Evidence map›Paper›PMID 28933035›Full record

ArticleHuman cell2018

Expression profiling of microRNAs in human bone tissue from postmenopausal women.

Laura De-Ugarte, Jenny Serra-Vinardell, Lara Nonell, Susana Balcells, Magdalena Arnal, Xavier Nogues, Leonardo Mellibovsky, Daniel Grinberg, Adolfo Diez-Perez, Natalia Garcia-Giralt

Abstract read
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In one paragraph

Article in Human cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 16 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

10 authors at 2 institutions in 1 country.

Laura De-UgarteMusculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, C/Dr. Aiguader 88, 08003, Barcelona, Spain.
Jenny Serra-VinardellDepartment of Genetics, Microbiology and Statistics, Facultat de Biologia, Universitat de Barcelona, IBUB, IRSJD, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Barcelona, Spain.
Lara NonellMicroarray Analysis Service, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Susana BalcellsDepartment of Genetics, Microbiology and Statistics, Facultat de Biologia, Universitat de Barcelona, IBUB, IRSJD, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Barcelona, Spain.
Magdalena ArnalMicroarray Analysis Service, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Xavier NoguesMusculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, C/Dr. Aiguader 88, 08003, Barcelona, Spain.
Leonardo MellibovskyMusculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, C/Dr. Aiguader 88, 08003, Barcelona, Spain.
Daniel GrinbergDepartment of Genetics, Microbiology and Statistics, Facultat de Biologia, Universitat de Barcelona, IBUB, IRSJD, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Barcelona, Spain.
Adolfo Diez-PerezMusculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, C/Dr. Aiguader 88, 08003, Barcelona, Spain.
Natalia Garcia-GiraltMusculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, C/Dr. Aiguader 88, 08003, Barcelona, Spain. ngarcia@imim.es.ORCID http://orcid.org/0000-0001-6507-0147
Instituto de Salud Carlos III · ESHospital Del Mar · ES

Funding

CIBERFES CB16/10/00245Instituto de Salud Carlos III FIS PI13/00116Instituto de Salud Carlos III FIS PI16/00818
6 · The paper itself

Abstract

Bone tissue is composed of several cell types, which express their own microRNAs (miRNAs) that will play a role in cell function. The set of total miRNAs expressed in all cell types configures the specific signature of the bone tissue in one physiological condition. The aim of this study was to explore the miRNA expression profile of bone tissue from postmenopausal women. Tissue was obtained from trabecular bone and was analyzed in fresh conditions (n = 6). Primary osteoblasts were also obtained from trabecular bone (n = 4) and human osteoclasts were obtained from monocyte precursors after in vitro differentiation (n = 5). MicroRNA expression profiling was obtained for each sample by microarray and a global miRNA analysis was performed combining the data acquired in all the microarray experiments. From the 641 miRNAs detected in bone tissue samples, 346 (54%) were present in osteoblasts and/or osteoclasts. The other 46% were not identified in any of the bone cells analyzed. Intersection of osteoblast and osteoclast arrays identified 101 miRNAs shared by both cell types, which accounts for 30-40% of miRNAs detected in these cells. In osteoblasts, 266 miRNAs were detected, of which 243 (91%) were also present in the total bone array, representing 38% of all bone miRNAs. In osteoclasts, 340 miRNAs were detected, of which 196 (58%) were also present in the bone tissue array, representing 31% of all miRNAs detected in total bone. These analyses provide an overview of miRNAs expressed in bone tissue, broadening our knowledge in the microRNA field.

Indexed as

AgedAged, 80 and overBone and BonesCells, CulturedFemaleHumansMicroRNAsOsteoblastsOsteoclastsPostmenopauseTranscriptomeMicroRNAsBone tissueMicroarraysMicroRNAOsteoblastOsteoclast

Identifiers

PMID28933035
OpenAlexW2755488074

What OpenQuestion holds

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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.