Evidence map›Paper›PMID 31209583›Full record

ArticleNanoscale research letters2019

Impact of Gold Nanoparticles on Testosterone Metabolism in Human Liver Microsomes.

Kyoungju Choi, Hyun Joo

Open access · goldAbstract read
In one paragraph

Article in Nanoscale research letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
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.

Kyoungju ChoiDepartment of Anatomy & Physiology, Nanotechnology Innovation Center of Kansas State (NICKS), College of Veterinary Medicine, Kansas State University, Manhattan, KS, 66506, USA. kjchoi@ksu.edu.
Hyun JooDepartment of Anatomy & Physiology, Nanotechnology Innovation Center of Kansas State (NICKS), College of Veterinary Medicine, Kansas State University, Manhattan, KS, 66506, USA.
Kansas State University · US

Funding

Kansas State University Research Startup funds
6 · The paper itself

Abstract

Gold nanoparticle (AuNP)-protein corona complexes can alter cytochrome P450 (CYP)-mediated testosterone (TST) metabolism by altering their physicochemical properties. We investigated the impact of NP size, surface chemistry, and protein corona in TST metabolism in pooled human liver microsomes (pHLM) employing 40 and 80 nm AuNP functionalized with branched polyethylenimine (BPEI), lipoic acid (LA), and polyethylene glycol (PEG) as well as human plasma protein corona (PC). Individual variation in AuNP-mediated TST metabolism was also characterized among single donor HLM that contained different levels of CYP activities. Inhibitory effects of 40 nm AuNP and to a lesser degree of 80 nm AuNP occurred for the production of a total of five hydroxylated metabolites of TST in pHLM but PC alleviated them. Meanwhile, naked AuNP increased androstenedione production. Interindividual variation in TST metabolism occurred within single donor HLM. In most cases, 40 and 80 nm naked and PC AuNP essentially suppressed TST metabolism at non-inhibitory concentration but PC PEG-AuNP increased androstenedione. These studies contribute to a better understanding of the role of AuNP as TST disruptor by altering TST metabolism and could be utilized to screen other NP as potential endocrine disruptor.

Indexed as

Cytochrome P450Gold nanoparticlesHuman liver microsomesHuman plasma protein coronaIndividual variationTestosterone metabolism

Identifiers

PMID31209583
PMCPMC6579798
OpenAlexW2951103717

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.