Evidence map›Paper›PMID 33085993›Full record

ReviewArchives of endocrinology and metabolism2021

Metabolomics as a potential tool for the diagnosis of growth hormone deficiency (GHD): a review.

Breno Sena De San-Martin, Vinícius Guimarães Ferreira, Mariana Rechia Bitencourt, Paulo Cesar Gonçalves Pereira, Emanuel Carrilho, Nilson Antônio de Assunção, Luciani Renata Silveira de Carvalho

Abstract readReview
In one paragraph

Review in Archives of endocrinology and metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Breno Sena De San-MartinEscola Paulista de Medicina da Universidade Federal de São Paulo (EPM-UNIFESP), São Paulo, SP, Brasil.
Vinícius Guimarães FerreiraInstituto de Química de São Carlos da Universidade de São Paulo (IQSC-USP), São Carlos, SP, Brasil.
Mariana Rechia BitencourtUnidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM42, Disciplina de Endocrinologia, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brasil.
Paulo Cesar Gonçalves PereiraUnidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular LIM42, Disciplina de Endocrinologia, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brasil.
Emanuel CarrilhoInstituto de Química de São Carlos da Universidade de São Paulo (IQSC-USP), São Carlos, SP, Brasil.
Nilson Antônio de AssunçãoEscola Paulista de Medicina da Universidade Federal de São Paulo (EPM-UNIFESP), São Paulo, SP, Brasil.
Luciani Renata Silveira de CarvalhoDepartamento de Química, Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Universidade Federal de São Paulo, Diadema, SP, Brasil, luciani.carvalho@hc.fm.usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics uses several analytical tools to identify the chemical diversity of metabolites present in organisms. These metabolites are low molecular weight molecules (<1500 Da) classified as a final or intermediary product of metabolic processes. The application of this omics technology has become prominent in inferring physiological conditions through reporting on the phenotypic state; therefore, the introduction of metabolomics into clinical studies has been growing in recent years due to its efficiency in discriminating pathophysiological states. Regarding endocrine diseases, there is a great interest in verifying comprehensive and individualized physiological scenarios, in particular for growth hormone deficiency (GHD). The current GHD diagnostic tests are laborious and invasive and there is no exam with ideal reproducibility and sensitivity for diagnosis neither standard GH cut-off point. Therefore, this review was focussed on articles that applied metabolomics in the search for new biomarkers for GHD. The present work shows that the applications of metabolomics in GHD are still limited, since the little complementarily of analytical techniques, a low number of samples, GHD combined to other deficiencies, and idiopathic diagnosis shows a lack of progress. The results of the research are relevant and similar; however, their results do not provide an application for clinical practice due to the lack of multidisciplinary actions that would be needed to mediate the translation of the knowledge produced in the laboratory, if transferred to the medical setting.

Indexed as

Dwarfism, PituitaryHuman Growth HormoneMetabolomicsBiomarkersHumansReproducibility of ResultsBiomarkersHuman Growth HormoneGHDmetabolitesMetabolomicspathophysiologytranslational

Identifiers

PMID33085993
PMCPMC10528619

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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.