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. 2017:2017:5052812.
doi: 10.1155/2017/5052812. Epub 2017 Apr 16.

The Imbalance of B-Lymphocyte Subsets in Subjects with Different Glucose Tolerance: Relationship with Metabolic Parameter and Disease Status

Chao Deng  1   2 , Yufei Xiang  1   2 , Tingting Tan  1   2 , Zhihui Ren  1   2 , Chuqing Cao  1   2 , Bingwen Liu  1   2 , Gan Huang  1   2 , Xiangbing Wang  3 , Zhiguang Zhou  1   2
Affiliations

The Imbalance of B-Lymphocyte Subsets in Subjects with Different Glucose Tolerance: Relationship with Metabolic Parameter and Disease Status

Chao Deng et al. J Diabetes Res. 2017.

Abstract

B lymphocytes are involved in inflammation and are related to insulin resistance in obesity and type 2 diabetes (T2D). This study investigated the phenotype and frequency of B-lymphocyte subsets in subjects recently diagnosed with T2D (n = 60), impaired glucose regulation (IGR, n = 73), and normal glucose tolerance (NGT, n = 169) by flow cytometry. T2D subjects had an increased percentage of CD19+CD23+ (B-2) cells and a decreased percentage of CD19+CD23- (B-1) cells attributing to CD19+CD23-CD5- (B-1b) cells, but not CD19+CD23-CD5+ (B-1a) cells, compared to NGT and IGR subjects. The proportion of CD19+CD5+CD1dhi (B10) cells did not differ between the IGR or T2D group and NGT controls. Of note, HbA1c and triglyceride showed a positive correlation with B-2 cells but an inverse correlation with B-1 and B-1b cells, which were independently associated with the presence of T2D by logistic regression models. In summary, this study shows an unbalanced proinflammatory phenotype of B-cell subsets correlated with glycemia and lipidemia in patients with T2D. Our data provide new insight into chronic activation of the immune system and subclinical inflammation in T2D. Further prospective studies are warranted to confirm our observations.

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Figures

Figure 1
Figure 1
Representative flow cytometry analysis of peripheral B-cell subsets in subjects with NGT, IGR, and T2D. (a) Dots represent CD19+ B-cell frequency in total lymphocytes. Dead cells were excluded from the analysis based on their forward- and side-light scatter properties and propidium iodide staining. Doublets were excluded by FSC-A/FSC-H. (b) Representative dot plot showed the gating strategy for B-2 and B-1(B-1a, B-1b) cells in the CD19+ gate. (c) Representative dot plot showed the gating strategy for B10 cells gated on CD19+ B cells. IGR, impaired glucose regulation subjects; NGT, normal glucose tolerance subjects; T2D, type 2 diabetic subjects.
Figure 2
Figure 2
The frequency of B-cell subsets in subjects of different glucose metabolism status. The frequency of B-2 (a), B-1 (b), B-1b (c), and B10 (d) cells gated on CD19+ B cells. Each point represents the proportion of B-cell subsets of an individual. Horizontal lines show medians. ∗P < 0.05, ∗∗P < 0.01, and ∗∗∗P < 0.001.
Figure 3
Figure 3
Receiver operating characteristic (ROC) curve analysis of performance of B-cell subsets in distinguishing type 2 diabetes.
See this image and copyright information in PMC

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