Results 71 to 80 of about 2,031,859 (234)

Investigating the Cellular Effects of GALC Dosing in Enzyme Replacement Therapy for Krabbe Disease Supports the Role of Nanomedicine

Advanced Biology, EarlyView.
A detailed workflow for recombinant GALC production and characterization is presented to support enzyme replacement therapy for Krabbe disease. In vitro assays demonstrate that physiological GALC doses restore enzymatic activity and autophagic flux without affecting cell viability, whereas higher doses impair autophagy and reduce viability.
Ambra Del Grosso, Sara Carpi, Laura Colagiorgio, Miriam De Sarlo, Mariacristina Gagliardi, Marco Cecchini   +5 more
wiley   +1 more source

Adipose Mesenchymal Stem Cell‐Derived Exosomes in Conjunction with Roflumilast Ameliorate Chronic Kidney Disease Through the Modulation of Fibrosis and Inflammation

Advanced Biology, EarlyView.
The novelty of this study showed that the injection of exosomes produced from ADMSCs in combination with Roflumilast poses a more favorable therapeutic outcome for CKD induced by Adriamycin, compared to therapy with exosomes or Roflumilast alone. Roflumilast and exosomes treatment lowered the expression of the apoptotic, fibrotic, and inflammatory ...
Mohamed Ali, Mohamed H. Sherif, Nashwa Barakat, Bassant Yahia, Ahmed A. Shokeir, Basel Sitohy   +5 more
wiley   +1 more source

Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

The Lancet, 2020
Boris Caroline A Andrew S Mari Amir Molla Oladimeji M Mo Bikbov Purcell Levey Smith Abdoli Abebe Adebayo Af, B. Bikbov, Caroline A. Purcell, A. Levey, Mari Smith, Amir Abdoli, Molla Abebe, O. Adebayo, M. Afarideh, Sachin Agarwal, Marcela Agudelo-Botero, E. Ahmadian, Z. Al-Aly, V. Alipour, A. Almasi-Hashiani, Rajaa Al-Raddadi, N. Alvis-Guzmán, S. Amini, Tudorel Andrei, C. Andrei, Zewudu Andualem, Mina Anjomshoa, J. Arabloo, A. Ashagre, Daniel Asmelash, Z. Ataro, Maha Moh’d Wahbi Atout, M. Ayanore, A. Badawi, A. Bakhtiari, S. Ballew, A. Balouchi, Maciej Banach, S. Barquera, Sanjay Basu, Mulat Tirfie Bayih, Neeraj Bedi, A. Bello, I. Benseñor, Ali Bijani, A. Boloor, A. Borzì, L. Cámera, J. Carrero, F. Carvalho, Franz Castro, F. Catalá-López, Alex R. Chang, K. Chin, Sheng-Chia Chung, Massimo Cirillo, Ewerton Cousin, L. Dandona, R. Dandona, A. Daryani, R. Das Gupta, F. M. Demeke, Gebre Teklemariam Demoz, Desilu Mahari Desta, H. Do, B. Duncan, A. Eftekhari, A. Esteghamati, S. S. Fatima, João Fernandes, E. Fernandes, F. Fischer, M. Freitas, M. Gad, Gebreamlak Gebremedhn Gebremeskel, B. M. Gebresillassie, Birhanu Geta, M. Ghafourifard, A. Ghajar, N. Ghith, P. Gill, I. Ginawi, R. Gupta, N. Hafezi-Nejad, Arvin Haj-Mirzaian, A. Haj-Mirzaian, Ninuk Hariyani, M. Hasan, Milad Hasankhani, A. Hasanzadeh, H. Y. Hassen, Simon Iain Hay, B. Heidari, C. Herteliu, C. L. Hoang, M. Hosseini, M. Hostiuc, S. Irvani, S. Islam, Nader Jafari Balalami, S. James, S. Jassal, V. Jha, J. Jonas, F. Joukar, J. Jozwiak, Alia Kabir, Amaha Kahsay, A. Kasaeian, T. Kassa, Hagazi Gebremedhin Kassaye, Yousef S. Khader, Rovshan Khalilov, E. Khan, M. S. Khan, Y. Khang, A. Kisa, C. Kovesdy, B. Kuate Defo, G. Kumar, A. Larsson, L. Lim, Alan D. Lopez, P. Lotufo, A. Majeed, R. Malekzadeh, Winfried März, Anthony Masaka, H. Meheretu, T. Miazgowski, Andreea Mirica, E. Mirrakhimov, P. Mithra, B. Moazen, D. K. Mohammad, R. Mohammadpourhodki, S. Mohammed, A. Mokdad, Linda Morales, Ilais Moreno Velásquez, Seyyed Meysam Mousavi, S. Mukhopadhyay, J. Nachega, Girish N. Nadkarni, J. R. Nansseu, G. Natarajan, J. Nazari, B. Neal, R. Negoi, C. Nguyen, Rajan Nikbakhsh, J. Noubiap, C. Nowak, A. Olagunju, Alberto Ortiz, M. Owolabi, R. Palladino, M. Pathak, H. Poustchi, S. Prakash, N. Prasad, A. Rafiei, S. Raju, K. Ramezanzadeh, S. Rawaf, D. Rawaf, Lal B Rawal, R. Reiner, A. Rezapour, D. Ribeiro, L. Roever, D. Rothenbacher, Godfrey M. Rwegerera, Seyedmohammad Saadatagah, Saeed Safari, B. Sahle, Hosni Salem, J. Sanabria, I. Santos, A. Sarveazad, M. Sawhney, E. Schaeffner, M.I. Schmidt, A. Schutte, S. Sepanlou, M. Shaikh, Z. Sharafi, M. Sharif, Amrollah Sharifi, D. Silva, Jasvinder A. Singh, N. P. Singh, M. M. Sisay, A. Soheili, I. Sutradhar, B. Teklehaimanot, B. E. Tesfay, Getnet Teshome, J. Thakur, M. Tonelli, Khanh B. Tran, B. Tran, Candide Tran Ngoc, I. Ullah, Pascual Valdez, S. Varughese, T. Vos, L. G. Vu, Yasir Waheed, A. Werdecker, H. F. Wolde, A. Wondmieneh, Sarah Wulf Hanson, Tomohide Yamada, Yigizie Yeshaw, N. Yonemoto, H. Yusefzadeh, Z. Zaidi, Leila Zaki, S. Zaman, N. Zamora, A. Zarghi, Kaleab Alemayehu Zewdie, J. Ärnlöv, J. Coresh, N. Perico, G. Remuzzi, C. Murray, T. Vos   +223 more
semanticscholar   +1 more source

Extracorporeal Catalytic Hemoperfusion Therapy for Refractory Septic Shock Using Ceria Nanoparticle‐Embedded Porous Microbeads

Advanced Functional Materials, EarlyView.
This study introduces an extracorporeal hemoperfusion system incorporating porous microbeads embedded with autocatalytic ceria nanoparticles (CeNPs) for targeted reactive oxygen species (ROS) scavenging in septic shock. The blood‐compatible hemoperfusion cartridge demonstrated significant improvements in survival, hemodynamic stability, and organ ...
Pilseon Im, Han‐Gil Jeong, Donghee Kim, Jimin Song, Ngoc Man Phan, Eun‐seo Choi, Young‐Min Kim, Seo‐Hyeon Jeong, Jooho Park, Inwon Park, Jaeyun Kim   +10 more
wiley   +1 more source

Photothermal Hydrogel with Mn3O4 Nanoparticles Alleviates Intervertebral Disc Degeneration by Scavenging ROS and Regulating Extracellular Matrix Metabolism

Advanced Functional Materials, EarlyView.
The MPTT‐nanozyme‐hydrogel system (Mn3O4@ChS‐HA) provides a multifunctional therapeutic strategy for intervertebral disc degeneration (IVDD), effectively targeting oxidative stress and enhancing AF repair by restoring extracellular matrix (ECM) and redox homeostasis.
Yangyang Chen, Chan Xue, Feifei Ni, Binwu Hu, Miaoheng Yan, He Zhang, Yuxiang Hu, Xiaoyao Peng, Guangfang Li, Yu Han, Hongjian Liu, Zengwu Shao, Qin Wang, Yulong Wei   +13 more
wiley   +1 more source

Imaging of Lipid Droplets in Living Cells and Mice with Metabolic Dysfunction‐Associated Steatotic Liver Disease via a Galactose‐Modified Supramolecular Near‐Infrared Fluorescent Glycoprobe

Advanced Functional Materials, EarlyView.
A galactose‐modified supramolecular near‐infrared (NIR) glycoprobe, TCF‐FBN@Gal‐BSA, enables targeted delivery to the liver through the asialoglycoprotein receptor (ASGPR) and facilitates liver‐targeting fluorescence visualization of lipid droplets (LDs) in metabolic dysfunction‐associated steatotic liver disease (MASLD) mice.
Han‐Min Wang, Lei Dong, Qiu‐Lian Hao, Lu‐Lu Sun, Xin‐Rong Li, Yu‐Wei Yuan, Ming‐Ye Tang, Jin Gong, Yi Zang, Jia Li, Tony D. James, Xiao‐Peng He, Hai‐Hao Han   +12 more
wiley   +1 more source

Advances in Chronic Kidney Disease [PDF]

International Journal of Molecular Sciences, 2016
Chronic kidney disease (CKD) is characterized by renal dysfunction that is present for more than 3 months; it is also associated with a number of comorbidities [1,2].[...]
openaire   +3 more sources

Matrix Tropism Influences Endometriotic Cell Attachment Patterns

Advanced Functional Materials, EarlyView.
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault, Hannah R.C. Kimmel, Alison C. Nunes, Allison L. Paxhia, Sarah Hashim, Kathryn B.H. Clancy, Gregory H. Underhill, Brendan A.C. Harley   +7 more
wiley   +1 more source

KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease.

Kidney International, 2022
P. Rossing, M. L. Caramori, J. Chan, H. Heerspink, Clint Hurst, K. Khunti, A. Liew, E. Michos, S. Navaneethan, W. Olowu, Tami Sadusky, N. Tandon, K. Tuttle, C. Wanner, K. Wilkens, S. Zoungas, I. D. de Boer   +16 more
semanticscholar   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source