The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Design of the Nephrotic Syndrome Study Network (NEPTUNE) to evaluate primary glomerular nephropathy by a multidisciplinary approach
Open accessAbstract
The Nephrotic Syndrome Study Network (NEPTUNE) is a North American multi-center collaborative consortium established to develop a translational research infrastructure for Nephrotic Syndrome. This includes a longitudinal observational cohort study, a pilot and ancillary studies program, a training program, and a patient contact registry. NEPTUNE will enroll 450 adults and children with minimal change disease, focal segmental glomerulosclerosis and membranous nephropathy for detailed clinical, histopathologic, and molecular phenotyping at the time of clinically-indicated renal biopsy. Initial visits will include an extensive clinical history, physical examination, collection of urine, blood and renal tissue samples, and assessments of quality of life and patient-reported outcomes. Follow-up history, physical measures, urine and blood samples, and questionnaires will be obtained every 4 months in the first year and bi-annually, thereafter. Molecular profiles and gene expression data will be linked to phenotypic, genetic, and digitalized histologic data for comprehensive analyses using systems biology approaches. Analytical strategies were designed to transform descriptive information to mechanistic disease classification for Nephrotic Syndrome and to identify clinical, histological, and genomic disease predictors. Thus, understanding the complexity of the disease pathogenesis will guide further investigation for targeted therapeutic strategies.
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Statistical Methods in Diagnostic Medicine
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A Working Group of the International IgA Nephropathy Network and the Renal Pathology Society, Cattran, D. C., Coppo, R., Cook, H. T., Feehally, J., Roberts, I. S. D., Troyanov, S., Alpers, C. E., Amore, A., Barratt, J., et al. (2009) · Kidney International · doi:10.1038/ki.2009.243 · Cited by 1,235
Self-citationStatistical Methods in Diagnostic Medicine
Zhou, X., Obuchowski, N. A., & McClish, D. K. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9780470317082 · Cited by 1,165
US Renal Data System 2011 Annual Data Report
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MYH9 is a major-effect risk gene for focal segmental glomerulosclerosis
Kopp, J. B., Smith, M. W., Nelson, G. W., Johnson, R. C., Freedman, B. I., Bowden, D. W., Oleksyk, T., McKenzie, L. M., Kajiyama, H., Ahuja, T. S., et al. (2008) · Nature Genetics · doi:10.1038/ng.226 · Cited by 711
Self-citationTzur, S., Rosset, S., Shemer, R., Yudkovsky, G., Selig, S., Tarekegn, A., Bekele, E., Bradman, N., Wasser, W. G., Behar, D. M., et al. (2010) · Human Genetics · doi:10.1007/s00439-010-0861-0 · Cited by 653
Cited by
Ju, W., Nair, V., Smith, S., Zhu, L., Shedden, K., Song, P. X. K., Mariani, L. H., Eichinger, F. H., Berthier, C. C., Randolph, A., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aac7071 · Cited by 426
Self-citationDigital pathology and computational image analysis in nephropathology
Barisoni, L., Lafata, K. J., Hewitt, S. M., Madabhushi, A., & Balis, U. G. J. (2020) · Nature Reviews Nephrology · doi:10.1038/s41581-020-0321-6 · Cited by 264
Self-citationFloege, J., Barbour, S. J., Cattran, D. C., Hogan, J. J., Nachman, P. H., Tang, S. C. W., Wetzels, J. F. M., Cheung, M., Wheeler, D. C., Winkelmayer, W. C., et al. (2019) · Kidney International · doi:10.1016/j.kint.2018.10.018 · Cited by 263
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Metadata
- Authors
- Gadegbeku, C. A., Gipson, D. S., Holzman, L. B., Ojo, A. O., Song, P. X. K., Barisoni, L., Sampson, M. G., Kopp, J. B., Lemley, K. V., Nelson, P. J., Lienczewski, C. C., Adler, S. G., Appel, G. B., Cattran, D. C., Choi, M. J., Contreras, G., Dell, K. M., Fervenza, F. C., Gibson, K. L., Greenbaum, L. A., Hernandez, J. D., Hewitt, S. M., Hingorani, S. R., Hladunewich, M., Hogan, M. C., Hogan, S. L., Kaskel, F. J., Lieske, J. C., Meyers, K. E. C., Nachman, P. H., Nast, C. C., Neu, A. M., Reich, H. N., Sedor, J. R., Sethna, C. B., Trachtman, H., Tuttle, K. R., Zhdanova, O., Zilleruelo, G. E., & Kretzler, M.
- Venue
- Kidney International
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 83
- Issue
- 4
- Pages
- 749-756
- ISSN
- 0085-2538 (ISSN-L)
- OpenAlex
- W1987380823
- Cited by
- 342
- References
- 34
- FWCI
- 13.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Design of the Nephrotic Syndrome Study Network (NEPTUNE) to evaluate primary glomerular nephropathy by a multidisciplinary approach. https://app.cochat.ai/papers/10.1038/ki.2012.428
- The paper
- Gadegbeku, C. A., Gipson, D. S., Holzman, L. B., Ojo, A. O., Song, P. X. K., Barisoni, L., Sampson, M. G., Kopp, J. B., Lemley, K. V., Nelson, P. J., Lienczewski, C. C., Adler, S. G., Appel, G. B., Cattran, D. C., Choi, M. J., Contreras, G., Dell, K. M., Fervenza, F. C., Gibson, K. L., . . . Kretzler, M. (2013). Design of the Nephrotic Syndrome Study Network (NEPTUNE) to evaluate primary glomerular nephropathy by a multidisciplinary approach. Kidney International. https://doi.org/10.1038/ki.2012.428
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
