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Osther PJ, Osther SS. Understanding intrarenal backflow: Intrarenal pressure during ureteroscopy and beyond. Asian J Urol 2024; 11:139-142. [PMID: 38680595 PMCID: PMC11053329 DOI: 10.1016/j.ajur.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Indexed: 05/01/2024] Open
Affiliation(s)
- Palle J.S. Osther
- Corresponding author. Urological Research Center, Department of Urology, Vejle Hospital (a part of Lillebaelt Hospital), University Hospital of Southern Denmark, Vejle, Denmark.
| | - Susanne S. Osther
- Urological Research Center, Department of Urology, Vejle Hospital (a part of Lillebaelt Hospital), University Hospital of Southern Denmark, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
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Bargagli M, Pinto F, De Leonardis R, Ragonese M, Totaro A, Recupero S, Vittori M, Bassi P, Gambaro G, Ferraro PM. Determinants of renal papillary appearance in kidney stone formers: An in-depth examination. Arch Ital Urol Androl 2023; 95:10748. [PMID: 36924385 DOI: 10.4081/aiua.2023.10748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/20/2022] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVES The aim of this study is to investi-gate the association between the urinary metabolic milieu and kidney stone recurrence with a validated papillary evaluation score (PPLA). MATERIALS AND METHODS We prospectively enrolled 30 stone for-mers who underwent retrograde intrarenal surgery procedures. Visual inspection of the accessible renal papillae was performed to calculate PPLA score, based on the characterization of ductal plugging, surface pitting, loss of papillary contour and Randall's plaque extension. Stone compositions, 24h urine collections and kidney stone events during follow-up were collected. Relative supersaturation ratios (RSS) for calcium oxalate (CaOx), brushite and uric acid were calculated using EQUIL-2. PPLA score > 3 was defined as high. RESULTS Median follow-up period was 11 months (5, 34). PPLA score was inversely correlated with BMI (OR 0.59, 95% CI 0.38, 0.91, p = 0.018), type 2 diabetes (OR 0.04, 95% CI 0.003, 0.58, p = 0.018) and history of recurrent kidney stones (OR 0.17, 95%CI 0.04, 0.75, p = 0.019). The associations between PPLA score, diabetes and BMI were not confirmed after excluding patients with uric acid stones. Higher PPLA score was associated with lower odds of new kidney stone events during follow-up (OR 0.15, 95% CI 0.02, 1.00, p = 0.05). No other significant correla-tions were found. CONCLUSIONS Our results confirm the lack of efficacy of PPLA score in phenotyping patients affected by kidney stone disease or in predicting the risk of stone recurrence. Larger, long-term studies need to be performed to clarify the role of PPLA on the risk of stone recurrence.
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Affiliation(s)
- Matteo Bargagli
- Dipartimento Universitario di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma; U.O.S. Terapia Conservativa della Malattia Renale Cronica, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma.
| | - Francesco Pinto
- U.O.C. Clinica Urologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma.
| | - Rossella De Leonardis
- Dipartimento Universitario di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma.
| | - Mauro Ragonese
- U.O.C. Clinica Urologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma.
| | - Angelo Totaro
- U.O.C. Clinica Urologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma.
| | | | - Matteo Vittori
- Department of Urology, San Carlo di Nancy Hospital, Rome.
| | - PierFrancesco Bassi
- Dipartimento Universitario di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma; U.O.C. Clinica Urologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma.
| | - Giovanni Gambaro
- Renal Unit, Department of Medicine, University-Hospital of Verona, Verona.
| | - Pietro Manuel Ferraro
- Dipartimento Universitario di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Roma; U.O.S. Terapia Conservativa della Malattia Renale Cronica, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma.
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Xia Y, Zhou X, Ye Z, Yu W, Ning J, Ruan Y, Yuan R, Lin F, Ye P, Zheng D, Rao T, Cheng F. Construction and Analysis of Immune Infiltration-Related ceRNA Network for Kidney Stones. Front Genet 2021; 12:774155. [PMID: 34938320 PMCID: PMC8686191 DOI: 10.3389/fgene.2021.774155] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 11/17/2021] [Indexed: 12/29/2022] Open
Abstract
Purpose: Kidney stones is a common medical issue that mediates kidney injury and even kidney function loss. However, the exact pathogenesis still remains unclear. This study aimed to explore the potential competing endogenous RNA (ceRNA)-related pathogenesis of kidney stones and identify the corresponding immune infiltration signature. Methods: One mRNA and one long non-coding RNA (lncRNA) microarray dataset was obtained from the GEO database. Subsequently, we compared differentially expressed mRNAs (DE-mRNAs) and lncRNAs between Randall's plaques in patients with calcium oxalate (CaOx) stones and controls with normal papillary tissues. lncRNA-targeted miRNAs and miRNA-mRNA pairs were predicted using the online databases. lncRNA-related DE-mRNAs were identified using the Venn method, and GO and KEGG enrichment analyses were subsequently performed. The immune-related lncRNA-miRNA-mRNA ceRNA network was developed. The CIBERSORT algorithm was used to estimate the rate of immune cell infiltration in Randall's plaques. The ceRNA network and immune infiltration were validated in the glyoxylate-induced hyperoxaluric mouse model and oxalate-treated HK-2 cells. Results: We identified 2,340 DE-mRNAs and 929 DE-lncRNAs between Randall's plaques in patients with CaOx stones and controls with normal papillary tissues. lncRNA-related DE-mRNAs were significantly enriched in extracellular matrix organization and collagen-containing extracellular matrix, which were associated with kidney interstitial fibrosis. The immune-related ceRNA network included 10 lncRNAs, 23 miRNAs, and 20 mRNAs. Moreover, we found that M2 macrophages and resting mast cells were differentially expressed between Randall's plaques and normal tissues. Throughout kidney stone development, kidney tubular injury, crystal deposition, collagen fiber deposition, TGF-β expression, infiltration of M1 macrophages, and activation of mast cells were more frequent in glyoxylate-induced hyperoxaluric mice compared with control mice. Nevertheless, M2 macrophage infiltration increased in early stages (day 6) and decreased as kidney stones progressed (day 12). Furthermore, treatment with 0.25 and 0.5 mM of oxalate for 48 h significantly upregulated NEAT1, PVT1, CCL7, and ROBO2 expression levels and downregulated hsa-miR-23b-3p, hsa-miR-429, and hsa-miR-139-5p expression levels in the HK-2 cell line in a dose-dependent manner. Conclusion: We found that significant expressions of ceRNAs (NEAT1, PVT1, hsa-miR-23b-3p, hsa-miR-429, hsa-miR-139-5p, CCL7, and ROBO2) and infiltrating immune cells (macrophages and mast cells) may be involved in kidney stone pathogenesis. These findings provide novel potential therapeutic targets for kidney stones.
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Affiliation(s)
- Yuqi Xia
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xiangjun Zhou
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zehua Ye
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Weimin Yu
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jinzhuo Ning
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yuan Ruan
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Run Yuan
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Fangyou Lin
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Peng Ye
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Di Zheng
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ting Rao
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Fan Cheng
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China
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Almeras C, Pradere B, Estrade V, Meria P, French Urological Association OBOTLCOT. Endoscopic Papillary Abnormalities and Stone Recognition (EPSR) during Flexible Ureteroscopy: A Comprehensive Review. J Clin Med 2021; 10:jcm10132888. [PMID: 34209668 PMCID: PMC8267668 DOI: 10.3390/jcm10132888] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 06/18/2021] [Accepted: 06/26/2021] [Indexed: 12/29/2022] Open
Abstract
Introduction: The increasing efficiency of the different lasers and the improved performance of endoscopic devices have led to smaller stone fragments that impact the accuracy of microscopic evaluation (morphological and infrared). Before the stone destruction, the urologist has the opportunity to analyze the stone and the papillary abnormalities endoscopically (endoscopic papillary recognition (EPR) and endoscopic stone recognition (ESR)). Our objective was to evaluate the value for those endoscopic descriptions. Methods: The MEDLINE and EMBASE databases were searched in February 2021 for studies on endoscopic papillary recognition and endoscopic stone recognition. Results: If the ESR provided information concerning the main crystallization process, EPR provided information concerning the origin of the lithogenesis and its severity. Despite many actual limitations, those complementary descriptions could support the preventive care of the stone formers in improving the diagnosis of the lithogenesis mechanism and in identifying high-risk stone formers. Conclusion: Until the development of an Artificial Intelligence recognition, the endourologist has to learn EPSR to minimize the distortion effect of the new lasers on the stone analysis and to improve care efficiency of the stone formers patients.
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Affiliation(s)
- Christophe Almeras
- Department of Urology, La Croix du Sud Clinic-RGDS, UroSud, 52 bis Chemin de Ribaute, Boite 301, 31130 Quint Fonsegrives, France
- French Urological Association (AFU), La Maison de l’Urologie, 11 rue Viète, 31017 Paris, France; (V.E.); (P.M.);
- Correspondence: ; Tel.: +33-53-202-7202; Fax: +33-53-202-7203
| | - Benjamin Pradere
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria;
| | - Vincent Estrade
- French Urological Association (AFU), La Maison de l’Urologie, 11 rue Viète, 31017 Paris, France; (V.E.); (P.M.);
- Department of Urology, CHU Pellegrin, 33300 Bordeaux, France
| | - Paul Meria
- French Urological Association (AFU), La Maison de l’Urologie, 11 rue Viète, 31017 Paris, France; (V.E.); (P.M.);
- Department of Urology, Saint Louis Hospital, Denis Diderot University, 75010 Paris, France
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Fernandez K, Korinek M, Camp J, Lieske J, Holmes D. Automatic detection of calcium phosphate deposit plugs at the terminal ends of kidney tubules. Healthc Technol Lett 2019; 6:271-274. [PMID: 32038870 PMCID: PMC6952263 DOI: 10.1049/htl.2019.0086] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 10/02/2019] [Indexed: 11/20/2022] Open
Abstract
Kidney stones are a common urologic condition with a high amount of recurrence. Recurrence depends on a multitude of factors the incidence of precursors to kidney stones, plugs, and plaques. One method of characterising the stone precursors is endoscopic assessment, though it is manual and time-consuming. Deep learning has become a popular technique for semantic segmentation because of the high accuracy that has been demonstrated. The present Letter examined the efficacy of deep learning to segment the renal papilla, plaque, and plugs. A U-Net model with ResNet-34 encoder was tested; the Letter examined dropout (to avoid overtraining) and two different loss functions (to address the class imbalance problem. The models were then trained in 1666 images and tested on 185 images. The Jaccard-cross-entropy loss function was more effective than the focal loss function. The model with the dropout rate 0.4 was found to be more effective due to its generalisability. The model was largely successful at delineating the papilla. The model was able to correctly detect the plaques and plugs; however, small plaques were challenging. Deep learning was found to be applicable for segmentation of an endoscopic image for the papilla, plaque, and plug, with room for improvement.
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Affiliation(s)
- Katrina Fernandez
- Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA
- University of Minnesota, Minneapolis, MN, USA
| | - Mark Korinek
- Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA
| | - Jon Camp
- Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA
| | - John Lieske
- Department of Nephrology & Hypertension, Mayo Clinic, Rochester, MN, USA
| | - David Holmes
- Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA
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