Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders.

Alzheimer’s disease cognitive frailty dementia frailty lifestyle mild cognitive impairment physical frailty social frailty vascular dementia

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2023
Historique:
medline: 8 8 2023
pubmed: 25 6 2023
entrez: 25 6 2023
Statut: ppublish

Résumé

In older age, frailty is a detrimental transitional status of the aging process featuring an increased susceptibility to stressors defined by a clinical reduction of homoeostatic reserves. Multidimensional frailty phenotypes have been associated with all-cause dementia, mild cognitive impairment (MCI), Alzheimer's disease (AD), AD neuropathology, vascular dementia, and non-AD dementias. In the present article, we reviewed current evidence on the existing links among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders, also examining common pathways and mechanisms underlying these links. The depressive frailty phenotype suggested by the construct of late-life depression (LLD) plus physical frailty is poorly operationalized. The biopsychosocial frailty phenotype, with its coexistent biological/physical and psychosocial dimensions, defines a biological aging status and includes motivational, emotional, and socioeconomic domains. Shared biological pathways/substrates among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders are hypothesized to be inflammatory and cardiometabolic processes, together with multimorbidity, loneliness, mitochondrial dysfunction, dopaminergic neurotransmission, specific personality traits, lack of subjective/objective social support, and neuroendocrine dysregulation. The cognitive frailty phenotype, combining frailty and cognitive impairment, may be a risk factor for LLD and vice versa, and a construct of depressive frailty linking physical frailty and LLD may be a good dementia predictor. Frailty assessment may enable clinicians to better target the pharmacological and psychological treatment of LLD. Given the epidemiological links of biopsychosocial frailty with dementia and MCI, multidomain interventions might contribute to delay the onset of late-life cognitive disorders and other adverse health-related outcomes, such as institutionalization, more frequent hospitalization, disability, and mortality.

Identifiants

pubmed: 37355907
pii: JAD230312
doi: 10.3233/JAD-230312
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

879-898

Auteurs

Francesco Panza (F)

Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.
"Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy.

Vincenzo Solfrizzi (V)

"Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy.

Rodolfo Sardone (R)

Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.

Vittorio Dibello (V)

"Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy.
Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Fabio Castellana (F)

Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.

Roberta Zupo (R)

Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.

Roberta Stallone (R)

Neuroscience and Education, Human Resources Excellence in Research, University of Foggia, Foggia, Italy.

Luisa Lampignano (L)

Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.

Ilaria Bortone (I)

Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.

Anita Mollica (A)

Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy.

Giuseppe Berardino (G)

Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy.

Qingwei Ruan (Q)

Laboratory of Aging, Anti-aging & Cognitive Performance, Shanghai Institute of Geriatrics and Gerontology, Huadong Hospital, Fudan University, Shanghai, China.
Shanghai Key Laboratory of Clinical Geriatrics, Huadong Hospital, Shanghai Medical 14 College, Fudan University, Shanghai, China.

Mario Altamura (M)

Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy.

Antonello Bellomo (A)

Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy.

Antonio Daniele (A)

Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy.
Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy.

Madia Lozupone (M)

Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari "Aldo Moro", Bari, Italy.

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