ReviewMetabolites2023
Simultaneous Quantitation and Discovery (SQUAD) Analysis: Combining the Best of Targeted and Untargeted Mass Spectrometry-Based Metabolomics.
Review in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Progesterone induces steroidome and lipidome remodeling in a BRCA-resembling mouse model of high-grade serous ovarian cancer.Translational oncology · 2026Article
- From Agri-Food Byproducts to High-Value Bioactive Compounds: A Critical Review Linking Green Recovery and Chemical Profiling to Circular Valorization.Molecules (Basel, Switzerland) · 2026Review
- Targeted Livestock Metabolomics: A Review of Liquid chromatography-Mass Spectrometry-Based Approaches.Journal of agricultural and food chemistry · 2026Review
- Emerging Quantitative Targeted Metabolomics Approaches for Future Inborn Errors of Metabolism Screening.Diagnostics (Basel, Switzerland) · 2026Review
- Decoding cancer across scales with metabolomics.Nature reviews. Cancer · 2026Review
- Metabolomics using anion-exchange chromatography mass spectrometry for the analysis of cells, tissues and biofluids.Nature protocols · 2026Review
- Urea cycle modulation by combined SGLT2 inhibitors and metformin.BMC medicine · 2026Article
- Stachyose supplementation attenuates ischemic stroke injury via gut-brain axis mediated adenine metabolism and neuroactive ligand-receptor signaling.Current research in food science · 2026Article
- DietaryFrontiers in veterinary science · 2026Article
- Contribution of proteomics and metabolomics data to understanding of health benefits of tea.Chinese herbal medicines · 2026Review
- Microbial Omics.Progress in molecular and subcellular biology · 2026Review
- Review
- The role of metabolomics in stroke: biomarkers of diagnosis and therapy.Metabolic brain disease · 2025Review
- Integrating Advanced Metabolomics and Machine Learning for Anti-Doping in Human Athletes.Metabolites · 2025Review
- Integrating the lactulose-mannitol test for intestinal permeability with untargeted metabolomics for drug monitoring through dual liquid chromatography-mass spectrometry.Analytical and bioanalytical chemistry · 2025Article
- Categorizing Concentration Confidence: A Framework for Reporting Concentration Measures from Mass Spectrometry-Based Assays.Environmental health perspectives · 2025Article
- Beyond Targeted Newborn Screening: A Nontargeted Metabolomics Workflow to Investigate Birthweight-Metabolome Correlations.Analytical chemistry · 2025Article
- Review
- LC-QTOF-MSComputational and structural biotechnology journal · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Untargeted and targeted approaches are the traditional metabolomics workflows acquired for a wider understanding of the metabolome under focus. Both approaches have their strengths and weaknesses. The untargeted, for example, is maximizing the detection and accurate identification of thousands of metabolites, while the targeted is maximizing the linear dynamic range and quantification sensitivity. These workflows, however, are acquired separately, so researchers compromise either a low-accuracy overview of total molecular changes (i.e., untargeted analysis) or a detailed yet blinkered snapshot of a selected group of metabolites (i.e., targeted analysis) by selecting one of the workflows over the other. In this review, we present a novel single injection simultaneous quantitation and discovery (SQUAD) metabolomics that combines targeted and untargeted workflows. It is used to identify and accurately quantify a targeted set of metabolites. It also allows data retro-mining to look for global metabolic changes that were not part of the original focus. This offers a way to strike the balance between targeted and untargeted approaches in one single experiment and address the two approaches' limitations. This simultaneous acquisition of hypothesis-led and discovery-led datasets allows scientists to gain more knowledge about biological systems in a single experiment.
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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.