Concomitance of IgA nephropathy and diabetic nephropathy in a kidney allograft: case report and review of the literature

Concurrent Post-Transplantation Diabetes Mellitus in Renal Allograft Recipients With Immunoglobulin A Nephropathy

BACKGROUND

The prevalence of post-transplantation immunoglobulin A nephropathy (PTIgAN) and diabetes mellitus (PTDM) increases with time after transplantation, and recognition and management of these conditions is becoming more important in renal allograft recipients as graft survival increases.

METHODS

We explored the influence of concurrent PTDM on renal allograft histology and function in 111 cases with PTIgAN diagnosed from 2000 to 2010 at our institution.

RESULTS

Sixteen patients (14.4%) had PTDM at the time of diagnosis of PTIgAN, which increased to 28 patients (25.2%) at the last follow-up (10.4 years after transplantation). Donor ages were younger in PTIgAN patients with concurrent PTDM. However, other clinical and demographic data were not significantly different between PTIgAN patients with and without PTDM. Histologically, Banff "mm" scores were higher and "M1" of the Oxford classification was more frequent in PTIgAN patients with concurrent PTDM than in patients without PTDM, but the difference did not reach statistical significance. Serum creatinine levels and proteinuria at the time of biopsy and overall graft survival did not vary according to the presence of PTDM both at biopsy and at the last follow-up.

CONCLUSIONS

Concurrent PTDM does not significantly influence graft function or outcome for 10 years after transplantation in PTIgAN patients.

Omics databases on kidney disease: where they can be found and how to benefit from them

In the recent decades, the evolution of omics technologies has led to advances in all biological fields, creating a demand for effective storage, management and exchange of rapidly generated data and research discoveries. To address this need, the development of databases of experimental outputs has become a common part of scientific practice in order to serve as knowledge sources and data-sharing platforms, providing information about genes, transcripts, proteins or metabolites. In this review, we present omics databases available currently, with a special focus on their application in kidney research and possibly in clinical practice. Databases are divided into two categories: general databases with a broad information scope and kidney-specific databases distinctively concentrated on kidney pathologies. In research, databases can be used as a rich source of information about pathophysiological mechanisms and molecular targets. In the future, databases will support clinicians with their decisions, providing better and faster diagnoses and setting the direction towards more preventive, personalized medicine. We also provide a test case demonstrating the potential of biological databases in comparing multi-omics datasets and generating new hypotheses to answer a critical and common diagnostic problem in nephrology practice. In the future, employment of databases combined with data integration and data mining should provide powerful insights into unlocking the mysteries of kidney disease, leading to a potential impact on pharmacological intervention and therapeutic disease management.