Online ISSN: 1945-4589

Special Collection on Biomarkers


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Table of Contents

Effects of dietary restriction on adipose mass and biomarkers of healthy aging in human

Daniele Lettieri-Barbato, Esmeralda Giovannetti, Katia Aquilano,
https://doi.org/10.18632/aging.101122 pp 3341—3355
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Deep biomarkers of aging are population-dependent

Alan A. Cohen, Vincent Morissette-Thomas, Luigi Ferrucci, Linda P. Fried,
https://doi.org/10.18632/aging.101034 pp 2253—2255
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Deep biomarkers of human aging: Application of deep neural networks to biomarker development

Evgeny Putin, Polina Mamoshina, Alexander Aliper, Mikhail Korzinkin, Alexey Moskalev, Alexey Kolosov, Alexander Ostrovskiy, Charles Cantor, Jan Vijg, Alex Zhavoronkov,
https://doi.org/10.18632/aging.100968 pp 1021—1030
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Telomere length is a prognostic biomarker in elderly advanced ovarian cancer patients: a multicenter GINECO study

Claire Falandry, Béatrice Horard, Amandine Bruyas, Eric Legouffe, Jacques Cretin, Jérôme Meunier, Jérôme Alexandre, Valérie Delecroix, Michel Fabbro, Marie-Noëlle Certain, Raymonde Maraval-Gaget, Eric Pujade-Lauraine, Eric Gilson, Gilles Freyer,
https://doi.org/10.18632/aging.100840 pp 1066—1074
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Proteomic identification of prognostic tumour biomarkers, using chemotherapy-induced cancer-associated fibroblasts

Maria Peiris-Pagès, Duncan L. Smith, Balázs Győrffy, Federica Sotgia, Michael P. Lisanti,
https://doi.org/10.18632/aging.100808 pp 816—838
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What biomarkers (if any) for precise medicine?

Sabrina Strano, Paola Muti, Giovanni Blandino,
https://doi.org/10.18632/aging.100798 pp 533—534
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Biomarkers and subtypes of cancer

Maud H.W. Starmans, Paul C. Boutros,
https://doi.org/10.18632/aging.100741 pp 280—281
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HGF-MET as a breast cancer biomarker

Shuying Liu,
https://doi.org/10.18632/aging.100735 pp 150—151
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Methylated TRF2 associates with the nuclear matrix and serves as a potential biomarker for cellular senescence

Taylor R. H Mitchell, Xu-Dong Zhu,
https://doi.org/10.18632/aging.100650 pp 248—263
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Plasma microRNA biomarkers for detection of mild cognitive impairment: Biomarker Validation Study

Kira S. Sheinerman, Vladimir G. Tsivinsky, Laila Abdullah, Fiona Crawford, Samuil R. Umansky,
https://doi.org/10.18632/aging.100624 pp 925—938
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Specific lipofuscin staining as a novel biomarker to detect replicative and stress-induced senescence. A method applicable in cryo-preserved and archival tissues

EA Georgakopoulou, K Tsimaratou, K Evangelou, Marcos-PJ Fernandez, V Zoumpourlis, IP Trougakos, D Kletsas, J Bartek, M Serrano, VG Gorgoulis,
https://doi.org/10.18632/aging.100527 pp 37—50
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The mitochondria-targeted antioxidant SkQ1 but not N-acetylcysteine reverses aging-related biomarkers in rats

Nataliya G. Kolosova, Natalia A. Stefanova, Natalia A. Muraleva, Vladimir P. Skulachev,
https://doi.org/10.18632/aging.100493 pp 686—694
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Plasma microRNA biomarkers for detection of mild cognitive impairment

Kira S. Sheinerman, Vladimir G. Tsivinsky, Fiona Crawford, Michael J. Mullan, Laila Abdullah, Samuil R. Umansky,
https://doi.org/10.18632/aging.100486 pp 590—605
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Circulatory miR-34a as an RNA-based, noninvasive biomarker for brain aging

Xiaoli Li, Amit Khanna, Na Li, Eugenia Wang,
https://doi.org/10.18632/aging.100371 pp 985—1002
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Recent developments in the use of γ -H2AX as a quantitative DNA double-strand break biomarker

Christophe E. Redon, Asako J. Nakamura, Olga A. Martin, Palak R. Parekh, Urbain S. Weyemi, William M. Bonner,
https://doi.org/10.18632/aging.100284 pp 168—174
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