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通过傅里叶变换红外光谱研究二甲双胍对心血管糖尿病患者新冠病毒感染风险作用的数学模型

A Mathematical Model of Metformin Action on COVID-19 Risk Infection in Cardiovascular Diabetic Patients Studied by FTIR Spectroscopy.

作者信息

Mylonas Evangelos, Mamareli Christina, Filippakis Michael, Mamarelis Ioannis, Anastassopoulou Jane, Theophanides Theophile

机构信息

Department of Digital Systems, University of Piraeus, 80 M. Karaoli & A. Dimitriou, 18534 Piraeus, Greece.

Athens Institute for Education and Research, 9 Chalckokondili Str., 10677 Athens, Greece.

出版信息

Int J Mol Sci. 2025 Jun 30;26(13):6332. doi: 10.3390/ijms26136332.

Abstract

Several studies have revealed that patients with type 2 diabetes (T2D) infected with COVID-19 who were medicated with metformin showed higher recovery rates than those administered other antidiabetic drugs. To determine the mechanism of action of antidiabetic drugs against COVID-19, we developed a mathematical model that was based on the number of infected and recovered T2D patients. Moreover, the "diagnostic frequencies" of the infected T2D patients, determined using Fourier-Transform Infrared (FTIR) spectroscopy, were very helpful. In particular, the band at 1775 cm, attributed to IgG antibodies, could be used as a "diagnostic frequency" for COVID-19 infection. The increased intensity of the band of C-O-C sugar moieties suggests an increased number of OH chemical groups that enhance the binding sites of SARS-CoV-2 spike protein for entering host cells. The changes were more pronounced in patients medicated with thiazolidinediones than those using insulin and metformin. Both FTIR spectra and the developed mathematical model confirmed that patients using thiazolidinediones showed a higher risk of COVID-19 infection and mortality. The data support the hypothesis that the NH chemical groups of metformin molecules interact directly through the SARS-CoV-2 spike protein, preventing the entry of COVID-19 into the host membrane cells. Indirectly, metformin inhibits the host binding sites for COVID-19 entry by lowering AGE production.

摘要

多项研究表明,2型糖尿病(T2D)患者感染新冠病毒后,使用二甲双胍治疗的患者康复率高于使用其他抗糖尿病药物的患者。为了确定抗糖尿病药物对抗新冠病毒的作用机制,我们基于感染和康复的2型糖尿病患者数量建立了一个数学模型。此外,使用傅里叶变换红外(FTIR)光谱法测定的感染2型糖尿病患者的“诊断频率”非常有帮助。特别是,归因于IgG抗体的1775 cm处的波段可作为新冠病毒感染的“诊断频率”。C-O-C糖部分波段强度的增加表明OH化学基团数量增加,这些基团增强了新冠病毒刺突蛋白进入宿主细胞的结合位点。与使用胰岛素和二甲双胍的患者相比,使用噻唑烷二酮类药物的患者变化更为明显。FTIR光谱和建立的数学模型均证实,使用噻唑烷二酮类药物的患者感染新冠病毒和死亡的风险更高。这些数据支持了这样的假设,即二甲双胍分子的NH化学基团通过新冠病毒刺突蛋白直接相互作用,阻止新冠病毒进入宿主膜细胞。间接而言,二甲双胍通过降低晚期糖基化终末产物的产生来抑制新冠病毒进入的宿主结合位点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e2/12249686/cf9d2b89ec56/ijms-26-06332-g001.jpg

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