Unbiased kidney-centric molecular categorization of chronic kidney disease as a step towards precision medicine.

Current classification of chronic kidney disease (CKD) into stages using indirect systemic measures (estimated glomerular filtration rate (eGFR) and albuminuria) is agnostic to the heterogeneity of underlying molecular processes in the kidney thereby limiting precision medicine approaches. To generate a novel CKD categorization that directly reflects within kidney disease drivers we analyzed publicly available transcriptomic data from kidney biopsy tissue. A Self-Organizing Maps unsupervised artificial neural network machine-learning algorithm was used to stratify a total of 369 patients with CKD and 46 living kidney donors as healthy controls. Unbiased stratification of the discovery cohort resulted in identification of four novel molecular categories of disease termed CKD-Blue, CKD-Gold, CKD-Olive, CKD-Plum that were replicated in independent CKD and diabetic kidney disease datasets and can be further tested on any external data at kidneyclass.org. Each molecular category spanned across CKD stages and histopathological diagnoses and represented transcriptional activation of distinct biological pathways. Disease progression rates were highly significantly different between the molecular categories. CKD-Gold displayed rapid progression, with significant eGFR-adjusted Cox regression hazard ratio of 5.6 [1.01-31.3] for kidney failure and hazard ratio of 4.7 [1.3-16.5] for composite of kidney failure or a 40% or more eGFR decline. Urine proteomics revealed distinct patterns between the molecular categories, and a 25-protein signature was identified to distinguish CKD-Gold from other molecular categories. Thus, patient stratification based on kidney tissue omics offers a gateway to non-invasive biomarker-driven categorization and the potential for future clinical implementation, as a key step towards precision medicine in CKD.

Renal Pre-Competitive Consortium (RPC2): discovering therapeutic targets together.

Despite significant effort, patients with kidney disease have not seen their outcomes improved significantly over the past two decades. This has motivated clinicians and researchers to consider alternative methods to identifying risk factors, disease progression markers, and effective therapies. Genome-scale data sets from patients with renal disease can be used to establish a platform to improve understanding of the molecular basis of disease; however, such studies require expertise and resources. To overcome these challenges, we formed an academic-industry consortium to share molecular target identification efforts and expertise across academia and the pharmaceutical industry. The Renal Pre-Competitive Consortium (RPC2) aims to accelerate novel drug development for kidney diseases through a systems biology approach. Here, we describe the rationale, philosophy, establishment, and initial results of this strategy.

5-(2-Pyrimidinyl)-imidazo[1,2-a]pyridines are antibacterial agents targeting the ATPase domains of DNA gyrase and topoisomerase IV.

Dual inhibitors of bacterial gyrB and parE based on a 5-(2-pyrimidinyl)-imidazo[1,2-a]pyridine template exhibited MICs (microg/mL) of 0.06-64 (Sau), 0.25-64 (MRSA), 0.06-64 (Spy), 0.06-64 (Spn), and 0.03-64 (FQR Spn). Selected examples were efficacious in mouse sepsis and lung infection models at <50mg/kg (PO dosing).

Streptococcus pneumononiae gyrase ATPase: development and validation of an assay for inhibitor discovery and characterization.

The rise in bacterial resistance to antibiotics demonstrates the medical need for new antibacterial agents. One approach to this problem is to identify new antibacterials that act through validated drug targets such as bacterial DNA gyrase. DNA gyrase uses the energy of ATP hydrolysis to introduce negative supercoils into plasmid and chromosomal DNA and is essential for DNA replication. Inhibition of the ATPase activity of DNA gyrase is the mechanism by which coumarin-class antibiotics such as novobiocin inhibit bacterial growth. Although ATPase inhibitors exhibit potent antibacterial activity against gram-positive pathogens, no gyrase ATPase activity from a gram-positive organism is described in the literature. To address this, we developed and optimized an enzyme-coupled phosphate assay and used this assay to characterize the ATPase kinetics of Streptococcus pneumoniae gyrase. The S. pneumoniae enzyme exhibits cooperativity with ATP and requires organic potassium salts. We also studied inhibition of the enzyme by novobiocin. Apparent inhibition constants for novobiocin increased linearly with ATP concentration, indicative of an ATP-competitive mechanism. Similar binding affinities were measured by isothermal titration calorimetry. These results reveal unique features of the S. pneumoniae DNA gyrase ATPase and demonstrate the utility of the assay for screening and kinetic characterization of ATPase inhibitors.

Purification and characterization of recombinant Staphylococcus haemolyticus DNA gyrase and topoisomerase IV expressed in Escherichia coli.

The subunits of DNA gyrase and topoisomerase IV from Staphylococcus haemolyticus were expressed in Escherichia coli, purified to homogeneity, and used to reconstitute active enzymes that were sensitive to known topoisomerase inhibitors. This represents the first description of a method for isolating type II topoisomerases of a coagulase-negative staphylococcal species.