Evidence map›Paper›PMID 36075922›Full record

ReviewTranslational psychiatry2022

The emergence of psychoanalytical electrochemistry: the translation of MDD biomarker discovery to diagnosis with electrochemical sensing.

Priyanka M Nadar, Mckenna A Merrill, Katherine Austin, Stephen M Strakowski, Jeffrey M Halpern

Open access · goldAbstract readReview
In one paragraph

Review in Translational psychiatry, 2022. 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
0.7field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  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

5 authors at 2 institutions in 1 country.

Priyanka M NadarDepartment of Chemical Engineering, University of New Hampshire, Durham, NH, 03824, USA.ORCID 0000-0003-3543-3263
Mckenna A MerrillDepartment of Chemical Engineering, University of New Hampshire, Durham, NH, 03824, USA.
Katherine AustinDepartment of Chemical Engineering, University of New Hampshire, Durham, NH, 03824, USA.
Stephen M StrakowskiDepartment of Psychiatry, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
Jeffrey M HalpernDepartment of Chemical Engineering, University of New Hampshire, Durham, NH, 03824, USA. Jeffrey.Halpern@unh.edu.ORCID 0000-0003-0814-1986
University of New Hampshire · USThe University of Texas at Austin · US

Funding

TLR-TRIF mediated induction of GLI3 modulates innate inflammatory responsesP20GM113131 · NIGMS · UNIVERSITY OF NEW HAMPSHIRE · PI Sean Stoddart Coleman Edington · 2017 to 2026
$22.8M
NIGMS NIH HHS P20 GM113131
6 · The paper itself

Abstract

The disease burden and healthcare costs of psychiatric diseases along with the pursuit to understand their underlying biochemical mechanisms have led to psychiatric biomarker investigations. Current advances in evaluating candidate biomarkers for psychiatric diseases, such as major depressive disorder (MDD), focus on determining a specific biomarker signature or profile. The origins of candidate biomarkers are heterogenous, ranging from genomics, proteomics, and metabolomics, while incorporating associations with clinical characterization. Prior to clinical use, candidate biomarkers must be validated by large multi-site clinical studies, which can be used to determine the ideal MDD biomarker signature. Therefore, identifying valid biomarkers has been challenging, suggesting the need for alternative approaches. Following validation studies, new technology must be employed to transition from biomarker discovery to diagnostic biomolecular profiling. Current technologies used in discovery and validation, such as mass spectroscopy, are currently limited to clinical research due to the cost or complexity of equipment, sample preparation, or measurement analysis. Thus, other technologies such as electrochemical detection must be considered for point-of-care (POC) testing with the needed characteristics for physicians' offices. This review evaluates the advantages of using electrochemical sensing as a primary diagnostic platform due to its rapidity, accuracy, low cost, biomolecular detection diversity, multiplexed capacity, and instrument flexibility. We evaluate the capabilities of electrochemical methods in evaluating current candidate MDD biomarkers, individually and through multiplexed sensing, for promising applications in detecting MDD biosignatures in the POC setting.

Indexed as

Major Depressive DisorderBiomarkersElectrochemistryHumansMetabolomicsProteomicsBiomarkers

Identifiers

PMID36075922
PMCPMC9452859
OpenAlexW4295084001

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.