Literature DB >> 32949984

Potential causal role of l-glutamine in sickle cell disease painful crises: A Mendelian randomization analysis.

Yann Ilboudo1, Melanie E Garrett2, Pablo Bartolucci3, Carlo Brugnara4, Clary B Clish5, Joel N Hirschhorn6, Frédéric Galactéros3, Allison E Ashley-Koch2, Marilyn J Telen7, Guillaume Lettre8.   

Abstract

In a recent clinical trial, the metabolite l-glutamine was shown to reduce painful crises in sickle cell disease (SCD) patients. To support this observation and identify other metabolites implicated in SCD clinical heterogeneity, we profiled 129 metabolites in the plasma of 705 SCD patients. We tested correlations between metabolite levels and six SCD-related complications (painful crises, cholecystectomy, retinopathy, leg ulcer, priapism, aseptic necrosis) or estimated glomerular filtration rate (eGFR), and used Mendelian randomization (MR) to assess causality. We found a potential causal relationship between l-glutamine levels and painful crises (N = 1278, odds ratio (OR) [95% confidence interval] = 0.68 [0.52-0.89], P = 0.0048). In two smaller SCD cohorts (N = 299 and 406), the protective effect of l-glutamine was observed (OR = 0.82 [0.50-1.34]), although the MR result was not significant (P = 0.44). We identified 66 significant correlations between the levels of other metabolites and SCD-related complications or eGFR. We tested these correlations for causality using MR analyses and found no significant causal relationship. The baseline levels of quinolinic acid were associated with prospectively ascertained survival in SCD patients, and this effect was dependent on eGFR. Metabolomics provide a promising approach to prioritize small molecules that may serve as biomarkers or drug targets in SCD.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3-Ureidopropionate; Biomarkers; Mendelian randomization; Sickle cell disease; l-Glutamine

Mesh:

Substances:

Year:  2020        PMID: 32949984      PMCID: PMC7686124          DOI: 10.1016/j.bcmd.2020.102504

Source DB:  PubMed          Journal:  Blood Cells Mol Dis        ISSN: 1079-9796            Impact factor:   3.039


  63 in total

1.  Missing value estimation methods for DNA microarrays.

Authors:  O Troyanskaya; M Cantor; G Sherlock; P Brown; T Hastie; R Tibshirani; D Botstein; R B Altman
Journal:  Bioinformatics       Date:  2001-06       Impact factor: 6.937

2.  Detrimental effects of adenosine signaling in sickle cell disease.

Authors:  Yujin Zhang; Yingbo Dai; Jiaming Wen; Weiru Zhang; Almut Grenz; Hong Sun; Lijian Tao; Guangxiu Lu; Danny C Alexander; Michael V Milburn; Louvenia Carter-Dawson; Dorothy E Lewis; Wenzheng Zhang; Holger K Eltzschig; Rodney E Kellems; Michael R Blackburn; Harinder S Juneja; Yang Xia
Journal:  Nat Med       Date:  2010-12-19       Impact factor: 53.440

3.  Genome-wide association study of erythrocyte density in sickle cell disease patients.

Authors:  Yann Ilboudo; Pablo Bartolucci; Alicia Rivera; Josepha-Clara Sedzro; Mélissa Beaudoin; Marie Trudel; Seth L Alper; Carlo Brugnara; Frédéric Galactéros; Guillaume Lettre
Journal:  Blood Cells Mol Dis       Date:  2017-05-13       Impact factor: 3.039

Review 4.  Alanine and aspartate aminotransferase and glutamine-cycling pathway: their roles in pathogenesis of metabolic syndrome.

Authors:  Silvia Sookoian; Carlos J Pirola
Journal:  World J Gastroenterol       Date:  2012-08-07       Impact factor: 5.742

5.  Glutamine-dependent NAD+ synthetase. How a two-domain, three-substrate enzyme avoids waste.

Authors:  Marzena Wojcik; Heather F Seidle; Pawel Bieganowski; Charles Brenner
Journal:  J Biol Chem       Date:  2006-09-05       Impact factor: 5.157

6.  beta-Ureidopropionase deficiency: a novel inborn error of metabolism discovered using NMR spectroscopy on urine.

Authors:  S H Moolenaar; G Göhlich-Ratmann; U F Engelke; M Spraul; E Humpfer; P Dvortsak; T Voit; G F Hoffmann; C Bräutigam; A B van Kuilenburg; A van Gennip; P Vreken; R A Wevers
Journal:  Magn Reson Med       Date:  2001-11       Impact factor: 4.668

7.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

8.  Structural modeling of a novel SLC38A8 mutation that causes foveal hypoplasia.

Authors:  Marcus A Toral; Gabriel Velez; Katherine Boudreault; Kellie A Schaefer; Yu Xu; Norman Saffra; Alexander G Bassuk; Stephen H Tsang; Vinit B Mahajan
Journal:  Mol Genet Genomic Med       Date:  2017-02-26       Impact factor: 2.183

9.  Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases.

Authors:  Marie Verbanck; Chia-Yen Chen; Benjamin Neale; Ron Do
Journal:  Nat Genet       Date:  2018-04-23       Impact factor: 38.330

10.  Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data.

Authors:  Frances Wensley; Pei Gao; Stephen Burgess; Stephen Kaptoge; Emanuele Di Angelantonio; Tina Shah; James C Engert; Robert Clarke; George Davey-Smith; Børge G Nordestgaard; Danish Saleheen; Nilesh J Samani; Manjinder Sandhu; Sonia Anand; Mark B Pepys; Liam Smeeth; John Whittaker; Juan Pablo Casas; Simon G Thompson; Aroon D Hingorani; John Danesh
Journal:  BMJ       Date:  2011-02-15
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