Evidence map›Paper›PMID 32194366›Full record

ArticleFrontiers in neuroscience2020

Uric Acid as a Potential Peripheral Biomarker for Disease Features in Huntington's Patients.

Jody Corey-Bloom, Ameera Haque, Sameer Aboufadel, Chase Snell, Ryan S Fischer, Steven W Granger, Douglas A Granger, Elizabeth A Thomas

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

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  13. A Glimpse of Molecular Biomarkers in Huntington's Disease.International journal of molecular sciences · 2022
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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

8 authors at 3 institutions in 1 country.

Jody Corey-BloomDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, United States.
Ameera HaqueDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, United States.
Sameer AboufadelDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, United States.
Chase SnellDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, United States.
Ryan S FischerSalimetrics, LLC, Carlsbad, CA, United States.
Steven W GrangerSalimetrics, LLC, Carlsbad, CA, United States.
Douglas A GrangerSalimetrics, LLC, Carlsbad, CA, United States.
Elizabeth A ThomasInstitute for Interdisciplinary Salivary Bioscience Research, University of California, Irvine, Irvine, CA, United States.
University of California, San Diego · USJohns Hopkins University · USScripps Research Institute · US

Funding

Exploration of salivary huntingtin for biomarker discoveryR21NS111655 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI THOMAS, ELIZABETH A · 2019 to 2020
$425k
NINDS NIH HHS R21 NS111655
6 · The paper itself

Abstract

Oxidative stress has long been implicated in the pathophysiology and progression of Huntington's disease (HD). Uric acid (UA) is a naturally occurring antioxidant that is present in the brain and periphery. Growing evidence has implicated UA as a molecular biomarker for several neurodegenerative diseases, most notably Parkinson's disease (PD). In this study, we investigated UA levels in clinical samples from HD patients and normal controls (NCs) and assessed potential relationships between UA levels and disease and clinical data. UA levels were measured in plasma (

Indexed as

biofluidbiomarkerbloodbrainneurodegenerativeperipheralsaliva

Identifiers

PMID32194366
PMCPMC7065265
OpenAlexW3009446284

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.