Bone Morphogenetic Protein-7 and disease progression in renal amyloidosis patients

Elevated Levels of Circulating Bone Morphogenetic Protein 7 Predict Mortality in Pulmonary Arterial Hypertension

BACKGROUND

This study aimed to show whether circulating bone morphogenetic proteins (BMPs) levels are associated with increased risk of mortality in patients with pulmonary arterial hypertension (PAH).

METHODS

A total of 156 patients with PAH including 43 with heritable PAH (HPAH) and 113 with idiopathic PAH (IPAH) diagnosed by gene screening were enrolled in the study. Circulating BMPs were measured by ELISA in plasma samples from patients with HPAH (n = 43) and IPAH (n = 113) and from control subjects (n = 51). Clinical characteristics at baseline and long-term survival were compared according to the different BMP levels.

RESULTS

Patients with HPAH had significantly higher BMP7 concentrations than patients with IPAH and control subjects (20.1 [interquartile range (IQR), 9.4, 55.2] vs 6.5 [IQR, 3.5, 11.7] and 2.5 [IQR, 0.9, 6.6] pg/mL, respectively; P < .001). Elevated plasma BMP7 were associated with a higher risk of mortality after adjustment for sex, 6-minute walk distance, mean right atrial pressure, mean pulmonary arterial pressure, pulmonary vascular resistance, and cardiac output (HR, 1.904; 95% CI, 1.021-3.551; P = .043). Patients with IPAH with a BMP7 level > 7.85 pg/mL had a higher risk of mortality than those with a low BMP7 concentration (P = .042, log-rank test).

CONCLUSIONS

Levels of circulating BMP7 correlate with mortality in PAH, and may be a predictor of disease in patients with HPAH and IPAH.

Evaluation of shear wave velocity and human bone morphogenetic protein-7 for the diagnosis of diabetic kidney disease

Purpose

The aim of this study was to determine the diagnostic values of kidney shear wave velocity (SWV) and bone morphogenetic protein-7 (BMP-7), and their correlation in the diagnosis of early diabetic kidney disease.

Methods

A total of 150 patients with type 2 diabetes mellitus were divided into three equal groups based on the urinary albumin-creatinine ratio (ACR): normal albuminuria (normo- group, ACR < 30 mg/g creatinine, n = 50), microalbuminuria (micro- group, 30 ≤ ACR < 300 mg/g creatinine, n = 50), and macroalbuminuria (macro- group, ACR ≥ 300 mg/g creatinine and estimated glomerular filtration rate (eGFR) ≥30 ml/min/1.73 m², n = 50). Fifty healthy volunteers were recruited to serve as controls (control group). The levels of serum BMP-7 were detected, and virtual touch tissue quantification was used to detect the renal SWV value in all study subjects. Correlations between groups as well as SWV and BMP-7 were analyzed.

Results

Serum BMP-7 and SWV were significantly and progressively decreased and increased, respectively, during the development of renal disease, from the normo- to the micro- and to the macro- groups (all P < 0.01 between each other for BMP-7 and SWV). Moreover, no significant differences between the normo- and control groups were observed for either BMP-7 or SWV (both P > 0.05). In addition, a significant correlation was found between SWV and BMP-7, with a coefficient of -0.569 (P < 0.05).

Conclusion

The determination of SWV together with serum BMP-7 may play an important role in the diagnosis of diabetic kidney disease.

A 3-biomarker-panel predicts renal outcome in patients with proteinuric renal diseases

BACKGROUND

Clinical and histological parameters are valid prognostic markers in renal disease, although they may show considerable interindividual variability and sometimes limited prognostic value. Novel molecular markers and pathways have the potential to increase the predictive prognostic value of the so called "traditional markers".

METHODS

Transcriptomics profiles from laser-capture microdissected proximal tubular epithelial cells from routine kidney biopsies were correlated with a chronic renal damage index score (CREDI), an inflammation score (INSCO), and clinical parameters. We used data from 20 renal biopsies with various proteinuric renal diseases with a median follow-up of 49 months (discovery cohort). For validation we performed microarrays from whole kidney biopsies from a second cohort consisting of 16 patients with a median follow-up time of 28 months (validation cohort).

RESULTS

562 genes correlated with the CREDI score and 285 genes correlated with the INSCO panel, respectively. 39 CREDI and 90 INSCO genes also correlated with serum creatinine at follow-up. After hierarchical clustering we identified 5 genes from the CREDI panel, and 10 genes from the INSCO panel, respectively, which showed kidney specific gene expression. After exclusion of genes, which correlated to each other by > 50% we identified VEGF-C from the CREDI panel and BMP7, THBS1, and TRIB1 from the INSCO panel. Traditional markers for chronic kidney disease progression and inflammation score predicted 44% of the serum creatinine variation at follow-up. VEGF-C did not further enhance the predictive value, but BMP7, THBS1 and TRIB1 together predicted 94% of the serum creatinine at follow up (p < 0.0001). The model was validated in a second cohort of patients yielding also a significant prediction of follow up creatinine (48%, p = 0.0115).

CONCLUSION

We identified and validated a panel of three genes in kidney biopsies which predicted serum creatinine at follow-up and therefore might serve as biomarkers for kidney disease progression.