Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Age-related differences in macromolecular resonances observed in ultra-short-TE STEAM MR spectra at 7T

G. Genovese, M. Terpstra, P. Filip, S. Mangia, JR. McCarten, LS. Hemmy, M. Marjańska

. 2024 ; 92 (1) : 4-14. [pub] 20240305

Language English Country United States

Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't

Persistent link   https://www.medvik.cz/link/bmc24013413

Grant support
P41 EB027061 NIBIB NIH HHS - United States
P41 EB027061 NIH HHS - United States
P30 NS076408 NIH HHS - United States
R01 AG055591 NIA NIH HHS - United States
U19 AG073585 NIA NIH HHS - United States
R01 AG039396 NIA NIH HHS - United States
P30 NS076408 NINDS NIH HHS - United States
U19AG073585 NIH HHS - United States
R01AG039396 NIH HHS - United States
R01AG055591 NIH HHS - United States

PURPOSE: To understand how macromolecular content varies in the human brain with age in a large cohort of healthy subjects. METHODS: In-vivo 1H-MR spectra were acquired using ultra-short TE STEAM at 7T in the posterior cingulate cortex. Macromolecular content was studied in 147 datasets from a cohort ranging in age from 19 to 89 y. Three fitting approaches were used to evaluate the macromolecular content: (1) a macromolecular resonances model developed for this study; (2) LCModel-simulated macromolecules; and (3) a combination of measured and LCModel-simulated macromolecules. The effect of age on the macromolecular content was investigated by considering age both as a continuous variable (i.e., linear regressions) and as a categorical variable (i.e., multiple comparisons among sub-groups obtained by stratifying data according to age by decade). RESULTS: While weak age-related effects were observed for macromolecular peaks at ̃0.9 (MM09), ̃1.2 (MM12), and ̃1.4 (MM14) ppm, moderate to strong effects were observed for peaks at ̃1.7 (MM17), and ̃2.0 (MM20) ppm. Significantly higher MM17 and MM20 content started from 30 to 40 y of age, while for MM09, MM12, and MM14, significantly higher content started from 60 to 70 y of age. CONCLUSIONS: Our findings provide insights into age-related differences in macromolecular contents and strengthen the necessity of using age-matched measured macromolecules during quantification.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24013413
003      
CZ-PrNML
005      
20240905133512.0
007      
ta
008      
240725s2024 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1002/mrm.30061 $2 doi
035    __
$a (PubMed)38441257
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Genovese, Guglielmo $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA $1 https://orcid.org/0000000194090120
245    10
$a Age-related differences in macromolecular resonances observed in ultra-short-TE STEAM MR spectra at 7T / $c G. Genovese, M. Terpstra, P. Filip, S. Mangia, JR. McCarten, LS. Hemmy, M. Marjańska
520    9_
$a PURPOSE: To understand how macromolecular content varies in the human brain with age in a large cohort of healthy subjects. METHODS: In-vivo 1H-MR spectra were acquired using ultra-short TE STEAM at 7T in the posterior cingulate cortex. Macromolecular content was studied in 147 datasets from a cohort ranging in age from 19 to 89 y. Three fitting approaches were used to evaluate the macromolecular content: (1) a macromolecular resonances model developed for this study; (2) LCModel-simulated macromolecules; and (3) a combination of measured and LCModel-simulated macromolecules. The effect of age on the macromolecular content was investigated by considering age both as a continuous variable (i.e., linear regressions) and as a categorical variable (i.e., multiple comparisons among sub-groups obtained by stratifying data according to age by decade). RESULTS: While weak age-related effects were observed for macromolecular peaks at ̃0.9 (MM09), ̃1.2 (MM12), and ̃1.4 (MM14) ppm, moderate to strong effects were observed for peaks at ̃1.7 (MM17), and ̃2.0 (MM20) ppm. Significantly higher MM17 and MM20 content started from 30 to 40 y of age, while for MM09, MM12, and MM14, significantly higher content started from 60 to 70 y of age. CONCLUSIONS: Our findings provide insights into age-related differences in macromolecular contents and strengthen the necessity of using age-matched measured macromolecules during quantification.
650    _2
$a lidé $7 D006801
650    _2
$a senioři $7 D000368
650    _2
$a lidé středního věku $7 D008875
650    _2
$a dospělí $7 D000328
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a senioři nad 80 let $7 D000369
650    12
$a makromolekulární látky $x chemie $7 D046911
650    _2
$a mladý dospělý $7 D055815
650    12
$a stárnutí $7 D000375
650    _2
$a mozek $x diagnostické zobrazování $x metabolismus $7 D001921
650    _2
$a magnetická rezonanční tomografie $x metody $7 D008279
650    _2
$a magnetická rezonanční spektroskopie $x metody $7 D009682
650    _2
$a cingulární gyrus $x diagnostické zobrazování $x chemie $7 D006179
655    _2
$a časopisecké články $7 D016428
655    _2
$a Research Support, N.I.H., Extramural $7 D052061
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Terpstra, Melissa $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
700    1_
$a Filip, Pavel $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA $u Department of Neurology, Charles University, First Faculty of Medicine and General University Hospital, Prague, Czech Republic $1 https://orcid.org/0000000156565164 $7 xx0247515
700    1_
$a Mangia, Silvia $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA $1 https://orcid.org/0000000163414516
700    1_
$a McCarten, J Riley $u Geriatric Research, Education and Clinical Center, Veterans Affairs Health Care System, Minneapolis, Minnesota, USA $u Department of Neurology, University of Minnesota, Minneapolis, Minnesota, USA
700    1_
$a Hemmy, Laura S $u Geriatric Research, Education and Clinical Center, Veterans Affairs Health Care System, Minneapolis, Minnesota, USA $u Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota, USA
700    1_
$a Marjańska, Małgorzata $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA $1 https://orcid.org/0000000247272447
773    0_
$w MED00003172 $t Magnetic resonance in medicine $x 1522-2594 $g Roč. 92, č. 1 (2024), s. 4-14
856    41
$u https://pubmed.ncbi.nlm.nih.gov/38441257 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20240725 $b ABA008
991    __
$a 20240905133506 $b ABA008
999    __
$a ok $b bmc $g 2143310 $s 1225279
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 92 $c 1 $d 4-14 $e 20240305 $i 1522-2594 $m Magnetic resonance in medicine $n Magn Reson Med $x MED00003172
GRA    __
$a P41 EB027061 $p NIBIB NIH HHS $2 United States
GRA    __
$a P41 EB027061 $p NIH HHS $2 United States
GRA    __
$a P30 NS076408 $p NIH HHS $2 United States
GRA    __
$a R01 AG055591 $p NIA NIH HHS $2 United States
GRA    __
$a U19 AG073585 $p NIA NIH HHS $2 United States
GRA    __
$a R01 AG039396 $p NIA NIH HHS $2 United States
GRA    __
$a P30 NS076408 $p NINDS NIH HHS $2 United States
GRA    __
$a U19AG073585 $p NIH HHS $2 United States
GRA    __
$a R01AG039396 $p NIH HHS $2 United States
GRA    __
$a R01AG055591 $p NIH HHS $2 United States
LZP    __
$a Pubmed-20240725

Find record

Citation metrics

Archiving options