Evidence map›Paper›PMID 32546239›Full record

ArticleBMC medicine2020

A prospective longitudinal study on the microbiota composition in amyotrophic lateral sclerosis.

Diana Di Gioia, Nicole Bozzi Cionci, Loredana Baffoni, Angela Amoruso, Marco Pane, Luca Mogna, Francesca Gaggìa, Maria Ausiliatrice Lucenti, Enrica Bersano, Roberto Cantello and 2 more

Abstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 7 pooled it
–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

93 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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33 more citing papers are in PubMed but not listed here.

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

12 authors.

Diana Di GioiaDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 42, Bologna, Italy.
Nicole Bozzi CionciDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 42, Bologna, Italy.
Loredana BaffoniDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 42, Bologna, Italy.
Angela AmorusoBIOLAB RESEARCH srl, via E. Mattei 3, 28100, Novara, Italy.
Marco PaneBIOLAB RESEARCH srl, via E. Mattei 3, 28100, Novara, Italy.
Luca MognaBIOLAB RESEARCH srl, via E. Mattei 3, 28100, Novara, Italy.
Francesca GaggìaDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 42, Bologna, Italy.
Maria Ausiliatrice LucentiDepartment of Neurology and ALS Centre, University of Piemonte Orientale, Maggiore della Carità Hospital, Corso Mazzini 18, 28100, Novara, Italy.
Enrica BersanoDepartment of Neurology and ALS Centre, University of Piemonte Orientale, Maggiore della Carità Hospital, Corso Mazzini 18, 28100, Novara, Italy.
Roberto CantelloDepartment of Neurology and ALS Centre, University of Piemonte Orientale, Maggiore della Carità Hospital, Corso Mazzini 18, 28100, Novara, Italy.
Fabiola De MarchiDepartment of Neurology and ALS Centre, University of Piemonte Orientale, Maggiore della Carità Hospital, Corso Mazzini 18, 28100, Novara, Italy.
Letizia MazziniDepartment of Neurology and ALS Centre, University of Piemonte Orientale, Maggiore della Carità Hospital, Corso Mazzini 18, 28100, Novara, Italy. letizia.mazzini@uniupo.it.

Funding

Probiotical S.p.A. --Università degli Studi del Piemonte Orientale AGING Project for Department of Excellence at the Department of Translational Medicine (DIMET), Università del Piemonte Orientale, Novara, Italy
6 · The paper itself

Abstract

backgroundA connection between amyotrophic lateral sclerosis (ALS) and altered gut microbiota composition has previously been reported in animal models. This work is the first prospective longitudinal study addressing the microbiota composition in ALS patients and the impact of a probiotic supplementation on the gut microbiota and disease progression.

methodsFifty patients and 50 matched controls were enrolled. The microbial profile of stool samples from patients and controls was analyzed via PCR-Denaturing Gradient Gel Electrophoresis, and the main microbial groups quantified via qPCR. The whole microbiota was then analyzed via next generation sequencing after amplification of the V3-V4 region of 16S rDNA. Patients were then randomized to receive probiotic treatment or placebo and followed up for 6 months with ALSFRS-R, BMI, and FVC%.

resultsThe results demonstrate that the gut microbiota of ALS patients is characterized by some differences with respect to controls, regardless of the disability degree. Moreover, the gut microbiota composition changes during the course of the disease as demonstrated by the significant decrease in the number of observed operational taxonomic unit during the follow-up. Interestingly, an unbalance between potentially protective microbial groups, such as Bacteroidetes, and other with potential neurotoxic or pro-inflammatory activity, such as Cyanobacteria, has been shown. The 6-month probiotic treatment influenced the gut microbial composition; however, it did not bring the biodiversity of intestinal microbiota of patients closer to that of control subjects and no influence on the progression of the disease measured by ALSFRS-R was demonstrated.

conclusionsOur study poses the bases for larger clinical studies to characterize the microbiota changes as a novel ALS biomarker and to test new microbial strategy to ameliorate the health status of the gut.

trial registrationCE 107/14, approved by the Ethics Committee of the "Maggiore della Carità" University Hospital, Italy.

Indexed as

AdolescentAdultAgedAmyotrophic Lateral SclerosisAnimalsFemaleGastrointestinal MicrobiomeHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesYoung AdultAmyotrophic lateral sclerosisBiomarkerMicrobiotaNeurodegeneration

Identifiers

PMID32546239
PMCPMC7298784

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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.