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Noa Rappaport

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Articles 40
Citations 3837
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Recent Articles
1.
Rogina B, Anderson R, LeBrasseur N, Curan S, Yousefzadeh M, Ghosh B, et al.
J Gerontol A Biol Sci Med Sci . 2025 Feb; PMID: 39932386
The aging process is universal, and it is characterized by a progressive deterioration and decrease in physiological function leading to decline on the organismal level. Nevertheless, a number of genetic...
2.
Ellis D, Watanabe K, Wilmanski T, Lustgarten M, Ardisson Korat A, Glusman G, et al.
bioRxiv . 2024 Nov; PMID: 39605362
Apolipoprotein E ( ) modifies human aging; specifically, the ε2 and ε4 alleles are among the strongest genetic predictors of longevity and Alzheimer's disease (AD) risk, respectively. However, detailed mechanisms...
3.
Sebastiani P, Monti S, Lustgarten M, Song Z, Ellis D, Tian Q, et al.
Cell Rep . 2024 Nov; 43(11):114913. PMID: 39504246
Metabolites that mark aging are not fully known. We analyze 408 plasma metabolites in Long Life Family Study participants to characterize markers of age, aging, extreme longevity, and mortality. We...
4.
Johnson-Martinez J, Diener C, Levine A, Wilmanski T, Suskind D, Ralevski A, et al.
Cell Rep Med . 2024 Jul; 5(7):101646. PMID: 39019013
Bowel movement frequency (BMF) directly impacts the gut microbiota and is linked to diseases like chronic kidney disease or dementia. In particular, prior work has shown that constipation is associated...
5.
Quinn-Bohmann N, Wilmanski T, Sarmiento K, Levy L, Lampe J, Gurry T, et al.
Nat Microbiol . 2024 Jun; 9(7):1700-1712. PMID: 38914826
Microbially derived short-chain fatty acids (SCFAs) in the human gut are tightly coupled to host metabolism, immune regulation and integrity of the intestinal epithelium. However, the production of SCFAs can...
6.
Don J, Schork A, Glusman G, Rappaport N, Cummings S, Duggan D, et al.
Geroscience . 2024 Mar; 46(4):3911-3927. PMID: 38451433
Large-scale genome-wide association studies (GWAS) strongly suggest that most traits and diseases have a polygenic component. This observation has motivated the development of disease-specific "polygenic scores (PGS)" that are weighted...
7.
Zhang Y, Qin G, Aguilar B, Rappaport N, Yurkovich J, Pflieger L, et al.
Front Digit Health . 2024 Feb; 6:1336050. PMID: 38343907
Introduction: A digital twin is a virtual representation of a patient's disease, facilitating real-time monitoring, analysis, and simulation. This enables the prediction of disease progression, optimization of care delivery, and...
8.
Yurkovich J, Evans S, Rappaport N, Boore J, Lovejoy J, Price N, et al.
Nat Rev Genet . 2023 Dec; 25(4):286-302. PMID: 38093095
Modern health care faces several serious challenges, including an ageing population and its inherent burden of chronic diseases, rising costs and marginal quality metrics. By assessing and optimizing the health...
9.
Watanabe K, Wilmanski T, Baloni P, Robinson M, Garcia G, Hoopmann M, et al.
Commun Biol . 2023 Nov; 6(1):1208. PMID: 38012377
No abstract available.
10.
Burns A, Wiedrick J, Feryn A, Maes M, Midha M, Baxter D, et al.
Geroscience . 2023 Aug; 46(2):1543-1560. PMID: 37653270
Using mouse models and high-throughput proteomics, we conducted an in-depth analysis of the proteome changes induced in response to seven interventions known to increase mouse lifespan. This included two genetic...