Evidence map›Paper›PMID 30066194›Full record

ReviewAnalytical and bioanalytical chemistry2018

Creative use of analytical techniques and high-throughput technology to facilitate safety assessment of engineered nanomaterials.

Qi Liu, Xiang Wang, Tian Xia

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Qi LiuCenter of Environmental Implications of Nanotechnology (UC CEIN), University of California, Los Angeles, CA, 90095, USA.
Xiang WangCenter of Environmental Implications of Nanotechnology (UC CEIN), University of California, Los Angeles, CA, 90095, USA.
Tian XiaCenter of Environmental Implications of Nanotechnology (UC CEIN), University of California, Los Angeles, CA, 90095, USA. txia@ucla.edu.

Funding

Toxicological Profiling of Engineered Nanomaterials (ENMs) in the MPS (RES)U01ES027237 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NEL, ANDRE ELIAS, XIA, TIAN · 2016 to 2020
$2.2M
Carbon Nanotube Structure-Activity Relationships for Predictive ToxicologyR01ES022698 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HERSAM, MARK C., NEL, ANDRE ELIAS · 2014 to 2018
$2.1M
National Institute of Environmental Health Sciences U01ES027237National Science Foundation DBI-1266377NIEHS NIH HHS R01 ES022698NIEHS NIH HHS U01 ES027237
6 · The paper itself

Abstract

With the rapid development and numerous applications of engineered nanomaterials (ENMs) in science and technology, their impact on environmental health and safety should be considered carefully. This requires an effective platform to investigate the potential adverse effects and hazardous biological outcomes of numerous nanomaterials and their formulations. We consider predictive toxicology a rational approach for this effort, which utilizes mechanism-based in vitro high-throughput screening (HTS) to make predictions on ENMs' adverse outcomes in vivo. Moreover, this approach is able to link the physicochemical properties of ENMs to toxicity that allows the development of structure-activity relationships (SARs). To build this predictive platform, extensive analytical and bioanalytical techniques and tools are required. In this review, we described the predictive toxicology approach and the accompanying analytical and bioanalytical techniques. In addition, we elaborated several successful examples as a result of using the predictive approach.

Indexed as

AnimalsBiochemistryHigh-Throughput Screening AssaysHumansNanostructuresNanotechnologyToxicity TestsAnalytical technique and bioanalytical assaysEngineered nanomaterialsHigh-throughput screeningNanostructure-activity relationshipsPredictive toxicological paradigm

Identifiers

PMID30066194
PMCPMC6119091

What OpenQuestion holds

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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.