Magnetic resonance spectroscopy of serum and acute-phase proteins revisited: a multiparametric statistical analysis of metabolite variations in inflammatory, infectious and miscellaneous diseases

Torri, Gilbert M; Torri, J.; Gulian, Jean-Marc; Vion‐Dury, Jean; Viout, Patrick; Cozzone, Patrick J.

doi:10.1016/s0009-8981(98)00166-1

Cited by 21 publications

(19 citation statements)

References 18 publications

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“…It has been reported that indicators of an inflammatory response in serum NMR are represented by increased intensity for the signals of CH 2 -COOR of lipids and for the N-acetyl resonance of glycoproteins (44). We show here that the metabolomic fingerprint in serum of patients with mCRC is characterized by a higher intensity of these resonances; the effect is larger for patients with short OS after starting third-line treatment with cetuximab and irinotecan.…”

Section: à2supporting

confidence: 46%

Metabolomic NMR Fingerprinting to Identify and Predict Survival of Patients with Metastatic Colorectal Cancer

et al. 2012

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Earlier detection of patients with metastatic colorectal cancer (mCRC) might improve their treatment and survival outcomes. In this study, we used proton nuclear magnetic resonance ( 1 H-NMR) to profile the serum metabolome in patients with mCRC and determine whether a disease signature may exist that is strong enough to predict overall survival (OS). In 153 patients with mCRC and 139 healthy subjects from three Danish hospitals, we profiled two independent sets of serum samples in a prospective phase II study. In the training set, 1 H-NMR metabolomic profiling could discriminate patients with mCRC from healthy subjects with a cross-validated accuracy of 100%. In the validation set, 96.7% of subjects were correctly classified. Patients from the training set with maximally divergent OS were chosen to construct an OS predictor. After validation, patients predicted to have short OS had significantly reduced survival (HR, 3.4; 95% confidence interval, 2.06-5.50; P ¼ 1.33 Â 10 À6 ).A number of metabolites concurred with the 1

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Section: à2supporting

confidence: 46%

Metabolomic NMR Fingerprinting to Identify and Predict Survival of Patients with Metastatic Colorectal Cancer

et al. 2012

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“…chondroitin sulphate), the ratio of sialic-originated N-acetyl groups and GAGs-originated ones in our cyst samples would be about 2.2 ( Table 2). When we compare this ratio to that which can be calculated from data reported in [39] for plasma of patients with cancer, about 0.28, we find reasons to reinforce our belief that, for this NAC resonance, cyst fluid composition does not follow, like in the case of lactate, typical plasma values, but points to a relevant tumour derived contribution in the recorded cyst spectral pattern.…”

supporting

confidence: 74%

“…. ) detectable by 1 H NMR at an echo time of 136 ms [38,39]. From this, it would be reasonable to expect some contribution from such high molecular weight substances to the cyst NMR spectral pattern.…”

mentioning

confidence: 94%

Assignment of the 2.03 ppm resonance in in vivo 1H MRS of human brain tumour cystic fluid: contribution of macromolecules

Candiota

Majós

Bassols³

et al. 2004

MAGMA

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MRI and MRS are established techniques for the evaluation of intracranial mass lesions and cysts. The 2.03 ppm signal recorded in their (1)H-MRS spectra is often assigned to NAA from outer volume contamination, although it has also been detected in non-infiltrating tumours and large cysts. We have investigated the molecular origin of this resonance in ten samples of cystic fluids from human brain tumours. The NMR detected content of the 2.03 ppm resonance in 136 ms echo time spectra, assuming an N- CH(3) origin, was 3.19 +/- 1.01 mM. Only one third (34 +/- 12%) of the N-acetyl containing compound (NAC) signal could be extracted by perchloric acid (PCA) indicating that most of it originated in a macromolecular PCA-insoluble component. Chemical analysis of the cyst fluids showed that sialic acid bound to macromolecules would account for 64.3% and hexuronic containing compounds for 29.2% of the NMR-detectable ex vivo signal, 93.4% of the signal at TE 136 ms. Lactate content measured by NMR (6.4 +/- 4.4 mM) and the predominance of NAC originating in sialic acid point to a major origin from tumour rather than from plasma for this 2.03 ppm resonance.

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“…However, it should be emphasized that although the NAC1 signal was a common feature distinguishing all NSCLC patients from COPD patients, the NAC2 signal was specific for A-NSCLC patient serum. Elevated NAC signal intensity was reported for various cancer and non-cancer diseases [59][60][61][62]. Our recently published work suggests that NAC is one of the components that can distinguish active inflammatory bowel diseases from those in remission [63].…”

Section: Metabolic Patterns Of Lung Cancer Progressionmentioning

confidence: 89%

Metabolomics provide new insights on lung cancer staging and discrimination from chronic obstructive pulmonary disease

Deja

Porębska

Kowal

et al. 2014

Journal of Pharmaceutical and Biomedical Analysis

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Magnetic resonance spectroscopy of serum and acute-phase proteins revisited: a multiparametric statistical analysis of metabolite variations in inflammatory, infectious and miscellaneous diseases

Cited by 21 publications

References 18 publications

Metabolomic NMR Fingerprinting to Identify and Predict Survival of Patients with Metastatic Colorectal Cancer

Metabolomic NMR Fingerprinting to Identify and Predict Survival of Patients with Metastatic Colorectal Cancer

Assignment of the 2.03 ppm resonance in in vivo 1H MRS of human brain tumour cystic fluid: contribution of macromolecules

Metabolomics provide new insights on lung cancer staging and discrimination from chronic obstructive pulmonary disease

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