Evidence map›Paper›PMID 37564886›Full record

ArticleJournal of the Endocrine Society2023

Blood Lymphocyte Subsets and Proinflammatory Cytokine Profile in ROHHAD(NET) and non-ROHHAD(NET) Obese Individuals.

Daniela Fava, Fabio Morandi, Ignazia Prigione, Alessia Angelelli, Paola Bocca, Angela Pistorio, Stefano Volpi, Giuseppa Patti, Carlotta Pepino, Emilio Casalini and 5 more

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

Article in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
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

15 authors at 2 institutions in 1 country.

Daniela FavaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, 16132 Genoa, Italy.ORCID https://orcid.org/0000-0002-0128-6501
Fabio MorandiUOSD Cell Factory, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Ignazia PrigioneCenter for Autoinflammatory Diseases and Immunodeficiencies, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Alessia AngelelliDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, 16132 Genoa, Italy.ORCID https://orcid.org/0000-0002-1059-7029
Paola BoccaCenter for Autoinflammatory Diseases and Immunodeficiencies, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Angela PistorioScientific Direction, Epidemiology and Biostatistics Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.
Stefano VolpiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, 16132 Genoa, Italy.
Giuseppa PattiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, 16132 Genoa, Italy.
Carlotta PepinoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, 16132 Genoa, Italy.
Emilio CasaliniDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, 16132 Genoa, Italy.ORCID https://orcid.org/0000-0003-0754-4548
Anna Elsa Maria AllegriDepartment of Pediatrics, Pediatric Endocrinology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID https://orcid.org/0000-0002-5927-049X
Natascia Di IorgiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, 16132 Genoa, Italy.ORCID https://orcid.org/0000-0002-4492-4585
Giuseppe d'AnnunzioDepartment of Pediatrics, Pediatric Endocrinology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID https://orcid.org/0000-0002-1856-2277
Flavia NapoliDepartment of Pediatrics, Pediatric Endocrinology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID https://orcid.org/0000-0003-3567-6118
Mohamad MaghnieDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, 16132 Genoa, Italy.ORCID https://orcid.org/0000-0002-7183-5238
Istituto Giannina Gaslini · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Rapid-onset obesity with central hypoventilation, hypothalamic dysfunction, and autonomic dysregulation with neural crest tumors (ROHHAD-NET) syndrome pathophysiology remains elusive. Acquired neuroimmunological dysfunction has been proposed as a possible pathogenetic pathway. Objective: The aim of our study was to characterize lymphocyte subpopulations subsets in peripheral blood (PB) and to evaluate a panel of proinflammatory cytokines/chemokines in ROHHAD(NET) patients vs controls. Methods: We included 11 ROHHAD(NET) patients, 7 ROHHAD and 4 ROHHAD-NET, selected by clinical criteria. Controls were 11 simple obese children, matched for age and sex. Flow cytometric analysis and enzyme-linked immunosorbent assay were performed on PB and serum samples of the 2 groups. Results: Analysis revealed that T lymphocytes are significantly increased in ROHHAD(NET) patients ( Conclusion: Our findings contribute to support the hypothesis of immune dysregulation, which may underlie this complex, often fatal disease. Because ROHHAD(NET) syndrome is an ultra-rare disease, multicentric studies are needed to improve the effect of our data in the management of this condition.

Indexed as

chemokinescytokinesimmune phenotypeROHHADROHHAD-NET

Identifiers

PMID37564886
PMCPMC10411042
OpenAlexW4385520483

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.