Nephrology Commons^™

Targeted Exome-Based Predictors Of Patterns Of Progression Of Colorectal Liver Metastasis After Percutaneous Thermal Ablation, Iwan Paolucci, Yuan-Mao Lin, Yoshikuni Kawaguchi, Harufumi Maki, A Kyle Jones, Marco Calandri, Scott Kopetz, Timothy E Newhook, Kristy K Brock, Jean-Nicolas Vauthey, Bruno C Odisio

Faculty, Staff and Student Publications

BACKGROUND: Percutaneous thermal ablation is a curative-intent locoregional therapy (LRT) for selected patients with unresectable colorectal liver metastasis (CLM). Several factors have been identified that contribute to local tumour control after ablation. However, factors contributing to disease progression outside the ablation zone after ablation are poorly understood.

METHODS: In this retrospective study, using next-generation sequencing, we identified genetic biomarkers associated with different patterns of progression following thermal ablation of CLM.

RESULTS: A total of 191 ablation naïve patients between January 2011 and March 2020 were included in the analysis, and 101 had genomic profiling available. Alterations in the TGFβ pathway …

Chronic Kidney Disease Prediction Using Boosting Techniques Based On Clinical Parameters, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

Chronic kidney disease (CKD) has become a major global health crisis, causing millions of yearly deaths. Predicting the possibility of a person being affected by the disease will allow timely diagnosis and precautionary measures leading to preventive strategies for health. Machine learning techniques have been popularly applied in various disease diagnoses and predictions. Ensemble learning approaches have become useful for predicting many complex diseases. In this paper, we utilise the boosting method, one of the popular ensemble learnings, to achieve a higher prediction accuracy for CKD. Five boosting algorithms are employed: XGBoost, CatBoost, LightGBM, AdaBoost, and gradient boosting. We experimented …

Expression Of P-Stat3 And C-Myc Correlates With P2-Hnf4Α Expression In Nonalcoholic Fatty Liver Disease (Nafld), Mamoun Younes, Lin Zhang, Baharan Fekry, Kristin Eckel-Mahan

Faculty, Staff and Student Publications

We studied the expression of two hepatocyte nuclear factor 4 alpha (HNF4α) isoforms, p-STAT3. and c-Myc in 49 consecutive liver biopsies with nonalcoholic fatty liver disease (NAFLD) using immunohistochemistry. All 49 biopsies (100%) were positive for nuclear expression of P1-HNF4α. Twenty-eight (57%) cases were positive for P2-HNF4α, 6 (12%) were positive for p-STAT3 and 5 (10%) were positive for c-Myc. All 6 (100%) p-STAT3-positive cases were also positive for P2-HNF4α (p = 0.03). p-STAT3-positive cases were more likely to be positive for c-Myc (67% vs. 2%, p = 0.0003). Four cases were positive for P2-HNF4α, p-STAT3 and c-Myc. p-STAT3 …

Chronic Kidney Disease In Public Renal Practices In Queensland, Australia, 2011–2018, Wendy E Hoy, Zaimin Wang, Jianzhen Zhang, Vishal Diwan, Anne Cameron, Sree K Venuthurupalli, Robert G Fassett, Samuel Chan, Helen G Healy, Ken-Soon Tan, Richard Baer, Andrew J Mallett, Nicholas Gray, Murty Mantha, Roy Cherian, Clyson Mutatiri, Krishan Madhan, George Kan, Geoffrey Mitchell, Shahadat Hossain, Danielle Wu, Thin Han, Adrian Kark, Thomas Titus, Dwarakanatan Ranganathan, Ann Bonner, Sridevi Govindarajulu, Nhmrc Ckd.Cre And The Ckd.Qld Collaborative

Faculty, Staff and Student Publications

AIM: To describe adults with (non-dialysis) chronic kidney disease (CKD) in nine public renal practice sites in the Australian state of Queensland.

METHODS: 7,060 persons were recruited to a CKD Registry in May 2011 and until start of kidney replacement therapy (KRT), death without KRT or June 2018, for a median period of 3.4 years.

RESULTS: The cohort comprised 7,060 persons, 52% males, with a median age of 68 yr; 85% had CKD stages 3A to 5, 45.4% were diabetic, 24.6% had diabetic nephropathy, and 51.7% were obese. Younger persons mostly had glomerulonephritis or genetic renal disease, while older persons …

Genetic Loci And Prioritization Of Genes For Kidney Function Decline Derived From A Meta-Analysis Of 62 Longitudinal Genome-Wide Association Studies, Mathias Gorski, Humaira Rasheed, Alexander Teumer, Laurent F Thomas, Sarah E Graham, Gardar Sveinbjornsson, Thomas W Winkler, Felix Günther, Klaus J Stark, Jin-Fang Chai, Bamidele O Tayo, Matthias Wuttke, Yong Li, Adrienne Tin, Tarunveer S Ahluwalia, Johan Ärnlöv, Bjørn Olav Åsvold, Stephan J L Bakker, Bernhard Banas, Nisha Bansal, Mary L Biggs, Ginevra Biino, Michael Böhnke, Eric Boerwinkle, Erwin P Bottinger, Hermann Brenner, Ben Brumpton, Robert J Carroll, Layal Chaker, John Chalmers, Miao-Li Chee, Miao-Ling Chee, Ching-Yu Cheng, Audrey Y Chu, Marina Ciullo, Massimiliano Cocca, James P Cook, Josef Coresh, Daniele Cusi, Martin H De Borst, Frauke Degenhardt, Kai-Uwe Eckardt, Karlhans Endlich, Michele K Evans, Mary F Feitosa, Andre Franke, Sandra Freitag-Wolf, Christian Fuchsberger, Piyush Gampawar, Ron T Gansevoort, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Christian Gieger, Daniel F Gudbjartsson, Stein Hallan, Pavel Hamet, Asahi Hishida, Kevin Ho, Edith Hofer, Bernd Holleczek, Hilma Holm, Anselm Hoppmann, Katrin Horn, Nina Hutri-Kähönen, Kristian Hveem, Shih-Jen Hwang, M Arfan Ikram, Navya Shilpa Josyula, Bettina Jung, Mika Kähönen, Irma Karabegović, Chiea-Chuen Khor, Wolfgang Koenig, Holly Kramer, Bernhard K Krämer, Brigitte Kühnel, Johanna Kuusisto, Markku Laakso, Leslie A Lange, Terho Lehtimäki, Man Li, Wolfgang Lieb, Lifelines Cohort Study, Lars Lind, Cecilia M Lindgren, Ruth J F Loos, Mary Ann Lukas, Leo-Pekka Lyytikäinen, Anubha Mahajan, Pamela R Matias-Garcia, Christa Meisinger, Thomas Meitinger, Olle Melander, Yuri Milaneschi, Pashupati P Mishra, Nina Mononen, Andrew P Morris, Josyf C Mychaleckyj, Girish N Nadkarni, Mariko Naito, Masahiro Nakatochi, Mike A Nalls, Matthias Nauck, Kjell Nikus, Boting Ning, Ilja M Nolte, Teresa Nutile, Michelle L O'Donoghue, Jeffrey O'Connell, Isleifur Olafsson, Marju Orho-Melander, Afshin Parsa, Sarah A Pendergrass, Brenda W J H Penninx, Mario Pirastu, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Olli T Raitakari, Myriam Rheinberger, Kenneth M Rice, Federica Rizzi, Alexander R Rosenkranz, Peter Rossing, Jerome I Rotter, Daniela Ruggiero, Kathleen A Ryan, Charumathi Sabanayagam, Erika Salvi, Helena Schmidt, Reinhold Schmidt, Markus Scholz, Ben Schöttker, Christina-Alexandra Schulz, Sanaz Sedaghat, Christian M Shaffer, Karsten B Sieber, Xueling Sim, Mario Sims, Harold Snieder, Kira J Stanzick, Unnur Thorsteinsdottir, Hannah Stocker, Konstantin Strauch, Heather M Stringham, Patrick Sulem, Silke Szymczak, Kent D Taylor, Chris H L Thio, Johanne Tremblay, Simona Vaccargiu, Pim Van Der Harst, Peter J Van Der Most, Niek Verweij, Uwe Völker, Kenji Wakai, Melanie Waldenberger, Lars Wallentin, Stefan Wallner, Judy Wang, Dawn M Waterworth, Harvey D White, Cristen J Willer, Tien-Yin Wong, Mark Woodward, Qiong Yang, Laura M Yerges-Armstrong, Martina Zimmermann, Alan B Zonderman, Tobias Bergler, Kari Stefansson, Carsten A Böger, Cristian Pattaro, Anna Köttgen, Florian Kronenberg, Iris M Heid

Faculty, Staff and Student Publications

Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine …