ReviewMetabolites2018
Nanoparticle-Assisted Metabolomics.
Review in Metabolites, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Metabolic signatures of the integrated profile of cardiovascular autonomic modulation and cardiorespiratory fitness in apparently healthy individuals.Physiological reports · 2026Article
- Nanoparticle-assisted strategies in mass spectrometry-based metabolite analysis: recent advances across analytical workflow.Mikrochimica acta · 2025Review
- Automated Diagnosis and Phenotyping of Tuberculosis Using Serum Metabolic Fingerprints.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Advances in experimental and computational methodologies for the study of microbial-surface interactions at different omics levels.Frontiers in microbiology · 2022Review
- Differentiation of meat species of raw and processed meat based on polar metabolites usingFrontiers in nutrition · 2022Article
- Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications.Molecules (Basel, Switzerland) · 2020Review
- Fe Nanoparticles Enhanced Surfactin Production inACS omega · 2020Article
- Cancer metabolomic markers in urine: evidence, techniques and recommendations.Nature reviews. Urology · 2019Review
- Nanopsychiatry: Is it a big thing in small size?Industrial psychiatry journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Understanding and harnessing the interactions between nanoparticles and biological molecules is at the forefront of applications of nanotechnology to modern biology. Metabolomics has emerged as a prominent player in systems biology as a complement to genomics, transcriptomics and proteomics. Its focus is the systematic study of metabolite identities and concentration changes in living systems. Despite significant progress over the recent past, important challenges in metabolomics remain, such as the deconvolution of the spectra of complex mixtures with strong overlaps, the sensitive detection of metabolites at low abundance, unambiguous identification of known metabolites, structure determination of unknown metabolites and standardized sample preparation for quantitative comparisons. Recent research has demonstrated that some of these challenges can be substantially alleviated with the help of nanoscience. Nanoparticles in particular have found applications in various areas of bioanalytical chemistry and metabolomics. Their chemical surface properties and increased surface-to-volume ratio endows them with a broad range of binding affinities to biomacromolecules and metabolites. The specific interactions of nanoparticles with metabolites or biomacromolecules help, for example, simplify metabolomics spectra, improve the ionization efficiency for mass spectrometry or reveal relationships between spectral signals that belong to the same molecule. Lessons learned from nanoparticle-assisted metabolomics may also benefit other emerging areas, such as nanotoxicity and nanopharmaceutics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.