“In the field of genetic research, a team of experts successfully generated a p2rx2 loss-of-function zebrafish model using CRISPR/Cas9 technology, which provides a valuable tool for elucidating the molecular mechanisms of P2RX2-related hearing loss and for screening otoprotective drugs and developing gene therapies.”
“In the field of corneal diseases, this study identifies potential pathogenetic gene mutations in patients with sporadic keratoconus in the Han Chinese population. Expert researchers verified the role of ZNF469 gene mutations in KC pathogenesis, which lays a foundation for the construction of genetic screening systems for KC patients and their families.”
“In the field of neurotoxicity of carbon monoxide, this study introduces its research progress. Expert xx established the cytotoxic model and animal model, explored the molecular mechanisms by which retinoic acid alleviates CO-induced central nervous system damage, and verified the key role of lncRNA SNHG15 and LINGO-1 in mediating RA-induced inhibition of neuronal apoptosis. These findings provide a theoretical framework for optimizing the clinical treatment of delayed encephalopathy after acute carbon monoxide poisoning and lay an experimental foundation for elucidating its molecular mechanisms.”
摘要:目的全球流行病学数据显示加强监护病房(intensive care unit,ICU)中20%~30%的脓毒症患者因合并凝血病而进展为深静脉血栓(deep vein thrombosis,DVT),相关病死率达25%~40%。然而,现有预后评估工具存在局限,本研究旨在构建列线图和机器学习模型预测脓毒症合并DVT患者发生院内死亡的风险,并分析其临床适用性。方法基于重症监护医学信息数据库第4版(Medical Information Mart for Intensive Care IV,MIMIC-IV)(n=2 235)、电子重症监护协作研究数据库(eICU Collaborative Research Database,eICU-CRD)(n=1 274)和中南大学湘雅三医院加强监护病房入院数据集(定义为CSU-XYS-ICU数据集)(n=107)的多中心回顾性数据。将MIMIC-IV按7:3分为模型训练集(n=1 584)和内部验证集(n=651),其余作为外部验证集。通过最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)回归和贝叶斯信息准则(Bayesian information criterion,BIC)筛选变量,并构建列线图模型;采用极限梯度提升算法(extreme gradient boosting,XGBoost)构建机器学习模型。评估指标包括C指数、校准曲线、Brier评分、决策曲线分析(decision curve analysis,DCA)和净重分类改善指数(net reclassification improvement index,NRI)。结果通过LASSO回归和BIC筛选出年龄[比值比(odds ratio,OR)=1.02,95% CI 1.01~1.03,P<0.001]、活化部分凝血活酶时间(activated partial thromboplastin,APTT)最小值(OR=1.09,95% CI 1.08~1.11,P<0.001)、APTT最大值(OR=1.01,95% CI 1.00~1.01,P<0.001)、乳酸最大值(OR=1.56,95% CI 1.39~1.75,P<0.001)及血肌酐最大值(OR=2.03,95% CI 1.79~2.30,P<0.001)5个关键预测因子构建列线图模型。模型在内部验证(C指数=0.845,95% CI 0.811~0.879)和外部验证(eICU-CRD,C指数=0.827,95% CI 0.800~0.854;CSU-XYS-ICU,C指数=0.779,95% CI 0.687~0.871)中表现稳健,校准曲线显示预测与实际一致性高(Brier评分<0.25),DCA证实了临床获益。XGBoost模型训练集受试者操作特征(receiver operating characteristic,ROC)的曲线下面积(area under the curve,AUC)为0.982(95% CI 0.969~0.985),但外部验证效能下降(eICU-CRD,AUC=0.825,95% CI 0.817~0.861;CSU-XYS-ICU,AUC=0.766,95% CI 0.700~0.873),但仍高于临床阈值。XGBoost模型较列线图模型净获益略低(NRI=0.58)。结论列线图与XGBoost均可有效预测脓毒症合并DVT患者发生院内死亡的风险,但列线图在泛化能力及临床适用性上更具优势,其可视化评分系统为识别高危患者和实施个体化干预提供了量化工具。
“Reporting on the latest research in the field of near vision loss (NVL), this study analyzes the burden of NVL in China by sex and age groups from 1990 to 2021 and projects trends over the next 15 years. Using data from the Global Burden of Disease (GBD) 2021 database, researchers conducted descriptive analyses of NVL prevalence in China, calculated age-standardized prevalence rates (ASPR) and age-standardized disability-adjusted life years rates (ASDR) to compare burden differences between sexes and age groups, and applied an autoregressive integrated moving average (ARIMA) model to predict NVL trends for the next 15 years. The study reveals a marked increase in the NVL burden in China and predicts continued growth in the coming years. Public health policies should prioritize NVL prevention and control, with special attention to women and middle-aged populations to mitigate long-term societal and health impacts.”
摘要:目的近视力损失(near vision loss,NVL)是全球视力损伤的主要原因之一,对个人生活质量和社会经济发展有深远影响。本研究旨在分析1990至2021年中国不同性别和年龄组的NVL负担,并预测未来15年的趋势。方法利用全球疾病负担(Global Burden of Disease,GBD)2021数据集,采用描述性统计分析评估中国NVL的流行趋势,计算年龄标准化患病率(age-standardized prevalence rates,ASPR)和年龄标准化伤残调整生命年率(age-standardized disability-adjusted life years rates,ASDR),以比较不同性别和年龄组的负担差异。此外,使用自回归积分滑动平均(autoregressive integrated moving average,ARIMA)模型进行时间序列分析,以预测未来15年的NVL趋势。该模型的选择基于最佳拟合标准,以确保预测的可靠性。结果从1990至2021年,中国NVL的ASPR从10 096.24/10万上升至15 624.54/10万,ASDR从101.75/10万上升至158.75/10万。性别分析显示:2021年女性的ASPR(16 551.70/10万)高于男性(14 686.21/10万),且女性的ASDR(167.69/10万)也高于男性(149.76/10万)。2021年,中国在全球范围内NVL的患病例数和伤残调整生命年(disability-adjusted life years,DALYs)最高,女性负担明显超过男性(ASPR:16 551.70/10万 vs 14 686.21/10万)。此外,预测趋势显示这一性别差距将持续到2036年。与1990年相比,2021年的患病人数和DALYs分别增加了239.20%和238.82%,女性和中年组(55~59岁)的负担尤为严重。ARIMA模型预测,到2036年,NVL的患病率和DALYs率将继续上升,女性仍将面临比男性更高的负担。结论本研究揭示了中国NVL负担显著增加的趋势,并预测其未来将继续上升,建议在公共卫生政策中优先预防和控制NVL,特别需要关注女性和中年组,以减轻其对社会和个人健康的长期影响。
摘要:目的社区精神分裂症患者常存在病耻感,病耻感严重影响患者的精神症状及生活质量。本研究旨在探索社区精神分裂症患者病耻感与生活质量之间的关联,以及焦虑和抑郁症状在两者间的中介作用。方法采用多阶段分层整群随机抽样方法选取四川省成都市社区精神分裂症患者进行问卷调查。问卷调查内容包括一般人口学特征、病耻感问题、广泛性焦虑自评量表(Generalized Anxiety Disorder-7,GAD-7)、抑郁症筛查量表(Patient Health Questionnaire-9,PHQ-9)以及简明健康调查量表(the 12-item Short Form Health Survey,SF-12)等。SF-12用于评估生活质量,包括躯体健康和心理健康层面。采用多重中介模型分析焦虑和抑郁症状共同在患者病耻感与生活质量之间的中介效应。结果最终纳入1 087例社区精神分裂症患者,年龄为(50.68±12.73)岁,男性525例(48.30%)。存在病耻感的患者543例(49.95%)。有292例(26.86%)有焦虑症状,407例(37.44%)有抑郁症状。躯体健康生活质量评分为72.01±20.99,心理健康生活质量评分为71.68±19.38。多重中介分析结果显示:社区精神分裂症患者病耻感不仅可以直接影响生活质量,也可以通过焦虑和抑郁症状间接影响生活质量。焦虑和抑郁症状共同在病耻感对躯体健康生活质量中的总中介比例为42.26%,在对心理健康生活质量影响中的总中介比例为47.51%。结论减轻社区精神分裂症患者的病耻感并预防焦虑和抑郁症状能够有效提升患者的生活质量,有助于患者重新融入社会。
摘要:胞浆磷蛋白1(stathmin 1,STMN1)是一种微管结合蛋白,可促进微管解聚或抑制微管组装,调控细胞骨架形成、细胞周期进程等过程。STMN1在多种肿瘤中表达上调,主要通过核因子κB(nuclear factor-κB,NF-κB)、促分裂原活化的蛋白激酶(mitogen-activated protein kinase,MAPK)、铁死亡等经典途径促进肿瘤细胞的增殖、侵袭、转移,以及血管生成等恶性行为。STMN1还可通过影响机体免疫细胞功能,干预抗肿瘤免疫。临床数据显示STMN1高表达与肿瘤耐药和预后不良呈正相关,提示STMN1有作为肿瘤生物标志物和治疗分子靶点的潜能,具有重要的临床意义。