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Passos, Joao

Mayo Clinic

Mayo Clinic.

Citations 3

Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity
Lyu, Yu-Xuan, Wilczok, Dominika , Antebi, Adam , Vojta, Aleksandar , Stolzing, Alexandra , Moskalev, Alexey , Georgievskaya, Anastasia , Maier, Andrea B. , Olsen, Andrea, Groth, Anja , Brunet, Anne , Jamil, Aisyah, Kulaga, Anton , Bhatti, A.R., Yaden, Benjamin C., Djordjevic, Boris, Chen, Chieh, Huang, Christine Yuan, Chen, Danica , Sołdacki, Dariusz, Meyer, David H. , Chini, Eduardo N. , Morgen, Eric , Vernet, Erik , Pinilla, Estefano, Mercken, Evi M. , Finger, Fabian , Kuipers, Folkert , Gyülvészi, Gábor, Zmudze, Garri, Blander, Gil , Pincus, Harold A., McClure, Joshua, Kirkland, James L. , Peyer, James , McLaughlin, Jerry L., Mannick, Joan B. , Betts-LaCroix, Joe , Sedivy, John M. , Speakman, John R. , Shlain, Jordan, Maltzahn, Julia von , Andreasson, Katrin I. , Moody, Kelsey , Fortney, Kristen , Niedernhofer, Laura J., Veenhoff, Liesbeth M. , Melton, Lisa , Quarta, Marco , Koval, Maria, Marinova, Maria B., Hamalainen, Mark, Unfried, Maximilian , Ringel, Michael S. , Filipović, Miloš R. , Topors, Mourad, Mitin, Natalia , Roy, N. N., Pintar, Nika, Barzilai, Nir , Binetti, Paolo, Kohlhaas, Paul, Rubin, Paul , Kamya, Petrina, Muñoz‐Cánoves, Pura , Конрад, Р. , Ripa, Roberto , Mansukhani, Robin, Büttner, Sabrina , Brunemeier, Sebastian, Jakimov, Sergey, Rosenzweig‐Lipson, Sharon, Tsai, Shih‐Yin , Rando, Thomas A. , Peterson, Timothy R. , Woods, Tina , Wyss‐Coray, Tony , Finkel, Toren , Strauss, Tzipora , Longo, Valter D. , Sorrentino, Vincenzo , Sebastiano, Vittorio , Li, Wenbin , Suh, Yousin , Niedernhofer, Laura J. , Lu, Yuxuan , Passos, Joao, Niedernhofer, Laura J , Wyss-Coray, Tony , Bakula, Daniela , Lyu, Yu-Xuan, Fu, Qiang , Ying, Kejun , King, Aaron, Olsen, Andrea, Simon, Anna Katharina , Jamil, Aisyah, Bhatti, Asif, Pedersen, Bente Klarlund , Schumacher, Björn , Kennedy, Brian Keith , Huang, Christine Yuan, Correll, Christoph Ulrich , Murphy, Coleen Tara , Ewald, Collin Y. , Valenzano, Dario Riccardo , Erritzøe, David , Sinclair, David , Teeling, Emma C. , Verdin, Eric , Pinilla, Estéfano , Fang, Evandro Fei , Bischof, Evelyne Y. , Pun, Frank W. , Civiletto, Gabriele , Justice, Jamie N. , Vijg, Jan , Gruhn, Jennifer R. , McLaughlin, Jerry, Passos, João F. , Baur, Joseph A. , Shlain, Jordan, Palikaras, Konstantinos , Rasmussen, Lene Juel , Ferrucci, Luigi , Koval, Maria, Topors, Mourad, Roy, Nawal, Pintar, Nika , Singh, Parminder Pal , Robbins, Paul D. , Fedichev, Peter O. , Cabo, Rafael de , Faragher, Richard , Konrad, Rob, Wickström, Sara A. , Brunemeier, Sebastian A., Luo, Shan , Dimmeler, Stefanie , Gladyshev, Vadim N. , Dwaraka, Varun B. , Gorbunova, Vera , Acosta-Rodríguez, Victoria A. , Suh, Yousin , Zhavoronkov, Alex , Scheibye‐Knudsen, Morten

Aging | October 16, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.18632/aging.206135 Get It

3D bioprinting—a model for skin aging
Ansaf, Ryeim B. , Ziebart, Rachel, Torigoe, Rafaela Mayumi Simoes , Victorelli, Stella , Passos, João F. , Wyles, Saranya P. , Gudapati, Hemanth, Simoes Torigoe, Rafaela Mayumi, Passos, Joao, Passos, João F , Ziebart, Rachel L , Gudapati, Hemanth

Regenerative Biomaterials | June 13, 2023 | Volume: 10 | Issue: No issue available | Pages: No page available

10.1093/rb/rbad060 Get It

AbstractHuman lifespan continues to extend as an unprecedented number of people reach their seventh and eighth decades of life, unveiling chronic conditions that affect the older adult. Age-related skin conditions include senile purpura, seborrheic keratoses, pemphigus vulgaris, bullous pemphigoid, diabetic foot wounds and skin cancer. Current methods of drug testing prior to clinical trials require the use of pre-clinical animal models, which are often unable to adequately replicate human skin response. Therefore, a reliable model for aged human skin is needed. The current challenges in developing an aged human skin model include the intrinsic variability in skin architecture from person to person. An ideal skin model would incorporate innate functionality such as sensation, vascularization and regeneration. The advent of 3D bioprinting allows us to create human skin equivalent for use as clinical-grade surgical graft, for drug testing and other needs. In this review, we describe the process of human skin aging and outline the steps to create an aged skin model with 3D bioprinting using skin cells (i.e. keratinocytes, fibroblasts and melanocytes). We also provide an overview of current bioprinted skin models, associated limitations and direction for future research.
Senescent cardiomyocytes contribute to cardiac dysfunction following myocardial infarction.
Redgrave, Rachael E. , Dookun, Emily , Booth, Laura , Folaranm, Omowumi, Tual‐Chalot, Simon , Passos, João F. , Richardson, Gavin D. , Passos, Joao, Richardson, Gavin D , Passos, João F , Gill, Jason H. , Owens, W. Andrew , Spyridopoulos, Ioakim

No container title available | April 10, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2776501/v1 Get It

Abstract Myocardial infarction is a leading cause of morbidity and mortality. While reperfusion is now standard therapy, pathological remodeling leading to heart failure remains a clinical problem. Cellular senescence has been shown to contribute to disease pathophysiology and treatment with the senolytic navitoclax attenuates inflammation, reduces adverse myocardial remodeling and results in improved functional recovery. However, it remains unclear which senescent cell populations contribute to these processes. To identify whether senescent cardiomyocytes contribute to disease pathophysiology post-myocardial infarction, we established a transgenic model in which p16 (CDKN2A) expression was specifically knocked-out in the cardiomyocyte population. Following myocardial infarction, mice lacking cardiomyocyte p16 expression demonstrated no difference in cardiomyocyte hypertrophy but exhibited improved cardiac function and significantly reduced scar size in comparison to control animals. This data demonstrates that senescent cardiomyocytes participate in pathological myocardial remodeling. Importantly, inhibition of cardiomyocyte senescence led to reduced senescence-associated inflammation and decreased senescence-associated markers within other myocardial lineages, consistent with the hypothesis that cardiomyocytes promote pathological remodeling by spreading senescence to other cell-types. Collectively this study presents a novel demonstration that senescent cardiomyocytes are major contributors to myocardial remodeling and dysfunction following a myocardial infarction. Therefore, to maximize the potential for clinical translation, it is important to further understand the mechanisms underlying cardiomyocyte senescence and how to optimize senolytic strategies to target this cell lineage.