Evidence map›Paper›PMID 36684674›Full record

ArticlePeerJ2023

Low temperature upregulating HSP70 expression to mitigate the paclitaxel-induced damages in NHEK cell.

Liang Chen, Yi Xu

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Liang ChenInstitute of Biothermal Science & Technology, University of Shanghai for Science and Technology, Shanghai, China.
Yi XuInstitute of Biothermal Science & Technology, University of Shanghai for Science and Technology, Shanghai, China.
University of Shanghai for Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scalp cooling is the most approved treatment for preventing chemotherapy-induced alopecia (CIA). However, the protective mechanism of scalp cooling has rarely been reported. The goal of the present study was to study the relationship between paclitaxel concentration and temperature and the inhibitory effect of low temperature on paclitaxel-induced alopecia. The results showed that the dose of paclitaxel should not exceed 60-70 mg/mL during scalp cooling treatment, and the optimal cooling temperature under different paclitaxel concentrations was determined. Normal human epidermal keratinocytes (NHEK) cells were analyzed by global transcriptome analysis, functional annotation and pathway analysis of differentially expressed genes (DEGs) and ELISA kit to analyze the mechanism of low temperature therapy. The expression of HSPA8, HSPA1A and HSPA1B, which belongs to HSP70, was up-regulated by low temperature. These genes are important target genes of low temperature treatment, which were confirmed by ELISA. The up-regulation of PLK2 and the down-regulation of TXNIP expression are the upstream of mitochondrial dysfunction and ROS, inhibiting the accumulation of ROS and up-regulating the mitochondrial membrane potential. Our research partially elucidates the therapeutic mechanism of scalp cooling, which provides a new idea on the drug research and development in CIA.

Indexed as

AlopeciaHSP70 Heat-Shock ProteinsPaclitaxelScalpHumansKeratinocytesReactive Oxygen SpeciesTemperatureHSP70 Heat-Shock ProteinsPaclitaxelReactive Oxygen SpeciesDifferentially expressed genesHSP70Optimal cooling temperatureScalp cooling

Identifiers

PMID36684674
PMCPMC9854382
OpenAlexW4316673326

What Socratic 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 Socratic graph.