Evidence map›Paper›PMID 36430920›Full record

ArticleInternational journal of molecular sciences2022

The Crosstalk between HepG2 and HMC-III Cells: In Vitro Modulation of Gene Expression with Conditioned Media.

Prashant Koshal, Ilenia Matera, Vittorio Abruzzese, Angela Ostuni, Faustino Bisaccia

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 1 institution in 1 country.

Prashant KoshalDepartment of Sciences, University of Basilicata, 85100 Potenza, Italy.
Ilenia MateraDepartment of Sciences, University of Basilicata, 85100 Potenza, Italy.
Vittorio AbruzzeseDepartment of Sciences, University of Basilicata, 85100 Potenza, Italy.
Angela OstuniDepartment of Sciences, University of Basilicata, 85100 Potenza, Italy.ORCID 0000-0001-5970-5097
Faustino BisacciaDepartment of Sciences, University of Basilicata, 85100 Potenza, Italy.
University of Basilicata · IT

Funding

INBIOMED PROJECT ARS01_01081.
6 · The paper itself

Abstract

Epidemiological studies have postulated an inverse correlation between developing cancer and neurodegeneration. It is known that the secretome plays a vital role in cell-cell communication in health and disease; the microglia is the resident macrophage of the central nervous system which maintains neuronal integrity by adapting as the microenvironment changes. The present study aimed to identify, in a cell model, biomarkers that link neurodegenerative diseases to cancer or vice versa. Real-time PCR and western blot analysis were used to characterize the effects on gene and protein expression of human hepatoblastoma (HepG2) and human microglia (HMC-III) cells after exchanging part of their conditioned medium. Biomarkers of the endoplasmic reticulum, and mitophagy and inflammatory processes were evaluated. In both cell types, we observed the activation of cytoprotective mechanisms against any potential pro-oxidant or pro-inflammatory signals present in secretomes. In contrast, HepG2 but not HMC-III cells seem to trigger autophagic processes following treatment with conditioned medium of microglia, thus suggesting a cell-specific adaptive response.

Indexed as

Cell Physiological PhenomenaMicrogliaBiomarkersCulture Media, ConditionedGene ExpressionHumansBiomarkersCulture Media, Conditionedautophagyendoplasmic reticulum stressHepG2 cellsinflammationmicrogliamitophagy

Identifiers

PMID36430920
PMCPMC9696318
OpenAlexW4309787624

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.