Evidence map›Paper›PMID 38081916›Full record

ArticleScientific reports2023

Development of an iron overload HepG2 cell model using ferrous ammonium citrate.

Usama Abbasi, Srinivas Abbina, Arshdeep Gill, Jayachandran N Kizhakkedathu

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Cuproptosis in iron overload hepatocytes.Cell death & disease · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Hydrogen Sulfide (HAntioxidants (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. 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

4 authors.

Usama Abbasi *Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.
Srinivas Abbina *Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.
Arshdeep GillDepartment of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.
Jayachandran N KizhakkedathuDepartment of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada. jay@pathology.ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-based iron overload models provide tremendous utility for the investigations into the pathogenesis of different diseases as well as assessing efficacy of various therapeutic strategies. In the literature, establishing such models vary widely with regards to cell lines, iron source, iron treatment conditions and duration. Due to this diversity, researchers reported significant differences in the measured outcomes, either in cellular function or response to a stimulus. Herein, we report the process required to establish an iron overload HepG2 cell model to achieve a consistent and reproducible results such that the literature can strive towards a consensus. Iron loading in cells was achieved with 50 μM of iron every 24 h for 2 days, followed by an additional 24 h of maintenance in fresh media. We demonstrated that iron overloaded cells had significantly increased ROS generation, labile and total iron whilst having various cellular functions resemble cells without iron overload. The present report addresses key pitfalls with regards to the lack of consensus currently present in the literature.

Indexed as

Iron OverloadCitratesFerrous CompoundsHep G2 CellsHumansIronReactive Oxygen Speciesammoniacal ferrous citrateCitratesFerrous CompoundsIronReactive Oxygen Species

Identifiers

PMID38081916
PMCPMC10713717

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.