Objective: Leukocyte telomere length (LTL) is a widely hypothesized biomarker of biological aging. Persons with shorter LTL may have a greater likelihood of developing dementia. We investigate whether LTL is associated with cognitive function, differently for individuals without cognitive impairment versus individuals with dementia or incipient dementia.
Method: Enrolled subjects belong to the Long Life Family Study (LLFS), a multi-generational cohort study, where enrollment was predicated upon exceptional family longevity. Included subjects had valid cognitive and telomere data at baseline. Exclusion criteria were age ≤ 60 years, outlying LTL, and missing sociodemographic/clinical information. Analyses were performed using linear regression with generalized estimating equations, adjusting for sex, age, education, country, generation, and lymphocyte percentage.
Results: Older age and male gender were associated with shorter LTL, and LTL was significantly longer in family members than spouse controls (p < 0.005). LTL was not associated with working or episodic memory, semantic processing, and information processing speed for 1613 cognitively unimpaired individuals as well as 597 individuals with dementia or incipient dementia (p < 0.005), who scored significantly lower on all cognitive domains (p < 0.005).
Conclusions: Within this unique LLFS cohort, a group of families assembled on the basis of exceptional survival, LTL is unrelated to cognitive ability for individuals with and without cognitive impairment. LTL does not change in the context of degenerative disease for these individuals who are biologically younger than the general population.
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http://dx.doi.org/10.1017/S1355617720000363 | DOI Listing |
Am J Med Sci
March 2025
Lung Transplant and ECMO Program, Department of Pulmonary, Critical Care and Sleep Medicine, University of Florida, Gainesville, Florida, USA. Electronic address:
Interstitial lung disease (ILD) is a known complication of Primary Sjögren's syndrome (SS). We report the case of a 56-year-old man with a history of SS (SS-A positive) who was admitted with ILD exacerbation, causing respiratory failure requiring extracorporeal life support. Given the family history of rapidly progressive ILD and mixed connective tissue disease in his brother, the patient was tested for short telomere syndrome (STS) during hospitalization and found to have leukocyte telomere length (LTL) around the first percentile, suggesting the diagnosis of STS.
View Article and Find Full Text PDFGeroscience
March 2025
Department of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Aging is driven by fundamental mechanisms like oxidative stress, telomere shortening and changes in DNA methylation, which together prepare the ground for age-related diseases. Botanical extracts, rich in bioactive phytoconstituents, represent a promising resource for developing therapies that target these mechanisms to promote healthy aging. This study explores the geroprotective potential of Monarda didyma L.
View Article and Find Full Text PDFEBioMedicine
March 2025
Center of Human Development and Aging, New Jersey Medical School, Rutgers, NJ, USA.
Background: Donor selection is a key success factor in allogeneic haematopoietic cell transplant (HCT). We evaluated the potential impact of donor leucocyte telomere length (LTL) and LTL shortening in recipients at three-month post-HCT (LTL-3MS) on the two-year HCT outcomes.
Methods: We identified a cohort of 384 HCT recipients for early-stage leukaemia or myelodysplastic syndrome in the Blood and Marrow Transplant Clinical Trial Network protocol#1202 with blood samples collected three-month post-HCT.
Discov Oncol
March 2025
Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Background: To investigate whether leukocyte telomere length (LTL) causally influences renal cell carcinoma (RCC) risk, this study applied Mendelian randomization (MR) analysis. Prior research examining LTL as a potential biomarker for RCC risk has yielded inconsistent findings.
Methods: We obtained summary-level LTL data from the UK Biobank genome-wide association study (n = 472,174) and gathered RCC data from both the FinnGen Consortium (n = 289,360) and the International Agency for Research on Cancer (IARC) (n = 13,230).
Long-tailed data are a special type of multiclass imbalanced data with a very large amount of minority/tail classes that have a very significant combined influence. Long-tailed learning (LTL) aims to build high-performance models on datasets with long-tailed distributions that can identify all the classes with high accuracy, in particular the minority/tail classes. It is a cutting-edge research direction that has attracted a remarkable amount of research effort in the past few years.
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