects, and WNK1 suppressed P2X7R-induced NLRP3 activation. Mechanistically, WNK1 functioned via the OXSR1/STK39 pathway. These findings highlight WNK1 as a key regulator of intracellular chloride balance and neuroinflammation, presenting a potential therapeutic target for SAH treatment.
Animals ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Subarachnoid Hemorrhage/complications* ; Inflammasomes/metabolism* ; Rats ; Mice ; Neuroinflammatory Diseases/metabolism* ; WNK Lysine-Deficient Protein Kinase 1/genetics* ; Male ; Humans ; Chlorides/metabolism* ; Mice, Inbred C57BL ; Rats, Sprague-Dawley ; Brain Injuries/metabolism* ; Microglia/metabolism* ; Protein Serine-Threonine Kinases

Objective:To deeply explore the thematic needs and characteristics of learners regarding course elements based on the review texts of nursing massive open online courses (MOOC), providing a reference for achieving effective alignment between digital nursing education content and learner needs.Methods:Data were collected from the review texts of 112 nursing courses on the Chinese University MOOC platform using a web crawler script written with Python′s Requests library. The collection period spanned from the course launch dates to December 31, 2023. Sentiment analysis and high-frequency words analysis were conducted using Chinese text Nature language processing library, and core themes of learners′ positive and negative reviews were extracted using the latent dirichlet allocation.Results:A corpus of 18 184 nursing MOOC review texts was constructed, with positive sentiment reviews accounting for 89.30% (16 238/18 184) and negative sentiment reviews making up 10.70% (1 946/18 184). Word frequency analysis revealed that most nursing MOOC serve as carriers for blended online and offline teaching models, with students being the primary target audience, though social participants were also involved. The reviews effectively mirrored real-world clinical nursing scenarios. The need of learners was categorized into three major themes: content design and assessment, course resources and teaching strategies, and software applications and platform functionality.Conclusions:This study, leveraging text mining technology, thoroughly investigated the three thematic characteristics of nursing MOOC needs of online learners and proposed targeted optimization recommendations. Future research could incorporate other online teaching platforms and comprehensively construct a sentiment lexicon for nursing online course reviews using big data modeling and machine learning algorithms. These would enable a holistic analysis of the digital nursing education landscape, allowing for precise improvements to address existing shortcomings.

Objective:To deeply explore the thematic needs and characteristics of learners regarding course elements based on the review texts of nursing massive open online courses (MOOC), providing a reference for achieving effective alignment between digital nursing education content and learner needs.Methods:Data were collected from the review texts of 112 nursing courses on the Chinese University MOOC platform using a web crawler script written with Python′s Requests library. The collection period spanned from the course launch dates to December 31, 2023. Sentiment analysis and high-frequency words analysis were conducted using Chinese text Nature language processing library, and core themes of learners′ positive and negative reviews were extracted using the latent dirichlet allocation.Results:A corpus of 18 184 nursing MOOC review texts was constructed, with positive sentiment reviews accounting for 89.30% (16 238/18 184) and negative sentiment reviews making up 10.70% (1 946/18 184). Word frequency analysis revealed that most nursing MOOC serve as carriers for blended online and offline teaching models, with students being the primary target audience, though social participants were also involved. The reviews effectively mirrored real-world clinical nursing scenarios. The need of learners was categorized into three major themes: content design and assessment, course resources and teaching strategies, and software applications and platform functionality.Conclusions:This study, leveraging text mining technology, thoroughly investigated the three thematic characteristics of nursing MOOC needs of online learners and proposed targeted optimization recommendations. Future research could incorporate other online teaching platforms and comprehensively construct a sentiment lexicon for nursing online course reviews using big data modeling and machine learning algorithms. These would enable a holistic analysis of the digital nursing education landscape, allowing for precise improvements to address existing shortcomings.

Objective:To investigate the perinatal outcomes and risk factors of perinatal complications in preg-nant women with hypertrophic cardiomyopathy(HCM).Methods:A retrospective analysis was carried out on clini-cal data of 100 pregnant women with HCM who delivered in Obstetrical Cardiology Intensive Care Center of Shanghai Renji Hospital between Jan.2000 and Dec.2022.Analyze the incidence of perinatal complications inclu-ding miscarriage,premature birth,small for gestational age infants,neonatal asphyxia,neonatal cardiac malforma-tions and perinatal mortality.Independent risk factors of perinatal complications in pregnant women with HCM were identified using univariate and multivariate Logistic regression.Results:①The mean age was 29.21±4.41 years old,the average gestational age upon admission is 34.46±6.43 weeks.There were 16 patients with a fam-ily history of cardiomyopathy(16％),21 cases with obstructive HCM(21％)and 79 cases of non-obstructive HCM(79％),91 cases with abnormal ECG(91％),mainly with ST-T changes(77 cases,77％).The average in-terventricular septum was 19.39±6.13mm by echocardiography.②Among the 100 pregnancies of 100 HCM pa-tients,6 cases(6％)were miscarriages,94 newborns survived(94％),including 91 cases of cesarean section(91％)and 3 cases of vaginal delivery(3％).The predominant perinatal complications were preterm delivery(39 cases,39％),small for gestational age(5 cases,5％),neonatal asphyxia(3 cases,3％)and neonatal cardiac malformation(2 cases,2％).There were no perinatal deaths.③Univariate Logistic regression analysis showed that pre pregnancy heart function ≥ Grade Ⅱ,increased left atrial diameter,and concomitant pulmonary hyperten-sion were risk factors for perinatal complications in pregnant women with HCM(OR＞1,P＜0.05).Multivariate Lo-gistic regression analysis found that pre pregnancy heart function ≥ Grade Ⅱ was an independent risk factor for predicting the occurrence of perinatal complications in pregnant women with HCM(OR 6.270,P＜0.05).Conclu-sions:HCM during pregnancy can induce poor perinatal outcome.More attention should be paid to risk assess-ment and pregnancy management.Early detection of risk factors can reduce the incidence of perinatal complica-tions.

Objective:To investigate the perinatal outcomes and risk factors of perinatal complications in preg-nant women with hypertrophic cardiomyopathy(HCM).Methods:A retrospective analysis was carried out on clini-cal data of 100 pregnant women with HCM who delivered in Obstetrical Cardiology Intensive Care Center of Shanghai Renji Hospital between Jan.2000 and Dec.2022.Analyze the incidence of perinatal complications inclu-ding miscarriage,premature birth,small for gestational age infants,neonatal asphyxia,neonatal cardiac malforma-tions and perinatal mortality.Independent risk factors of perinatal complications in pregnant women with HCM were identified using univariate and multivariate Logistic regression.Results:①The mean age was 29.21±4.41 years old,the average gestational age upon admission is 34.46±6.43 weeks.There were 16 patients with a fam-ily history of cardiomyopathy(16％),21 cases with obstructive HCM(21％)and 79 cases of non-obstructive HCM(79％),91 cases with abnormal ECG(91％),mainly with ST-T changes(77 cases,77％).The average in-terventricular septum was 19.39±6.13mm by echocardiography.②Among the 100 pregnancies of 100 HCM pa-tients,6 cases(6％)were miscarriages,94 newborns survived(94％),including 91 cases of cesarean section(91％)and 3 cases of vaginal delivery(3％).The predominant perinatal complications were preterm delivery(39 cases,39％),small for gestational age(5 cases,5％),neonatal asphyxia(3 cases,3％)and neonatal cardiac malformation(2 cases,2％).There were no perinatal deaths.③Univariate Logistic regression analysis showed that pre pregnancy heart function ≥ Grade Ⅱ,increased left atrial diameter,and concomitant pulmonary hyperten-sion were risk factors for perinatal complications in pregnant women with HCM(OR＞1,P＜0.05).Multivariate Lo-gistic regression analysis found that pre pregnancy heart function ≥ Grade Ⅱ was an independent risk factor for predicting the occurrence of perinatal complications in pregnant women with HCM(OR 6.270,P＜0.05).Conclu-sions:HCM during pregnancy can induce poor perinatal outcome.More attention should be paid to risk assess-ment and pregnancy management.Early detection of risk factors can reduce the incidence of perinatal complica-tions.

Objective:To investigate the perinatal outcomes and risk factors of perinatal complications in preg-nant women with hypertrophic cardiomyopathy(HCM).Methods:A retrospective analysis was carried out on clini-cal data of 100 pregnant women with HCM who delivered in Obstetrical Cardiology Intensive Care Center of Shanghai Renji Hospital between Jan.2000 and Dec.2022.Analyze the incidence of perinatal complications inclu-ding miscarriage,premature birth,small for gestational age infants,neonatal asphyxia,neonatal cardiac malforma-tions and perinatal mortality.Independent risk factors of perinatal complications in pregnant women with HCM were identified using univariate and multivariate Logistic regression.Results:①The mean age was 29.21±4.41 years old,the average gestational age upon admission is 34.46±6.43 weeks.There were 16 patients with a fam-ily history of cardiomyopathy(16％),21 cases with obstructive HCM(21％)and 79 cases of non-obstructive HCM(79％),91 cases with abnormal ECG(91％),mainly with ST-T changes(77 cases,77％).The average in-terventricular septum was 19.39±6.13mm by echocardiography.②Among the 100 pregnancies of 100 HCM pa-tients,6 cases(6％)were miscarriages,94 newborns survived(94％),including 91 cases of cesarean section(91％)and 3 cases of vaginal delivery(3％).The predominant perinatal complications were preterm delivery(39 cases,39％),small for gestational age(5 cases,5％),neonatal asphyxia(3 cases,3％)and neonatal cardiac malformation(2 cases,2％).There were no perinatal deaths.③Univariate Logistic regression analysis showed that pre pregnancy heart function ≥ Grade Ⅱ,increased left atrial diameter,and concomitant pulmonary hyperten-sion were risk factors for perinatal complications in pregnant women with HCM(OR＞1,P＜0.05).Multivariate Lo-gistic regression analysis found that pre pregnancy heart function ≥ Grade Ⅱ was an independent risk factor for predicting the occurrence of perinatal complications in pregnant women with HCM(OR 6.270,P＜0.05).Conclu-sions:HCM during pregnancy can induce poor perinatal outcome.More attention should be paid to risk assess-ment and pregnancy management.Early detection of risk factors can reduce the incidence of perinatal complica-tions.

Objective:To investigate the perinatal outcomes and risk factors of perinatal complications in preg-nant women with hypertrophic cardiomyopathy(HCM).Methods:A retrospective analysis was carried out on clini-cal data of 100 pregnant women with HCM who delivered in Obstetrical Cardiology Intensive Care Center of Shanghai Renji Hospital between Jan.2000 and Dec.2022.Analyze the incidence of perinatal complications inclu-ding miscarriage,premature birth,small for gestational age infants,neonatal asphyxia,neonatal cardiac malforma-tions and perinatal mortality.Independent risk factors of perinatal complications in pregnant women with HCM were identified using univariate and multivariate Logistic regression.Results:①The mean age was 29.21±4.41 years old,the average gestational age upon admission is 34.46±6.43 weeks.There were 16 patients with a fam-ily history of cardiomyopathy(16％),21 cases with obstructive HCM(21％)and 79 cases of non-obstructive HCM(79％),91 cases with abnormal ECG(91％),mainly with ST-T changes(77 cases,77％).The average in-terventricular septum was 19.39±6.13mm by echocardiography.②Among the 100 pregnancies of 100 HCM pa-tients,6 cases(6％)were miscarriages,94 newborns survived(94％),including 91 cases of cesarean section(91％)and 3 cases of vaginal delivery(3％).The predominant perinatal complications were preterm delivery(39 cases,39％),small for gestational age(5 cases,5％),neonatal asphyxia(3 cases,3％)and neonatal cardiac malformation(2 cases,2％).There were no perinatal deaths.③Univariate Logistic regression analysis showed that pre pregnancy heart function ≥ Grade Ⅱ,increased left atrial diameter,and concomitant pulmonary hyperten-sion were risk factors for perinatal complications in pregnant women with HCM(OR＞1,P＜0.05).Multivariate Lo-gistic regression analysis found that pre pregnancy heart function ≥ Grade Ⅱ was an independent risk factor for predicting the occurrence of perinatal complications in pregnant women with HCM(OR 6.270,P＜0.05).Conclu-sions:HCM during pregnancy can induce poor perinatal outcome.More attention should be paid to risk assess-ment and pregnancy management.Early detection of risk factors can reduce the incidence of perinatal complica-tions.

Objective:To investigate the perinatal outcomes and risk factors of perinatal complications in preg-nant women with hypertrophic cardiomyopathy(HCM).Methods:A retrospective analysis was carried out on clini-cal data of 100 pregnant women with HCM who delivered in Obstetrical Cardiology Intensive Care Center of Shanghai Renji Hospital between Jan.2000 and Dec.2022.Analyze the incidence of perinatal complications inclu-ding miscarriage,premature birth,small for gestational age infants,neonatal asphyxia,neonatal cardiac malforma-tions and perinatal mortality.Independent risk factors of perinatal complications in pregnant women with HCM were identified using univariate and multivariate Logistic regression.Results:①The mean age was 29.21±4.41 years old,the average gestational age upon admission is 34.46±6.43 weeks.There were 16 patients with a fam-ily history of cardiomyopathy(16％),21 cases with obstructive HCM(21％)and 79 cases of non-obstructive HCM(79％),91 cases with abnormal ECG(91％),mainly with ST-T changes(77 cases,77％).The average in-terventricular septum was 19.39±6.13mm by echocardiography.②Among the 100 pregnancies of 100 HCM pa-tients,6 cases(6％)were miscarriages,94 newborns survived(94％),including 91 cases of cesarean section(91％)and 3 cases of vaginal delivery(3％).The predominant perinatal complications were preterm delivery(39 cases,39％),small for gestational age(5 cases,5％),neonatal asphyxia(3 cases,3％)and neonatal cardiac malformation(2 cases,2％).There were no perinatal deaths.③Univariate Logistic regression analysis showed that pre pregnancy heart function ≥ Grade Ⅱ,increased left atrial diameter,and concomitant pulmonary hyperten-sion were risk factors for perinatal complications in pregnant women with HCM(OR＞1,P＜0.05).Multivariate Lo-gistic regression analysis found that pre pregnancy heart function ≥ Grade Ⅱ was an independent risk factor for predicting the occurrence of perinatal complications in pregnant women with HCM(OR 6.270,P＜0.05).Conclu-sions:HCM during pregnancy can induce poor perinatal outcome.More attention should be paid to risk assess-ment and pregnancy management.Early detection of risk factors can reduce the incidence of perinatal complica-tions.

Objective:To investigate the perinatal outcomes and risk factors of perinatal complications in preg-nant women with hypertrophic cardiomyopathy(HCM).Methods:A retrospective analysis was carried out on clini-cal data of 100 pregnant women with HCM who delivered in Obstetrical Cardiology Intensive Care Center of Shanghai Renji Hospital between Jan.2000 and Dec.2022.Analyze the incidence of perinatal complications inclu-ding miscarriage,premature birth,small for gestational age infants,neonatal asphyxia,neonatal cardiac malforma-tions and perinatal mortality.Independent risk factors of perinatal complications in pregnant women with HCM were identified using univariate and multivariate Logistic regression.Results:①The mean age was 29.21±4.41 years old,the average gestational age upon admission is 34.46±6.43 weeks.There were 16 patients with a fam-ily history of cardiomyopathy(16％),21 cases with obstructive HCM(21％)and 79 cases of non-obstructive HCM(79％),91 cases with abnormal ECG(91％),mainly with ST-T changes(77 cases,77％).The average in-terventricular septum was 19.39±6.13mm by echocardiography.②Among the 100 pregnancies of 100 HCM pa-tients,6 cases(6％)were miscarriages,94 newborns survived(94％),including 91 cases of cesarean section(91％)and 3 cases of vaginal delivery(3％).The predominant perinatal complications were preterm delivery(39 cases,39％),small for gestational age(5 cases,5％),neonatal asphyxia(3 cases,3％)and neonatal cardiac malformation(2 cases,2％).There were no perinatal deaths.③Univariate Logistic regression analysis showed that pre pregnancy heart function ≥ Grade Ⅱ,increased left atrial diameter,and concomitant pulmonary hyperten-sion were risk factors for perinatal complications in pregnant women with HCM(OR＞1,P＜0.05).Multivariate Lo-gistic regression analysis found that pre pregnancy heart function ≥ Grade Ⅱ was an independent risk factor for predicting the occurrence of perinatal complications in pregnant women with HCM(OR 6.270,P＜0.05).Conclu-sions:HCM during pregnancy can induce poor perinatal outcome.More attention should be paid to risk assess-ment and pregnancy management.Early detection of risk factors can reduce the incidence of perinatal complica-tions.

Objective:To investigate the perinatal outcomes and risk factors of perinatal complications in preg-nant women with hypertrophic cardiomyopathy(HCM).Methods:A retrospective analysis was carried out on clini-cal data of 100 pregnant women with HCM who delivered in Obstetrical Cardiology Intensive Care Center of Shanghai Renji Hospital between Jan.2000 and Dec.2022.Analyze the incidence of perinatal complications inclu-ding miscarriage,premature birth,small for gestational age infants,neonatal asphyxia,neonatal cardiac malforma-tions and perinatal mortality.Independent risk factors of perinatal complications in pregnant women with HCM were identified using univariate and multivariate Logistic regression.Results:①The mean age was 29.21±4.41 years old,the average gestational age upon admission is 34.46±6.43 weeks.There were 16 patients with a fam-ily history of cardiomyopathy(16％),21 cases with obstructive HCM(21％)and 79 cases of non-obstructive HCM(79％),91 cases with abnormal ECG(91％),mainly with ST-T changes(77 cases,77％).The average in-terventricular septum was 19.39±6.13mm by echocardiography.②Among the 100 pregnancies of 100 HCM pa-tients,6 cases(6％)were miscarriages,94 newborns survived(94％),including 91 cases of cesarean section(91％)and 3 cases of vaginal delivery(3％).The predominant perinatal complications were preterm delivery(39 cases,39％),small for gestational age(5 cases,5％),neonatal asphyxia(3 cases,3％)and neonatal cardiac malformation(2 cases,2％).There were no perinatal deaths.③Univariate Logistic regression analysis showed that pre pregnancy heart function ≥ Grade Ⅱ,increased left atrial diameter,and concomitant pulmonary hyperten-sion were risk factors for perinatal complications in pregnant women with HCM(OR＞1,P＜0.05).Multivariate Lo-gistic regression analysis found that pre pregnancy heart function ≥ Grade Ⅱ was an independent risk factor for predicting the occurrence of perinatal complications in pregnant women with HCM(OR 6.270,P＜0.05).Conclu-sions:HCM during pregnancy can induce poor perinatal outcome.More attention should be paid to risk assess-ment and pregnancy management.Early detection of risk factors can reduce the incidence of perinatal complica-tions.