Evidence map›Paper›PMID 20398430›Full record

ArticleBMC microbiology2010

High taxonomic level fingerprint of the human intestinal microbiota by ligase detection reaction--universal array approach.

Marco Candela, Clarissa Consolandi, Marco Severgnini, Elena Biagi, Bianca Castiglioni, Beatrice Vitali, Gianluca De Bellis, Patrizia Brigidi

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Article in BMC microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. A DNA microarray for the versatile diagnosis of infectious diarrhea.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2013
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  16. DNA microarrays for the diagnosis of infectious diseases.Medecine et maladies infectieuses · 2012
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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

8 authors.

Marco CandelaDepartment of Pharmaceutical Science, University of Bologna, Italy. marco.candela@unibo.it
Clarissa Consolandi
Marco Severgnini
Elena Biagi
Bianca Castiglioni
Beatrice Vitali
Gianluca De Bellis
Patrizia Brigidi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAffecting the core functional microbiome, peculiar high level taxonomic unbalances of the human intestinal microbiota have been recently associated with specific diseases, such as obesity, inflammatory bowel diseases, and intestinal inflammation.

resultsIn order to specifically monitor microbiota unbalances that impact human physiology, here we develop and validate an original DNA-microarray (HTF-Microbi.Array) for the high taxonomic level fingerprint of the human intestinal microbiota. Based on the Ligase Detection Reaction-Universal Array (LDR-UA) approach, the HTF-Microbi.Array enables specific detection and approximate relative quantification of 16S rRNAs from 30 phylogenetically related groups of the human intestinal microbiota. The HTF-Microbi.Array was used in a pilot study of the faecal microbiota of eight young adults. Cluster analysis revealed the good reproducibility of the high level taxonomic microbiota fingerprint obtained for each of the subject.

conclusionThe HTF-Microbi.Array is a fast and sensitive tool for the high taxonomic level fingerprint of the human intestinal microbiota in terms of presence/absence of the principal groups. Moreover, analysis of the relative fluorescence intensity for each probe pair of our LDR-UA platform can provide estimation of the relative abundance of the microbial target groups within each samples. Focusing the phylogenetic resolution at division, order and cluster levels, the HTF-Microbi.Array is blind with respect to the inter-individual variability at the species level.

Indexed as

MetagenomeAdultCluster AnalysisDNA FingerprintingFecesHumansIntestinesMetagenomicsOligonucleotide Array Sequence AnalysisReproducibility of ResultsRNA, BacterialRNA, Ribosomal, 16SRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID20398430
PMCPMC2873488

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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.