Evidence map›Paper›PMID 29057124›Full record

ArticleSleep disorders2017

Systems Biology Genetic Approach Identifies Serotonin Pathway as a Possible Target for Obstructive Sleep Apnea: Results from a Literature Search Review.

Ram Jagannathan, Azizi Seixas, David St-Jules, Lakshmanan Jagannathan, April Rogers, Lu Hu, Girardin Jean-Louis, Mary Ann Sevick

Open access · hybridAbstract read
In one paragraph

Article in Sleep disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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  10. Noncoding Microdeletion in MouseThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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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 1 institution in 1 country.

Ram JagannathanHubert Department of Global Health, Emory Global Diabetes Research Center, Atlanta, GA, USA.ORCID 0000-0002-3994-3474
Azizi SeixasNYU School of Medicine, Department of Population Health, Center for Healthful Behavior Change, New York, NY 10016, USA.ORCID 0000-0003-0843-2679
David St-JulesNYU School of Medicine, Department of Population Health, Center for Healthful Behavior Change, New York, NY 10016, USA.
Lakshmanan JagannathanVantage Research Center, Chennai 600 006, India.
April RogersNYU School of Medicine, Department of Population Health, Center for Healthful Behavior Change, New York, NY 10016, USA.
Lu HuNYU School of Medicine, Department of Population Health, Center for Healthful Behavior Change, New York, NY 10016, USA.
Girardin Jean-LouisNYU School of Medicine, Department of Population Health, Center for Healthful Behavior Change, New York, NY 10016, USA.
Mary Ann SevickNYU School of Medicine, Department of Population Health, Center for Healthful Behavior Change, New York, NY 10016, USA.ORCID 0000-0002-5482-7535
GE Global Research (United States) · US

Funding

Lifestyle Management of CKD in Obese Diabetic PatientsR01DK100492 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEVICK, MARY A · 2014 to 2018
$3.6M
The effect of insufficient sleep on cardiovascular disease disparity between blacks and whitesK01HL135452 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEIXAS, AZIZI · 2017 to 2020
$719k
Program to Improve Care in Complex Chronic DiseaseK24NR012226 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEVICK, MARY A · 2011 to 2015
$602k
NHLBI NIH HHS K01 HL135452NIDDK NIH HHS R01 DK100492NINR NIH HHS K24 NR012226
6 · The paper itself

Abstract

rationaleOverall validity of existing genetic biomarkers in the diagnosis of obstructive sleep apnea (OSA) remains unclear. The objective of this systematic genetic study is to identify "novel" biomarkers for OSA using systems biology approach.

methodsCandidate genes for OSA were extracted from PubMed, MEDLINE, and Embase search engines and DisGeNET database. The gene ontology (GO) analyses and candidate genes prioritization were performed using Enrichr tool. Genes pertaining to the top 10 pathways were extracted and used for Ingenuity Pathway Analysis.

resultsIn total, we have identified 153 genes. The top 10 pathways associated with OSA include (i) serotonin receptor interaction, (ii) pathways in cancer, (iii) AGE-RAGE signaling in diabetes, (iv) infectious diseases, (v) serotonergic synapse, (vi) inflammatory bowel disease, (vii) HIF-1 signaling pathway, (viii) PI3-AKT signaling pathway, (ix) regulation lipolysis in adipocytes, and (x) rheumatoid arthritis. After removing the overlapping genes, we have identified 23 candidate genes, out of which >30% of the genes were related to the genes involved in the serotonin pathway. Among these 4 serotonin receptors SLC6A4, HTR2C, HTR2A, and HTR1B were strongly associated with OSA.

conclusionsThis preliminary report identifies several potential candidate genes associated with OSA and also describes the possible regulatory mechanisms.

Identifiers

PMID29057124
PMCPMC5625807
OpenAlexW2755469862

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LicenceCC BY
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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.