Literature DB >> 20332276

Reproducibility of plasma and urine biomarkers among premenopausal and postmenopausal women from the Nurses' Health Studies.

Joanne Kotsopoulos1, Shelley S Tworoger, Hannia Campos, Fung-Lung Chung, Charles V Clevenger, Adrian A Franke, Christos S Mantzoros, Vincent Ricchiuti, Walter C Willett, Susan E Hankinson, A Heather Eliassen.   

Abstract

BACKGROUND: Temporal variability of biomarkers should be evaluated before their use in epidemiologic studies.
METHODS: We evaluated the reproducibility, using intraclass correlation coefficients (ICC), of 77 plasma and 9 urinary biomarkers over 1 to 3 years among premenopausal (n = 40) and postmenopausal (n = 35-70) participants from the Nurses' Health Study and Nurses' Health Study II.
RESULTS: Plasma and urinary stress hormones and melatonin were measured among premenopausal women, whereas melatonin and the remaining biomarkers were measured in postmenopausal women. ICCs were good to excellent for plasma carotenoids (0.73-0.88), vitamin D analytes (0.56-0.72), bioactive somatolactogens (0.62), soluble leptin receptor (0.82), resistin (0.74), and postmenopausal melatonin (0.63). Reproducibility was lower for some of the plasma fatty acids (0.38-0.72), matrix metalloproteinases (0.07-0.91), and premenopausal melatonin (0.44). The ICCs for plasma and urinary phytoestrogens were poor (< or = 0.09) except for enterolactone (plasma, 0.44; urinary, 0.52). ICCs for the stress hormones among premenopausal women ranged from 0 (plasma cortisol) to 0.45 (urinary dopamine).
CONCLUSIONS: Our results indicate that for the majority of these markers, a single measurement can reliably estimate average levels over a 1- to 3-year period in epidemiologic studies. For analytes with fair to good ICCs, reproducibility data can be used for measurement error correction. Analytes with poor ICCs should only be used in settings with multiple samples per subject or in populations in which ICCs are higher. IMPACT: This article summarizes the feasibility of the use of >80 biomarkers in epidemiologic studies in which only one biospecimen is available to represent longer term exposure.

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Year:  2010        PMID: 20332276      PMCID: PMC2852492          DOI: 10.1158/1055-9965.EPI-09-1318

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  45 in total

1.  Reproducibility of the circadian rhythms of serum cortisol and melatonin in healthy subjects: a study of three different 24-h cycles over six weeks.

Authors:  Brahim Selmaoui; Yvan Touitou
Journal:  Life Sci       Date:  2003-11-14       Impact factor: 5.037

Review 2.  Phytoestrogenic isoflavonoids in epidemiologic and clinical research.

Authors:  Adrian A Franke; Brunhild M Halm; Kerry Kakazu; Xingnan Li; Laurie J Custer
Journal:  Drug Test Anal       Date:  2009-01       Impact factor: 3.345

3.  The repeatability of serum carotenoid, retinoid, and tocopherol concentrations in specimens of blood collected 15 years apart.

Authors:  G W Comstock; A E Burke; S C Hoffman; E P Norkus; M Gross; K J Helzlsouer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2001-01       Impact factor: 4.254

4.  New homologous bioassays for human lactogens show that agonism or antagonism of various analogs is a function of assay sensitivity.

Authors:  Sophie Bernichtein; Sébastien Jeay; Roland Vaudry; Paul A Kelly; Vincent Goffin
Journal:  Endocrine       Date:  2003 Feb-Mar       Impact factor: 3.633

Review 5.  Phyto-oestrogens and cancer.

Authors:  Herman Adlercreutz
Journal:  Lancet Oncol       Date:  2002-06       Impact factor: 41.316

6.  Plasma prolactin concentrations and risk of postmenopausal breast cancer.

Authors:  Shelley S Tworoger; A Heather Eliassen; Bernard Rosner; Patrick Sluss; Susan E Hankinson
Journal:  Cancer Res       Date:  2004-09-15       Impact factor: 12.701

7.  Epidemiology of urinary melatonin in women and its relation to other hormones and night work.

Authors:  Eva S Schernhammer; Bernard Rosner; Walter C Willett; Francine Laden; Graham A Colditz; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-06       Impact factor: 4.254

8.  Individual carotenoid concentrations in adipose tissue and plasma as biomarkers of dietary intake.

Authors:  Ahmed El-Sohemy; Ana Baylin; Edmond Kabagambe; Alberto Ascherio; Donna Spiegelman; Hannia Campos
Journal:  Am J Clin Nutr       Date:  2002-07       Impact factor: 7.045

9.  Liquid chromatographic-photodiode array mass spectrometric analysis of dietary phytoestrogens from human urine and blood.

Authors:  Adrian A Franke; Laurie J Custer; Lynne R Wilkens; Loïc Le Le Marchand; Abraham M Y Nomura; Marc T Goodman; Laurence N Kolonel
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2002-09-25       Impact factor: 3.205

Review 10.  Metalloproteinases: role in breast carcinogenesis, invasion and metastasis.

Authors:  M J Duffy; T M Maguire; A Hill; E McDermott; N O'Higgins
Journal:  Breast Cancer Res       Date:  2000-06-07       Impact factor: 6.466

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  79 in total

1.  Plasma carotenoids and risk of breast cancer over 20 y of follow-up.

Authors:  A Heather Eliassen; Xiaomei Liao; Bernard Rosner; Rulla M Tamimi; Shelley S Tworoger; Susan E Hankinson
Journal:  Am J Clin Nutr       Date:  2015-04-15       Impact factor: 7.045

2.  Dietary, lifestyle, and genetic determinants of vitamin D status: a cross-sectional analysis from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Germany study.

Authors:  Tilman Kühn; Rudolf Kaaks; Birgit Teucher; Frank Hirche; Jutta Dierkes; Cornelia Weikert; Verena Katzke; Heiner Boeing; Gabriele I Stangl; Brian Buijsse
Journal:  Eur J Nutr       Date:  2013-09-05       Impact factor: 5.614

3.  Plasma carotenoids and the risk of premalignant breast disease in women aged 50 and younger: a nested case-control study.

Authors:  Kevin Cohen; Ying Liu; Jingqin Luo; Catherine M Appleton; Graham A Colditz
Journal:  Breast Cancer Res Treat       Date:  2017-02-11       Impact factor: 4.872

4.  Associations between vitamin D levels and polycystic ovary syndrome phenotypes.

Authors:  Erin M Davis; Jennifer D Peck; Karl R Hansen; Barbara R Neas; LaTasha B Craig
Journal:  Minerva Endocrinol       Date:  2018-04-12       Impact factor: 2.184

5.  Circulating levels of vitamin D and colon and rectal cancer: the Physicians' Health Study and a meta-analysis of prospective studies.

Authors:  Jung Eun Lee; Haojie Li; Andrew T Chan; Bruce W Hollis; I-Min Lee; Meir J Stampfer; Kana Wu; Edward Giovannucci; Jing Ma
Journal:  Cancer Prev Res (Phila)       Date:  2011-03-23

6.  The Association of a Breast Cancer Diagnosis With Serum 25-Hydroxyvitamin D Concentration Over Time.

Authors:  Katie M O'Brien; Dale P Sandler; Melissa House; Jack A Taylor; Clarice R Weinberg
Journal:  Am J Epidemiol       Date:  2019-04-01       Impact factor: 4.897

7.  Premenopausal plasma carotenoids, fluorescent oxidation products, and subsequent breast cancer risk in the nurses' health studies.

Authors:  Julia S Sisti; Sara Lindström; Peter Kraft; Rulla M Tamimi; Bernard A Rosner; Tianying Wu; Walter C Willett; A Heather Eliassen
Journal:  Breast Cancer Res Treat       Date:  2015-04-28       Impact factor: 4.872

8.  Association between optimism and serum antioxidants in the midlife in the United States study.

Authors:  Julia K Boehm; David R Williams; Eric B Rimm; Carol Ryff; Laura D Kubzansky
Journal:  Psychosom Med       Date:  2012-12-20       Impact factor: 4.312

9.  Circulating carotenoids and risk of breast cancer: pooled analysis of eight prospective studies.

Authors:  A Heather Eliassen; Sara J Hendrickson; Louise A Brinton; Julie E Buring; Hannia Campos; Qi Dai; Joanne F Dorgan; Adrian A Franke; Yu-tang Gao; Marc T Goodman; Göran Hallmans; Kathy J Helzlsouer; Judy Hoffman-Bolton; Kerstin Hultén; Howard D Sesso; Anne L Sowell; Rulla M Tamimi; Paolo Toniolo; Lynne R Wilkens; Anna Winkvist; Anne Zeleniuch-Jacquotte; Wei Zheng; Susan E Hankinson
Journal:  J Natl Cancer Inst       Date:  2012-12-06       Impact factor: 13.506

10.  Prolactin serum levels and breast cancer: relationships with risk factors and tumour characteristics among pre- and postmenopausal women in a population-based case-control study from Poland.

Authors:  J M Faupel-Badger; M E Sherman; M Garcia-Closas; M M Gaudet; R T Falk; A Andaya; R M Pfeiffer; X R Yang; J Lissowska; L A Brinton; B Peplonska; B K Vonderhaar; J D Figueroa
Journal:  Br J Cancer       Date:  2010-08-24       Impact factor: 7.640

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