Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies

Metabolomics, Journal Year: 2018, Volume and Issue: 14(6)

Published: May 18, 2018

Quality assurance (QA) and quality control (QC) are two management processes that integral to the success of metabolomics including their application for acquisition high data in any high-throughput analytical chemistry laboratory. QA defines all planned systematic activities implemented before samples collected, provide confidence a subsequent process will fulfil predetermined requirements quality. QC can be defined as operational techniques used measure report these after acquisition. This tutorial review guide reader through use system suitability samples, why should applied how reported. System assess operation lack contamination platform prior sample analysis. Isotopically-labelled internal standards stability each analysed. Pooled condition platform, perform intra-study reproducibility measurements correct mathematically errors. Standard reference materials long-term inter-study inter-laboratory assessment data.

Language: Английский

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Exercise as a prescription for patients with various diseases

Journal of sport and health science/Journal of Sport and Health Science, Journal Year: 2019, Volume and Issue: 8(5), P. 422 - 441

Published: April 18, 2019

A growing understanding of the benefits exercise over past few decades has prompted researchers to take an interest in possibilities therapy. Because each sport its own set characteristics and physiological complications that tend occur during training, effects underlying mechanisms remain unclear. Thus, first step probing on different diseases is selection optimal protocol. This review summarizes latest prescription treatments for 26 diseases: musculoskeletal system (low back pain, tendon injury, osteoporosis, osteoarthritis, hip fracture), metabolic (obesity, type 2 diabetes, 1 nonalcoholic fatty liver disease), cardio-cerebral vascular (coronary artery disease, stroke, chronic heart failure), nervous (Parkinson's Huntington's Alzheimer's depression, anxiety disorders), respiratory (chronic obstructive pulmonary interstitial lung after transplantation), urinary kidney disease cancers (breast cancer, colon prostate cancer). Each displayed a corresponding table. The recommended type, intensity, frequency prescriptions are summarized, therapy prevention rehabilitation discussed.

Language: Английский

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Metabolomics for clinical use and research in chronic kidney disease

Nature Reviews Nephrology, Journal Year: 2017, Volume and Issue: 13(5), P. 269 - 284

Published: March 6, 2017

Language: Английский

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An overview of renal metabolomics

Kidney International, Journal Year: 2016, Volume and Issue: 91(1), P. 61 - 69

Published: Oct. 1, 2016

Language: Английский

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Risk Factors for CKD Progression

Clinical Journal of the American Society of Nephrology, Journal Year: 2020, Volume and Issue: 16(4), P. 648 - 659

Published: Nov. 11, 2020

The Chronic Renal Insufficiency Cohort (CRIC) Study is an ongoing, multicenter, longitudinal study of nearly 5500 adults with CKD in the United States. Over past 10 years, CRIC has made significant contributions to understanding factors associated progression. This review summarizes findings from studies evaluating risk progression Study, grouped into following six thematic categories: ( 1 ) sociodemographic and economic (sex, race/ethnicity, nephrology care); 2 behavioral (healthy lifestyle, diet, sleep); 3 genetic (apoL1, genome-wide association study, renin-angiotensin-aldosterone system pathway genes); 4 cardiovascular (atrial fibrillation, hypertension, vascular stiffness); 5 metabolic (fibroblast growth factor 23 urinary oxalate); 6 novel (AKI biomarkers kidney injury). Additionally, we highlight areas where future research needed, opportunities for interdisciplinary collaboration.

Language: Английский

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New Potential Biomarkers for Chronic Kidney Disease Management—A Review of the Literature

International Journal of Molecular Sciences, Journal Year: 2020, Volume and Issue: 22(1), P. 43 - 43

Published: Dec. 22, 2020

The prevalence of chronic kidney disease (CKD) is increasing worldwide, and the mortality rate continues to be unacceptably high. biomarkers currently used in clinical practice are considered relevant when there already significant renal impairment compromising early use potentially successful therapeutic interventions. More sensitive specific detect CKD earlier on improve patients' prognoses an important unmet medical need. aim this review summarize recent literature new promising function, tubular lesions, endothelial dysfunction inflammation, auspicious findings from metabolomic studies field. Most studied require further validation large a broad range populations order implemented into routine management. A panel biomarkers, including damage, seems reasonable approach applied allow diagnosis better characterization based underlying etiologic process.

Language: Английский

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Metabolomics Approaches for the Diagnosis and Understanding of Kidney Diseases

Metabolites, Journal Year: 2019, Volume and Issue: 9(2), P. 34 - 34

Published: Feb. 14, 2019

Diseases of the kidney are difficult to diagnose and treat. This review summarises definition, cause, epidemiology treatment some these diseases including chronic disease, diabetic nephropathy, acute injury, cancer, transplantation polycystic diseases. Numerous studies have adopted a metabolomics approach uncover new small molecule biomarkers improve specificity sensitivity diagnosis biochemical mechanisms that may elucidate cause progression work includes description mass spectrometry-based approaches, currently available tools, emphasises findings from We included varied selection (disease, model, sample number, analytical platform) focused on metabolites which were commonly reported as discriminating features between disease control. These likely be robust indicators processes, therefore potential biomarkers, warranting further investigation.

Language: Английский

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Amino Acid Metabolites Associated with Chronic Kidney Disease: An Eight-Year Follow-Up Korean Epidemiology Study

Biomedicines, Journal Year: 2020, Volume and Issue: 8(7), P. 222 - 222

Published: July 17, 2020

The discovery of metabolomics-based biomarkers has been a focus recent kidney dysfunction research. In the present study, we aimed to identify metabolites associated with chronic disease (CKD) in general population using cross-sectional study design. At baseline, 6.5% subjects had CKD. Pearson correlation analysis showed that 28 were significantly estimated glomerular filtration rate (eGFR) after Bonferroni correction. Among these metabolites, 4 acylcarnitines, 12 amino acids, biogenic amines, 1 phosphatidylcholine, and sphingolipid CKD (

Language: Английский

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Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology

Journal of the American Society of Nephrology, Journal Year: 2022, Volume and Issue: 33(2), P. 375 - 386

Published: Jan. 11, 2022

Untargeted plasma metabolomic profiling combined with machine learning (ML) may lead to discovery of metabolic profiles that inform our understanding pediatric CKD causes. We sought identify signatures in based on diagnosis: FSGS, obstructive uropathy (OU), aplasia/dysplasia/hypoplasia (A/D/H), and reflux nephropathy (RN).

Language: Английский

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Causal effects of human serum metabolites on occurrence and progress indicators of chronic kidney disease: a two-sample Mendelian randomization study

Frontiers in Nutrition, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 8, 2024

Background Chronic kidney disease (CKD) is often accompanied by alterations in the metabolic profile of body, yet causative role these changes onset CKD remains a subject ongoing debate. This study investigates links between metabolites and leveraging results genomewide association (GWAS) from 486 blood metabolites, employing bulk two-sample Mendelian randomization (MR) analyses. Building on that exhibit causal relationship with CKD, we delve deeper using enrichment analysis to identify pathways may contribute development progression CKD. Methods In conducting analysis, treated GWAS data for traits as exposure variables while estimated glomerular filtration rate based serum creatinine (eGFRcrea), microalbuminuria, urinary albumin-to-creatinine ratio (UACR) sourced CKDGen consortium outcome variables. Inverse-variance weighting (IVW) was used outcome. Using Bonferroni correction, more robust relationships are screened. Additionally, IVW-positive were supplemented weighted median, MR-Egger, mode, simple mode. Furthermore, performed sensitivity analyses Cochran Q test, MR-Egger intercept MR-PRESSO, leave-one-out (LOO) test. Pathway conducted two databases, KEGG SMPDB, eligible metabolites. Results During batch analyses, upon completion inverse-variance approach, directional consistency checks, 78 found meet criteria. The following four satisfy correction: mannose, N-acetylornithine, glycine, bilirubin (Z, Z), mannose causally related all outcomes By pathway identified eight occurrence progression. Conclusion Based present met correction had associations eGFRcrea, UACR. As potential target diagnosis treatment, believed play an important

Language: Английский

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