Wound healing is a complex, dynamic process supported by a myriad of cellular events that must be tightly coordinated to efficiently repair damaged tissue. These wounds are a significant socioeconomic burden due to their high prevalence and recurrence, which is why the phenomenon of wounds has also been labeled as a "Silent Epidemic". Most of these wounds become "chronic", with around 15% of them remaining unresolved 1-year post incidence, which results in a prolonged yet avoidable burden to patients, families, and the health system. In this experimental study, we tried to purify the potent components in chick early amniotic fluid (ceAF) and applied these components to the wound healing mechanism. We first subjected ceAF to a series of purifications, including an HPLC purification system along with ion-exchange chromatography technology to purify other potential components. Upon narrowing down, we found two structural analogs: guanosine and deoxyinosine. We performed these components' cell scratch and trans-well migration assays to validate the accurate dosage. We also assessed these components via topical administration on the skin of murine model wounds. For this, we randomly divided C57BL/6 (all black, male, 5 weeks old) mice into groups. The wound model was established through excising the skin of mice and treated the wounds with different fractions of guanosine and deoxyinosine continuously for 8-10 day intervals. Once the healing was complete, the skin was excised to determine the inflammatory response and other biochemical parameters of the healed skin, including epidermal thickness, collagen density, macrophages, and neutrophil infiltration at the wounded site. Quantitative real-time PCR and immunoblot assays were performed to determine active gene expression and protein expression of proinflammatory molecules, growth factors, and cytokines. All these findings support our data indicating the promising healing properties of guanosine and deoxyinosine isolated from ceAF.
Keyphrases
- wound healing
- gene expression
- inflammatory response
- risk factors
- end stage renal disease
- real time pcr
- newly diagnosed
- mass spectrometry
- ejection fraction
- chronic kidney disease
- high resolution
- ms ms
- high throughput
- molecular docking
- high fat diet induced
- peritoneal dialysis
- cell therapy
- single cell
- prognostic factors
- high performance liquid chromatography
- machine learning
- type diabetes
- electronic health record
- computed tomography
- tandem mass spectrometry
- simultaneous determination
- lipopolysaccharide induced
- artificial intelligence
- deep learning
- metabolic syndrome
- liquid chromatography
- umbilical cord
- big data
- free survival
- wild type
- optical coherence tomography
- patient reported