Critical illnesses including sepsis, acute respiratory distress syndromes, ischemic cardiovascular disorders and acute organ injuries are associated with high mortality, morbidity as well as significant health care system expenses. While these diverse conditions require different specific therapeutic approaches, mesenchymal stem/stromal cell (MSCs) are multipotent cells capable of self-renewal, tri-lineage differentiation with a broad range regenerative and immunomodulatory activities, making them attractive for the treatment of critical illness. The therapeutic effects of MSCs have been extensively investigated in several pre-clinical models of critical illness as well as in phase I and II clinical cell therapy trials with mixed results. Whilst these studies have demonstrated the therapeutic potential for MSC therapy in critical illness, optimization for clinical use is an ongoing challenge. MSCs can be readily genetically modified by application of different techniques and tools leading to overexpress or inhibit genes related to their immunomodulatory or regenerative functions. Here we will review recent approaches designed to enhance the therapeutic potential of MSCs with an emphasis on the technology used to generate genetically modified cells, target genes, target diseases and the implication of genetically modified MSCs in cell therapy for critical illness.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363458 | PMC |
http://dx.doi.org/10.1007/s12015-020-10000-1 | DOI Listing |
J Intensive Med
January 2025
Medical Intensive Care Unit, APHP Saint-Louis University Hospital, Paris, France.
Background: Cancer patients who are exposed to sepsis and had previous chemotherapy may have increased severity. Among chemotherapeutic agents, anthracyclines have been associated with cardiac toxicity. Like other chemotherapeutic agents, they may cause endothelial toxicity.
View Article and Find Full Text PDFCureus
December 2024
Emergency Medicine, Christiana Care Health System, Newark, USA.
Introduction: Sepsis remains a prevalent critical illness encountered in emergency departments and intensive care units (ICU), with culture-negative sepsis constituting 30-60% of cases. The effect of culture type on treatment and outcomes remains unclear, and conflicting evidence exists regarding disparities between Gram-positive and Gram-negative infections.
Objective: To further describe and compare characteristics and outcomes of culture-positive versus culture-negative sepsis.
Curr Protein Pept Sci
January 2025
Department of Pharmacy, Panipat Institute of Engineering and Technology, India.
The three-dimensional structure of proteins, achieved through the folding of the nascent polypeptide chain in vivo, is largely facilitated by molecular chaperones, which are crucial for determining protein functionality. In addition to aiding in the folding process, chaperones target misfolded proteins for degradation, acting as a quality control system within the cell. Defective protein folding has been implicated in a wide range of clinical conditions, including neurodegenerative and metabolic disorders.
View Article and Find Full Text PDFBMJ
January 2025
Division of Pulmonary and Critical Care Medicine, Department of Medicine; and Department of Physical Medicine and Rehabilitation. Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Approximately half of critically ill adults experience intensive care unit acquired weakness (ICUAW). Patients who develop ICUAW may have negative outcomes, including longer duration of mechanical ventilation, greater length of stay, and worse mobility, physical functioning, quality of life, and mortality. Early physical rehabilitation interventions have potential for improving ICUAW; however, randomized trials show inconsistent findings on the efficacy of these interventions.
View Article and Find Full Text PDFJ Theor Biol
January 2025
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaan Xi, 710049, PR China. Electronic address:
There are evidence showing that meteorological factors, such as temperature and humidity, have critical effects on transmission of some infectious diseases, while quantifying the influence is challenging. In this study we develop a learning-explaining framework to discover the particular dependence of transmission mechanisms on meteorological factors based on multiple source data. The incidence rate based on the epidemic data and epidemic model is theoretically identified, and meanwhile the practical discovery of particular formula is feasible through deep neural networks (DNN), symbolic regression (SR) and sparse identification of nonlinear dynamics (SINDy).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!