Magyar

Csaba Kerepesi

I am a group leader at HUN-REN SZTAKI, Budapest, Hungary. My research focuses to mathematics and informatics that can help against diseases and aging.

• Address: HUN-REN SZTAKI, Lágymányosi u. 11., 1111 Budapest, Hungary
• Contact: kerepesi (at) sztaki.hu, +36 1 279 6154
• Profiles: Google Scholar, MTMT, Twitter, Curriculum Vitae.

Publication list

Journal papers and preprints:

2025:

• Muralidharan C, Zakar-Polyák E, Adami A, Abbas AA, Sharma Y, Garza R, Johansson JG, Atacho DAM, Renner É, Palkovits M, Kerepesi C, Jakobsson J, Pircs K
  Human Brain Cell-Type-Specific Aging Clocks Based on Single-Nuclei Transcriptomics
  Advanced Science, Vol 12, Issue 43, e061092025 (2025) [PDF], D1

• Kawamura T, Kerepesi C, Sarkar JP, Torma F, Bori Z, Zhou L, Bakonyi P, Kolonics A, Balogh L, Higuchi M, Pillár V, Pircs K, Koch LG, Britton SL, Koltai E, Radak Z
  Organ Specificity and Commonality of Epigenetic Aging in Low- and High-Running Capacity Rats
  Aging Cell, Vol 24, Issue 8, e70110 (2025) [PDF], D1

• Farkas G, El Mahdaouy Z, Babszky G, Jokai M, Torma F, Gu Y, Pinho R, Miklossy I, Gordevicius J, Benczúr A, Kerepesi C, Radak Z
  Associations of epigenetic aging and COVID‑19: A 3‑year longitudinal study
  Geroscience, Vol 47, pages 4889–4898 (2025) [PDF], D1

• Kovács KA, Kerepesi C, Rapcsák D, Madaras L, Nagy Á, Takács A, Dank M, Szentmártoni Gy, Szász AM, Kulka J, Tőkés AM
  Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences
  Scientific Reports, 15, 4868 (2025) [PDF], Q1

• Radák Z, Aczél D, Fejes I, Mozaffaritabar S, Pavlik G, Komka Z, Balogh L, Babszki Z, Babszki G, Koltai E, McGreevy KM, Gordevicius J, Horvath S, Kerepesi C
  Slowed epigenetic aging in Olympic champions compared to non-champions
  GeroScience, Vol 47, pages 2555–2565 (2025) [PDF], D1

2024:

• Gladyshev VN et al.
  Disagreement on foundational principles of biological aging
  PNAS Nexus, (2024) [PDF], D1

• Zakar-Polyák E, Csordas A, Pálovics R, Kerepesi C
  Profiling the transcriptomic age of single-cells in humans
  Communications Biology, 7:1397 (2024) [PDF] , D1

• Castro JP, Shindyapina AV, Barbieri A, Ying K, Strelkova OS, Paulo JA, Tyshkovskiy A, Meinl R, Kerepesi C, Petrashen AP, Mariotti M, Meer MV, Hu Y, Karamyshev A, Losyev G, Galhardo M, Logarinho E, Indzhykulian AA, Gygi SP, Sedivy JM, Manis JP, Gladyshev VM
  Age-associated clonal B cells drive B cell lymphoma in mice
  Nature Aging, Vol 13 (2024) [PDF], C1

• Torma F, Kerepesi C, Jókai M, Babszki G, Koltai E, Ligeti B, Kalcsevszki R, McGreevy KM, Horvath S, Radák Z
  Alterations of the gut microbiome are associated with epigenetic age acceleration and physical fitness
  Aging Cell, Volume 23, Issue 4 (2024) [PDF], D1

• Kerepesi C, Abushukair HM, Ricciuti B, Nassar AH, Adib E, Alessi JV, Pecci F, Rakaee M, Fadlullah MZH, Tőkés A-M, Rodig SJ, Awad MM, Tan AC, Bakacs T, Naqash AR
  Association of Baseline Tumor-Specific Neoantigens and CD8+ T-Cell Infiltration With Immune-Related Adverse Events Secondary to Immune Checkpoint Inhibitors
  JCO Precision Oncology, Vol 8 (2024) [PDF], D1

• Juhász V, Ország A, Balla D, Szabó L, Sydó N, Kiss O, Csulak E, Babity M, Dohy Z, Skoda R, Becker D, Merkely B, Benczúr A, Vágó H, Kerepesi C
  Blood Test-Based age Acceleration Is Inversely Associated with High-Volume Sports Activity
  Medicine & Science in Sports & Exercise, 56(5):p 868-875 (2024), D1

• Griffin PT, Kane AE, Trapp A, Li J, Arnold M, Poganik JR, Conway RJ, McNamara MS, Meer MV, Hoffman N, Amorim JA, Tian X, MacArthur MR, Mitchell SJ, Mueller AL, Carmody C, Vera DL, Kerepesi C, Ying K, Hooten NN, Mitchell JR, Evans MK, Gladyshev VN & Sinclair DA
  TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction
  Nature Aging, Vol 4, pages 261–274 (2024) [PDF], C1

2023:

• Szatmári E-Z, Csordás A, Kerepesi C
  Unique Patterns in Amino Acid Sequences of Aging-Related Proteins
  Advanced Biology, Volume 8, Issue 2 (2023) [PDF], Q1

• Kerepesi C, Gladyshev VN
  Intersection clock reveals a rejuvenation event during human embryogenesis
  Aging Cell, Vol 22, Issue 10 (2023) [PDF], D1

• Sturm Á, Saskői É, Hotzi B, Tarnóci A, Barna J, Bodnár F, Sharma H, Kovács T, Ari E, Weinhardt N, Kerepesi C, Perczel A, Ivics Z, Vellai T
  Downregulation of transposable elements extends lifespan in Caenorhabditis elegans
  Nature Communications 14, 5278 (2023) [PDF], D1

• Ying K, Tyshkovskiy A, Trapp A, Liu H, Moqri M, Kerepesi C, Gladyshev VN
  ClockBase: a comprehensive platform for biological age profiling in human and mouse
  bioRxiv (March 01, 2023) [PDF]

• Zhang B, Lee DE, Trapp A, Tyshkovskiy A, Lu AT, Bareja A, Kerepesi C, McKay LK, Shindyapina AV, Dmitriev SE, Baht GS, Horvath S, Gladyshev VN, White JP
  Multi-omic rejuvenation and life span extension on exposure to youthful circulation
  Nature Aging, Vol 3, pages 948–964 (2023) [PDF], C1

• Jokai M, Torma F, McGreevy KM, Koltai E, Bori Z, Babszki G, Bakonyi P, Gombos Z, Gyorgy B, Aczel D, Toth L, Osvath P, Fridvalszky M, Teglas T, Posa A, Kujach S, Olek R, Kawamura T, Seki Y, Suzuki K, Tanisawa K, Goto S, Kerepesi C, Boldogh I, Ba X, Davies KJA, Horvath S, Radak Z
  DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation
  Geroscience, Vol 45, 2805–2817 (2023) [PDF], D1

• Poganik JR, Zhang B, Baht GS, Kerepesi C, Yim SH, Lu AT, Gong T, Hedman AM, Andolf E, Pershagen G, Almqvist C, White JP, Horvath S, Gladyshev VN
  Biological age is increased by stress and restored upon recovery
  Cell Metabolism, 35, 1-14. (2023) [PDF], C1

2022:

• Kerepesi C, Meer MV, Ablaeva J, Amoroso VG, Lee S-G, Zhang B, Gerashchenko MV, Trapp A, Yim SH, Lu AT, Levine ME, Seluanov A, Horvath S, Park TJ, Gorbunova V, Gladyshev VN
  Epigenetic aging of the demographically non-aging naked mole-rat
  Nature Communications, 13, 355 (2022) [PDF], D1

• Nyéki A, Daróczy B, Kerepesi C, Neményi M, Kovács AJ
  Spatial Variability of Soil Properties and Its Effect on Maize Yields within Field—A Case Study in Hungary
  Agronomy, Vol 12, No. 395 (2022) [PDF], Q1

• Mariotti M, Kerepesi C, Oliveros W, Mele M, Gladyshev VN
  Deterioration of the human transcriptome with age due to increasing intron retention and spurious splicing
  bioRxiv (March 14, 2022) [PDF]

2021:

• Zhang B, Trapp A, Kerepesi C, Gladyshev VN
  Emerging rejuvenation strategies—Reducing the biological age
  Aging Cell, Volume 21, Issue 1 (2021) [PDF], D1

• Trapp A, Kerepesi C, Gladyshev VN
  Profiling epigenetic age in single cells
  Nature Aging, Vol 1, pages 1189–1201 (2021) [PDF]

• Khera N, Santesmasses D, Kerepesi C, Gladyshev VN
  COVID-19 mortality rate in children is U-shaped
  Aging, Vol 13, Issue 16, pp 19954—19962 (2021) [PDF], Q2

• Nyéki A, Kerepesi C, Daróczy B, Benczúr A, Milics G, Nagy J, Harsányi E, Kovács AJ, Neményi M
  Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods
  Precision Agriculture, Vol 22, pp 1397–1415 (2021) [PDF], D1

• Kerepesi C, Zhang B, Lee SG, Trapp A, Gladyshev VN
  Epigenetic clocks reveal a rejuvenation event during embryogenesis followed by aging
  Science Advances, Vol 7, Issue 26 (2021) [PDF], D1

2020:

• Santesmasses D, Castro JP, Zenin AA, Shindyapina AV, Gerashchenko MV, Zhang B, Kerepesi C, Yim SH, Fedichev PO, Gladyshev VN
  COVID-19 is an emergent disease of aging
  Aging Cell, Volume 19, Issue 10 (2020) [PDF], D1

• Kerepesi C, Bakacs T, Moss RW, Slavin S, Colin CA
  Significant association between tumor mutational burden and immune‑related adverse events during immune checkpoint inhibition therapies
  Cancer Immunology, Immunotherapy, Vol 69, pp 683–687 (2020) [PDF], D1

2019:

• Nyéki A, Kerepesi C, Daróczy B, Benczúr A, Milics G, Kovács AJ, Neményi M
  Maize yield prediction based on artificial intelligence using spatio-temporal data
  Precision agriculture '19 (2019) [PDF]

• Kerepesi C, Bakács T, Szabados T
  MiStImm: an agent-based simulation tool to study the self-nonself discrimination of the adaptive immune response
  Theoretical Biology and Medical Modelling, 16:9 (2019) [PubMed] [PDF], Q2

• Szalkai B, Kerepesi C, Varga B, Grolmusz V
  High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics
  PLOS ONE, 14(4):e0215473 (2019) [PubMed] [PDF], D1

• Mendik P, Dobronyi L, Hári F, Kerepesi C, Maia-Moço L, Buszlai D, Csermely P, Veres DV
  Translocatome: a novel resource for the analysis of protein translocation between cellular organelles
  Nucleic Acids Research, Volume 47, Issue D1 (2019). [PubMed] [PDF], D1

2018:

• Kerepesi C, Daróczy B, Sturm Á, Vellai T, Benczúr A
  Prediction and characterization of human ageing-related proteins by using machine learning
  Scientific Reports, Vol 8, 4094 (2018). [PubMed] [PDF], D1

• Kerepesi C, Varga B, Szalkai B, Grolmusz V
  The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain
  Neuroscience Letters 673:51-55 (2018). [PubMed], Q3

• Kerepesi C, Szalkai B, Varga B, Grolmusz V
  Comparative connectomics: Mapping the inter-individual variability of connections within the regions of the human brain
  Neuroscience Letters, Vol 662, pp 17-21, (2018). [PubMed], Q3

2017:

• Kerepesi C, Szalkai B, Varga B, Grolmusz V
  The braingraph.org database of high resolution structural connectomes and the brain graph tools
  Cognitive Neurodynamics, Vol 11, Issue 5 (2017). [PubMed] [PDF], Q3


• Kerepesi C, Grolmusz V
  The "Giant Virus Finder" Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys
  Archives of Virology, Vol 162, Issue 6, pp 1671–1676 (2017). [PubMed] [PDF], Q1


• Kerepesi C
  Data Mining in Genomics, Metagenomics and Connectomics
  PhD Thesis (2017). [PDF]


• Bakacs T, Kristóf K, Mehrishi J, Szabados T, Kerepesi C, Regoes E, Tusnady G
  Autoimmune T-cells induced by low dose immune checkpoint blockade could be a powerful therapeutic tool in cancer through activation of eliminative inflammation and immunity
  Internal Medicine Review, Vol 3, No 4 (2017). [PDF]


• Szabó A, Korponai K, Kerepesi C, Somogyi B, Vörös L, Bartha D, Márialigeti K, Felföldi T
  Soda pans of the Pannonian steppe harbor unique bacterial communities adapted to multiple extreme conditions
  Extremophiles, Vol 21, Issue 3 (2017). [PubMed] [PDF], Q2


• Szalkai B, Kerepesi C, Varga B, Grolmusz V
  Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0
  Cognitive Neurodynamics, 11(1), pp. 113-116, (2017). [PubMed] [PDF], Q3

2016:

• Kerepesi C, Szabó JE, Papp-Kádár V, Dobay O, Szabó D, Grolmusz V and Vertessy BG
  Life without dUTPase
  Frontiers in Microbiology, 7:1768 (2016). [PubMed] [PDF], Q1


• Kerepesi C, Szalkai B, Varga B, Grolmusz V
  How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain
  PLOS ONE, 11(6): e0158680 (2016). [PubMed] [PDF], D1


• Kerepesi C, Grolmusz V
  Evaluating the Quantitative Capabilities of Metagenomic Analysis Software
  Current Microbiology, Vol 72, Issue 5, pp 612-616 (2016). [PubMed] [PDF], Q2


• Kerepesi C, Grolmusz V
  Giant viruses of the Kutch Desert
  Archives of Virology, Vol 161, Issue 3, pp 721-724 (2016). [PubMed] [PDF], Q1

2015:

• Szalkai B, Kerepesi C, Varga B, Grolmusz V
  The Budapest Reference Connectome Server v2.0
  Neuroscience Letters, Vol 595, pp 60–62 (2015). [PubMed], Q2


• Kerepesi C, Szalkai B, Grolmusz V
  Visual Analysis of the Quantitative Composition of Metagenomic Communities: the AmphoraVizu Webserver
  Microbial Ecology, Vol 69, Issue 3, pp 695-697 (2015). [PubMed] [PDF], Q1

2014:

• Kerepesi C, Bánky D, Grolmusz V
  AmphoraNet: The webserver implementation of the AMPHORA2 metagenomic workflow suite
  Gene, Vol 533, Issue 2, pp 538-540 (2014). [PubMed], Q1