title: Enhanced Molecular Aging in Late-Life Depression: the Senescent-Associated Secretory Phenotype.
abstract: This study aims to investigate whether a systemic molecular pattern associated with aging (senescent-associated secretory phenotype [SASP]) is elevated in adults with late-life depression (LLD), compared with never-depressed elderly comparison participants.
  
  
  
  Cross-sectional study.
  
  
  
  We included 111 older adults (80 with LLD and 31 comparison participants) in this study.
  
  
  
  A panel of 22 SASP-related proteins was extracted from a previous multiplex protein panel performed in these participants. We conducted a principal component analysis to create the SASP index based on individual weights of each of protein.
  
  
  
  Participants with LLD showed a significantly increased SASP index compared with comparison participants, after controlling for age, depressive symptoms, medical comorbidity (CIRS-G) scores, sex, and cognitive performance (F(1,98)= 7.3, p = 0.008). Correlation analyses revealed that the SASP index was positively correlated with age (r = 0.2, p = 0.03) and CIRS score (r = 0.27, p = 0.005), and negatively correlated with information processing speed (r = -0.34, p = 0.001), executive function (r = -0.27, p = 0.004) and global cognitive performance (r = -0.28, p = 0.007).
  
  
  
  To the best of our knowledge, this is the first study to show that a set of proteins (i.e., SASP index) primarily associated with cellular aging is abnormally regulated and elevated in LLD. These results suggest that individuals with LLD display enhanced aging-related molecular patterns that are associated with higher medical comorbidity and worse cognitive function. Finally, we provide a set of proteins that can serve as potential therapeutic targets and biomarkers to monitor the effects of therapeutic or preventative interventions in LLD.
authors.affiliation: Department of Psychiatry & Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX. Electronic address: brenosatler@gmail.com.
authors.forename: Breno Satler
authors.initials: BS
authors.lastname: Diniz
authors.affiliation: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
authors.forename: Charles F
authors.initials: CF
authors.lastname: Reynolds
authors.affiliation: Departments of Psychiatry and of Pharmacology and Toxicology, Campbell Family Mental Health Research Institute of CAMH, University of Toronto, Toronto, Ontario, Canada.
authors.forename: Etienne
authors.initials: E
authors.lastname: Sibille
authors.affiliation: Department of Statistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA.
authors.forename: Chien-Wei
authors.initials: CW
authors.lastname: Lin
authors.affiliation: Department of Statistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA.
authors.forename: George
authors.initials: G
authors.lastname: Tseng
authors.affiliation: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
authors.forename: Francis
authors.initials: F
authors.lastname: Lotrich
authors.affiliation: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
authors.forename: Howard J
authors.initials: HJ
authors.lastname: Aizenstein
authors.affiliation: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
authors.forename: Meryl A
authors.initials: MA
authors.lastname: Butters
mesh_terms: D000375:Aging / Q000378:metabolism*; D016922:Cellular Senescence / Q000502:physiology*; D060825:Cognitive Dysfunction / Q000503:physiopathology*; D003430:Cross-Sectional Studies; D003863:Depression / Q000378:metabolism*; D006801:Humans; D008279:Magnetic Resonance Imaging; D010641:Phenotype; D066127:White Matter / Q000000981:diagnostic imaging*
keywords: aging; cognitive performance; late-life depression; senescent associated secretory phenotype