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All Journal Biology, Medicine, & Natural Product Chemistry INDONESIAN JOURNAL OF MEDICAL ANTHROPOLOGY
Adheke, Oghenefego Michael
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Humanities Biochemistry, Genetics & Molecular Biology Environmental Science Medicine & Pharmacology Public Health Social Sciences

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Modulatory Efficiency of Vitamin C (Ascorbic Acid) on Collagen-Induced Platelet Aggregation and Dysfunction Onwuka, Osah Martins; Adigwe, Chukwukadibie; Adheke, Oghenefego Michael; Elem, Chamberlin Jamike; Hart, Josiah Soipiriala
Biology, Medicine, & Natural Product Chemistry Vol 13, No 2 (2024)
Publisher : Sunan Kalijaga State Islamic University & Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/biomedich.2024.132.609-615

Abstract

Platelet aggregation, coagulation, and activation are crucial for hemostasis. Collagen treatment can impair hemostatic processes leading to bleeding disorders like thrombosis; vitamin C may mitigate these effects.  Hence, modulatory efficiency of vitamin C on collagen-induced platelet aggregation and dysfunction was investigated. Thirty (30) Wistar rats (135g-155g) were divided equally into; Group 1 (Control), Group 2 (Collagen-induced), and Group 3 (Collagen + Vitamin C treated). Platelet aggregation, prothrombin time, bleeding time, fibrinogen levels assessed coagulation and platelet function. Thromboxane B2 and P-selectin levels measured platelet and endothelial activation. Platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT) evaluated platelet production and size variability. Statistical significance was set at p < 0.05. Group 2 exhibited higher platelet aggregation, prolonged prothrombin and bleeding times and elevated fibrinogen, thromboxane B2, and P-selectin levels, along with increased platelet count, MPV, PDW, and PCT, compared to Group 1. Group 3 showed significant reductions in all these parameters compared to Group 2 (p < 0.05). Vitamin C demonstrated significant modulatory effect on collagen-induced platelet aggregation and dysfunction which suggests that vitamin C may have therapeutic potential in mitigating platelet dysfunction and coagulation impairments associated with collagen-induced pathophysiological conditions.
Craniofacial Analysis of Igbo and Efik Undergraduates In A Southern Nigerian University: A Cross-Sectional Study Oladipo, Gabriel Sunday; Afolabi, Emmanuel; Akpan, Friday Andifon; Adheke, Oghenefego Michael
Indonesian Journal of Medical Anthropology Vol. 6 No. 1 (2025): Indonesian Journal of Medical Anthropology
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/ijma.v6i1.18127

Abstract

Background: The classifications of both head and facial shapes are significant for understanding racial and ethnic differences in physical anthropology. Objective: The present study was aimed at evaluating the relationship between craniofacial shape classifications and the ethnicities of selected adult Nigerian students residing in a southern Nigerian university. Methods: The study was conducted among 166 students of both Igbo and Efik ethnicities of the College of Health Sciences of Madonna University, Elele campus. With the aid of sliding calipers, measurements such as face length and width, as well as head length and width were obtained. The proscopic and cephalic indices were calculated from the measurements to know their prevalence. The Chi-square test statistic was employed to examine the relationships between cephalometric indices and ethnic groups. Results: Results showed that unlike the cephalic Index, the proscopic index classification was significantly associated with the ethnicity of the participants. The Igbo group has a higher proportion of individuals classified as Hyperleptoprosopic (55.9%) compared to the Efik group (23.0%), while the Efik group has a higher proportion in the Leptoprosopic category. Conclusion: The study concluded that the difference observed between the two ethnic student groups in prosopic index classification was significant, hence a better predictor of facial shapes.
Co-Authors Adigwe, Chukwukadibie Afolabi, Emmanuel Akpan, Friday Andifon Elem, Chamberlin Jamike Hart, Josiah Soipiriala Oladipo, Gabriel Sunday Onwuka, Osah Martins