E. Jennifer Weil

OBJECTIVE: The purpose of this study was to investigate the effect of periodontitis on development of overt nephropathy, defined as macroalbuminuria, and end-stage renal disease (ESRD) in type 2 diabetes. RESEARCH DESIGN AND METHODS: Individuals residing in the Gila River Indian Community aged > or =25 years with type 2 diabetes, one or more periodontal examination, estimated glomerular filtration rate > or =60 ml/min per 1.73 m(2), and no macroalbuminuria (urinary albumin-to-creatinine ratio > or =300 mg/g) were identified. Periodontitis was classified as none/mild, moderate, severe, or edentulous using number of teeth and alveolar bone score. Subjects were followed to development of macroalbuminuria or ESRD, defined as onset of renal replacement therapy or death attributed to diabetic nephropathy. RESULTS: Of the 529 individuals, 107 (20%) had none/mild periodontitis, 200 (38%) had moderate periodontitis, 117 (22%) had severe periodontitis, and 105 (20%) were edentulous at baseline. During follow-up of up to 22 years, 193 individuals developed macroalbuminuria and 68 developed ESRD. Age- and sex-adjusted incidence of macroalbuminuria and ESRD increased with severity of periodontitis. After adjustment for age, sex, diabetes duration, BMI, and smoking in a proportional hazards model, the incidences of macroalbuminuria were 2.0, 2.1, and 2.6 times as high in individuals with moderate or severe periodontitis or those who were edentulous, respectively, compared with those with none/mild periodontitis (P = 0.01). Incidences of ESRD in individuals with moderate or severe periodontitis or in those who were edentulous were 2.3, 3.5, and 4.9 times as high, respectively, compared with those with none/mild periodontitis (P = 0.02). CONCLUSIONS: Periodontitis predicts development of overt nephropathy and ESRD in individuals with type 2 diabetes. Whether treatment of periodontitis will reduce the risk of diabetic kidney disease remains to be determined.

Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2, C57BLKS db/db, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared human-mouse cross-species glomerular transcriptional networks containing 143 (Human-DBA STZ), 97 (Human-BKS db/db), and 162 (Human-BKS eNOS(-/-) db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetes complications, such as elements of Janus kinase (JAK)/signal transducer and activator of transcription (STAT) and vascular endothelial growth factor receptor (VEGFR) signaling pathways. In addition, novel pathways not previously associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in selecting mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans.

BACKGROUND: Since the beginning of the technology, there has been active debate about the role of human leucocyte antigen (HLA) matching in kidney allograft survival. Recent studies have reported diminishing importance of HLA matching, which have, in turn, been challenged by reports that suggest the continuing importance of these loci. Given the controversies, we examined the effect of HLA compatibility on kidney allograft survival by studying all first adult kidney transplants in the United States from a deceased donor. METHODS: Using the United Network for Organ Sharing data, we identified first deceased donor kidney transplants between October 1, 1987, and December 31, 2013. Recipients were classified by their number of HLA mismatches. Cox multivariate regression analyses adjusting for recipient and donor transplant characteristics were performed to determine the impact of HLA compatibility on kidney allograft survival. RESULTS: Study cohort included 189 141 first adult kidney alone transplants, with a total of 994 558 years of kidney allograft follow-up time. Analyses adjusted for recipient and donor characteristics demonstrated a 13% higher risk (hazard ratio, 1.13; 95% confidence interval, 1.06-1.21) with 1 mismatch and a 64% higher risk (hazard ratio, 1.64, 95% confidence interval, 1.56-1.73) with 6 mismatches. Dividing the mismatch categories into 27 ordered permutations, and testing their 57 within mismatch category differences, demonstrated that all but 1 were equal, independent of locus. CONCLUSIONS: A significant linear relationship of hazard ratios was associated with HLA mismatch and affects allograft survival even during the recent periods of increasing success in renal transplantation.

BACKGROUND AND PURPOSE: Black Americans with spontaneous intracerebral hemorrhage (SICH) may have unique clinical characteristics that affect outcome. The aim of this study was to determine the prognostic value of clinical characteristics and initial CT scan for outcome in black Americans with SICH. METHODS: Clinical and demographic data were extracted from the charts of 182 consecutive black Americans admitted for SICH diagnosed by clinical criteria and initial CT scan. Hemorrhage volumes were calculated from admission CT scans by a computerized method. Univariate and multiple logistic regression analyses were performed to determine independent predictors of early deterioration (defined as a decrease from an initial Glasgow Coma Scale score > 12 by > or = 4 points within 24 hours from presentation) and mortality. RESULTS: Both hemorrhage volume and ventricular extension were significant, independent predictors of early deterioration (odds ratio [OR], 6.78; 95% confidence interval [CI], 1.89 to 24.35 and OR, 4.67; 95% CI, 1.30 to 16.72, respectively) and mortality (OR, 6.66; 95% CI, 2.85 to 15.58 and OR, 4.23; 95% CI, 1.82 to 9.82, respectively). A Glasgow Coma Scale score < or = 12 also predicted mortality (OR, 3.23; 95% CI, 1.46 to 7.14). Initial mean arterial pressure was not an independent predictor of early deterioration or mortality. CONCLUSIONS: Hemorrhage volume and ventricular extension are the best predictors of early deterioration and mortality in black Americans with SICH.