Evidence map›Paper›PMID 29506054›Full record

ArticleThe Journal of clinical endocrinology and metabolism2018

Exocytosis Protein DOC2B as a Biomarker of Type 1 Diabetes.

Arianne Aslamy, Eunjin Oh, Miwon Ahn, Abu Saleh Md Moin, Mariann Chang, Molly Duncan, Jeannette Hacker-Stratton, Mohamed El-Shahawy, Fouad Kandeel, Linda A DiMeglio and 1 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01909245 (Islet Transplantation Using a T-Cell Depleting Immunosuppression Induction Regimen), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 20% 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.

NCT01909245 phase2active not recruitingnot on this map

Islet Transplantation Using a T-Cell Depleting Immunosuppression Induction Regimen

TypeinterventionalSponsorCity of Hope Medical CenterRan2013 to 2026Enrolled10ConditionsType 1 Diabetes MellitusArmsAllogenic Human Islet Cells, Immunosuppressive Agents, Gastrin 17
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  13. Molecular biomarkers in diabetes mellitus (DM).Medical journal of the Islamic Republic of Iran · 2020
    Review
  14. Protecting functional β cells with a therapeutic peptide.Annals of translational medicine · 2018
    Article
  15. Article
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

11 authors at 4 institutions in 1 country.

Arianne AslamyDepartment of Molecular and Cellular Endocrinology, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Eunjin OhDepartment of Molecular and Cellular Endocrinology, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Miwon AhnDepartment of Molecular and Cellular Endocrinology, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Abu Saleh Md MoinDepartment of Molecular and Cellular Endocrinology, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Mariann ChangDepartment of Molecular and Cellular Endocrinology, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Molly DuncanDepartment of Pediatrics, Section of Pediatric Endocrinology/Diabetology, and Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, Indiana.
Jeannette Hacker-StrattonDepartment of Clinical and Translational Research and Cellular Therapeutics, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Mohamed El-ShahawyDepartment of Clinical and Translational Research and Cellular Therapeutics, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Fouad KandeelDepartment of Clinical and Translational Research and Cellular Therapeutics, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Linda A DiMeglioDepartment of Pediatrics, Section of Pediatric Endocrinology/Diabetology, and Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, Indiana.
Debbie C ThurmondDepartment of Molecular and Cellular Endocrinology, Diabetes & Metabolism Research Institute, and Beckman Research Institute of City of Hope, Duarte, California.
Beckman Research InstituteCity of Hope · USIndiana University – Purdue University Indianapolis · USIndiana University School of Medicine

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina · 2015 to 2026
$17.4M
Regulation of Glucose Homeostasis by Munc18 ProteinsR01DK067912 · NIDDK · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI THURMOND, DEBBIE C · 2004 to 2023
$6.5M
Targeting PAK1 to improve functional beta-cell mass and insulin sensitivityR01DK102233 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI THURMOND, DEBBIE C, VELUTHAKAL, RAJAKRISHNAN · 2014 to 2024
$3.3M
Regulating SNARE mechanisms to remediate glucose dyshomeostasisR56DK067912 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI FUEGER, PATRICK T., GARCIA-OCANA, ADOLFO · 2025 to 2025
$223k
NCATS NIH HHS UL1 TR001108NCI NIH HHS P30 CA033572NIDDK NIH HHS P30 DK097512NIDDK NIH HHS R01 DK067912NIDDK NIH HHS R01 DK102233NIDDK NIH HHS R56 DK067912
6 · The paper itself

Abstract

Context: Efforts to preserve β-cell mass in the preclinical stages of type 1 diabetes (T1D) are limited by few blood-derived biomarkers of β-cell destruction. Objective: Platelets are proposed sources of blood-derived biomarkers for a variety of diseases, and they show distinct proteomic changes in T1D. Thus, we investigated changes in the exocytosis protein, double C2 domain protein-β (DOC2B) in platelets and islets from T1D humans, and prediabetic nonobese diabetic (NOD) mice. Design, Patients, and Main Outcome Measure: Protein levels of DOC2B were assessed in platelets and islets from prediabetic NOD mice and humans, with and without T1D. Seventeen new-onset T1D human subjects (10.3 ± 3.8 years) were recruited immediately following diagnosis, and platelet DOC2B levels were compared with 14 matched nondiabetic subjects (11.4 ± 2.9 years). Furthermore, DOC2B levels were assessed in T1D human pancreatic tissue samples, cytokine-stimulated human islets ex vivo, and platelets from T1D subjects before and after islet transplantation. Results: DOC2B protein abundance was substantially reduced in prediabetic NOD mouse platelets, and these changes were mirrored in the pancreatic islets from the same mice. Likewise, human DOC2B levels were reduced over twofold in platelets from new-onset T1D human subjects, and this reduction was mirrored in T1D human islets. Cytokine stimulation of normal islets reduced DOC2B expression ex vivo. Remarkably, platelet DOC2B levels increased after islet transplantation in patients with T1D. Conclusions: Reduction of DOC2B is an early feature of T1D, and DOC2B abundance may serve as a valuable in vivo indicator of β-cell mass and an early biomarker of T1D.

Indexed as

AdolescentAnimalsBiomarkersBlood PlateletsCalcium-Binding ProteinsCase-Control StudiesCell CountChildDiabetes Mellitus, Type 1ExocytosisFemaleHumansInsulin-Secreting CellsIslets of LangerhansMaleMiceBiomarkersCalcium-Binding ProteinsDOC2B protein, humanNerve Tissue Proteins

Identifiers

PMID29506054
PMCPMC6276681
OpenAlexW2789940719

What OpenQuestion holds

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Registered trials

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.