Evidence map›Paper›PMID 34410445›Full record

ReviewCellular and molecular life sciences : CMLS2021

Metabolomics and health: from nutritional crops and plant-based pharmaceuticals to profiling of human biofluids.

Andrey S Marchev, Liliya V Vasileva, Kristiana M Amirova, Martina S Savova, Zhivka P Balcheva-Sivenova, Milen I Georgiev

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A comprehensive review ofBiochemistry and biophysics reports · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. RPLC- and HILIC-based non-targeted metabolomics workflow for blood microsamples.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. The potential ofFuture science OA · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Review
  19. Review
  20. 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

6 authors.

Andrey S Marchev *Department Plant Cell Biotechnology, Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
Liliya V Vasileva *Department Plant Cell Biotechnology, Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
Kristiana M AmirovaDepartment Plant Cell Biotechnology, Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
Martina S SavovaDepartment Plant Cell Biotechnology, Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
Zhivka P Balcheva-SivenovaDepartment Plant Cell Biotechnology, Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
Milen I GeorgievDepartment Plant Cell Biotechnology, Center of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria. milengeorgiev@gbg.bg.ORCID http://orcid.org/0000-0001-5248-6135

Funding

H2020 Spreading Excellence and Widening Participation PlantaSYST-739582
6 · The paper itself

Abstract

During the past decade metabolomics has emerged as one of the fastest developing branches of "-omics" technologies. Metabolomics involves documentation, identification, and quantification of metabolites through modern analytical platforms in various biological systems. Advanced analytical tools, such as gas chromatography-mass spectrometry (GC/MS), liquid chromatography-mass spectroscopy (LC/MS), and non-destructive nuclear magnetic resonance (NMR) spectroscopy, have facilitated metabolite profiling of complex biological matrices. Metabolomics, along with transcriptomics, has an influential role in discovering connections between genetic regulation, metabolite phenotyping and biomarkers identification. Comprehensive metabolite profiling allows integration of the summarized data towards manipulation of biosynthetic pathways, determination of nutritional quality markers, improvement in crop yield, selection of desired metabolites/genes, and their heritability in modern breeding. Along with that, metabolomics is invaluable in predicting the biological activity of medicinal plants, assisting the bioactivity-guided fractionation process and bioactive leads discovery, as well as serving as a tool for quality control and authentication of commercial plant-derived natural products. Metabolomic analysis of human biofluids is implemented in clinical practice to discriminate between physiological and pathological state in humans, to aid early disease biomarker discovery and predict individual response to drug therapy. Thus, metabolomics could be utilized to preserve human health by improving the nutritional quality of crops and accelerating plant-derived bioactive leads discovery through disease diagnostics, or through increasing the therapeutic efficacy of drugs via more personalized approach. Here, we attempt to explore the potential value of metabolite profiling comprising the above-mentioned applications of metabolomics in crop improvement, medicinal plants utilization, and, in the prognosis, diagnosis and management of complex diseases.

Indexed as

AnimalsBiological ProductsBiomarkersCrops, AgriculturalHumansMetabolomeMetabolomicsPharmaceutical PreparationsBiological ProductsBiomarkersPharmaceutical PreparationsBiofluidsBiomarkersCropsMedicinal plantsMetabolomics

Identifiers

PMID34410445
PMCPMC8558153

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.