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Systemic inflammation in relation to exceptional memory in the Long Life Family Study (LLFS).
Patel, Ruhee; Cosentino, Stephanie; Zheng, Esther Zhiwei; Schupf, Nicole; Barral, Sandra; Feitosa, Mary; Andersen, Stacy L; Sebastiani, Paola; Ukraintseva, Svetlana; Christensen, Kaare; Zmuda, Joseph; Thyagarajan, Bharat; Gu, Yian.
Afiliação
  • Patel R; Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA.
  • Cosentino S; Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA.
  • Zheng EZ; Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA.
  • Schupf N; Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA.
  • Barral S; Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA.
  • Feitosa M; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
  • Andersen SL; Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
  • Sebastiani P; Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA.
  • Ukraintseva S; Social Sciences Research Institute, Duke University, Durham, NC, 27705, USA.
  • Christensen K; Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, 5230, Odense, Denmark.
  • Zmuda J; Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
  • Thyagarajan B; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA.
  • Gu Y; Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA.
Brain Behav Immun Health ; 37: 100746, 2024 May.
Article em En | MEDLINE | ID: mdl-38476338
ABSTRACT
Background and

objectives:

We previously found a substantial familial aggregation of healthy aging phenotypes, including exceptional memory (EM) in long-lived persons. In the current study, we aim to assess whether long-lived families with EM and without EM (non-EM) differ in systemic inflammation status and trajectory.

Methods:

The current study included 4333 participants of the multi-center Long Life Family Study (LLFS). LLFS families were classified as EM (556 individuals from 28 families) or non-EM (3777 individuals from 416 families), with 2 or more offspring exhibiting exceptional memory performance (i.e. having baseline composite z-score representing immediate and delayed story memory being 1.5 SD above the mean in the nondemented offspring sample) considered as EM. Blood samples from baseline were used to measure inflammatory biomarkers including total white blood cell (WBC) and its subtypes (neutrophils, lymphocytes, monocytes) count, platelet count, high sensitivity C-reactive protein, and interleukin-6. Generalized linear models were used to examine cross-sectional differences in inflammatory biomarkers at baseline. In a sub-sample of 2227 participants (338 subjects from 24 EM families and 1889 from 328 non-EM families) with repeated measures of immune cell counts, we examined whether the rate of biomarker change differed between EM and non-EM families. All models were adjusted for family size, relatedness, age, sex, education, field center, APOE genotype, and body mass index.

Results:

LLFS participants from EM families had a marginally higher monocyte count at baseline (b = 0.028, SE = 0.0110, p = 0.010) after adjusting for age, sex, education, and field site, particularly in men (p < 0.0001) but not in women (p = 0.493) (p-interaction = 0.003). Over time, monocyte counts increased (p < 0.0001) in both EM and non-EM families, while lymphocytes and platelet counts decreased over time in the non-EM families (p < 0.0001) but not in the EM families. After adjusting for multiple variables, there was no significant difference in biomarker change over time between the EM and non-EM families.

Discussion:

Compared with non-EM families, EM families had significantly higher monocyte count at baseline but had similar change over time. Our study suggests that differences in monocyte counts may be a pathway through which EM emerges in some long-lived families, especially among men.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article