Identification of aberrant glycosylation of osteopontin in urinary stone former patients as a urolithiasis biomarker

2019 ◽  
Vol 18 (1) ◽  
pp. e268-e269
Author(s):  
G. Anan ◽  
T. Yoneyama ◽  
Y. Tobisawa ◽  
S. Hatakeyama ◽  
M. Yoneyama ◽  
...  
2019 ◽  
Vol 201 (Supplement 4) ◽  
Author(s):  
Go Anan* ◽  
Tohru Yoneyama ◽  
Yuki Tobisawa ◽  
Shingo Hatakeyama ◽  
Mihoko Yoneyama ◽  
...  

2021 ◽  
Vol 206 (Supplement 3) ◽  
Author(s):  
Go Anan ◽  
Tohru Yoneyama ◽  
Daisuke Noro ◽  
Yuki Tobisawa ◽  
Shingo Hatakeyama ◽  
...  

2015 ◽  
Vol 22 (2) ◽  
Author(s):  
Tommie Prasetyo ◽  
Ponco Birowo ◽  
Nur Rasyid

Objective: We were comparing the urinary stone risk profiles in stone former subjects group with normal population (non stone-former) group. Material & method: In this study, each group consist of 10 subjects. Urine samples used was a 24-hour-urine. All subjects in this study were previously informed and voluntarily participating. Inclusion criteria in this study were adult, stone free, residing in Jakarta. Measurement was performed in Department of Molecular Biology and Biochemistry Faculty of Medicine Indonesia University. Statistical analysis was performed using SPSS 20 (Chicago, USA) with Student’s t-test or Mann-Whitney (p < 0.05 was considered significant). Results: There was a significant difference in the mean age of two groups with no significant difference in weight and height. Significant difference (p < 0.05) in urinary profile was found in urea, uric acid, chloride, potassium, phosphate, and ammonia. Conversely, we found no significant differences (p > 0.05) in sodium, creatinine, calcium, magnesium, oxalate, and citrate levels. Conclusion: There were no significant differences in urinary stone promoting and inhibiting factors between two groups. Bigger number of sample size with better sampling method must be conducted for future studies.


2021 ◽  
Vol 79 ◽  
pp. S321-S323
Author(s):  
G. Anan ◽  
T. Yoneyama ◽  
D. Noro ◽  
Y. Tobisawa ◽  
S. Hatakeyama ◽  
...  

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2180
Author(s):  
Wen-Yaw Chung ◽  
Roozbeh Falah Ramezani ◽  
Angelito A. Silverio ◽  
Vincent F. Tsai

In this paper, we present an Internet of things (IoT)-based data collection system for the risk assessment of urinary stone formation, or urolithiasis, by the measurement and storage of four parameters in urine: pH, concentrations of ionized calcium (Ca2+), uric acid and total dissolved solids. The measurements collected by the system from patients and healthy individuals grouped by age and gender will be stored in a cloud database. These will be used in the training phase of an artificial intelligence (AI) machine learning process utilizing the logistics regression model. The trained model provides a binary risk assessment, indicating if the end user is either a stone-former or not. For system validation, standard chemical solutions were used. Preliminary results indicated a sufficient measurement range, falling within the physiological range, and resolution for pH (2.0–10.0, +/−0.1), Ca2+(0.1–3.0 mmol/l, +/−0.05), uric acid (20–500 ppm, +/−1) and conductivity (1.0–40.0 mS/cm, +/−0.1), exhibiting high correlation with standard instruments. We intend to deploy this system in few hospitals in Taiwan to collect the data of patients’ urine, with analysis aided by urologist assessments for the risk of urolithiasis. The modularized design allows future modification and expansion to accommodate other sensing analytes.


Urolithiasis ◽  
2020 ◽  
Author(s):  
James C. Williams ◽  
Giovanni Gambaro ◽  
Allen Rodgers ◽  
John Asplin ◽  
Olivier Bonny ◽  
...  

Abstract The Consensus Group deliberated on a number of questions concerning urine and stone analysis over a period of months, and then met to develop consensus. The Group concluded that analyses of urine and stones should be routine in the diagnosis and treatment of urinary stone diseases. At present, the 24-h urine is the most useful type of urine collection, and accepted methods for analysis are described. Patient education is also important for obtaining a proper urine sample. Graphical methods for reporting urine analysis results can be helpful both for the physician and for educating the patient as to proper dietary changes that could be beneficial. Proper analysis of stones is also essential for diagnosis and management of patients. The Consensus Group also agreed that research has shown that evaluation of urinary crystals could be very valuable, but the Group also recognizes that existing methods for assessment of crystalluria do not allow this to be part of stone treatment in many places.


2020 ◽  
Vol 14 (2) ◽  
pp. 59-63
Author(s):  
Athar Hameed ◽  
Khazir Hayyat Gondal

Background: Renal stones represent a common urological pathology where standard treatment advised is ESWL in current practice. However, NCCT based determination of stone fragility may help to predict the outcome of ESWL treatment, hence optimizing its clinical use. Therefore, this study evaluated the role of NCCT determined urinary stone fragility in predicting the outcome of ESWL treatment in local clinical settings. Patients and methods: One hundred patients with single renal calculus of 0.6-2 cm in size were included. NCCT based determination of stone fragility in HU units was done for all patients. Patients were then subjected to ESWL, with a maximum of 3000 shock waves given per ESWL session. Plain film and/or ultrasonography was used to monitor ESWL treatment progress with a final NCCT evaluation at 12 weeks to determine the clearance of the calculi for each patient. Association of NCCT based stone fragility and outcome of ESWL was statistically analyzed using Fisher exact test. Results: The mean age of the patients was 37.7 ± 10.9 years with 54% being male. Decreasing stone fragility on NCCT (high = <500HU, moderate = 500-1000HU, and high = 1000HU) required more number and intensity of ESWL sessions (1-2 visits and 3000-6000 shock waves for high stone fragility group, 3-5 visits and 7000-18000 shock waves for the moderate group, and 6 visits and >18000 shock waves for low fragility group, respectively) necessary for clearance of urinary stones (p<0.001). In 98% of patients, the clearance of urinary stones was excellent. Conclusion: Renal stone patients with NCCT determined high and moderate stone fragility show an optimal response after ESWL treatment, whereas, for low fragility renal stones attenuative treatment like percutaneous nephrolithotomy and/or ureteroscopy should be considered instead of ESWL. This approach can enable patient stratification before ESWL therapy ensuring better clinical management of the renal stone disease.


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