Combination of Callyspongia sp. and Stem Cells for Wound Repair and Skin Regeneration: in Vivo and in Silico Evidences.
Eman Maher ZahranMiada F AbdelwahabReham H MohyeldinOmar Y TammamNehad M Reda Abdel-MaqsoudFaisal H AltemaniNaseh A AlgehainyMohammed A AlanaziMohammed M JalalMahmoud A ElrehanyGerhard BringmannUsama Ramadan AbdelmohsenPublished in: Chemistry & biodiversity (2024)
Delayed healing of chronic wounds results in amputation and mortality rates in serious cases. The present study examines the merged wound-restorative efficacy of injectable bone marrow-derived mesenchymal stem cells (BMMSCs) and topical Callyspongia sp. extract in immunocompromised rats. HR-LC-MS analysis of Callyspongia sp. extract tentatively identified twenty-nine compounds (1-29) and highlighted its richness in fatty acids and terpenoids, known for their wound regenerating efficacies. The wound closure was greatly prominent in the BMMSCs/Callyspongia sp. group in contrast to the control group (p<0.001). The RT-PCR gene expression emphasized these results by attenuating the oxidative, inflammatory, and immunity markers, further confirmed by histopathological findings. Additionally, in silico modeling was particularly targeting matrix metalloproteinase-9 (MMP9), a key player in wound healing processes. Computational analysis revealed that compounds 18 and 19 potentially modulate MMP9 activity. The combination of BMMSCs and topical Callyspongia sp. extract holds a promise for regenerative therapy constituting a drastic advance in the wound cure of immunocompromised patients, eventually further safety assessments and clinical trials are required.
Keyphrases
- wound healing
- stem cells
- gene expression
- bone marrow
- oxidative stress
- clinical trial
- end stage renal disease
- mesenchymal stem cells
- fatty acid
- cell therapy
- ejection fraction
- molecular docking
- magnetic resonance
- chronic kidney disease
- prognostic factors
- newly diagnosed
- anti inflammatory
- surgical site infection
- type diabetes
- single cell
- magnetic resonance imaging
- cardiovascular events
- peritoneal dialysis
- drug delivery
- machine learning
- big data
- contrast enhanced
- artificial intelligence
- open label
- extracorporeal membrane oxygenation
- peripheral artery disease