OBJECTIVE: The primary aims of this study were to (i) determine whether folate metabolism genetic polymorphisms predict age of onset and occurrence of late life depression; and (ii) determine whether folate metabolism genetic polymorphisms predict response to antidepressant medications in late-life depression. METHODS: This study used the Conte Center for the Neuroscience of Depression and the Neurocognitive Outcomes of Depression in the Elderly Study database, which includes individuals aged ≥60. The folate nutrition assessment was determined by the Block Food Frequency Questionnaire. Genotype was evaluated for 15 single nucleotide polymorphisms from 10 folate metabolism genes. Logistic regression models were used to examine genetic polymorphisms and folate estimates with association with depression age of onset and remission status. RESULTS: There were 304 Caucasians in the database, 106 of these were not depressed and 198 had a diagnosis of depression. There were no significant differences between remitters and non-remitters in age, sex or estimated folate intakes. There were no folate estimates or folate metabolism gene single nucleotide polymorphisms that significantly predicted age of onset of depression or occurrence of depression. Methionine synthase reductase (MTRR) A66G (rs1801394) was significantly associated with remission status (p = 0.0077) such that those with the AA genotype were 3.2 times as likely as those with the GG genotype to be in remission (p = 0.0020). Methylenetetrahydrofolate reductase A1298C (rs1801131) achieved a borderline significance for association with remission status (p = 0.0313). CONCLUSION: The major finding from this study is that the MTRR A66G genotype predicts response to selective serotonin reuptake inhibitor antidepressants in late life depression.
OBJECTIVE: The primary aims of this study were to (i) determine whether folate metabolism genetic polymorphisms predict age of onset and occurrence of late life depression; and (ii) determine whether folate metabolism genetic polymorphisms predict response to antidepressant medications in late-life depression. METHODS: This study used the Conte Center for the Neuroscience of Depression and the Neurocognitive Outcomes of Depression in the Elderly Study database, which includes individuals aged ≥60. The folate nutrition assessment was determined by the Block Food Frequency Questionnaire. Genotype was evaluated for 15 single nucleotide polymorphisms from 10 folate metabolism genes. Logistic regression models were used to examine genetic polymorphisms and folate estimates with association with depression age of onset and remission status. RESULTS: There were 304 Caucasians in the database, 106 of these were not depressed and 198 had a diagnosis of depression. There were no significant differences between remitters and non-remitters in age, sex or estimated folate intakes. There were no folate estimates or folate metabolism gene single nucleotide polymorphisms that significantly predicted age of onset of depression or occurrence of depression. Methionine synthase reductase (MTRR) A66G (rs1801394) was significantly associated with remission status (p = 0.0077) such that those with the AA genotype were 3.2 times as likely as those with the GG genotype to be in remission (p = 0.0020). Methylenetetrahydrofolate reductaseA1298C (rs1801131) achieved a borderline significance for association with remission status (p = 0.0313). CONCLUSION: The major finding from this study is that the MTRRA66G genotype predicts response to selective serotonin reuptake inhibitor antidepressants in late life depression.
Authors: Jürgen Unützer; Wayne Katon; Christopher M Callahan; John W Williams; Enid Hunkeler; Linda Harpole; Marc Hoffing; Richard D Della Penna; Polly Hitchcock Noël; Elizabeth H B Lin; Patricia A Areán; Mark T Hegel; Lingqi Tang; Thomas R Belin; Sabine Oishi; Christopher Langston Journal: JAMA Date: 2002-12-11 Impact factor: 56.272
Authors: A F Subar; F E Thompson; V Kipnis; D Midthune; P Hurwitz; S McNutt; A McIntosh; S Rosenfeld Journal: Am J Epidemiol Date: 2001-12-15 Impact factor: 4.897
Authors: K J Lievers; G H Boers; P Verhoef; M den Heijer; L A Kluijtmans; N M van der Put; F J Trijbels; H J Blom Journal: J Mol Med (Berl) Date: 2001-09 Impact factor: 4.599
Authors: Martha S Morris; Maurizio Fava; Paul F Jacques; Jacob Selhub; Irwin H Rosenberg Journal: Psychother Psychosom Date: 2003 Mar-Apr Impact factor: 17.659
Authors: L T Møllehave; T Skaaby; K S Simonsen; B H Thuesen; E L Mortensen; C H Sandholt; O Pedersen; N Grarup; T Hansen; A Linneberg Journal: Eur J Clin Nutr Date: 2017-06-28 Impact factor: 4.016