The Association Between Musculoskeletal Pain and Circulating Ornithine: A Population-Based Study

Mäntyselkä, Pekka; Ali-Sisto, Toni; Kautiainen, Hannu; Niskanen, Leo; Viinamäki, Heimo; Velagapudi, Vidya; Lehto, Soili M.

doi:10.1093/pm/pnw285

Cited by 10 publications

(18 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We have applied our fully validated analytical methodology in various international and national biomedical research projects, epidemiological studies, clinical studies including dietary interventions, and clinical trials. We have successfully implemented our technology in the following research fields, including but not limited to: mitochondrial metabolism/disorders [ 17 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ], cancer [ 26 , 27 ], bone metabolism [ 18 ], endocrinology [ 28 , 29 ], psychiatric disorders [ 30 ], inflammatory bowel disease [ 31 ], viral infections [ 32 , 33 , 34 , 35 ], allergies [ 36 , 37 ], circadian rhythms [ 38 ], and pain research [ 39 ].…”

Section: Resultsmentioning

confidence: 99%

“…We have previously developed a robust, reproducible, and high-throughput targeted method for measuring 102 polar metabolites from various biological classes semiquantitatively in a single injection [ 17 , 18 ]. Furthermore, the method has been used in many biomedical and clinical studies for biomarker discovery [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. The metabolites were selected according to the following criteria: have important roles in many biological processes, are known biomarkers in several diseases and technical feasibility for developing an analytical method that covers all the metabolites in a single assay.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validation and Automation of a High-Throughput Multitargeted Method for Semiquantification of Endogenous Metabolites from Different Biological Matrices Using Tandem Mass Spectrometry

et al. 2018

Self Cite

View full text Add to dashboard Cite

The use of metabolomics profiling to understand the metabolism under different physiological states has increased in recent years, which created the need for robust analytical platforms. Here, we present a validated method for targeted and semiquantitative analysis of 102 polar metabolites that cover major metabolic pathways from 24 classes in a single 17.5-min assay. The method has been optimized for a wide range of biological matrices from various organisms, and involves automated sample preparation and data processing using an inhouse developed R-package. To ensure reliability, the method was validated for accuracy, precision, selectivity, specificity, linearity, recovery, and stability according to European Medicines Agency guidelines. We demonstrated an excellent repeatability of retention times (CV < 4%), calibration curves (R2 ≥ 0.980) in their respective wide dynamic concentration ranges (CV < 3%), and concentrations (CV < 25%) of quality control samples interspersed within 25 batches analyzed over a period of one year. The robustness was demonstrated through a high correlation between metabolite concentrations measured using our method and the NIST reference values (R2 = 0.967), including cross-platform comparability against the BIOCRATES AbsoluteIDQp180 kit (R2 = 0.975) and NMR analyses (R2 = 0.884). We have shown that our method can be successfully applied in many biomedical research fields and clinical trials, including epidemiological studies for biomarker discovery. In summary, a thorough validation demonstrated that our method is reproducible, robust, reliable, and suitable for metabolomics studies.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation and Automation of a High-Throughput Multitargeted Method for Semiquantification of Endogenous Metabolites from Different Biological Matrices Using Tandem Mass Spectrometry

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…We have applied our fully validated analytical methodology in various international and national biomedical research projects, epidemiological studies, clinical studies including dietary interventions, and clinical trials. We have successfully implemented our technology in the following research fields, including but not limited to: mitochondrial metabolism/disorders [11,17–23], cancer [24,25], bone metabolism [12], endocrinology [26,27], psychiatric disorders [28], inflammatory bowel disease [29], viral infections [30–33], allergies [34,35], circadian rhythms [36], and pain research [37].…”

Section: Resultsmentioning

confidence: 99%

“…Our method has clear advantages compared to other published methods, including shorter analysis time, high throughput, automation, and semi-quantitation using individual external 11-point calibration curves along with 12 labeled internal standards. Furthermore, the method has been used in many biomedical and clinical studies for biomarker discovery [10,11,17–37].…”

Section: Introductionmentioning

confidence: 99%

Validation and automation of a high-throughput multi-targeted method for semi-quantification of endogenous metabolites from different biological matrices using tandem mass spectrometry

Nandania

Peddinti

Pessia

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

The use of metabolomics profiling to understand metabolism under different 20 physiological states has increased in recent years, which created the need for robust analytical 21 platforms. Here, we present a validated method for targeted and semi-quantitative analysis of 102 22 polar metabolites that covers major metabolic pathways from 24 classes in a single 17.5-min assay. 23The method has been optimized for a wide range of biological matrices from various organisms, 24 and involves automated sample preparation, and data processing using in-house developed R 25 package. To ensure reliability, the method was validated for accuracy, precision, selectivity, 26 specificity, linearity, recovery, and stability according to European Medicines Agency guidelines. 27We demonstrated excellent repeatability of the retention times (CV<4%), calibration curves 28 (R 2 ≥0.980) in their respective wide dynamic concentration ranges (CV<3%), and concentrations 29 (CV<25%) of quality control samples interspersed within 25 batches analyzed over a period of one- 30year. The robustness was demonstrated through high correlation between metabolite 31 concentrations measured using our method and NIST reference values (R 2 =0.967), including cross-32 platform comparability against the BIOCRATES AbsoluteIDQp180 kit (R 2 =0.975) and NMR analyses 33 (R 2 =0.884). We have shown that our method can be successfully applied in many biomedical 34 research fields and clinical trials, including epidemiological studies for biomarker discovery. In 35 summary, a thorough validation demonstrated that our method is reproducible, robust, reliable, 36 and suitable for metabolomics studies.

show abstract

“…It is derived chemically from its precursor ornithine and intermediary putrescine. Serum ornithine is found in higher concentrations in patients with persistent musculoskeletal pain . Spermidine is also derived from putrescine.…”

Section: Natural Compoundsmentioning

confidence: 99%

Cell‐based therapies and natural compounds for pain

Shparberg

Vickers

2018

Aust Endodontic J

View full text Add to dashboard Cite

Cell-based therapies and natural compounds are increasingly being acknowledged for their potential roles in managing a variety of conditions, including pain. Stem cells have gained attention over the years for their contribution to our understanding of normal and abnormal physiology, their capacity to assist in efficient drug design and screening and their role in regenerative medicine. This chapter will review our current understanding of the complex pathophysiology of pain using adult, embryonic and induced pluripotent stem cells as models. In addition, this chapter outlines several natural compounds that are used in the treatment of neuropathic pain, with a focus on evidence-based information of the polyphenols, polyamines and endocannabinoids derived from plants and food sources. Advantages of these compounds are the higher margins of safety, low incidence of side effects. Recent evidence shows several polyphenols can induce differentiation of healthy stem cells yet inhibit cancer stem cells.

show abstract

The Association Between Musculoskeletal Pain and Circulating Ornithine: A Population-Based Study

Abstract: Ornithine levels are elevated in general population subjects with persistent pain.

Cited by 10 publications

References 21 publications

Validation and Automation of a High-Throughput Multitargeted Method for Semiquantification of Endogenous Metabolites from Different Biological Matrices Using Tandem Mass Spectrometry

Validation and Automation of a High-Throughput Multitargeted Method for Semiquantification of Endogenous Metabolites from Different Biological Matrices Using Tandem Mass Spectrometry

Validation and automation of a high-throughput multi-targeted method for semi-quantification of endogenous metabolites from different biological matrices using tandem mass spectrometry

Cell‐based therapies and natural compounds for pain

Contact Info

Product

Resources

About