PMID- 35583231
OWN - NLM
STAT- MEDLINE
DCOM- 20220621
LR  - 20220624
IS  - 1557-8577 (Electronic)
IS  - 1549-1684 (Linking)
VI  - 25
IP  - 3
DP  - 2022 Jun
TI  - Plasma Proteomic Signature of Cellular Senescence and Markers of Biological Aging 
      Among Postmenopausal Women.
PG  - 141-148
LID - 10.1089/rej.2022.0024 [doi]
AB  - We aimed to investigate the association of circulatory senescence-associated 
      secretory phenotypes (SASPs) produced by senescent cells with chronological and 
      menopausal age in women aged 45 years or more. The proteomic profiles for 32 SASP 
      factors of plasma samples were measured in 76 healthy postmenopausal women aged 
      46-82 years from the Korean Genome and Epidemiology Study Cardiovascular Disease 
      Association Study (KoGES-CAVAS). We assessed the association between the SASP 
      factors and aging indicators (chronological age, menopausal age, and years since 
      menopause) using single- and multiprotein models. First, we composed a profile of 
      proteins associated with chronological age, menopausal age, and years since 
      menopause. In a single-protein model, three proteins (growth differentiation 
      factor 15 [GDF15], insulin-like growth factor binding protein-2 [IGFBP-2], and 
      tumor necrosis factor-alpha [TNF-alpha]) are positively associated with chronological 
      age. Menopausal age and years since menopause are interrelated with interleukin-8 
      (IL-8). The direction of association between menopausal age and monocyte 
      chemoattractant protein-1 (MCP-1) was only negative, and IGFBP-2 and TNF-alpha were 
      significant in all three aging factors. We also constructed parsimonious 
      multiprotein models to confirm the association of the proteomic signature for 
      aging after adjusting for covariates and the combination of proteomic signature 
      of 13 proteins (GDF15, interferon-gamma [IFN-gamma], IGFBP-2, IGFBP-7, IL-15, IL-1beta, 
      IL-17A, IL-8, MCP-1, tissue inhibitors of metalloproteinase-2 [TIMP-2], TNF-alpha, 
      vascular endothelial growth factor-A [VEGF-A], and interferon-inducible protein 
      10 [IP-10]) appear to be associated with chronological age and menopausal state 
      of individuals. Thus, by observing association between the selected SASPs and 
      age-related markers among healthy postmenopausal women, we examine how menopause 
      in women relates to proteomic indicators of aging and highlight the potential use 
      of SASP factors as a marker to reflect the state of biological aging attributed 
      by ovarian senescence.
FAU - Shin, Ji-Won
AU  - Shin JW
AD  - Department of Biomedical Sciences, Korea University, Seoul, Republic of Korea.
FAU - Lee, Eunil
AU  - Lee E
AD  - Department of Preventive Medicine, Korea University, Seoul, Republic of Korea.
FAU - Han, Seungbong
AU  - Han S
AD  - Department of Biostatistics, Korea University College of Medicine, Seoul, 
      Republic of Korea. Korea University, Seoul, Republic of Korea.
FAU - Choe, Seung-Ah
AU  - Choe SA
AD  - Department of Preventive Medicine, Korea University, Seoul, Republic of Korea.
AD  - Department of Division of Life Sciences, Korea University, Seoul, Republic of 
      Korea.
FAU - Jeon, Ok Hee
AU  - Jeon OH
AUID- ORCID: 0000-0002-3725-7526
AD  - Department of Biomedical Sciences, Korea University, Seoul, Republic of Korea.
LA  - eng
PT  - Journal Article
DEP - 20220603
PL  - United States
TA  - Rejuvenation Res
JT  - Rejuvenation research
JID - 101213381
RN  - 0 (Biomarkers)
RN  - 0 (CCL2 protein, human)
RN  - 0 (Chemokine CCL2)
RN  - 0 (GDF15 protein, human)
RN  - 0 (Growth Differentiation Factor 15)
RN  - 0 (Insulin-Like Growth Factor Binding Protein 2)
RN  - 0 (Interleukin-8)
RN  - 0 (Proteome)
RN  - 0 (Tumor Necrosis Factor-alpha)
RN  - 0 (Vascular Endothelial Growth Factor A)
RN  - EC 3.4.24.24 (Matrix Metalloproteinase 2)
SB  - IM
MH  - Aged
MH  - Aged, 80 and over
MH  - *Aging/metabolism
MH  - Biomarkers
MH  - *Cellular Senescence
MH  - Chemokine CCL2/metabolism
MH  - Female
MH  - Growth Differentiation Factor 15/metabolism
MH  - Humans
MH  - Insulin-Like Growth Factor Binding Protein 2/metabolism
MH  - Interleukin-8/metabolism
MH  - Matrix Metalloproteinase 2/metabolism
MH  - Middle Aged
MH  - Postmenopause
MH  - *Proteome
MH  - Proteomics
MH  - Tumor Necrosis Factor-alpha/metabolism
MH  - Vascular Endothelial Growth Factor A/metabolism
OTO - NOTNLM
OT  - KoGES-CAVAS
OT  - biological aging
OT  - cellular senescence
OT  - menopause
OT  - senescence-associated secretory phenotype
OT  - years since menopause
EDAT- 2022/05/19 06:00
MHDA- 2022/06/22 06:00
CRDT- 2022/05/18 08:03
PHST- 2022/05/19 06:00 [pubmed]
PHST- 2022/06/22 06:00 [medline]
PHST- 2022/05/18 08:03 [entrez]
AID - 10.1089/rej.2022.0024 [doi]
PST - ppublish
SO  - Rejuvenation Res. 2022 Jun;25(3):141-148. doi: 10.1089/rej.2022.0024. Epub 2022 
      Jun 3.