Evidence map›Paper›PMID 35142515›Full record

ArticleJournal of proteome research2022

NMR-based Metabolomics and Fatty Acid Profiles to Unravel Biomarkers in Preclinical Animal Models of Compulsive Behavior.

Ana C Abreu, Santiago Mora, Ana Isabel Tristán, Elena Martín-González, Ángeles Prados-Pardo, Margarita Moreno, Ignacio Fernández

Abstract read
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Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. 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

7 authors.

Ana C AbreuDepartment of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain.
Santiago MoraDepartment of Psychology and Health Research Center CEINSA, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain.
Ana Isabel TristánDepartment of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain.
Elena Martín-GonzálezDepartment of Psychology and Health Research Center CEINSA, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain.
Ángeles Prados-PardoDepartment of Psychology and Health Research Center CEINSA, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain.
Margarita MorenoDepartment of Psychology and Health Research Center CEINSA, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain.
Ignacio FernándezDepartment of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain.ORCID 0000-0001-8355-580X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compulsivity is a key manifestation of inhibitory control deficit and a cardinal symptom of psychopathological conditions such as obsessive-compulsive and attention-deficit hyperactivity disorders, in which metabolic alterations have raised attention as putative biomarkers for early identification. The present study assessed the metabolic profile in a preclinical model of a compulsive phenotype of rats. We used the schedule-induced polydipsia (SIP) method to classify male Wistar rats into high drinkers (HDs) or low drinkers (LDs) according to their compulsive drinking rate developed by exposure to a fixed-time 60 s (FT-60) schedule of reinforcement with water available

Indexed as

Compulsive BehaviorFatty AcidsAnimalsBiomarkersDisease Models, AnimalMagnetic Resonance SpectroscopyMaleMetabolomicsPolydipsiaRatsRats, WistarBiomarkersFatty Acidsbiomarkerscompulsive behaviormetabolomicsNMRschedule-induced polydipsia

Identifiers

PMID35142515
PMCPMC8902800

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Registered trials

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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.