Literature DB >> 34537919

Relationship Between Serum Magnesium Level and Insulin Resistance in Turkey Non-obese Adult Population.

Okan Akyüz1, Murat Gücün2, Recep Demirci3, Mehmet Celik4.   

Abstract

The homeostasis model assessment of insulin resistance (HOMA-IR) is widely used in clinical practice to estimate insulin resistance. In particular, magnesium (Mg) is an extensively studied mineral that has been shown to function in the management of hyperglycemia and insulin resistance (IR) action. The pathophysiology of IR in non-obese patients has not been clearly demonstrated. From this point of view, we aimed to investigate the relationship between serum Mg level and IR in non-obese patients. We analyzed 957 patients who are not obese and estimated glomerular filtration rate (e-GFR) ≥ 60 mL/min/1.73 m2. Patients were divided into two groups, with and without IR. The results of the IR detected group (HOMA-IR ≥ 2.5, n = 544) and the IR undetected group (HOMA-IR < 2.5, n = 413) were compared. The median Mg value of the patients was 1.76 [0.21] mg/dL. A statistically significant difference was observed between the two groups regarding serum Mg levels (p = 0.043). A negative correlation was found between the HOMA-IR index and serum Mg levels among patients (r =  - 0.064, p = 0.049). Multivariable logistic regression analysis revealed that serum Mg level (p = 0.039, odds ratio [OR] = 0.770[95%CI: [0.917-0.989]) was independent risk factors for IR. HOMA-IR increases as the Mg level decreases in advanced ages without obesity, especially in men with low e-GFR.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Insulin resistance; Kidney; Magnesium; Non-obese

Mesh:

Substances:

Year:  2021        PMID: 34537919     DOI: 10.1007/s12011-021-02922-9

Source DB:  PubMed          Journal:  Biol Trace Elem Res        ISSN: 0163-4984            Impact factor:   3.738


  32 in total

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Journal:  Magnes Res       Date:  2016-04-01       Impact factor: 1.115

Review 3.  Insulin effects in muscle and adipose tissue.

Authors:  George Dimitriadis; Panayota Mitrou; Vaia Lambadiari; Eirini Maratou; Sotirios A Raptis
Journal:  Diabetes Res Clin Pract       Date:  2011-08       Impact factor: 5.602

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Authors:  S Ramadass; Sharbari Basu; A R Srinivasan
Journal:  Diabetes Metab Syndr       Date:  2014-05-24

Review 5.  Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage.

Authors:  Ranganath Muniyappa; Sihoon Lee; Hui Chen; Michael J Quon
Journal:  Am J Physiol Endocrinol Metab       Date:  2007-10-23       Impact factor: 4.310

Review 6.  Intracellular magnesium and insulin resistance.

Authors:  Junji Takaya; Hirohiko Higashino; Yohnosuke Kobayashi
Journal:  Magnes Res       Date:  2004-06       Impact factor: 1.115

7.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
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8.  Metabolically healthy obese individuals present similar chronic inflammation level but less insulin-resistance than obese individuals with metabolic syndrome.

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Journal:  PLoS One       Date:  2017-12-28       Impact factor: 3.240

Review 9.  Magnesium in Prevention and Therapy.

Authors:  Uwe Gröber; Joachim Schmidt; Klaus Kisters
Journal:  Nutrients       Date:  2015-09-23       Impact factor: 5.717

10.  Higher magnesium intake reduces risk of impaired glucose and insulin metabolism and progression from prediabetes to diabetes in middle-aged americans.

Authors:  Adela Hruby; James B Meigs; Christopher J O'Donnell; Paul F Jacques; Nicola M McKeown
Journal:  Diabetes Care       Date:  2013-10-02       Impact factor: 19.112

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