Evidence map›Paper›PMID 25050073›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2014

The effect of vagal nerve blockade using electrical impulses on glucose metabolism in nondiabetic subjects.

Matheni Sathananthan, Sayeed Ikramuddin, James M Swain, Meera Shah, Francesca Piccinini, Chiara Dalla Man, Claudio Cobelli, Robert A Rizza, Michael Camilleri, Adrian Vella

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2014. 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. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. The vagus neurometabolic interface and clinical disease.International journal of obesity (2005) · 2018
    Review
  7. Review
  8. Review
  9. Review
  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

10 authors.

Matheni SathananthanDivision of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, MN, USA.
Sayeed IkramuddinDivision of General Surgery, University of Minnesota, Minneapolis, MN, USA.
James M SwainDivision of General Surgery, Mayo Clinic College of Medicine, Rochester, MN, USA ; Scottsdale Healthcare Bariatric Center, Scottsdale, AZ, USA.
Meera ShahDivision of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, MN, USA.
Francesca PiccininiDepartment of Information Engineering, University of Padua, Padua, Italy.
Chiara Dalla ManDepartment of Information Engineering, University of Padua, Padua, Italy.
Claudio CobelliDepartment of Information Engineering, University of Padua, Padua, Italy.
Robert A RizzaDivision of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, MN, USA.
Michael CamilleriDivision of Gastroenterology and Hepatology, Mayo Clinic College of Medicine, Rochester, MN, USA.
Adrian VellaDivision of Endocrinology, Diabetes and Metabolism, Mayo Clinic College of Medicine, Rochester, MN, USA.

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Obesity and Energy Metabolism CoreP30DK050456 · NIDDK · UNIVERSITY OF MINNESOTA TWIN CITIES · PI BERNLOHR, DAVID A · 1995 to 2015
$17.0M
TECHNOLOGY NMR SPECTROSCOPYU24DK100469 · NIDDK · MAYO CLINIC ROCHESTER · PI NAIR, K SREEKUMARAN · 2013 to 2017
$9.0M
The regulation of fasting glucose metabolism in people with and without prediabetesR01DK078646 · NIDDK · MAYO CLINIC ROCHESTER · PI Adrian Vella · 2007 to 2026
$8.7M
The Effect of Bariatric Surgery on Carbohydrate MetabolismR01DK082396 · NIDDK · MAYO CLINIC ROCHESTER · PI VELLA, ADRIAN · 2010 to 2014
$1.6M
NCATS NIH HHS UL1 TR000135NIDDK NIH HHS P30 DK050456NIDDK NIH HHS R01 DK078646NIDDK NIH HHS R01 DK082396NIDDK NIH HHS U24 DK100469
6 · The paper itself

Abstract

purposeVagal interruption causes weight loss in humans and decreases endogenous glucose production in animals. However, it is unknown if this is due to a direct effect on glucose metabolism. We sought to determine if vagal blockade using electrical impulses alters glucose metabolism in humans. PATIENTS AND

methodsWe utilized a randomized, cross-over study design where participants were studied after 2 weeks of activation or inactivation of vagal nerve blockade (VNB). Seven obese subjects with impaired fasting glucose previously enrolled in a long-term study to examine the effect of VNB on weight took part. We used a standardized triple-tracer mixed meal to enable measurement of the rate of meal appearance, endogenous glucose production, and glucose disappearance. The 550 kcal meal was also labeled with (111)In-diethylene triamine pentaacetic acid (DTPA) to measure gastrointestinal transit. Insulin action and β-cell responsivity indices were estimated using the minimal model.

resultsIntegrated glucose, insulin, and glucagon concentrations did not differ between study days. This was also reflected in a lack of effect on β-cell responsivity and insulin action. Furthermore, fasting and postprandial endogenous glucose production, integrated meal appearance, and glucose disposal did not differ in the presence or absence of VNB. Similarly, gastric emptying and colonic transit were unchanged by VNB.

conclusionIn this pilot study in nondiabetic humans, electrical vagal blockade had no acute effects on glucose metabolism, insulin secretion and action, or gastric emptying. It remains to be determined if more pronounced effects would be observed in diabetic subjects.

Indexed as

endogenous glucose productioninsulin actioninsulin secretionvagotomy

Identifiers

PMID25050073
PMCPMC4103924

What OpenQuestion holds

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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.