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Southeast Asians known as the Hmong have a high prevalence of tuberculosis and select cancers. The slow acetylation (SA) phenotype for N-acetyltransferase 2 (NAT2) has been associated with toxicity from the anti-tuberculosis drug, isoniazid and in increased risk of select cancers. Previous research indicates a 74.5% prevalence of SA in Hmong which differs from other Asian populations including the Japanese and Thai (range: 7%-45%). Given this contrast, the purpose of this study was to confirm or refute this unexpected predominance of the SA phenotype in Hmong. Unrelated, Minnesota Hmong between 18 and 65 years of age consented and participated by ingesting caffeine as the probe for NAT2. A urinary caffeine metabolic ratio AFMU/1X (<0.6) was used to classify subjects as slow acetylators. Among 51 analysable samples provided by 61 enrollees (27 male, 33 female, 1 sex unknown, age 30+/-11 years [mean+/-SD]) there were 47 (92.2%) slow and 4 (7.8%) rapid acetylators. The prevalence of the SA phenotype (92.2%) from this study exceeds the 74.5% (p<0.02 by chi-square test) previously noted in Minnesota Hmong (n=98). The predominance of the SA phenotype within Minnesota Hmong is confirmed. Further studies evaluating this unexpected prevalence, its genetic basis and potential clinical relevance to drug toxicity and disease are warranted., (Copyright 2006 John Wiley & Sons, Ltd.)

An analysis of the 1976 CAP Comprehensive Chemistry Survey of total serum proteins is presented. More than 2,000 laboratories contributed data in this survey. Estimation of total serum protein concentration by the biuret reaction remains the most widely used technic, followed by refractometry. Precision and accuracy data for a number of analytic systems and methods are presented. Precisions for the entire group are nearly comparable. A negative bias for total protein concentration was shown by the SMAC.

An anlysis of the 1977 College of American Pathologists (CAP) Comprehensive Chemistry Survey program for glucose measurements is presented. Based on average mean concentrations compared with all-method mean concentration, hexokinase methods are the most accurate. Glucose oxidase-oxygen rate methods demonstrate the best precision in interlaboratory comparison statistics. Neocuproine methods for glucose manifest unacceptable positive biases when compared with overall mean concentrations and other methods. Accuracy and precision indices for glucose measurements in urine are well below those obtained in serum. Again, redox methods, such as those based on neocuproine and ferricyanide, perform so poorly that they should be eliminated.