Evidence map›Paper›PMID 25883955›Full record

ReviewBioMed research international2015

Luminex and other multiplex high throughput technologies for the identification of, and host response to, environmental triggers of type 1 diabetes.

Sharad Purohit, Ashok Sharma, Jin-Xiong She

Abstract readReview
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. High throughput toxicity screening and intracellular detection of nanomaterials.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2017
    Review
  10. 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

3 authors.

Sharad PurohitCenter for Biotechnology and Genomic Medicine (CBGM), Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA ; Department of Pathology, Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA.ORCID 0000-0003-0385-3829
Ashok SharmaCenter for Biotechnology and Genomic Medicine (CBGM), Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA ; Department of Biostatistics and Epidemiology, Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA.ORCID 0000-0001-5179-4005
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine (CBGM), Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA ; Department of Pathology, Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA.

Funding

The TEDDY Study: Georgia/Florida Clinical CenterU01DK063865 · NIDDK · MEDICAL COLLEGE OF GEORGIA (MCG) · PI MCINDOE, RICHARD A. · 2003 to 2022
$12.3M
The TEDDY Study: Georgia/Florida Clinical CenterUC4DK063865 · NIDDK · AUGUSTA UNIVERSITY · PI SHE, JIN-XIONG · 2013 to 2013
$5.3M
Studies of the Immunopathogenesis of Type 1 DiabetesR01HD037800 · NICHD · UNIVERSITY OF FLORIDA · PI SHE, JIN-XIONG · 1999 to 2006
$4.6M
NICHD NIH HHS R01 HD037800NICHD NIH HHS R01HD37800NIDDK NIH HHS U01 DK063865NIDDK NIH HHS U01DK063865NIDDK NIH HHS UC4 DK063865
6 · The paper itself

Abstract

Complex interactions between a series of environmental factors and genes result in progression to clinical type 1 diabetes in genetically susceptible individuals. Despite several decades of research in the area, these interactions remain poorly understood. Several studies have yielded associations of certain foods, infections, and immunizations with the onset and progression of diabetes autoimmunity, but most findings are still inconclusive. Environmental triggers are difficult to identify mainly due to (i) large number and complex nature of environmental exposures, including bacteria, viruses, dietary factors, and environmental pollutants, (ii) reliance on low throughput technology, (iii) less efforts in quantifying host response, (iv) long silent period between the exposure and clinical onset of T1D which may lead to loss of the exposure fingerprints, and (v) limited sample sets. Recent development in multiplex technologies has enabled systematic evaluation of different classes of molecules or macroparticles in a high throughput manner. However, the use of multiplex assays in type 1 diabetes research is limited to cytokine assays. In this review, we will discuss the potential use of multiplex high throughput technologies in identification of environmental triggers and host response in type 1 diabetes.

Indexed as

AnimalsBlood ProteinsCytokinesDiabetes Mellitus, Type 1Disease Models, AnimalEnvironmental ExposureEnzyme-Linked Immunosorbent AssayHigh-Throughput Screening AssaysHumansRadioimmunoassayBlood ProteinsCytokines

Identifiers

PMID25883955
PMCPMC4389818

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Registered trials

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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.