Luigi Ferrucci

The paper generates lifespan normative charts for cervical spinal cord morphometry using MRI data, revealing non-linear changes and sex differences across ages 0-100.

This study profiles proteomic changes in iPSC-derived neurons exposed to Aβ42A, revealing AD-related pathways and validating findings in postmortem AD brain tissue.

The paper integrates cell-specific gene expression and chromatin accessibility to identify neurodegenerative disease risk loci specific to microglia.

The paper identifies DNA methylation variability and differential methylation regions associated with aging-related health decline and constructs an epigenetic biomarker that outperforms methylation-only biomarkers in predicting mortality.

SALRR provides a scalable platform for long-read RNA-seq analysis, identifying novel splice variants in human brain tissue.

The paper develops a proteomic signature, MitoAge, that predicts age-related mitochondrial health based on circulating factors in serum.

The paper identifies LANCL1-AS1 as a lncRNA that declines with age in human skeletal muscle, reduces mitochondrial activity, and impairs myogenesis by shortening mt-mRNA poly(A) tails.

This study shows that a 6-month lifestyle intervention reduces ER stress and inflammation while enhancing naive immune cell identity in older adults with metabolic disease.

DeepBranchAI reduces annotation time for 3D branching network segmentation by using a cascade workflow that transforms sparse labels into comprehensive training data.

The paper identifies metabolomic signatures associated with extreme old age using data from the New England Centenarian Study and links them to biological age and mortality risk.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

The paper compares epigenetic aging estimates between the 450K and EPICv2 arrays, finding that some clocks are affected by missing probes, but overall correlations remain strong.

The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.

The paper develops epigenetic clocks using long-read DNA methylation data from diverse ancestries, showing improved aging predictions and identifying ancestry-specific aging pathways.

This paper introduces SomaModules, a pathway enrichment approach for SomaScan data, showing improved enrichment compared to original gene sets in Alzheimer's Disease and mitochondrial pathway analyses.

The paper identifies sex-specific genetic loci associated with memory, executive functioning, and language performance in older adults through genome-wide meta-analyses.

This study evaluates how in vitro hemolysis and freeze-thaw cycles affect protein abundance measurements in SomaScan and Olink assays, identifying affected analytes and proposing quality control measures.

The paper profiles proteome and phosphoproteome dynamics during neuronal differentiation of the KOLF2.1J iPSC line, revealing distinct molecular signatures and kinase activity changes.

The paper investigates how endemic viral infections alter the neuronal proteome and links these changes to neurodegenerative disease pathways.

This study examines changes in motor unit conduction velocity after unilateral lower limb suspension and active recovery, finding that ion channel gene expression, particularly K+ transporters, correlates with these changes.

The paper presents a genomic data resource from a caloric restriction trial, including SNP genotypes and multi-omic longitudinal data from multiple tissues.

Across Baltimore Longitudinal Study of Aging replicates, fully normalized SomaScan 11K has median inter-plate coefficient of variation 5% (7K: 4.5%), intra-plate 3%, 7K inter-batch 8%.

CpGPT is a foundation model for DNA methylation analysis that outperforms specialized models in aging-related tasks and can impute methylation profiles across diverse conditions.

The paper identifies a protective variant CREB3R119G that reduces ALS risk and progression by modulating CREB3 activity in vulnerable neurons.

This study evaluates GSEA performance on RNA-seq data using TCGA and curated pathways, finding the classic permutation method offers better sensitivity-specificity tradeoffs than complex alternatives.

This study uses diffusion MRI to identify microstructural changes in the human brain associated with neurocognitive aging, finding that microstructural markers are more strongly linked to cognitive performance than macrostructural changes.

The paper identifies age-associated DNA methylation sites in immune cells and links them to transcription factor motifs and histone modifications, suggesting adaptive responses to oxygen fluctuations in aging.

This study conducts a multi-ancestry GWAS meta-analysis of Alzheimer's disease, identifies two novel loci, and assesses polygenic risk score generalizability across populations.

The paper develops DNAmFitAge, a biological age indicator that integrates physical fitness metrics with epigenetic clocks to assess aging and health risks.