Human NEIL3 is mainly a monofunctional DNA glycosylase removing spiroimindiohydantoin and guanidinohydantoin

Base excision repair is the major pathway for removal of oxidative DNA base damage. This pathway is initiated by DNA glycosylases, which recognize and excise damaged bases from DNA. In this work, we have purified the glycosylase domain (GD) of human DNA glycosylase NEIL3. The substrate specificity has been characterized and we have elucidated the catalytic mechanisms. GD NEIL3 excised the hydantoin lesions spiroiminodihydantoin (Sp) and guanidinohydantoin (Gh) in single-stranded (ss) and double-stranded (ds) DNA efficiently. NEIL3 also removed 5-hydroxy-2′-deoxycytidine (5OHC) and 5-hydroxy-2′-deoxyuridine (5OHU) in ssDNA, but less efficiently than hydantoins. Unlike NEIL1 and NEIL2, which possess a β,δ-elimination activity, NEIL3 mainly incised damaged DNA by β-elimination. Further, the base excision and strand incision activities of NEIL3 exhibited a non-concerted action, indicating that NEIL3 mainly operate as a monofunctional DNA glycosylase. The site-specific NEIL3 mutant V2P, however, showed a concerted action, suggesting that the N-terminal amino group in Val2 is critical for the monofunctional modus. Finally, we demonstrated that residue Lys81 is essential for catalysis.     

Investigation of the effect of clinically relevant interferents on glucose monitoring using near-infrared spectroscopy

Near infrared spectroscopy (NIR) is a promising technique for continuous blood glucose monitoring for diabetic patients. Four interferents, at physiological concentrations, were introduced to study how the glucose predictions varied with a standard multivariate calibration model. Lactate and ethanol were found to interfere strongly with the glucose predictions unless they were included in the calibration models. Lactate was mistaken for glucose and gave erroneously high glucose predictions, with a dose response of 0.46 mM/mM. The presence of ethanol resulted in too low glucose predictions, with a dose response of −0.43 mM/mM. Acetaminophen, a known interferent in the glucose monitoring devices used for diabetes management today, was not found to be an interferent in NIR spectroscopy, nor was caffeine. Thus, interferents that may appear in high concentrations, such as ethanol and lactate, must be included in the calibration or model building of future NIR-based glucose measurement devices for diabetes monitoring.