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Serum galectin-9 levels are elevated in the patients with type 2 diabetes and chronic kidney disease

  • Yuko Kurose1,
  • Jun Wada1Email author,
  • Motoko Kanzaki1,
  • Sanae Teshigawara1,
  • Atsuko Nakatsuka1,
  • Kazutoshi Murakami1,
  • Kentaro Inoue1,
  • Takahiro Terami1,
  • Akihiro Katayama1,
  • Mayu Watanabe1,
  • Chigusa Higuchi1,
  • Jun Eguchi1,
  • Nobuyuki Miyatake2 and
  • Hirofumi Makino1
BMC Nephrology201314:23

DOI: 10.1186/1471-2369-14-23

Received: 23 December 2011

Accepted: 18 January 2013

Published: 22 January 2013

Abstract

Background

Galectin-9 (Gal-9) induces apoptosis in activated T helper 1 (TH1) cells as a ligand for T cell immunoglobulin mucin-3 (Tim-3). Gal-9 also inhibits the G1 phase cell cycle arrest and hypertrophy in db/db mice, the hallmark of early diabetic nephropathy, by reversing the high glucose-induced up-regulation of cyclin dependent kinase inhibitors such as p27Kip1 and p21Cip1.

Methods

We investigated the serum levels of Gal-9 in the patients with type 2 diabetes and various stages of chronic kidney disease (CKD) (n=182).

Results

Serum Gal-9 levels in the patients with type 2 diabetes were 131.9 ± 105.4 pg/ml and Log10Gal-9 levels significantly and positively correlated with age (r=0.227, p=0.002), creatinine (r=0.175, p=0.018), urea nitrogen (r=0.162, p=0.028) and osmotic pressure (r=0.187, p=0.014) and negatively correlated with estimated glomerular filtration rate (eGFR) (r=−0.188, p=0.011). Log10Gal-9 levels increased along with the progression of GFR categories of G1 to G4, and they were statistically significant by Jonckheere-Terpstra test (p=0.012). Log10Gal-9 levels remained similar levels in albuminuria stages of A1 to A3.

Conclusion

The elevation of serum Gal-9 in the patients with type 2 diabetes is closely linked to GFR and they may be related to the alteration of the immune response and inflammation of the patients with type 2 diabetes and CKD.

Keywords

Type 2 diabetes Glomerular filtration Inflammation Kidney disease Nephropathy

Background

Galectins are β-galactoside binding protein and involved in various biological processes such as development, organogenesis, oncogenesis, cell adhesion, cell cycle regulation and immunity [1]. Mouse and rat galectin-9 (Gal-9) was identified [2, 3] and its human homologue was independently cloned by using autoreactive antibodies in Hodgikin’s disease [4]. Galectin-9 exerted apoptotic potential against thymocytes [2], suggesting their important roles in the negative selection of thymocytes. Gal-9 lacking signal peptide is secreted out by non-classical pathway under inflammatory state and induced apoptosis in activated CD8+ T cells [5, 6] and activated T helper 1 (TH1) cells [7], suggesting a potential mechanism to eliminate the activated T cells at termination of the immune response in inflammatory tissues. T cell immunoglobulin mucin-3 (Tim-3) has been identified as a receptor for Gal-9, Gal-9 induces apoptosis in CD4+Tim-3+ TH1 cells, and Gal-9-Tim-3 pathway negatively regulates TH1 immunity [7].

In addition to apoptotic potential to immune mediated cells, Gal-9 is a cell cycle regulator and it altered the status of cell proliferation and cell cycle arrest. In diabetic nephropathy, G1 phase cell cycle arrest and hypertrophy in mesangial and glomerular epithelial cells are the characteristic pathological change and up-regulation of cyclin dependent kinase inhibitors such as p27Kip1 and p21Cip1 are critically involved in this process. The injection of recombinant protein of Gal-9 into db/db mice inhibited the glomerular hypertrophy and albuminuria, and Gal-9 reversed up-regulation of p27Kip1 and p21Cip1 and promoted the progression of cell cycle from G1 phase in cultured mesangial cells [8].

The line of evidences led us to investigate the serum levels of Gal-9 in the patients with type 2 diabetes and various stages of chronic kidney disease (CKD), since the alteration of serum Gal-9 levels may influence the status of immune responses and cell cycle regulation in the various cells including kidney cells.

Methods

Patients

Japanese patients with type 2 diabetes (n=182, 60.4 ± 14.4 years) were enrolled into this study. The patients with type 2 diabetes were treated with oral hypoglycemic agents (n=132), insulin treatment (n=72) or both (n=32). The patients with eGFR < 15 ml/min/1.73 m2 or under dialysis were excluded from the current study. All recruited patients with type 2 diabetes agreed to measure serum Gal-9 levels. The study was conducted in accordance with the ethical principle of the Declaration of Helsinki and approved by ethical committee of Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences. We obtained informed consent from each patient.

Blood sampling and assays

We measured overnight fasting serum levels of total cholesterol and low density lipoprotein (LDL) cholesterol, high density lipoprotein (HDL) cholesterol, triglycerides (L Type Wako Triglyceride · H, Wako Chemical, Osaka), uric acid, serum creatinine (Cr), serum urea nitrogen (UN), plasma glucose, and HbA1c. Urinary albumin was measured in random spot urine samples by standard immuno-nephelometric assay. The urinary albumin-creatinine ratio (ACR) was calculated. Estimated glomerular filtration rate (eGFR) was calculated by equation; eGFR (ml/min/1.73 m2)=194 × Cr-1.094 × age-0.287 in male and eGFR (ml/min/1.73 m2)=194 × Cr-1.094 × age-0.287 × 0.739 in female [9]. By using the definition and classification of chronic kidney disease [Kidney Disease: Improving Global Outcomes (KDIGO)] [10], all patients were classified into albuminuria and GFR category. In albuminuria stages, the patients were classified into three groups; A1 (<30 mg/gCr), A2 (30–299 mg/gCr) and A3 (≥300 mg/gCr). In GFR stages, they were classified into 4 groups; G1 (≥90 ml/min/1.73 m2), G2 (60–89 ml/min/1.73 m2), G3 (30–59 ml/min/1.73 m2), and G4 (15–29 ml/min/1.73 m2). Osmotic pressure was calculated by osmotic pressure (mOSM/l)=2×[Na (mmol/l) +K (mmol/l)]+[plasma glucose (mg/dl) / 18)+[UN (mg/dl) / 2.8]. Serum Gal-9 levels were measured with ELISA kit for human Gal-9 (Uscn, Wuhan, P.R. China). According to the manufacturer’s data sheet, sensitivity is less than 2.8 pg/ml and no significant cross-reactivity or interference among human Gal-9 and analogues was observed.

Statistical analysis

All data are expressed as mean ± standard deviation (SD) values. Since serum Gal-9 concentrations did not show normal distribution, they were log-transformed and nonparametric tests were employed. Spearman correlation coefficients were used to evaluate whether serum Log10Gal-9 levels correlated with various parameters. To determine the variables independently associated with serum Gal-9 levels in the patients with type 2 diabetes, multiple regression analysis was performed by including age, osmotic pressure and eGFR as independent variables. Gal-9 levels and various clinical parameters in albuminuria and GFR stages were compared by Jonchheere-Terpstra test. Jonchheere-Terpstra test is similar to Kruskal-Wallis test but applied to samples with a priori ordering, e.g., stages of disease. P values less than 0.05 were considered statistically significant. Statistical analysis was performed with PASW Statistics 18 (SPSS Inc., Chicago, IL).

Results

Serum Gal-9 levels correlated with age, Cr, UN, eGFR and osmotic pressure

Serum Gal-9 did not show correlation with blood glucose, HbA1c levels and variation of the treatments in type 2 diabetes. Serum Gal-9 levels in the patients with type 2 diabetes were 131.9 ± 105.4 pg/ml. Serum Gal-9 levels significantly and positively correlated with age (r=0.227, p=0.002), Cr (r=0.175, p=0.018), UN (r=0.162, p=0.028) and osmotic pressure (r=0.187, p=0.014) (Figure 1A-1C, 1E). Serum Gal-9 levels significantly and negatively correlated with eGFR (r=−0.188, p=0.011) (Figure 1D). The linear regression analyses were followed by a stepwise multiple regression analysis using serum Gal-9 levels as the dependent variables to further analyze the significant predictors (Table 1). Age, osmotic pressure and eGFR were used as independent variables. By stepwise analysis in model 1, only osmotic pressure independently correlated with serum Gal-9 levels. By including all variables demonstrating significant simple correlation with serum Gal-9 levels, only osmotic pressure significantly predicted the serum Gal-9 levels but other parameters did not enter the equation at significant levels in model 2 (Table 1).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2369-14-23/MediaObjects/12882_2011_Article_433_Fig1_HTML.jpg
Figure 1

Serum galectin-9 levels in the patients with type 2 diabetes (n=182). The simple correlations of Log10Gal-9 and various parameters; age (A), serum creatinine (B), serum urea nitrogen (C), estimated glomerular filtration rate (eGFR) (D), and osmotic pressure (E). Log10Gal-9 levels are also shown in GFR stages and albuminuria stages and differences are analyzed by Jonckheere-Terpstra test (F).

Table 1

Multiple linear regression analysis in the patients with type 2 diabetes (n=182) using serum galectin-9 levels as dependent variables

Model

Independent variables

Unstandardized coefficient

Standardized coefficients

t value

P value

Model r2

  

B

Standard Error

Beta

   

1

Osmotic pressure (mmol/kg)

0.020

0.006

0.239

3.187

0.002

0.057

2

Age (year)

0.003

0.003

0.102

1.141

0.255

0.068

Osmotic pressure (mmol/kg)

0.018

0.007

0.209

2.521

0.013

 
 

eGFR (mL/s)

−0.012

0.102

−0.011

−0.113

0.910

 

Age, osmotic pressure and estimated glomerular filtration rate (eGFR) are used as independent variables in stepwise multiple linear regression analysis in model 1. In model 2, all parameters are included in the analysis.

Serum Gal-9 levels elevated with the progression of GFR stages

Next, we investigated the serum Gal-9 levels in various stages of CKD. Age, ACR, Cr, UN, eGFR and osmotic pressure were significantly increased during the progression of GFR stages by Jonckheere-Terpastra test (Table 2). Log10Gal-9 levels also increased in the later stages of GFR and they were statistically significant by Jonchheere-Terpstra test (p=0.012) (Table 2 and Figure 1F). Since age differs significantly between G1 to G4 stages in Table 2, we selected the patients older than 60 years old (n=107) and performed Jonckheere-Terpastra analysis. Log10Gal-9 levels were still statistically different in G1 to G4 stages (p = 0.046). In albuminuria stages, ACR, Cr, UN, eGFR and osmotic pressure were significantly altered by Jonckheere-Terpstra (Table 3). However, Log10Gal-9 levels remained similar levels in A1 to A3 stages (Table 3 and Figure 1F).
Table 2

Comparison of various parameters in glomerular filtration stages of chronic kidney disease in type 2 diabetes patients (n=182)

 

G1

G2

G3

G4

Total

Jonckheere-Terpstra

Number (male/female)

37 (21 / 16)

99 (37 / 62)

41 (12 / 29)

5 (1 / 4)

182 (71 / 111)

0.009**

Age (years)

50.0±15.5

60.7±10.8

70.2±11.7

73.8±7.8

60.4±14.4

6.43×10-10**

BMI (kg/m2)

27.0±6.9

25.5±4.8

24.7±4.0

25.9±1.7

25.6±5.1

0.242

SBP (mmHg)

128.9±14.7

129.7±15.4

129.6±18.3

128.2±18.4

129.5±15.9

0.939

DBP (mmHg)

77.7±10.8

74.5±10.9

73.1±12.9

67.4±9.8

74.7±11.4

0.031*

PG (mmol/L)

9.6±4.2

8.6±3.1

8.8±3.1

8.6±3.1

8.9±3.3

0.113

HbA1c (%)

7.90±1.54

7.25±1.01

7.13±0.78

7.04±0.88

7.35±1.12

0.029*

HbA1c (mmol/mol)

65.3±16.0

58.5±10.5

57.3±8.1

73.1±9.1

76.4±11.6

0.029*

ACR (mg/gCr)

19.6±27.7

130.6±344.4

421.4±1191

702.1±603.0

196.6±655.0

0.005**

Cr (μmol/L)

49.5±8.8

66.3±11.5

94.6±23.0

245.8±114.9

74.3±39.8

3.45×10-21**

UN (mmol/L)

4.7±1.6

5.7±1.6

20.6±7.4

15.7±2.1

6.1±2.5

1.60×10-9**

eGFR (mL/s)

1.76±0.26

1.25±0.14

0.85±0.13

0.33±0.10

1.24±0.37

8.80×10-30**

Osmotic pressure (mmol/kg)

299.3±4.0

301.2±4.3

303.0±4.2

312.9±1.2

301.6±4.8

4.78×10-6**

T-Cho (mmol/L)

4.77±0.81

4.93±0.88

4.80±1.30

5.05±0.90

4.87±0.97

0.736

TG (mmol/L)

1.51±0.74

1.51±0.77

1.68±0.91

2.19±1.16

1.56±0.81

0.391

HDL-C (mmol/L)

1.48±0.36

1.61±0.54

1.53±0.45

1.27±0.06

1.56±0.49

0.776

LDL-C (mmol/L)

2.67±0.70

2.79±0.68

2.73±0.80

3.09±0.99

2.75±0.72

0.753

Log10Gal-9 (pg/mL)

1.89±0.41

1.94±0.42

2.02±0.43

2.27±0.32

1.96±0.42

0.012*

BMI, body mass index; SBP, Systolic Blood Pressure; DPB, Diastolic Blood Pressure; PG, Plasma glucose; ACR, albumin / creatinine ratio; Cr, serum creatinine; UN, serum urea nitrogen; eGFR, estimated glomerular filtration ratio; T-Cho, Total cholesterol; TG, Triglyceride; HDL-C, HDL cholesterol; LDL-C, LDL cholesterol; Log10Gal-9, Log10galectin-9 (pg/mL). *, p < 0.05; **, p < 0.01.

Table 3

Comparison of various parameters in albuminuria stages of chronic kidney disease in type 2 diabetes patients (n=182)

 

A1

A2

A3

Total

Jonckheere-Terpstra

Number (male/female)

108 (46 / 62)

47 (17 / 30)

27 (8 / 19)

182 (71 / 111)

0.075

Age (years)

60.0±14.0

63.5±13.5

62.0±12.7

60.4±14.4

0.199

BMI (kg/m2)

25.3±1.5

26.2±6.2

27.3±5.1

25.6±5.1

0.227

SBP (mmHg)

128.8±13.3

132.7±19.7

137.0±20.0

129.5±15.9

0.071

DBP (mmHg)

75.1±9.9

72.7±13.1

78.3±16.6

74.7±11.4

0.982

PG (mmol/L)

8.5±3.0

9.6±3.9

9.1±2.7

8.9±3.3

0.170

HbA1c (%)

7.27±0.87

7.51±1.35

7.61±1.41

7.35±1.12

0.611

HbA1c (mmol/mol)

75.5±9.0

78.0±14.0

79.0±14.6

76.3±11.6

0.611

ACR (mg/gCr)

11.2±6.2

110.7±83.4

1474±1444

196.6±655.0

5.06×10-23**

Cr (μmol/L)

69.0±40.7

73.4±19.4

114.9±53.9

74.3±39.8

2.44×10-4**

UN (mmol/L)

5.8±2.1

6.5±1.9

9.1±4.1

6.1±2.5

2.04×10-4**

eGFR (mL/s)

1.29±0.34

1.17±0.30

0.86±0.37

1.24±0.37

2.55×10-4**

Osmotic pressure (mmol/kg)

301.0±4.0

300.9±4.7

306.7±4.8

301.6±4.8

0.013*

T-Cho (mmol/L)

4.85±0.92

5.00±1.17

4.98±0.94

4.87±0.97

0.688

TG (mmol/L)

1.44±0.71

1.75±0.82

1.72±0.84

1.56±0.81

0.051

HDL-C (mmol/L)

1.57±0.49

1.52±0.51

1.56±0.54

1.56±0.49

0.413

LDL-C (mmol/L)

2.77±0.62

2.90±0.85

2.78±0.77

2.75±0.72

0.890

Log10Gal-9 (pg/mL)

1.97±0.43

1.90±0.45

1.98±0.30

1.96±0.42

0.374

BMI, body mass index; SBP, Systolic Blood Pressure; DPB, Diastolic Blood Pressure; PG, Plasma glucose; ACR, albumin / creatinine ratio; Cr, serum creatinine; UN, serum urea nitrogen; eGFR, estimated glomerular filtration ratio; T-Cho, Total cholesterol; TG, Triglyceride; HDL-C, HDL cholesterol; LDL-C, LDL cholesterol; Log10Gal-9, Log10galectin-9 (pg/mL). *, p < 0.05; **, p < 0.01.

Discussion

The presence of galectin-9 in human serum was well-documented in previous reports. Serum galectin-9 was elevated in hepatitis C infection and it was released from Kupffer cells in the liver [11]. In addition, oral administrations of dietary synbiotic bacteria such as Bifidobacterium breve M-16V increased the expression of galectin-9 in intestinal epithelial cells, increased serum galectin-9 levels, and prevented allergic responses in human [12]. Galectin-9 is also stimulated and released from various cells by interferon-γ in human endothelial cells [13], fibroblasts [14], pancreatic β cells [15], and Kupffer cells [11]. Galectin-9 is vulnerable to digestion by proteolytic degradation; however, it was reported that galectin-9 is inserted into exosome and released, thus it is protected by enzymatic degradation, and the intact 36 kDa molecule was demonstrated in the serum exosome fraction [16]. Galectin-9 is also abundantly expressed in the cytoplasm of tubular cells and kidney may contribute the circulating Gal-9; however, regulation of the release of Gal-9 from kidney cells is completely unknown [2, 3].

In current clinical investigation, simple correlation of Log10Gal-9 levels with age, Cr, UN, and eGFR suggested that serum Gal-9 levels closely related to the renal function in patients with type 2 diabetes. The molecular weight of Gal-9 is ~36 kDa and it would be filtered through glomerular capillaries and the reduction of GFR may be linked to the elevation of serum Gal-9 levels. Actually, log10Gal-9 levels increased along with the progression of GFR stages, i.e. G1 to G4. In diabetic kidney disease, albuminuria also increased during the progression of the disease and Gal-9 may be actively filtered through glomerular basement membranes; however, serum Gal-9 levels did not negatively correlate with urinary albumin excretion and serum Gal-9 levels were not altered in the progression of albuminuria stages from A1 to A3. Although both of the reduced filtration of Gal-9 and loss of Gal-9 into the urine may be the determinants for the serum Gal-9 levels, the current clinical study suggested that GFR mainly defined the serum Gal-9 levels.

In addition to GFR, serum Gal-9 levels also revealed simple correlation with osmotic pressure. Since serum osmotic pressure is determined by the concentrations of sodium, potassium, plasma glucose and UN, the osmotic pressure in the patients of type 2 diabetes would be elevated by the impairment of renal function or by hyperglycemia. Multiple linear regression analysis revealed that osmotic pressure is only significant predictor for serum Gal-9 levels by employing age, osmotic pressure and eGFR as independent variables. A novel model for non-classical secretion of fibroblast growth factor 1 (FGF1), FGF2, and galectins without signal peptide have been reported, namely oncotic release, where a change in the colloidal osmotic pressure by serum deprivation in the culture cells creates the nonlethal oncotic pores in the plasma membranes through which proteins are released [17]. There are no reports whether the increase in osmotic pressure alters the plasma membrane and it stimulates the secretion of Gal-9 via non-classical pathway; however, the current study suggested that osmotic pressure might be the stimulator for the release of Gal-9 and the future studies are required to support this evidence.

Since the current investigation is cross-sectional clinical study, it is difficult to conclude whether elevated serum Gal-9 levels are protective or promoting for the progression of diabetic nephropathy. Gal-9 induces apoptosis in CD4+Tim-3+ TH1 cells, and Gal-9-Tim-3 pathway negatively regulates TH1 immunity, thus the elevation of serum Gal-9 may be beneficial in the progression of diabetic nephropathy by negatively regulating the immune responses and inflammation [18]. In addition, the elevation of serum Gal-9 concentrations may inhibit the G1 cell cycle arrest and hypertrophy of the kidney cells [8]. Thus, the follow-up cohort study may be required to clarify whether the elevated serum Gal-9 levels in type 2 diabetes are preventive for the progression of diabetic nephropathy. In recent series of the investigations, Gal-9 is also reported to regulate the virus specific T-cell response [19], T cell immunity in hepatitis C infection [11], anti-microbial immunity [20], it is an important clinical question whether elevated serum levels of Gal-9 in the patients with type 2 diabetes and diabetic nephropathy are related to the susceptibility for various infection in the future studies.

Conclusion

Serum Gal-9 levels in the patients with type 2 diabetes significantly and positively correlated with age, creatinine, urea nitrogen and osmotic pressure and negatively correlated with estimated glomerular filtration rate (eGFR). Log10Gal-9 levels increased along with the progression of GFR categories of G1 to G4, and they were statistically significant by Jonckheere-Terpstra test (p=0.012). The elevation of serum Gal-9 in the patients with type 2 diabetes is closely linked to GFR and they may be related to the alteration of the immune response and inflammation of the patients with type 2 diabetes and CKD.

Declarations

Acknowledgements

This work was supported by JSPS Grant-in-Aid for Scientific Research, Grant number (24790926, 23390241, 23659470, 23126516 and 21249053).

Authors’ Affiliations

(1)
Department of Medicine and Clinical Science, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
(2)
Department of Hygiene, Faculty of Medicine, Kagawa University

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  21. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2369/14/23/prepub

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© Kurose et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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