Evidence map›Paper›PMID 26216277›Full record

ArticleNeuroImage2015

Age and sex related differences in subcortical brain iron concentrations among healthy adults.

Ninni Persson, Jianlin Wu, Qing Zhang, Ting Liu, Jing Shen, Ruyi Bao, Mingfei Ni, Tian Liu, Yi Wang, Pascal Spincemaille

Abstract read
In one paragraph

Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.

  1. Pooled it
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  4. Brain oxygen extraction fraction mapping in patients with multiple sclerosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Ninni PerssonDepartment of Psychology, Stockholm University, Stockholm, Sweden; Stockholm Brain Institute, Stockholm, Sweden; Radiology, Weill Cornell Medical College, New York, NY, USA.
Jianlin WuRadiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China; Radiology, Zhongshan Hospital of Dalian University, Dalian, Liaoning Province, China.
Qing ZhangRadiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
Ting LiuRadiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
Jing ShenRadiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
Ruyi BaoRadiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
Mingfei NiRadiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
Tian LiuRadiology, Weill Cornell Medical College, New York, NY, USA.
Yi WangRadiology, Weill Cornell Medical College, New York, NY, USA; Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Pascal SpincemailleRadiology, Weill Cornell Medical College, New York, NY, USA. Electronic address: pas2018@med.cornell.edu.
Dalian Medical University · CNCornell University · USStockholm University · SE

Funding

Analyses of gradient echo MRI dataR01EB013443 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2011 to 2014
$1.5M
NIBIB NIH HHS R01 EB013443NIBIB NIH HHS R01EB013443
6 · The paper itself

Abstract

Age and sex can influence brain iron levels. We studied the influence of these variables on deep gray matter magnetic susceptibilities. In 183 healthy volunteers (44.7 ± 14.2 years, range 20-69, ♀ 49%), in vivo quantitative susceptibility mapping (QSM) at 1.5T was performed to estimate brain iron accumulation in the following regions of interest (ROIs): caudate nucleus (Cd), putamen (Pt), globus pallidus (Gp), thalamus (Th), pulvinar (Pul), red nucleus (Rn), substantia nigra (Sn) and the cerebellar dentate nuclei (Dn). We gauged the influence of age and sex on magnetic susceptibility by specifying a series of structural equation models. The distributions of susceptibility varied in degree across the structures, conforming to histologic findings (Hallgren and Sourander, 1958), with the highest degree of susceptibility in the Gp and the lowest in the Th. Iron increase correlated across several ROIs, which may reflect an underlying age-related process. Advanced age was associated with a particularly strong linear rise of susceptibility in the striatum. Nonlinear age trends were found in the Rn, where they were the most pronounced, followed by the Pul and Sn, while minimal nonlinear trends were observed for the Pt, Th, and Dn. Moreover, sex related variations were observed, so that women showed lower levels of susceptibility in the Sn after accounting for age. Regional susceptibility of the Pul increased linearly with age in men but exhibited a nonlinear association with age in women with a leveling off starting from midlife. Women expected to be post menopause (+51 years) showed lower total magnetic susceptibility in the subcortical gray matter. The current report not only is consistent with previous reports of age related variations of brain iron, but also adds to the current knowledge by reporting age-related changes in less studied, smaller subcortical nuclei. This is the first in-vivo report to show lower total subcortical brain iron levels selectively in women from midlife, compared to men and younger women. These results encourage further assessment of sex differences in brain iron. We anticipate that age and sex are important co-factors to take into account when establishing a baseline level for differentiating pathologic neurodegeneration from healthy aging. The variations in regional susceptibility reported herein should be evaluated further using a longitudinal study design to determine within-person changes in aging.

Indexed as

AdultAgedAge FactorsBrainCerebellar NucleiFemaleGlobus PallidusHumansIronMagnetic Resonance ImagingMaleMiddle AgedMultivariate AnalysisPulvinarPutamenRed NucleusIronBrain agingGender differencesIronQuantitative susceptibility mappingSex differencesSub-cortical nuclei

Identifiers

PMID26216277
PMCPMC4737643
OpenAlexW1498733903

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.