Evidence map›Paper›PMID 26700141›Full record

ArticleBiochimie2016

An adenovirus-derived protein: A novel candidate for anti-diabetic drug development.

Vijay Hegde, Ha-Na Na, Olga Dubuisson, Susan J Burke, J Jason Collier, David Burk, Tamra Mendoza, Nikhil V Dhurandhar

Open access · greenAbstract read
In one paragraph

Article in Biochimie, 2016. 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
2.4field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. E4orf1 Prevents Progression of Fatty Liver Disease in Mice on High Fat Diet.International journal of molecular sciences · 2022
    Article
  4. Long-term infection passaging of Human Adenovirus 36 in monkey kidney cells.Revista do Instituto de Medicina Tropical de Sao Paulo · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

8 authors at 1 institution in 1 country.

Vijay HegdePennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Ha-Na NaPennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Olga DubuissonPennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Susan J BurkePennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
J Jason CollierPennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
David BurkPennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Tamra MendozaPennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Nikhil V DhurandharPennington Biomedical Research Center, Baton Rouge, LA, 70808, USA. Electronic address: Nikhil.Dhurandhar@ttu.edu.
Pennington Biomedical Research Center · US

Funding

Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2005 to 2026
$26.5M
Mentoring Obesity and Diabetes Research in LouisianaP20GM103528 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI GETTYS, THOMAS W · 2012 to 2015
$8.8M
NIDDK NIH HHS 2P30-DK072476NIDDK NIH HHS P30 DK072476NIGMS NIH HHS 8 P20-GM103528NIGMS NIH HHS P20 GM103528
6 · The paper itself

Abstract

aimsExposure to human adenovirus Ad36 is causatively and correlatively linked with better glycemic control in animals and humans, respectively. Although the anti-hyperglycemic property of Ad36 may offer some therapeutic potential, it is impractical to use an infectious agent for therapeutic benefit. Cell-based studies identified that Ad36 enhances cellular glucose disposal via its E4orf1 protein. Ability to improve glycemic control in vivo is a critical prerequisite for further investigating the therapeutic potential of E4orf1. Therefore, the aim of this study was to determine the ability of E4orf1 to improve glycemic control independent of insulin despite high fat diet. MATERIALS &

methods8-9wk old male C57BL/6J mice fed a high-fat diet (60% kcal) were injected with a retrovirus plasmid expressing E4orf1, or a null vector (Control). Glycemic control was determined by glucose and insulin tolerance test. Islet cell size, amount of insulin and glucagon were determined in formalin-fixed pancreas. Rat insulinoma cell line (832/13) was infected with E4orf1 or control to determine changes in glucose stimulated insulin secretion. Protein from flash frozen adipose tissue depots, liver and muscle was used to determine molecular signaling by western blotting.

resultsIn multiple experiments, retrovirus-mediated E4orf1 expression in C57BL/6J mice significantly and reproducibly improved glucose excursion following a glucose load despite a high fat diet (60% energy). Importantly, E4orf1 improved glucose clearance without increasing insulin sensitivity, production or secretion, underscoring its insulin-independent effect. E4orf1 modulated molecular signaling in mice tissue, which included greater protein abundance of adiponectin, p-AKT and Glucose transporter Glu4.

conclusionsThis study provides the proof of concept for translational development of E4orf1 as a potential anti-diabetic agent. High fat intake and impaired insulin signaling are often associated with obesity, diabetes and insulin resistance. Hence, the ability of E4orf1 to improve glycemic control despite high fat diet and independent of insulin, is particularly attractive.

Indexed as

AdenoviridaeAnimalsBlood GlucoseDiabetes MellitusHumansHypoglycemic AgentsInsulinMaleMiceMice, Inbred C57BLBlood GlucoseHypoglycemic AgentsInsulinAdenoviral proteinAnti-diabetic drugDiabetesGlucose disposalGlycemic controlInsulin-independent effect

Identifiers

PMID26700141
PMCPMC5125614
OpenAlexW2197317387

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.