# Thyroid Function in Patients with Type 2 Diabetes Mellitus and Diabetic Nephropathy: A Single Center Study

Authors: Wei Zhao; Xinyu Li; Xuhan Liu; Lu Lu; Zhengnan Gao
Journal: Journal of Thyroid Research
 (2018)

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## Abstract

Background. Diabetes mellitus is a common metabolic disease and the prevalence is increasing rapidly. Thyroid disorders including subclinical hypothyroidism (SCH) and low triiodothyronine (T3) syndrome are frequently observed in diabetic patients. We conducted a study to explore thyroid function in patients with type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN).Methods. We included 103 healthy volunteers, 100 T2DM patients without DN, and 139 with DN. Physical examinations including body mass index and blood pressure and laboratory measurements including renal function, thyroid function, and glycosylated hemoglobin were conducted.Results.Patients with DN had higher thyroid stimulating hormone (TSH) levels and lower free T3 (FT3) levels than those without DN (p < 0.01). The prevalence of SCH and low FT3 syndrome in patients with DN was 10.8% and 20.9%, respectively, higher than that of controls and patients without DN (p < 0.05). Through Pearson correlation or Spearman rank correlation analysis, in patients with DN, there were positive correlations in TSH with serum creatinine (r = 0.363,p = 0.013) and urinary albumin-to-creatinine ratio (r = 0.337,p = 0.004), and in FT3 with estimated glomerular filtration rate (eGFR) with statistical significance (r = 0.560,p < 0.001).Conclusions.High level of TSH and low level of FT3 were observed in T2DM patients with DN. Routine monitoring of thyroid function in patients with DN is necessary, and management of thyroid dysfunction may be a potential therapeutic strategy of DN.


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## Body

## 1. Introduction

Diabetes mellitus (DM) is a common metabolic disease characterized by hyperglycemia and metabolic disturbances of carbohydrates, proteins, and lipids principally caused by pancreaticβ-cell dysfunction, hyperglucagonemia, and increased renal glucose reabsorption [1, 2]. DM is rapidly becoming one of the major health problems worldwide. The estimated global prevalence of DM was 2.8% in 2000 and was predicted to increase to 4.4% in 2030 [3]. China is among the countries with the highest prevalence, with the estimated prevalence of 10.9% in adults [4]. Diabetic nephropathy (DN) is a chronic microvascular complication of diabetes and is one of the main causes of renal failure [5], which shortens lifespan and aggravates healthcare burdens. However, achieved effects on the prevalence and the prognosis of DN are not satisfactory [6]. Therefore, it is necessary to explore the underlying pathogenesis and potential management of DN.Thyroid hormones are essential for metabolism and energy homeostasis and participate in insulin action and glucose regulation [7–10]. Previous studies reported higher prevalence rates of thyroid disorders in diabetic patients compared with nondiabetic individuals, and overt hypothyroidism was frequently observed in type 2 diabetes mellitus (T2DM) [11, 12]. Moreover, subclinical hypothyroidism (SCH), a pathological status defined as an elevated serum thyroid stimulating hormone (TSH) value with normal concentrations of free thyroid hormones [13], is receiving increasing concerns in recent years. A meta-analysis reported that the pooled prevalence of SCH in T2DM patients was 10.2% and Chinese patients with the prevalence of 18.9% were more frequently affected compared with those from other included countries [14]. Meanwhile, high levels of TSH and low levels of free triiodothyronine (FT3) within the normal range were related to a higher risk of chronic kidney disease (CKD) [15]. Also, low level of serum FT3 was found to be independently associated with urinary protein in T2DM patients [16].In addition, genetic and environmental factors are related to the prevalence of diabetes and the effects of potential risks (such as thyroid dysfunction) on the processes of diabetic complications; although the mechanisms still remain unclear, the geographical variabilities in manifestations exist [14, 17]. In Taiwan, a cross-sectional study suggested that SCH was an independent risk (OR 3.15, 95% CI 1.48–6.69) of DN in patients with T2DM [18]. Another investigation in the south of China showed that patients with DN had lower FT3 levels than those without DN [16]. In the present study, we explored the relationship between levels of serum thyroid hormones and DN in the northeast of China, where both T2DM and thyroid disorders are common [19].


## 2. Patients and Methods

### 2.1. Patients

A total of 135 healthy volunteers aged 18-80 years (controls) participated in health examinations in the Medical Examination Center and 332 consecutive patients with the diagnosis of T2DM aged 18-80 years who were hospitalized in the Department of Endocrinology, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, China were included from January to July 2018. Participants with incomplete data, histories of thyroid diseases, nondiabetic renal disease, infection, acute stress state, pregnancy, malignancies, and who were taking thyroid hormones and antithyroid agents were excluded. Among the 467 participants, 342 individuals met the inclusion criteria.


### 2.2. Clinical Examination and Laboratory Measurements

Information including family history, habits of smoking and drinking, duration of diabetes, medical histories of microvascular and macrovascular complications, and medication was obtained through the form of the standard questionnaire. Anthropometric measurements and physical examinations were performed by two trained endocrinologists. Body mass index (BMI) was calculated as weight (kg) divided by squared height (m). Blood pressure (BP) was detected on the right arm in a sitting position after a 10-minute rest period, and the mean of two successive systolic and diastolic BP (SBP/DBP) measurements was recorded. Hypertension was defined as SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg, or with positive histories of hypertension.Blood samples were collected from participants at 5:00-6:00 am after 8 hours of overnight fast. Fasting plasma glucose (FPG), serum creatinine (SCr), blood urea nitrogen (BUN), serum total cholesterol (TC), serum triglyceride (TG), serum high-density lipoprotein cholesterol (HDL-C), and serum low-density lipoprotein cholesterol (LDL-C) were measured by routine laboratory methods (Siemens, ADVIA 2400, New York, US). Glycosylated hemoglobin (HbA1c) was determined by the high performance liquid chromatography method (TOSOH, HLC-723G8, Tokyo, Japan). Serum TSH, FT3, and FT4 were measured by chemiluminescence immunoassay (Siemens, ADVIA Centaur XP, New York, US). The reference ranges of TSH, FT3, and FT4 were 0.51-4.94 mIU/L, 3.5-6.5 pmol/L, and 11.5-22.7 pmol/L, respectively. Estimated glomerular filtration rate (eGFR) was calculated using the Modification of Diet in Renal Disease equation:(1)eGFRml/min/1.73m2=186×Scr88.4-1.154×age-0.203iffemale,×0.742Spot urinary samples of diabetic patients were collected at 7:00-8:00 am. Urinary albumin concentration was measured by nephelometry immunoassay (Beckmen Coulter, IMMAGE 800, California, US) and urinary creatinine concentration was measured by velocity method (Siemens, ADVIA 2400, New York, US). The average value of the urinary albumin-to-creatinine ratio (UACR) of three independent measurements was calculated. Microalbuminuria was defined as a UACR of 30-300 mg/g. Macroalbuminuria was defined as a UACR above 300 mg/g. DN was defined as the presence of microalbuminuria or macroalbuminuria.


### 2.3. Statistical Analysis

Continuous variables were described as mean ± SD for normally distributed data or median (inter quartile range) for nonnormally distributed data, and categorical variables were described as percentages. Comparisons of continuous data were performed via Student’st-test or one-way ANOVA for normally distributed variables, or Mann-Whitney rank sum test or Kruskal-Wallis one-way ANOVA for nonnormally distributed variables. And categorical data were compared via Pearson’s Chi-square test. The correlations between TSH, FT3, and FT4 levels and related renal indexes were determined through Pearson correlation or Spearman correlation analysis. All tests were two-tailed and p value of < 0.05 was defined as statistically significant. Statistics were analyzed using SPSS 24.0 software.


## 2.1. Patients

A total of 135 healthy volunteers aged 18-80 years (controls) participated in health examinations in the Medical Examination Center and 332 consecutive patients with the diagnosis of T2DM aged 18-80 years who were hospitalized in the Department of Endocrinology, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, China were included from January to July 2018. Participants with incomplete data, histories of thyroid diseases, nondiabetic renal disease, infection, acute stress state, pregnancy, malignancies, and who were taking thyroid hormones and antithyroid agents were excluded. Among the 467 participants, 342 individuals met the inclusion criteria.


## 2.2. Clinical Examination and Laboratory Measurements

Information including family history, habits of smoking and drinking, duration of diabetes, medical histories of microvascular and macrovascular complications, and medication was obtained through the form of the standard questionnaire. Anthropometric measurements and physical examinations were performed by two trained endocrinologists. Body mass index (BMI) was calculated as weight (kg) divided by squared height (m). Blood pressure (BP) was detected on the right arm in a sitting position after a 10-minute rest period, and the mean of two successive systolic and diastolic BP (SBP/DBP) measurements was recorded. Hypertension was defined as SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg, or with positive histories of hypertension.Blood samples were collected from participants at 5:00-6:00 am after 8 hours of overnight fast. Fasting plasma glucose (FPG), serum creatinine (SCr), blood urea nitrogen (BUN), serum total cholesterol (TC), serum triglyceride (TG), serum high-density lipoprotein cholesterol (HDL-C), and serum low-density lipoprotein cholesterol (LDL-C) were measured by routine laboratory methods (Siemens, ADVIA 2400, New York, US). Glycosylated hemoglobin (HbA1c) was determined by the high performance liquid chromatography method (TOSOH, HLC-723G8, Tokyo, Japan). Serum TSH, FT3, and FT4 were measured by chemiluminescence immunoassay (Siemens, ADVIA Centaur XP, New York, US). The reference ranges of TSH, FT3, and FT4 were 0.51-4.94 mIU/L, 3.5-6.5 pmol/L, and 11.5-22.7 pmol/L, respectively. Estimated glomerular filtration rate (eGFR) was calculated using the Modification of Diet in Renal Disease equation:(1)eGFRml/min/1.73m2=186×Scr88.4-1.154×age-0.203iffemale,×0.742Spot urinary samples of diabetic patients were collected at 7:00-8:00 am. Urinary albumin concentration was measured by nephelometry immunoassay (Beckmen Coulter, IMMAGE 800, California, US) and urinary creatinine concentration was measured by velocity method (Siemens, ADVIA 2400, New York, US). The average value of the urinary albumin-to-creatinine ratio (UACR) of three independent measurements was calculated. Microalbuminuria was defined as a UACR of 30-300 mg/g. Macroalbuminuria was defined as a UACR above 300 mg/g. DN was defined as the presence of microalbuminuria or macroalbuminuria.


## 2.3. Statistical Analysis

Continuous variables were described as mean ± SD for normally distributed data or median (inter quartile range) for nonnormally distributed data, and categorical variables were described as percentages. Comparisons of continuous data were performed via Student’st-test or one-way ANOVA for normally distributed variables, or Mann-Whitney rank sum test or Kruskal-Wallis one-way ANOVA for nonnormally distributed variables. And categorical data were compared via Pearson’s Chi-square test. The correlations between TSH, FT3, and FT4 levels and related renal indexes were determined through Pearson correlation or Spearman correlation analysis. All tests were two-tailed and p value of < 0.05 was defined as statistically significant. Statistics were analyzed using SPSS 24.0 software.


## 3. Results

### 3.1. Clinical Characteristics of the Patients

Among 342 individuals recruited in this study, 103 (30.1%) were healthy volunteers, 100 (29.2%) were T2DM patients without DN, and 139 (40.6%) were diagnosed with DN. The comparisons of the clinical characteristics among controls and patients without and with DN are demonstrated in Table1. No difference was found in gender or age among three groups (p = 0.601 andp = 0.211, respectively). Patients with DN experienced longer diabetic duration than those without DN (14.8±6.7 versus 7.5±5.3 years,p< 0.01). Both groups of patients without and with DN exhibited higher BMI, hip circumstance, HbA1c, and TG and lower HDL-C concentrations compared with controls (p < 0.01). Higher SCr, BUN, UACR, and TC levels and lower eGFR were found in patients with DN than those without DN (p < 0.05). Moreover, patients with DN showed significantly higher TSH and lower FT3 levels than those without DN (p < 0.01). FT4 concentrations demonstrated a descending trend among three groups while it did not reach statistical significance (p = 0.125).Table 1
Comparisons of clinical characteristics between controls, patients without DN, and patients with DN.
Controls (n = 103) Patients without DN (n = 100) Patients with DN (n = 139) pvalue Gender (male/female) 55/58 54/46 76/63 0.601 Age (years) 56.8±12.5 58.5±8.9 59.1±8.9 0.211 Diabetic duration (years) - 7.5±5.3 14.8±6.7d < 0.001 Hypertension (%) 41.7 47.0 70.5 b d 0.001 Smoking history (%) 31.1 36.0 43.2 0.148 Drinking history (%) 43.7 48.0 51.8 0.458 BMI (kg/m2) 23.4±2.9 26.6±4.0b 26.1±4.1b < 0.001 Waist circumstance (cm) 96.3±5.6 95. 8±9.9 98.9±10.0 0.079 Hip circumstance (cm) 85.0±8.6 101.1±9.9b 98.5±10.2ad < 0.001 HbA1c (%) 5.3±0.5 8.1±2.1b 8.9±2.9b < 0.001 SCr (μmol/L) 67.5±17.6 57.0±12.2 228.0±113.9ad < 0.001 eGFR (mL/min⋅1.73m2) 103.0 (92.2-116.5) 123.5(103.5-134.5)b 86.3(14.6-117.6)bd < 0.001 BUN (mmol/L) 5.3±1.3 5.5±1.4 11.9±9.1bd < 0.001 UACR (mg/g) - 11.2 (6.9-16.0) 524.8(92.8-3694.1)d < 0.001 TC (mmol/L) 5.0±0.9 4.9±1.0 5.5±1.6ac 0.010 TG (mmol/L) 1.4 (0.9-1.9) 1.7(1.2-2.5)b 1.8(1.3-2.9)b < 0.001 HDL-C (mmol/L) 1.4±0.4 1.1±0.2b 1.1±0.3b < 0.001 LDL-C (mmol/L) 3.1±0.8 3.1±1.0 3.3±1.3 0.370 TSH (mIU/L) 1.9 (1.3-2.6) 2.0 (1.2-3.0) 2. 7(1.8-3.7)bd < 0.001 FT3 (pmol/L) 5.2±0.5 4.8±0.7a 4.3±0.9bd < 0.001 FT4 (pmol/L) 15.4±1.8 15.2±2.1 14.9±2.2 0.125 DN, diabetic nephropathy; BMI, body mass index; HbA1c, glycosylated hemoglobin; SCr, serum creatinine; eGFR, estimated glomerular filtration rate; BUN, blood urea nitrogen; UACR, urinary albumin-to-creatinine ratio; TC, total cholesterol; TG, serum triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.pa < 0.05, pb < 0.01 versus controls; pc < 0.05, pd < 0.01 versus patients without DN.


### 3.2. Prevalence of SCH and Low T3 Syndrome in T2DM

As shown in Table2, the prevalence of SCH was 10.8% in patients with DN, higher than the participants of controls (3.9%) and those without DN (2.0%) (p < 0.05). Meanwhile, patients with DN had a significantly higher prevalence of low T3 syndrome (20.9%) compared with participants in the control group (0%) and patients without DN (3.0%) (p < 0.01).Table 2
Prevalence of SCH and low T3 syndrome.
Controls (n = 103) Patients without DN (n = 100) Patients with DN (n = 139) PValue SCH 4 (3.9%) 2 (2.0%) 1510.8%ac < 0.001 Low T3 Syndrome 0 (0%) 3 (3.0%) 2920.9%bd < 0.001 SCH, subclinical hypothyroidism.pa < 0.05, pb < 0.01 versus controls; pc < 0.05, pd < 0.01 versus patients without DN.


### 3.3. Correlations between Thyroid Function and Related Renal Indexes

As exhibited in Table3, among patients without DN, a positive correlation was found in FT3 with SCr (r = 0.256,p = 0.010) and a negative correlation with UACR with statistical significance (r = -0.251,p = 0.012). No significant correlations were found between TSH or FT4 with these renal indexes.Table 3
Correlations between thyroid function and related renal indexes in T2DM patients without and with DN.
Parameters correlated T2DM patients without DN T2DM patients with DN r value p value r value p value TSH with (i) SCr -0.187 0.063 0.363 0.013 (ii) eGFR -0.024 0.815 -0.356 < 0.001 (iii) UACR 0.017 0.863 0.337 0.004  FT3 with (i) SCr 0.256 0.010 -0.483 < 0.001 (ii) eGFR 0.034 0.736 0.560 < 0.001 (iii) UACR -0.251 0.012 -0.522 < 0.001  FT4 with (i) SCr 0.155 0.125 -0.407 < 0.001 (ii) eGFR 0.020 0.846 0.441 < 0.001 (iii) UACR 0.012 0.909 -0.356 < 0.001 SCr, serum creatinine; eGFR, estimated glomerular filtration rate; UACR, urinary albumin-to-creatinine ratio.Among patients with DN, there were positive correlations in TSH with SCr (r = 0.363,p = 0.013) and UACR (r = 0.337,p = 0.004), and FT3 as well as FT4 with eGFR with statistical significance (r = 0.560,p < 0.001 andr = 0.441,p < 0.001, respectively). TSH was negatively correlated with eGFR (r = -0.356,p < 0.001), while FT3 and FT4 were negatively correlated with SCr (r = -0.483,p< 0.001 andr = -0.407,p < 0.001, respectively) and UACR significantly (r = -0.522,p< 0.001 andr = -0.356,p < 0.001, respectively).


## 3.1. Clinical Characteristics of the Patients

Among 342 individuals recruited in this study, 103 (30.1%) were healthy volunteers, 100 (29.2%) were T2DM patients without DN, and 139 (40.6%) were diagnosed with DN. The comparisons of the clinical characteristics among controls and patients without and with DN are demonstrated in Table1. No difference was found in gender or age among three groups (p = 0.601 andp = 0.211, respectively). Patients with DN experienced longer diabetic duration than those without DN (14.8±6.7 versus 7.5±5.3 years,p< 0.01). Both groups of patients without and with DN exhibited higher BMI, hip circumstance, HbA1c, and TG and lower HDL-C concentrations compared with controls (p < 0.01). Higher SCr, BUN, UACR, and TC levels and lower eGFR were found in patients with DN than those without DN (p < 0.05). Moreover, patients with DN showed significantly higher TSH and lower FT3 levels than those without DN (p < 0.01). FT4 concentrations demonstrated a descending trend among three groups while it did not reach statistical significance (p = 0.125).Table 1
Comparisons of clinical characteristics between controls, patients without DN, and patients with DN.
Controls (n = 103) Patients without DN (n = 100) Patients with DN (n = 139) pvalue Gender (male/female) 55/58 54/46 76/63 0.601 Age (years) 56.8±12.5 58.5±8.9 59.1±8.9 0.211 Diabetic duration (years) - 7.5±5.3 14.8±6.7d < 0.001 Hypertension (%) 41.7 47.0 70.5 b d 0.001 Smoking history (%) 31.1 36.0 43.2 0.148 Drinking history (%) 43.7 48.0 51.8 0.458 BMI (kg/m2) 23.4±2.9 26.6±4.0b 26.1±4.1b < 0.001 Waist circumstance (cm) 96.3±5.6 95. 8±9.9 98.9±10.0 0.079 Hip circumstance (cm) 85.0±8.6 101.1±9.9b 98.5±10.2ad < 0.001 HbA1c (%) 5.3±0.5 8.1±2.1b 8.9±2.9b < 0.001 SCr (μmol/L) 67.5±17.6 57.0±12.2 228.0±113.9ad < 0.001 eGFR (mL/min⋅1.73m2) 103.0 (92.2-116.5) 123.5(103.5-134.5)b 86.3(14.6-117.6)bd < 0.001 BUN (mmol/L) 5.3±1.3 5.5±1.4 11.9±9.1bd < 0.001 UACR (mg/g) - 11.2 (6.9-16.0) 524.8(92.8-3694.1)d < 0.001 TC (mmol/L) 5.0±0.9 4.9±1.0 5.5±1.6ac 0.010 TG (mmol/L) 1.4 (0.9-1.9) 1.7(1.2-2.5)b 1.8(1.3-2.9)b < 0.001 HDL-C (mmol/L) 1.4±0.4 1.1±0.2b 1.1±0.3b < 0.001 LDL-C (mmol/L) 3.1±0.8 3.1±1.0 3.3±1.3 0.370 TSH (mIU/L) 1.9 (1.3-2.6) 2.0 (1.2-3.0) 2. 7(1.8-3.7)bd < 0.001 FT3 (pmol/L) 5.2±0.5 4.8±0.7a 4.3±0.9bd < 0.001 FT4 (pmol/L) 15.4±1.8 15.2±2.1 14.9±2.2 0.125 DN, diabetic nephropathy; BMI, body mass index; HbA1c, glycosylated hemoglobin; SCr, serum creatinine; eGFR, estimated glomerular filtration rate; BUN, blood urea nitrogen; UACR, urinary albumin-to-creatinine ratio; TC, total cholesterol; TG, serum triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.pa < 0.05, pb < 0.01 versus controls; pc < 0.05, pd < 0.01 versus patients without DN.


## 3.2. Prevalence of SCH and Low T3 Syndrome in T2DM

As shown in Table2, the prevalence of SCH was 10.8% in patients with DN, higher than the participants of controls (3.9%) and those without DN (2.0%) (p < 0.05). Meanwhile, patients with DN had a significantly higher prevalence of low T3 syndrome (20.9%) compared with participants in the control group (0%) and patients without DN (3.0%) (p < 0.01).Table 2
Prevalence of SCH and low T3 syndrome.
Controls (n = 103) Patients without DN (n = 100) Patients with DN (n = 139) PValue SCH 4 (3.9%) 2 (2.0%) 1510.8%ac < 0.001 Low T3 Syndrome 0 (0%) 3 (3.0%) 2920.9%bd < 0.001 SCH, subclinical hypothyroidism.pa < 0.05, pb < 0.01 versus controls; pc < 0.05, pd < 0.01 versus patients without DN.


## 3.3. Correlations between Thyroid Function and Related Renal Indexes

As exhibited in Table3, among patients without DN, a positive correlation was found in FT3 with SCr (r = 0.256,p = 0.010) and a negative correlation with UACR with statistical significance (r = -0.251,p = 0.012). No significant correlations were found between TSH or FT4 with these renal indexes.Table 3
Correlations between thyroid function and related renal indexes in T2DM patients without and with DN.
Parameters correlated T2DM patients without DN T2DM patients with DN r value p value r value p value TSH with (i) SCr -0.187 0.063 0.363 0.013 (ii) eGFR -0.024 0.815 -0.356 < 0.001 (iii) UACR 0.017 0.863 0.337 0.004  FT3 with (i) SCr 0.256 0.010 -0.483 < 0.001 (ii) eGFR 0.034 0.736 0.560 < 0.001 (iii) UACR -0.251 0.012 -0.522 < 0.001  FT4 with (i) SCr 0.155 0.125 -0.407 < 0.001 (ii) eGFR 0.020 0.846 0.441 < 0.001 (iii) UACR 0.012 0.909 -0.356 < 0.001 SCr, serum creatinine; eGFR, estimated glomerular filtration rate; UACR, urinary albumin-to-creatinine ratio.Among patients with DN, there were positive correlations in TSH with SCr (r = 0.363,p = 0.013) and UACR (r = 0.337,p = 0.004), and FT3 as well as FT4 with eGFR with statistical significance (r = 0.560,p < 0.001 andr = 0.441,p < 0.001, respectively). TSH was negatively correlated with eGFR (r = -0.356,p < 0.001), while FT3 and FT4 were negatively correlated with SCr (r = -0.483,p< 0.001 andr = -0.407,p < 0.001, respectively) and UACR significantly (r = -0.522,p< 0.001 andr = -0.356,p < 0.001, respectively).


## 4. Discussion

Potential mechanisms of metabolic diseases have received increasing attention [20–23]. In this study, we included healthy individuals and patients of T2DM and exhibited evaluated level of TSH and decreased FT3 in T2DM patients with DN in a northeastern Chinese city for the first time to explore potential mechanism and management of DN. Also we estimated the prevalence of SCH and low T3 syndrome in the healthy group and T2DM patients without and with DN. We found that T2DM patients with DN are more likely to have SCH (prevalence of 10.8%) compared with healthy individuals (3.9%) and those without DN (2.0%), and the prevalence of low T3 syndrome demonstrated an increasing trend among groups of control (0%) and patients without DN (3%) and with DN (20.9%) with statistical significance.There are complex interactions between thyroid function and kidney disease. Thyroid hormones are involved in the regulation of renal hemodynamics and glomerular filtration and influence the levels of SCr and glomerular filtration rate (GFR) via the effects on cardiac output, renal vascular function, and the renin-angiotensin-aldosterone system [24–28]. On the other hand, CKD affects thyroid hormonal synthesis through the hypothalamus-pituitary-thyroid axis and peripheral metabolism [29, 30]. According to previous studies, thyroid dysfunction was prevalent in CKD patients, including SCH and low T3 syndrome [31–33].As DN has become the main cause of kidney failure and is significantly associated with increased morbidity and mortality [34, 35], the associations between thyroid dysfunction and T2DM as well as DN are drawing increasing concerns. A meta-analysis conducted by Han et al. [14] reported that the adjusted pooled prevalence of SCH in T2DM patients was 10.2% (95% CI 4.7–15.7%). Our finding indicated a prevalence rate of 7.1% of SCH in patients with T2DM, lower than the pooled prevalence of China (12.6%) and Europe (9.1%) in the above meta-analysis, but higher than that of Africa (4.7%) [14, 36, 37]. Reasons may be the differences in study design and characteristics of the participants, for instance, sex and age composition. Our study had a respectively higher proportion of male and younger patients compared with those included studies. In previous studies, it was observed that female and elder populations were more frequently suffered from SCH [14, 38]. Among DN patients, in a study on Japanese individuals the prevalence of SCH was 20.7% [39], which was higher than our result. Apart from the influence factors of study design, differences in race, environment, and life style may also explain the discrepancy. Meanwhile, the Japanese study also suggested an independent association between SCH and DN, and in the SCH group, eGFR was lower compared with the euthyroid group. Moreover, in the aforementioned Chinese report, subjects with SCH demonstrated significantly higher levels of UACR and SCr, and T2DM patients with SCH were associated with a high risk of DN (OR 3.15, 95% CI 1.48–6.69) [18]. These were in line with our result that subjects in DN group showed positive correlations in TSH with UACR (r = 0.337,p = 0.004) and SCr (r = 0.363,p = 0.013) and a negative correlation in TSH with eGFR (r= -0.356,p < 0.001). Conversely, in a study performed in Korea, investigators failed to find any associations between SCH and DN [40]. It should be noted that patients with thyroid disorders were not excluded, which might influence the results. In addition, the durations of diabetes in the Korean study were 6.9 ± 6.6 years in euthyroid patients and 8.9 ± 7.2 years in those who simultaneously had SCH and were shorter than those in our study (7.5 ± 5.3 years without DN and 14.8 ± 6.7 years with DN).Furthermore, our study exhibited that levels of FT3 in T2DM (4.8 ± 0.7 pmol/L in patients without DN and 4.3 ± 0.9 pmol/L with DN) were lower than those of control group (5.2 ± 0.5 pmol/L), and the difference reached statistical significance (p < 0.01). In addition, the positive correlation in FT3 with eGFR and negative correlations with SCr and UACR implied the relationship between low FT3 levels and renal dysfunction. These data agree with the significant lower concentrations of FT3 in T2DM than the controls reported by Islam S et al. [41]. And according to analytic data from Wu et al. [16], subjects with DN had lower FT3 levels than those without DN with statistical significance (p < 0.01). Meanwhile, FT3 levels positively correlated with eGRF (p = 0.03) and negatively correlated with UACR (p < 0.01). After adjustment, results of multiple linear regression analysis implied an independent association between FT3 and UACR (β = −0.18, t = -3.70,p < 0.01).The association between changes of serum thyroid hormones with DN may be explained by the following mechanisms. For SCH in DN, first, SCH is involved in the impairment of vascular function, which leads to renal vasoconstriction and peripheral circulation dysfunction. Functions of glomerular filtration and tubular thickening are damaged, and decreased GFR and the presence of urinary protein are observed [42, 43]. Second, in status of SCH the impairment of nitric oxide availability results in the damage of endothelial dilatation function, which is associated with the pathogenesis of DN [44, 45]. Third, thyroid hormone deficiencies in SCH lead to dyslipidemia and atherosclerosis, which indirectly harm renal function [46, 47]. For low T3 syndrome in DN, in diabetic patients there are changes in the regulation of hypothalamus-pituitary-thyroid axis. As central secretion of TRH and TSH is reduced and the conversion of T4 into T3 is suppressed in peripheral tissues, the levels of T3 decrease [48]. In addition, it was observed that the aforementioned functional alterations in vascular endothelium and dyslipidemia could be reversed through levothyroxine supplementation [49]. Meanwhile, as the majority of circulating thyroid hormones bound to protein, severe protein losses and hypoproteinemia in DN may lead to thyroid hormone depletion, commonly manifest low T3 levels [50].There are several limitations in our study. First, as this is a cross-sectional study, we could not infer causal relationships between thyroid function and DN. Prospective studies are expected to confirm the associations between SCH as well as low T3 syndrome and DN in T2DM patients. Second, subjects included in this study were consecutive healthy volunteers and T2DM patients in a single hospital. Thus, the results may not be representative of the T2DM population in the northeast of China. Third, thyroid function, renal function, and blood fats tests were only measured once. For this reason, the results should not be overestimated in prevalence and the correlations.Despite the limitations, this study suggested a potential relationship between thyroid dysfunction and DN in T2DM, thus implied the significance of routine monitoring of thyroid function, and provided a new view in the treatment of DN. American Association of Clinical Endocrinologists (AACE) and the American Thyroid Association (ATA) recommend regular monitoring of thyroid function in patients with type 1 diabetes mellitus (T1DM) [51]. According to the guidelines of European Thyroid Association, monitoring of thyroid function should be performed manually in T1DM [52]. However, currently relevant guidelines in patients with T2DM are lacking. Investigations are needed in the future to provide more evidence on the screening strategies of thyroid dysfunction in T2DM care. Furthermore, in the aspect of therapeutics, previous studies observed that levothyroxine therapy in DM improved thyroid function and renal indexes, while the mechanisms were indefinite [53, 54]. A recently published randomized and placebo-controlled study showed decreased levels of oxidative stress and injury of the kidney in early-staged DN patients with levothyroxine therapy [55]. However, the sample sizes were relatively small and the therapeutic durations were short in the above studies. Therefore, large-sampled interventional trials are expected in the future to explore the mechanisms and the effects of new therapies in DN patients.


## 5. Conclusion

Our study demonstrates high levels of TSH and low levels of FT3 in T2DM patients with DN. Besides, in DN patients TSH was positively correlated with SCr and UACR, and the correlations between FT3 with SCr and UACR were negative. The results may improve our understanding about the relationship between thyroid function and DN and thus may imply the necessity of regular monitoring of thyroid function in DN patients. Meanwhile, these results may provide evidence for new therapeutic strategies on DN in the future.



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