PURPOSE OF REVIEW: Traditional histopathology of the kidney biopsy specimen has been an essential and successful tool for the diagnosis and staging of kidney diseases. However, it is likely that the full potential of the kidney biopsy has not been tapped so far. Indeed, there is now a concerted worldwide effort to interrogate kidney biopsy samples at the cellular and molecular levels with unprecedented rigor and depth. This review examines these novel approaches to study kidney biopsy specimens and highlights their potential to refine our understanding of the pathophysiology of kidney disease and lead to precision-based diagnosis and therapy. RECENT FINDINGS: Several consortia are now active at studying kidney biopsy samples from various patient cohorts with state-of-the art cellular and molecular techniques. These include advanced imaging approaches as well as deep molecular interrogation with tools such as epigenetics, transcriptomics, proteomics and metabolomics. The emphasis throughout is on rigor, reproducibility and quality control. SUMMARY: Although these techniques to study kidney biopsies are complementary, each on its own can yield novel ways to define and classify kidney disease. Therefore, great efforts are needed in order to generate an integrated output that can propel the diagnosis and treatment of kidney disease into the realm of precision medicine.
PURPOSE OF REVIEW: Traditional histopathology of the kidney biopsy specimen has been an essential and successful tool for the diagnosis and staging of kidney diseases. However, it is likely that the full potential of the kidney biopsy has not been tapped so far. Indeed, there is now a concerted worldwide effort to interrogate kidney biopsy samples at the cellular and molecular levels with unprecedented rigor and depth. This review examines these novel approaches to study kidney biopsy specimens and highlights their potential to refine our understanding of the pathophysiology of kidney disease and lead to precision-based diagnosis and therapy. RECENT FINDINGS: Several consortia are now active at studying kidney biopsy samples from various patient cohorts with state-of-the art cellular and molecular techniques. These include advanced imaging approaches as well as deep molecular interrogation with tools such as epigenetics, transcriptomics, proteomics and metabolomics. The emphasis throughout is on rigor, reproducibility and quality control. SUMMARY: Although these techniques to study kidney biopsies are complementary, each on its own can yield novel ways to define and classify kidney disease. Therefore, great efforts are needed in order to generate an integrated output that can propel the diagnosis and treatment of kidney disease into the realm of precision medicine.
Authors: Rajasree Menon; Edgar A Otto; Paul Hoover; Sean Eddy; Laura Mariani; Bradley Godfrey; Celine C Berthier; Felix Eichinger; Lalita Subramanian; Jennifer Harder; Wenjun Ju; Viji Nair; Maria Larkina; Abhijit S Naik; Jinghui Luo; Sanjay Jain; Rachel Sealfon; Olga Troyanskaya; Nir Hacohen; Jeffrey B Hodgin; Matthias Kretzler; Kidney Precision Medicine Project Kpmp Journal: JCI Insight Date: 2020-03-26
Authors: Philip J O'Connell; Weijia Zhang; Madhav C Menon; Zhengzi Yi; Bernd Schröppel; Lorenzo Gallon; Yi Luan; Ivy A Rosales; Yongchao Ge; Bojan Losic; Caixia Xi; Christopher Woytovich; Karen L Keung; Chengguo Wei; Ilana Greene; Jessica Overbey; Emilia Bagiella; Nader Najafian; Milagros Samaniego; Arjang Djamali; Stephen I Alexander; Brian J Nankivell; Jeremy R Chapman; Rex Neal Smith; Robert Colvin; Barbara Murphy Journal: Lancet Date: 2016-07-22 Impact factor: 79.321
Authors: Julia Kennedy-Darling; Salil S Bhate; John W Hickey; Sarah Black; Graham L Barlow; Gustavo Vazquez; Vishal G Venkataraaman; Nikolay Samusik; Yury Goltsev; Christian M Schürch; Garry P Nolan Journal: Eur J Immunol Date: 2021-02-06 Impact factor: 5.532
Authors: Matthew B Palmer; Amin Abedini; Casey Jackson; Shira Blady; Shatakshee Chatterjee; Katie Marie Sullivan; Raymond R Townsend; Jens Brodbeck; Salem Almaani; Anand Srivastava; Rupali Avasare; Michael J Ross; Amy K Mottl; Christos Argyropoulos; Jonathan Hogan; Katalin Susztak Journal: Kidney Int Rep Date: 2021-02-03
Authors: Anjali A Satoskar; John P Shapiro; Mikayla Jones; Cherri Bott; Samir V Parikh; Sergey V Brodsky; Lianbo Yu; Haikady N Nagaraja; Daniel W Wilkey; Michael L Merchant; Jon B Klein; Tibor Nadasdy; Brad H Rovin Journal: Sci Rep Date: 2020-10-14 Impact factor: 4.379
Authors: Catherine P Jayapandian; Yijiang Chen; Andrew R Janowczyk; Matthew B Palmer; Clarissa A Cassol; Miroslav Sekulic; Jeffrey B Hodgin; Jarcy Zee; Stephen M Hewitt; John O'Toole; Paula Toro; John R Sedor; Laura Barisoni; Anant Madabhushi Journal: Kidney Int Date: 2020-08-22 Impact factor: 10.612