Lipidomics profiling of biological aging in American Indians: the Strong Heart Family Study. (Record no. 320)

MARC details
000 -LEADER
fixed length control field 02526nam a22003257a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221018s20222022 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2509-2723
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/s11357-022-00638-9 [doi]
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/s11357-022-00638-9 [pii]
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 35953607
245 ## - TITLE STATEMENT
Title Lipidomics profiling of biological aging in American Indians: the Strong Heart Family Study.
251 ## - Source
Source GeroScience. 2022 Aug 11
252 ## - Abbreviated Source
Abbreviated source Geroscience. 2022 Aug 11
253 ## - Journal Name
Journal name GeroScience
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2022
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Manufacturer FY2023
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Publication date 2022 Aug 11
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Publication status aheadofprint
266 ## - Date added to catalog
Date added to catalog 2022-10-20
520 ## - SUMMARY, ETC.
Abstract Telomeres shorten with age and shorter leukocyte telomere length (LTL) has been associated with various age-related diseases. Thus, LTL has been considered a biomarker of biological aging. Dyslipidemia is an established risk factor for most age-related metabolic disorders. However, little is known about the relationship between LTL and dyslipidemia. Lipidomics is a new biochemical technique that can simultaneously identify and quantify hundreds to thousands of small molecular lipid species. In a large population comprising 1843 well-characterized American Indians in the Strong Heart Family Study, we examined the lipidomic profile of biological aging assessed by LTL. Briefly, LTL was quantified by qPCR. Fasting plasma lipids were quantified by untargeted liquid chromatography-mass spectrometry. Lipids associated with LTL were identified by elastic net modeling. Of 1542 molecular lipids identified (518 known, 1024 unknown), 174 lipids (36 knowns) were significantly associated with LTL, independent of chronological age, sex, BMI, hypertension, diabetes status, smoking status, bulk HDL-C, and LDL-C. These findings suggest that altered lipid metabolism is associated with biological aging and provide novel insights that may enhance our understanding of the relationship between dyslipidemia, biological aging, and age-related diseases in American Indians. Copyright © 2022. The Author(s), under exclusive licence to American Aging Association.
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element IN PROCESS -- NOT YET INDEXED
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution MedStar Health Research Institute
657 ## - INDEX TERM--FUNCTION
Medline publication type Journal Article
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Howard, Barbara V
Institution Code MHRI
790 ## - Authors
All authors Best LG, Fiehn O, Howard BV, Lee ET, Palma-Gudiel H, Subedi P, Zhao J
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.1007/s11357-022-00638-9">https://dx.doi.org/10.1007/s11357-022-00638-9</a>
Public note https://dx.doi.org/10.1007/s11357-022-00638-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
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Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 10/20/2022   35953607 35953607 10/20/2022 10/20/2022 Journal Article

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