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Correction: Common Subtype of Small Renal Mass MR Imaging Characterisation: A Medical Center Experience in Taiwan

Journal of Medical and Biological engineering 2023年第4期43卷 495-496页

作者： Liu, Ming-Cheng Liu, Yi-Jui Lin, Yen-Ting Hung, Siu-Wan Chai, Jyh-Wen Chan, Si-Wa Chiu, Kun-Yuan Chang, Chih-Hao Tsou, Ya-Ling Department of Radiology Taichung Veterans General Hospital Taichung Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Institute of Clinical Medicine National Yang-Ming University Taipei Taiwan Department of Veterinary Medicine National Chung Hsing University Taichung Taiwan School of Medical Imaging and Radiological Sciences Chung Shan Medical University Taichung Taiwan Department of Medical Imaging Taichung Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Taichung Taiwan School of Medicine Tzu Chi University Hualien Taiwan Department of Medical Imaging Radiological Science Central Taiwan University of Science and Technology Taichung Taiwan Division of Urology Department of Surgery Taichung Veterans General Hospital Taichung Taiwan Department of Applied Chemistry National Chi Nan University Nantou Taiwan Nagoya University Nagoya Japan

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Negative prognostic factors and clinical improvement prediction modeling for extracorporeal shockwave therapy in calcific shoulder tendinitis using artificial intelligence techniques

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Journal of Shoulder and Elbow Surgery 2025年

作者： Chou, Wen-Yi Huang, Tian-Hsiang Cheng, Jai-Hong Lien, Yu-Jui Ho, Wen-Hsien Chou, Paul Pei-Hsi Ph.D. Program in Biomedical Engineering College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Orthopedic Surgery Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Leisure and Sport Management Cheng Shiu University Kaohsiung Taiwan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan Department of Medical Research Center for Shockwave Medicine and Tissue Engineering Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Healthcare Administration and Medical Informatics Kaohsiung Medical University Kaohsiung Taiwan Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung Taiwan College of Professional Studies National Pingtung University of Science and Technology Pingtung Taiwan Precision Sports Medicine and Health Promotion Center Kaohsiung Medical University Kaohsiung Taiwan Department of Sports Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Division of Sports Medicine Department of Orthopaedic Surgery Kaohsiung Medical University Hospital Kaohsiung Taiwan Department of Orthopaedics School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan

Background: The efficacy of extracorporeal shockwave therapy (ESWT) for treating shoulder calcific tendinitis can be influenced by various prognostic factors. This study aimed to identify prognostic factors associated with the failure of ESWT for symptom relief and to evaluate the predictive capability of the eXtreme Gradient Boosting (XGBoost) algorithm of artificial intelligence techniques in this context. Methods: This retrospective study enrolled patients with persistent shoulder pain attributed to calcific tendinitis who underwent ESWT after failed conservative treatment between January 1998 and december 2022. Age, sex, duration of symptoms, calcification classification and size, pre-ESWT visual analog scale (VAS), and pre-ESWT Constant-Murley score (CMS) served as potential input attributes. The difference in VAS and CMS were defined as the output attributes. The XGBoost model was used to predict treatment outcomes based on these factors. The dataset was balanced using the synthetic minority oversampling technique, and the model's performance was assessed using 10-fold cross-validation. Spearman's rank correlation coefficient analysis was adopted to explore the relationships between significant continuous input attributes and post-ESWT VAS and CMS scores. Results: A total of 296 patients with calcific tendinitis were enrolled and completed the 1-year follow-up. The findings revealed that a prolonged symptom duration (>10 months), severe pain (pre-ESWT VAS >5), and higher pre-ESWT CMS (>55) were significant prognostic factors for the failure of ESWT for symptom relief. Using these factors as inputs, the XGBoost model demonstrated high accuracy, precision, recall, and F1 score. By reducing the input attributes to age, calcification size, pre-ESWT CMS, and symptom duration, the model maintained a high prediction rate, suggesting that these factors are sufficient for effective prediction. discussion: The present study identified significant prognostic factors asso

关键词： Artificial intelligence Basic science Study calcific tendinitis CMS development of Predictive Computer Modeling Using AI/Machine Learning ESWT shoulder VAS XGBoost

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Peptide-Coated Bacteriorhodopsin-Based ph.toelectric Biosensor for detecting Rheumatoid Arthritis

Biosensors

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Biosensors 2023年第10期13卷 929-929页

作者： Chen, Hsiu-Mei Tsai, Yi-Hsuan Hsu, Chien-Yi Wang, Yong-Yi Hsieh, Cheng-En Chen, Jin-Hua Chang, Yu-Sheng Lin, Ching-Yu Department of Chemical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Family Medicine Wan Fang Hospital Taipei Medical University Taipei11696 Taiwan Division of Cardiology and Cardiovascular Research Center Department of Internal Medicine Taipei Medical University Hospital Taipei11031 Taiwan Division of Cardiology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Taipei Heart Institute Taipei Medical University Taipei11031 Taiwan Graduate Institute of Data Science College of Management Taipei Medical University Taipei11031 Taiwan Office of Data Science Taipei Medical University Taipei11031 Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine Shuang Ho Hospital Taipei Medical University New Taipei City23561 Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan

An effective early diagnosis is important for rheumatoid arthritis (RA) management. This study reveals a novel RA detection method using bacteriorhodopsin as a ph.toelectric transducer, a light-driven proton pump in purple membranes (PMs). It was devised by covalently conjugating a PM monolayer-coated electrode with a citrullinated-inter-alph.-trypsin inhibitor heavy chain 3 (ITIH3)542–556 peptide that recognizes the serum RA-associated autoantibodies. The direct serum coating decreased the ph.tocurrents in the biosensor, with the reduction in the ph.tocurrent caused by coating with an RA-patient serum that is significantly larger than that with a healthy-control serum (38.1% vs. 20.2%). The difference in the reduction in the ph.tocurrent between those two serum groups widened after the serum-coated biosensor was further labeled with gold nanoparticle (AuNP)-conjugated anti-IgA (anti-IgA-AuNP) (53.6% vs. 30.6%). Both atomic force microscopic (AFM) and Raman analyses confirmed the sequential peptide, serum, and anti-IgA-AuNP coatings on the PM-coated substrates. The reductions in the ph.tocurrent measured in both the serum and anti-IgA-AuNPs coating steps correlated well with the results using commercial enzyme-linked immunosorbent assay kits (Spearman rho = 0.805 and 0.787, respectively), with both a sensitivity and specificity close to 100% in both steps. It was shown that an RA diagnosis can be performed in either a single- or two-step mode using the developed biosensor. © 2023 by the authors.

关键词： Peptides

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Highly efficient capture of E. coli using amidoximated polyacrylonitrile nanofiber membrane immobilized with reactive green 19 dye/polyhexamethylene biguanide: Antibacterial and cytotoxicity studies

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Separation and Purification technology 2024年 338卷

作者： Quang-Vinh Le Bing-Lan Liu Penjit Srinoph.kun Jeng-Ywan Shih Chi-Yun Wang Chen‑Yaw Chiu Shen-Long Tsai Kuei-Hsiang Chen Yu-Kaung Chang Department of Chemical Engineering National Taiwan University of Science and Technology Taipei City 10607 Taiwan Department of Applied Chemistry Chaoyang University of Technology Taichung 413310 Taiwan Department of Chemical Engineering Kasetsart University 50 Ngamwongwan Road Chatuchak Bangkok 10900 Thailand Department of Chemical Engineering Ming Chi University of Technology New Taipei City 243303 Taiwan International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Bone and Joint Research Centre Chang Gung Memorial Hospital Taoyuan City 333423 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Zhongli Dist. Taoyuan City 320315 Taiwan

In this study, we synthesized an amidoximated polyacrylonitrile nanofiber membrane (P-Oxime). Subsequently, we grafted reactive green 19 (RG19) dye onto its surface, resulting in the formation of the P-Oxime-RG19 membrane. Further enhancement was achieved by ph.sically attaching poly(hexamethylene biguanide) hydrochloride (ph.B) to the P-Oxime-RG19 membrane, leading to the formation of the P-Oxime-RG19-ph.B membrane. Extensive characterization of the nanofiber membranes was conducted, focusing on crucial ph.sical and mechanical properties such as functional group content, morph.logy, and thermostability. The optimization of various modification conditions, including initial dye and ph.B concentrations, duration, temperature, and nitrile group conversion to oxime concentrations, played a pivotal role in achieving superior antibacterial performance in P-Oxime-RG19-ph.B nanofiber membranes. In-depth analyses involved the application of kinetic and equilibrium thermodynamic models to unravel the modification processes of RG19 dye and ph.B in the nanofiber membranes. Under the carefully tuned optimal modification conditions, the P-Oxime-RG19-ph.B nanofiber membrane exhibited remarkable antibacterial efficacy, achieving nearly 100% disinfection of E. coli . In addition to exploring its antimicrobial capabilities, we thoroughly examined the repeatability and biocompatibility of the nanofiber membranes. The results indicated not only the P-Oxime-RG19-ph.B nanofiber membrane was a highly promising antibacterial material but also highlighted its potential for diverse applications, particularly in food and textile fabrication, owing to its exceptional performance and suitability.

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Retraction notice to "Organic composts as A vehicle for the entry of microplastics into the environment: A comprehensive review" [Sci. Total Environ. 892 (2023) 164758]

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The science of the total environment 2024年 957卷 177731页

作者： Van-Re Le Minh-Ky Nguyen Hoang-Lam Nguyen Chitsan Lin Md Refat Jahan Rakib Van-Anh Thai Van-Giang Le Guilherme Malafaia Abubakr M Idris Ho Chi Minh City University of Food Industry (HUFI) 140 Le Trong Tan Street Tan Phu District Ho Chi Minh City 700000 Viet Nam. Faculty of Environment and Natural Resources Nong Lam University of Ho Chi Minh City Hamlet 6 Linh Trung Ward Thu Duc City Ho Chi Minh City 700000 Viet Nam Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. Department of Civil Engineering McGill University Montreal Canada. Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. Department of Fisheries and Marine Science Faculty of Science Noakhali Science and Technology University Noakhali 3814 Bangladesh. Institute of Aquatic Science and Technology National Kaohsiung University of Science and Technology Kaohsiung City 81157 Taiwan. Central Institute for Natural Resources and Environmental Studies Vietnam National University Hanoi 111000 Viet Nam. Post-Graduation Program in Ecology Conservation and Biodiversity Federal University of Uberlândia Uberlândia MG Brazil Post-Graduation Program in Biotechnology and Biodiversity Federal University of Goiás Goiânia GO Brazil Post-Graduation Program in Conservation of Cerrado Natural Resources Goiano Federal Institute Urutaí GO Brazil. Department of Chemistry College of Science King Khalid University 61431 Abha Saudi Arabia Research Center for Advanced Materials Science (RCAMS) King Khalid University Abha 61421 Saudi Arabia.

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Time synchronization between parietal–frontocentral connectivity with MRCP and gait in post-stroke bipedal tasks

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Journal of Neuroengineering and Rehabilitation 2024年第1期21卷 101页

作者： ph.ng, Chun-Ren Su, Kai-Hsiang Cheng, Yuan-Yang Chen, Chia-Hsin Ko, Li-Wei International Ph.D. Program in Interdisciplinary Neuroscience (UST) College of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) College of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Biological Science and Technology College of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Physical Medicine and Rehabilitation Taichung Veterans General Hospital Taichung Taiwan Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan School of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Department of Physical Medicine and Rehabilitation Kaohsiung Medical University Hospital Kaohsiung Taiwan School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Regenerative Medicine and Cell Therapy Research Center Kaohsiung Medical University Kaohsiung Taiwan Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Biomedical Science and Environment Biology Kaohsiung Medical University Kaohsiung Taiwan Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung Taiwan

Background: In post-stroke rehabilitation, functional connectivity (FC), motor-related cortical potential (MRCP), and gait activities are common measures related to recovery outcomes. However, the interrelationship between FC, MRCP, gait activities, and bipedal distinguishability have yet to be investigated. Methods: Ten participants were equipped with EEG devices and inertial measurement units (IMUs) while performing lower limb motor preparation (MP) and motor execution (ME) tasks. MRCP, FCs, and bipedal distinguishability were extracted from the EEG signals, while the change in knee degree during the ME ph.se was calculated from the gait data. FCs were analyzed with pairwise Pearson’s correlation, and the brain-wide FC was fed into support vector machine (SVM) for bipedal classification. Results: Parietal–frontocentral connectivity (PFCC) dysconnection and MRCP desynchronization were related to the MP and ME ph.ses, respectively. Hemiplegic limb movement exhibited higher PFCC strength than nonhemiplegic limb movement. Bipedal classification had a short-lived peak of 75.1% in the pre-movement ph.se. These results contribute to a better understanding of the neuroph.siological functions during motor tasks, with respect to localized MRCP and nonlocalized FC activities. The difference in PFCCs between both limbs could be a marker to understand the motor function of the brain of post-stroke patients. Conclusions: In this study, we discovered that PFCCs are temporally dependent on lower limb gait movement and MRCP. The PFCCs are also related to the lower limb motor performance of post-stroke patients. The detection of motor intentions allows the development of bipedal brain-controlled exoskeletons for lower limb active rehabilitation. © The Author(s) 2024.

关键词： Brain–computer interface Functional connectivity Motor execution Motor preparation Post-stroke

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Ultrasensitive and selective electrochemical detection of hydroquinone using electropolymerized 7-amino ceph.losporanic acid modified GCE

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Surface and Coatings technology 2025年

作者： H. Sathya Pandiaraja Varatharajan M.A. Ashkar M. Chandhru Mani Govindasamy S. Kutti Rani N. Vasimalai Department of Chemistry B.S. Abdur Rahman Crescent Institute of Science and Technology Vandalur Chennai 600 048 India International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Department of Physics B.S. Abdur Rahman Crescent Institute of Science and Technology Vandalur Chennai 600 048 India Centre for Applied Research Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai 602105 Tamil Nadu India Research Center for Intelligence Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan

Industrial wastewater pollution harms ecosystems and hinders sustainable development growth. Particularly, hydroquinone (HQ) has transitioned from a commercial chemical to an environmental hazard because of its extensive use in beauty products, ph.rmaceuticals, chemicals, and food industries. Therefore, developing electrochemical sensors for the detection of HQ is very important for environmental safety. Herein, the 7-ACA monomer was electropolymerized on the glassy carbon electrode (GCE) surface to examine the electrochemical oxidation of HQ utilizing CV (cyclic voltammetry) and dPV (differential pulse voltammetry) techniques. Scanning electron microscopy (SEM) characterization verified the deposition of the p-7-ACA on the glassy carbon electrode (GCE) surface. The designed p-7-ACA@GCE sensor exhibited better electrocatalytic property. The acquired dPV observations for the p-7-ACA@GCE demonstrated excellent limit of detection (LOd) 8.86 nmol L −1 and broad linear range (0.33 μM to 955 μM) for the detection of HQ. The developed sensor exhibits excellent repeatability, reproducibility, selectivity and better cyclic stability. In addition, the fabricated p-7-ACA@GCE was used to determine the HQ in a different environmental water sample.

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Corrigendum to "development and functional evaluation of a hyaluronic acid coated nano-formulation with kaempferol as a novel intra-articular agent for knee osteoarthritis treatment"[ Biomed. ph.rmacother. 175(2024) 116717]

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Biomedicine & ph.rmacotherapy = Biomedecine & ph.rmacotherapie 2024年 177卷 116944页

作者： Ching-Yu Lee Yu-Chu Chang Kai-Chiang Yang Yung-Fang Lin Alexander T H Wu Ching-Li Tseng International Ph.D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei 110301 Taiwan Department of Orthopedics Taipei Medical University Hospital Taipei 110301 Taiwan Department of Orthopaedics School of Medicine College of Medicine Taipei Medical University Taipei 110301 Taiwan Orthopedic Research Center Taipei Medical University Hospital Taipei 110301 Taiwan. Department of Biochemistry and Molecular Cell Biology School of Medicine College of Medicine Taipei Medical University Taipei 110301 Taiwan. School of Dental Technology College of Oral Medicine Taipei Medical University Taipei 110301 Taiwan. Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei 110301 Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei 110301 Taiwan. The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 110301 Taiwan Clinical Research Center Taipei Medical University Hospital Taipei Medical University Taipei 110301 Taiwan. Electronic address: chaw1211@tmu.edu.tw. International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei 110301 Taiwan. Electronic address: chingli@tmu.edu.tw.

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Gene set correlation enrichment analysis for interpreting and annotating gene expression profiles

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Nucleic Acids Research 2024年第3期52卷 E17页

作者： Chang, Lan-Yun Lee, Meng-Zhan Wu, Yujia Lee, Wen-Kai Ma, Chia-Liang Chang, Jun-Mao Chen, Ciao-Wen Huang, Tzu-Chun Lee, Chia-Hwa Lee, Jih-Chin Tseng, Yu-Yao Lin, Chun-Yu Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu 300 Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University New Taipei City 235 Taiwan Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu 300 Taiwan TMU Research Center of Cancer Translational Medicine Taipei Medical University Taipei 110 Taiwan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University New Taipei City 235 Taiwan Department of Otolaryngology-Head and Neck Surgery Tri-Service General Hospital National Defense Medical Center Taipei 110 Taiwan Department of Food Science Nutrition and Nutraceutical Biotechnology Shih Chien University Taipei 104 Taiwan Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu 300 Taiwan Cancer and Immunology Research Center National Yang Ming Chiao Tung University Taipei 112 Taiwan Institute of Data Science and Engineering National Yang Ming Chiao Tung University Hsinchu 300 Taiwan School of Dentistry Kaohsiung Medical University Kaohsiung 807 Taiwan

Pathway analysis, including nontopology-based (non-TB) and topology-based (TB) methods, is widely used to interpret the biological ph.nomena underlying differences in expression data between two ph.notypes. By considering dependencies and interactions between genes, TB methods usually perform better than non-TB methods in identifying pathways that include closely relevant or directly causative genes for a given ph.notype. However, most TB methods may be limited by incomplete pathway data used as the reference network or by difficulties in selecting appropriate reference networks for different research topics. Here, we propose a gene set correlation enrichment analysis method, Gscore, based on an expression dataset-derived coexpression network to examine whether a differentially expressed gene (dEG) list (or each of its dEGs) is associated with a known gene set. Gscore is better able to identify target pathways in 89 human disease expression datasets than eight other state-of-the-art methods and offers insight into how disease-wide and pathway-wide associations reflect clinical outcomes. When applied to RNA-seq data from COVId-19-related cells and patient samples, Gscore provided a means for studying how dEGs are implicated in COVId-19-related pathways. In summary, Gscore offers a powerful analytical approach for annotating individual dEGs, dEG lists, and genome-wide expression profiles based on existing biological knowledge. © 2024 Oxford University Press. All rights reserved.

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An integrative systems-biology approach defines mechanisms of Alzheimer’s disease neurodegeneration

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Nature Communications 2025年第1期16卷 1-21页

作者： Leventhal, Matthew J. Zanella, Camila A. Kang, Byunguk Peng, Jiajie Gritsch, david Liao, Zhixiang Bukhari, Hassan Wang, Tao Pao, Ping-Chieh danquah, Serwah Benetatos, Joseph.Nehme, Ralda Farhi, Samouil Tsai, Li-Huei dong, Xianjun Scherzer, Clemens R. Feany, Mel B. Fraenkel, Ernest MIT Ph.D. Program in Computational and Systems Biology Cambridge MA United States Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA United States Broad Institute of Harvard and MIT Cambridge MA United States Department of Pathology Brigham and Women’s Hospital and Harvard Medical School Boston MA United States Spatial Technology Platform Broad Institute of Harvard and MIT Cambridge MA United States Precision Neurology Program Brigham and Women’s Hospital and Harvard Medical school Boston MA United States APDA Center for Advanced Parkinson’s Disease Research Brigham and Women’s Hospital and Harvard Medical School Boston MA United States Picower Institute for Learning and Memory Massachusetts Institute of Technology Cambridge MA United States Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge MA United States Stanley Center for Psychiatric Research Broad Institute of Harvard and MIT Cambridge MA United States School of Computer Science Northwestern Polytechnical University Xi’an China Stephen and Denise Adams Center of Yale School of Medicine New Haven CT United States

despite years of intense investigation, the mechanisms underlying neuronal death in Alzheimer’s disease, remain incompletely understood. To define relevant pathways, we conducted an unbiased, genome-scale forward genetic screen for age-associated neurodegeneration in drosoph.la. We also measured proteomics, ph.sph.proteomics, and metabolomics in drosoph.la models of Alzheimer’s disease and identified Alzheimer’s genetic variants that modify gene expression in disease-vulnerable neurons in humans. We then used a network model to integrate these data with previously published Alzheimer’s disease proteomics, lipidomics and genomics. Here, we computationally predict and experimentally confirm how HNRNPA2B1 and MEPCE enhance toxicity of the tau protein, a pathological feature of Alzheimer’s disease. Furthermore, we demonstrated that the screen hits CSNK2A1 and NOTCH1 regulate dNA damage in drosoph.la and human stem cell-derived neural progenitor cells. Our study identifies candidate pathways that could be targeted to ameliorate neurodegeneration in Alzheimer’s disease. © The Author(s) 2025.

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