» Articles » PMID: 35034116

Interactions Between Weight Loss and Plasma Neurodegenerative Markers for Determining Cognitive Decline Among Community-Dwelling Older Adults

Abstract

This study aimed to investigate the interaction between weight loss (WL) and plasma amyloid-β 42/40 (Aβ 42/40), neurofilament light chain (NfL), progranulin, and their association with cognitive decline over time among older adults. This 5-year observational approach included 470 participants from the Multidomain Alzheimer Preventive Trial, mean age 76.8 years (SD = 4.5), 59.4% women. WL was defined as ≥5% decrease over the first year. Biomarkers were measured at 12 months. Cognitive function was assessed yearly from 12 months onward by Mini-Mental State Examination (MMSE); Clinical Dementia Rating sum of boxes (CDR-SB); a composite score based on Category Naming Test; Digit Symbol Substitution Test; 10 MMSE orientation items (MMSEO) and free and total recall of the Free and Cued Selective Reminding test; and these tests individually. Twenty-seven participants (5.7%) presented WL. In adjusted analyses, combined WL + lower Aβ 42/40 (≤0.103, lowest quartile) was related with more pronounced 4-year cognitive decline according to CDR-SB (p < .0001) and MMSEO (p = .021), compared with non-WL + higher Aβ 42/40. WL + higher NfL (>94.55 pg/mL, highest quartile) or progranulin (>38.4 ng/mL, 3 higher quartiles) were related with higher cognitive decline according to CDR-SB, MMSE, MMSEO, and composite score (all p < .03), compared with non-WL + lower NfL or higher progranulin. Regrouping progranulin quartiles (Q1-Q3 vs Q4) revealed higher cognitive decline among the WL + lower progranulin group compared with non-WL + lower progranulin. In conclusion, 1-year WL was associated with subsequent higher 4-year cognitive decline among older adults presenting low Aβ 42/40 or high NfL. Future studies combining plasma biomarker assessments and body weight surveillance may be useful for identifying people at risk of cognitive impairment. Clinical trial number: NCT00672685.

Citing Articles

Nutrition: A non-negligible factor in the pathogenesis and treatment of Alzheimer's disease.

Wen B, Han X, Gong J, Wang P, Sun W, Xu C Alzheimers Dement. 2025; 21(2):e14547.

PMID: 39868840 PMC: 11863745. DOI: 10.1002/alz.14547.


Associations between Vitality/Nutrition and the Other Domains of Intrinsic Capacity Based on Data from the INSPIRE ICOPE-Care Program.

Gaussens L, Gonzalez-Bautista E, Bonnefoy M, Briand M, Tavassoli N, De Souto Barreto P Nutrients. 2023; 15(7).

PMID: 37049408 PMC: 10096560. DOI: 10.3390/nu15071567.

References
1.
Finch N, Baker M, Crook R, Swanson K, Kuntz K, Surtees R . Plasma progranulin levels predict progranulin mutation status in frontotemporal dementia patients and asymptomatic family members. Brain. 2009; 132(Pt 3):583-91. PMC: 2664450. DOI: 10.1093/brain/awn352. View

2.
Newman A, Yanez D, Harris T, Duxbury A, Enright P, Fried L . Weight change in old age and its association with mortality. J Am Geriatr Soc. 2002; 49(10):1309-18. DOI: 10.1046/j.1532-5415.2001.49258.x. View

3.
Karantali E, Kazis D, Chatzikonstantinou S, Petridis F, Mavroudis I . The role of neurofilament light chain in frontotemporal dementia: a meta-analysis. Aging Clin Exp Res. 2020; 33(4):869-881. DOI: 10.1007/s40520-020-01554-8. View

4.
Shen X, Niu L, Wang Y, Cao X, Liu Q, Tan L . Inflammatory markers in Alzheimer's disease and mild cognitive impairment: a meta-analysis and systematic review of 170 studies. J Neurol Neurosurg Psychiatry. 2019; 90(5):590-598. DOI: 10.1136/jnnp-2018-319148. View

5.
Conte M, Martucci M, Chiariello A, Franceschi C, Salvioli S . Mitochondria, immunosenescence and inflammaging: a role for mitokines?. Semin Immunopathol. 2020; 42(5):607-617. PMC: 7666292. DOI: 10.1007/s00281-020-00813-0. View