Association between circulating micronutrient pattern, glycemic control, and insulin resistance in type 2 diabetes mellitus

IF 4.1 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Biometals Pub Date : 2024-01-10 DOI:10.1007/s10534-023-00568-9
Ramara Kadija Fonseca Santos, Silvânio Silvério Lopes da Costa, Samir Hipólito dos Santos, Vivianne de Sousa Rocha, Ana Mara de Oliveira e Silva, Liliane Viana Pires
{"title":"Association between circulating micronutrient pattern, glycemic control, and insulin resistance in type 2 diabetes mellitus","authors":"Ramara Kadija Fonseca Santos,&nbsp;Silvânio Silvério Lopes da Costa,&nbsp;Samir Hipólito dos Santos,&nbsp;Vivianne de Sousa Rocha,&nbsp;Ana Mara de Oliveira e Silva,&nbsp;Liliane Viana Pires","doi":"10.1007/s10534-023-00568-9","DOIUrl":null,"url":null,"abstract":"<div><p>The circulating micronutrient pattern in type 2 diabetes mellitus (T2DM) may impact glycemic control and insulin resistance; however, there is a scarcity of studies that have evaluated the circulating micronutrient pattern in the T2DM population. Therefore, our objective was to identify circulating micronutrient pattern and their association with markers of glycemic control and insulin resistance in individuals with T2DM. We developed a cross-sectional observational study involving adults with T2DM in Sergipe, Brazil. We assessed plasma levels of magnesium, zinc, calcium, potassium, and serum 25-hydroxyvitamin D. Additionally, also measured fasting glucose levels, the percentage of glycated hemoglobin (%HbA1c), and calculated the homeostatic model assessment for insulin resistance (HOMA-IR). Patterns of body reserve were established using principal component analysis and categorized into quartiles. Binary logistic regression models were employed. We evaluated 114 individuals (63.7% women), with a median age and body mass index of 49 years and 29.6 kg/m², respectively. Two circulating micronutrient patterns were identified, explaining 62.5% of the variance: Pattern 1 (positive contributions from magnesium, zinc, calcium, and potassium) and Pattern 2 (positive contributions from 25-hydroxyvitamin D and zinc, with a negative contribution from potassium). Lowest quartile for Pattern 1 and Pattern 2 exhibiting a 4.32-fold (p = 0.019) and 3.97-fold (p = 0.038) higher likelihood of increasing HOMA-IR and %HbA1c values, respectively, compared to the larger quartiles. However, no associations were found between these patterns and fasting glucose values. Lowest quartile for both patterns of micronutrients was associated with inadequate metabolic control in individuals with T2DM.</p></div>","PeriodicalId":491,"journal":{"name":"Biometals","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biometals","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1007/s10534-023-00568-9","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The circulating micronutrient pattern in type 2 diabetes mellitus (T2DM) may impact glycemic control and insulin resistance; however, there is a scarcity of studies that have evaluated the circulating micronutrient pattern in the T2DM population. Therefore, our objective was to identify circulating micronutrient pattern and their association with markers of glycemic control and insulin resistance in individuals with T2DM. We developed a cross-sectional observational study involving adults with T2DM in Sergipe, Brazil. We assessed plasma levels of magnesium, zinc, calcium, potassium, and serum 25-hydroxyvitamin D. Additionally, also measured fasting glucose levels, the percentage of glycated hemoglobin (%HbA1c), and calculated the homeostatic model assessment for insulin resistance (HOMA-IR). Patterns of body reserve were established using principal component analysis and categorized into quartiles. Binary logistic regression models were employed. We evaluated 114 individuals (63.7% women), with a median age and body mass index of 49 years and 29.6 kg/m², respectively. Two circulating micronutrient patterns were identified, explaining 62.5% of the variance: Pattern 1 (positive contributions from magnesium, zinc, calcium, and potassium) and Pattern 2 (positive contributions from 25-hydroxyvitamin D and zinc, with a negative contribution from potassium). Lowest quartile for Pattern 1 and Pattern 2 exhibiting a 4.32-fold (p = 0.019) and 3.97-fold (p = 0.038) higher likelihood of increasing HOMA-IR and %HbA1c values, respectively, compared to the larger quartiles. However, no associations were found between these patterns and fasting glucose values. Lowest quartile for both patterns of micronutrients was associated with inadequate metabolic control in individuals with T2DM.

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
2 型糖尿病患者的循环微量营养素模式、血糖控制和胰岛素抵抗之间的关系。
2 型糖尿病(T2DM)患者的循环微量营养素模式可能会对血糖控制和胰岛素抵抗产生影响;然而,很少有研究对 T2DM 患者的循环微量营养素模式进行评估。因此,我们的目标是确定 T2DM 患者的循环微量营养素模式及其与血糖控制和胰岛素抵抗指标的关系。我们在巴西塞尔希培开展了一项横断面观察研究,研究对象包括患有 T2DM 的成年人。此外,我们还测量了空腹血糖水平、糖化血红蛋白百分比(%HbA1c),并计算了胰岛素抵抗的稳态模型评估(HOMA-IR)。采用主成分分析法确定了身体储备模式,并将其分为四等分。采用二元逻辑回归模型。我们对 114 人(63.7% 为女性)进行了评估,他们的中位年龄和体重指数分别为 49 岁和 29.6 kg/m²。我们确定了两种循环微量营养素模式,可解释 62.5%的变异:模式 1(镁、锌、钙和钾的正贡献)和模式 2(25-羟维生素 D 和锌的正贡献,钾的负贡献)。与较大的四分位数相比,模式 1 和模式 2 的最低四分位数显示 HOMA-IR 和 HbA1c 百分比值增加的可能性分别为 4.32 倍(p = 0.019)和 3.97 倍(p = 0.038)。然而,这些模式与空腹血糖值之间没有关联。两种微量营养素模式的最低四分位数与 T2DM 患者代谢控制不足有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Biometals
Biometals 生物-生化与分子生物学
CiteScore
5.90
自引率
8.60%
发文量
111
审稿时长
3 months
期刊介绍: BioMetals is the only established journal to feature the important role of metal ions in chemistry, biology, biochemistry, environmental science, and medicine. BioMetals is an international, multidisciplinary journal singularly devoted to the rapid publication of the fundamental advances of both basic and applied research in this field. BioMetals offers a forum for innovative research and clinical results on the structure and function of: - metal ions - metal chelates, - siderophores, - metal-containing proteins - biominerals in all biosystems. - BioMetals rapidly publishes original articles and reviews. BioMetals is a journal for metals researchers who practice in medicine, biochemistry, pharmacology, toxicology, microbiology, cell biology, chemistry, and plant physiology who are based academic, industrial and government laboratories.
期刊最新文献
Metallic nanoparticles: a promising novel therapeutic tool against antimicrobial resistance and spread of superbugs. Copper biomarkers and their relationship with dyslipidemia in women with obesity. Effect of co-exposure to multiple metals (Pb, Cd, Cr, Hg, Fe, Mn and Ni) and metalloid (As) on liver function in Swiss albino mice. A new spectrophotometric method for measuring ceruloplasmin ferroxidase activity: an innovative approach. The arylbipyridine platinum (II) complex increases the level of ROS and induces lipid peroxidation in glioblastoma cells.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1