Evidence map›Paper›PMID 21767397›Full record

ArticleNutrition journal2011

Determinants of selenium status in healthy adults.

Gerald F Combs, Jennifer C Watts, Matthew I Jackson, LuAnn K Johnson, Huawei Zeng, Angela J Scheett, Eric O Uthus, Lutz Schomburg, Antonia Hoeg, Carolin S Hoefig and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
9.7field-weighted citation impact, top 1% 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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it, 148 citations in OpenAlex.

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  16. Selenium status and type 2 diabetes risk.Archives of biochemistry and biophysics · 2022
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  20. Observational
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

12 authors at 3 institutions in 2 countries.

Gerald F CombsGrand Forks Human Nutrition Research Center, USDA-ARS, Grand Forks, ND, USA. gerald.combs@ars.usda.gov
Jennifer C Watts
Matthew I Jackson
LuAnn K Johnson
Huawei Zeng
Angela J Scheett
Eric O Uthus
Lutz Schomburg
Antonia Hoeg
Carolin S Hoefig
Cindy D Davis
John A Milner
Grand Forks Human Nutrition Research Center · USEndokrinologikum · DENational Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelenium (Se) status in non-deficient subjects is typically assessed by the Se contents of plasma/serum. That pool comprises two functional, specific selenoprotein components and at least one non-functional, non-specific components which respond differently to changes in Se intake. A more informative means of characterizing Se status in non-deficient individuals is needed.

methodsMultiple biomarkers of Se status (plasma Se, serum selenoprotein P [SEPP1], plasma glutathione peroxidase activity [GPX3], buccal cell Se, urinary Se) were evaluated in relation to selenoprotein genotypes (GPX1, GPX3, SEPP1, SEP15), dietary Se intake, and parameters of single-carbon metabolism in a cohort of healthy, non-Se-deficient men (n = 106) and women (n = 155).

conclusionsPlasma Se concentration was 142.0 ± 23.5 ng/ml, with GPX3 and serum-derived SEPP1 calculated to comprise 20% and 34%, respectively, of that total. The balance, comprised of non-specific components, accounted for virtually all of the interindividual variation in total plasma Se. Buccal cell Se was associated with age and plasma homocysteine (hCys), but not plasma Se. SEPP1 showed a quadratic relationship with body mass index, peaking at BMI 25-30. Urinary Se was greater in women than men, and was associated with metabolic body weight (kg0.75), plasma folate, vitamin B12 and hCys (negatively). One GPX1 genotype (679T/T) was associated with significantly lower plasma Se levels than other allelic variants. Selenium intake, estimated from food frequency questionnaires, did not predict Se status as indicated by any biomarker. These results show that genotype, methyl-group status and BMI contribute to variation in Se biomarkers in Se-adequate individuals.

Indexed as

DietAdultAgedBiomarkersBody Mass IndexBody WeightCohort StudiesDNAFemaleFolic AcidGenotypeGlutathione PeroxidaseHumansMaleMiddle AgedNutritional StatusBiomarkersDNAFolic AcidGlutathione PeroxidaseSeleniumSelenoprotein PVitamin B 12

Identifiers

PMID21767397
PMCPMC3160353
OpenAlexW2100878580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.