Evidence map›Paper›PMID 26934990›Full record

ArticleTheoretical biology & medical modelling2016

Modeling glucose and free fatty acid kinetics in glucose and meal tolerance test.

Yanjun Li, Carson C Chow, Amber B Courville, Anne E Sumner, Vipul Periwal

Open access · hybridAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 2 institutions in 1 country.

Yanjun LiLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), MSC 5621, LBM, NIDDK, NIH, Bethesda, MD, 20892-5621, USA. liy16@mail.nih.gov.
Carson C ChowLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), MSC 5621, LBM, NIDDK, NIH, Bethesda, MD, 20892-5621, USA. carsonc@niddk.nih.gov.
Amber B CourvilleNutrition Department, Clinical Center, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, MD, 20892, USA. courvillea@mail.nih.gov.
Anne E SumnerDiabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, MD, 20892, USA. annes@intra.niddk.nih.gov.
Vipul PeriwalLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), MSC 5621, LBM, NIDDK, NIH, Bethesda, MD, 20892-5621, USA. vipulp@mail.nih.gov.
National Institutes of Health · USNational Institute of Diabetes and Digestive and Kidney Diseases · US

Funding

Modeling and data analysis of obesity, insulin resistance, and diabetesZIADK013022 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CHOW, CARSON · 2009 to 2025
$2.8M
Quantitative Estimation of Sensitivity of Lipolysis to InsulinZIADK013030 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI PERIWAL, VIPUL · 2009 to 2025
$2.0M
6 · The paper itself

Abstract

backgroundQuantitative evaluation of insulin regulation on plasma glucose and free fatty acid (FFA) in response to external glucose challenge is clinically important to assess the development of insulin resistance (World J Diabetes 1:36-47, 2010). Mathematical minimal models (MMs) based on insulin modified frequently-sampled intravenous glucose tolerance tests (IM-FSIGT) are widely applied to ascertain an insulin sensitivity index (IEEE Rev Biomed Eng 2:54-96, 2009). Furthermore, it is important to investigate insulin regulation on glucose and FFA in postprandial state as a normal physiological condition. A simple way to calculate the appearance rate (Ra) of glucose and FFA would be especially helpful to evaluate glucose and FFA kinetics for clinical applications.

methodsA new MM is developed to simulate the insulin modulation of plasma glucose and FFA, combining IM-FSIGT with a mixed meal tolerance test (MT). A novel simple functional form for the appearance rate (Ra) of glucose or FFA in the MT is developed. Model results are compared with two other models for data obtained from 28 non-diabetic women (13 African American, 15 white).

resultsThe new functional form for Ra of glucose is an acceptable empirical approximation to the experimental Ra for a subset of individuals. When both glucose and FFA are included in FSIGT and MT, the new model is preferred using the Bayes Information Criterion (BIC).

conclusionsModel simulations show that the new MM allows consistent application to both IM-FSIGT and MT data, balancing model complexity and data fitting. While the appearance of glucose in the circulation has an important effect on FFA kinetics in MT, the rate of appearance of FFA can be neglected for the time-period modeled.

Indexed as

FoodAdultAlgorithmsBayes TheoremBlack or African AmericanBlood GlucoseFatty Acids, NonesterifiedFemaleGlucoseGlucose Tolerance TestHumansMiddle AgedModels, TheoreticalUnited StatesBlood GlucoseFatty Acids, NonesterifiedGlucose

Identifiers

PMID26934990
PMCPMC4776401
OpenAlexW2292761261

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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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.