Evidence map›Paper›PMID 36720172›Full record

ArticleAnalytical chemistry2023

Optimization of Diffusion-Ordered NMR Spectroscopy Experiments for High-Throughput Automation in Human Metabolic Phenotyping.

Nikita Harvey, Panteleimon G Takis, John C Lindon, Jia V Li, Beatriz Jiménez

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Nikita HarveySection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, Burlington Danes Building, Hammersmith Hospital Campus, London W12 0NN, U.K.ORCID 0000-0002-2533-6980
Panteleimon G TakisSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, Burlington Danes Building, Hammersmith Hospital Campus, London W12 0NN, U.K.ORCID 0000-0002-7224-0412
John C LindonSection of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, Burlington Danes Building, Hammersmith Hospital Campus, London W12 0NN, U.K.ORCID 0000-0002-0916-6360
Jia V LiSection of Nutrition, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, Commonwealth Building, Hammersmith Hospital Campus, London W12 0NN, U.K.ORCID 0000-0002-5763-6670
Beatriz JiménezSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, Burlington Danes Building, Hammersmith Hospital Campus, London W12 0NN, U.K.ORCID 0000-0003-4593-6075
Hammersmith Hospital · GB

Funding

Medical Research Council MR/P002536/1
6 · The paper itself

Abstract

The diffusion-ordered nuclear magnetic resonance spectroscopy (DOSY) experiment allows the calculation of diffusion coefficient values of metabolites in complex mixtures. However, this experiment has not yet been broadly used for metabolic profiling due to lack of a standardized protocol. Here we propose a pipeline for the DOSY experimental setup and data processing in metabolic phenotyping studies. Due to the complexity of biological samples, three experiments (a standard DOSY, a relaxation-edited DOSY, and a diffusion-edited DOSY) have been optimized to provide DOSY metabolic profiles with peak-picked diffusion coefficients for over 90% of signals visible in the one-dimensional

Indexed as

Magnetic Resonance SpectroscopyDiffusionHumans

Identifiers

PMID36720172
PMCPMC9933041
OpenAlexW4318694621

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.