Evidence map›Paper›PMID 31240613›Full record

ReviewCurrent obesity reports2019

Oxytocin and Vasopressin Systems in Obesity and Metabolic Health: Mechanisms and Perspectives.

Cherlyn Ding, Faidon Magkos

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Cherlyn Ding, Singapore, Singapore.
Faidon MagkosDepartment of Nutrition, Exercise and Sports-Section of Obesity Research, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C; Building 2-85, Room H134, Copenhagen, Denmark. fma@nexs.ku.dk.
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe neurohypophysial endocrine system is identified here as a potential target for therapeutic interventions toward improving obesity-related metabolic dysfunction, given its coinciding pleiotropic effects on psychological, neurological and metabolic systems that are disrupted in obesity. RECENT

findingsCopeptin, the C-terminal portion of the precursor of arginine-vasopressin, is positively associated with body mass index and risk of type 2 diabetes. Plasma oxytocin is decreased in obesity and several other conditions of abnormal glucose homeostasis. Recent data also show non-classical tissues, such as myocytes, hepatocytes and β-cells, exhibit responses to oxytocin and vasopressin receptor binding that may contribute to alterations in metabolic function. The modulation of anorexigenic and orexigenic pathways appears to be the dominant mechanism underlying the effects of oxytocin and vasopressin on body weight regulation; however, there are apparent limitations associated with their use in direct pharmacological applications. A clearer picture of their wider physiological effects is needed before either system can be considered for therapeutic use.

Indexed as

AnimalsBlood GlucoseBody Mass IndexBody WeightDiabetes Mellitus, Type 2EatingEnergy MetabolismGastrointestinal MicrobiomeGlucoseHepatocytesHomeostasisHumansInsulin ResistanceLipid MetabolismMuscle CellsObesityBlood GlucoseGlucoseOxytocinVasopressinsBeta-cell functionEnergy expenditureInsulin resistanceNeurohypophysisSubstrate metabolismVasopressin

Identifiers

PMID31240613
OpenAlexW2954836758

What OpenQuestion holds

Textmetadata
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.