Results 171 to 180 of about 1,366,391 (310)

Diaphragmatic-derived extracellular matrix patch exerts a positive long lasting effect on myogenic regeneration and nerve attraction when used in a surgical mouse model of diaphragmatic hernia

, 2018
Treatment of large defect in congenital diaphragmatic hernia (CDH) remains a challenge. Engineered muscle tissue may help limiting the recurrence risks related to the available patches.
Arben Dedja, Edoardo Maghin, Paola Caccin, Michela Pozzobon, Luca Urbani, Chiara Franzin, Niccolò de Cesare, Martina Piccoli, Piero Pavan, Caterina Trevisan, Paolo De Coppi   +10 more
core  

Mechanisms of Impaired Skeletal Muscle Regeneration and Therapeutic Approaches in Aging and Chronic Disease. [PDF]

Pharmaceuticals (Basel)
Li X, Zhao Z, Yang J, Zhang Y, Yao X, Sun H, Shen Y.   +6 more
europepmc   +1 more source

SPSB1 Promotes Subcutaneous Adipose Hyperplasia in Facial Port‐Wine Stains by Controlling HDAC1 Degradation and Stability Through Two Distinct Proteolytic Pathways

Advanced Science, EarlyView.
In PWS‐ASPCs, FOSL1 drives the expression of SPSB1. SPSB1, as part of the ESC complex, further binds to HDAC1 and promotes K29‐linked and K48‐linked polyubiquitination of HDAC1. These modifications facilitate the degradation of HDAC1 through the ALP and UPS pathways, respectively.
Hongrui Chen, Bin Sun, Yajing Qiu, Chen Hua, Xiaoxi Lin, Wei Gao   +5 more
wiley   +1 more source

Multifunctional PDGF Nanofiber and MnCe Nanozyme-Incorporated Composite Hydrogel for Enhanced Skeletal Muscle Regeneration. [PDF]

Small
Xu K, Pan J, Li M, Wei X, Xia W, Liu B, Ge M, Wang X, Shuai Q.   +8 more
europepmc   +1 more source

UCtracker: A Deep Learning–Based DNA Methylation Model for Noninvasive Diagnosis and Recurrence Surveillance of Urothelial Carcinoma in a Prospective Study

Advanced Science, EarlyView.
We developed UCtracker, a urine DNA methylation–based deep learning model, for noninvasive diagnosis and postoperative surveillance of urothelial carcinoma. UCtracker demonstrates high diagnostic accuracy, robustness at ultralow sequencing depth, early recurrence detection, and dynamic risk‐stratified monitoring of molecular residual disease ...
Shengwei Xiong, Gaojie Li, Yucai Wu, Yuan Liang, Heng Guo, Yu Zhang, Gengyan Xiong, Long Tian, Xin Zhang, Ye Tian, Zhengguo Ji, Bin Guo, Yue Shi, Jian Fan, Zhihua Li, Yanqing Gong, Shiming He, Xuesong Li, Weimin Ci, Liqun Zhou   +19 more
wiley   +1 more source

Cardiac muscle regeneration

, 1982
This study analyzed the regenerative ability of cardiac muscle in the rat. Normal cardiac muscle from the rat was minced into one mm 3 fragments and homotransplanted into a gastrocnemius cavity of a non-sibling rat.
Metzger, Joseph M.
core  

ChREBP Is Dispensable for Myofiber Type Switch but Promotes Skeletal Muscle Regeneration. [PDF]

Nutrients
Lu J, Chen J, Zhang G, Ma H, Sun P, Wang C, Yu X, Feng K, Wang C, Hu C, Chen X, Li W.   +11 more
europepmc   +1 more source

Ultrasound‐Activated Piezoelectric Neuroimmune Hydrogel Orchestrates Neurogenesis‐Macrophage Crosstalk in Diabetic Wound Healing

Advanced Science, EarlyView.
In this work, we design an ultrasound‐activated piezoelectric hydrogel platform (AOEF@AP5+US) that reprograms neurogenesis‐macrophage crosstalk as an integrated strategy to overcome the intertwined barriers of chronic inflammation, peripheral neuropathy, and impaired regeneration in diabetic wounds.
Kai Wang, Shaowen Zhuo, Binyu Song, Jinan Chen, Xin Zhao, Sijia Li, Shuang You, Dong Jiang, Yuedong Chen, Juanli Dang, Tong Wang, Baolin Guo, Zhou Yu, Baoqiang Song   +13 more
wiley   +1 more source

Regenerative Index: a method to assess muscle regeneration in patients with Duchenne muscular dystrophy. [PDF]

Skelet Muscle
Smid JK, McPherson CA, Monast JG, Rayagiri SSS, Moore SA, Rudnicki MA.   +5 more
europepmc   +1 more source

Pasta, a Versatile Transcriptomic Clock, Maps the Chemical and Genetic Determinants of Aging and Rejuvenation

Advanced Science, EarlyView.
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon, Maria Tsiokou, Patricia Marqués, Enriqueta Rodríguez‐Diaz, Hazel Ang, Federico Pietrocola, Christian G. Riedel   +6 more
wiley   +1 more source