Comprehensive 1H NMR metabolic profiling of body fluids for differentiation of meningitis in adults

Chatterji, Tanushri; Singh, Suruchi; Sen, Manodeep; Singh, Ajai; Maurya, Pradeep Kumar; Husain, Nuzhat; Srivastava, V. M. L.; Mandal, Santanu; Roy, Raja

doi:10.1007/s11306-016-1073-y

Cited by 8 publications

(11 citation statements)

References 45 publications

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“…In the reviewed literature, we did not find general agreement about protocol (experimental conditions), or optimal pH values for NMR-based metabolomics studies of CSF. Some studies did not report or adjust sample pH [8,23,24,26,32,35], while others manually adjusted it by adding acid/base [4,7,19,28,29,35,37] or employed a phosphate buffer with varying buffer capacity [5,6,13,18,20,21,25,27,31,33,34,38,39]. Table 1.…”

Section: Resultsmentioning

confidence: 99%

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Pursuing Experimental Reproducibility: An Efficient Protocol for the Preparation of Cerebrospinal Fluid Samples for NMR-Based Metabolomics and Analysis of Sample Degradation

et al. 2020

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NMR-based metabolomics investigations of human biofluids offer great potential to uncover new biomarkers. In contrast to protocols for sample collection and biobanking, procedures for sample preparation prior to NMR measurements are still heterogeneous, thus compromising the comparability of the resulting data. Herein, we present results of an investigation of the handling of cerebrospinal fluid (CSF) samples for NMR metabolomics research. Origins of commonly observed problems when conducting NMR experiments on this type of sample are addressed, and suitable experimental conditions in terms of sample preparation and pH control are discussed. Sample stability was assessed by monitoring the degradation of CSF samples by NMR, hereby identifying metabolite candidates, which are potentially affected by sample storage. A protocol was devised yielding consistent spectroscopic data as well as achieving overall sample stability for robust analysis. We present easy to adopt standard operating procedures with the aim to establish a shared sample handling strategy that facilitates and promotes inter-laboratory comparison, and the analysis of sample degradation provides new insights into sample stability.

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Section: Resultsmentioning

confidence: 99%

“…Either adjusted with buffer solution [5,6,13,18,20,21,25,27,31,33,34,38,39], by adding HCl/NaOH solution [4,7,19,28,29,35,37], or ignored [8,23,24,26,32,36].…”

Section: Sample Phmentioning

confidence: 99%

Pursuing Experimental Reproducibility: An Efficient Protocol for the Preparation of Cerebrospinal Fluid Samples for NMR-Based Metabolomics and Analysis of Sample Degradation

et al. 2020

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“…Using the online search criteria of "tuberculous meningitis" and "metabolomics" in PubMed, up to the end of 2020, yielded 14 hits; of these, 11 studies [19][20][21][22][23][24][25][26][27][28][29] contained metabolic information on TBM in CSF from humans, and are discussed in this review. Further examination of these 11 studies yielded three more CSF metabolomics studies on TBM [30][31][32]. A further online search in PubMed, using the search criteria "tuberculous meningitis" and "metabolism" in the title and/or abstract, from 1990 to 2020, yielded 18 hits.…”

Section: Literature Search Parametersmentioning

confidence: 99%

“…The following year (2016), another untargeted NMR-based metabolomics study was conducted on an adult (>18 years old) Indian cohort. Chatterji et al [31] examined the CSF, serum, and urine from TBM cases, and compared them with controls and bacterial meningitis (BM) cases. Of the 83 CSF samples analyzed, 30 represented TBM, 21 BM, and 22 controls.…”

Section: History Of Csf Metabolomics Studies Of Tbm In Human Subjectsmentioning

confidence: 99%

“…The reasoning given was that binning possibly compromised the spectral resolution of the dataset. Chatterji et al [31] used an in-house software protocol called QUANTAS (for QUANTification by Artificial Signal), whereby 26 metabolites were first identified and quantified from the NMR spectra, and then assessed via univariate statistics, discriminant function analysis and, lastly, multivariate statistics. This approach to the metabolomics data was unique, but 15 CSF metabolites were identified that characterized TBM.…”

Section: History Of Csf Metabolomics Studies Of Tbm In Human Subjectsmentioning

confidence: 99%

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CSF Metabolomics of Tuberculous Meningitis: A Review

Mason

Solomons

2021

Metabolites

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From the World Health Organization’s global TB report for 2020, it is estimated that in 2019 at least 80,000 children (a particularly vulnerable population) developed tuberculous meningitis (TBM)—an invariably fatal disease if untreated—although this is likely an underestimate. As our latest technologies have evolved—with the unprecedented development of the various “omics” disciplines—a mountain of new data on infectious diseases have been created. However, our knowledge and understanding of infectious diseases are still trying to keep pace. Metabolites offer much biological information, but the insights they permit can be difficult to derive. This review summarizes current metabolomics studies on cerebrospinal fluid (CSF) from TBM cases and collates the metabolic data reported. Collectively, CSF metabolomics studies have identified five classes of metabolites that characterize TBM: amino acids, organic acids, nucleotides, carbohydrates, and “other”. Taken holistically, the information given in this review serves to promote the mechanistic action of hypothesis generation that will drive and direct future studies on TBM.

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Evaluation of sample preparation protocols for quantitative NMR-based metabolomics

et al. 2019

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Comprehensive 1H NMR metabolic profiling of body fluids for differentiation of meningitis in adults

Cited by 8 publications

References 45 publications

Pursuing Experimental Reproducibility: An Efficient Protocol for the Preparation of Cerebrospinal Fluid Samples for NMR-Based Metabolomics and Analysis of Sample Degradation

Pursuing Experimental Reproducibility: An Efficient Protocol for the Preparation of Cerebrospinal Fluid Samples for NMR-Based Metabolomics and Analysis of Sample Degradation

CSF Metabolomics of Tuberculous Meningitis: A Review

Evaluation of sample preparation protocols for quantitative NMR-based metabolomics

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