Distinct functionalities of bone morphogenetic protein antagonists during fracture healing in mice.

The bone morphogenetic protein (BMP) family of growth factors plays critical roles in bone formation. BMPs are regulated at multiple levels by various BMP antagonists. This study investigated how BMP antagonists are integrated into the cascade of events of bone formation during fracture healing. Forty mice underwent a controlled femur fracture; tissue samples at the fracture site were harvested at days 1, 3, 7, 14 and 21 after fracture, for quantification of the expression of BMPs and BMP antagonists. During fracture healing, BMP-2, -4 and -7 were up-regulated, but BMPR-1A and BMPR-2 showed reduced expression after day 14. Among BMP antagonists, the expressions of PRDC, SOST, Smad7, GREM1 and CERBERUS were generally down-regulated during fracture healing. In contrast, Noggin was significantly up-regulated in the first week after fracture; 7 days after fracture, other BMP antagonists, including DAN, CHRD, Smad6 and BAMBI, also showed significantly increased expression. In conclusion, this study indicates that BMP antagonists can be divided into two functional groups in relation to fracture healing: (1) those whose suppression may be essential for the initiation of osteogenesis; (2) those that are upregulated and may function in the remodeling of newly formed bone.

A genome scan using a novel genetic cross identifies new susceptibility loci and traits in a mouse model of rheumatoid arthritis.

Proteoglycan-induced arthritis (PGIA) is a murine model for rheumatoid arthritis (RA) both in terms of its pathology and its genetics. PGIA can only be induced in susceptible mouse strains and their F(2) progeny. Using the F(2) hybrids resulting from an F(1) intercross of a newly identified susceptible (C3H/HeJCr) and an established resistant (C57BL/6) strain of mouse, our goals were to: 1) identify the strain-specific loci that confer PGIA susceptibility, 2) determine whether any pathophysiological parameters could be used as markers that distinguish between nonarthritic and arthritic mice, and 3) analyze the effect of the MHC haplotype on quantitative trait loci (QTL) detection. To identify QTLs, we performed a genome scan on the F(2) hybrids. For pathophysiological analyses, we measured pro- and antiinflammatory cytokines such as IL-1, IL-6, IFN-gamma, IL-4, IL-10, IL-12, Ag-specific T cell proliferation and IL-2 production, serum IgG1 and IgG2 levels of both auto- and heteroantibodies, and soluble CD44. We have identified four new PGIA-linked QTLs (Pgia13 through Pgia16) and confirmed two (Pgia5, Pgia10) from our previous study. All new MHC-independent QTLs were associated with either disease onset or severity. Comprehensive statistical analysis demonstrated that while soluble CD44, IL-6, and IgG1 vs. IgG2 heteroantibody levels differed significantly between the arthritic and nonarthritic groups, only Ab-related parameters colocalized with the QTLs. Importantly, the mixed haplotype (H-2(b) and H-2(k)) of the C3H x C57BL/6 F(2) intercross reduced the detection of several previously identified QTLs to suggestive levels, indicating a masking effect of unmatched MHCs.

Identification of multiple loci linked to inflammation and autoantibody production by a genome scan of a murine model of rheumatoid arthritis.

OBJECTIVE: Proteoglycan-induced arthritis (PGIA) is a murine model of rheumatoid arthritis (RA), both in terms of its pathology and its genetics. PGIA can only be induced in susceptible murine strains and their F2 progeny. As with RA, the genetics are complex, containing both major histocompatibility complex (MHC)-related and non-MHC-related components. Our goal was to identify the underlying non-MHC-related loci that confer PGIA susceptibility. METHODS: We used 106 polymorphic markers to perform simple sequence-length polymorphism analysis on F2 hybrids of susceptible (BALB/c) and nonsusceptible (DBA/2) strains of mice. Because both strains of mice share the H2d haplotype, this cross permits identification and analysis of non-MHC-related genes. RESULTS: We identified a total of 12 separate quantitative trait loci (QTL) associated with PGIA, which we have named Pgia1 through Pgia12. QTLs associated with the inflammatory symptoms of PGIA were linked to chromosomes 7, 9, 15 (2 separate loci), 16, and 19. QTLs associated with autoantibody production were identified on chromosomes 1, 2, 7, 8, 10, 11, 16, and 18. QTLs on chromosomes 7 and 16 showed linkage to both inflammation and autoantibody production, suggesting a shared regulatory component in arthritis induction. The first inflammation QTL on chromosome 15 and the autoantibody QTL on chromosome 7 originate from the DBA/2 background, which indicates that as in RA, susceptibility genes can originate from heterogeneous backgrounds. CONCLUSION: These data demonstrate the complexity of PGIA, where QTLs may be involved in multiple traits or even originate from a genetic background previously determined to be resistant.