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Association between Thyroid Hormone Levels and Diabetic Kidney Disease in Euthyroid Patients with Type 2 Diabetes

  • Scientific Reportsvolume 8, Article number: 4728 (2018)
  • doi:10.1038/s41598-018-22904-7
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Abstract

The association between normal thyroid function and diabetic kidney disease (DKD) has gained increasing attention. The present study evaluated the relationship between normal thyroid hormone levels and DKD in type 2 diabetes mellitus (T2DM) patients. A total of 862 type 2 diabetes patients were enrolled in this cross-sectional study in Xian, Shaanxi Province, China. The subjects were evaluated for anthropometric measurements, thyroid function and DKD. Of 862 patients, 246 (28.5%) suffered from DKD, and the prevalence of DKD did not differ between men and women. The prevalence of DKD showed a significantly decreasing trend across the quartiles based on free triiodothyronine (FT3) levels (41.1%, 30.6%, 23.8%, and 18.9%, P < 0.001). In comparison with all participants categorized in the first FT3 quartile group (FT3-Q1) (<4.380), the adjusted odds ratio of DKD in the second FT3 quartile group (FT3-Q2), the third FT3 quartile group (FT3-Q3), and the fourth FT3 quartile group (FT3-Q4) were 0.655(95%CI: 0.406–1.057), 0.493(95%CI: 0.299–0.813), 0.406(0.237–0.697) (P < 0.05). Also, similar results were observed in men. Conversely, none of the FT3 groups was associated with DKD in women. The present study showed that FT3 within normal range was negatively correlated with DKD in T2DM patients.

Introduction

The prevalence of diabetes is rising rapidly worldwide, especially in developing countries. Diabetes mellitus is being one of the greatest health threats in the 21st century. Diabetic kidney disease (DKD) is one of the most common microvascular complications of diabetes mellitus and the leading cause of end-stage renal disease (ESRD) worldwide. About 20%–40% of patients with diabetes progress to DKD, and 40% also progress to ESRD1. Diabetic patients have a high prevalence of thyroid dysfunction as compared to healthy population; hypothyroidism is the most common disorder2. Several clinical studies showed that thyroid dysfunction was related to renal disease3,4. In addition, previous studies focused on the relationship between subclinical hypothyroidism (SCH) and DKD4,5,6, although the results were not consistent.

Rodacki et al.7 found that not only SCH increased the prevalence of DKD but also the high normal levels of thyroid stimulating hormone (TSH) increased the prevalence of DKD as compared to low normal levels in type 1 diabetes (T1DM) patients. Moreover, studies in patients with euthyroid general population showed that high normal levels of TSH and low levels of free triiodothyronine (FT3) were associated with chronic kidney disease (CKD) and albuminuria8,9,10,11. Therefore, these results indicated that the relationship between thyroid function and DKD had been extended to the areas of normal thyroid function. However, it is unclear whether the normal thyroid hormone levels and DKD are correlated in type 2 diabetes (T2DM) patients.

The present cross-sectional study investigated whether serum thyroid hormone concentrations within normal range, as well as thyroid peroxidase antibody (TPO-Ab) levels, are related to the prevalence of DKD among T2DM inpatients.

Methods

Subjects

The study was conducted at the First Affiliated Hospital of Fourth Military Medical University in Xian, Shaanxi Province, China from June 2014 to March 2016. The inclusion criteria were as follows: individuals with previously diagnosed T2DM and all patients were ≥18 years of age. The American Diabetes Association (ADA) criteria 201312 were used for the diagnosis of diabetes mellitus. T2DM was defined as an fasting plasma glucose (FPG) level ≥126 mg/dL (7.0 mmol/L), or oral glucose tolerance test ≥200 mg/dL (11.1 mmol/L), or HbA1c ≥48 mmol/mol (6.5%), or a history of T2DM based on the ADA 2013 criteria12. Duration of diabetes is defined in this presentation as time of diagnosis to entry into the trial13.

The following exclusion criteria were considered: (1) other types of diabetes mellitus; (2) acute intercurrent illness; (3) severe cardiac disease and other serious diseases; (4) urinary tract infections, hematuria (including menstrual period), and non-diabetic kidney disease; (5) chronic diseases that can affect the metabolic function, including hypothalamic disease, adrenal disease, history of thyroid disease, or any thyroid medication (levothyroxine or anti-thyroid drugs); (6) malignant tumors. Initially, 2689 inpatients were enrolled. After excluding the subjects that did not fulfill the inclusion criteria and those with incomplete laboratory results, a total of 862 euthyroid patients were included in the analysis. The study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Fourth Military Medical University and conducted in accordance with the Declaration of Helsinki. All participants provided written informed consent.


Data collection

Patient data, including demographic characteristics, lifestyle habits (smoking and drinking), medical history, medication of diabetes, duration of diabetes, thyroid disease, and all results of tests and examinations were obtained from the discharged medical records. Body mass index (BMI) was calculated by the formula: body weight (kg)/height (m), and waist-hip ratio (WHtR) was calculated by waist (cm)/hip (cm). The blood pressure was measured with a cuff in the sitting position after a rest period of more than 10 min. Hypertension was defined by a systolic blood pressure (SBP) ≥140 mmHg or a diastolic blood pressure (DBP) ≥90 mmHg or both, or if the patient had already administered anti-hypertensive drugs. The subjects were requested to fast for a minimum of 8–12 h and avoid a high-fat diet or alcohol consumption for at least 24 h.

Also, the results were obtained for the following variables: FPG, serum creatinine (SCr), total serum cholesterol (TC), serum triglyceride (TG), serum high-density lipoprotein cholesterol (HDL-C), serum low-density lipoprotein cholesterol (LDL-C), and HbA1c. The thyroid function was confirmed by chemiluminescence immunoassay (ADVIA Centaur Siemens New York, USA). The measuring reference ranges of serum TSH, FT3, free thyroxine (FT4), and TPO-Ab were 0.35–5.5 μIU/mL, 3.5–6.5 pmol/L, 11.5–22.7 pmol/L, and 0–78 U/mL, respectively. As described in a previous publication14, the subjects were also divided into 4 groups according to the quartiles of FT3 and FT4 in the present study. Meanwhile, the National Academy of Clinical Biochemistry (NACB) recommended lowering the upper reference limit of TSH to 2.5 uIU/mL based on a large-scale epidemiological survey in 2003, which stated that >95% of the normal individuals presented TSH levels <2.5 uIU/mL, and those with high TSH levels were likely to experience various thyroid disorders15. In addition, several similar investigations7,16,17 divided the participants within the normal range of TSH into TSH <2.5μIU/mL and TSH ≥2.5 μIU/mL groups. Thus, we divided the subjects into 2 groups according to TSH <2.5μIU/mL and TSH ≥2.5 μIU/mL. To our knowledge, there is currently no study on the relationship between TPO-Ab and DKD. Moreover, as described in a previous investigation18, the subjects were divided into 2 groups according to negative of TPO-Ab and positive of TPO-Ab. The urine specimens were collected using the first urine sample in the morning. Before the examination, the patients were instructed to avoid exercise for 1 h. The urinary albumin-to-creatinine ratio (UACR), <3 mg/mmol is defined as normal19.


Assessment of eGFR, SCH, and DKD

Estimated glomerular filtration rate (eGFR) was calculated using a modified MDRD equation in the Chinese population20 as follows: eGFR = 175 × SCr 1.234 × age 0.179 ( × 0.79 females ) . SCH was defined as normal FT4 and FT3 levels and an elevated TSH level21. According to the 2012 Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines22 and Diabetic Kidney Disease Consensus in China-201419, DKD referred to CKD caused by diabetes that was defined as glomerular filtration rate(GFR) <60 mL/(min × 1.73 m2) or UACR >3 mg/mmol for more than 3 months, excluding non-DKD.


Statistical analysis

Statistical analyses were performed using SPSS 16.0 statistics software (SPSS Inc., Chicago, IL, USA). Continuous variables were expressed as mean ± standard deviation or median (interquartile range), and categorical variables were expressed as percentages. Continuous data were compared using Student’s t-test or Mann–Whitney U test, and categorical data were compared by chi-square test. The multiple logistic regression models were used to examine the relationships between TSH, FT3, FT4, and TPO-Ab and the prevalence of DKD with adjustment. Lots of similar investigations16,23,24,25,26 selected age, gender, BMI, smoking status, duration of T2DM, HbA1c,hypertension, TC, TG and angiotensin Receptor Blocker (ARB) or angiotensin converting enzyme inhibitors (ACEI) medication as the covariates. These studies16,23,24,25,26,27 showed that the above covariates do have a substantial impact on the dependent variable. In the present study, compared to the non-DKD patients, those with DKD had higher insulin medication rate (P < 0.05). In addition, metformin is known to cause a decrease in the TSH levels in T2DM patients28,29. Thus, the above covariates were adjusted in the logistic regression analysis. Odds ratios (ORs) with their corresponding 95% CI were calculated. All statistical assessments were two-sided, and a P-value < 0.05 was considered statistically significant.

Results

Characteristics of the study population

The general characteristics are shown in Tables 1 and 2. A total of 862 subjects were included in this study and 73.8% of the participants were men (n = 636). The mean age was 53.70 ± 11.56 years, and BMI was 25.92 ± 3.35 kg/m2. Among 862 patients, 246 (28.5%) were diagnosed with DKD. No significant differences were observed between non-DKD and DKD groups with respect to gender, BMI, TC, LDL-C, and HDL-C. Compared to the non-DKD patients, those with DKD were older with a prolonged duration of diabetes, higher prevalence of hypertension, higher ARB or ACEI medication, higher use of insulin, higher WHtR, SBP, DBP, HbA1c, FPG, TG and lower Hemoglobin (HGB) (all P < 0.05). Moreover, the differences in smoking and drinking status were significantly different among the groups (P = 0.002, P < 0.001, respectively). Subjects with DKD presented a significantly high UACR, uric acid (UA), SCr, and Cystatin C (Cysc) and low eGFR and FT3 (P < 0.05). However, the TSH levels (P = 0.386), FT4 levels (P = 0.302), and the rate of TPO-Ab positive (P = 0.781) were not significantly different between the DKD and non-DKD groups.

Table 1 Comparison of clinical characteristics between the non-DKD and DKD groups
Table 2 Comparison of clinical characteristics between men and women groups.

The prevalence of DKD did not differ between men and women (27.4% versus 31.9%, P > 0.05). Men were prone to excessive smoking and drinking, higher BMI, WHtR, DBP, HGB, UA, SCr, eGFR, and UACR, lower age, duration of T2DM, TC, and HDL-C (P < 0.05). Moreover, men used insulin to a lower extent than women (P = 0.001). Furthermore, men yielded significantly lower TSH levels and positive rate of TPO-Ab than women (P < 0.001). The former also showed higher FT3 levels than the latter (P < 0.001). However, the rest of the parameters were not statistically significant (Table 2).

Association of thyroid hormone levels and TPO-Ab with the prevalence of DKD

In order to explore the association of thyroid function with DKD, we divided the patients into four groups according to the quartiles of FT3 (<4.38, 4.38–4.73, 4.73–5.12 and ≥5.12pmol/L) and FT4 (<14.84, 14.84–16.13, 16.13–17.66 and ≥17.66 pmol/L) and divided two groups based on TSH (<2.5 and ≥2.50 mIU/L) and TPO-Ab levels (<78 U/mL, ≥78U/ml), respectively. The prevalence of DKD showed a significantly decreasing trend across the quartiles based on the FT3 levels (41.1%, 30.6%, 23.8 and 18.9%, p < 0.001 for the trend). The first FT3 quartile group (FT3-Q1) showed a significantly higher prevalence of DKD than the second FT3 quartile group (FT3-Q2), the third FT3 quartile group (FT3-Q3), and the fourth FT3 quartile group (FT3-Q4) (P = 0.027, P < 0.001 and P < 0.001; Fig. 1) (Fig. 1). The prevalence of DKD did not differ significantly among FT4, TSH, and TPO-Ab groups (Figs 1 and 2).

Figure 1
Figure 1

Prevalence of DKD among quartiles based on FT3 and FT4 (*p < 0.05, ***p < 0.001) Q1: the first FT3 (FT4) quartile group, Q2: the second FT3 (FT4) quartile group, Q3: the third FT3 (FT4) quartile group, Q4: the fourth FT3 (FT4) quartile group.

Figure 2
Figure 2

Prevalence of DKD among groups based on TSH levels and TPO-Ab. TSH1: <2.5 μIU/mL, TSH2 ≥2.5 μIU/mL, TPO-Ab1 < 78 U/mL, TPO-Ab2 ≥ 78 U/ml).

Relationship of thyroid hormone levels and TPO-Ab with the prevalence of DKD

The crude and adjusted relationships between FT3, FT4, TSH, TPO-Ab, and the prevalence of DKD in total population, women, and men are indicated in Tables 3, 4, and 5, respectively. In comparison to all participants categorized in FT3-Q1 (<4.380) (Table 2), the crude ORs for DKD of all participants in FT3-Q2, FT3-Q3, and FT3-Q4 (4.380–4.730, 4.730–5.120, ≥5.120)were 0.632 (95%CI: 0.425–0.939), 0.447 (95%CI: 0.295–0.680), 0.333 (95%CI: 0.215–0.516) (P = 0.023, P < 0.001, P < 0.001) respectively. After an adjustment of the potential factors, including age, gender, duration of T2DM, BMI, smoking, hypertension, ARB/ACEI medication, insulin medication, metformin medication, HbA1c, TG, and TC, the ORs for DKD in FT3-Q2, FT3-Q3, and FT3-Q4 were 0.605 (95%CI: (0.382–0.957), 0.516 (95%CI: 0.317–0.838), 0.471 (95%CI: 0.280–0.792) (P = 0.032, P = 0.008, P = 0.005). However, none of the ORs were statistically significant with respect to the TSH, FT4, and TPO-Ab levels.

Table 3 Relationship between thyroid hormone levels and DKD in total population.
Table 4 Relationship between thyroid hormone levels and DKD in women.
Table 5 Relationship between thyroid hormone levels and DKD in men

In women, Table 4 showed that in the unadjusted model, compared to the FT3-Q1 (<4.15) (Table 3), the crude OR for DKD in FT3-Q4 (≥4.80) was 0.436 (0.197–0.967) (P = 0.041). However, after further adjustment of the potentially confounding factors, none of the FT3 quartiles was associated with DKD. In men, compared to the FT3-Q1 (<4.38) (Table 5), the crude ORs for DKD in FT3-Q2, FT3-Q3, and FT3-Q4 (4.38–4.69, 4.69–5.10, ≥ 5.10) were significantly different [0.577(0.362–0.920), 0.396(0.243–0.645), 0.273(0.162–0.459)]. After further adjusting the potential factors, the adjusted ORs for DKD were significant [0.569(0.333–0.973), 0.471(0.271–0.819), 0.384(0.209–0.708)]. The crude and adjusted ORs between FT4, TSH, TPO-Ab and DKD had no significant differences in men and in women, respectively.

Discussion

A total of 862 T2DM patients were enrolled in the cross-sectional study. The prevalence of DKD was 28.5% among T2DM patients, and no significance was observed between men and women. Thus, a higher prevalence of thyroid disease was observed in women as compared to men30. Therefore, we grouped men and women to discuss the association between thyroid hormones and DKD, respectively. Moreover, the prevalence of DKD decreased gradually as the quartiles of FT3 levels increased. The results of the current logistic regression analysis also revealed that FT3 levels were inversely associated with the prevalence of DKD in total population and men and not only in unadjusted models but also adjusted models. However, no significance was observed between FT3 and DKD in women. Therefore, FT3 levels exhibited a potentially significant association with DKD in euthyroid patients with type 2 diabetes.

Thyroid hormones participate in the physiological function of the kidney. Thyroid dysfunction can cause changes in renal blood flow, glomerular filtration rate, renal tubular absorption and secretion, and renal structure31. Furthermore, several studies showed that thyroid hormone levels within the normal range were associated with the risk of CKD9,10,11. A cohort study also indicated that low normal FT3 levels were associated with an increased risk of CKD in euthyroid function population9. Another study in middle-aged and elderly Chinese individuals found that low normal FT3 levels were associated with a high prevalence of microalbuminuria8. A small-scale study showed that the total triiodothyronine (TT3) level was significantly correlated with the levels of microalbuminuria. However, whether or not the thyroid hormone levels were within the normal range remained unclear in this study, while the FT3 levels had not been detected32. The above studies suggested that low normal FT3 levels were associated with CKD. However, only a few studies focused on the relationship between normal thyroid hormone levels and DKD in T2DM. Hitherto, only one study found a negative correlation between FT3 levels and DKD incidence in T2DM patients with normal thyroid function33. Our results were in agreement with the above study: FT3 levels were negatively correlated with the prevalence of DKD in T2DM patients with normal thyroid function. The current study failed to show a significant association between normal levels of FT3 and DKD in the women population. The potential reasons are illustrated as follows. Firstly, sex hormones (such as estrogen and testosterone) can regulate the thyroid function34. The gender difference in the relationship between FT3 and DKD can partially be explained by the difference in sex hormones. We did not measure levels of sex hormones in this study, which necessitates further research. Secondly, since the sample size of women was smaller than men, the precision and statistical power of the analysis might be lower for women. Additionally, the proportion of men was higher than that of women, which could also influence the correlation between thyroid hormone levels and DKD in women patients. Lastly, the FT3 levels of the women population were significantly lower than that in men (P < 0.001). A previous study23 in China based on the relationship between thyroid hormone and T2DM speculated that the prevalence of DKD depended on the concentrations of FT3 irrespective of the gender. Thus, further large-scale studies are required to clarify this hypothesis.

The present study had several characteristics. Firstly, men were prone to suffering from DKD than women3; however, the prevalence of DKD was higher in women than men without any statistical significance in the present study (31.9% vs 27.4%, P = 0.200). The possible explanations were as follows: the age of the women patients in the population was older than men (57.92 ± 11.51, women; 52.20 ± 11.21, men; P < 0.001), and the duration of T2DM of the former was longer than the latter (10.13 ± 7.03, women; 8.26 ± 6.39, men; P = 0.001). In addition, age and duration of diabetes are also risk factors for DKD3. Furthermore, the characteristics of the population in this study reflected the current situation of T2DM patients in Northwest China. Secondly, in this study, the “DKD” term was defined according to the guidelines of 2012 KDOQI22 and Diabetic Kidney Disease Consensus in China-201419: DKD was diagnosed with either GFR or UACR. Nevertheless, previous studies continue the usage of “dabetic nephropathy (DN)” term, and the value of UACR to diagnose DN, missing having normal UACR value and abnormal eGFR value patients.

The mechanism underlying the association between FT3 and DKD could be clearly demonstrated by the following: Firstly, T3 had been shown to influence the endothelial function by relaxation the vascular smooth muscle cells through direct or indirect effects in experimental models35,36,37. Low T3 was closely relevant to endothelial dysfunction in patients with advanced non-DKD38. The study confirmed that serum TSH levels in the upper reference range were also associated with impaired endothelial function measured via flow-mediated dilation39. The endothelial dysfunction was associated with albuminuria in diabetes40; therefore, low FT3 level and albuminuria may be related to endothelial dysfunction. Secondly, T3 could attenuate albuminuria and improve the renal structural damage in db/db diabetic mice by increasing the activity of phosphatidylinositol 3 kinase and decreasing the expression of transforming growth factor-β141. Finally, 3,5-diiodothyronine could protect the cells from renal damage in DKD by inhibiting the activation of NF-κβ and JNK42. These enzymes and pathways, mentioned above, were involved in the development of DKD.

However, the present study failed to find a correlation between TSH and DKD. The current results were in agreement with the study by Wu et al.33; however, the results differed from those reported by Qi et al.16 demonstrated an association between high TSH levels and an increased risk of DKD. Currently, the reasons for this discrepancy are yet to be elucidated, which might be related to differences in demographic and clinical characteristics, ethnicity, and research design. These phenomena might be attributed to the following: Patients with positive TPO-Ab may not be excluded in the present study. The population with positive TPO-Ab has a higher TSH level than the negative TPO-Ab in euthyroid population, and the TPO-Ab levels may be responsible for the endothelial dysfunction and subsequent microalbuminuria43. On the other hand, metformin is known to cause a decrease in the TSH levels in T2DM patients28,29. Thus, metformin is widely used in T2DM patients as a first-line treatment. In the current analysis, we adjusted the rate of metformin usage; however, these factors may influence the association between TSH and DKD. None of the ORs were found to be significant in FT4 quartiles, and this result was consistent with the previous study33, which might be attributed to the role of thyroid hormones that is achieved by FT3 binding to receptors and other related proteins to regulate the transcription of target genes and the expression of proteins. Similarly, no relationship between TPO-Ab and DKD was found in this study, which might be associated with a low positive TPO-Ab rate (8.0%). Moreover, previous studies indicated that T1DM with thyroid dysfunction was mostly due to the presence of autoimmune diseases and T2DM with thyroid dysfunction was primarily due to insulin resistance44,45.

In conclusion, the present study showed that FT3 in normal range was negatively correlated with DKD in T2DM with normal thyroid function. These results could aid in predicting the risk of DKD development, as well as the basis for a large-scale cohort study.

Nevertheless, the present study has some limitations. Firstly, this was a cross-sectional study with lack of long-term follow-up; thus, the relative risk could not be assessed. Therefore, further prospective and longitudinal studies should be conducted to confirm the relative risk between FT3 levels within normal range and DKD in T2DM patients. Secondly, UACR and thyroid function were estimated only once, which could result in misleading classifications. Thirdly, we did not assess the reverse triiodothyronine (rT3) of the population, and diabetes may have a low triiodothyronine (T3) syndrome, which is prone to hypothyroidism46, and thus, the relationship between hypothyroidism and some factors may have been underestimated in this study. Furthermore, the proportion of men was significantly higher than that of women, which might affect the relationship between the levels of thyroid hormone and DKD in women patients.

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Acknowledgements

The authors gratefully acknowledge financial support from the National Natural Science Foundation of China (Nos 81573746, 31600681), Military medical science and technology youth training program (17QNP029), Beijing Nova Program of Science and Technology (xx2017103) and the Translational Medicine Project of the Chinese PLA General Hospital (2016TM-012).

Author information

Author notes

  1. Jian Zou, Feng Tian and Yi Zhang contributed equally to this work.

Affiliations

  1. Department of Medicine, The 522 Hospital of the Chinese PLA, Luoyang, Henan Province, China

    • Jian Zou
    • , Feng Tian
    •  & Chao Xu
  2. Department of Endocrinology and Metabolism, The First Affiliated Hospital of Fourth Military Medical University, Xi’an, Shaanxi Province, China

    • Jian Zou
    • , Yi Zhang
    • , Jiajia Zhai
    • , Min Shi
    • , Wenjuan Li
    •  & Xiaomiao Li
  3. Department of Endocrinology and Metabolism, Xi’an Ninth People’s Hospital, Xi’an, Shaanxi Province, China

    • Yi Zhang
  4. Queen Marry College, Nanchang University, Nanchang, Jiangxi Province, China

    • Zeping Li
  5. Department of Blood Transfusion, General Hospital of the PLA Rocket Force, Beijing, China

    • Chao Yang
  6. Institute of Geriatrics, General Hospital of the Chinese PLA, Beijing, China

    • Haixu Chen
  7. Department of Endocrinology and Metabolism, 3201 Hospital, Hanzhong, Shaanxi Province, China

    • Juan Zhang
  8. Department of Respiratory, The Second Affiliated Hospital of Fourth Military Medical University, Xi’an, Shaanxi Province, China

    • Yonghong Xie

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Contributions

Conceived and designed the experiments: X.M.L., Y.H.X., J.Z., F.T., Y.Z. Performed the experiments: J.Z., F.T., Y.Z., J.J.Z., M.S., J.Z., F.T., W.J.L. Analyzed the data: J.Z., F.T., Y.Z., J.J.Z., X.M.L., Y.H.X.. Contributed reagents/materials/analysistools: J.Z., F.T., Y.Z., J.J.Z., M.S., J.Z., F.T., W.J.L. Wrote the paper: J.Z., Y.Z., J.J.Z., M.S., J.Z., F.T., W.J.L., X.M.L., Y.H.X. Revised the manuscript: J.Z., Z.P.L., C.Y., H.X.C., C.X.

Competing Interests

The authors declare no competing interests.

Corresponding authors

Correspondence to Yonghong Xie or Xiaomiao Li.

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