Abstract

Background: Carbonic Anhydrase II (CA-II) plays a pivotal role in various physiological processes, including maintaining acid-base balance. Its implications in testicular health, especially cryptorchidism, make it an essential focus for researchers. ELISA is widely used to measure biomarker concentrations, with OD serving as a key indicator. Understanding the precision of OD measurements for CA-II can enhance its diagnostic and research applications. Objective: This study aims to evaluate the relationship between OD and CA-II concentration using linear regression analysis, thereby establishing a quantitative framework for accurate and reproducible CA-II measurements. By validating the OD-to-concentration relationship, this research will aid in developing standardized protocols that can improve diagnostic reliability, enhance monitoring of disease progression, and support therapeutic interventions targeting CA-II. Methods: Standardized ELISA was employed to determine CA-II concentrations across sample groups, recording OD at specific wavelengths. Data were analyzed for linearity, group differences using ANOVA, and pairwise comparisons via Tukey’s HSD test. Correlation analysis was performed to evaluate the relationship between CA-II concentration and OD. Results: A linear regression model (y=0.3758x+0.1604) demonstrated a nearly perfect R2 value of 0.9957. Statistical tests revealed a strong correlation (0.998) between CA-II concentration and OD values. ANOVA did not indicate significant differences among concentration quartiles; however, the data strongly supported OD’s use as a reliable proxy for CA-II measurement. Conclusion: The established linear relationship between CA-II concentration and OD confirms the accuracy of ELISA in CA-II measurement. This methodology supports future investigations into CA-II’s involvement in testicular health, potentially aiding in diagnostics and understanding of conditions such as cryptorchidism.

Key words: Carbonic Anhydrase II, Optical Density, ELISA, Cryptorchidism, Biomarker Quantification.