The transcriptional landscape of age in human peripheral blood

Peters, Marjolein J., Joehanes, Roby, Pilling, Luke C., Schurmann, Claudia, Conneely, Karen N., Powell, Joseph, Reinmaa, Eva, Sutphin, George L., Zhernakova, Alexandra, Schramm, Katharina, Wilson, Yana A., Kobes, Sayuko, Tukiainen, Taru, NABEC/UKBEC Consortium, Nalls, Michael A., Hernandez, Dena G., Cookson, Mark R., Gibbs, Raphael J., Hardy, John, Ramasamy, Adaikalavan, Zonderman, Alan B., Dillman, Allissa, Traynor, Bryan, Smith, Colin, Longo, Dan L., Trabzuni, Daniah, Troncoso, Juan, van der Brug, Marcel, Weale, Michael E., O'Brien, Richard, Johnson, Robert, Walker, Robert, Zielke, Ronald H., Arepalli, Sampath, Ryten, Mina, Singleton, Andrew B., Ramos, Yolande F., Göring, Harald H. H., Fornage, Myriam, Liu, Yongmei, Gharib, Sina A., Stranger, Barbara E., De Jager, Philip L., Aviv, Abraham, Levy, Daniel, Murabito, Joanne M., Munson, Peter J., Huan, Tianxiao, Hofman, Albert, Uitterlinden, André G., Rivadeneira, Fernando, van Rooij, Jeroen, Stolk, Lisette, Broer, Linda, Verbiest, Michael M. P. J., Jhamai, Mila, Arp, Pascal, Metspalu, Andres, Tserel, Liina, Milani, Lili, Samani, Nilesh J., Peterson, Pärt, Kasela, Silva, Codd, Veryan, Peters, Annette, Ward-Caviness, Cavin K., Herder, Christian, Waldenberger, Melanie, Roden, Michael, Singmann, Paula, Zeilinger, Sonja, Illig, Thomas, Homuth, Georg, Grabe, Hans-Jörgen, Völzke, Henry, Steil, Leif, Kocher, Thomas, Murray, Anna, Melzer, David, Yaghootkar, Hanieh, Bandinelli, Stefania, Moses, Eric K., Kent, Jack W., Curran, Joanne E., Johnson, Matthew P., Williams-Blangero, Sarah, Westra, Harm-Jan, McRae, Allan F., Smith, Jennifer A., Kardia, Sharon L. R., Hovatta, Iiris, Perola, Markus, Ripatti, Samuli, Salomaa, Veikko, Henders, Anjali K., Martin, Nicholas G., Smith, Alicia K., Mehta, Divya, Binder, Elisabeth B., Nylocks, K Maria, Kennedy, Elizabeth M., Klengel, Torsten, Ding, Jingzhong, Suchy-Dicey, Astrid M., Enquobahrie, Daniel A., Brody, Jennifer, Rotter, Jerome I., Chen, Yii-Der I., Houwing-Duistermaat, Jeanine, Kloppenburg, Margreet, Slagboom, P. Eline, Helmer, Quinta, den Hollander, Wouter, Bean, Shannon, Raj, Towfique, Bakhshi, Noman, Wang, Qiao Ping, Oyston, Lisa J., Psaty, Bruce M., Tracy, Russell P., Montgomery, Grant W., Turner, Stephen T., Blangero, John, Meulenbelt, Ingrid, Ressler, Kerry J., Yang, Jian, Franke, Lude, Kettunen, Johannes, Visscher, Peter M., Neely, G. Gregory, Korstanje, Ron, Hanson, Robert L., Prokisch, Holger, Ferrucci, Luigi, Esko, Tonu, Teumer, Alexander, van Meurs, Joyce B. J., Johnson, Andrew D.·2015·Nature Communications

Cited by (725)

Items 401–500 of 725

  1. RNA-seq analysis of gene expression profiles in posttraumatic stress disorder, Parkinson’s disease and schizophrenia identifies roles for common and distinct biological pathways
    Sian M. J. Hemmings, Patricia Swart, Jacqueline Samantha Womersley, Ellen S. Ovenden, Leigh L. van den Heuvel, Nathaniel W. McGregor, Stuart Meier, Soraya Bardien, Shameemah Abrahams, Gerard Tromp et al. · 2022 · Discover Mental Health
  2. Prognostic and immune correlation analysis of mitochondrial autophagy and aging-related genes in lung adenocarcinoma
    Xiangzhi Meng, Weijian Song, Boxuan Zhou, Mei Liang, Yushun Gao · 2023 · Journal of Cancer Research and Clinical Oncology
  3. Gene Expression Profiles for the Identification of Prevalent Atrial Fibrillation
    Sébastien Thériault, Richard Paul Whitlock, Kripa Raman, Jessica Vincent, Salim Yusuf, Guillaume Paré · 2017 · Journal of the American Heart Association
  4. Male reproductive tract antimicrobial expression in the extremes of ages of rats
    Kumari Sangeeta, Suresh Yenugu · 2019 · Gene
  5. The Transcriptome and Methylome of the Developing and Aging Brain and Their Relations to Gliomas and Psychological Disorders
    Henry Loeffler‐Wirth, Lydia Hopp, Maria Schmidt, Roksana Zakharyan, Arsen Arakelyan, Hans Binder · 2022 · Cells
  6. Dynamic alterations of immunosenescence-related genes in older women with breast cancer receiving chemotherapy: A prospective study
    Qi Wu, Barbara Anna Henk Brouwers, Bruna Dalmasso, Cindy Kenis, Peter Vuylsteke, Guy Debrock, Ann Smeets, Annouschka Laenen, Hans P. M. W. Wildiers, Sigrid Hatse · 2022 · Translational Oncology
  7. A high-quality annotated transcriptome of swine peripheral blood
    Haibo Liu, Timothy P. L. Smith, Dan Nonneman, Jack C. M. Dekkers, Christopher Keith Tuggle · 2017 · BMC Genomics
  8. Challenges and perspectives of preventive medicine in primary care
    Oksana M. Drapkina, Irina V. Samorodskaya, Vera N. Larina · 2018 · Russian Journal of Preventive Medicine
  9. An Overview of the Molecular and Cellular Biomarkers of Aging
    Ilya A. Solovev, Mikhail Vyacheslavovich Shaposhnikov, Alexey Moskalev · 2019 · Healthy ageing and longevity
  10. Proteomic architecture of frailty across the spectrum of cardiovascular disease
    Andrew Perry, Shilin Zhao, Priya Gajjar, Venkatesh Locharla Murthy, Benoit Lehallier, Patricia Miller, Sangeeta Nair, Colin Neill, J. Jeffrey Carr, William Fuller Fearon et al. · 2023 · Aging Cell
  11. ELO-6 expression predicts longevity in isogenic populations of Caenorhabditis elegans
    Weilin Kong, Guoli Gu, Tong Dai, Beibei Chen, Yanli Wang, Zheng Zeng, Mintie Pu · 2024 · Nature Communications
  12. Epigenetic attenuation of interferon signaling is associated with aging-related improvements in systemic lupus erythematosus
    Rithwik Narendra, Hoang Van Phan, Sarah L. Patterson, Ana Almonte-Loya, Cristina Lanata, Christina Love, Joonsuk Park, Emily Lydon, Michiko Shimoda, Lisa F. Barcellos et al. · 2025 · Science Translational Medicine
  13. Transcriptomic analyses of peripheral blood mononuclear cells reveal age-specific basal and acute exercise responsiveness differences in humans
    Bradley A. Ruple, Nicholas A. Carlini, Jason S. Kofoed, Helya Rostamkhani, Brady E. Hanson, Isaac Wilcox, Jesse C. Craig, Shelby C. Osburn, Micah John Drummond, Ryan Michael Broxterman et al. · 2025 · American Journal of Physiology-Endocrinology and Metabolism
  14. Developing a novel aging assessment model to uncover heterogeneity in organ aging and screening of aging-related drugs
    Yingqi Xu, Maohao Li, Congxue Hu, Yawen Luo, Xing Gao, Xinyu Li, Xia Li, Yunpeng Zhang · 2025 · Genome Medicine
  15. DNA methylation and prediction of biological age
    Yanfang Chen, Xiangshu Cheng, Shaoping Ji · 2026 · Frontiers in Molecular Biosciences
  16. Atlas of lysosomal aging reveals a metabolite signature shared with lysosomal storage disorders
    Anna M. Puszynska, Thao P. Nguyen, Andrew L. Cangelosi, Andrea Armani, Justin M. Roberts, Kristin A. Singh, James C. Cameron, Tenzin Tseyang, Grace Y. Liu, Steven Lai et al. · 2026 · Science
  17. Poly(A) RNA sequencing reveals age-related differences in the prefrontal cortex of dogs
    Sára Sándor, David A. Jonas, Kitti Tátrai, Kálmán Czeibert, Enikő Kubinyi · 2022 · GeroScience
  18. Minimum standards for evaluating machine-learned models of high-dimensional data
    Brian H. Chen · 2022 · Frontiers in Aging
  19. Association of Circadian Clock Gene Expression with Pediatric/Adolescent Asthma and Its Comorbidities
    Nguyen Quoc Vuong Tran, Minh‐Khang Le, Thuy-An Nguyen, Tetsuo Kondo, Atsuhito Nakao · 2023 · International Journal of Molecular Sciences
  20. Genome-Wide Integrative Transcriptional Profiling Identifies Age-Associated Signatures in Dogs
    Hyun Seung Kim, Subin Jang, Jaemin Kim · 2023 · Genes
  21. Transcriptome-based measurement of CD8+ T cell age and its applications
    Nan‐ping Weng · 2023 · Trends in Immunology
  22. Reappraisal of the Concept of Accelerated Aging in Neurodegeneration and Beyond
    Yauhen A. Statsenko, Nikolai V. Kuznetsov, Daria Morozova, Katsiaryna Liaonchyk, Gillian Lylian Simiyu, Darya Smetanina, Aidar Kashapov, Sarah Meribout, Klaus Gorkom, Rifat Hamoudi et al. · 2023 · Cells
  23. Epitranscriptome analysis of NAD-capped RNA by spike-in-based normalization and prediction of chronological age
    Dean Li, Shuwen Ge, Yandong Liu, Miaomiao Pan, Xueting Wang, Guojing Han, Sili Zou, Rui Liu, Kongyan Niu, Chao Zhao et al. · 2023 · iScience
  24. Genome‐wide profiles of DNA damage represent highly accurate predictors of mammalian age
    Huifen Cao, Bolin Deng, Tianrong Song, Jiabian Lian, Lu Xia, Xiaojing Chu, Yufei Zhang, Fujian Yang, Chunlian Wang, Ye Cai et al. · 2024 · Aging Cell
  25. Host-microbe multiomic profiling identifies distinct COVID-19 immune dysregulation in solid organ transplant recipients
    Harry C. Pickering, Joanna M. D. Schaenman, Hoang Van Phan, Cole P. Maguire, Alexandra Tsitsiklis, Nadine Rouphael, Nelson Iván Agudelo Higuita, Mark A. Atkinson, Scott C. Brakenridge, Monica Fung et al. · 2025 · Nature Communications
  26. Associations between joint effusion in the knee and gene expression levels in the circulation: a meta-analysis
    Marjolein J. Peters, Y.F. Ramos, Wouter den Hollander, Dieuwke Schiphof, Albert Hofman D, André Gerardus Uitterlinden, Edwin H. G. Oei, P. Eline Slagboom, M. Kloppenburg, Johan L. Bloem et al. · 2016 · F1000Research
  27. Longitudinal profiling of the blood transcriptome in an African green monkey aging model
    Ja-Rang Lee, Se-Hee Choe, Young-Hyun Kim, Hyeon-Mu Cho, Hyeri Park, Hee-Eun Lee, Yeung Bae Jin, Ji-Su Kim, Kang Jin Jeong, Sang-Je Park et al. · 2020 · Aging
  28. Transcriptional Reprogramming in Rumen Epithelium during the Developmental Transition of Pre-Ruminant to the Ruminant in Cattle
    R.L. Baldwin, Mei Liu, Erin E. Connor, T. G. Ramsay, George E. Liu, Congjun Li · 2021 · Animals
  29. Network Analysis of Gene Expression
    Roby Joehanes · 2018 · Methods in molecular biology
  30. Biomarker Signatures Predicting 10-Year All-Cause and Disease-Specific Mortality
    Yanxia Lu, Gianni Monaco, Xavier Camous, Anand Kumar Andiappan, Olaf Rötzschke, Tze Pin Ng, Anis Larbi · 2018 · The Journals of Gerontology Series A
  31. Exome Sequencing Analysis Identifies Rare Variants in ATM and RPL8 That Are Associated With Shorter Telomere Length
    Ashley van der Spek, Sophie Warner, Linda Broer, Christopher P. Nelson, Dina Vojinović, Shahzad Ahmad, Pascal Arp, Rutger W. W. Brouwer, Matthew J. Denniff, Mirjam C. G. N. van den Hout et al. · 2020 · Frontiers in Genetics
  32. Exercise Partially Rejuvenates Muscle Stem Cells
    James W. Larrick, Andrew R. Mendelsohn · 2020 · Rejuvenation Research
  33. Correction for both common and rare cell types in blood is important to identify genes that correlate with age
    Damiano Pellegrino-Coppola, Annique Claringbould, Maartje D. Stutvoet, Dorret Irene Boomsma, M. Arfan Ikram, P. Eline Slagboom, Harm-Jan Westra, Lude Franke · 2021 · BMC Genomics
  34. Analysis of the aging-related biomarker in a nonhuman primate model using multilayer omics
    Yunpeng Liu, Shuaiyao Lu, Jing Yang, Yun Yang, Jiao Li, Jingwen Hu, Yanyan Li, Fengmei Yang, Yunli Pang, Yuan Zhao et al. · 2024 · BMC Genomics
  35. Integration of multi-modal datasets to estimate human aging
    Rogério Ribeiro, Athos Moraes, Marta Moreno, Pedro Gabriel Ferreira · 2024 · Machine Learning
  36. Scale bar of aging trajectories for screening personal rejuvenation treatments
    Xilin Shen, Bingbing Wu, Wei Min Jiang, Yu Li, Yuping Zhang, Kun Zhao, Nanfang Nie, Lin Gong, Yixiao Liu, Xiaohui Zou et al. · 2022 · Computational and Structural Biotechnology Journal
  37. Understanding the biological processes of kidney carcinogenesis: an integrative multi-omics approach
    Ricardo Cortez Cardoso Penha, Alexandra Sexton‐Oates, Sergey Senkin, Hanla A. Park, Joshua Atkins, Ivana Holcátová, Anna Horňáková, Slaviša Savić, Simona Ognjanovic, Beata Świątkowska et al. · 2024 · Molecular Systems Biology
  38. Biological age prediction using a DNN model based on pathways of steroidogenesis
    Qiuyi Wang, Zi Wang, Kenji Mizuguchi, Toshifumi Takao · 2025 · Science Advances
  39. Modern Molecular Genetic Methods for Age Estimation in Forensics
    А. Д. Золотаренко, Evgeny Chekalin, Sergey Alexandrovich Bruskin · 2019 · Russian Journal of Genetics
  40. Identification of hub genes, key pathways, and therapeutic agents in Hutchinson–Gilford Progeria syndrome using bioinformatics analysis
    Dengchuan Wang, Shengshuo Liu, Shi Xu · 2020 · Medicine
  41. Building on a Legacy of Hypertension Research
    George A. Mensah, Zorina S. Galis, Lawrence J. Fine, Melissa E. Garcia, Daniel A Levy, Gary H. Gibbons · 2016 · Hypertension
  42. Determining histone H4 acetylation patterns in human peripheral blood mononuclear cells using mass spectrometry
    Esther Marie Bux, Victor Solis‐Mezarino, Christoph Kuhm, Bernd H. Northoff, Ivan Karin, Thomas Klopstock, Lesca Miriam Holdt, Moritz Carl Völker-Albert, Axel Imhof, Shahaf Peleg · 2019 · Clinical mass spectrometry
  43. Human Age Estimation from Gene Expression Data using Artificial Neural Networks
    Salman Mohamadi, Nasser M. Nasrabadi, Gianfranco Doretto, Donald Adjeroh · 2021 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  44. Systematic Selection of Age-Associated mRNA Markers and the Development of Predicted Models for Forensic Age Inference by Three Machine Learning Methods
    Xiaoye Jin, Zheng Ren, Hongling Zhang, Qiyan Wang, Yubo Liu, Jingyan Ji, Jiang Huang · 2022 · Frontiers in Genetics
  45. An Overview on G Protein-coupled Receptor-induced Signal Transduction in Acute Myeloid Leukemia
    Frode Selheim, Elise Aasebø, Catalina Ribas, Anna M. Aragay · 2019 · Current Medicinal Chemistry
  46. Expression of SMARCD1 interacts with age in association with asthma control on inhaled corticosteroid therapy
    Michael J. McGeachie, Joanne E. Sordillo, Amber Dahlin, Alberta L. Wang, Sharon Marie Lutz, Kelan G. Tantisira, Ronald Allan M. Panganiban, Quan Lu, Satria P. Sajuthi, Cydney Urbanek et al. · 2020 · Respiratory Research
  47. Sex-specific gene expression in the blood of four primates
    Jiao Wang, Yue Lan, Lewei He, Ruixiang Tang, Yuhui Li, Yuan Chun Huang, Liang Shan, Zhan Gao, Megan Price, Bisong Yue et al. · 2021 · Genomics
  48. Plasma microRNA signatures of aging and their links to health outcomes and mortality: findings from a population-based cohort study
    Lieke M Kuiper, Michelle M. J. Mens, Julia Wei Wu, Jaap Goudsmit, Yuan Ma, Liming Liang, Albert Hofman D, Trudy Voortman, M. Arfan Ikram, Jeroen van Rooij et al. · 2025 · Genome Medicine
  49. Development and validation of an age prediction model using mRNA markers
    Mengxiao Liao, Anqi Chen, Yujia Xuan, Jinyuan Zhao, Sitong Liu, Yu Xing, Suhua Zhang, Chengtao Li · 2025 · Forensic Science International Genetics
  50. Decoding the role of transcriptomic clocks in the human prefrontal cortex
    José Jaime Martínez‐Magaña, Anna H.C. Vlot, Kyle A. Sullivan, Daniel A. Jacobson, John Harrison Krystal, Matthew J. Girgenti, Diana L. Núñez-Ríos, Sheila T. Nagamatsu, Diego Andrade-Brito, Jean Merlet et al. · 2026 · iScience
  51. Association of Biological Age with Tumor Microenvironment in Patients with Esophageal Adenocarcinoma
    Cor J. Ravensbergen, Yara van Holstein, Sophie C. Hagenaars, A. Stijn L. P. Crobach, Stella Trompet, Johanneke E. A. Portielje, Nienke A. de Glas, Diana van Heemst, Frederiek van den Bos, Rob A.�E.�M. Tollenaar et al. · 2024 · Gerontology
  52. Development of a microRNA-Based age estimation model using whole-blood microRNA expression profiling
    Yanfang Lu, Anqi Chen, Mengxiao Liao, Ruiyang Tao, Shubo Wen, Suhua Zhang, Chengtao Li · 2025 · Non-coding RNA Research
  53. Transcriptomic Profiling of Duodenal Epithelium Reveals Temporally Dynamic Impacts of Direct Duodenal Starch-Infusion During Dry Period of Dairy Cattle
    Congjun Li, Shudai Lin, María José Ranilla, R.L. Baldwin · 2019 · Frontiers in Veterinary Science
  54. A network approach to compute hypervolume under receiver operating characteristic manifold for multi‐class biomarkers
    Qunqiang Feng, Pan Liu, Pei Fen Kuan, Fei Zou, Jianan Chen, Jialiang Li · 2023 · Statistics in Medicine
  55. Objectively Measured Physical Activity in Asymptomatic Middle-Aged Men Is Associated With Routine Blood-Based Biomarkers
    Karol Mateusz Pencina, Zhuoying Li, Monty A Montano · 2019 · The Journals of Gerontology Series A
  56. Age-related gene expression alterations by SARS-CoV-2 infection contribute to poor prognosis in elderly
    Upasana Bhattacharyya, Bittianda Kuttapa Thelma · 2020 · Journal of Genetics
  57. Assessment of severity and mortality of COVID‐19 with anti‐A1 and anti‐B IgM isohaemagglutinins, a reflection of the innate immune status
    Fatih Özçelik, Alpaslan Tanoğlu, Bülent Barış GÜVEN, Ümran Keskin, Mustafa Kaplan · 2021 · International Journal of Clinical Practice
  58. The DNA Methylome: An Interface Between the Environment, Immunity, and Ageing
    Lisa M. McEwen, Sarah J. Goodman, Michael Steffen Kobor, Meaghan J. Jones · 2016 · Springer eBooks
  59. Identification of a T cell gene expression clock obtained by exploiting a MZ twin design
    Daniel Remondini, Nathan Intrator, Claudia Sala, Michela Pierini, Paolo Garagnani, Isabella Zironi, Claudio Franceschi, Stefano Salvioli, Gastone Castellani · 2017 · Scientific Reports
  60. Testing for batch effect through age predictors
    Polina Mamoshina, Kirill Kochetov, Eugene Lane, Alex Aliper, Alex A. Zhavoronkov · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  61. An integrated multi-omic natural history study of human development, sexual dimorphism, and the effects of trisomy 21
    Neetha Paul Eduthan, Micah G. Donovan, Paula Araya, Angela L. Rachubinski, Kelly D. Sullivan, Matthew D. Galbraith, Joaquin Maximiliano Espinosa · 2025 · Nature Communications
  62. Multitissue, multi–time point transcriptomic atlas of aging in mice and rats
    Tea Shavlakadze, Kun Xiong, Romain Donné, Corissa McEwen, Abhilash Gadi, Matthew Wakai, H. A. Salmon, Jacob Treinish, Elias Pavlopoulos, Larry Proctor et al. · 2026 · Science Advances
  63. Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing
    Ihor Kendiukhov · 2026 · Biogerontology
  64. Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood
    Cecilia Potente, Justin R. Chumbley, Wenjia Xu, Brandt E. Levitt, Steve W. Cole, Sudharshan Ravi, Julien Bodelet, Lauren M. Gaydosh, Kathleen Mullan Harris, Michael J. Shanahan · 2023 · American Journal of Epidemiology
  65. Transcriptome analysis of cynomolgus macaques throughout their lifespan reveals age-related immune patterns
    Hyeon-Mu Cho, Se-Hee Choe, Ja-Rang Lee, Hyeri Park, Min-Gyeong Ko, Yun-Jung Lee, Hwal-Yong Lee, Sung Hyun Park, Sang-Je Park, Younghyun Kim et al. · 2024 · npj Aging
  66. Pterostilbene Targets Hallmarks of Aging in the Gene Expression Landscape in Blood of Healthy Rats
    Marco A. Tello‐Palencia, Tony Yang, Olga Sularz, Louis Erik Demers, Yuexi Ma, Cayla Boycott, Huiying Amelie Zhang, Katarzyna Lubecka, Sadhri Kumar, Benjamin S. Ramsey et al. · 2024 · Molecular Nutrition & Food Research
  67. Towards deciphering the bone marrow microenvironment with spatial multi-omics
    Raymond K. H. Yip, Edwin D. Hawkins, Rory J. Bowden, Kelly L. Rogers · 2025 · Seminars in Cell and Developmental Biology
  68. Deep Reinforcement Learning-Driven Multi-Omics Integration for Constructing gtAge: A Novel Aging Clock from the IgG N-Glycome and Blood Transcriptome
    Yao Xia, Syed Mohammed Shamsul Islam, Xingang Li, Abdul Baten, Xuerui Tan, Wei Wang · 2025 · Engineering
  69. Biological vascular age and its relationship with cardiovascular risk factors
    Anna A. Akopyan, Irina Dmitrievna Strazhesko, V. G. Klyashtorny, Yа. A. Orlova · 2022 · CARDIOVASCULAR THERAPY AND PREVENTION
  70. Toxoplasma gondii infection and peripheral-blood gene expression profiling of older people reveals dysregulation of cytokines and identifies hub genes as potential therapeutic targets
    Carlos Andrés Naranjo Galvis, Kelly J. Cardona‐Londoño, Mary Orrego Cardozo, Xabier Elcoroaristizabal-Martín · 2022 · Heliyon
  71. Mitochondria: A “pacemaker” for species-specific development
    Yasmine J. Liu, Johan H. Auwerx · 2023 · Molecular Cell
  72. SATB1, senescence and senescence‐related diseases
    Wenjing Qi, Jinping Bai, Ruoxi Wang, Xianlu Zeng, Lihui Zhang · 2024 · Journal of Cellular Physiology
  73. Epigenetics in Drug Disposition & Drug Therapy: Symposium Report of the 24th North American Meeting of the International Society for the Study of Xenobiotics (ISSX)
    B. Maldonato, Ana G. Vergara, J. Yadav, Sarah M. Glass, Erickson M. Paragas, Dong-Ying Li, P. Lazarus, J. McClay, B. Ning, A. Daly et al. · 2022 · Drug metabolism reviews (Softcover ed.)
  74. A Computational Framework to Characterize the Cancer Drug Induced Effect on Aging Using Transcriptomic Data
    Yueshan Zhao, Yue Wang, Da Yang, Kangho Suh, Min Zhang · 2022 · Frontiers in Pharmacology
  75. Current methods for sarcopenia diagnosis in patients with impaired carbohydrate metabolism
    Ekaterina A. Khoroshunova, Ю. Г. Самойлова, М.В. Матвеева, Dmitry Anatolievich Kudlay, A.I. Miroshnichenko, Igor V. Mosienko, Юн Вера Эдуардовна, Трифонова Екатерина Ивановна, П. И. Захарчук, T.D. Vachadze et al. · 2022 · Russian Journal of Preventive Medicine
  76. Systematic characterization of the ovarian landscape across mouse menopause models
    Minhoo Kim, Rajyk Bhala, Justin Wang, Xucheng Liang, Mingfei Chen, Ryan J. Lu, Evelyn H. Lee, Julio L. Alvarenga, Rapheal G. Williams, Bérénice Anath Benayoun · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  77. Inflammatory age and its impact on age-related health in older Chinese adults
    Rui Zhen Wang, Wei Sen Zhang, Chao Qiang Jiang, Feng Zhu, Ya Li Jin, Lin Xu · 2024 · Archives of Gerontology and Geriatrics
  78. Transcriptome alterations in long-term mining region residents: Insights into immune response and molecular pathways
    Ani Stepanyan, Arsen Arakelyan, Jonathan Schug · 2025 · Environment International
  79. Accelerated retinal ageing and multimorbidity in middle-aged and older adults
    Ruiye Chen, Xiaomin Zeng, Wenyi Hu, Deepak Jeyarajan, Zhen Yu, Wei Wang, Zongyuan Ge, Xianwen Shang, Mingguang He, Zhuoting Zhu · 2025 · GeroScience
  80. Human Peripheral Blood Leukocyte Transcriptome-Based Aging Clock Reveals Acceleration of Aging by Bacterial or Viral Infections
    Xin Gao, Sijia Li, Jianping Cai · 2025 · The Journals of Gerontology Series A
  81. Pasta, a Versatile Transcriptomic Clock, Maps the Chemical and Genetic Determinants of Aging and Rejuvenation
    Jérôme Salignon, Maria Tsiokou, Patricia Marqués, Enriqueta Rodríguez-Diaz, Hazel Xiaohui Ang, Federico Pietrocola, Christian G. Riedel · 2026 · Advanced Science
  82. Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA)
    Eric T. Klopack, Gokul Seshadri, Thalida Em Arpawong, Steve Cole, Bharat Thyagarajan, Eileen M. Crimmins · 2025 · Aging
  83. Single-cell transcriptomics reveal intrinsic and systemic T cell aging in COVID-19 and HIV
    Alan Tomusiak, Sierra Lore, Morten Scheibye‐Knudsen, Eric Verdin · 2026 · Aging
  84. Histone modification clocks for robust cross-species biological age prediction and elucidating senescence regulation
    Zhixin Niu, Chang Liu, Yurong Fan, Lei Gu · 2026 · Proceedings of the National Academy of Sciences
  85. An snRNA-seq aging clock for the fruit fly head sheds light on sex-biased aging
    Nikolai Tennant, Ananya Pavuluri, Gunjan Singh, Kaitlyn Cortez, Kate O’Connor-Giles, Erica Larschan, Ritambhara Singh · 2026 · Scientific Reports
  86. Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geriatric rehabilitation inpatients: RESORT
    Lihuan Guan, Camilla S.L. Tuttle, Fedor Galkin, Alex A. Zhavoronkov, Andrea Britta Maier · 2024 · Experimental Gerontology
  87. An integrated transcriptomic analysis of brain aging and strategies for healthy aging
    Haiying Liu, Xin Nie, Fengwei Wang, Dandan Chen, Zhuo Zeng, Peng Shu, Junjiu Huang · 2024 · Frontiers in Aging Neuroscience
  88. An Update on Neuroaging on Earth and in Spaceflight
    Nikolai V. Kuznetsov, Yauhen A. Statsenko, Miloš Ljubisavljević · 2025 · International Journal of Molecular Sciences
  89. “Aging Clocks” Based on Cell-Free DNA
    Aleksandr V. Sergeev, Кисиль Ольга Валерьевна, Andrey A Eremin, Aleksandr S. Petrov, Maria I. Zvereva · 2025 · Biochemistry (Moscow)
  90. Dynamic and reversible transcriptomic age shifts induced by COVID-19 in Korean whole blood
    Kyungwhan An, Yoonsung Kwon, Jihun Bhak, Hyojung Ryu, Sungwon Jeon, Dougu Nam, Jong Bhak · 2025 · Aging
  91. Six Drivers of Aging Identified Among Genes Differentially Expressed With Age
    Ariella L. G. Coler-Reilly, Zachary Pincus, Erica L. Scheller, Roberto Civitelli · 2025 · Aging Cell
  92. Improving our understanding of the biology of aging: findings from the Age-It Research Program
    Fabrizio Chiti, Fiorenzo Conti, Daniela Corda, Francesco Giorgino, Andrea Graziani, Giuseppe Passarino, Marco Sandri, Fabrizio d’Adda di Fagagna · 2025 · The Journals of Gerontology Series B
  93. T Cell Transcriptome in Chromosome 22q11.2 Deletion Syndrome
    Nikita Raje, Janelle Noel‐MacDonnell, Katherine Shortt, Nicole M. Gigliotti, Marcia A. Chan, Daniel P. Heruth · 2022 · The Journal of Immunology
  94. Personalized medicine: will it work for decreasing age-related morbidities?
    Christopher R. Martens, Devin Wahl, Thomas J. LaRocca · 2022 · Elsevier eBooks
  95. Genome-Wide DNA Methylation Profile Indicates Potential Epigenetic Regulation of Aging in the Rhesus Macaque Thymus
    Hong Qiu, Haobo Li, Ruiwen Fan, Yang Song, Xuan Pan, Chunhui Zhang, Jing Li · 2022 · International Journal of Molecular Sciences
  96. Translating novel insights from age-related loss of skeletal muscle mass and phenotypic flexibility into diet and lifestyle recommendations for the elderly
    Joost JGC van den Borne, Urszula Kudla, Jan M.W. Geurts · 2016 · Current Opinion in Food Science
  97. Longevity as a Complex Genetic Trait
    George L. Sutphin, Ron Korstanje · 2015 · Elsevier eBooks
  98. Transcriptome States Reflect Imaging of Aging States
    David Mark Eckley, Christopher E. Coletta, Nikita V. Orlov, Mark A Wilson, Wendy B. Iser, Paul Bastian, Elin Lehrmann, Yonqing Zhang, Kevin G. Becker, I. Goldberg · 2017 · The Journals of Gerontology Series A
  99. DNA methylation predicts stroke outcome better
    Liyong Wang, Guillaume Paré, Tatjana Rundek · 2017 · Neurology
  100. Mouse Aging Cell Atlas Analysis Reveals Global and Cell Type Specific Aging Signatures Revision 1
    Martin Jinye Zhang, Angela Oliveira Pisco, Spyros Darmanis, James Zou · 2019 · bioRxiv (Cold Spring Harbor Laboratory)