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Iosifescu DV, Bolo NR, Nierenberg AA, Jensen JE, Fava M, Renshaw PF.
Depression Clinical and Research Program, Massachusetts General Hospital, Massachusetts; Brain Imaging Center, McLean Hospital, Harvard Medical School, Boston, Massachusetts.
Background: Low cerebral bioenergetic metabolism has been reported in subjects with major depressive disorder (MDD). Thyroid hormones have been shown to increase brain bioenergetic metabolism. We assessed whether changes in brain bioenergetics measured with phosphorus magnetic resonance spectroscopy (31P MRS) correlate with treatment outcome during augmentation treatment with triiodothyronine (T3) in MDD.
Methods: Nineteen subjects meeting DSM-IV criteria for MDD who had previously failed to respond to selective serotonin reuptake inhibitor (SSRI) antidepressant drugs received open label and prospective augmentation treatment with T3 for 4 weeks. We obtained 31P MRS spectra before and after treatment from all MDD subjects and baseline 31P MRS from nine normal control subjects matched for age and gender.
Results: At baseline, depressed subjects had lower intracellular Mg2+ compared with control subjects. Seven MDD subjects (38.9%) were treatment responders (= 50% improvement). Total nucleoside triphosphate (NTP), which primarily represents adenosine triphosphate (ATP), increased significantly in MDD subjects responding to T3 augmentation compared with treatment nonresponders. Phosphocreatine, which has a buffer role for ATP, decreased in treatment responders compared with nonresponders.
Conclusions: The antidepressant effect of thyroid hormone (T3) augmentation of SSRIs is correlated with significant changes in the brain bioenergetic metabolism. This seems to be a re-normalization of brain bioenergetics in treatment responders. Further studies will determine whether these findings can be generalized to other antidepressant treatments.
tags: antidepressants clinical depression ssris thyroid
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Epidemiological studies describing population characteristics which collect data at one point in time and then consider relationships between observed characteristics.. Because they don't look at time trends they cannot establish causes.
