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Correction to: Effects of low-intensity training on the brain and muscle in the congenital muscular dystrophy 1D model

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Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology 2022年第11期43卷 6613页

作者： Clarissa M Comim Jaime A Soares Adriano Alberti Viviane Freiberger Letícia Ventura Paula Dias Aryadnne L Schactae Leoberto R Grigollo Amanda V Steckert Daniel F Martins Rudy J Nodari Junior Mariz Vainzof João Quevedo Research Group in Neurodevelopment of Childhood and Adolescence Laboratory of Experimental Neuroscience Postgraduate Program in Health Sciences University of South Santa Catarina (UNISUL) Avenida Pedra Branca 25 Pedra Branca Palhoça SC 88137‑270 Brazil. Research Group in Neurodevelopment of Childhood and Adolescence Laboratory of Experimental Neuroscience Postgraduate Program in Health Sciences University of South Santa Catarina (UNISUL) Avenida Pedra Branca 25 Pedra Branca Palhoça SC 88137‑270 Brazil. adrianoalberti90@***. Translational Psychiatry Laboratory Graduate Program in Health Sciences University of Southern Santa Catarina (UNESC) Criciúma SC Brazil. Research Department Salus Dermatoglifia Luzerna 89609‑000 Santa Catarina Brazil. Human Genome Research Center Biosciences Institute University of São Paulo São Paulo Brazil. Center of Excellence On Mood Disorders Department of Psychiatry and Behavioral Sciences McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TX USA. Neuroscience Graduate Program The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Houston TX USA. Translational Psychiatry Program Department of Psychiatry and Behavioral Sciences McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TX USA.

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Lineage structure of the human antibody repertoire in response to influenza vaccination

Lineage structure of the human antibody repertoire in respon...

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第五届中美生物医学工程暨海内外生物力学学术研讨会

作者： Ning Jiang Jiankui He Joshua A.Weinstein Lolita Penland Sanae Sasaki Xiao-Song He Patrick C.Wilson Harry B.Greenberg Mark M.Davis Daniel S.Fisher Stephen R.Quake Department of Biomedical Engineering the University of Texas at AustinAustinTXUSA Department of Bioengineering Stanford University School of MedicineStanfordCaliforniaUSA Biophysics Graduate Program Stanford UniversityStanfordCaliforniaUSA Department of Immunology and Microbiology Stanford University School of MedicineStanfordCaliforniaUSA VA Palo Alto Health Care System Palo AltoCaliforniaUSA Department of Medicine Stanford University School of MedicineStanfordCaliforniaUSA Department of Medicine University of Chicago Pritzker School of MedicineChicagoIllinoisUSA Howard Hughes Medical Institute Department of Applied Physics Stanford UniversityStanfordCaliforniaUSA Department of Biology Stanford UniversityStanfordCaliforniaUSA

The adaptive immune system produces a large and diverse set of antibodies,each with an individual evolutionary and clonal *** so called " antibody repertoire" protects each individual against insults such as infection and cancer,and responds to vaccination with B cell proliferation in response to the antigenic *** and antigen-specific FACSbased analysis have given us much insight on how the immune system generates the complex and diverse immune response required to protect the body from the wide variety of potential ***,these methods have not been sufficient to make global and unbiased

关键词： Lineage structure of the human antibody repertoire in response to influenza vaccination

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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

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The Lancet 2020年第10258期396卷 1204-1222页

作者： Abbafati, Cristiana Abbas, Kaja M. Abbasi, Mohammad Abbasifard, Mitra Abbasi-Kangevari, Mohsen Abbastabar, Hedayat Abd-Allah, Foad Abdelalim, Ahmed Abdollahi, Mohammad Abdollahpour, Ibrahim Abedi, Aidin Abedi, Parisa Abegaz, Kedir Hussein Abolhassani, Hassan Abosetugn, Akine Eshete Aboyans, Victor Abrams, Elissa M. Abreu, Lucas Guimarães Abrigo, Michael R.M. Abu Haimed, Abdulaziz Khalid Abualhasan, Ahmed Abu-Gharbieh, Eman Abu-Raddad, Laith Jamal Abushouk, Abdelrahman I. Acebedo, Alyssa Ackerman, Ilana N. Adabi, Maryam Adair, Tim Adamu, Abdu A. Adebayo, Oladimeji M. Adedeji, Isaac Akinkunmi Adekanmbi, Victor Adelson, Jaimie D. Adeoye, Abiodun Moshood Adetokunboh, Olatunji O. Adham, Davoud Advani, Shailesh M. Afarideh, Mohsen Afshari, Mahdi Afshin, Ashkan Agardh, Emilie E. Agarwal, Gina Agasthi, Pradyumna Agesa, Kareha M. Aghaali, Mohammad Aghamir, Seyed Mohammad Kazem Agrawal, Anurag Ahmad, Tauseef Ahmadi, Alireza Ahmadi, Keivan Ahmadi, Mehdi Ahmadieh, Hamid Ahmadpour, Ehsan Ahmed, Muktar Beshir Aji, Budi Akalu, Temesgen Yihunie Akinyemi, Rufus Olusola Akinyemiju, Tomi Akombi, Blessing Akunna, Chisom Joyqueenet Alahdab, Fares Al-Aly, Ziyad Alam, Khurshid Alam, Noore Alam, Samiah Alam, Tahiya Alanezi, Fahad Mashhour Alanzi, Turki M. Albertson, Samuel B. Alcalde-Rabanal, Jacqueline Elizabeth Alema, Niguse Meles Alemu, Biresaw Wassihun Alemu, Yihun Mulugeta Alhabib, Khalid F. Alhassan, Robert Kaba Ali, Muhammad Ali, Saqib Alicandro, Gianfranco Alijanzadeh, Mehran Alinia, Cyrus Alipour, Vahid Alizade, Hesam Aljunid, Syed Mohamed Alla, François Allebeck, Peter Almadi, Majid Abdulrahman Hamad Almasi, Ali Almasi-Hashiani, Amir Almasri, Nihad A. Al-Mekhlafi, Hesham M. Almulhim, Abdulaziz M. Alonso, Jordi Al-Raddadi, Rajaa M. Altirkawi, Khalid A. Alumran, Arwa Khalid Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Amare, Bekalu Amini, Saeed Amini-Rarani, Mostafa Aminorroaya, Arya Amiri, Fatemeh Amit, Arianna Maever L. Amugsi, Dickson A. Amul, Gianna Gayle Herrera Anbesu, Etsay Woldu Ancuceanu, Robert Anderl Department of Juridical and Economic Studies La Sapienza University Rome Italy Department of Infectious Disease Epidemiology London School of Hygiene and Tropical Medicine London United Kingdom Social Determinants of Health Research Center Tehran Iran Department of Neurology Cairo University Cairo Egypt School of Pharmacy Tehran Iran The Institute of Pharmaceutical Sciences (TIPS) Tehran Iran Neuroscience Research Center Isfahan University of Medical Sciences Isfahan Iran Biostatistics Department Near East University Nicosia Cyprus Biostatistics and Health Informatics Madda Walabu University Bale Robe Ethiopia Research Center for Immunodeficiencies Tehran Iran Karolinska University Hospital Huddinge Sweden Department of Cardiology Dupuytren University Hospital Limoges France University of Limoges Limoges France Department of Pediatric Dentistry Federal University of Minas Gerais Belo Horizonte Brazil Department of Research Philippine Institute for Development Studies Quezon City Philippines Department of Healthcare Policy and Research Weill Cornell Medical College in Qatar Doha Qatar Harvard Medical School Boston MA United States Department of Medicine Ain Shams University Cairo Egypt Hamadan University of Medical Sciences Hamadan Iran School of Medicine Cardiff University Cardiff United Kingdom School of Laboratory Medicine and Science University College Hospital Ibadan Ibadan Nigeria Institute of Cardiovascular Diseases University of Ibadan Ibadan Nigeria Centre of Excellence for Epidemiological Modelling and Analysis Stellenbosch University Cape Town South Africa Department of Global Health Stellenbosch University Cape Town South Africa School of Health Ardabil University of Medical Science Ardabil Iran Social Behavioral Research Branch National Institute of Health Bethesda MD United States Department of Oncology Georgetown University Washington DC DC United States Department of Health Metrics Sciences School of Medicine Seattle WA

Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw value

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SHORT PHYSICAL PERFORMANCE BATTERY AS A PREDICTOR OF MORTALITY AMONG OLDER ADULTS: SYSTEMATIC REVIEW WITH META-ANALYSIS

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Brazilian Journal of Physical Therapy 2024年 28卷 100681-100681页

作者： Silva, Caroline de Fátima Ribeiro Pereira, Larissa do Nascimento Ohara, Daniela Gonçalves Matos, Areolino Pena Pinto, Ana Carolina Pereira Nunes Pegorari, Maycon Sousa Physiotherapy Course Universidade Federal do Amapá (UNIFAP) Macapá Amapá Brazil Department of Applied Physiotherapy Universidade Federal do Triângulo Mineiro (UFTM) Uberaba Minas Gerais Brazil Physiotherapy Course Post-Graduate Health Sciences Program Universidade Federal do Amapá (UNIFAP) Macapá Amapá Brazil

BackgroundPhysical performance is an essential component in the clinical assessment among older adults, and its decline as assessed by the Short Physical Performance Battery (SPPB) is associated with increased risk for hospitalization, institutionalization, falls, and disability. Although a SPPB score <10 seems to be predictive of mortality, according to previous studies, the cutoff values are heterogeneous, which makes it difficult to really know the predictive power of SPPB for mortality and the magnitude of the increase in the probability of death as the score decreases. ObjectivesTo analyze the predictive power of SPPB for mortality among older adults due to a systematic review with meta-analysis. MethodsSystematic review with meta-analysis, prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA-P) recommendation, registered in the International Prospective Register of Systematic Reviews - Prospero (CRD42021256040). Prospective and retrospective longitudinal studies conducted with individuals aged 60 years or older were included, considering publications in full text, abstracts, and any identified unpublished data. The search was performed in the following databases with no language or date restrictions: MEDLINE via PubMed, Embase, Latin American and Caribbean Literature on health Sciences (LILACS), Physiotand herapy Evidence Database (PEDro). The risk of bias was analyzed using the Quality in Prognosis (QUIPS) tool. For the meta-analysis, R software with the " meta" package (version 4.9-6), the " metaprop" function for proportion data and the " metamean" function for continuous data was used. Pooled results of proportion and means (continuous data) with their respective 95% confidence intervals (CI) were obtained using the inverse variance method with a random effects model. Heterogeneity was assessed by calculating i2. Values greater than 50% were considered substantial heterogeneity. ResultsMeta-analysis including

关键词： Aged Mortality Physical Functional Performance

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Erratum to: Serum HMGB1 concentrations at 4 weeks is a useful predictor of extreme poor prognosis for advanced hepatocellular carcinoma treated with sorafenib and hepatic arterial infusion chemotherapy

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Journal of gastroenterology 2018年第1期53卷 161-162页

作者： Kazuhiko Masuda Atsushi Ono Hiroshi Aikata Tomokazu Kawaoka C Nelson Hayes Yuji Teraoka Kana Daijo Yuki Nakamura-Inagaki Kei Morio Hatsue Fujino Hiromi Kan Takuro Uchida Keiichi Masaki Tomoki Kobayashi Takashi Nakahara Grace Naswa Makokha Yizhou Zhang Yuko Nagaoki Daiki Miki Masataka Tsuge Akira Hiramatsu Michio Imamura Hiromi Abe-Chayama Yoshiiku Kawakami Hidenori Ochi Kazuaki Chayama Department of Gastroenterology and Metabolism Applied Life Science Institute of Biomedical and Health Science Hiroshima University 1-2-3 Kasumi Minami-ku Hiroshima 734-8551 Japan. masu6743@hiroshima-u.ac.jp. Department of Gastroenterology and Metabolism Applied Life Science Institute of Biomedical and Health Science Hiroshima University 1-2-3 Kasumi Minami-ku Hiroshima 734-8551 Japan. atsushi-o@hiroshima-u.ac.jp. Liver Research Project Center Hiroshima University Hiroshima Japan. atsushi-o@hiroshima-u.ac.jp. Laboratory for Digestive Diseases Center for Genomic Medicine The Institute of Physical and Chemical Research (RIKEN) Hiroshima Japan. atsushi-o@hiroshima-u.ac.jp. Division of Liver Diseases Department of Medicine Liver Cancer Program Tisch Cancer Institute Graduate School of Biomedical Sciences Icahn School of Medicine at Mount Sinai 1470 Madison Ave Box 1123 New York NY 10029 USA. atsushi-o@hiroshima-u.ac.jp. Department of Gastroenterology and Metabolism Applied Life Science Institute of Biomedical and Health Science Hiroshima University 1-2-3 Kasumi Minami-ku Hiroshima 734-8551 Japan. Liver Research Project Center Hiroshima University Hiroshima Japan. Laboratory for Digestive Diseases Center for Genomic Medicine The Institute of Physical and Chemical Research (RIKEN) Hiroshima Japan.

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Linguistic and content validity of the patient-generated subjective global assessment translated and culturally adapted to the Brazilian setting: A multicenter study

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Clinical Nutrition 2018年 37卷 S230-S230页

作者： M.C. Gonzalez S.P. Orlandi F.D. Ottery H. Jager-Wittenaar Post-graduate Program in Health and Behavior Catholic Univeristy of Pelotas Brazil Nutrition College Federal University of Pelotas Pelotas Brazil Research Group Healthy Ageing Hanze University of Applied Sciences Groningen Netherlands Ottery & Associates Vernon Hills United States Department of Maxillofacial Surgery University Medical Center Groningen Groningen Netherlands

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A rapid and sensitive analytical methodology for the simultaneous biomonitoring of two direct oral anticoagulant drugs and their major metabolites in thromboembolic disordered patients samples for clinical evaluations

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Journal of Chromatography A 2024年 1717卷 464689页

作者： Prakasham, Karthikeyan Pan, Tzu-Yu Tan, Chun-Hsiang Wu, Chia-Fang Chandra, Pranjal Cheng, Ching-Mei Chen, Wei Tsai, Wei-Chung Ponnusamy, Vinoth Kumar Wu, Ming-Tsang Research Center for Precision Environmental Medicine Kaohsiung Medical University Kaohsiung City Taiwan Ph.D. Program in Environmental and Occupational Medicine College of Medicine Kaohsiung Medical University Kaohsiung City Taiwan Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung City Taiwan Graduate Institute of Clinical Medicine College of Medicine Kaohsiung Medical University Kaohsiung City Taiwan Department of Family Medicine Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung City Taiwan International Master Program of Translational Medicine National United University Taiwan Varanasi Varanasi221005 India Department of Laboratory Medicine Kaohsiung Municipal Hsiao-Kang Hospital Kaohsiung City Taiwan Department of Public Health Kaohsiung Medical University Kaohsiung City Taiwan Division of Cardiology Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung City Taiwan Faculty of Medicine College of Medicine Kaohsiung Medical University Taiwan Department of Medicinal and Applied Chemistry Kaohsiung Medical University Kaohsiung City-807 Taiwan Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung City Taiwan

Apixaban and dabigatran are the two major direct oral anticoagulant drugs to treat thromboembolic disordered patients. Increasing the clinical application for the thromboembolic disorder and monitoring the concentrations of apixaban, dabigatran, and their metabolites are essential in most clinical circumstances. In this work, we developed a rapid analytical methodology comprising of vortex-assisted salt-enhanced liquid-liquid microextraction technique coupled with UHPLC-MS/MS for the extraction and simultaneous determination of two major direct oral anticoagulant drugs (apixaban, dabigatran), and their two major metabolites from plasma, serum, and urine samples of patients. The developed method was optimized with various procedural steps and validated to study the analytical merits. The developed method yielded a good detection limit of 0.01 ∼ 0.37 ng/mL, 0.01 ∼ 0.32 ng/ml, and 0.01 ∼ 0.27 ng/mL for four target analytes in the plasma, serum, and urine matrices. Moreover, extraction recoveries ranged from 85.11 – 113.57% (for plasma), 89.63 – 110.47% (for serum), and 87.44 –106.79% (for urine samples) with 8.78% RSD. In addition, the method exhibited good R2 values of 0.999 for all four target analytes, and the specificity and carryover study revealed no carryover effect from the UHPLC-MS/MS system for determining the apixaban, dabigatran, and their metabolites. Due to the above advantages, the developed analytical technique was applied to examine 11 real-time clinical patients’ samples, and the observed results were satisfactory for all three different sample matrices. Therefore, this analytical method can be applied for biomonitoring apixaban, dabigatran, and their two major metabolites with high sensitivity in a short time for various clinical applications. © 2024 Elsevier B.V.

关键词： Metabolites

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Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants

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Science (New York, N.Y.) 2025年第6734期387卷 eadp4753页

作者： Liu, Hongbo Abedini, Amin Ha, Eunji Ma, Ziyuan Sheng, Xin Dumoulin, Bernhard Qiu, Chengxiang Aranyi, Tamas Li, Shen Dittrich, Nicole Chen, Hua-Chang Tao, Ran Tarng, Der-Cherng Hsieh, Feng-Jen Chen, Shih-Ann Yang, Shun-Fa Lee, Mei-Yueh Kwok, Pui-Yan Wu, Jer-Yuarn Chen, Chien-Hsiun Khan, Atlas Limdi, Nita A. Wei, Wei-Qi Walunas, Theresa L. Karlson, Elizabeth W. Kenny, Eimear E. Luo, Yuan Kottyan, Leah Connolly, John J. Jarvik, Gail P. Weng, Chunhua Shang, Ning Cole, Joanne B. Mercader, Josep M. Mandla, Ravi Majarian, Timothy D. Florez, Jose C. Haas, Mary E. Lotta, Luca A. Drivas, Theodore G. Vy, Ha My T Nadkarni, Girish N. Wiley, Laura K. Wilson, Melissa P. Gignoux, Christopher R. Rasheed, Humaira Thomas, Laurent F. Åsvold, Bjørn Olav Brumpton, Ben M. Hallan, Stein I. Hveem, Kristian Zheng, Jie Hellwege, Jacklyn N. Zawistowski, Matthew Zöllner, Sebastian Franceschini, Nora Hu, Hailong Zhou, Jianfu Kiryluk, Krzysztof Ritchie, Marylyn D. Palmer, Matthew Edwards, Todd L. Voight, Benjamin F. Hung, Adriana M. Susztak, Katalin Department of Medicine Renal Electrolyte and Hypertension Division University of Pennsylvania Philadelphia PA United States Institute of Diabetes Obesity and Metabolism University of Pennsylvania Philadelphia PA United States Department of Genetics University of Pennsylvania Philadelphia PA United States Penn-CHOP Kidney Innovation Center University of Pennsylvania Philadelphia PA United States Liangzhu Laboratory Zhejiang University 1369 West Wenyi Road Hangzhou Zhejiang China Department of Nephrology Children' Hospital Zhejiang University School of Medicine National Clinical Research Center for Child Health Hangzhou Zhejiang China Institute of Molecular Life Sciences HUN-REN Research Center for Natural Sciences Budapest Hungary Department of Molecular Biology Semmelweis University Budapest Hungary Department of Medicine Federal University of São Paulo São Paulo Brazil Department of Biostatistics Vanderbilt University Medical Center Nashville TN United States Vanderbilt Genetics Institute Vanderbilt University Medical Center Nashville TN United States Institute of Clinical Medicine School of Medicine National Yang Ming Chiao Tung University ROC Taipei Taiwan Division of Nephrology Department of Medicine Taipei Veterans General Hospital ROC Taipei Taiwan Institute of Biomedical Sciences Academia Sinica ROC Taipei Taiwan Cardiovascular Center Taichung Veterans General Hospital Taichung Taiwan ROC National Chung Hsing University Taichung Taiwan ROC Heart Rhythm Center Division of Cardiology Department of Medicine Taipei Veterans General Hospital ROC Taipei Taiwan Department of Internal Medicine College of Medicine National Yang Ming Chiao Tung University ROC Taipei Taiwan Institute of Medicine Chung Shan Medical University Taichung Taiwan ROC Department of Medical Research Chung Shan Medical University Hospital Taichung Taiwan ROC Division of Endocrinology and Metabolism Department of Internal Medicine Kaohsiung Medical Universit

Kidney dysfunction is a major cause of mortality, but its genetic architecture remains elusive. In this study, we conducted a multiancestry genome-wide association study in 2.2 million individuals and identified 1026 (97 previously unknown) independent loci. Ancestry-specific analysis indicated an attenuation of newly identified signals on common variants in European ancestry populations and the power of population diversity for further discoveries. We defined genotype effects on allele-specific gene expression and regulatory circuitries in more than 700 human kidneys and 237,000 cells. We found 1363 coding variants disrupting 782 genes, with 601 genes also targeted by regulatory variants and convergence in 161 genes. Integrating 32 types of genetic information, we present the "Kidney Disease Genetic Scorecard" for prioritizing potentially causal genes, cell types, and druggable targets for kidney disease.

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Surveillance of avian influenza through bird guano in remote regions of the global south to uncover transmission dynamics

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Nature communications 2025年第1期16卷 4900页

作者： Dhammika Leshan Wannigama Mohan Amarasiri Phatthranit Phattharapornjaroen Cameron Hurst Charin Modchang John Jefferson V Besa Kazuhiko Miyanaga Longzhu Cui Stefan Fernandez Angkana T Huang Puey Ounjai W K C P Werawatte Ali Hosseini Rad S M Porames Vatanaprasan Dylan John Jay Thammakorn Saethang Sirirat Luk-In Phitsanuruk Kanthawee Wanwara Thuptimdang Ratana Tacharoenmuang Bernadina Cynthia S P H Spencer Vitharana Natharin Ngamwongsatit Hitoshi Ishikawa Takashi Furukawa Yangzhong Wang Andrew C Singer Naveen Kumar Devanga Ragupathi Tanittha Chatsuwan Kazunari Sei Asuka Nanbo Asada Leelahavanichkul Talerngsak Kanjanabuch Hiroshi Hamamoto Paul G Higgins Daisuke Sano Anthony Kicic José O Valdebenito Jonas Bonnedahl Sam Trowsdale Parichart Hongsing Aisha Khatib Kenji Shibuya Shuichi Abe Department of Infectious Diseases Faculty of Medicine Yamagata University Yamagata Japan. leshanwannigama@med.id.yamagata-u.ac.jp. Department of Infectious Diseases and Infection Control Yamagata Prefectural Central Hospital Yamagata Japan. leshanwannigama@med.id.yamagata-u.ac.jp. Pathogen Hunter's Research Collaborative Team Department of Infectious Diseases and Infection Control Yamagata Prefectural Central Hospital Yamagata Japan. leshanwannigama@med.id.yamagata-u.ac.jp. Yamagata Prefectural University of Health Sciences Kamiyanagi Yamagata Japan. leshanwannigama@med.id.yamagata-u.ac.jp. The Lygodium Ceylon Health and Environmental Policy Research Center Colombo Sri Lanka. leshanwannigama@med.id.yamagata-u.ac.jp. Biofilms and Antimicrobial Resistance Consortium of ODA receiving countries The University of Sheffield Sheffield UK. leshanwannigama@med.id.yamagata-u.ac.jp. Pathogen Hunter's Research Collaborative Team Department of Infectious Diseases and Infection Control Yamagata Prefectural Central Hospital Yamagata Japan. Department of Civil and Environmental Engineering Graduate School of Engineering Tohoku University Sendai Miyagi Japan. Faculty of Health Science Technology Chulabhorn Royal Academy Bangkok Thailand. HRH Princess Chulabhorn Disaster and Emergency Medicine Center Chulabhorn Royal Academy Bangkok Thailand. Department of Clinical Epidemiology Faculty of Medicine Thammasat University Rangsit Thailand. Center of Excellence in Applied Epidemiology Thammasat University Rangsit Thailand. Mater Research Institute University of Queensland Brisbane QLD Australia. Biophysics Group Department of Physics Faculty of Science Mahidol University Bangkok Thailand. Centre of Excellence in Mathematics MHESI Bangkok Thailand. Thailand Center of Excellence in Physics Ministry of Higher Education Science Research and Innovation Bangkok Thailand. Department of Infectious Diseases and Infection Control Yamagata Prefectural Central Hospital Yamagata Japan. Co

Avian influenza viruses (AIVs) pose a growing global health threat, particularly in low- and middle-income countries (LMICs), where limited surveillance capacity and under-resourced healthcare systems hinder timely detection and response. Migratory birds play a significant role in the transboundary spread of AIVs, yet data from key regions along migratory flyways remain sparse. To address these surveillance gaps, we conducted a study between December 2021 and February 2023 using fresh bird guano collected across 10 countries in the Global South. Here, we show that remote, uninhabited regions in previously unsampled areas harbor a high diversity of AIV strains, with H5N1 emerging as the most prevalent. Some of these H5N1 samples also carry mutations that may make them less responsive to the antiviral drug oseltamivir. Our findings documented the presence of AIVs in several underrepresented regions and highlighted critical transmission hotspots where viral evolution may be accelerating. These results underscore the urgent need for geographically targeted surveillance to detect emerging variants, inform public health interventions, and reduce the risk of zoonotic spillover.

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Multimodal Whole Slide Foundation Model for Pathology

arXiv

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arXiv 2024年

作者： Ding, Tong Wagner, Sophia J. Song, Andrew H. Chen, Richard J. Lu, Ming Y. Zhang, Andrew Vaidya, Anurag J. Jaume, Guillaume Shaban, Muhammad Kim, Ahrong Williamson, Drew F.K. Chen, Bowen Almagro-Perez, Cristina Doucet, Paul Sahai, Sharifa Chen, Chengkuan Komura, Daisuke Kawabe, Akihiro Ishikawa, Shumpei Gerber, Georg Peng, Tingying Le, Long Phi Mahmood, Faisal Department of Pathology Mass General Brigham Harvard Medical School BostonMA United States Data Science Program Dana-Farber Cancer Institute BostonMA United States Cancer Program Broad Institute of Harvard and MIT CambridgeMA United States John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA United States Helmholtz Munich German Research Center for Environment and Health Munich Germany School of Computation Information and Technology Technical University of Munich Munich Germany Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States Department of Pathology Pusan National University Busan Korea Republic of Department of Pathology and Laboratory Medicine Emory University School of Medicine AtlantaGA United States Harvard Data Science Initiative Harvard University CambridgeMA United States Department of Systems Biology Harvard Medical School BostonMA United States Department of Preventive Medicine Graduate School of Medicine The University of Tokyo Tokyo Japan Division of Pathology National Cancer Center Exploratory Oncology Research & Clinical Trial Center Chiba Japan

The field of computational pathology has been transformed with recent advances in foundation models that encode histopathology region-of-interests (ROIs) into versatile and transferable feature representations via self-supervised learning (SSL). However, translating these advancements to address complex clinical challenges at the patient and slide level remains constrained by limited clinical data in disease-specific cohorts, especially for rare clinical conditions. We propose TITAN, a multimodal whole slide foundation model pretrained using 335,645 WSIs via visual self-supervised learning and vision-language alignment with corresponding pathology reports and 423,122 synthetic captions generated from a multimodal generative AI copilot for pathology. Without any finetuning or requiring clinical labels, TITAN can extract general-purpose slide representations and generate pathology reports that generalize to resource-limited clinical scenarios such as rare disease retrieval and cancer prognosis. We evaluate TITAN on diverse clinical tasks and find that TITAN outperforms both ROI and slide foundation models across machine learning settings such as linear probing, few-shot and zero-shot classification, rare cancer retrieval and cross-modal retrieval, and pathology report generation. The model is publicly accessible at https://***/mahmoodlab/TITAN © 2024, CC BY-NC-ND.

关键词： Self-supervised learning

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