The first response to infection in the blood is mediated by leukocytes. As a result crucial information can be gained from a hemogram. Conventional methods such as blood smears and automated sorting procedures are not capable of recording detailed biochemical information of the different leukocytes. In this study, Raman spectroscopy has been applied to investigate the differences between the leukocyte subtypes which have been obtained from healthy donors. Raman imaging was able to visualize the same morphological features as standard staining methods without the need of any label. Unsupervised statistical methods such as principal component analysis and hierarchical cluster analysis were able to separate Raman spectra of the two most abundant leukocytes, the neutrophils and lymphocytes (with a special focus on CD4(+) T-lymphocytes). For the same cells a classification model was built to allow an automated Raman-based differentiation of the cell type in the future. The classification model could achieve an accuracy of 94% in the validation step and could predict the identity of unknown cells from a completely different donor with an accuracy of 81% when using single spectra and with an accuracy of 97% when using the majority vote from all individual spectra of the cell. This marks a promising step toward automated Raman spectroscopic blood analysis which holds the potential not only to assign the numbers of the cells but also to yield important biochemical information.

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T lymphocytes bearing the γδ-TCR accumulate during wound healing and inflammation. However, the role of γδ-T lymphocytes in fibrogenic tissue reactions is not well understood. Therefore, we addressed the question of whether human γδ-T cells express and synthesize connective tissue growth factor (CTGF), a factor known to regulate fibrogenesis and wound healing. In addition, the lymphoblastic leukemia T cell line (Loucy) that possesses characteristics typical of γδ-T cells was used as a model to evaluate the regulation of CTGF gene expression. Blood γδ-T cells isolated from healthy donors were grown in the presence of IL-15/TGF-β1 for 48 h and assessed for the expression and synthesis of CTGF. Nonstimulated human blood γδ-T cells and Loucy γδ-T cells expressed low levels of CTGF mRNA. Costimulation of the cells with IL-15 and TGF-β1 resulted in a substantially increased level of CTGF mRNA expression within 4–8 h, and it remained elevated for at least 48 h. In contrast, no CTGF mRNA was detected when nonstimulated and stimulated human CD4+ αβ-T cells were analyzed. In addition, Western blot analysis of human γδ-T cell lysates prepared 4 days following stimulation with IL-15 and TGF-β1 revealed a 38-kDa CTGF protein in cell lysates of human γδ-T cells. Detection was confirmed using Colo 849 fibroblasts, which can constitutively express high levels of CTGF. In conclusion, we herein present novel evidence that in contrast to CD4+ αβ-T cells human γδ-T cells are capable of expressing CTGF mRNA and synthesizing its corresponding protein, which supports the concept that γδ-T cells may contribute to wound healing or tissue fibrotic processes.