A total of 356 elderly subjects [257F; 88–106 years] were genotyped for three polymorphisms of the CLOCK gene by TaqMan real-time PCR approach, in order to find associations with quality of aging. Subjects homozygous for the minor allele of rs1801260 were less frequently overweight (p = 0.046), had higher fasting glucose levels (p = 0.037), better scores at the Clock Drawing Test (CDT) (p = 0.047) and worse scores at the Geriatric Depression Scale (p = 0.032). Subjects homozygous for the minor allele of rs11932595 showed higher fasting glucose levels (p = 0.044) and better scores at CDT (p = 0.030). Conversely, subjects homozygous for the minor allele of rs4580704 showed higher triglyceride (p = 0.012), and LDL-cholesterol levels (p = 0.44), and a greater adherence to the Mediterranean diet (MD) (p = 0.044). In addition, AAC, AAG, GGC and AGC (rs1801260–rs11932595–rs4580704) haplotypes were analyzed: AAG was associated with higher risk of overweight (p = 0.008), hypertriglyceridemia (p = 0.040) and hypercholesterolemia (p = 0.036); GGC with lower risk of hyperglycemia (p = 0.022), better sleep pattern (p = 0.001) and with better score at mini-mental state examination (p = 0.010); AGC with lower risk of depression (p = 0.026) and AAC with lower adherence to the MD (p = 0.028). Therefore, CLOCK gene polymorphisms let us hypothesize an involvement in the quality of aging in a cohort of nonagenarians.

CLOCK gene polymorphisms and quality of aging in a cohort of nonagenarians – The MUGELLO Study / Giuditta Pagliai, Francesco Sofi, Monica Dinu, Elena Sticchi, Federica Vannetti, Raffaele Molino Lova, José Marìa Ordovàs, Anna Maria Gori, Rossella Marcucci, Betti Giusti, Claudio Macchi. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - STAMPA. - 9:(2019), pp. 1472-1478. [10.1038/s41598-018-37992-8]

CLOCK gene polymorphisms and quality of aging in a cohort of nonagenarians – The MUGELLO Study

Giuditta Pagliai
Writing – Original Draft Preparation
;
Francesco Sofi
Writing – Original Draft Preparation
;
Monica Dinu
Membro del Collaboration Group
;
Elena Sticchi
Formal Analysis
;
Federica Vannetti;Anna Maria Gori
Formal Analysis
;
Rossella Marcucci
Writing – Review & Editing
;
Betti Giusti
Writing – Review & Editing
;
Claudio Macchi
Writing – Review & Editing
2019

Abstract

A total of 356 elderly subjects [257F; 88–106 years] were genotyped for three polymorphisms of the CLOCK gene by TaqMan real-time PCR approach, in order to find associations with quality of aging. Subjects homozygous for the minor allele of rs1801260 were less frequently overweight (p = 0.046), had higher fasting glucose levels (p = 0.037), better scores at the Clock Drawing Test (CDT) (p = 0.047) and worse scores at the Geriatric Depression Scale (p = 0.032). Subjects homozygous for the minor allele of rs11932595 showed higher fasting glucose levels (p = 0.044) and better scores at CDT (p = 0.030). Conversely, subjects homozygous for the minor allele of rs4580704 showed higher triglyceride (p = 0.012), and LDL-cholesterol levels (p = 0.44), and a greater adherence to the Mediterranean diet (MD) (p = 0.044). In addition, AAC, AAG, GGC and AGC (rs1801260–rs11932595–rs4580704) haplotypes were analyzed: AAG was associated with higher risk of overweight (p = 0.008), hypertriglyceridemia (p = 0.040) and hypercholesterolemia (p = 0.036); GGC with lower risk of hyperglycemia (p = 0.022), better sleep pattern (p = 0.001) and with better score at mini-mental state examination (p = 0.010); AGC with lower risk of depression (p = 0.026) and AAC with lower adherence to the MD (p = 0.028). Therefore, CLOCK gene polymorphisms let us hypothesize an involvement in the quality of aging in a cohort of nonagenarians.
9
1472
1478
Goal 3: Good health and well-being
Giuditta Pagliai, Francesco Sofi, Monica Dinu, Elena Sticchi, Federica Vannetti, Raffaele Molino Lova, José Marìa Ordovàs, Anna Maria Gori, Rossella Marcucci, Betti Giusti, Claudio Macchi
File in questo prodotto:
File Dimensione Formato  
CLOCK.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 1.21 MB
Formato Adobe PDF
1.21 MB Adobe PDF Visualizza/Apri

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1148931
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 12
social impact