Mohammad Moradzad

Mr. Mohammad Moradzad

Kurdistan University of Medical Sciences, Sanandij, Iran
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
21 September 2022 in Cells
Verified
Journal Article
Open access
PDF file
AHAlireza Hassanshahi
Alireza Hassanshahi
MMMohammad Moradzad
Mohammad Moradzad
SGSaman Ghalamkari
Saman Ghalamkari
MFMoosa Fadaei
Moosa Fadaei
ACAllison Cowin
Allison Cowin
MHMohammadhossein Hassanshahi
Mohammadhossein Hassanshahi
Macrophages are key immune cells that respond to infections, and modulate pathophysiological conditions such as wound healing. By possessing phagocytic activities and through the secretion of cytokines and growth factors, macrophages are pivotal orchestrators of inflammation, fibrosis, and wound repair. Macrophages orchestrate the process of wound healing through the transitioning from predominantly pro-inflammatory (M1-like phenotypes), which present early post-injury, to anti-inflammatory (M2-like phenotypes), which appear later to modulate skin repair and wound closure. In this review, different cellular and molecular aspects of macrophage-mediated skin wound healing are discussed, alongside important aspects such as macrophage subtypes, metabolism, plasticity, and epigenetics. We also highlight previous studies demonstrating interactions between macrophages and these factors for optimal wound healing. Understanding and harnessing the activity and capability of macrophages may help to advance new approaches for improving healing of the skin.

30 August 2023 in Research Square
Verified
Preprint
Open access
PDF file
MRMohammadreza Rahmani
Mohammadreza Rahmani
AJAli Jalili
Ali Jalili
MMMohammad Moradzad
Mohammad Moradzad
SFShohreh Fakhari
Shohreh Fakhari
Metformin, a prescribed medication for diabetes, has exhibited anti-cancer effects. In this study, we conducted an extensive bioinformatic analysis aiming to reveal effects of metformin on gene modulation in four distinct types of cancer: head and neck, liver, pancreatic, and prostate cancer. By integrating publicly available gene expression data from Gene Expression Omnibus (GEO) and enrichment analysis methods, we identified genes and pathways associated with the anti-cancer activities of metformin. We observed a significant upregulation of the genes NFKBIA and GADD45A, which are known to be involved in pathways linked to cancer progression. Moreover, we identified that MTHFD2 appears to be a biomarker for all these types of cancers and a target for metformin. Furthermore, the gene DKK1 exhibited potential as a prognostic indicator specifically for head and neck and pancreatic cancer, highlighting its clinical importance in these cancer types. In conclusion, our bioinformatic analysis suggests that metformin possesses anti-cancer activities through modulations of the NFKBIA, GADD45A, MTHFD2, and DKK1 genes which our study reveals for the first time their association with metformin in context of cancer. Our data contribute to understanding of the mechanism of anti-cancer activity of metformin.