8 research outputs found
Beneficial Effects of Aminoguanidine on Skin Flap Survival in Diabetic Rats
Random flaps in DM patients have poor reliability for wound coverage, and flap loss remains a complex challenge. The protective effects of aminoguanidine (AG) administration on the survival of dorsal random flaps and oxidative stress were studied in diabetic rats. Two months after the onset of DM, dorsal McFarlane flaps were raised. Forty rats were divided into four groups: (1) control, (2) AG, (3) DM, and (4) DM + AG groups.
Flap viability, determined with the planimetric method, and free-radical measurements were investigated. In addition, HbA1c and blood glucose levels, body weight measurements, and histopathological examinations were evaluated. The mean flap necrotic areas (%) in Groups I to IV were 50.9 ± 13.0, 32.9 ± 12.5, 65.2 ± 11.5, and 43.5 ± 14.7, respectively. The malondialdehyde (MDA) and nitric oxide (NO) levels were higher in the DM group than in the nondiabetic group, while the reduced glutathione (GSH) levels and superoxide dismutase (SOD) activity were reduced as a result of flap injury. In the diabetic and nondiabetic groups, AG administration significantly reduced the MDA and NO levels and significantly increased GSH content and SOD enzyme activity. We concluded that AG plays an important role in preventing random pattern flap necrosis
Primary Malignant Melanoma of the Esophagus
Primary malignant melanoma of the esophagus (PMME) comprises only 0.1-0.2% of all malignant esophageal tumors. PMME tumors are highly aggressive and metastasize early via hematogenic and lymphatic pathways. Treatment outcome is poor because the cancer has often advanced at the time of diagnosis. Inoperability, unsuccessful treatment with radiotherapy and chemotherapy in advanced tumors and metastases have contributed to its poor prognosis. Here, we present the endoscopic features, endoscopic ultrasonography findings and management of a PMME case
The crucial role of pathologist in determining the prognosis of colorectal carcinoma cases: An analysis of 502 cases with colorectal carcinoma by Turkish National Working Group of Gastrointestinal Pathology
WOS: 000249454600179
The crucial role of pathologist in determining the prognosis of colorectal carcinoma cases: An analysis of 502 cases with colorectal carcinoma by Turkish National Working Group of Gastrointestinal Pathology
WOS: 00024945460017
The crucial role of pathologist in determining the prognosis of colorectal carcinoma cases: An analysis of 502 cases with colorectal carcinoma by Turkish National Working Group of Gastrointestinal Pathology
Gastrointestinal epithelial dysplasia/neoplasia: Where do Turkish pathologists stand - East or West?
Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies
Various causes of chronic hepatic injury and inflammation can lead to fibrosis and cirrhosis, potentially predisposing individuals to hepatocellular carcinoma. Despite extensive research, the molecular mechanisms underlying liver fibrosis and its associated progression to cancer remain incompletely understood. In this study, we employed an integrated proteotranscriptomics approach to characterize the molecular pathophysiology of liver fibrosis in both liver and plasma samples from 330 individuals. This cohort included 40 healthy subjects and 290 patients with histologically characterized fibrosis due to chronic viral infection, alcohol consumption, or metabolic-dysfunction associated steatotic liver disease. We demonstrated that pathways related to extracellular matrix alterations, immune response, inflammation, and metabolism are dysregulated in advanced hepatic fibrosis, regardless of the underlying cause. Additionally, our analysis of peritumoral hepatic tissues revealed transcription signatures linked to cell proliferation, survival, and inflammation in hepatocellular carcinoma. Furthermore, we observed extensive remodeling of the plasma proteome linked with severe fibrosis and identified 132 circulating proteomic signatures associated with advanced fibrosis by integrative analysis of plasma proteomics with hepatic transcriptomics. We finally developed predictive models using machine learning to facilitate the non-invasive detection of advanced fibrosis and cirrhosis.QC 20240516</p