Last data update: Jan 13, 2025. (Total: 48570 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Rabinowitz DJ[original query] |
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An LC-MS/MS method for serum methylmalonic acid suitable for monitoring vitamin B12 status in population surveys
Mineva EM , Zhang M , Rabinowitz DJ , Phinney KW , Pfeiffer CM . Anal Bioanal Chem 2014 407 (11) 2955-64 Methylmalonic acid (MMA), a functional indicator of vitamin B12 insufficiency, was measured in the US population in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2004 using a GC/MS procedure that required 275 muL of sample and had a low throughput (36 samples/run). Our objective was to introduce a more efficient yet highly accurate LC-MS/MS method for NHANES 2011-2014. We adapted the sample preparation with some modifications from a published isotope-dilution LC-MS/MS procedure. The procedure utilized liquid-liquid extraction and generation of MMA dibutyl ester. Reversed-phase chromatography with isocratic elution allowed baseline resolution of MMA from its naturally occurring structural isomer succinic acid within 4.5 min. Our new method afforded an increased throughput (≤160 samples/run) and measured serum MMA with high sensitivity (LOD = 22.1 nmol/L) in only 75 muL of sample. Mean (+/-SD) recovery of MMA spiked into serum (2 d, 4 levels, 2 replicates each) was 94 % +/- 5.5 %. Total imprecision (41 d, 2 replicates each) for three serum quality control pools was 4.9 %-7.9 % (97.1-548 nmol/L). The LC-MS/MS method showed excellent correlation (n = 326, r = 0.99) and no bias (Deming regression, Bland-Altman analysis) compared to the previous GC/MS method. Both methods produced virtually identical mean (+/-SD) MMA concentrations [LC-MS/MS: 18.47 +/- 0.71 ng/mL (n = 17), GC/MS: 18.18 +/- 0.67 ng/mL (n = 11)] on a future plasma reference material compared with a GC/MS method procedure from the National Institute of Standards and Technology [18.41 +/- 0.70 ng/mL (n = 15)]. No adjustment will be necessary to compare previous (1999-2004) to future (2011-2014) NHANES MMA data. |
Urine sodium excretion increased slightly among U.S. adults between 1988 and 2010
Pfeiffer CM , Hughes JP , Cogswell ME , Burt VL , Lacher DA , Lavoie DJ , Rabinowitz DJ , Johnson CL , Pirkle JL . J Nutr 2014 144 (5) 698-705 Little information is available on temporal trends in sodium intake in the U.S. population using urine sodium excretion as a biomarker. Our aim was to assess 1988-2010 trends in estimated 24-h urine sodium (24hUNa) excretion among U.S. adults (age 20-59 y) participating in the cross-sectional NHANES. We used subsamples from a 1988-1994 convenience sample, a 2003-2006 one-third random sample, and a 2010 one-third random sample to comply with resource constraints. We estimated 24hUNa excretion from measured sodium concentrations in spot urine samples by use of calibration equations (for men and women) derived from the International Cooperative Study on Salt, Other Factors, and Blood Pressure study. Estimated 24hUNa excretion increased over the 20-y period [1988-1994, 2003-2006, and 2010; means +/- SEMs (n): 3160 +/- 38.4 mg/d (1249), 3290 +/- 29.4 mg/d (1235), and 3290 +/- 44.4 mg/d (525), respectively; P-trend = 0.022]. We observed significantly higher mean estimated 24hUNa excretion in each survey period (P < 0.001) for men compared with women (31-33%) and for persons with a higher body mass index (BMI; 32-35% for obese vs. normal weight) or blood pressure (17-26% for hypertensive vs. normal blood pressure). After adjusting for age, sex, and race-ethnicity, temporal trends in mean estimated 24hUNa excretion remained significant (P-trend = 0.004). We observed no temporal trends in mean estimated 24hUNa excretion among BMI subgroups, nor after adjusting for BMI. Although several limitations apply to this analysis (the use of a convenience sample in 1988-1994 and using estimated 24hUNa excretion as a biomarker of sodium intake), these first NHANES data suggest that mean estimated 24hUNa excretion increased slightly in U.S. adults over the past 2 decades, and this increase may be explained by a shift in the distribution of BMI. |
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