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Yu, Alan S.L.

https://orcid.org/0000-0002-1776-2533

Mayo Clinic

University of Kansas Medical Center

Citations 23

Volume Progression and Imaging Classification of Polycystic Liver in ADPKD
Bae, Kyongtae T., Tao, Cheng , Feldman, Robert , Chapman, Arlene B., Brosnahan, Godela , Steinman, Theodore I., Braun, William E. , Mrug, Michal , Landsittel, Douglas , Yu, Alan S.L. , Torres, Vicente E. , Perrone, Ronald D. , Bennett, William M. , Harris, Peter C. , Abebe, Kaleab Z

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 31 | Issue: 10S | Pages: 500-500

10.1681/asn.20203110s1500c Get It

Overweight and Obesity Are Predictors of Pain in the HALT-PKD Studies
You, Zhiying , Brosnahan, Godela , Miskulin, Dana C. , Steinman, Theodore I., Braun, William E. , Chapman, Arlene B., Chonchol, Michel , Study, HALT-PKD, Wang, Wei Qiang , Gitomer, Berenice Y , Harris, Peter C. , Torres, Vicente E. , Abebe, Kaleab Z , Yu, Alan S.L. , Perrone, Ronald D. , Nowak, Kristen L. , Study, HALT-PKD

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 31 | Issue: 10S | Pages: 500-500

10.1681/asn.20203110s1500a Get It

PKD1 Compared with PKD2 Genotype and Cardiac Hospitalizations in the HALT-PKD Studies
You, Zhiying , Brosnahan, Godela , Steinman, Theodore I., Braun, William E. , Chapman, Arlene B., Chonchol, Michel , Steele, Cortney , Gitomer, Berenice Y , Harris, Peter C. , Torres, Vicente E. , Abebe, Kaleab Z , Yu, Alan S.L. , Perrone, Ronald D. , Nowak, Kristen L.

Journal of the American Society of Nephrology | May 17, 2024 | Volume: 31 | Issue: 10S | Pages: 488-488

10.1681/asn.20203110s1488a Get It

The lonidamine derivative H2-gamendazole reduces cyst formation in polycystic kidney disease
Sundar, Shirin V., Zhou, Julie , Magenheimer, Brenda S., Reif, Gail A. , Georg, Gunda I. , Jakkaraj, Sudhakar , Tash, Joseph S. , Yu, Alan S.L. , Calvet, James P. , Zhou, Julie Xia, Wallace, Darren P , Yu, Alan S L , Li, Xiaogang , Calvet, James P , Wallace, Darren P. , Li, Xiaogang

American Journal of Physiology-Renal Physiology | August 18, 2022 | Volume: 323 | Issue: 4 | Pages: F492-F506

10.1152/ajprenal.00095.2022 Get It

Autosomal dominant polycystic kidney disease (ADPKD) is a renal neoplastic disorder characterized by the formation of large fluid-filled cysts that develop from kidney tubules through abnormal cell proliferation and cyst-filling fluid secretion driven by cAMP-dependent Cl − secretion. This study shows that the lonidamine derivative H2-GMZ inhibits Cl − secretion, cell proliferation, and cyst growth, suggesting that it might have therapeutic value for the treatment of ADPKD.
Volume Progression and Imaging Classification of Polycystic Liver in Early Autosomal Dominant Polycystic Kidney Disease
Bae, Kyongtae T., Tao, Cheng, Feldman, Robert, Yu, Alan S.L. , Torres, Vicente E., Perrone, Ronald D. , Chapman, Arlene B., Brosnahan, Godela, Steinman, Theodore I., Braun, William E., Mrug, Michal, Bennett, William M., Harris, Peter C., Srivastava, Avantika, Landsittel, Douglas P., Abebe, Kaleab Z., Harris, Peter C. , Torres, Vicente E. , Harris, Peter C , Torres, Vicente E , Yu, Alan S L , Torres, Vicente E , Bae, Kyongtae T., Tao, Cheng, Feldman, Robert, Torres, Vicente E., Chapman, Arlene B., Brosnahan, Godela, Steinman, Theodore I., Braun, William E., Mrug, Michal, Bennett, William M., Harris, Peter C., Srivastava, Avantika, Landsittel, Douglas P., Abebe, Kaleab Z.

Clinical Journal of the American Society of Nephrology | February 25, 2022 | Volume: 17 | Issue: 3 | Pages: 374-384

10.2215/cjn.08660621 Get It

Background and objectives The progression of polycystic liver disease is not well understood. The purpose of the study is to evaluate the associations of polycystic liver progression with other disease progression variables and classify liver progression on the basis of patient's age, height-adjusted liver cystic volume, and height-adjusted liver volume. Design, setting, participants, & measurements Prospective longitudinal magnetic resonance images from 670 patients with early autosomal dominant polycystic kidney disease for up to 14 years of follow-up were evaluated to measure height-adjusted liver cystic volume and height-adjusted liver volume. Among them, 245 patients with liver cyst volume >50 ml at baseline were included in the longitudinal analysis. Linear mixed models on log-transformed height-adjusted liver cystic volume and height-adjusted liver volume were fitted to approximate mean annual rate of change for each outcome. The association of sex, body mass index, genotype, baseline height-adjusted total kidney volume, and Mayo imaging class was assessed. We calculated height-adjusted liver cystic volume ranges for each specific age and divided them into five classes on the basis of annual percentage increase in height-adjusted liver cystic volume. Results The mean annual growth rate of height-adjusted liver cystic volume was 12% (95% confidence interval, 11.1% to 13.1%; P <0.001), whereas that for height-adjusted liver volume was 2% (95% confidence interval, 1.9% to 2.6%; P <0.001). Women had higher baseline height-adjusted liver cystic volume than men, but men had higher height-adjusted liver cystic volume growth rate than women by 2% (95% confidence interval, 0.4% to 4.5%; P =0.02). Whereas the height-adjusted liver cystic volume growth rate decreased in women after menopause, no decrease was observed in men at any age. Body mass index, genotype, and baseline height-adjusted total kidney volume were not associated with the growth rate of height-adjusted liver cystic volume or height-adjusted liver volume. According to the height-adjusted liver cystic volume growth rate, patients were classified into five classes (number of women, men in each class): A (24, six); B (44, 13); C (43, 48); D (28, 17); and E (13, nine). Conclusions Compared with height-adjusted liver volume, the use of height-adjusted liver cystic volume showed greater separations in volumetric progression of polycystic liver disease. Similar to the Mayo imaging classification for the kidney, the progression of polycystic liver disease may be categorized on the basis of patient’s age and height-adjusted liver cystic volume.
The value of genotypic and imaging information to predict functional and structural outcomes in ADPKD
Lavu, Sravanthi , Vaughan, Lisa E. , Senum, Sarah R. , Kline, Timothy L. , Chapman, Arlene B., Mrug, Michal , Braun, William E. , Steinman, Theodore I., Rahbari-Oskoui, Frederic F. , Brosnahan, Godela , Bae, Kyongtae T., Landsittel, Douglas , Torres, Vicente E. , Investigators, the HALT PKD and CRISP Study, Harris, Peter C. , Hogan, Marie C. , Harris, Peter C , Torres, Vicente E , Senum, Sarah R , Hogan, Marie C , Rahbari-Oskoui, Frederic F , Perrone, Ronald D. , Chebib, Fouad T. , Yu, Alan S.L. , Investigators, the HALT PKD and CRISP Study

JCI Insight | July 7, 2020 | Volume: 5 | Issue: 15 | Pages: No page available

10.1172/jci.insight.138724 Get It

BACKGROUND A treatment option for autosomal dominant polycystic kidney disease (ADPKD) has highlighted the need to identify rapidly progressive patients. Kidney size/age and genotype have predictive power for renal outcomes, but their relative and additive value, plus associated trajectories of disease progression, are not well defined. METHODS The value of genotypic and/or kidney imaging data (Mayo Imaging Class; MIC) to predict the time to functional (end-stage kidney disease [ESKD] or decline in estimated glomerular filtration rate [eGFR]) or structural (increase in height-adjusted total kidney volume [htTKV]) outcomes were evaluated in a Mayo Clinic PKD1/PKD2 population, and eGFR and htTKV trajectories from 20–65 years of age were modeled and independently validated in similarly defined CRISP and HALT PKD patients. RESULTS Both genotypic and imaging groups strongly predicted ESKD and eGFR endpoints, with genotype improving the imaging predictions and vice versa; a multivariate model had strong discriminatory power (C-index = 0.845). However, imaging but not genotypic groups predicted htTKV growth, although more severe genotypic and imaging groups had larger kidneys at a young age. The trajectory of eGFR decline was linear from baseline in the most severe genotypic and imaging groups, but it was curvilinear in milder groups. Imaging class trajectories differentiated htTKV growth rates; severe classes had rapid early growth and large kidneys, but growth later slowed. CONCLUSION The value of imaging, genotypic, and combined data to identify rapidly progressive patients was demonstrated, and reference values for clinical trials were provided. Our data indicate that differences in kidney growth rates before adulthood significantly define patients with severe disease. FUNDING NIDDK grants: Mayo DK058816 and DK090728; CRISP DK056943, DK056956, DK056957, and DK056961; and HALT PKD DK062410, DK062408, DK062402, DK082230, DK062411, and DK062401.
Expanded Imaging Classification of Autosomal Dominant Polycystic Kidney Disease
Bae, Kyongtae T., Shi, Tiange , Tao, Cheng , Yu, Alan S.L. , Torres, Vicente E. , Perrone, Ronald D. , Chapman, Arlene B., Brosnahan, Godela , Steinman, Theodore I., Braun, William E. , Srivastava, Avantika , Irazabal, María V. , Harris, Peter C. , Landsittel, Douglas , Hogan, Marie C. , Abebe, Kaleab Z , Harris, Peter C , Torres, Vicente E , Yu, Alan S L , Torres, Vicente E , Irazabal, Maria V , Hogan, Marie C

Journal of the American Society of Nephrology | June 2, 2020 | Volume: 31 | Issue: 7 | Pages: 1640-1651

10.1681/asn.2019101121 Get It

Significance Statement Accurate prediction of risk for disease progression is crucial for clinical management of autosomal dominant polycystic kidney disease (ADPKD). The Mayo imaging classification of ADPKD uses height-adjusted total kidney volume (htTKV) and age to identify patients at highest risk. Because the current Mayo classification applies only to patients with typical diffuse cystic disease (class 1) and poorly predicts eGFR decline for the remaining 5%–10% of patients with atypical morphology (class 2), imaging-based risk modeling remains unresolved. The authors report an expanded imaging classification model in which use of a recalculated htTKV value that excludes prominent exophytic cysts improved prediction for eGFR trajectory. Using a recalculated htTKV may allow inclusion of class 2 patients in the Mayo classification of ADPKD and reclassification of class 1 patients with prominent exophytic cysts. Background The Mayo Clinic imaging classification of autosomal dominant polycystic kidney disease (ADPKD) uses height-adjusted total kidney volume (htTKV) and age to identify patients at highest risk for disease progression. However, this classification applies only to patients with typical diffuse cystic disease (class 1). Because htTKV poorly predicts eGFR decline for the 5%–10% of patients with atypical morphology (class 2), imaging-based risk modeling remains unresolved. Methods Of 558 adults with ADPKD in the HALT-A study, we identified 25 patients of class 2A with prominent exophytic cysts (class 2Ae) and 43 patients of class 1 with prominent exophytic cysts; we recalculated their htTKVs to exclude exophytic cysts. Using original and recalculated htTKVs in association with imaging classification in logistic and mixed linear models, we compared predictions for developing CKD stage 3 and for eGFR trajectory. Results Using recalculated htTKVs increased specificity for developing CKD stage 3 in all participants from 82.6% to 84.2% after adjustment for baseline age, eGFR, BMI, sex, and race. The predicted proportion of class 2Ae patients developing CKD stage 3 using a cutoff of 0.5 for predicting case status was better calibrated to the observed value of 13.0% with recalculated htTKVs (45.5%) versus original htTKVs (63.6%). Using recalculated htTKVs reduced the mean paired difference between predicted and observed eGFR from 17.6 (using original htTKVs) to 4.0 ml/min per 1.73 m 2 for class 2Ae, and from −1.7 (using original htTKVs) to 0.1 ml/min per 1.73 m 2 for class 1. Conclusions Use of a recalculated htTKV measure that excludes prominent exophytic cysts facilitates inclusion of class 2 patients and reclassification of class 1 patients in the Mayo classification model.
Interactions between FGF23 and Genotype in Autosomal Dominant Polycystic Kidney Disease
Grau, Laura , McNair, Bryan , Harris, Peter C. , Brosnahan, Godela , Torres, Vicente E. , Steinman, Theodore I., Yu, Alan S.L. , Chapman, Arlene B., Chonchol, Michel , Nowak, Kristen L. , Nowak, Kristen L , Harris, Peter C , Torres, Vicente E , Yu, Alan S L , Gitomer, Berenice Y , Wolf, Myles Selig

Kidney360 | May 12, 2020 | Volume: 1 | Issue: 7 | Pages: 648-656

10.34067/kid.0001692020 Get It

Background Higher serum intact fibroblast growth factor 23 (iFGF23) was associated with disease progression in participants with autosomal dominant polycystic kidney disease (ADPKD) in the HALT-PKD Studies. PKD mutation is also an important determinant of progression. We hypothesized that serum levels of iFGF23 and vitamin D metabolites (1,25-dihydroxyvitamin D [1,25(OH) 2 D] and 25-hydroxyvitamin D [25[OH]D]) differ according to ADPKD mutation and differentially predict clinical end points according to genotype (significant interaction between genotype and mineral metabolites). Methods A total of 864 individuals with ADPKD who participated in the HALT-PKD Study A or B and had measurements of mineral metabolites (1,25[OH] 2 D, 25[OH]D, iFGF23) were categorized by PKD mutation (PKD1 truncating, PKD1 nontruncating, PKD2, or no mutation detected [NMD]). The association of the interactions of genotype × iFGF23, genotype × 1,25(OH)2D, and genotype × 25(OH)D with ( 1 ) annualized change in eGFR; ( 2 ) mean annualized percentage change in height-corrected total kidney volume (Study A only); and ( 3 ) time to a composite of 50% reduction in eGFR, ESKD, or death were evaluated using linear regression and Cox proportional hazards regression. Results Median (interquartile range) iFGF23 differed (PKD1 truncating, 55.8 [40.7–76.8]; PKD1 nontruncating, 49.9 [37.7–71.0]; PKD2, 49.0 [33.8–70.5]; NMD, 50.3 [39.7–67.4] pg/ml; P =0.03) and mean±SD 1,25(OH) 2 D differed (PKD1 truncating, 32.8±12.8; PKD1 nontruncating, 33.4±12.5; PKD2, 34.1±13.1; NMD, 38.0±14.6 pg/ml; P =0.02) according to PKD genotype. There was a significant interaction between iFGF23 and genotype ( P =0.02) for the composite end point in fully adjusted models, but no significant interaction between 1,25(OH) 2 D or 25(OH)D and genotype for clinical end points. Conclusions ADPKD genotype interacts significantly with FGF23 to influence clinical end points. Whereas the worst outcomes were in individuals with a PKD1-truncating or -nontruncating mutation and the highest iFGF23 tertile, risk of the composite end point differed according to iFGF23 the most in the PKD1-nontruncating and PKD2 groups.
Soluble Urokinase Plasminogen Activator Receptor and Decline in Kidney Function in Autosomal Dominant Polycystic Kidney Disease
Hayek, Salim S. , Landsittel, Douglas , Wei, Changli , Zeier, Martin , Torres, Vicente E. , Roth, Sharin E., Pao, Christina , Reiser, Jochen , Torres, Vicente E , Yu, Alan S.L. , Hayek, Salim

Journal of the American Society of Nephrology | June 6, 2019 | Volume: 30 | Issue: 7 | Pages: 1305-1313

10.1681/asn.2018121227 Get It

Significance Statement Soluble urokinase plasminogen activator receptor (suPAR), a marker of inflammation, is also an independent marker for incidence and progression of renal diseases. Mechanistically, it has been shown to activate podocytes in glomerular diseases. In this study, the authors provide the first description linking suPAR levels with disease progression for a major genetic renal disease that mainly affects the extraglomerular compartment, autosomal dominant polycystic kidney disease (ADPKD). They found an association between suPAR levels and height-adjusted total kidney volume, independent of age, sex, race, hypertension, and eGFR. In addition, patients with suPAR levels >2.82 ng/ml had a 3.38-fold increase in risk of incident ESRD. These findings suggest that suPAR levels may be useful for early identification of patients with ADPKD at high risk of disease progression. Background Levels of soluble urokinase plasminogen activator receptor (suPAR), an inflammation marker, are strongly predictive of incident kidney disease. Patients with autosomal dominant polycystic kidney disease (ADPKD) experience progressive decline in renal function, but rates of decline and outcomes vary greatly. Whether suPAR levels are predictive of declining kidney function in patients with ADPKD is unknown. Methods We assessed suPAR levels in 649 patients with ADPKD who underwent scheduled follow-up for at least 3 years, with repeated measurements of height-adjusted total kidney volume and creatinine-derived eGFR. We used linear mixed models for repeated measures and Cox proportional hazards to characterize associations between baseline suPAR levels and follow-up eGFR or incident ESRD. Results The median suPAR level was 2.47 ng/ml and median height-adjusted total kidney volume was 778, whereas mean eGFR was 84 ml/min per 1.73 m 2 . suPAR levels were associated with height-adjusted total kidney volume ( β =0.02; 95% confidence interval, 0.01 to 0.03), independent of age, sex, race, hypertension, and eGFR. Patients in the lowest suPAR tertile (<2.18 ng/ml) had a 6.8% decline in eGFR at 3 years and 22% developed CKD stage 3, whereas those in the highest tertile (suPAR>2.83 ng/ml) had a 19.4% decline in eGFR at 3 years and 68% developed CKD stage 3. suPAR levels >2.82 ng/ml had a 3.38-fold increase in the risk of incident ESRD. Conclusions suPAR levels were associated with progressive decline in renal function and incident ESRD in patients with ADPKD, and may aid early identification of patients at high risk of disease progression.
Growth Pattern of Kidney Cyst Number and Volume in Autosomal Dominant Polycystic Kidney Disease
Bae, Kyongtae T., Zhou, Wen , Landsittel, Douglas , Wu, Zhiyuan , Tao, Cheng , Chapman, Arlene B., Torres, Vicente E. , Yu, Alan S.L. , Mrug, Michal , Harris, Peter C. , Yu, Alan S L , Harris, Peter C , Torres, Vicente E , Shen, Chengli , Bennett, William M.

Clinical Journal of the American Society of Nephrology | May 14, 2019 | Volume: 14 | Issue: 6 | Pages: 823-833

10.2215/cjn.10360818 Get It

Background and objectives To evaluate the growth pattern of kidney cyst number and cyst volume in association with kidney size, demographics, and genotypes in autosomal dominant polycystic kidney disease. Design, setting, participants, & measurements Kidney cyst number and cyst volume were measured from serial magnetic resonance images, giving a maximum follow-up of 14.23 years, from 241 patients with autosomal dominant polycystic kidney disease (15–46 years old at baseline). The growth pattern was analyzed, in association with sex, age, height-adjusted total kidney volume, and genotype, using linear mixed models of repeated measurements and tests of interactions with age (as a time-dependent covariate) to assess rates of change over time. Models were also fit using Irazabal class. Genotypic groups were characterized as either ( 1 ) PKD1 truncating, PKD1 nontruncating, and PKD2 plus patients with no mutation detected; or ( 2 ) in combination with PKD1 mutation strength groups. Results Imaging and genetic data were collected (at least one visit) for 236 participants. The mean height-adjusted total cyst number increased exponentially over time from a baseline value of 762 to 1715 at the last clinic visit, while the mean height-adjusted total cyst volume increased exponentially from 305 to 770 ml. Height-adjusted total kidney volume, height-adjusted total cyst number, and height-adjusted total cyst volume were all highly correlated over time. Female participants and participants with larger height-adjusted total kidney volume at baseline showed smaller rates of change in the log of height-adjusted total cyst number and cyst volume. PKD1 was associated with significant increases in both cyst number and volume at a given age, but genotype did not significantly affect the rate of growth. Conclusions Both height-adjusted total cyst number and height-adjusted total cyst volume increased exponentially and more than doubled over 14.23 years of follow-up. Compared with PKD2 plus no mutation detected, PKD1 was associated with a greater cyst number and volume at a given age, but no significant difference in the rate of growth.