Malondialdehyde and Zinc May Relate to Severity of Microvascular Complications in Diabetes: A Preliminary Study on Older Adults with Type 2 Diabetes Mellitus in Northeast China

Abstract

Background

Serum trace elements and oxidative stress factors are related to diabetic microvascular complications. The study was to investigate the complex relationship between trace elements, oxidative stress factors, and the severity of microvascular complications of diabetes in older adults.

Methods

The present study included patients with or without type 2 diabetes, and blood glucose, blood lipids, trace elements (iron, magnesium, zinc), oxidative stress factors (malondialdehyde (MDA), nitric oxide (NO), superoxide dismutase (SOD), and total antioxidant capacity (T-AOC)) were evaluated. Risk factors for the severity of diabetic microvascular complications in older adults with diabetes were also estimated.

Results

There were statistically significant differences in fasting blood glucose (FBG), triglycerides (TG), low density lipoprotein (LDL), glycated hemoglobin (HbAlc), MDA, NO, SOD, T-AOC, magnesium, and zinc between the two groups (P<0.05). Iron (r_Zinc = 0.147, r_SOD = 0.180, r_T-AOC = 0.193, P < 0.05) was positively correlated with zinc, SOD and T-AOC. Iron was negatively correlated with MDA (r_MDA = −0.146, P < 0.05). Magnesium was positively correlated with SOD (r_Magnesium = 0.147, P < 0.05). Zinc (r_SOD = 0.616, r_T-AOC = 0.575, P < 0.01) was positively correlated with SOD and T-AOC. Zinc (r_MDA =−0.636, r_NO=−0.616, P<0.01) was positively correlated with MDA and negatively correlated with NO. The course of disease (18.653, [5.726; 60.764], P <0.01), FBG (1.265, [1.059; 1.511], P <0.05), HbAlc (1.545, [1.431; 1.680], P <0.01), MDA (2.989, [1.900; 4.702], P <0.01) were risk factor for the severity of diabetic microvascular complications. Zinc (0.680, [0.503; 0.919], P < 0.05) and SOD (0.820, [0.698; 0.964], P < 0.05) were protective factors for the severity of diabetic microvascular complications.

Conclusion

Serum trace elements are related to oxidative stress levels in older adults with type 2 diabetes. The more stable trace element in older adults with diabetes, the lower the oxidative stress and the fewer microvascular complications of diabetes.

Keywords:

• type 2 diabetes mellitus
• older adults
• trace elements
• diabetic microvascular complications
• oxidative stress

Introduction

Diabetes mellitus (DM) is common endocrine system chronic disease, and its microvascular complications include diabetic peripheral vascular disease (DPVD), diabetic kidney disease (DN), and diabetic peripheral neuropathy (DPN).¹ Diabetes and its complications can not only greatly reduce the quality of life of patients but also cause great pain to their family and an enormous burden on economy, society, and healthcare systems.² In China, the prevalence of diabetes in the elderly (≥60 years) was 20.4%, and the total number of elderly diabetes was estimated to exceed 30 million.³ Diabetes in the elderly is mainly type 2 diabetes mellitus (T2DM), which has the characteristics of atypical clinical manifestations, high prevalence, hazard, and large heterogeneity. When elderly diabetes is discovered, there are already related complications, which seriously affect the prognosis.⁴

Several studies have shown that serum trace elements are closely related to the occurrence and development of T2DM and its complications in the elderly.⁵ Serum iron overload causes cell damage, insulin resistance and glucose and lipid metabolism disorders, and accelerates the occurrence of diabetes and its complications.⁶ Persistent hyperglycemia in diabetes promotes oxidative stress, inhibits antioxidants, and leads to diabetic vascular damage.⁷ Trace elements are closely related to oxidative stress. Zinc and magnesium are important antioxidants and key components of many antioxidant enzymes.⁸ Iron induces oxidative stress and produces a large amount of oxygen free radicals.⁹

In recent years, many studies have reported that trace elements are closely related to oxidative stress and play an important role in the occurrence and development of diabetes and its related chronic complications. However, most of these studies were small and only investigated a single microvascular complication.^10–13 Few studies have evaluated the correlation of serum trace elements with oxidative stress and the relationship with the severity of complications in elderly patients with type 2 diabetes, especially in Asian populations. Our study covered three diabetic microvascular complications and had a larger sample size than most previous studies. Therefore, this study intends to analyze the correlation between trace elements, oxidative stress factors, and the severity of microvascular complications of diabetes in older adults, thereby providing evidence for trace elements in the treatment of diabetes and its complications in the older adults.

Methods

Participants

We included all patients hospitalized in the Geriatrics Department of the First Hospital of Jilin University between January 2019 and September 2020. All patients were hospitalized for uncontrolled hyperglycemia or evaluated for diabetes complications. Both the T2DM group and the control group were ≥60 years old.

The diagnosis of diabetes adopts the World Health Organization’s 2006 criteria:¹⁴ (1) typical symptoms, random blood glucose ≥11.1 mmol/L; (2) fasting blood glucose ≥7.0 mmol/L; (3) oral glucose tolerance test, 2-hour blood glucose ≥11.1 mmol/L. Participants without typical symptoms should repeat the blood glucose test on another day. Patients meeting any one of the above criteria were diagnosed with diabetes.

Diagnostic Criteria of Diabetic Microvascular Complications

All the participants were diagnosed at the time of hospital discharge.

Diabetic peripheral vascular disease (DPV)¹⁵ was diagnosed by color Doppler ultrasonography of bilateral lower extremity vessels or neck and brain vessels. In addition, there are symptoms of lower extremity pain, cool skin, intermittent claudication, dizziness, and headache.

The diagnosis of diabetic peripheral neuropathy (DPN)¹⁶ was based on the following: 1) History of diabetes. 2) For those with clinical symptoms (pain, numbness, and paresthesia), any one of the following five items (ankle reflex, acupuncture pain, vibration, pressure, and temperature) is abnormal. 3) For those without clinical symptoms, any two of the following five items (ankle reflex, pinprick pain, vibration, pressure, and temperature) are abnormal. Neuropathy caused by other factors was excluded when DPN was diagnosed.

Diabetic kidney disease (DKD)¹⁷ was diagnosed by urine albumin/creatinine ratio (UACR) and serum creatinine levels. All patients were asked to provide urine samples for 3 times. DKD was diagnosed if the UACR was twice above 30 mg/g, or if an abnormally elevated serum creatinine level was detected. At the same time, CKD caused by hypertension or other diseases was excluded.

The T2DM group was divided into no complication group, one complication group, two complication group, and three complication group according to the degree of microvascular complications.

Study Design

Medical histories were obtained for all patients, including details of height, weight, and waist circumference. We also obtained iron, magnesium, zinc, malondialdehyde (MDA), nitric oxide (NO), superoxide dismutase (SOD), total antioxidant capacity (T-AOC), fasting blood glucose (FBG), glycosylated hemoglobin (HbAlc), cholesterol lipid (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL), and high-density lipoprotein cholesterol (HDL).

Iron level was assayed by the ferrozine method (BSBE, China). Magnesium was assayed by the xylene blue method (LEADMAN, China). Zinc was assayed by PAPS chromogenic reagent method (BSBE, China). FBG was assayed by glucose oxidase method (LEADMAN, China), and HbAlc was assayed by HPLC method (Bio-Rad, USA). TC and TG were assayed by CHOD-PAP method (Beckman Coulter, USA). LDL and HDL were assayed by the direct method-catalase clearance method (Beckman Coulter, USA). MDA was assayed by the thiobarbituric acid colorimetric method (TBA method) (Jiancheng Bio, China). NO was assayed by the nitrate reductase method (Jiancheng Bio, China). SOD was assayed by the nitrite formation method (WST method) (Jiancheng Bio, China). T-AOC was assayed by chemical colorimetry (Jiancheng Bio, China). Test methods for oxidative stress factors were included in the supplementary file.

We initially compared clinical characteristics, trace element, and oxidative stress levels in patients with and without diabetes. We also compared serum trace element and oxidative stress levels in patients with different numbers of microvascular complications. We also performed correlation analysis to analyze the relationship between trace elements and oxidative stress levels. We also compared the characteristics of patients with and without microvascular complications. A logistic regression analysis was further performed to analyze the role of trace elements and oxidative stress as independent risk factors for microvascular complications.

Statistical Methods

SPSS 24.0 (IBM, USA) was used to analyze the data. Normally distributed data were expressed as mean ± standard deviation (SD). Non-normally distributed data were expressed as median and interquartile range. Count data were expressed as rate or composition ratio. The t-test or rank-sum test was used to compare the biochemical levels, trace elements, and oxidative stress levels between the two groups. One-way analysis of variance (ANOVA) or Kruskal–Wallis H rank sum test was used to compare the biochemical levels, trace elements, and oxidative stress levels of complications of different severity. The chi-square test was used to compare proportions between groups. Spearman test was used to analyze the correlation between serum trace elements and oxidative stress levels in elderly diabetic patients. Univariate logistic analysis was used to analyze the correlation between biochemical levels, trace elements, oxidative stress levels, and the severity of microvascular complications. Multivariate ordinal logistic analysis was used to determine the risk factors for the severity of microvascular complications in elderly diabetic patients. The test level of α=0.05 was used, and differences with P<0.05 were considered statistically significant.

Results

The 296 patients included 192 with T2DM and 104 without T2DM. The 192 patients with T2DM included 81 (42.2%) males and 111 (57.8%) females. Forty patients (20.9%) were free of complications. One microvascular complication occurred in 74 patients (38.5%). Two different microvascular complications occurred in 63 patients (32.8%). All three complications occurred in 15 patients (7.8%) (Table 1).

Table 1 Clinical Characteristics of Patients

Items		Without T2DM	Without DMC	With DMC
				1	2	3
	Age (years), median (range)	70.9(67.7,76.1)	69.5(64.0,75.8)	69.0(65.0,75.0)	72.0(66.8,78.0)	76.0(70.0,80.0)
Gender	Male, n (%)	44(42.3%)	17(42.5%)	30(40.5%)	28(44.4%)	6(40.0%)
	Female, n (%)	60(57.7%)	23(57.5%)	44(59.5%)	35(55.6%)	9(60.0%)
Smoking	Exist, n (%)	17(16.3%)	4(10.8%)	19(27.9%)	18(29.0%)	4(30.8%)
	No, n (%)	87(83.7%)	33(89.2%)	49(72.1%)	44(71.0%)	9(69.2%)
Drink alcohol	Exist, n (%)	2(1.9%)	4(10.8%)	8(11.4%)	12(19.4%)	3(20.0%)
	No, n (%)	102(98.1%)	33(89.2%)	62(88.6%)	50(80.6%)	12(80.0%)
Duration of disease	>10 years, n (%)	--	0(0.0%)	33(44.6%)	32(50.8%)	12(80.0%)
	5–10 years, n (%)	--	20(51.3%)	35(47.3%)	28(44.4%)	2(13.3%)
	<5 years, n (%)	--	19(48.7%)	6(8.1%)	3(4.8%)	1(6.7%)
BMI	≥25, n (%)	19(18.8%)	15(38.5%)	24(33.8%)	19(32.8%)	8(53.3%)
	23–25, n (%)	36(35.6%)	15(38.5%)	27(38.0%)	22(37.9%)	4(26.7%)
	<23, n (%)	46(45.6%)	9(23.1%)	20(28.2%)	17(29.3%)	3(20.0%)
FBG (mmol/L), median (range)		5.0(4.7,5.4)	6.2(5.5,7.3)	6.2(5.5,7.3)	7.5(6.3,8.9)	7.4(6.6,9.5)
TC (mmol/L), median (range)		4.5(3.8,5.3)	4.4(3.6,5.1)	4.4(3.6,5.1)	4.4(3.8,5.4)	4.7(4.1,5.8)
TG (mmol/L), median (range)		1.3(1.0,1.8)	1.5(1.0,2.3)	1.5(1.0,2.3)	1.6(1.1,2.1)	1.9(1.3,2.3)
HDL (mmol/L), median (range)		1.1(1.0,1.3)	1.1(0.9,1.3)	1.1(0.9,1.3)	1.1(0.9,1.2)	1.1(0.9,1.3)
LDL (mmol/L), mean ± SD		2.6±0.8	2.7±0.8	2.7±0.8	2.8±0.7	3.0±0.9
HbAlc (%), median (range)		5.6(5.3,5.9)	6.9(6.5,7.4)	6.9(6.5,7.4)	7.8(7.2,8.6)	8.1(7.0,9.5)
MDA (nmol/mL), median (range)		4.4(4.0,5.1)	4.7(4.4,5.5)	4.7(4.4,5.5)	6.4(5.9,6.8)	6.6(6.2,7.0)
NO (μmol/L), median (range)		29.6(27.0,34.5)	55.6(34.7,73.2)	55.6(34.7,73.2)	55.7(40.7,68.6)	70.5(52.3,85.0)
SOD (U/mL), median (range)		23.2(21.7,24.4)	22.8(20.8,23.6)	22.8(20.8,23.6)	21.4(20.4,23.4)	20.9(19.6,22.7)
T-AOC (U/mL), median (range)		15.4(13.1,17.6)	12.4(10.1,13.6)	12.4(10.1,13.6)	10.1(9.1,12.4)	9.9(8.9,11.1)
Iron (mmol/L), median (range)		13.8(10.4,17.9)	12.9(10.7,18.1)	12.9(10.7,18.1)	13.0(10.1,15.4)	13.3(10.4,16.1)
Magnesium (mmol/L), median (range)		0.9(0.8,1.0)	0.9(0.8,0.9)	0.9(0.8,0.9)	0.8(0.8,0.9)	0.8(0.8,0.9)
Zinc (mmol/L), median (range)		13.7(12.1,14.8)	12.5(11.4,13.5)	12.5(11.4,13.5)	11.3(10.5,12.7)	10.7(10.2,12.1)

Abbreviations: SD, Standard deviation; DMC, Diabetic microvascular complications; T2DM, Type 2 diabetes mellitus; FBG, Fasting blood glucose; TC, Total cholesterol; TG, Triglyceride; HDL, High-density lipoprotein cholesterol; LDL, Low-density lipoprotein cholesterol; HbA1c, Glycated hemoglobin; MDA, malondialdehyde; NO, nitric oxide; SOD, superoxide dismutase; T-AOC, total antioxidant capacity.

Comparison of Patients with and without Diabetes

Fasting blood glucose, TG, LDL, HbAlc, MDA, NO, SOD, T-AOC, magnesium, and zinc levels were significantly different between the two groups with and without T2DM. SOD, T-AOC, magnesium, and zinc in patients with DM were significantly lower than those in patients without DM. Fasting blood glucose, TG, LDL, HbAlc, MDA, and NO in patients with DM were significantly higher than those in patients without DM (Table 2).

Table 2 Clinical Characteristics of Patients with and without T2DM

Items	Without T2DM	With T2DM	T/Z	P
FBG (mmol/L), median (range)	5.0(4.7,5.4)	7.3(6.0,8.8)	−10.452^†	<0.001*
TC (mmol/L), median (range)	4.5(3.8,5.3)	4.5(3.9,5.4)	−0.184^†	0.854
TG (mmol/L), median (range)	1.3(1.0,1.8)	1.7(1.1,2.2)	−3.484^†	<0.001*
HDL (mmol/L), median (range)	1.1(1.0,1.3)	1.1(0.9,1.2)	−1.181^†	0.238
LDL (mmol/L), mean ± SD	2.6±0.8	2.9±0.8	−2.597^‡	0.010*
HbAlc (%), median (range)	5.6(5.3,5.9)	7.7(6.9,8.8)	−13.663^†	<0.001*
MDA (nmol/mL), median (range)	4.4(4.0,5.1)	6.4(5.5,6.9)	−10.759^†	<0.001*
NO (μmol/L), median (range)	29.6(27.0,34.5)	62.9(42.5,77.0)	−10.503^†	<0.001*
SOD (U/mL), median (range)	23.2(21.7,24.4)	21.3(20.0,23.3)	−5.297^†	<0.001*
T-AOC (U/mL), median (range)	15.4(13.1,17.6)	10.1(9.1,12.0)	−11.960^†	<0.001*
Iron (mmol/L), median (range)	13.8(10.4,17.9)	13.0(10.4,15.8)	−1.490^†	0.136
Magnesium (mmol/L), median (range)	0.9(0.8,1.0)	0.8(0.8,0.9)	−5.429^†	<0.001*
Zinc (mmol/L), median (range)	13.7(12.1,14.8)	11.2(10.3,12.7)	−8.466^†	<0.001*

Notes: ^†t values, ^‡Z values, *Statistical significance.

Abbreviations: SD, Standard deviation; FBG, Fasting blood glucose; TC, Total cholesterol; TG, Triglyceride; HDL, High-density lipoprotein cholesterol; LDL, Low-density lipoprotein cholesterol; HbA1c, Glycated hemoglobin; MDA, malondialdehyde; NO, nitric oxide; SOD, superoxide dismutase; T-AOC, total antioxidant capacity.

Comparison of Patients with and without Diabetic Microvascular Complications

There were significant differences in the levels of fasting blood glucose, HbAlc, MDA, NO, SOD, T-AOC, magnesium, and zinc in patients with complications of different severity (P<0.05). Patients with DMC had higher fasting blood glucose, HbAlc, MDA, NO, and lower magnesium, zinc, SOD, and T-AOC (Table 3).

Table 3 Clinical Characteristics of Patients with and without Diabetic Microvascular Complications

Items	Without DMC	With DMC			F/H	P
		1	2	3
FBG (mmol/L), median (range)	6.2(5.5,7.3)	7.5(6.3,8.9)	7.4(6.6,9.5)	8.8(5.0,10.9)	17.404^‡	<0.001*
TC (mmol/L), median (range)	4.4(3.6,5.1)	4.4(3.8,5.4)	4.7(4.1,5.8)	4.3(3.5,5.0)	4.816^‡	0.186
TG (mmol/L), median (range)	1.5(1.0,2.3)	1.6(1.1,2.1)	1.9(1.3,2.3)	1.8(1.0,2.4)	3.097^‡	0.377
HDL (mmol/L), median (range)	1.1(0.9,1.3)	1.1(0.9,1.2)	1.1(0.9,1.3)	1.0(0.9,1.2)	2.393^‡	0.495
LDL (mmol/L), mean ± SD	2.7±0.8	2.8±0.7	3.0±0.9	3.1±1.0	1.694^†	0.170
HbAlc (%), median (range)	6.9(6.5,7.4)	7.8(7.2,8.6)	8.1(7.0,9.5)	8.9(8.4,10.5)	31.847^‡	<0.001*
MDA (nmol/mL), median (range)	4.7(4.4,5.5)	6.4(5.9,6.8)	6.6(6.2,7.0)	7.1(6.4,7.7)	51.526^‡	<0.001*
NO (μmol/L), median (range)	55.6(34.7,73.2)	55.7(40.7,68.6)	70.5(52.3,85.0)	78.0(70.8,95.9)	22.819^‡	<0.001*
SOD (U/mL), median (range)	22.8(20.8,23.6)	21.4(20.4,23.4)	20.9(19.6,22.7)	19.9(19.1,20.7)	18.482^‡	<0.001*
T-AOC (U/mL), median (range)	12.4(10.1,13.6)	10.1(9.1,12.4)	9.9(8.9,11.1)	9.6(8.0,10.8)	22.842^‡	<0.001*
Iron (mmol/L) median (range)	12.9(10.7,18.1)	13.0(10.1,15.4)	13.3(10.4,16.1)	12.2(8.4,16.3)	1.829^‡	0.609
Magnesium (mmol/L), median (range)	0.9(0.8,0.9)	0.8(0.8,0.9)	0.8(0.8,0.9)	0.8(0.7,0.8)	11.688^‡	0.009*
Zinc (mmol/L), median (range)	12.5(11.4,13.5)	11.3(10.5,12.7)	10.7(10.2,12.1)	10.6(9.7,10.9)	21.54^‡	<0.001*

Notes: ^†F values, ^‡H values, *Statistical significance.

Abbreviations: SD, Standard deviation; DMC, Diabetic microvascular complications; FBG, Fasting blood glucose; TC, Total cholesterol; TG, Triglyceride; HDL, High-density lipoprotein cholesterol; LDL, Low-density lipoprotein cholesterol; HbA1c, Glycated hemoglobin; MDA, malondialdehyde; NO, nitric oxide; SOD, superoxide dismutase; T-AOC, total antioxidant capacity.

Association Between Trace Elements and Oxidative Stress Levels in Elderly Diabetic Patients

Iron level was significantly positively correlated with zinc (Correlation Coefficient = 0.147, P < 0.05), SOD (Correlation Coefficient = 0.180, P < 0.05), and T-AOC levels (Correlation Coefficient = 0.193, P < 0.01). Iron level was significantly negatively correlated with MDA level (Correlation Coefficient = −0.146, P < 0.05). Serum magnesium level was significantly positively correlated with SOD level (Correlation Coefficient =0.147, P < 0.05). Zinc level was significantly positively correlated with SOD (Correlation Coefficient =0.616, P < 0.01) and T-AOC level (Correlation Coefficient = 0.575, P < 0.01). Zinc level was significantly negatively correlated with MDA (Correlation Coefficient =−0.636, P < 0.01) and NO level (Correlation Coefficient =−0.616, P < 0.01) (Figure 1).

Figure 1 The association between trace elements and oxidative stress levels in elderly diabetic patients Matrix heatmap showed Spearman correlation coefficient values for all study parameters. Negative correlations are blue, positive correlations are red, and white indicates no association between variables. *P<0.05, **P<0.01.

Logistic Regression Analysis of the Severity of Diabetic Microvascular Complications in Elderly Patients

Age, duration of diabetes, fasting blood glucose, LDL, HbAlc, MDA, NO, SOD, T-AOC, and zinc had an impact on the severity of diabetic microvascular complications in elderly patients (P<0.05). Gender, smoking, drinking, BMI, TC, TG, HDL, iron, magnesium had no effect on the severity of microvascular complications in elderly diabetic patients (Table 4).

Table 4 Logistic Regression Analysis of the Severity of Microvascular Complications in Elderly Diabetic Patients

Items		B	SE	Wald	P	OR	95% CI
							Lower	Upper
	Age (years)	0.061	0.023	6.795	0.009*	1.063	1.015	1.113
Gender	Male	0.041	0.267	0.023	0.878	1.042	0.617	1.756
	Female	Reference
Smoking	Exist	0.551	0.318	2.991	0.084	1.735	0.930	3.238
	No	Reference
Drink alcohol	Exist	0.563	0.384	2.147	0.143	1.756	0.827	3.728
	No	Reference
Duration of disease	>10 years	3.118	0.475	43.014	<0.001*	22.601	8.900	57.397
	5–10 years	1.872	0.444	17.767	<0.001*	6.501	2.724	15.534
	<5 years	Reference
BMI	≥25	−0.001	0.344	0.000	0.997	0.999	0.509	1.962
	23–25	−0.135	0.342	0.154	0.694	0.874	0.447	1.709
	<23	Reference
	FBG (mmol/L)	0.233	0.055	17.999	<0.001*	1.262	1.133	1.406
	TC (mmol/L)	0.201	0.115	3.048	0.081	1.223	0.975	1.533
	TG (mmol/L)	0.146	0.140	1.086	0.297	1.157	0.880	1.522
	HDL (mmol/L)	0.187	0.557	0.112	0.737	1.206	0.405	3.593
	LDL (mmol/L)	0.365	0.160	5.222	0.022*	1.441	1.053	1.972
	HbAlc (%)	0.519	0.101	26.451	<0.001*	1.680	1.379	2.046
	MDA (nmol/mL)	1.149	0.150	58.619	<0.001*	3.155	2.351	4.233
	NO(μmol/L)	0.024	0.006	17.574	<0.001*	1.024	1.013	1.036
	SOD(U/mL)	−0.215	0.059	13.109	<0.001*	0.807	0.718	0.907
	T-AOC(U/mL)	−0.244	0.058	17.763	<0.001*	0.783	0.700	0.878
	Iron(mmol/L)	−0.036	0.029	1.573	0.21	0.965	0.911	1.020
	Magnesium(mmol/L)	−2.966	1.868	2.520	0.112	0.052	0.001	2.006
	Zinc(mmol/L)	−0.315	0.076	17.180	<0.001*	0.730	0.629	0.847

Note: *Statistical significance.

Abbreviations: OR, Odds ratio; 95% CI, Confidence interval; FBG, Fasting blood glucose; TC, Total cholesterol; TG, Triglyceride; HDL, High-density lipoprotein cholesterol; LDL, Low-density lipoprotein cholesterol; HbA1c, Glycated hemoglobin; MDA, malondialdehyde; NO, nitric oxide; SOD, superoxide dismutase; T-AOC, total antioxidant capacity.

Risk Factors for the Severity of Microvascular Complications in Elderly Diabetic Patients

We included factors affecting the severity of microvascular complications in elderly diabetic patients: age, duration of disease, fasting blood glucose, LDL, HbAlc, MDA, NO, SOD, T-AOC, and zinc into multivariate logistic analysis. Duration of disease, fasting blood glucose, HbAlc, MDA, SOD, zinc are the influencing factors of the severity of diabetes in the elderly. Duration of disease (18.653, [5.726; 60.764], P <0.01), fasting blood glucose (1.265, [1.059; 1.511], P <0.05), HbAlc (1.545, [1.431; 1.680], P <0.01), MDA (2.989, [1.900; 4.702], P <0.01) were risk factors for diabetes severity; zinc (0.680, [0.503; 0.919], P <0.05), SOD (0.820, [0.698; 0.964], P <0.05) were protective factors (Table 5).

Table 5 Risk Factors for the Severity of Microvascular Complications in Elderly Diabetic Patients

Items		B	SE	Wald	P	OR	95% CI
							Lower	Upper
	Age (years)	0.021	0.027	0.595	0.441	1.021	0.969	1.077
	FBG (mmol/L)	0.235	0.091	6.690	0.010*	1.265	1.059	1.511
	LDL (mmol/L)	0.175	0.209	0.706	0.401	1.191	0.791	1.795
	HbAlc (%)	0.435	0.175	0.003	<0.001*	1.545	1.431	1.680
	MDA (nmol/mL)	1.095	0.231	22.428	<0.001*	2.989	1.900	4.702
	NO (μmol/L)	0.01	0.008	1.642	0.200	1.010	0.995	1.026
	SOD (U/mL)	−0.198	0.082	5.815	0.016*	0.820	0.698	0.964
	T-AOC (U/mL)	−0.086	0.082	1.099	0.295	0.918	0.780	1.078
	Zinc (mmol/L)	−0.386	0.154	6.323	0.012*	0.680	0.503	0.919
Duration of disease	>10 years	2.926	0.602	23.592	<0.001*	18.653	5.726	60.764
	5–10 years	1.713	0.576	8.857	0.003*	5.546	1.795	17.133
	<5 years	reference

Notes: *Statistical significance.

Abbreviations: OR, Odds ratio; 95% CI, Confidence interval; FBG, Fasting blood glucose; LDL, Low-density lipoprotein cholesterol; HbA1c, Glycated hemoglobin; MDA, malondialdehyde; NO, nitric oxide; SOD, superoxide dismutase; T-AOC, total antioxidant capacity.

Discussion

Microvascular complication is one of the earliest pathological changes in diabetes and is a powerful predictor of stroke and cardiovascular disease.¹⁸ Long-term hyperglycemia exposure can cause changes in vascular structure and function.¹⁹ Furthermore, the synergistic effects of hypertension, dyslipidemia, smoking, and duration of diabetes play an important role in the development and progression of diabetic microvascular disease.²⁰ Diabetes, hypertension, and dyslipidemia, which often coexist in older adults.²¹ Moreover, only a small number of older adults with diabetes fully achieve the recommended goals of glycemic, blood pressure, and dyslipidemia management. To reduce the incidence of severe hypoglycemia, older adults with diabetes should be careful when setting blood glucose goals.²² In addition, Northeastern China has a higher degree of aging and low awareness of diabetes, which has increased the prevalence of diabetic microvascular complications.²³ This study showed that the increased incidence of microvascular complications in patients with type 2 diabetes was accompanied by an increase in duration of disease, fasting blood glucose, HbAlc, and MDA and a decrease in zinc and SOD.

However, evidence supporting the role of serum trace elements and oxidative stress as an etiological factor of diabetic microvascular complications is scarce. In this study, we found that the levels of MDA and NO in elderly patients with diabetic microvascular complications were higher than those in non-DMC patients, and the levels of SOD and T-AOC were lower than those in non-DMC patients. This is consistent with previous studies suggesting that the ability to resist oxidative stress may play an important role in the development of diabetic microvascular complications.^24,25 The levels of MDA, lipid hydrogen peroxide, and lipid peroxide in the serum of diabetic patients increased, while the antioxidant indicators such as SOD activity and T-AOC decreased.^26,27 MDA is a product of lipid peroxidation, which can cause cross-linking and polymerization of proteins and nucleic acids, resulting in cytotoxicity.^28–30 NO is one of the vasodilator factors released by vascular endothelium, which maintains the integrity and balance of endothelial cells. SOD is an important antioxidant enzyme in organisms and the main substance for scavenging free radicals. T-AOC represents and reflects the body’s antioxidant enzyme system and the sum of antioxidant substances.³¹ The research results showed that the levels of MDA, NO, SOD, and T-AOC were different among different numbers of complications in T2DM. Patients with more complications have more severe oxidative stress and weaker antioxidant capacity.

This study showed that magnesium and zinc levels of elderly diabetic patients decreased. Social and economic conditions in older adults can adversely affect dietary choices and eating patterns.³² As age increases, physiological functions decline, which affects the absorption and metabolism of trace elements.³³ The people in the study come from the high latitudes of China, which has a cold climate, insufficient sunlight, and a temperate monsoon climate. The population in Northeast China is highly heterogeneous and consists of multiple ethnic groups. There are differences in language, socioeconomic status, eating habits, and immigration time, which affect the absorption of trace elements.³⁴ Previous studies have found that the levels of zinc and magnesium of diabetic patients decreased.³⁵ Studies have reported that copper and zinc compete for the same carrier in the intestinal absorption process, which increases the absorption of copper and decreases the absorption of zinc.³⁶ The occurrence of chronic complications of diabetes is closely related to the oxidative stress caused by metabolic disorders. Various enzymes are required to participate in the process of oxidative stress in the body, and trace elements are an important part of these enzymes.³⁷ This study found that zinc is a protective factor affecting the severity of microvascular complications in elderly diabetes.

Our study also showed that the zinc level in elderly diabetic patients is positively correlated with the levels of SOD and T-AOC, and negatively correlated with the levels of MDA and NO. Zinc is an important reducing agent, which can induce the expression of metallothionein, improves endoplasmic reticulum stress and autophagy.^38,39 Zinc can increase nuclear factor E2-related factor 2 (Nrf2) protein expression. Nrf2 regulates the antioxidant effect in cells by regulating reactive oxygen species, superoxide dismutase, and glutathione S-transferase.^40,41 Zinc is also a component of superoxide dismutase, which can catalyze the generation of hydrogen peroxide from peroxide anion and has the function of resisting oxygen free radicals.⁴² A prospective cohort study found that women with low zinc intake were associated with a 17% increased risk of diabetes compared with women with adequate zinc intake.⁴³ Therefore, maintaining the level of the zinc can reduce the oxidative stress, thereby delaying the progression of diabetic microvascular complications in the older adults.

Our study also showed that magnesium level in elderly diabetic patients is positively correlated with SOD activity. Magnesium deficiency increases oxygen free radical toxicity, which may significantly contribute to an increase in oxidized lipids and the development of vascular-related diseases with age.⁴⁴ In the older adults, magnesium supplementation may be a new way to increase the body’s antioxidant capacity and treat type 2 diabetes.

Our study also showed that iron level in elderly diabetic patients is positively correlated with SOD and T-AOC, and negatively correlated with MDA. Iron is involved in the transport of oxygen, the synthesis of DNA and the transport of electrons.^9,45 In addition, iron forms free radicals through the Fenton reaction leading to tissue damage.⁴⁶ Therefore, iron should maintain a steady state. Therefore, combining these two parameters of trace elements and oxidative stress factors has higher sensitivity and specificity in judging the risk of diabetic microvascular complications than either parameter alone.

This study has several limitations. First, the study design failed to consider the utilization of hypoglycemic drugs, thus resulting in a missed opportunity to study the effects of such drugs on trace elements and oxidative stress factors. In future studies, by improving the study design, it could be confirmed that trace elements and oxidative stress factors may be affected by hypoglycemic drugs. Second, this was a cross-sectional study. The findings only indicate an association between changes in trace elements or oxidative stress factors and diabetic microvascular complications in older adults. Third, this study failed to rule out the effect of diet, which may be an important confounding factor. In addition, there is currently a lack of research on the correlation between trace elements and diabetic retinopathy. These findings need to be validated in future prospective studies.

Conclusion

In conclusion, this study suggested that serum trace elements are associated with levels of oxidative stress in elderly diabetic patients. Duration of diabetes, FBG, HBAlc, and MDA were independent risk factors for the severity of diabetes in the older adults; zinc and SOD are independent protective factors for the severity of diabetes in the older adults. The more stable the trace element in older adults with diabetes, the lower the oxidative stress and the fewer microvascular complications of diabetes.

Abbreviations

AGE; advanced glycation end products, DN; diabetic kidney disease, DPN; diabetic peripheral neuropathy, DPVD; diabetic peripheral vascular disease, FBG; fasting blood glucose, FBG; fasting blood glucose, HbAlc; glycosylated hemoglobin, HDL; high-density lipoprotein cholesterol, LDL; low-density lipoprotein cholesterol, MDA; malondialdehyde, NO; nitric oxide, Nrf2; nuclear factor E2-related factor 2, SD; standard deviation, SOD; superoxide dismutase, T2DM; type 2 diabetes mellitus, T-AOC; total antioxidant capacity, TC; cholesterol lipid, TG; triglyceride.

Ethics Approval and Informed Consent

After approval by the Ethics Committee of the First Hospital of Jilin University (ethics number: 2016-171) and obtaining the written consent of the selected patients. This study was conducted according to the Declaration of Helsinki. All participants were informed of the purpose of the experiment. All the participants signed informed consent forms.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work. Correspondence should be addressed to Yuehui Wang and Wei Sun.

Disclosure

The authors declare that they have no competing interests in this work.

Data Sharing Statement

The datasets generated and analysed during the current study are not publicly available but are available from the corresponding author on reasonable request.

Additional information

Funding

This research was supported by the National Natural Science Foundation of China (NO. 81460497), Jilin Province Health Science and Technology Ability Improvement Project (NO. 2021JC003) and Jilin Province Traditional Chinese Medicine Science and Technology Project (2024021).