Aging’s Top 10 Papers in 2023 (Crossref Data)

Crossref is a non-profit organization that logs and updates citations for scientific publications. Each month, Crossref identifies a list of the most popular Aging (Aging-US) papers based on the number of times a DOI is successfully resolved. 

Below are Crossref’s Top 10 Aging DOIs in 2023.


#10: Old-age-induced obesity reversed by a methionine-deficient diet or oral administration of recombinant methioninase-producing Escherichia coli in C57BL/6 mice

DOI: https://doi.org/10.18632/aging.204783

Authors: Yutaro Kubota, Qinghong Han, Jose Reynoso, Yusuke Aoki, Noriyuki Masaki, Koya Obara, Kazuyuki Hamada, Michael Bouvet, Takuya Tsunoda, and Robert M. Hoffman

Institutions: AntiCancer Inc., University of California San Diego and Showa University School of Medicine 

Quote: “This is the first report that showed the efficacy of methionine restriction to reverse old-age-induced obesity.”


#9: Metformin use history and genome-wide DNA methylation profile: potential molecular mechanism for aging and longevity

DOI: https://doi.org/10.18632/aging.204498 

Authors: Pedro S. Marra, Takehiko Yamanashi, Kaitlyn J. Crutchley, Nadia E. Wahba, Zoe-Ella M. Anderson, Manisha Modukuri, Gloria Chang, Tammy Tran, Masaaki Iwata, Hyunkeun Ryan Cho, and Gen Shinozaki

Institutions: Stanford University School of Medicine, University of Iowa, Tottori University Faculty of Medicine, University of Nebraska Medical Center College of Medicine, and Oregon Health and Science University School of Medicine 

Quote: “In this study, we compared genome-wide DNA methylation rates among metformin users and nonusers […]”


#8: Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis

DOI: https://doi.org/10.18632/aging.204787 

Authors: Jérôme Salignon, Omid R. Faridani, Tasso Miliotis, Georges E. Janssens, Ping Chen, Bader Zarrouki, Rickard Sandberg, Pia Davidsson, and Christian G. Riedel

Institutions: Karolinska Institutet, University of New South Wales, Garvan Institute of Medical Research, and AstraZeneca

Quote: “[…] we see our work as an indication that combining different molecular data types could be a general strategy to improve future aging clocks.”


#7: Characterization of the HDAC/PI3K inhibitor CUDC-907 as a novel senolytic

DOI: https://doi.org/10.18632/aging.204616 

Authors: Fares Al-Mansour, Abdullah Alraddadi, Buwei He, Anes Saleh, Marta Poblocka, Wael Alzahrani, Shaun Cowley, and Salvador Macip

Institutions: University of Leicester, Najran University and Universitat Oberta de Catalunya

Quote: “The mechanisms of induction of senescent cell death by CUDC-907 remain to be fully elucidated.”


#6: Potential reversal of biological age in women following an 8-week methylation-supportive diet and lifestyle program: a case series

DOI: https://doi.org/10.18632/aging.204602 

Authors: Kara N. Fitzgerald, Tish Campbell, Suzanne Makarem, and Romilly Hodges

Institutions: Institute for Functional Medicine, Virginia Commonwealth University and the American Nutrition Association

Quote: “[…] these data suggest that a methylation-supportive diet and lifestyle intervention may favorably influence biological age in both sexes during middle age and older.”


#5: Leukocyte telomere length, T cell composition and DNA methylation age

DOI: https://doi.org/10.18632/aging.101293 

Authors: Brian H. Chen, Cara L. Carty, Masayuki Kimura, Jeremy D. Kark, Wei Chen, Shengxu Li, Tao Zhang, Charles Kooperberg, Daniel Levy, Themistocles Assimes, Devin Absher, Steve Horvath, Alexander P. Reiner, and Abraham Aviv

Institutions: National Institute on Aging, National Heart, Lung and Blood Institute, George Washington University, Children’s National Medical Center, Rutgers State University of New Jersey, Hebrew University-Hadassah School of Public Health and Community Medicine, Tulane University, Fred Hutchinson Cancer Research Center, Stanford University School of Medicine, HudsonAlpha Institute for Biotechnology, University of California LA, and University of Washington

Quote: “The two key observations of this study are: (a) LTL is inversely correlated with EEAA; and (b) the LTL-EEAA correlation largely reflects the proportions of imputed naïve and memory CD8+ T cell populations in the leukocytes from which DNA was extracted.”


#4: DNA methylation GrimAge strongly predicts lifespan and healthspan

DOI: https://doi.org/10.18632/aging.101684 

Authors: Ake T. Lu, Austin Quach, James G. Wilson, Alex P. Reiner, Abraham Aviv, Kenneth Raj, Lifang Hou, Andrea A. Baccarelli, Yun Li, James D. Stewart, Eric A. Whitsel, Themistocles L. Assimes, Luigi Ferrucci, and Steve Horvath

Institutions: University of California LA, University of Mississippi Medical Center, Fred Hutchinson Cancer Research Center, Rutgers State University of New Jersey, Public Health England, Northwestern University Feinberg School of Medicine, Columbia University Mailman School of Public Health, University of North Carolina, Chapel Hill, Stanford University School of Medicine, VA Palo Alto Health Care System, and National Institutes of Health 

Quote: “We coin this DNAm-based biomarker of mortality “DNAm GrimAge” because high values are grim news, with regards to mortality/morbidity risk. Our comprehensive studies demonstrate that DNAm GrimAge stands out when it comes to associations with age-related conditions, clinical biomarkers, and computed tomography data.”


#3: Deep biomarkers of aging and longevity: from research to applications

DOI: https://doi.org/10.18632/aging.102475 

Authors: Alex Zhavoronkov, Ricky Li, Candice Ma, and Polina Mamoshina

Institutions: Insilico Medicine, The Buck Institute for Research on Aging, The Biogerontology Research Foundation, Sinovation Ventures, Sinovation AI Institute, and Deep Longevity, Ltd

Quote: “Here we present the current state of development of the deep aging clocks in the context of the pharmaceutical research and development and clinical applications.”


#2: An epigenetic biomarker of aging for lifespan and healthspan

DOI: https://doi.org/10.18632/aging.101414 

Authors: Morgan E. Levine, Ake T. Lu, Austin Quach, Brian H. Chen, Themistocles L. Assimes, Stefania Bandinelli, Lifang Hou, Andrea A. Baccarelli, James D. Stewart, Yun Li, Eric A. Whitsel, James G Wilson, Alex P Reiner, Abraham Aviv, Kurt Lohman, Yongmei Liu, Luigi Ferrucci, and Steve Horvath

Institutions: University of California LA, National Institute on Aging, Stanford University School of Medicine, Azienda Toscana Centro, Northwestern University Feinberg School of Medicine, Columbia University Mailman School of Public Health, University of North Carolina, Chapel Hill, University of Mississippi Medical Center, Fred Hutchinson Cancer Research Center, Rutgers State University of New Jersey, and Wake Forest School of Medicine

Quote: “Overall, this single epigenetic biomarker of aging is able to capture risks for an array of diverse outcomes across multiple tissues and cells, and provide insight into important pathways in aging.”


#1: Chemically induced reprogramming to reverse cellular aging

DOI: https://doi.org/10.18632/aging.204896

Authors: Jae-Hyun Yang, Christopher A. Petty, Thomas Dixon-McDougall, Maria Vina Lopez, Alexander Tyshkovskiy, Sun Maybury-Lewis, Xiao Tian, Nabilah Ibrahim, Zhili Chen, Patrick T. Griffin, Matthew Arnold, Jien Li, Oswaldo A. Martinez, Alexander Behn, Ryan Rogers-Hammond, Suzanne Angeli, Vadim N. Gladyshev, and David A. Sinclair

Institutions: Harvard Medical School, University of Maine and Massachusetts Institute of Technology (MIT) 

Quote: “We identify six chemical cocktails, which, in less than a week and without compromising cellular identity, restore a youthful genome-wide transcript profile and reverse transcriptomic age. Thus, rejuvenation by age reversal can be achieved, not only by genetic, but also chemical means.”

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