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Taylor SI, Cherng HR, Yazdi ZS, Montasser ME, Whitlatch HB, Mitchell BD, Shuldiner AR, Streeten EA, Beitelshees AL. Pharmacogenetics of sodium-glucose co-transporter-2 inhibitors: Validation of a sex-agnostic pharmacodynamic biomarker. Diabetes Obes Metab 2023; 25:3512-3520. [PMID: 37608471 PMCID: PMC10829524 DOI: 10.1111/dom.15246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 07/21/2023] [Accepted: 07/28/2023] [Indexed: 08/24/2023]
Abstract
AIM To validate pharmacodynamic responses to sodium-glucose co-transporter-2 (SGLT2) inhibitors and test for association with genetic variants in SLC5A4, SLC5A9, and SLC2A9. METHODS Canagliflozin (300 mg), a SGLT2 inhibitor, was administered to 30 healthy volunteers. Several endpoints were measured to assess clinically relevant responses, including drug-induced increases in urinary excretion of glucose, sodium and uric acid. RESULTS This pilot study confirmed that canagliflozin (300 mg) triggered acute changes in mean levels of several biomarkers: fasting plasma glucose (-4.1 mg/dL; P = 6 × 10-5 ), serum creatinine (+0.05 mg/dL; P = 8 × 10-4 ) and serum uric acid (-0.90 mg/dL; P = 5 × 10-10 ). The effects of sex on glucosuria depended upon how data were normalized. Whereas males' responses were ~60% greater when data were normalized to body surface area, males and females exhibited similar responses when glucosuria was expressed as grams of urinary glucose per gram-creatinine. The magnitude of glucosuria was not significantly correlated with fasting plasma glucose, estimated glomerular filtration rate or age in those healthy individuals without diabetes with an estimated glomerular filtration rate of more than 60 mL/min/1.73m2 . CONCLUSIONS Normalizing data relative to creatinine excretion will facilitate including data from males and females in a single analysis. Furthermore, because our ongoing pharmacogenomic study (NCT02891954) is conducted in healthy individuals, this will facilitate detection of genetic associations with limited confounding by other factors such as HbA1c and renal function.
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Affiliation(s)
- Simeon I. Taylor
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Hua-Ren Cherng
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Zhinous Shahidzadeh Yazdi
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - May E. Montasser
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Hilary B. Whitlatch
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Braxton D. Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Alan R. Shuldiner
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Elizabeth A. Streeten
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Amber L. Beitelshees
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
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Ebert N, Bevc S, Bökenkamp A, Gaillard F, Hornum M, Jager KJ, Mariat C, Eriksen BO, Palsson R, Rule AD, van Londen M, White C, Schaeffner E. Assessment of kidney function: clinical indications for measured GFR. Clin Kidney J 2021; 14:1861-1870. [PMID: 34345408 PMCID: PMC8323140 DOI: 10.1093/ckj/sfab042] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Indexed: 12/18/2022] Open
Abstract
In the vast majority of cases, glomerular filtration rate (GFR) is estimated using serum creatinine, which is highly influenced by age, sex, muscle mass, body composition, severe chronic illness and many other factors. This often leads to misclassification of patients or potentially puts patients at risk for inappropriate clinical decisions. Possible solutions are the use of cystatin C as an alternative endogenous marker or performing direct measurement of GFR using an exogenous marker such as iohexol. The purpose of this review is to highlight clinical scenarios and conditions such as extreme body composition, Black race, disagreement between creatinine- and cystatin C-based estimated GFR (eGFR), drug dosing, liver cirrhosis, advanced chronic kidney disease and the transition to kidney replacement therapy, non-kidney solid organ transplant recipients and living kidney donors where creatinine-based GFR estimation may be invalid. In contrast to the majority of literature on measured GFR (mGFR), this review does not include aspects of mGFR for research or public health settings but aims to reach practicing clinicians and raise their understanding of the substantial limitations of creatinine. While including cystatin C as a renal biomarker in GFR estimating equations has been shown to increase the accuracy of the GFR estimate, there are also limitations to eGFR based on cystatin C alone or the combination of creatinine and cystatin C in the clinical scenarios described above that can be overcome by measuring GFR with an exogenous marker. We acknowledge that mGFR is not readily available in many centres but hope that this review will highlight and promote the expansion of kidney function diagnostics using standardized mGFR procedures as an important milestone towards more accurate and personalized medicine.
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Affiliation(s)
- Natalie Ebert
- Institute of Public Health, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Sebastjan Bevc
- Department of Nephrology, Faculty of Medicine, Clinic for Internal Medicine, University Medical Center Maribor, University of Maribor, Maribor, Slovenia
| | - Arend Bökenkamp
- Department of Pediatric Nephrology, Amsterdam University Medical Center, Emma Kinderziekenhuis, Amsterdam, The Netherlands
| | - Francois Gaillard
- AP-HP, Hôpital Bichat, Service de Néphrologie, Université de Paris, INSERM U1149, Paris, France
| | - Mads Hornum
- Department of Nephrology, Rigshospitalet and Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kitty J Jager
- Department of Medical Informatics, ERA-EDTA Registry, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Bjørn Odvar Eriksen
- Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway
| | - Runolfur Palsson
- Internal Medicine Services, Division of Nephrology, Landspitali–The National University Hospital of Iceland and Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Andrew D Rule
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Marco van Londen
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, Groningen, The Netherlands
| | - Christine White
- Department of Medicine, Division of Nephrology, Queen’s University, Kingston, Canada
| | - Elke Schaeffner
- Institute of Public Health, Charité Universitätsmedizin Berlin, Berlin, Germany
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