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1.
Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation.
McBride, N, Yousefi, P, White, SL, Poston, L, Farrar, D, Sattar, N, Nelson, SM, Wright, J, Mason, D, Suderman, M, et al
BMC medicine. 2020;(1):366
Abstract
BACKGROUND Prediction of pregnancy-related disorders is usually done based on established and easily measured risk factors. Recent advances in metabolomics may provide earlier and more accurate prediction of women at risk of pregnancy-related disorders. METHODS We used data collected from women in the Born in Bradford (BiB; n = 8212) and UK Pregnancies Better Eating and Activity Trial (UPBEAT; n = 859) studies to create and validate prediction models for pregnancy-related disorders. These were gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HDP), small for gestational age (SGA), large for gestational age (LGA) and preterm birth (PTB). We used ten-fold cross-validation and penalised regression to create prediction models. We compared the predictive performance of (1) risk factors (maternal age, pregnancy smoking, body mass index (BMI), ethnicity and parity) to (2) nuclear magnetic resonance-derived metabolites (N = 156 quantified metabolites, collected at 24-28 weeks gestation) and (3) combined risk factors and metabolites. The multi-ethnic BiB cohort was used for training and testing the models, with independent validation conducted in UPBEAT, a multi-ethnic study of obese pregnant women. RESULTS Maternal age, pregnancy smoking, BMI, ethnicity and parity were retained in the combined risk factor and metabolite models for all outcomes apart from PTB, which did not include maternal age. In addition, 147, 33, 96, 51 and 14 of the 156 metabolite traits were retained in the combined risk factor and metabolite model for GDM, HDP, SGA, LGA and PTB, respectively. These include cholesterol and triglycerides in very low-density lipoproteins (VLDL) in the models predicting GDM, HDP, SGA and LGA, and monounsaturated fatty acids (MUFA), ratios of MUFA to omega 3 fatty acids and total fatty acids, and a ratio of apolipoprotein B to apolipoprotein A-1 (APOA:APOB1) were retained predictors for GDM and LGA. In BiB, discrimination for GDM, HDP, LGA and SGA was improved in the combined risk factors and metabolites models. Risk factor area under the curve (AUC 95% confidence interval (CI)): GDM (0.69 (0.64, 0.73)), HDP (0.74 (0.70, 0.78)) and LGA (0.71 (0.66, 0.75)), and SGA (0.59 (0.56, 0.63)). Combined risk factor and metabolite models AUC 95% (CI): GDM (0.78 (0.74, 0.81)), HDP (0.76 (0.73, 0.79)) and LGA (0.75 (0.70, 0.79)), and SGA (0.66 (0.63, 0.70)). For GDM, HDP and LGA, but not SGA, calibration was good for a combined risk factor and metabolite model. Prediction of PTB was poor for all models. Independent validation in UPBEAT at 24-28 weeks and 15-18 weeks gestation confirmed similar patterns of results, but AUCs were attenuated. CONCLUSIONS Our results suggest a combined risk factor and metabolite model improves prediction of GDM, HDP and LGA, and SGA, when compared to risk factors alone. They also highlight the difficulty of predicting PTB, with all models performing poorly.
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2.
1H NMR based pharmacometabolomics analysis of metabolic phenotype on predicting metabolism characteristics of losartan in healthy volunteers.
He, C, Liu, Y, Wang, Y, Tang, J, Tan, Z, Li, X, Chen, Y, Huang, Y, Chen, X, Ouyang, D, et al
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences. 2018;:15-23
Abstract
Inter-individual variability in drug metabolism and disposition is common in both preclinical and clinical researches. Losartan and its active metabolite EXP3174 present a high degree of inter-individual differences in blood concentrations that affect drug efficacy and side effect. Pharmacometabolomics has been increasingly applied on predicting the drug responses by analyzing the differences in metabolic profile. A pre-dose metabolic phenotype was investigated to interpret inter-individual variations in the metabolism characteristics of losartan. 1H Nuclear Magnetic Resonance (NMR) spectroscopy-based metabolic profiles were performed on 36 healthy Chinese male volunteers by measuring their pre-dose plasma samples. After oral administration of losartan, the concentrations of losartan and its bioactive metabolite EXP3174 were monitored by liquid chromatography-mass spectrometry (LC-MS). Orthogonal partial least-squares (O-PLS) model was conducted to select potential biomarkers that substantially contributed to the inter-individual variations in the metabolism features via analyzing the ratio of pharmacokinetics (PK) parameters of its metabolite to parent drug. Potential metabolites such as glycine, phosphorylcholine, choline, creatine, creatinine, lactate, citrate, α-glucose, and lipids showed strong correlations with metabolism features of losartan. In addition, the pathway analysis revealed that baseline lipid metabolism, the glycine, serine and threonine pathway, and glycolysis or gluconeogenesis metabolism pathway were significantly associated with the ratio of PK parameters of EXP3174 to losartan. Step-wise multiple linear regression (MLR) was constructed to investigate the potential roles of the selected biomarkers in predicting individualized metabolism characteristics of losartan. These results showed that the pre-dose individual metabolic traits may be a useful approach for characterizing individual differences in losartan metabolism characteristics and therefore for expediting personalized dose-setting in further clinical studies.
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3.
Magnetic Resonance Spectroscopy for Evaluating the Effect of Pulsed Electromagnetic Fields on Marrow Adiposity in Postmenopausal Women With Osteopenia.
Li, S, Jiang, H, Wang, B, Gu, M, Bi, X, Yin, Y, Wang, Y
Journal of computer assisted tomography. 2018;(5):792-797
Abstract
OBJECTIVE Pulsed electromagnetic fields (PEMFs) could promote osteogenic differentiation and suppress adipogenic differentiation in bone mesenchymal stem cells ex vivo. However, data on the effect of PEMF on marrow adiposity in humans remain elusive. We aimed to determine the in vivo effect of PEMF on marrow adiposity in postmenopausal women using magnetic resonance spectroscopy. METHODS Sixty-one postmenopausal women with osteopenia, aged 53 to 85 years, were randomly assigned to receive either PEMF treatment or placebo. The session was performed 3 times per week for 6 months. All women received adequate dietary calcium and vitamin D. Bone mineral density (BMD) by dual-energy x-ray absorptiometry, vertebral marrow fat content by magnetic resonance spectroscopy, and serum biomarkers were evaluated before and after 6 months of treatment. RESULTS A total of 27 (87.1%) and 25 (83.3%) women completed the treatment schedule in the PEMF and placebo groups, respectively. After the 6-month treatment, lumbar spine and hip BMD increased by 1.46% to 2.04%, serum bone-specific alkaline phosphatase increased by 3.23%, and C-terminal telopeptides of type 1 collagen decreased by 9.12% in the PEMF group (P < 0.05), whereas the mean percentage changes in BMD and serum biomarkers were not significant in the placebo group. Pulsed electromagnetic field treatment significantly reduced marrow fat fraction by 4.81%. The treatment difference between the 2 groups was -4.43% (95% confidence interval, -3.70% to -5.65%; P = 0.009). CONCLUSIONS Pulsed electromagnetic field is an effective physiotherapy in postmenopausal women, and this effect may, at least in part, regulate the amount of fat within the bone marrow. Magnetic resonance spectroscopy may serve as a complementary imaging biomarker for monitoring response to therapy in osteoporosis.
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4.
1H MR spectroscopy of the motor cortex immediately following transcranial direct current stimulation at 7 Tesla.
Ryan, K, Wawrzyn, K, Gati, JS, Chronik, BA, Wong, D, Duggal, N, Bartha, R
PloS one. 2018;(8):e0198053
Abstract
Transcranial direct current stimulation (tDCS) is a form of non-invasive brain stimulation that may modulate cortical excitability, metabolite concentration, and human behaviour. The supplementary motor area (SMA) has been largely ignored as a potential target for tDCS neurorehabilitation but is an important region in motor compensation after brain injury with strong efferent connections to the primary motor cortex (M1). The objective of this work was to measure tissue metabolite changes in the human motor cortex immediately following tDCS. We hypothesized that bihemispheric tDCS would change levels of metabolites involved in neuromodulation including N-acetylaspartate (NAA), glutamate (Glu), and creatine (tCr). In this single-blind, randomized, cross-over study, fifteen healthy adults aged 21-60 participated in two 7T MRI sessions, to identify changes in metabolite concentrations by magnetic resonance spectroscopy. Immediately after 20 minutes of tDCS, there were no significant changes in metabolite levels or metabolite ratios comparing tDCS to sham. However there was a trend toward increased NAA/tCr concentration (p = 0.08) in M1 under the stimulating cathode. There was a strong, positive correlation between the change in the absolute concentration of NAA and the change in the absolute concentration of tCr (p<0.001) suggesting an effect of tDCS. Both NAA and creatine are important markers of neurometabolism. Our findings provide novel insight into the modulation of neural metabolites in the motor cortex immediately following application of bihemispheric tDCS.
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5.
A Magnetic Resonance Spectroscopy Study of Lovastatin for Treating Bipolar Mood Disorder: A 4-Week Randomized Double-Blind, Placebo- Controlled Clinical Trial.
Lotfi, M, Shafiee, S, Ghanizadeh, A, Sigaroudi, MO, Razeghian, L
Recent patents on inflammation & allergy drug discovery. 2017;(2):133-141
Abstract
BACKGROUND No trial has examined the effect of lovastatin on the brain metabolites in patients with bipolar mood disorder. OBJECTIVES Current medications for treating bipolar disorders cause metabolic syndrome. It is supposed that lovastatin not only decreases the rate of metabolic syndrome but also impacts some brain metabolites and their ratio like common treatments that are measured by Magnetic Resonance Spectroscopy. METHODS 27 Manic phase patients were randomly allocated into two groups, lovastatin and placebo as their adjuant medication. Clinical symptoms were assessed at baseline, weeks 2, 4. The brain metabolites were measured at baseline and week 4. RESULT Regarding the change of clinical symptoms, no significant difference was found between two groups. However, lovastatin significantly increased the level of NAA in cingulate gyrus in comparison to the placebo group. Moreover, lovastatin more than placebo increased creatine in the left basal ganglia. Furthermore, choline/ creatine showed a significant decrease in the left basal ganglia in lovastatin group. CONCLUSION Using MRS after treating with lovastatin showed lovastatin increases NAA in cingulate gyrus, indicating the possible effect of NAA for increasing the reduced viable neuron. Moreover, the increment of Cr by lovastatin in the left basal ganglia suggests the role of lovastatin for maintaining energy homeostasis, anti-apoptotic activity and ATP production in bipolar disorder. Some patents using lovastatin as an adjuant therapy for treating bipolar patients and depression in MDD patients are also outlined. This trial was registered in the Iranian Clinical Trials Registry (http://www.irct.ir/) (IRCT201302203930N18).
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6.
Safety and effectiveness of therapeutic magnetic resonance in diabetic foot ulcers: a prospective randomised controlled trial.
Piaggesi, A, Sambataro, M, Nicoletti, C, Goretti, C, Lacopi, E, Coppelli, A
Journal of wound care. 2016;(12):704-711
Abstract
OBJECTIVE To test the efficacy and safety of therapeutic magnetic resonance (TMR) in the management of diabetic foot ulcers (DFU), the authors designed a prospective randomised controlled trial in three highly specialised diabetic foot clinics. METHOD All the patients consecutively visited in a period of 18 months were screened according to the inclusion (presence of an ulcer >1 cm2 in the foot lasting at least 6 weeks; ABPI>0.6; consent to participate in the study) and exclusion (Charcot's foot; local or systemic infections; chronic renal failure; any wearable electrically-driven life-supporting device) criteria. Patients, who were treated according to international guideline protocols, were randomised into two groups: group A received for four weeks the sham application of TMR, while group B received the active TMR for the same period. People were followed-up to 10 weeks and healing rate (HR), healing time (HT), rate of granulation tissue on wound bed (% GT), reduction of the area of the lesion (∆AL) and a score (0-3) evaluating erythema, oedema, pain and tenderness, respectively, were measured. Adverse events (AE) were registered and monitored throughout the study. RESULTS No differences were observed in HR, HT and ∆AL between the two groups during follow-up, while % GT and the scores for erythema, oedema and pain at 10 weeks showed significant (p<0.05) improvements in group B compared with group A and versus baseline. When restricted to non-ischaemic patients (ABPI>0.8), ∆AL was significantly (p<0.05) more pronounced in group B than in group A. No difference in AE occurrence was observed between the two groups. CONCLUSION Our study, despite not being able to demonstrate the effectiveness of TMR on healing rate at 10 weeks, with 4 weeks of active treatment in neuro-ischaemic DFUs, shows positive effects on clinical aspects of the DFU and is associated with a significant increase of GT in the wound bed. DECLARATION OF INTEREST The study has been fully sponsored by Thereson S.p.A., manufacturer of TMR devices.
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7.
Acute Metabolic Changes Associated With Analgesic Drugs: An MR Spectroscopy Study.
Hansen, TM, Olesen, AE, Simonsen, CW, Fischer, IW, Lelic, D, Drewes, AM, Frøkjaer, JB
Journal of neuroimaging : official journal of the American Society of Neuroimaging. 2016;(5):545-51
Abstract
BACKGROUND AND PURPOSE Magnetic resonance spectroscopy (MRS) is used to measure brain metabolites. Limited data exist on the analgesic-induced spectroscopy response. This was an explorative study with the aims to investigate the central effects of two analgesic drugs, an opioid and a selective serotonin and norepinephrine reuptake inhibitor, and to explore the association between metabolite changes and the analgesic effect and side effects. METHODS Single voxel proton spectroscopy measurements were performed in the anterior cingulate cortex, insula and prefrontal cortex in 20 healthy subjects before and after treatment for 5 days with oxycodone (eight doses of 10 mg extended release), venlafaxine (eight doses of 37.5 mg extended release) or placebo in a randomized double-blind fashion. The metabolites of glutamate, N-acetylaspartate, and myo-inositol were analyzed in ratios to creatine. RESULTS Including all areas, the glutamate/creatine ratio was decreased (P < .05) with 8.4% ± 0.3% after oxycodone treatment (P = .02) and 6.6% ± 0.4% after venlafaxine treatment (P = .07) as compared to placebo. No statistical significant differences in treatment effects across the areas were found (P = .6). No treatment effect was seen for N-acetylaspartate/creatine or myo-inositol/creatine ratios (all P > .05). No associations between treatment induced glutamate/creatine changes and the analgesic effect and side effects were demonstrated (all P > .05). CONCLUSIONS MRS can be used to detect brain metabolites following acute analgesic treatments and glutamate is central in these mechanisms. Consequently, MRS might be a valuable tool to objectively evaluate analgesic effects and a potential biomarker to predict treatment outcomes and more research is needed.
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8.
Urinary (1)H-NMR-based metabolic profiling of children with NAFLD undergoing VSL#3 treatment.
Miccheli, A, Capuani, G, Marini, F, Tomassini, A, Praticò, G, Ceccarelli, S, Gnani, D, Baviera, G, Alisi, A, Putignani, L, et al
International journal of obesity (2005). 2015;(7):1118-25
Abstract
BACKGROUND Nowadays, non-alcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases in children. Our recent clinical trial demonstrated that dietary and VSL#3-based interventions may improve fatty liver by ultrasound and body mass index (BMI) after 4 months. OBJECTIVES As in this short-term trial, as in others, it is impracticable to monitor response to therapy or treatment by liver biopsy, we aimed to identify a panel of potential non-invasive metabolic biomarkers by a urinary metabolic profiling. METHODS Urine samples from a group of 31 pediatric NAFLD patients, enrolled in a VSL#3 clinical trial, were analyzed by high-resolution proton nuclear magnetic resonance spectroscopy in combination with analysis of variance-Simultaneous Component Analysis model and multivariate data analyses. Urinary metabolic profiles were interpreted in terms of clinical patient feature, treatment and chronology pattern correlations. RESULTS VSL#3 treatment induced changes in NAFLD urinary metabolic phenotype mainly at level of host amino-acid metabolism (that is, valine, tyrosine, 3-amino-isobutyrate or β-aminoisobutyric acid (BAIBA)), nucleic acid degradation (pseudouridine), creatinine metabolism (methylguanidine) and secondarily at the level of gut microbial amino-acid metabolism (that is, 2-hydroxyisobutyrate from valine degradation). Furthermore, some of these metabolites correlated with clinical primary and secondary trial end points after VSL#3 treatment: tyrosine and the organic acid U4 positively with alanine aminotransferase (R=0.399, P=0.026) and BMI (R=0.36, P=0.045); BAIBA and tyrosine negatively with active glucagon-like-peptide 1 (R=-0.51, P=0.003; R=-0.41, P=0.021, respectively). CONCLUSIONS VSL#3 treatment-dependent urinary metabotypes of NAFLD children may be considered as non-invasive effective biomarkers to evaluate the response to treatment.
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9.
Untargeted 1H-NMR metabolomics in CSF: toward a diagnostic biomarker for motor neuron disease.
Blasco, H, Nadal-Desbarats, L, Pradat, PF, Gordon, PH, Antar, C, Veyrat-Durebex, C, Moreau, C, Devos, D, Mavel, S, Emond, P, et al
Neurology. 2014;(13):1167-74
Abstract
OBJECTIVES To develop a CSF metabolomics signature for motor neuron disease (MND) using (1)H-NMR spectroscopy and to evaluate the predictive value of the profile in a separate cohort. METHODS We collected CSF from patients with MND and controls and analyzed the samples using (1)H-NMR spectroscopy. We divided the total patient sample in a 4:1 ratio into a training cohort and a test cohort. First, a metabolomics signature was created by statistical modeling in the training cohort, and then the analyses tested the predictive value of the signature in the test cohort. We conducted 10 independent trials for each step. Finally, we identified the compounds that contributed most consistently to the metabolome profile. RESULTS Analysis of CSF from 95 patients and 86 controls identified a diagnostic profile for MND (R(2)X > 22%, R(2)Y > 93%, Q(2) > 66%). The best model selected the correct diagnosis with mean probability of 99.31% in the training cohort. The profile discriminated between diagnostic groups with 78.9% sensitivity and 76.5% specificity in the test cohort. Metabolites linked to pathophysiologic pathways in MND (i.e., threonine, histidine, and molecules related to the metabolism of branched amino acids) were among the discriminant compounds. CONCLUSION CSF metabolomics using (1)H-NMR spectroscopy can detect a reproducible metabolic signature for MND with reasonable performance. To our knowledge, this is the first metabolomics study that shows that a validation in separate cohorts is feasible. These data should be considered in future biomarker studies. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that CSF metabolomics accurately distinguishes MNDs from other neurologic diseases.
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10.
Effect of contrast agent on the results of in vivo ¹H MRS of breast tumors - is it clinically significant?
Baltzer, PA, Gussew, A, Dietzel, M, Rzanny, R, Gajda, M, Camara, O, Reichenbach, JR, Kaiser, WA
NMR in biomedicine. 2012;(1):67-74
Abstract
Choline (Cho) signal identification and quantification in (1)H MRS are used in breast cancer diagnosis. However, an influence of the gadolinium-based contrast agent on the Cho amplitude has been reported experimentally. This study aims to identify the impact of gadolinium-based contrast agents on Cho detection and quantification in postcontrast breast MRS. Consecutive patients were recruited prospectively and randomly allocated to two groups. Group A received a neutral (gadolinium diethylenetriaminepentaacetic acid bis-methylamide) and group B an ionic (gadolinium diethylenetriaminepentaacetic acid) contrast agent, each at a dosage of 0.1 mmol/kg. First, the presence of Cho was identified visually. Then, the normalized Cho intensity in malignant lesions was quantified. Multivariate analysis was applied to identify independent influencing factors on Cho. Sixty-three lesions were investigated [A, n = 34; B, n = 29; 43 malignant (one bilaterally malignant), 20 benign]. Cho was identified visually in 14 of 20 malignant tumors in group A and 12 of 22 malignant tumors in group B (p = 0.477). Normalized Cho differed significantly (p = 0.001) between groups A (mean, 26.8 ± 6.0 AU) and B (mean, 18.2 ± 12.5 AU). No linewidth differences were identified (p > 0.05). Multivariate analysis revealed only group membership (A versus B) as an independent predictor of Cho (p = 0.017). The results suggest stronger negative effects of an ionic relative to a neutral gadolinium-based contrast agent on breast tumor MRS in vivo. These results should be considered when conducting and comparing quantitative Cho measurements in the breast.