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HPA axis and aging in depression: Systematic review and meta-analysis

Research output: Contribution to journalLiterature reviewpeer-review

Martino Belvederi Murri, Carmine Pariante, Valeria Mondelli, Mattia Masotti, Anna Rita Atti, Zefiro Mellacqua, Marco Antonioli, Lucio Ghio, Marco Menchetti, Stamatula Zanetidou, Marco Innamorati, Mario Amore

Original languageEnglish
Article numberN/A
Pages (from-to)46-62
Number of pages17
Issue numberN/A
PublishedMar 2014

King's Authors


One of the most consistent findings in the biology of depression is an altered activity of the hypothalamic pituitary adrenal (HPA) axis. However, data concerning this issue have never been examined with a focus on the older population. Here we present a systematic review and meta-analysis, based on studies investigating levels of cortisol, adrenocorticotropic hormone (ACTH) and corticotropin-releasing hormone (CRH) in depressed participants older than 60 and compared with healthy controls. We found 20 studies, for a total of 43 comparisons on different indices of HPA axis functioning. Depression had a significant effect (Hedges' g) on basal cortisol levels measured in the morning (0.89), afternoon (0.83) and night (1.39), but a smaller effect on cortisol measured continuously (0.51). The effect of depression was even higher on postdexamethasone cortisol levels (3.22), whereas it was non-significant on morning ACTH and CRH levels. Subgroup analyses indicated that various methodological and clinical factors can influence the study results. Overall, older participants suffering from depression show a high degree of dysregulation of HPA axis activity, with differences compared with younger adults. This might depend on several mechanisms, including physical illnesses, alterations in the CNS and immune-endocrinological alterations. Further studies are needed to clarify the implications of altered HPA axis activity in older patients suffering from depression. Novel pharmacological approaches might be effective in targeting this pathophysiological feature, thus improving the clinical outcomes.

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