This study was aimed to eveluate the role of CCR5 on donor cells in recipient models received intensive conditioning, so as provide the scientific evidence for clinical application of allo-HSCT. Lethally irradiated BALB/c mice received allogeneic bone marrow transplants from C57BL/6 mice. Mice divided into 4 groups according to receiving variant donor cells: B6 CCR5 KO group, receiving C57BL/6 CCR5(-/-) mice bone marrow cells and splenocytes; B6 WT BMC group, receiving C57BL/6 mice bone marrow cells and splenocytes; B6 CCR5 KO BMC group, receiving C57BL/6 CCR5(-/-) bone marrow cells alone; B6 WT BMC group, receiving C57BL/6 mice bone marrow cells alone. The result showed that compared to B6 WT BMC group, B6 CCR5 KO group succumbed to acute GVHD at an accelerated rate. Donor CD8(+) T cells expanded to a significantly greater extent in recipients of CCR5 KO, compared with B6 WT control cells. T cells recovered from recipients of CCR5 KO cells produced more IFN-gamma and TNF-alpha and proliferated to a T-cell at a significantly higher level than T cells from recipients of WT cells, indicating that CCR5 plays a role in downregualting donor alloreative CD8(+) T-cells expansion. Histological assessment of the mice indicated pathological lesions in the kidneys and a greater degree of liver pathological changes in mice that received CCR5 KO donor grafts. It is concluded that the knock-out of CCR5 on donor cells results in increase of GVHD and donor CD8(+) T cell expansion, as well as hepatic and renal lesions in allo-HSCT, which indicates that CCR5 is very important in allo-BMT.
Animals ; Bone Marrow Transplantation ; adverse effects ; CD8-Positive T-Lymphocytes ; cytology ; immunology ; transplantation ; Female ; Graft vs Host Disease ; metabolism ; Mice ; Mice, Inbred BALB C ; Mice, Inbred C57BL ; Receptors, CCR5 ; genetics ; physiology

Background: Preoperative radiographic templating for total knee arthroplasty (TKA) has been shown to be inaccurate. Patient demographic data, such as gender, height, weight, age, and race, may be more predictive of implanted component size in TKA. Materials and methods: A multivariate linear regression model was designed to predict implanted femoral and tibial component size using demographic data along a consecutive series of 201 patients undergoing index TKA.Traditional, two-dimensional, radiographic templating was compared to demographic-based regression predictions on a prospective 181 consecutive patients undergoing index TKA in their ability to accurately predict intraoperative implanted sizes. Surgeons were blinded of any predictions. Results: Patient gender, height, weight, age, and ethnicity/race were predictive of implanted TKA component size.The regression model more accurately predicted implanted component size compared to radiographically templated sizes for both the femoral (P = 0.04) and tibial (P < 0.01) components. The regression model exactly predicted femoral and tibial component sizes in 43.7 and 43.7% of cases, was within one size 90.1 and 95.6% of the time, and was within two sizes in every case. Radiographic templating exactly predicted 35.4 and 36.5% of cases, was within one size 86.2 and 85.1% of the time, and varied up to four sizes for both the femoral and tibial components. The regression model averaged within 0.66 and 0.61 sizes, versus 0.81 and 0.81 sizes for radiographic templating for femoral and tibial components. Conclusions A demographic-based regression model was created based on patient-specific demographic data to predict femoral and tibial TKA component sizes. In a prospective patient series, the regression model more accurately and precisely predicted implanted component sizes compared to radiographic templating.Level of evidence: Prospective cohort, level II.

Background: Preoperative radiographic templating for total knee arthroplasty (TKA) has been shown to be inaccurate. Patient demographic data, such as gender, height, weight, age, and race, may be more predictive of implanted component size in TKA. Materials and methods: A multivariate linear regression model was designed to predict implanted femoral and tibial component size using demographic data along a consecutive series of 201 patients undergoing index TKA.Traditional, two-dimensional, radiographic templating was compared to demographic-based regression predictions on a prospective 181 consecutive patients undergoing index TKA in their ability to accurately predict intraoperative implanted sizes. Surgeons were blinded of any predictions. Results: Patient gender, height, weight, age, and ethnicity/race were predictive of implanted TKA component size.The regression model more accurately predicted implanted component size compared to radiographically templated sizes for both the femoral (P = 0.04) and tibial (P < 0.01) components. The regression model exactly predicted femoral and tibial component sizes in 43.7 and 43.7% of cases, was within one size 90.1 and 95.6% of the time, and was within two sizes in every case. Radiographic templating exactly predicted 35.4 and 36.5% of cases, was within one size 86.2 and 85.1% of the time, and varied up to four sizes for both the femoral and tibial components. The regression model averaged within 0.66 and 0.61 sizes, versus 0.81 and 0.81 sizes for radiographic templating for femoral and tibial components. Conclusions A demographic-based regression model was created based on patient-specific demographic data to predict femoral and tibial TKA component sizes. In a prospective patient series, the regression model more accurately and precisely predicted implanted component sizes compared to radiographic templating.Level of evidence: Prospective cohort, level II.