Page last updated: 2024-09-03

n(6)-carboxymethyllysine and Anemia

n(6)-carboxymethyllysine has been researched along with Anemia in 3 studies

Research

Studies (3)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (66.67)29.6817
2010's1 (33.33)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Ershler, WB; Ferrucci, L; Guralnik, JM; Longo, DL; Patel, KV; Semba, RD; Sun, K1
Ferrucci, L; Fried, LP; Guralnik, JM; Patel, KV; Semba, RD; Sun, K1
Bandinelli, S; Ferrucci, L; Guralnik, JM; Patel, KV; Roy, CN; Semba, RD; Sun, K; Varadhan, R1

Other Studies

3 other study(ies) available for n(6)-carboxymethyllysine and Anemia

ArticleYear
Association between serum carboxymethyl-lysine, a dominant advanced glycation end product, and anemia in adults: the Baltimore longitudinal study of aging.
    Journal of the American Geriatrics Society, 2008, Volume: 56, Issue:11

    Topics: Adult; Aging; Anemia; Baltimore; Female; Humans; Longitudinal Studies; Lysine; Male

2008
Elevated serum advanced glycation end products and their circulating receptors are associated with anaemia in older community-dwelling women.
    Age and ageing, 2009, Volume: 38, Issue:3

    Topics: Activities of Daily Living; Age Factors; Aged; Aged, 80 and over; Anemia; Baltimore; Biomarkers; Cross-Sectional Studies; Disability Evaluation; Female; Glycation End Products, Advanced; Hemoglobins; Humans; Logistic Models; Lysine; Odds Ratio; Receptor for Advanced Glycation End Products; Receptors, Immunologic; Risk Assessment; Risk Factors; Up-Regulation

2009
Circulating selenium and carboxymethyl-lysine, an advanced glycation endproduct, are independent predictors of anemia in older community-dwelling adults.
    Nutrition (Burbank, Los Angeles County, Calif.), 2012, Volume: 28, Issue:7-8

    Topics: Aged; Aged, 80 and over; Aging; Anemia; Biomarkers; Cohort Studies; Female; Follow-Up Studies; Glycation End Products, Advanced; Humans; Incidence; Italy; Longitudinal Studies; Lysine; Male; Oxidative Stress; Predictive Value of Tests; Prevalence; Proportional Hazards Models; Selenium

2012