Jackie A. Lavigne
Johns Hopkins University
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Growth Hormone & Igf Research | 2009
David Berrigan; Nancy Potischman; Kevin W. Dodd; Stephen D. Hursting; Jackie A. Lavigne; J. Carl Barrett; Rachel Ballard-Barbash
OBJECTIVES The IGF axis plays a significant role in normal growth and development and variation in IGFs is associated with health outcomes. Past studies report variation in IGF levels among race/ethnic groups known to differ in disease incidence. This paper reports on race/ethnic variation in serum levels of IGF-I and IGF-BP3 in a nationally representative and ethnically diverse sample of US adults. DESIGN Serum IGF-I and IGFBP-3 levels from the fasting subsample (n = 6061) of respondents to the US National Health and Nutrition Examination Survey III (NHANES III) were analyzed using an IGF-I ELISA (Diagnostic Systems Laboratory (DSL) 10-5600) and an IGFBP-3 IRMA (DSL 6600). The NHANES is a combined examination and interview survey of a nationally representative sample of US adults. Regression analyses were used to estimate cross-sectional associations between the IGF axis and demographic variables. RESULTS In unadjusted analyses, serum IGF-I levels were higher in males than in females, and IGFBP-3 levels were higher in females than in males. Both analytes were lower in older adults. Univariate analyses indicate that serum levels of IGF-I are lower in female Non-Hispanic Whites (NHW) (256 [4.9]) and Hispanics (249 [6.6]) than in Non-Hispanic Blacks (NHB) (281 [4.9]). However, in males, IGF levels in NHWs (287 [3.6]) and NHBs (284 [4.3]) are similar and levels in Mexican-Americans are only moderately reduced (265 [3.4]). Notably, NHBs have the highest molar ratio of IGF-I:IGFBP-3 at all ages. After adjustment for age and BMI, gender and race/ethnicity differences persist. CONCLUSIONS These cross-sectional data support exploration of the IGF axis as an explanation for some race/ethnic differences in cancer incidence.
Cancer Epidemiology, Biomarkers & Prevention | 2007
David Berrigan; Nancy Potischman; Kevin W. Dodd; Michael Nicar; Geraldine McQuillan; Jackie A. Lavigne; J. Carl Barrett; Rachel Ballard-Barbash
The insulin-like growth factor (IGF) axis, particularly IGF-I and IGF binding protein-3 (IGFBP-3), has been the subject of much attention because of its role in juvenile growth and their association with cancers at several sites. However, epidemiologic studies of IGF-I and IGFBP-3 have had mixed results and several authors have speculated that quality control (QC), sample storage history, and other methodologic concerns could play a role in this heterogeneity. This article documents the results of storage history and QC efforts for a study of IGF-I and IGFBP-3 in 6,226 serum samples from the National Health and Nutrition Examination Survey III (NHANES III). The study was carried out on site at Diagnostic Systems Laboratories in Webster, Texas, using the IGF-I ELISA (DSL 10-5600) and the IGFBP-3 immunoradiometric assay (DSL 6600). A run-in study of assay performance suggested that plates, days, and weeks significantly affected the variance of both assays. Analysis of samples with different storage histories also indicated strong effects of storage history. Serum samples disbursed to laboratories for measurement of diverse analytes and then returned for storage showed reductions in serum IGF-I level averaging 43% and reductions in IGFBP-3 of 25% compared with samples shipped immediately to the repository for long-term storage at −80°C. Therefore, the main study was carried out using samples that had been shipped directly to the National Center for Health Statistics/NHANES collection center for storage. Laboratory analyses of NHANES III and QC samples were carried out over ∼10 months. QC was monitored through repeated testing of blood samples from six individuals, with two individuals tested twice on each plate. Assay performance was stable over the entire study and coefficients of variation averaged 2% to 3% within plates and ∼14% for IGF-I and ∼11.5% for IGFBP-3 over the entire study. Coefficients of variation varied significantly among individual QC subjects, ranging from 12.3% to 17.6% for IGF-I and 8.9% to 12.8% for IGFBP-3. Based on Levy-Jennings plots, ∼5% of the plates used for IGF-I in the main study were out of compliance. Finally, location on a plate had small but significant effects on IGF-I level. Together, these results highlight the need for care in large studies of putative biomarkers for cancer risk and illustrate some probable sources of heterogeneity in past epidemiologic studies of the IGF axis and cancer. (Cancer Epidemiol Biomarkers Prev 2007;16(5):1017–22)
Cancer Research | 1997
Jackie A. Lavigne; Kathy J. Helzlsouer; Han Yao Huang; Paul T. Strickland; Douglas A. Bell; Ornella I. Selmin; Mary A. Watson; Sandra C. Hoffman; George W. Comstock; James D. Yager
Cancer Epidemiology, Biomarkers & Prevention | 1999
Kathy J. Helzlsouer; Anthony J. Alberg; Han Yao Huang; Sandra C. Hoffman; Paul T. Strickland; John W. Brock; Virlyn W. Burse; Larry L. Needham; Douglas A. Bell; Jackie A. Lavigne; James D. Yager; George W. Comstock
Cancer Research | 2001
Jackie A. Lavigne; Julie E. Goodman; Tekum Fonong; Shelly Odwin; Ping He; Dean W. Roberts; James D. Yager
Carcinogenesis | 2001
Julie E. Goodman; Jackie A. Lavigne; Kana Wu; Kathy J. Helzlsouer; Paul T. Strickland; Jacob Selhub; James D. Yager
Toxicological Sciences | 1999
Jinqiang Chen; Yunbo Li; Jackie A. Lavigne; Michael A. Trush; James D. Yager
Cancer Epidemiology, Biomarkers & Prevention | 2000
Julie E. Goodman; Jackie A. Lavigne; Jan G. Hengstler; Berno Tanner; Kathy J. Helzlsouer; James D. Yager
Archive | 2013
Jackie A. Lavigne; Kathy J. Helzlsouer; Han-Yao Huang
Archive | 2000
Julie E. Goodman; Jackie A. Lavigne; Jan G. Hengstler; Berno Tanner; Kathy J. Helzlsouer; James D. Yager