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Yang WS, Chuang GT, Che TPH, Chueh LY, Li WY, Hsu CN, Hsiung CN, Ku HC, Lin YC, Chen YS, Hee SW, Chang TJ, Chen SM, Hsieh ML, Lee HL, Liao KCW, Shen CY, Chang YC. Genome-Wide Association Studies for Albuminuria of Nondiabetic Taiwanese Population. Am J Nephrol 2023; 54:359-369. [PMID: 37437553 DOI: 10.1159/000531783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 06/26/2023] [Indexed: 07/14/2023]
Abstract
INTRODUCTION Chronic kidney disease, which is defined by a reduced estimated glomerular filtration rate and albuminuria, imposes a large health burden worldwide. Ethnicity-specific associations are frequently observed in genome-wide association studies (GWAS). This study conducts a GWAS of albuminuria in the nondiabetic population of Taiwan. METHODS Nondiabetic individuals aged 30-70 years without a history of cancer were enrolled from the Taiwan Biobank. A total of 6,768 subjects were subjected to a spot urine examination. After quality control using PLINK and imputation using SHAPEIT and IMPUTE2, a total of 3,638,350 single-nucleotide polymorphisms (SNPs) remained for testing. SNPs with a minor allele frequency of less than 0.1% were excluded. Linear regression was used to determine the relationship between SNPs and log urine albumin-to-creatinine ratio. RESULTS Six suggestive loci are identified in or near the FCRL3 (p = 2.56 × 10-6), TMEM161 (p = 4.43 × 10-6), EFCAB1 (p = 2.03 × 10-6), ELMOD1 (p = 2.97 × 10-6), RYR3 (p = 1.34 × 10-6), and PIEZO2 (p = 2.19 × 10-7). Genetic variants in the FCRL3 gene that encode a secretory IgA receptor are found to be associated with IgA nephropathy, which can manifest as proteinuria. The PIEZO2 gene encodes a sensor for mechanical forces in mesangial cells and renin-producing cells. Five SNPs with a p-value between 5 × 10-6 and 5 × 10-5 are also identified in five genes that may have a biological role in the development of albuminuria. CONCLUSION Five new loci and one known suggestive locus for albuminuria are identified in the nondiabetic Taiwanese population.
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Affiliation(s)
- Wei-Shun Yang
- Department of Internal Medicine, Division of Nephrology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan,
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan,
| | - Gwo-Tsann Chuang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
- Division of Nephrology, Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan
| | - Tony Pan-Hou Che
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
| | - Li-Yun Chueh
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
| | - Wen-Yi Li
- Department of Internal Medicine, Division of Nephrology, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
| | - Chih-Neng Hsu
- Cardiovascular Center, National Taiwan University Hospital Yun-Lin Branch, Yunlin, Taiwan
| | - Chia-Ni Hsiung
- Data Science Statistical Cooperation Center, Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Hsiao-Chia Ku
- Department of Laboratory Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Yi-Ching Lin
- Department of Laboratory Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Yi-Shun Chen
- Department of Laboratory Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Siow-Wey Hee
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Tien-Jyun Chang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Medicine, College of Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Shiau-Mei Chen
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Meng-Lun Hsieh
- Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Hsiao-Lin Lee
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | | | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yi-Cheng Chang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Medicine, College of Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
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Douville NJ, Larach DB, Lewis A, Bastarache L, Pandit A, He J, Heung M, Mathis M, Wanderer JP, Kheterpal S, Surakka I, Kertai MD. Genetic predisposition may not improve prediction of cardiac surgery-associated acute kidney injury. Front Genet 2023; 14:1094908. [PMID: 37124606 PMCID: PMC10133500 DOI: 10.3389/fgene.2023.1094908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 03/21/2023] [Indexed: 05/02/2023] Open
Abstract
Background: The recent integration of genomic data with electronic health records has enabled large scale genomic studies on a variety of perioperative complications, yet genome-wide association studies on acute kidney injury have been limited in size or confounded by composite outcomes. Genome-wide association studies can be leveraged to create a polygenic risk score which can then be integrated with traditional clinical risk factors to better predict postoperative complications, like acute kidney injury. Methods: Using integrated genetic data from two academic biorepositories, we conduct a genome-wide association study on cardiac surgery-associated acute kidney injury. Next, we develop a polygenic risk score and test the predictive utility within regressions controlling for age, gender, principal components, preoperative serum creatinine, and a range of patient, clinical, and procedural risk factors. Finally, we estimate additive variant heritability using genetic mixed models. Results: Among 1,014 qualifying procedures at Vanderbilt University Medical Center and 478 at Michigan Medicine, 348 (34.3%) and 121 (25.3%) developed AKI, respectively. No variants exceeded genome-wide significance (p < 5 × 10-8) threshold, however, six previously unreported variants exceeded the suggestive threshold (p < 1 × 10-6). Notable variants detected include: 1) rs74637005, located in the exonic region of NFU1 and 2) rs17438465, located between EVX1 and HIBADH. We failed to replicate variants from prior unbiased studies of post-surgical acute kidney injury. Polygenic risk was not significantly associated with post-surgical acute kidney injury in any of the models, however, case duration (aOR = 1.002, 95% CI 1.000-1.003, p = 0.013), diabetes mellitus (aOR = 2.025, 95% CI 1.320-3.103, p = 0.001), and valvular disease (aOR = 0.558, 95% CI 0.372-0.835, p = 0.005) were significant in the full model. Conclusion: Polygenic risk score was not significantly associated with cardiac surgery-associated acute kidney injury and acute kidney injury may have a low heritability in this population. These results suggest that susceptibility is only minimally influenced by baseline genetic predisposition and that clinical risk factors, some of which are modifiable, may play a more influential role in predicting this complication. The overall impact of genetics in overall risk for cardiac surgery-associated acute kidney injury may be small compared to clinical risk factors.
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Affiliation(s)
- Nicholas J. Douville
- Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, United States
- Center for Computational Medicine and Bioinformatics, University of Michigan Health System, Ann Arbor, MI, United States
- Michigan Integrated Center for Health Analytics and Medical Prediction, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States
| | - Daniel B. Larach
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Adam Lewis
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Anita Pandit
- Center for Statistical Genetics and Precision Health Initiative, University of Michigan, Ann Arbor, MI, United States
| | - Jing He
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Michael Heung
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Michael Mathis
- Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, United States
- Center for Computational Medicine and Bioinformatics, University of Michigan Health System, Ann Arbor, MI, United States
- Michigan Integrated Center for Health Analytics and Medical Prediction, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States
| | - Jonathan P. Wanderer
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Sachin Kheterpal
- Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, United States
| | - Ida Surakka
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Miklos D. Kertai
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States
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Nanodrugs alleviate acute kidney injury: Manipulate RONS at kidney. Bioact Mater 2023; 22:141-167. [PMID: 36203963 PMCID: PMC9526023 DOI: 10.1016/j.bioactmat.2022.09.021] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/12/2022] [Accepted: 09/19/2022] [Indexed: 02/06/2023] Open
Abstract
Currently, there are no clinical drugs available to treat acute kidney injury (AKI). Given the high prevalence and high mortality rate of AKI, the development of drugs to effectively treat AKI is a huge unmet medical need and a research hotspot. Although existing evidence fully demonstrates that reactive oxygen and nitrogen species (RONS) burst at the AKI site is a major contributor to AKI progression, the heterogeneity, complexity, and unique physiological structure of the kidney make most antioxidant and anti-inflammatory small molecule drugs ineffective because of the lack of kidney targeting and side effects. Recently, nanodrugs with intrinsic kidney targeting through the control of size, shape, and surface properties have opened exciting prospects for the treatment of AKI. Many antioxidant nanodrugs have emerged to address the limitations of current AKI treatments. In this review, we systematically summarized for the first time about the emerging nanodrugs that exploit the pathological and physiological features of the kidney to overcome the limitations of traditional small-molecule drugs to achieve high AKI efficacy. First, we analyzed the pathological structural characteristics of AKI and the main pathological mechanism of AKI: hypoxia, harmful substance accumulation-induced RONS burst at the renal site despite the multifactorial initiation and heterogeneity of AKI. Subsequently, we introduced the strategies used to improve renal targeting and reviewed advances of nanodrugs for AKI: nano-RONS-sacrificial agents, antioxidant nanozymes, and nanocarriers for antioxidants and anti-inflammatory drugs. These nanodrugs have demonstrated excellent therapeutic effects, such as greatly reducing oxidative stress damage, restoring renal function, and low side effects. Finally, we discussed the challenges and future directions for translating nanodrugs into clinical AKI treatment. AKI is a common clinical acute syndrome with high morbidity and mortality but without effective clinical drug available. Hypoxia and accumulation of toxic substances are key pathological features of various heterogeneous AKI. Excessive RONS is the core of the pathological mechanism of AKI. The development of nanodrugs is expected to achieve successful treatment in AKI.
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Larach DB, Lewis A, Bastarache L, Pandit A, He J, Sinha A, Douville NJ, Heung M, Mathis MR, Mosley JD, Wanderer JP, Kheterpal S, Zawistowski M, Brummett CM, Siew ED, Robinson-Cohen C, Kertai MD. Limited clinical utility for GWAS or polygenic risk score for postoperative acute kidney injury in non-cardiac surgery in European-ancestry patients. BMC Nephrol 2022; 23:339. [PMID: 36271344 PMCID: PMC9587619 DOI: 10.1186/s12882-022-02964-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/27/2022] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Prior studies support a genetic basis for postoperative acute kidney injury (AKI). We conducted a genome-wide association study (GWAS), assessed the clinical utility of a polygenic risk score (PRS), and estimated the heritable component of AKI in patients who underwent noncardiac surgery. METHODS We performed a retrospective large-scale genome-wide association study followed by a meta-analysis of patients who underwent noncardiac surgery at the Vanderbilt University Medical Center ("Vanderbilt" cohort) or Michigan Medicine, the academic medical center of the University of Michigan ("Michigan" cohort). In the Vanderbilt cohort, the relationship between polygenic risk score for estimated glomerular filtration rate and postoperative AKI was also tested to explore the predictive power of aggregating multiple common genetic variants associated with AKI risk. Similarly, in the Vanderbilt cohort genome-wide complex trait analysis was used to estimate the heritable component of AKI due to common genetic variants. RESULTS The study population included 8248 adults in the Vanderbilt cohort (mean [SD] 58.05 [15.23] years, 50.2% men) and 5998 adults in Michigan cohort (56.24 [14.76] years, 49% men). Incident postoperative AKI events occurred in 959 patients (11.6%) and in 277 patients (4.6%), respectively. No loci met genome-wide significance in the GWAS and meta-analysis. PRS for estimated glomerular filtration rate explained a very small percentage of variance in rates of postoperative AKI and was not significantly associated with AKI (odds ratio 1.050 per 1 SD increase in polygenic risk score [95% CI, 0.971-1.134]). The estimated heritability among common variants for AKI was 4.5% (SE = 4.5%) suggesting low heritability. CONCLUSION The findings of this study indicate that common genetic variation minimally contributes to postoperative AKI after noncardiac surgery, and likely has little clinical utility for identifying high-risk patients.
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Affiliation(s)
- Daniel B Larach
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam Lewis
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anita Pandit
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Jing He
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anik Sinha
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas J Douville
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
- Institute of Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, USA
| | - Michael Heung
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Michael R Mathis
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan D Mosley
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonathan P Wanderer
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sachin Kheterpal
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | | | - Chad M Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Edward D Siew
- Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI (VIP-AKI), Tennessee Valley Health System, Nashville Veterans Affairs Hospital, Nashville, TN, USA
| | - Cassianne Robinson-Cohen
- Vanderbilt O'Brien Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Miklos D Kertai
- Division of Adult Cardiothoracic Anesthesiology, Department of Anesthesiology, Vanderbilt University Medical Center, 1211 21st Avenue South, Medical Arts Building, Office 526E, Nashville, TN, 37212, USA.
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Yalman N. LMCD1 antisense RNA 1 is a newly identified long noncoding RNA. Anticancer Drugs 2022; 33:1-5. [PMID: 34232945 DOI: 10.1097/cad.0000000000001124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Long noncoding RNAs (lncRNAs) are one of the interesting fields in cancer researches. LncRNAs are generally dysregulated in many diseases. LMCD1 antisense RNA 1 (LMCD1-AS1) is a newly identified lncRNA with protumorigenic functions on tumor cells. LMCD1-AS1 expression is increased in hepatocellular carcinoma (HCC). LMCD1-AS1 is a sponge of miR-106b-5p activity. LMCD1-AS1 modulates the survival of osteosarcoma via targeting miR-106b-5p. LMCD1-AS1 and Sp1 are highly expressed in osteosarcoma. SP1 can bind to the promoter region of LMCD1-AS1, resulting in its overexpression in osteosarcoma. GLI2 is shown to bind to the LMCD1-AS1 promoter and is transcriptionally activated by LMCD1-AS1. LMCD1 acts as a miR-1287-5p sponge to increase GLI2 expression. LMCD1 is abundantly expressed in kidney tissue. Moreover, it is functionally involved in protein-protein interactions with transcriptional co-repressor activity, including regulation of the calcineurin-NFAT signaling cascade known to play a critical role in recovery from acute kidney injury (AKI). The E2F1/LMCD1-AS1/miR-345-5p/COL6A3 axis is a newly identified regulatory mechanism, which has a function in cholangiocarcinoma (CCA) tumorigenesis and progression and provides potential therapeutic targets for CCA. Also, LMCD1-AS1 functions in thyroid cancer (THCA) development. LMCD1-AS1 is overexpressed in THCA cells, and LMCD1-AS1 knockdown suppresses the malignant phenotypes of THCA cells. In THCA development, LMCD1-AS1 exerts protumorigenic function through sponging miR-1287-5p to increase GLI2 expression, constituting a feedback loop of LMCD1-AS1/miR-1287-5p/GLI2. In this review, the author focuses on the molecular mechanisms of newly identified long noncoding RNA LMCD1 antisense RNA 1 (LMCD1-AS1).
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Affiliation(s)
- Nesil Yalman
- Department of Medical Biology and Genetics, Institute of Health Sciences, Gaziantep University, Gaziantep, Turkey
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Ortega-Loubon C, Martínez-Paz P, García-Morán E, Tamayo-Velasco Á, López-Hernández FJ, Jorge-Monjas P, Tamayo E. Genetic Susceptibility to Acute Kidney Injury. J Clin Med 2021; 10:jcm10143039. [PMID: 34300206 PMCID: PMC8307812 DOI: 10.3390/jcm10143039] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 07/02/2021] [Accepted: 07/03/2021] [Indexed: 12/14/2022] Open
Abstract
Acute kidney injury (AKI) is a widely held concern related to a substantial burden of morbidity, mortality and expenditure in the healthcare system. AKI is not a simple illness but a complex conglomeration of syndromes that often occurs as part of other syndromes in its wide clinical spectrum of the disease. Genetic factors have been suggested as potentially responsible for its susceptibility and severity. As there is no current cure nor an effective treatment other than generally accepted supportive measures and renal replacement therapy, updated knowledge of the genetic implications may serve as a strategic tactic to counteract its dire consequences. Further understanding of the genetics that predispose AKI may shed light on novel approaches for the prevention and treatment of this condition. This review attempts to address the role of key genes in the appearance and development of AKI, providing not only a comprehensive update of the intertwined process involved but also identifying specific markers that could serve as precise targets for further AKI therapies.
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Affiliation(s)
- Christian Ortega-Loubon
- BioCritic. Group for Biomedical Research in Critical Care Medicine, University of Valladolid, 47003 Valladolid, Spain; (C.O.-L.); (E.G.-M.); (Á.T.-V.); (F.J.L.-H.); (E.T.)
- Department of Cardiovascular Surgery, Hospital Clinic of Barcelona, 08036 Barcelona, Spain
| | - Pedro Martínez-Paz
- BioCritic. Group for Biomedical Research in Critical Care Medicine, University of Valladolid, 47003 Valladolid, Spain; (C.O.-L.); (E.G.-M.); (Á.T.-V.); (F.J.L.-H.); (E.T.)
- Department of Surgery, Faculty of Medicine, University of Valladolid, 47003 Valladolid, Spain
- Correspondence: (P.M.-P.); (P.J.-M.); Tel.: +34-9834200000 (P.M.-P.); +34-687978535 (P.J.-M)
| | - Emilio García-Morán
- BioCritic. Group for Biomedical Research in Critical Care Medicine, University of Valladolid, 47003 Valladolid, Spain; (C.O.-L.); (E.G.-M.); (Á.T.-V.); (F.J.L.-H.); (E.T.)
- Department of Cardiology, Clinical University Hospital of Valladolid, 47003 Valladolid, Spain
| | - Álvaro Tamayo-Velasco
- BioCritic. Group for Biomedical Research in Critical Care Medicine, University of Valladolid, 47003 Valladolid, Spain; (C.O.-L.); (E.G.-M.); (Á.T.-V.); (F.J.L.-H.); (E.T.)
- Department of Hematology and Hemotherapy, Clinical University Hospital of Valladolid, 47003 Valladolid, Spain
| | - Francisco J. López-Hernández
- BioCritic. Group for Biomedical Research in Critical Care Medicine, University of Valladolid, 47003 Valladolid, Spain; (C.O.-L.); (E.G.-M.); (Á.T.-V.); (F.J.L.-H.); (E.T.)
- Institute of Biomedical Research of Salamnca (IBSAL), University Hospital of Salamanca, 37007 Salamanca, Spain
- Group of Translational Research on Renal and Cardiovascular Diseases (TRECARD), Departmental Building Campus Miguel de Unamuno, 37007 Salamanca, Spain
| | - Pablo Jorge-Monjas
- BioCritic. Group for Biomedical Research in Critical Care Medicine, University of Valladolid, 47003 Valladolid, Spain; (C.O.-L.); (E.G.-M.); (Á.T.-V.); (F.J.L.-H.); (E.T.)
- Department of Anesthesiology and Critical Care, Clinical University Hospital of Valladolid, Ramón y Cajal Ave, 47003 Valladolid, Spain
- Correspondence: (P.M.-P.); (P.J.-M.); Tel.: +34-9834200000 (P.M.-P.); +34-687978535 (P.J.-M)
| | - Eduardo Tamayo
- BioCritic. Group for Biomedical Research in Critical Care Medicine, University of Valladolid, 47003 Valladolid, Spain; (C.O.-L.); (E.G.-M.); (Á.T.-V.); (F.J.L.-H.); (E.T.)
- Department of Anesthesiology and Critical Care, Clinical University Hospital of Valladolid, Ramón y Cajal Ave, 47003 Valladolid, Spain
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Mu H, Zheng Q, Hao L. IL-10 -1082 A/G polymorphism is related with the risk and clinical characteristics of acute kidney injury: a case-control study. BMC Nephrol 2021; 22:212. [PMID: 34090357 PMCID: PMC8178916 DOI: 10.1186/s12882-021-02410-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 05/06/2021] [Indexed: 12/03/2022] Open
Abstract
Background Interleukin-10 (IL-10), a kind of anti-inflammation cytokine, has a key role in the development of acute kidney injury (AKI). Recently, several studies addressed the link between the risk of AKI and the IL-10 -1082 A/G polymorphism with conflicting findings. Methods To identify the effects of the IL-10 -1082 A/G polymorphism on the risk of AKI, we designed this case-control study. This study recruited 320 AKI patients and 408 ICU patients without AKI. The association between the AKI risk and this polymorphism was analyzed using the logistic regression analysis adjusted for confounding factors. Results The IL-10 -1082 A/G polymorphism enhanced the risk of AKI. After stratified analysis, this polymorphism increased the risk of AKI among the males, smokers, those aged exceeding 60 years old, and overweight individuals (BMI ≥ 25). Moreover, -1082 A/G polymorphism was remarkably related with APACHE II score and eGFR. Conclusions Collectively, the IL-10 -1082 A/G polymorphism is linked with an elevated risk of AKI. Further studies in China need be performed to verify these results.
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Affiliation(s)
- Haiyan Mu
- Health Management center, Weifang People's Hospital, 151 Guangwen Street, Kuiwen District, Shandong Province, 261041, Weifang, China
| | - Qingqing Zheng
- Hemodialysis Center, Weifang People's Hospital, 151 Guangwen Street, Kuiwen District, Shandong Province, 261041, Weifang, China
| | - Lihai Hao
- Hemodialysis Center, Weifang People's Hospital, 151 Guangwen Street, Kuiwen District, Shandong Province, 261041, Weifang, China.
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The application of omic technologies to research in sepsis-associated acute kidney injury. Pediatr Nephrol 2021; 36:1075-1086. [PMID: 32356189 PMCID: PMC7606209 DOI: 10.1007/s00467-020-04557-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/26/2020] [Accepted: 03/27/2020] [Indexed: 12/25/2022]
Abstract
Acute kidney injury (AKI) is common in critically ill children and adults, and sepsis-associated AKI (SA-AKI) is the most frequent cause of AKI in the ICU. To date, no mechanistically targeted therapeutic interventions have been identified. High-throughput "omic" technologies (e.g., genomics, proteomics, metabolomics, etc.) offer a new angle of approach to achieve this end. In this review, we provide an update on the current understanding of SA-AKI pathophysiology. Omic technologies themselves are briefly discussed to facilitate interpretation of studies using them. We next summarize the body of SA-AKI research to date that has employed omic technologies. Importantly, omic studies are helping to elucidate a pathophysiology of SA-AKI centered around cellular stress responses, metabolic changes, and dysregulation of energy production that underlie its clinical features. Finally, we propose opportunities for future research using clinically relevant animal models, integrating multiple omic technologies and ultimately progressing to translational human studies focusing therapeutic strategies on targeted disease mechanisms.
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Privratsky JR, Li YJ, Haynes C, Podgoreanu M, Mathew J, Shah SH, Stafford-Smith M. Apolipoprotein L1 (APOL1) Coding Variants Are Associated With Creatinine Rise After Cardiac Surgery. J Cardiothorac Vasc Anesth 2020; 34:3314-3320. [PMID: 32434723 PMCID: PMC7655610 DOI: 10.1053/j.jvca.2020.04.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 04/10/2020] [Accepted: 04/13/2020] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Acute kidney injury (AKI) is a complication of cardiac surgery that is considerably more common in African Americans (1.5-fold). Although homozygous status for apolipoprotein L1 (APOL1) risk alleles is associated with chronic kidney disease in individuals of African ancestry, whether these coding variants confer AKI risk is unknown. The present study examined whether APOL1 homozygous risk allele status was associated with AKI in African Americans after cardiac surgery. DESIGN Retrospective analysis of a cohort. SETTING Single-center university hospital. PARTICIPANTS African American patients from the CATHeterization GENetics study cohort who underwent cardiac surgery with cardiopulmonary bypass. INTERVENTIONS Genotyping of APOL1 alleles. MEASUREMENTS AND MAIN RESULTS Data from 125 African American patients included 12 APOL1 risk (ie, homozygous for risk alleles) patients and 113 APOL1 control (ie, wildtype or heterozygous for risk alleles) patients. The primary outcome to reflect AKI was peak serum creatinine rise after surgery relative to the preoperative creatinine (%ΔCr). The secondary outcome was Kidney Disease: Improving Global Outcomes (KDIGO) AKI criteria. In the primary analysis, peak creatinine rise was higher in risk compared with control patients in both univariate (%ΔCr 69.1 v 29.6%; p = 0.005) and multivariate regression (%ΔCr 88.5 v 43.7%; p = 0.006) analyses. For the secondary outcome, a trend toward KDIGO AKI development was noted in APOL1 risk patients, but this was not statistically significant. CONCLUSIONS African American cardiac surgery patients homozygous for APOL1 chronic kidney disease risk variants averaged a more than 2-fold higher postoperative creatinine rise even after adjustment for other risk factors, suggesting these alleles also are independent risk factors for AKI.
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Affiliation(s)
- Jamie R Privratsky
- Department of Anesthesiology, Duke University Medical Center, Durham, NC.
| | - Yi-Ju Li
- Department of Anesthesiology, Duke University Medical Center, Durham, NC; Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC; Duke Molecular Physiology Institute, Duke University, Durham, NC
| | - Carol Haynes
- Department of Medicine, Duke University Medical Center, Durham, NC
| | - Mihai Podgoreanu
- Department of Anesthesiology, Duke University Medical Center, Durham, NC
| | - Joseph Mathew
- Department of Anesthesiology, Duke University Medical Center, Durham, NC
| | - Svati H Shah
- Duke Molecular Physiology Institute, Duke University, Durham, NC; Department of Medicine, Duke University Medical Center, Durham, NC
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10
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Ethnicity-Stratified Analysis of the Association between TNF- α Genetic Polymorphisms and Acute Kidney Injury: A Systematic Review and Meta-Analysis. BIOMED RESEARCH INTERNATIONAL 2020; 2020:5262351. [PMID: 33083469 PMCID: PMC7556080 DOI: 10.1155/2020/5262351] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 09/02/2020] [Accepted: 09/07/2020] [Indexed: 12/25/2022]
Abstract
Background Several studies have reported conflicting findings regarding the association between tumor necrosis factor-alpha (TNF-α) genetic polymorphisms and acute kidney injury (AKI). Therefore, we performed this meta-analysis to further investigate whether TNF-α variants are related to AKI susceptibility. Methods A comprehensive search of observational studies on the association of TNF-α polymorphism with AKI susceptibility was conducted in the PubMed, Cochrane, and Embase databases through February 10, 2020. Pooled odds ratios (ORs) and 95% corresponding confidence intervals (95% CIs) were analyzed to evaluate the strength of the relationship. Results A total of 8 studies involving 6694 patients (2559 cases and 4135 controls) were included. Pooled analysis showed a trend of increased risk between the TNF-α rs1800629 variant and AKI (A vs. G: OR [95%CI] = 1.33 [0.98‐1.81]) among the overall population. Ethnicity-stratified analysis indicated that the TNF-α rs1800629 variant was a risk factor for Asians (OR [95%CI] = 1.93 [1.59‐2.35]) while it is not for Caucasians (OR [95%CI] = 1.04 [0.91‐1.20]). Additionally, we also found that TNF-α rs1799964 polymorphism was observed to have a significant relationship with AKI risk in Asian patients (C vs. T, OR [95%CI] = 1.26 [1.11‐1.43]). Conclusions The TNF rs1800629 polymorphism exhibited a trend toward AKI susceptibility with ethnic differences. The relationship was found to be significant among the Asian population, but not among those of Caucasian origin. Additionally, the TNF-α rs1799964 polymorphism was also related to a significantly increased risk of AKI in Asians.
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11
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Major Adverse Kidney Events Are Associated with the Aquaporin 5 -1364A/C Promoter Polymorphism in Sepsis: A Prospective Validation Study. Cells 2020; 9:cells9040904. [PMID: 32272738 PMCID: PMC7226758 DOI: 10.3390/cells9040904] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 04/05/2020] [Indexed: 12/29/2022] Open
Abstract
Since the functionally important AQP5 -1364A/C single nucleotide promoter polymorphism alters key mechanisms of inflammation and survival in sepsis, it may affect the risk of an acute kidney injury. Accordingly, we tested the hypothesis in septic patients that this AQP5 polymorphism is associated with major adverse kidney events and also validated its impact on 90-day survival. In this prospective observational monocentric genetic association study 282 septic patients were included and genotyped for the AQP5 –1364A/C polymorphism (rs3759129). The primary endpoint was the development of major adverse kidney events within 30 days. In AC/CC genotypes, major adverse kidney events were less frequent (41.7%) than in AA genotypes (74.3%; OR:0.34; 95%-CI: 0.18–0.62; p < 0.001). Ninety-day survival was also associated with the AQP5 polymorphism (p = 0.004), with 94/167 deaths (56.3%) in AA genotypes, but only 46/115 deaths (40.0%) in C-allele carriers. Multiple proportional hazard analysis revealed AC/CC genotypes to be at significantly lower risk for death within 90 days (HR: 0.60; 95%-CI: 0.42-0.86; p = 0.006). These findings confirm the important role of the AQP5 -1364A/C polymorphism as an independent prognostic factor in sepsis. Furthermore, we demonstrate a strong association between this AQP5 polymorphism and susceptibility for major adverse kidney events suggesting a promising characteristic in terms of precision medicine.
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12
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Misra PS, Silva E Silva V, Collister D. Roadblocks and Opportunities to the Implementation of Novel Therapies for Acute Kidney Injury: A Narrative Review. Can J Kidney Health Dis 2019; 6:2054358119880519. [PMID: 31636913 PMCID: PMC6787878 DOI: 10.1177/2054358119880519] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 08/12/2019] [Indexed: 11/29/2022] Open
Abstract
Background: Acute kidney injury (AKI) is a complex and heterogeneous clinical syndrome
with limited effective treatment options. Therefore, a coherent research
structure considering AKI pathophysiology, treatment, translation, and
implementation is critical to advancing patient care in this area. Purpose of review: In this narrative review, we discuss novel therapies for AKI from their
journey from bench to bedside to population and focus on roadblocks and
opportunities to their successful implementation. Sources of information: Peer-reviewed articles, opinion pieces from research leaders and research
funding agencies, and clinical and research expertise. Methods: This narrative review details the challenges of translation of preclinical
studies in AKI and highlights trending research areas and innovative designs
in the field. Key developments in preclinical research, clinical trials, and
knowledge translation are discussed. Furthermore, this article discusses the
current need to involve patients in clinical research and the barriers and
opportunities for effective knowledge translation. Key findings: Preclinical studies have largely been unsuccessful in generating novel
therapies for AKI, due both to the complexity and heterogeneity of the
disease, as well as the limitations of commonly available preclinical models
of AKI. The emergence of kidney organoid technology may be an opportunity to
reverse this trend. However, the roadblocks encountered at the bench have
not precluded researchers from running well-designed and impactful clinical
trials, and the field of renal replacement therapy in AKI is highlighted as
an area that has been particularly active. Meanwhile, knowledge translation
initiatives are bolstered by the presence of large administrative databases
to permit ongoing monitoring of clinical practices and outcomes, with
research output from such evaluations having the potential to directly
impact patient care and inform the generation of meaningful clinical
practice guidelines. Limitations: There are limited objective data examining the process of knowledge creation
and translation in AKI, and as such the opinions and research areas of the
authors are significantly drawn upon in the discussion. Implications: The use of an organized knowledge-to-action framework involving multiple
stakeholders, especially patient partners, is critical to translating basic
research findings to improvements in patient care in AKI, an area where
effective treatment options are lacking.
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Affiliation(s)
- Paraish S Misra
- Kidney Research Scientist Core Education and National Training Program, Canada.,McEwen Stem Cell Institute, Department of Medicine, University of Toronto, ON, Canada
| | - Vanessa Silva E Silva
- Kidney Research Scientist Core Education and National Training Program, Canada.,The Canadian Donation and Transplantation Research Program, Canada.,School of Nursing, Queen's University, Kingston, ON, Canada.,School of Nursing, Federal University of Sao Paulo, Brazil
| | - David Collister
- Kidney Research Scientist Core Education and National Training Program, Canada.,Department of Medicine, McMaster University, Hamilton, ON, Canada
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13
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Vilander LM, Vaara ST, Kaunisto MA, Pettilä V, Study Group TF. Common Inflammation-Related Candidate Gene Variants and Acute Kidney Injury in 2647 Critically Ill Finnish Patients. J Clin Med 2019; 8:jcm8030342. [PMID: 30862128 PMCID: PMC6463106 DOI: 10.3390/jcm8030342] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 02/26/2019] [Accepted: 03/04/2019] [Indexed: 12/19/2022] Open
Abstract
Acute kidney injury (AKI) is a syndrome with high incidence among the critically ill. Because the clinical variables and currently used biomarkers have failed to predict the individual susceptibility to AKI, candidate gene variants for the trait have been studied. Studies about genetic predisposition to AKI have been mainly underpowered and of moderate quality. We report the association study of 27 genetic variants in a cohort of Finnish critically ill patients, focusing on the replication of associations detected with variants in genes related to inflammation, cell survival, or circulation. In this prospective, observational Finnish Acute Kidney Injury (FINNAKI) study, 2647 patients without chronic kidney disease were genotyped. We defined AKI according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria. We compared severe AKI (Stages 2 and 3, n = 625) to controls (Stage 0, n = 1582). For genotyping we used iPLEXTM Assay (Agena Bioscience). We performed the association analyses with PLINK software, using an additive genetic model in logistic regression. Despite the numerous, although contradictory, studies about association between polymorphisms rs1800629 in TNFA and rs1800896 in IL10 and AKI, we found no association (odds ratios 1.06 (95% CI 0.89–1.28, p = 0.51) and 0.92 (95% CI 0.80–1.05, p = 0.20), respectively). Adjusting for confounders did not change the results. To conclude, we could not confirm the associations reported in previous studies in a cohort of critically ill patients.
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Affiliation(s)
- Laura M Vilander
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine,University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland.
| | - Suvi T Vaara
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine,University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland.
| | - Mari A Kaunisto
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki,000014 Helsinki, Finland.
| | - Ville Pettilä
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine,University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland.
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Association between inflammatory-response gene polymorphisms and risk of acute kidney injury in children. Biosci Rep 2018; 38:BSR20180537. [PMID: 30429237 PMCID: PMC6294618 DOI: 10.1042/bsr20180537] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 10/31/2018] [Accepted: 11/06/2018] [Indexed: 01/01/2023] Open
Abstract
In the present study, we investigated the association of 12 polymorphisms in six inflammatory-response genes (TNF, IL6, IL10, IL18, NFKB1 and NFKBIA) with risk of acute kidney injury (AKI) in children. The polymorphisms were genotyped in 1138 children with AKI and 1382 non-AKI controls. Logistic regression analysis was performed to calculate the odds ratio for estimating the risk association. After accounting for Bonferroni correction and adjustment for potential confounders, significant association was observed for NFKB1 rs28362491, NFKBIA rs2233406 and NFKBIA rs696 polymorphisms (P < 0.004). All three polymorphisms were associated with a reduced risk of AKI. For rs28362491 polymorphism, the OR for ID vs. II comparison was 0.75 (95% CI = 0.58-0.83) while that for DD vs. II was 0.44 (95% CI = 0.30-0.67). For rs2233406 polymorphism, the CT vs. CC comparison showed an OR of 0.90 (95% CI = 0.39-0.99), while the TT vs. CC comparison showed an OR of 0.43 (95% CI = 0.33-0.80). For rs696 polymorphism, the OR for AG vs. AA comparison was 0.71 (95% CI = 0.43-0.89), while the GG vs. AA comparison showed an OR of 0.39 (95% CI = 0.21-0.71). In conclusion, NFKB1 rs28362491, NFKBIA rs2233406 and NFKBIA rs696 polymorphisms may serve as biomarkers for predicting risk of AKI in children.
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