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Posttreatment Blood Pressure as a key Predictor in a 5-Year Stroke Prediction Model

JOURNAL OF CLINICAL HYPERTENSION 2025年第1期27卷 e14974页

作者： Zhang, Nan Mei, Jiarong Fan, Fangfang Zhang, Yan Zhou, Ziyi Li, Jianping Peking Univ First Hosp Dept Cardiol Beijing Peoples R China Shanghai Jiao Tong Univ Ctr Single Cell Omics Sch Publ Hlth Sch Med Shanghai Peoples R China

Evidence suggests that approximately 63.0%-84.2% of stroke survivors have hypertension, yet there is currently no stroke prediction tool specifically designed for individuals with hypertension. Using data from 20 702 hypertensive patients from the china Stroke Primary Prevention Trial (CSPPT), we developed a 5-year stroke risk prediction model. This prospective study collected treated blood pressure every 3 months, resulting in 22 measurements over the study period. The model was internally validated using bootstrap resampling, and its predictive performance was assessed with the C-index and calibration curves. We also developed a random forest model to rank the variable importance. The 5-year stroke risk prediction model for hypertensive individuals includes 10 risk factors, ranked by importance as follows: average systolic blood pressure during treatment, age, average diastolic blood pressure during treatment, baseline systolic blood pressure, history of diabetes, baseline total cholesterol level, baseline folate level, self-reported stress, smoking, and folic acid supplementation or not. The C statistic of the equation was 0.74 and there were no significant differences by gender or treatment group. Calibration plots indicate good internal consistency between observed and predicted 5-year stroke risk. We also developed an online calculator to assist clinicians and patients (). Our study indicates that for patients with hypertension, long-term posttreatment blood pressure is the primary predictor of stroke *** Registration: The CSPPT (*** Identifier: NCT00794885).

关键词： calibration posttreatment blood pressure random forest risk assessment stroke

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Improving prognostic evaluations in patients with stage IIIb light chain cardiac amyloidosis: role of haemodynamic parameters

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ORPHANET JOURNAL OF RARE DISEASES 2025年第1期20卷 1-8页

作者： Li, Jingyi Lu, Yang Xu, Xiqi Tian, Zhuang Li, Jian Zhang, Shuyang Chinese Acad Med Sci & Peking Union Med Coll Peking Union Med Coll Hosp Dept Cardiol State Key Lab Complex Severe & Rare Dis 1 Shuaifuyuan Beijing 100730 Peoples R China Chinese Acad Med Sci & Peking Union Med Coll Peking Union Med Coll Hosp Dept Hematol 1 Shuaifuyuan Beijing 100730 Peoples R China

BackgroundThere is no unified prognostic scoring system for light chain cardiac amyloidosis (AL-CA), particularly stage IIIb AL-CA. This study aimed to use invasive haemodynamic information to investigate markers that can more accurately evaluate the prognosis of patients with stage IIIb *** this retrospective cohort study, we conducted invasive haemodynamic measurements concurrently with myocardial biopsies to diagnose AL-CA. We used Cox regression analysis and time-dependent receiver operating characteristic curve analysis to study the associations between these measurements and overall mortality. Echocardiographic parameters were also recorded and analysed via logistic regression to explore their relationships with haemodynamic *** traditional haemodynamic parameters, such as the cardiac index (CI), pulmonary artery wedge pressure (PAWP), pulmonary artery pressure, and vascular resistance, did not correlate with mortality, the PAWP/CI ratio emerged as a vital prognostic marker. Patients with a PAWP/CI ratio above 11 mmHg/L/min/m2 had markedly poorer survival. Kaplan-Meier analysis highlighted the prognostic significance of the ratio, revealing distinct survival differences. Furthermore, logistic regression confirmed that echocardiographically measured pulmonary artery systolic pressure independently correlated with increases in the PAWP/CI *** stage IIIb AL-CA patients, the PAWP/CI ratio, which surpasses traditional haemodynamic indicators, significantly predicts all-cause mortality, emphasizing its prognostic value. Our findings suggest that echocardiography-derived PASP could alternatively reflect the PAWP/CI ratio.

关键词： Light chain cardiac amyloidosis Heart failure Haemodynamic parameters Survival analysis Echocardiography

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The correlation between ANAs and pregnancy loss and their impact on IVF/ICSI-ET pregnancy outcomes in patients with recurrent pregnancy loss

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INTERnational JOURNAL OF GYNECOLOGY & OBSTETRICS 2025年第0期 2025 Jan 30页

作者： Liu, Manman Zhang, Hebo Xu, Shilian Zhang, Rui Yuan, Mengfan Ren, Bingnan Zhang, Wenjuan Liu, Zhaozhao Guan, Yichun Zhengzhou Univ Affiliated Hosp 3 Dept Reprod Med 7 Rehabil Front St Zhengzhou 450052 Peoples R China

ObjectiveTo explore the correlation between antinuclear antibodies (ANAs) and pregnancy loss (PL), and to observe its impact on the pregnancy outcomes of in vitro fertilization/intracytoplasmic sperm injection-embryo transfer (IVF/ICSI-ET) in recurrent PL (RPL) *** this retrospective study, patients first seen at the hospital between January 2016 and December 2022 and who underwent two ANA tests within 4-6 weeks were included. After exclusion of confounding factors, patients were allocated to the non-pregnancy loss (non-PL), single-PL, or RPL group according to previous number of PLs, and the correlation between PL and ANAs was analyzed. The first embryo transfer (ET) after in vitro IVF/ICSI without immunological treatment was placed in the RPL group, and patients were classified into the ANA-negative or ANA-positive subgroup according to ANA titer. The effect of ANAs on pregnancy outcomes in the RPL patients after IVF/ICSI-ET was further *** results of multivariate unordered logistic regression showed that when the non-PL group was used as the reference, ANA positivity was an independent risk factor for RPL (P = 0.023) but not for single PL (P = 0.654). When the single-PL group was used as the reference, ANA positivity was an independent risk factor for RPL (P = 0.022). Multivariate logistic regression analysis revealed that the early PL rate of the ANA-positive subgroup was significantly higher than that of the ANA-negative subgroup (P = 0.009), and the total PL rate of the ANA-positive subgroup was significantly higher than that of the ANA-negative subgroup (P = 0.049).ConclusionThe results showed that ANA positivity may be related to RPL occurrence, but there was no significant correlation between ANA positivity and single PL. ANA positivity is associated with PL occurrence in RPL patients after transfer, and the correlation is reflected mainly in the first trimester.

关键词： antinuclear antibody assisted reproductive technology pregnancy loss recurrent pregnancy loss

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When smoke meets gut:deciphering the interactions between tobacco smoking and gut microbiota in disease development

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Science china(Life Sciences) 2024年第5期67卷 854-864页

作者： Bo Chen Guangyi Zeng Lulu Sun Changtao Jiang Center of Basic Medical Research Institute of Medical Innovation and ResearchPeking University Third HospitalBeijing 100191China Department of Physiology and Pathophysiology School of Basic Medical SciencesState Key Laboratory of Vascular Homeostasis and RemodelingPeking UniversityBeijing 100191China Center for Obesity and Metabolic Disease Research School of Basic Medical SciencesPeking UniversityBeijing 100191China State Key Laboratory of Women’s Reproductive Health and Fertility Promotion Peking UniversityBeijing 100191China Department of Endocrinology and Metabolism Peking University Third HospitalBeijing 100191China

Tobacco smoking is a prevalent and detrimental habit practiced worldwide,increasing the risk of various diseases,including chronic obstructive pulmonary disease(COPD),cardiovascular disease,liver disease,and *** previous research has explored the detrimental health effects of tobacco smoking,recent studies suggest that gut microbiota dysbiosis may play a critical role in these *** tobacco smoke components,such as nicotine,are found in the gastrointestinal tract and interact with gut microbiota,leading to lasting impacts on host health and *** review delves into the ways tobacco smoking and its various constituents influence gut microbiota composition and *** also summarize recent advancements in understanding how tobacco smoking-induced gut microbiota dysbiosis affects host ***,this review introduces a novel perspective on how changes in gut microbiota following smoking cessation may contribute to withdrawal syndrome and the degree of health improvements in smokers.

关键词： tobacco smoking gut microbiota dysbiosis nicotine smoking cessation

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Sorption enhanced steam reforming of methanol for high-purity hydrogen production via Fe-doped Cu-MgO catalytic-sorption bifunctional material

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JOURNAL OF THE ENERGY INSTITUTE 2025年 120卷

作者： Shen, Zewei Han, Long Qi, Zhifu Ding, Haoran Mao, Shengxiao Hong, Haixiang Yin, Xuejian Qiu, Tong Xin, Linbin Shao, Yitian Duan, Guosheng Zhejiang Univ Technol Zhejiang Key Lab Clean Energy Convers & Utilizat Hangzhou 310014 Peoples R China Zhejiang Univ Technol Sci & Educ Integrat Coll Energy & Carbon Neutraliz Hangzhou 310014 Peoples R China Quzhou Ecoind Innovat Inst ZJUT Quzhou 324499 Peoples R China Zhejiang Baima Lake Lab Co Ltd Hangzhou 311121 Zhejiang Peoples R China Longyou Jinyi Thermal Power Co Ltd Quzhou 324400 Peoples R China

One of the key routes toward green hydrogen storage and utilization is hydrogen production through green methanol reforming. In this study, Fe-doped Cu-MgO catalytic-CO2 sorption bifunctional material was synthesized using the sol-gel method. The physicochemical properties of these materials were characterized using XRD, XPS, and CO2-TPD. Then the hydrogen production performance of sorption enhanced steam reforming of methanol (SE-SRM) was evaluated in a fixed-bed reaction system. The results revealed that the material's primary components were Cu, MgO, and Fe2O3. The addition of Fe component was beneficial for promoting Cu dispersion. The variation of the Fe doping amount influenced the interaction between Cu and MgO, altering the distribution of Cu ions, surface oxygen states, and CO2 sorption active site occupancy. Moderate Fe doping significantly improved methanol conversion and H2 selectivity. After 15 min of reaction time, Fe-doped materials exhibited significantly higher methanol conversion than standard Cu-MgO material. The influences of reforming temperature, water-to-methanol molar ratio, and aqueous methanol flow rate on the performance of Fe-doped Cu-MgO materials were also investigated. At reaction conditions of 200 degrees C, water-to-methanol ratio 1.50 and methanol flow rate of 0.10 mL/min, methanol conversion reached 77.5 % and hydrogen selectivity 83.1 %, which were superior to previous methanol reforming performance with Cu-based catalysts. Results from present study suggest that the bifunctional materials had strong potential for green methanol reforming application in hydrogen production.

关键词： Green methanol reforming Hydrogen production SE-SRM Catalytic-sorption bifunctional materials

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Focusing on Rare Variants Related to Maturity-Onset Diabetes of the Young in Children

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PEDIATRIC DIABETES 2025年第1期2025卷 8155443页

作者： Ding, Yu Zhang, Qianwen Gao, Shiyang Li, Juan Chang, Guoying Wang, Yirou Wang, Libo Li, Xin Chen, Yao Yao, Ru-en Yu, Tingting Li, Niu Lou, Dan Wang, Xiumin Shanghai Jiao Tong Univ Sch Med Shanghai Childrens Med Ctr Dept Endocrinol & Metab Shanghai 200127 Peoples R China Shanghai Jiao Tong Univ Sch Med Dept Med Genet Shanghai 200127 Peoples R China Shanghai Jiao Tong Univ Shanghai Childrens Med Ctr Sch Med Mol Diagnost Lab Shanghai 200127 Peoples R China Shanghai Jiao Tong Univ Sch Med Dept Reprod & Genet Int Peace Matern & Child Hlth Hosp Shanghai 200030 Peoples R China Henan Univ Sci & Technol Affiliated Hosp 1 Dept Pediat Luoyang 471000 Peoples R China

Background: In this study, we analysed the clinical and genetic characteristics and follow-up data of patients with maturity-onset diabetes of the young (MODY).Methods: From January 2015 to December 2022, patients with persistent hyperglycaemia suspected of having monogenic diabetes or diabetes syndrome were recruited, and next-generation sequencing (NGS) was performed at the Shanghai Children's Medical Center. Patients' clinical and laboratory findings were recorded preceding follow-ups. Candidate variants were verified using Sanger sequencing. Variant pathogenicity was evaluated according to the American College of Medical Genetics and Genomics (ACMG) ***: Genetic testing was performed in 175 children. MODY-related pathogenic or likely pathogenic gene variants were identified in 30 patients from different families. Of these, 11 were diagnosed with GCK-MODY (36.7%), six with INS-MODY (20%), five with HNF1A-MODY (16.7%), five with ABCC8-MODY (16.7%), two with HNF1B-MODY (6.7%) and one with HNF4A-MODY (3.3%). There was one shift variant and seven splice-site variants, and the rest were missense variants. We discovered six novel variants. Of the 30 patients, 63.3% had a family history of diabetes, 13.3% had diabetic ketoacidosis (DKA), and 16.7% had positive diabetes-associated autoantibodies. The diabetes phenotype of patients with the INS variant was similar to that of patients with type 1 diabetes. All patients, including those having positive autoantibodies, required long-term insulin therapy during follow-ups. Four patients with the ABCC8 variant were unable to switch to oral sulfonylurea therapy and continued insulin ***: Genetic testing is helpful for the precise diagnosis and treatment of patients with MODY, including those with DKA history and positive diabetes autoantibody. GCK-MODY is the most common type of MODY, and patients with INS variant account for a relatively large proportion of MODY cases in our cohort.

关键词： childhood MODY next-generation sequencing rare subtypes

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De Novo Multienzyme Synthetic Pathways for Lactic Acid Production

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ACS CATALYSIS 2024年第7期14卷 4665-4674页

作者： Ding, Xu-Wei Rong, Jing Pan, Ze-Peng Zhu, Xin-Xin Zhu, Zhen-Yu Chen, Qi Zhang, Zhi-Jun Xu, Jian-He Li, Chun-Xiu Zheng, Gao-Wei East China Univ Sci & Technol Shanghai Collaborat Innovat Ctr Biomfg State Key Lab Bioreactor Engn Shanghai 200237 Peoples R China

The utilization and conversion of one-carbon (C1) feedstocks through biological processes have attracted much interest in building a carbon cycle economy. However, relevant research on the biosynthetic pathway of lactic acid (LA) from C1 compounds has not been reported. Herein, three de novo multienzyme synthetic pathways for optically pure and racemic LA from methanol were successfully engineered using a modularized construction and optimization approach involving enzyme screening, directed evolution, and improving reaction conditions. The general synthetic system achieved a productivity of 2.2-2.8 g/L LA with a maximum synthesis rate ranging from 9.6 to 15.6 g/L/day. Both L- and D-LA showed high stereoselectivity (>99% ee). This work provides an eco-friendly alternative approach for the production of LA, and it could contribute to carbon neutrality in the future.

关键词： biocatalysis C1 compound lacticacid multienzyme cascade protein engineering

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A Data-Driven key Performance Indicator-Related Monitoring Scheme for Dynamic Nonlinear Systems

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2024年第4期71卷 2074-2078页

作者： Han, Huayun Zhao, Dong Gao, Xuejin Beijing Univ Technol Fac Informat Technol Engn Res Ctr Digital Community Minist Educ Beijing 100124 Peoples R China Beihang Univ Sch Cyber Sci & Technol Beijing 100191 Peoples R China

This brief addresses the data-driven fault monitoring issues for nonlinear systems with dynamic operations by taking into account the key performance indicators (KPIs). To reach this objective, the KPIs related to the other variables of the nonlinear systems are first established by means of the Takagi-Sugeno fuzzy technique. Then, the input/output data model of the KPIs is constructed in fuzzy form. By applying the subspace-aided method, a fuzzy-model-based KPI predictor is obtained. On this basis, a data-driven realization algorithm of the KPI prediction residual generator is proposed with available system measurements. Towards KPI-related fault monitoring purpose, the control limit is computed by utilizing the kernel density estimation method, with which an online KPI-related monitoring scheme for dynamic nonlinear systems is presented. Compared with the existing methods, the merits of this scheme lie in that it can handle the nonlinear and dynamic characteristics of data, so as to improve the detection performance of KPI-related faults. Meanwhile, the KPI prediction model can achieve interpretability by introducing the fuzzy modeling. An experimental study on the ship propulsion system is finally given to demonstrate the developed results.

关键词： Fault monitoring data-driven dynamic nonlinear systems fuzzy-model-based key performance indicators ship propulsion system

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Deep Subject-Sensitive Hashing Network for High-Resolution Remote Sensing Image Integrity Authentication

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2024年 21卷 1页

作者： Xu, Dingjie Chen, Sheng Zhu, Changqing Li, Hui Hu, Luanyun Ren, Na Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing 210023 Peoples R China Hunan Engn Res Ctr Geog Informat Secur & Applicat Changsha 410000 Peoples R China

For ensuring the integrity of high-resolution remote sensing (HRRS) images, the perceptual hash method offers a dual advantage. It preserves the nondestructive nature of the original image while also ensuring robustness to content-preserving operations. However, current deep learning-based HRRS image hashing methods for integrity authentication are notably limited as they terminate at the feature extraction stage and fail to achieve an end-to-end construction from image to hash value. Consequently, there is a looming risk of uncontrollability and unexpected events. To overcome this problem, this letter proposes a deep subject-sensitive hashing network (DSSHN), presenting a unified network for end-to-end feature extraction and hash construction. Improved convolutional block attention module (I-CBAM) helps the network to focus more on subject-sensitive features. A targeted training scheme ensures perceptual hash robustness. The experimental results reveal that the algorithm achieves the best tampering detection performance, with top AUC (0.994) and leading precision and recall rates.

关键词： CBAM high-resolution remote sensing (HRRS) image integrity authentication subject-sensitive hashing

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The secret behind instant messaging: video identification attack against complex protocols

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CYBERSECURITY 2025年第1期8卷 1-18页

作者： Huang, Ruiqi Wu, Hua Wang, Xiaohui Cheng, Guang Hu, Xiaoyan Southeast Univ Sch Cyber Sci & Engn 2 Southeast Univ Rd Nanjing 211189 Jiangsu Peoples R China Purple Mt Labs Network & Commun Secur 9 Muozhou East Rd Nanjing 211111 Jiangsu Peoples R China Jiangsu Prov Engn Res Ctr Secur Ubiquitous Network 2 Southeast Univ Rd Nanjing 211189 Jiangsu Peoples R China

People conveniently share and watch videos through Instant Messaging(IM) software, which is likely to reveal their preferences. Identifying IM video content can enable attackers to snoop on user privacy. Existing methods identify videos based on the features embodied in the DASH stream. However, IM software does not transmit video using DASH. IM software uses various transmission protocols or even private protocols for video transmission, which poses a challenge for video content identification. In this paper, we propose a video content identification framework for IM software, which obtains video content by extracting unique and stable features of videos as transmission fingerprints and matching them in a video fingerprint database. We evaluate the method on two popular IM software. The experimental results show that our method has an accuracy of 98.05% and 99.49% for ciphertext videos transmitted over GQUIC protocol and HTTPS protocol, respectively, and even reaches 100% identification accuracy for plaintext videos. Furthermore, the experimental results outperform the existing methods.

关键词： Instant messaging software video Video fingerprint Video identification Privacy

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