Evidence map›Paper›PMID 31499737›Full record

ArticleMathematical biosciences and engineering : MBE2019

Modeling the dynamics of glucose, insulin, and free fatty acids with time delay: The impact of bariatric surgery on type 2 diabetes mellitus.

Anarina L Murillo, Jia Xu Li, Carlos Castillo-Chavez

Open access · goldAbstract read
In one paragraph

Article in Mathematical biosciences and engineering : MBE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 17 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

3 authors at 2 institutions in 1 country.

Anarina L MurilloSimon A Levin Mathematical, Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ, USA.
Jia Xu LiSimon A Levin Mathematical, Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ, USA.
Carlos Castillo-ChavezSimon A Levin Mathematical, Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ, USA.
University of Alabama at Birmingham · USUniversity of Louisville · US

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Stuart J Frank · 2013 to 2026
$19.5M
UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
NHLBI NIH HHS T32 HL072757NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

The role of free fatty acids (FFA) on Type 2 diabetes mellitus (T2DM) progression has been studied extensively with prior studies suggesting that individuals with shared familial genetic predisposition to metabolic-related diseases may be vulnerable to dysfunctional plasma FFA regulation. A harmful cycle arises when FFA are not properly regulated by insulin contributing to the development of insulin resistance, a key indicator for T2DM, since prolonged insulin resistance may lead to hyperglycemia. We introduce a hypothesis-driven dynamical model and use it to evaluate the role of FFA on insulin resistance progression that is mathematically constructed within the context of individuals that have genetic predisposition to dysfunctional plasma FFA. The dynamics of the nonlinear interactions that involve glucose, insulin, and FFA are modeled by incorporating a fixed-time delay with the corresponding delay-differential equations being studied numerically. The results of computational studies, that is, extensive simulations, are compared to the known minimal ordinary differential equations model. Parameter estimation and model validation are carried out using clinical data of patients who underwent bariatric surgery. These estimates provide a quantitative measure that is used to evaluate the regulation of lipolysis by insulin action measured by insulin sensitivity, within a metabolically heterogeneous population (non-diabetic to diabetic). Results show that key metabolic factors improve after surgery, such as the effect of insulin inhibition of FFA on insulin and glucose regulation, results that do match prior clinical studies. These findings indicate that the reduction in weight or body mass due to surgery improve insulin action for the regulation of glucose, FFA, and insulin levels. This reinforces what we know, namely, that insulin action is essential for regulating FFA and glucose levels and is a robust effect that can be observed not only in the long-term, but also in the short-term; thereby preventing the manifestation of T2DM.

Indexed as

Bariatric SurgeryAdministration, OralAdultBlood GlucoseBody Mass IndexBody WeightDiabetes Mellitus, Type 2Disease ProgressionFatty Acids, NonesterifiedFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGlucose Tolerance TestHumansInsulinInsulin ResistanceBlood GlucoseFatty Acids, NonesterifiedInsulinfree fatty acidsmathematical modeltype 2 diabetes

Identifiers

PMID31499737
PMCPMC6765335
OpenAlexW2949891677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.