Evidence map›Paper›PMID 37484533›Full record

ReviewFrontiers in molecular biosciences2023

Metabolomics: a promising tool for deciphering metabolic impairment in heavy metal toxicities.

Muhammad Sajid Hamid Akash, Azka Yaqoob, Kanwal Rehman, Muhammad Imran, Mohammed A Assiri, Fatema Al-Rashed, Fahd Al-Mulla, Rasheed Ahmad, Sardar Sindhu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Muhammad Sajid Hamid AkashDepartment of Pharmaceutical Chemistry, Government College University Faisalabad, Faisalabad, Pakistan.
Azka YaqoobDepartment of Pharmaceutical Chemistry, Government College University Faisalabad, Faisalabad, Pakistan.
Kanwal RehmanDepartment of Pharmacy, The Women University, Multan, Pakistan.
Muhammad ImranResearch Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia.
Mohammed A AssiriResearch Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia.
Fatema Al-RashedImmunology and Microbiology Department, Dasman Diabetes Institute, Dasman, Kuwait.
Fahd Al-MullaResearch Division, Dasman Diabetes Institute, Dasman, Kuwait.
Rasheed AhmadImmunology and Microbiology Department, Dasman Diabetes Institute, Dasman, Kuwait.
Sardar SindhuImmunology and Microbiology Department, Dasman Diabetes Institute, Dasman, Kuwait.
Dasman Diabetes Institute · KWGovernment College University, Faisalabad · PKKing Khalid University · SAThe Women University Multan · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metals are the metal compounds found in earth's crust and have densities higher than that of water. Common heavy metals include the lead, arsenic, mercury, cadmium, copper, manganese, chromium, nickel, and aluminum. Their environmental levels are consistently rising above the permissible limits and they are highly toxic as enter living systems via inhalation, ingestion, or inoculation. Prolonged exposures cause the disruption of metabolism, altered gene and/or protein expression, and dysregulated metabolite profiles. Metabolomics is a state of the art analytical tool widely used for pathomolecular inv22estigations, biomarkers, drug discovery and validation of biotransformation pathways in the fields of biomedicine, nutrition, agriculture, and industry. Here, we overview studies using metabolomics as a dynamic tool to decipher the mechanisms of metabolic impairment related to heavy metal toxicities caused by the environmental or experimental exposures in different living systems. These investigations highlight the key role of metabolomics in identifying perturbations in pathways of lipid and amino acid metabolism, with a critical role of oxidative stress in metabolic impairment. We present the conclusions with future perspectives on metabolomics applications in meeting emerging needs.

Indexed as

heavy metalsmetabolic impairmentmetabolomicsoxidative stresstoxicity

Identifiers

PMID37484533
PMCPMC10357477
OpenAlexW4383342653

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.