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Nmr suite professional

Manufactured by Chenomx
Sourced in Canada

The Chenomx NMR Suite Professional is a software package designed for the analysis of nuclear magnetic resonance (NMR) spectroscopy data. It provides tools for the identification and quantification of metabolites in complex biological samples.

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17 protocols using nmr suite professional

1

Coenzyme Identification and Quantification

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Initial peak assignments relied on database
searches,28 (link)−30 (link) including the human metabolome database (HMDB)28 (link) and the biological magnetic resonance data bank
(BMRB).29 (link) However, unambiguous identification
of the coenzymes
necessitated the development of a new chemical shift database consisting
of the coenzymes and other compounds in solutions at concentrations
similar to their levels in tissue (Table 1). Spectral peaks for all the coenzymes were
identified using this database along with peak multiplicity, J coupling measurements, and the comprehensive analyses
of 2D DQF-COSY and TOCSY spectra. The coenzymes thus identified were
further confirmed by spiking experiments using authentic compounds.
Chenomx NMR Suite Professional (version 5.1; Chenomx Inc., Edmonton,
Alberta, Canada) was used to quantify the coenzyme peaks. Chenomx
allows fitting spectral lines using the standard metabolite library
for 800 MHz 1H NMR spectra, and in particular, the determination
of concentrations. Since the proximity of chemical shift values for
signals from multiple compounds resulted in the software providing
multiple library hits for the same peak, the correct identification
of coenzymes’ peaks relied on the newly established peak assignments.
Peak fitting with reference to the internal TSP signal enabled the
determination of absolute concentrations of the coenzymes.
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2

Quantitative Metabolite Profiling by NMR

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Proton NMR spectra were processed using Chenomx NMR Suite Professional 7.7 software (Chenomx Inc., Edmonton, Canada): phasing and baseline correction were performed, and the pH was calibrated using the resonances from imidazole. The spectra were referenced to the DSS methyl peak at 0.00 ppm. The same peak was also used as a chemical shape indicator, that is as an internal standard for quantitation.
Metabolites were quantified in the 1D 1H-NMR spectra of breast extracts using the Profiler module of Chenomx NMR Suite Professional software with an inbuilt 1D spectral library. Quantitation was based on comparing the area of selected metabolite peaks with the area under the DSS methyl peak, which corresponded to a known concentration of 0.5 mmol/L in all samples. The resulting metabolite concentration table (56 metabolites × 15 samples) was exported to Excel where sample identifiers were added.
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3

Quantification of Metabolites via NMR Spectroscopy

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The resulting 1H NMR spectra were processed and analyzed using the Chenomx NMR Suite Professional software package version 6.0 (Chenomx Inc., Edmonton, AB, Canada). The identified metabolites were also defined based on public databases, e.g., the Bovine Metabolome Database (BMDB, http://www.cowmetdb.ca), Human Metabolome Database (HMDB, http://www.hmdb.ca) and the Biological Magnetic Resonance Data Bank (BMRB, www.bmrb.wisc.edu). For quantification, individual metabolite peaks were integrated and quantified relative to the “Electronic REference To access in vivo Concentrations 2” (ERETIC2) signal experiment, performed using a 2 mM Sucrose standard, while the fixed receiver gain (RG) was used for the samples.
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4

Metabolite Identification in Serum NMR

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1H NMR spectra were aligned using icoshift 1.2 and manual integration of peaks was performed to a linear baseline on all spectra in parallel using an in‐house developed Matlab routine as was applied before (Dudka et al., 2020; Virel et al., 2019). The integrated data from serum were normalized to the total sum of the spectrum to give the same total integration value for each spectrum. Identification of the metabolites was achieved by assigning their specific resonances according to the chemical shift values and multiplicities using the Chenomx NMR suite professional (version 7.72, Chenomx, Inc.) and the Human Metabolome Database (Wishart et al., 2018).
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5

NMR Profiling of Urine Metabolites

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All proton NMR (1H-NMR) spectra were obtained on a 500 MHz Inova spectrometer (Varian Inc., Palo Alto, CA) equipped with a 5 mm hydrogen, carbon, and nitrogen (HCN) Z-gradient pulsed-field gradient (PFG) Varian cold-probe (14 (link)). Chenomx NMR Suite Professional software package (version 7.6, Chenomx Inc., Edmonton, AB, Canada) was applied to profile raw 1H-NMR spectra as previously described (15 (link)). Details on the NMR urine sample preparation, NMR spectra acquisition, and raw NMR data profiling have been previously reported (16 (link)).
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6

NMR-based Metabolite Identification Protocol

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Metabolites identification was done based on comparison with reference compounds library (in Chenomx NMR Suite Professional (Chenomx Inc., Edmonton, Canada)), multiplicity and scalar couplings information extracted from 2D JRES spectra as well as information from Human Metabolome Database (http://www.hmdb.ca/) and available literature21 (link).
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7

Metabolite Identification via NMR Library

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Metabolites were identified by comparing them to a library of reference compounds (in Chenomx NMR Suite Professional) (Chenomx Inc., Edmonton, Canada).
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8

Identification and Quantification of Metabolites

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The identification of the metabolites was carried out based on the comparisons with the reference compounds library (in Chenomx NMR Suite Professional (Chenomx Inc., Edmonton, AB, Canada)), as well as on the multiplicity and scalar couplings information extracted from the 2D JRES spectra, and using the information from Human Metabolome Database (http://www.hmdb.ca/ accessed on 18 October 2023) and the available literature.
The low-molecular-weight metabolites were quantified based on the 1D positive projections of the JRES spectra. The diffusion-edited spectra were used for quantification of the lipid signals. The integrals were measured in the spectral regions defined individually for each metabolite using the “sum all points in region” method in AMIX (Bruker Biospin) software.
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9

Quantifying Short-Chain Fatty Acids via NMR

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Analytical standards for SCFAs of interest were obtained in Organic Acid Kit (Sigma-Aldrich, #47264). Faecal and serum samples for 1H NMR were prepared by adding 350 mL deuterium oxide (D2O) to 250 µL of serum or 50 mg of fresh faeces. Samples were centrifuged at 14,000×g, for 5 min at 4 °C. 250 mL of supernatant was passed through Amicon Ultra-0.5 Centrifugal Filter Units (3 kDa, 0.5 mL) (Merck, #UFC500396) and centrifuged at 14,000×g, for 20 min at 40 °C. The filtrate was incubated with deuterium chloroform and deuterium methanol on ice for 10 min, then centrifuged for 10 min at 14,000×g. The polar phase was added to 60 mL of 200 mM trisodium phosphate/D2O and 18 mL of 5 mM 4,4-dimethyl-4-silapentane-1-sulfonic acid (DSS)/D2O to a final volume of 180 mL. 1H NMR spectra were acquired at 298 K using the Bruker lc1pncwps pulse sequence (total of 96 scans), with irradiation of water resonance applied during pre-saturation delay and mixing time. 13C continuous wave decoupling was applied during acquisition. Data were processed and analysed using the Chenomx® NMR Suite Professional (Chenomx Inc., Edmonton, AB, Canada). All samples were referenced to a 0.5 mM DSS and the Human Metabolome Database (www.hmdb.ca).
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10

Metabolite Identification via NMR Spectroscopy

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Metabolite identification was performed by a comparison of the CPMG spectra with the reference compounds library (in Chenomx NMR Suite Professional, Chenomx Inc., Edmonton, AB, Canada), as well as by using multiplicity and scalar coupling information extracted from the 2D JRES spectra, information from the Human Metabolome Database (http://www.hmdb.ca/, accessed on 19 November 2023) and the available literature.
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