Evidence map›Paper›PMID 36122760›Full record

ReviewArchives of biochemistry and biophysics2022

Selenium status and type 2 diabetes risk.

Ying-Chen Huang, Gerald F Combs, Tung-Lung Wu, Huawei Zeng, Wen-Hsing Cheng

Open access · greenAbstract readReview
In one paragraph

Review in Archives of biochemistry and biophysics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Deciphering the Role of Selenoprotein M.Antioxidants (Basel, Switzerland) · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Review
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

5 authors at 3 institutions in 1 country.

Ying-Chen HuangDepartment of Food Science, Nutrition and Health Promotion, Mississippi State University, Mississippi State, MS, USA.
Gerald F CombsJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
Tung-Lung WuDepartment of Mathematics and Statistics, Mississippi State University, Mississippi State, MS, USA.
Huawei ZengUSDA, Agricultural Research Service, Grand Forks Human Nutrition Research Center, Grand Forks, ND, USA.
Wen-Hsing ChengDepartment of Food Science, Nutrition and Health Promotion, Mississippi State University, Mississippi State, MS, USA. Electronic address: wcheng@fsnhp.msstate.edu.
Mississippi State University · USAgricultural Research Service · USTufts University · US

Funding

Optimized Selenium Intake, Gut Microbiota, and DiabetesR15DK117407 · NIDDK · MISSISSIPPI STATE UNIVERSITY · PI CHENG, WEN-HSING · 2018 to 2018
$421k
NIDDK NIH HHS R15 DK117407
6 · The paper itself

Abstract

Optimal selenium (Se) status is necessary for overall health. That status can be affected by food intake pattern, age, sex, and health status. At nutritional levels of intake, Se functions metabolically as an essential constituent of some two dozen selenoproteins, most, if not all, of which have redox functions. Insufficient dietary intake of Se reduces, to varying degrees, the expression of these selenoproteins. Recent clinical and animal studies have indicated that both insufficient and excessive Se intakes may increase risk of type 2 diabetes mellitus (T2D), perhaps by way of selenoprotein actions. In this review, we discuss the current evidence linking Se status and T2D risk, and the roles of 14 selenoproteins and other proteins involved in selenoprotein biosynthesis. Understanding such results can inform the setting of safe and adequate Se intakes.

Indexed as

Diabetes Mellitus, Type 2SeleniumAnimalsNutritional StatusOxidation-ReductionSelenoproteinsSeleniumSelenoproteinsSeleniumSelenoproteinType 2 diabetes

Identifiers

PMID36122760
PMCPMC9707339
OpenAlexW4296194442

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.