Hemoglobin glycation index predicts cardiovascular disease in people with type 2 diabetes mellitus: A 10-year longitudinal cohort study

Kim, Mee Kyoung; Jeong, Jee Sun; Yun, Jae‐Seung; Kwon, Hyuk‐Sang; Baek, Ki Hyun; Song, Ki‐Ho; Ahn, Yu‐Bae; Ko, Seung‐Hyun

doi:10.1016/j.jdiacomp.2018.08.007

Cited by 49 publications

(55 citation statements)

References 25 publications

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“…The Actions to Control Cardiovascular Risk in Diabetes (ACCORD) study reported that patients with type 2 diabetes with a high HGI had higher levels of diabetic retinopathy and nephropathy, as also previously reported in the Diabetes Control and Complication Trial (DCCT) . In addition, numerous studies have suggested an association between HGI and cardiovascular diseases in subjects with diabetes . Even in nondiabetic subjects, a high HGI has been associated with a higher risk of vascular atherosclerosis …”

Section: Discussionsupporting

confidence: 67%

“…3,4 In addition, numerous studies have suggested an association between HGI and cardiovascular diseases in subjects with diabetes. 6,7,25,26 Even in nondiabetic subjects, a high HGI has been associated with a higher risk of vascular atherosclerosis. 7,8 A recent study demonstrated a correlation between HGI and metabolic characteristics in 387 nondiabetes patients.…”

Section: Discussionmentioning

confidence: 99%

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The haemoglobin glycation index is associated with nonalcoholic fatty liver disease in healthy subjects

Yoo

Kang

Cho

et al. 2019

Clinical Endocrinology

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Objectives The hemoglobin glycation index (HGI) quantifies interindividual variations in glycated hemoglobin (HbA1c) and is associated with diabetic complications and metabolic diseases. However, information on the association between HGI and non‐alcoholic fatty liver disease (NAFLD) in healthy subjects is limited, particularly in Asian populations. This study aimed to investigate the association between HGI and NAFLD in a healthy Korean cohort. Design Subjects were stratified in quartiles according to their HGI level. NAFLD was diagnosed by hepatic ultrasonography, hepatic steatosis index and fatty liver index. Multiple logistic regression analysis was performed to evaluate the association between HGI quartiles and the risk of NAFLD. Patients Data from subjects without diabetes who underwent liver ultrasonography during routine health examinations were retrospectively reviewed. Results Data from 14 465 subjects were included in the analysis. The prevalence of NAFLD increased significantly with each HGI quartile (24.8%, 29.7%, 32.6% and 40.6% in quartiles 1‐4, respectively; P < 0.001). In comparison with the lowest HGI quartile group, the highest quartile exhibited worse metabolic parameters, including body weight, waist circumference, body mass index and lipid profiles. Multiple logistic regression analysis adjusted for multiple factors showed that the odds ratio of having NAFLD was 1.564 (95% CI: 1.350‐1.813, P < 0.001) in the highest HGI quartile. Conclusions Elevated HGI levels are independently associated with NAFLD in a healthy Asian population.

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Section: Discussionsupporting

confidence: 67%

Section: Discussionmentioning

confidence: 99%

The haemoglobin glycation index is associated with nonalcoholic fatty liver disease in healthy subjects

Yoo

Kang

Cho

et al. 2019

Clinical Endocrinology

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“…Similarly, HGI was reported to be positively correlated with cardo-metabolic risk factors, independent of other glucose indexes, including HbA1c and post-load glucose concentrations [26]. A ten-year prospective cohort survey in Korean demonstrated that baseline HGI was signi cantly associated with the incidence of cardiovascular disease even after controlling HbA1c levels [27]. Overall, this strongly suggested that HGI may confer additional in uences on cardiovascular diseases over other glucose measurements.…”

Section: Discussionmentioning

confidence: 92%

“…Second, FPG is comparatively more common and easily available in daily practice, whereas mean blood glucose data is not easily accessible and inconvenient to ascertain. Furthermore, a number of past studies have used FPG to calculate HGI, and demonstrated that it was an e cient and powerful indicator re ecting variation of HbA1c and may be used to predict related outcomes of diabetes [26,27].…”

Section: Discussionmentioning

confidence: 99%

Association of hemoglobin glycation index and its interaction with obesity /family history of hypertension on hypertension risk: a community-based cross-sectional survey

Song

Zhao

et al. 2020

Preprint

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Abstract Background: Hemoglobin glycation index (HGI) is considered to be a convenient measurable indicator to assess the inter-individual variation of HbA1c. In the present study, we tested the relationship between HGI and risk of hypertension, and further explored the possible interacting influences of HGI with other such factors on hypertension risk among Chinese individuals.Methods : The eligible subjects were chosen from a community-based cross-sectional survey in China. We collected relevant data and clinical indicators for each participant. HGI was calculated as “measured HbA1c-predicted HbA1c” and divided into four categories according to quartile. The following indicators were used to assess interactive effects：(1) relative excess risk due to interaction (RERI); (2) attributable proportion due to interaction (AP); and (3) synergy index (SI). Statistical analysis was performed using R software.Results: Specifically, 1777 eligible participants were selected in this cross-sectional survey. There were 433 subjects who were identified to have hypertension (24.4%). A significant increase in the prevalence of hypertension from Q1 to Q4 of HGI was observed (P<0.001). Multivariable logistic model demonstrated that subjects at the highest HGI group had a substantially increased risk of being hypertensive than subjects in the first quartile of HGI, as indicated by the OR value of 1.87(95%CI: 1.26-2.78). Moreover, a significant interaction between family history of hypertension and HGI on hypertension risk was detected (RERI:1.36,95%CI:0.11-2.63; AP: 0.43, 95%CI:0.17-0.69; and SI:2.68, 95% CI:1.10-6.48). The interactive effect between HGI and abdominal obesity was also found to be significant, as estimated by the value of RERI (1.04, 95%CI:0.24-1.85), AP (0.33, 95% CI: 0.11-0.56) and SI (1.96, 95%CI:1.01-3.79). However, in the analysis of the interaction between HGI and general obesity, only the AP value (0.28, 95%CI: 0.01-0.54) was observed to be significant.Conclusion: High HGI was independently associated with the risk of hypertension. Moreover, HGI significantly shared interactions with obesity and family history of hypertension that influenced the risk of hypertension.

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“…e irreversible nature of AGE-promoted chemical modifications contributes to the so-called hyperglycemic memory effect, in which the glycated products cannot be eliminated by the restoration of normal blood sugar levels. Studies have demonstrated significantly higher renal AGE levels in diabetic animals and human patients [7][8][9][10]. It has also been shown that intravenous injection of AGEs can induce pathophysiological changes similar to those caused by DN in rats [11].…”

Section: Introductionmentioning

confidence: 99%

MiR‐92b‐3p is Induced by Advanced Glycation End Products and Involved in the Pathogenesis of Diabetic Nephropathy

Wang

Geng

Sun

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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Purpose. The current study aims to examine the effects of advanced glycation end products (AGEs) on the microRNA (miRNA) expression profile in the kidney tissues of rats. Methods. Wistar rats were randomly divided into three equal experiment groups: the AGE group, the RSA group, and the control group. The rats in the AGE group and the RSA group were administered with advanced glycation end products (AGEs) and rat serum albumin (RSA) via the tail vein, respectively, whereas the control group received PBS. Total RNA was prepared from the rat kidney tissues, and the miRNA expression profiles in different experiment groups were compared by microarray analysis. The expression levels of selected differential miRNAs were verified by RT-qPCR. Target gene prediction was conducted using algorithms such as TargetScan, miRanda, and PICTar. Functional analysis was performed to determine the putative biological roles of the validated miRNAs. Results. The microarray study revealed 451 upregulated and 320 downregulated miRNAs in the AGE group compared with the RSA group (p<0.05). Seven miRNAs, including miR-21-5p, miR-92b-3p, miR-140-3p, miR-196a-5p, miR-181b-5p, miR-186-5p, and miR-192-5p, were screened and verified using RT-qPCR, of which, the change of miR-92b-3p was the most obvious according to the miRNA expression different multiple and p value. Furthermore, the expression trend of miR-92b-3p measured by RT-qPCR was shown to be consistent with the microarray results. Bioinformatics analysis and luciferase reporter assay identified Smad7 was a direct target of miR-92b-3p. Both immunohistochemical and western blotting showed that Smad7 expression was significantly suppressed in the kidney tissues from the AGE group compared with the control and RSA groups. Conclusion. The results of the current study suggested that miR-92b-3p could mediate AGE-induced development of renal abnormalities through targeting Smad7 in rats with DN.

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Hemoglobin glycation index predicts cardiovascular disease in people with type 2 diabetes mellitus: A 10-year longitudinal cohort study

Cited by 49 publications

References 25 publications

The haemoglobin glycation index is associated with nonalcoholic fatty liver disease in healthy subjects

The haemoglobin glycation index is associated with nonalcoholic fatty liver disease in healthy subjects

Association of hemoglobin glycation index and its interaction with obesity /family history of hypertension on hypertension risk: a community-based cross-sectional survey

MiR‐92b‐3p is Induced by Advanced Glycation End Products and Involved in the Pathogenesis of Diabetic Nephropathy

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