Cutting edge: novel human dendritic cell- and monocyte-attracting chemokine-like protein identified by fold recognition methods.

Chemokines play an important role in the immune system by regulating cell trafficking in homeostasis and inflammation. In this study, we report the identification and characterization of a novel cytokine-like protein, DMC (dendritic cell and monocyte chemokine-like protein), which attracts dendritic cells and monocytes. The key to the identification of this putative new chemokine was the application of threading techniques to its uncharacterized sequence. Based on our studies, DMC is predicted to have an IL-8-like chemokine fold and to be structurally and functionally related to CXCL8 and CXCL14. Consistent with our predictions, DMC induces migration of monocytes and immature dendritic cells. Expression studies show that DMC is constitutively expressed in lung, suggesting a potential role for DMC in recruiting monocytes and dendritic cells from blood into lung parenchyma.

Quantification of cortical bone loss and repair for therapeutic evaluation in collagen-induced arthritis, by micro-computed tomography and automated image analysis.

OBJECTIVE: Ex vivo and in vivo micro-computed tomography (micro-CT) combined with a novel image analysis algorithm were used to quantify cortical bone loss and periosteal new bone formation for therapeutic evaluation in a murine model of collagen-induced arthritis. METHODS: An automated algorithm was created to locate 5 metatarsophalangeal and 3 metacarpophalangeal joints in 3-dimensional micro-CT images of mouse paws for evaluation of joint cortical bone volume (JCBV) within close proximity of the joints as well as cortical bone mineral density and periosteal new bone formation within the paws. For validation, automated estimates of JCBV were compared with radiographic visual scores (RVS) in 4 treatment groups (n = 9 per group): rat anti-mouse CD11a monoclonal antibody, methotrexate (MTX), anti-CD11a plus MTX, and saline only. In a separate study, serial images of hind limbs were evaluated in 2 treatment groups: murine tumor necrosis factor receptor II-Fc fusion protein (mTNFRII; n = 10) and control antibody (n = 7). RESULTS: Automated estimates of the JCBV were significantly correlated with the RVS (hind paws R = -0.94, front paws R = -0.81, combined R = -0.87). The anti-CD11a group had significantly higher JCBV compared with controls. In the serial study, the automated estimate of JCBV detected significant treatment effects in the mTNFRII-Fc group compared with controls. Cortical bone mineral density was significantly higher in all treatment groups compared with controls. CONCLUSION: Micro-CT combined with a novel image analysis technique (estimation of JCBV) provides a fully automated means to quantify bone destruction in a mouse model of rheumatoid arthritis.