RESUMO
Carbonic anhydrase (CA) is a zinc-dependent metal enzyme that maintains the pH and carbon dioxide (CO2) homeostasis in cells by catalyzing the reversible hydration and dehydration of CO2 and bicarbonate (HCO3-). In mammals, there are 16 isozymes of CA existed, namely CAI to CAXIV, but only 15 isozymes are found in humans except CAXV. Human CAs have highly conserved catalytic domains, all of which are distributed in different tissues and play important physiological roles. Changes in their functions may disrupt the typical distribution of CAs throughout human body and therefore CAs can be used as diagnostic biomarkers for many diseases. Furthermore, the expression of CAs is correlated to the progression of numerous tumors, therapeutic sensitivity and patient prognosis. In this review, we discuss thoroughly the structure of CAs, their functional activities in human physiology, dysregulations and diseases related to CAs, and different types of CA inhibitors that can reverse their dysregulation.
Assuntos
Inibidores da Anidrase Carbônica , Anidrases Carbônicas , Neoplasias , Humanos , Anidrases Carbônicas/metabolismo , Neoplasias/tratamento farmacológico , Neoplasias/enzimologia , Animais , Inibidores da Anidrase Carbônica/uso terapêutico , Inibidores da Anidrase Carbônica/farmacologia , Antineoplásicos/farmacologia , Antineoplásicos/uso terapêutico , Terapia de Alvo MolecularRESUMO
Objective To analyze statistically the data on the charging items in some hospital to determine monitor equipment utilization rate in the nursing unit,so as to provide data support for proposing monitor equipment allocation scheme in the hospital.Methods Totally 571 pieces of monitor equipment were used as the subjects,and the records on the charging items in HIS database were extracted from January 1st 2016 to June 30th 2017.The monitor equipment utilization rates,that is,the daily hours of operation,in the nursing units were calculated,and then were compared and analyzed.Results The allocation of the monitor equipment proved reasonable although pre-purchase demonstration in some nursing units had no enough data support.Conclusion It's feasible to instruct equipment allocation with the utilization rate based on charging items analysis. [Chinese Medical Equipment Journal,2018,39(5):78-80]
