Metabolomics in the Analysis of Inflammatory Diseases

Kapoor, Sabrina; Fitzpatrick, Martin; Clay, Elizabeth; Bayley, Rachel; Wallace, Graham R.; Young, Stephen P.

doi:10.5772/31814

Cited by 12 publications

(9 citation statements)

References 80 publications

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“…These results are consistent with the known bidirectional relationship between obesity and low-grade inflammation, which contributes to systemic metabolic dysfunction that is associated with obesity-linked disorders [4]. In the same way, an inflammatory reaction is also mediated by the classic cardinal signs of inflammation (eg, pain) [52]. Therefore, it is logical to think that a reduction in pain reported by breast cancer survivors can be a predictor of a reduction in IL-6 concentration such as that observed in our results.…”

Section: Discussionsupporting

confidence: 85%

Association Between the Use of a Mobile Health Strategy App and Biological Changes in Breast Cancer Survivors: Prospective Pre-Post Study

et al. 2019

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Background There is a bidirectional relationship between chronic low-grade inflammation and cancer. Inflammatory markers, such as interleukin-6 (IL-6), have been associated with both the malignant transformation of epithelial cells and tumor progression, thus linking low-grade inflammation with a higher risk of cancer and recurrence in the survival phase. Therefore, they are considered valuable prognostic biomarkers. Knowing and finding appropriate primary prevention strategies to modify these parameters is a major challenge in reducing the risk of cancer recurrence and increasing survival. Different therapeutic strategies have shown efficacy in the modification of these and other biological parameters, but with contradictory results. There are apparently no strategies in which telemedicine, and specifically mobile health (mHealth), are used as a means to potentially cause biological changes. Objective The objectives of this study were to: (1) check whether it is feasible to find changes in inflammation biomarkers through an mHealth strategy app as a delivery mechanism of an intervention to monitor energy balance; and (2) discover potential predictors of change of these markers in breast cancer survivors (BCSs). Methods A prospective quasi-experimental pre-post study was conducted through an mHealth energy balance monitoring app with 73 BCSs, defined as stage I-IIIA of breast cancer and at least six months from the completion of the adjuvant therapy. Measurements included were biological salivary markers (IL-6 and C-reactive protein [CRP]), self-completed questionnaires (the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, the user version of the Mobile Application Rating Scale [uMARS] and an ad hoc clinical and sociodemographic questionnaire) and physical objective measures (accelerometry, weight and height). In addition, using the logging data of the mHealth app, the rate of use (in days) was recorded during the entire experimental phase of the study. Using Stata software, a paired two-tailed t test, Pearson and Spearman correlations, and a stepwise multiple regression analysis were used to interpret the data. Results Analyzing changes in inflammatory biomarker concentrations after using the mHealth app, differences between preassessment CRP (4899.04 pg/ml; SD 1085.25) and IL-6 (87.15 pg/ml; SD 33.59) and postassessment CRP (4221.24 pg/ml; SD 911.55) and IL-6 (60.53 pg/ml; SD 36.31) showed a significant decrease in both markers, with a mean difference of –635.25 pg/ml (95% CI –935.65 to –334.85; P<.001) in CRP and –26.61 pg/ml (95% CI –42.51 to –10.71; P=.002) in IL-6. Stepwise regression analyses revealed that changes in global quality of life, as well as uMARS score and hormonal therapy, were possible predictors of change in CRP concentration after using the mHealth app. In the same way, the type of tumor removal surgery conducted, as well as changes in weight and pain score, were possible predictors of change in IL-6 concentration after using the app. Conclusions In conclusion, through the results of this study, we hypothesize that there is a possible association between an mHealth energy balance monitoring strategy and biological changes in BCSs. These changes could be explained by different biopsychosocial parameters, such as the use of the application itself, quality of life, pain, type of tumor removal surgery, hormonal treatment or obesity.

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Section: Discussionsupporting

confidence: 85%

Association Between the Use of a Mobile Health Strategy App and Biological Changes in Breast Cancer Survivors: Prospective Pre-Post Study

et al. 2019

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“…These conditions are associated with dysregulated metabolomics pathways. The inflammatory and immunological regulatory receptors, transporters and enzymes have been found to be involved in modulating the levels of biological biomarkers, including metabolic biomarkers in the blood [64][65][66]. Cardiovascular diseases are also associated with changes in the serum levels of ions and metabolites, which may further progress the diseases.…”

Section: Discussionmentioning

confidence: 99%

Serum Metabolomic Analysis of Male Patients with Cannabis or Amphetamine Use Disorder

et al. 2022

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Studies have demonstrated that chronic consumption of abused drugs induces alterations in several proteins that regulate metabolism. For instance, methamphetamine exposure reduces glucose levels. Fatty and amino acid levels were altered in groups exposed to abused drugs. Therefore, in our study, we investigated the serum metabolomic profile of patients diagnosed with cannabis and/or amphetamine use disorders. Blood was obtained from subjects (control, amphetamine, and cannabis). Detection of serum metabolites was performed using gas chromatography. The ratio peak areas for metabolites were analyzed across the three groups. Both cannabis and amphetamine groups showed higher d-erythrotetrafuranose, octadecanoic acid, hexadecenoic acid, trans-9-octadecanoic acid, lactic acid and methyl thio hydantoin metabolites compared with the control group. Moreover, cannabis patients were found to possess higher glycine, 9,12 octadecanoic acid malonic acid, phosphoric acid and prostaglandin F1a than controls. Our analysis showed that the identified metabolic profile of cannabis or amphetamine use disorder patients was different than control group. Our data indicated that chronic exposure to cannabis or amphetamine dysregulated metabolites in the serum. Future studies are warranted to explore the effects of these abused drugs on the metabolic proteins.

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“…For the majority of patients, RA is a progressive, life-long disease that shortens life expectancy by 3-20 years (20). Unfortunately, despite extensive research, RA pathogenesis remains unclear, and there is currently no cure for this disease (21).…”

Section: Discussionmentioning

confidence: 99%

Galangin protects human rheumatoid arthritis fibroblast‑like synoviocytes via suppression of the NF‑κB/NLRP3 pathway

Gao

Zhao

et al. 2018

Mol Med Report

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Rheumatoid arthritis (RA) is a chronic autoimmune disease that significantly affects patient quality of life. Galangin is an extract with multiple health benefits, including anti‑oxidative, anti‑proliferative, immunoprotective and cardioprotective effects. However, to the best of the authors' knowledge, no detailed studies have investigated its regulatory effects on the nuclear factor (NF)‑κB/NLR family pyrin domain containing 3 (NLRP3) signaling pathway. The present study aimed to investigate the protective mechanism of galangin in RA fibroblast‑like synoviocytes with regards to the NF‑κB/NLRP3 signaling pathway. Human RA fibroblast‑like synovium cells (RAFSCs) were treated with lipopolysaccharide (LPS) to induce inflammation. The levels of interleukin (IL)‑1β, tumor necrosis factor (TNF)‑α, IL‑18, inducible nitric oxide synthase (iNOS), cyclooxygenase (COX)‑2, prostaglandin E2 (PGE2), and nitric oxide (NO) were measured by enzyme‑linked immunosorbent assay or western blotting in the absence or presence of different concentrations of galangin. Superoxide dismutase (SOD) activity and malondialdehyde (MDA) content were additionally evaluated. Furthermore, factors involved in the NF‑κB/NLRP3 pathway, including NLRP3, apoptosis‑associated speck‑like protein containing A, IL‑1β, pro‑caspase‑1, caspase‑1, phosphorylated (p)‑NF‑κB inhibitor α and p‑NF‑κB, were assessed by western blotting. The results revealed that LPS significantly stimulated IL‑1β, TNF‑α, IL‑18, PGE2, NO, iNOS, COX‑2 and NF‑κB/NLRP3 factor expression, compared with the control. SOD activity was reduced. Pre‑treatment with galangin significantly attenuated the effects of LPS, and galangin was demonstrated to have effective anti‑oxidative properties. In conclusion, galangin protected RAFSCs through downregulation of the NF‑κB/NLRP3 signaling pathway. These findings suggested that galangin may provide a novel direction for the development of RA therapies in the future.

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Metabolomics in the Analysis of Inflammatory Diseases

Cited by 12 publications

References 80 publications

Association Between the Use of a Mobile Health Strategy App and Biological Changes in Breast Cancer Survivors: Prospective Pre-Post Study

Association Between the Use of a Mobile Health Strategy App and Biological Changes in Breast Cancer Survivors: Prospective Pre-Post Study

Serum Metabolomic Analysis of Male Patients with Cannabis or Amphetamine Use Disorder

Galangin protects human rheumatoid arthritis fibroblast‑like synoviocytes via suppression of the NF‑κB/NLRP3 pathway

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