Automated quantification of renal fibrosis with Sirius Red and polarization contrast microscopy

Interstitial fibrosis is commonly measured by histology. The Masson trichrome stain is widely used, with semiquantitative scores subjectively assigned by trained operators. We have developed an objective technique combining Sirius Red staining, polarization contrast microscopy, and automated analysis. Repeated analysis of the same sections by the same operator (r = 0.99) or by different operators (r = 0.98) was highly consistent for Sirius Red, while Masson trichrome performed less consistently (r = 0.61 and 0.72, respectively). These techniques performed equally well when comparing sections from the left and right kidneys of mice. Poor correlation between Sirius Red and Masson trichrome may reflect different specificities, as enhanced birefringence with Sirius Red staining is specific for collagen type I and III fibrils. Combining whole‐section imaging and automated image analysis with Sirius Red/polarization contrast is a rapid, reproducible, and precise technique that is complementary to Masson trichrome. It also prevents biased selection of fields as fibrosis is measured on the entire kidney section. This new tool shall enhance our search for novel therapeutics and noninvasive biomarkers for fibrosis.

[1]  Kent Doi,et al.  Pre-existing renal disease promotes sepsis-induced acute kidney injury and worsens outcome. , 2008, Kidney international.

[2]  R. Colvin,et al.  Renal interstitial fibrosis: mechanisms and evaluation , 2012, Current opinion in nephrology and hypertension.

[3]  J. F. Woessner,et al.  The determination of hydroxyproline in tissue and protein samples containing small proportions of this imino acid. , 1961, Archives of biochemistry and biophysics.

[4]  R. Harris,et al.  Sirt1 activation protects the mouse renal medulla from oxidative injury. , 2010, The Journal of clinical investigation.

[5]  K. Okita,et al.  Correlation Between Stellate Cell Activation and Serum Fibrosis Markers in Choline-Deficient l-Amino Acid-Defined Diet-Induced Rat Liver Fibrosis , 2000, Digestive Diseases and Sciences.

[6]  Johannes E. Schindelin,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.

[7]  E.E. Pissaloux,et al.  Image Processing , 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.

[8]  P. Nickerson,et al.  Computerized image analysis of Sirius Red-stained renal allograft biopsies as a surrogate marker to predict long-term allograft function. , 2003, Journal of the American Society of Nephrology : JASN.

[9]  R. Lillie Further Experiments with the Masson Trichrome Modification of Mallory's Connective Tissue Stain , 1940 .

[10]  Alton B Farris,et al.  Morphometric and visual evaluation of fibrosis in renal biopsies. , 2011, Journal of the American Society of Nephrology : JASN.

[11]  J. Mehta,et al.  Deletion of LOX-1 attenuates renal injury following angiotensin II infusion. , 2009, Kidney international.

[12]  R. Kloner,et al.  Quantitative assessment of myocardial collagen with picrosirius red staining and circularly polarized light , 1994, Basic Research in Cardiology.

[13]  R. Brentani,et al.  Picrosirius staining plus polarization microscopy, a specific method for collagen detection in tissue sections , 1979, The Histochemical Journal.

[14]  R. Brentani,et al.  Differential staining of collagens type I, II and III by Sirius Red and polarization microscopy. , 1978, Archivum histologicum Japonicum = Nihon soshikigaku kiroku.

[15]  Thomas S. Huang,et al.  Image processing , 1971 .

[16]  Enrico Rossi,et al.  Image analysis of liver collagen using sirius red is more accurate and correlates better with serum fibrosis markers than trichrome , 2013, Liver international : official journal of the International Association for the Study of the Liver.

[17]  H. Puchtler,et al.  Polarization microscopic studies of connective tissue stained with picro-sirius red FBA. , 1973, Beitrage zur Pathologie.