Evidence map›Paper›PMID 36180674›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

MEL-Index: Estimation of Tissue Melatonin Levels Using Gene Expression Data.

Pedro Augusto C M Fernandes, Regina P Markus, Gabriela Sarti Kinker

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Pedro Augusto C M FernandesDDark Lab, Department of Physiology, Biosciences Institute, University of São Paulo, São Paulo, Brazil. pacmf@usp.br.
Regina P MarkusDDark Lab, Department of Physiology, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
Gabriela Sarti KinkerInternational Research Center, A.C. Camargo Cancer Center, São Paulo, Brazil.
Universidade de São Paulo · BRAC Camargo Hospital · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melatonin synthesis by extrapineal sources adjusts physiological and pathophysiological processes in several types of cells and tissues. As measuring locally produced melatonin in fresh tissues might be a challenge due to limited material availability, we created a simple predictive model, the MEL-Index, which infers the content of tissue melatonin using gene expression data. The MEL-Index can be a powerful tool to study the role of melatonin in different contexts. Applying the MEL-Index method to RNA-seq datasets, we have shed light into the clinical relevance of melatonin as a modulator tumor progression and lung infection due to COVID-19. The MEL-Index combines the z-normalized expressions of ASMT (Acetylserotonin O-Methyltransferase), last enzyme of the biosynthetic pathway, and CYP1B1 (cytochrome P450 family enzyme), which encodes the enzyme that metabolizes melatonin in extrahepatic tissues. In this chapter, we describe the steps for calculating the MEL-Index.

Indexed as

COVID-19MelatoninAcetylserotonin O-MethyltransferaseCytochrome P-450 Enzyme SystemGene ExpressionHumansAcetylserotonin O-MethyltransferaseCytochrome P-450 Enzyme SystemMelatoninExtrapineal melatoninMEL-IndexTissue physiology

Identifiers

PMID36180674
OpenAlexW4298326444

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.