Evidence map›Paper›PMID 33751844›Full record

ArticleEMBO molecular medicine2021

Peripheral blood transcriptome profiling enables monitoring disease progression in dystrophic mice and patients.

Mirko Signorelli, Mitra Ebrahimpoor, Olga Veth, Kristina Hettne, Nisha Verwey, Raquel García-Rodríguez, Christa L Tanganyika-deWinter, Luz B Lopez Hernandez, Rosa Escobar Cedillo, Benjamín Gómez Díaz and 5 more

Open access · goldAbstract read
In one paragraph

Article in EMBO molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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, 26 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

15 authors at 3 institutions in 3 countries.

Mirko SignorelliDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-8102-3356
Mitra EbrahimpoorDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Olga VethDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Kristina HettneDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-4182-7560
Nisha VerweyDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Raquel García-RodríguezDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Christa L Tanganyika-deWinterDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Luz B Lopez HernandezDepartamento de Medicina Genómica, Universidad Autónoma de Guadalajara, Guadalajara, Mexico.
Rosa Escobar CedilloSociedad Mexicana de la Distrofia Muscular A.C INR-LGII, Ciudad de México, Mexico.
Benjamín Gómez DíazSociedad Mexicana de la Distrofia Muscular A.C INR-LGII, Ciudad de México, Mexico.
Olafur T MagnussondeCODE genetics/Amgen, Reykjavik, Iceland.
Hailiang MeiSequencing Analysis Support Core, Leiden University Medical Center, Leiden, The Netherlands.
Roula TsonakaDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Annemieke Aartsma-RusDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Pietro SpitaliDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2783-688X
Leiden University Medical Center · NLdeCODE Genetics (Iceland) · ISUniversidad Autónoma de Guadalajara · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DMD is a rare disorder characterized by progressive muscle degeneration and premature death. Therapy development is delayed by difficulties to monitor efficacy non-invasively in clinical trials. In this study, we used RNA-sequencing to describe the pathophysiological changes in skeletal muscle of 3 dystrophic mouse models. We show how dystrophic changes in muscle are reflected in blood by analyzing paired muscle and blood samples. Analysis of repeated blood measurements followed the dystrophic signature at five equally spaced time points over a period of seven months. Treatment with two antisense drugs harboring different levels of dystrophin recovery identified genes associated with safety and efficacy. Evaluation of the blood gene expression in a cohort of DMD patients enabled the comparison between preclinical models and patients, and the identification of genes associated with physical performance, treatment with corticosteroids and body measures. The presented results provide evidence that blood RNA-sequencing can serve as a tool to evaluate disease progression in dystrophic mice and patients, as well as to monitor response to (dystrophin-restoring) therapies in preclinical drug development and in clinical trials.

Indexed as

Muscular Dystrophy, DuchenneAnimalsDisease ProgressionGene Expression ProfilingHumansMiceMice, Inbred mdxMuscle, SkeletalTranscriptomebiomarkersDuchenne muscular dystrophydystrophinopathiesRNA-seq

Identifiers

PMID33751844
PMCPMC8033515
OpenAlexW3133701184

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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.