Evidence map›Paper›PMID 34588564›Full record

ArticleScientific reports2021

Assessing effectiveness of Komagataeibacter strains for producing surface-microstructured cellulose via guided assembly-based biolithography.

Marcello Brugnoli, Francesco Robotti, Salvatore La China, Kavitha Anguluri, Hossein Haghighi, Simone Bottan, Aldo Ferrari, Maria Gullo

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Marcello BrugnoliDepartment of Life Sciences, University of Modena and Reggio Emilia, 42123, Reggio Emilia, Italy.
Francesco RobottiHylomorph AG, Zurich, Switzerland.
Salvatore La ChinaDepartment of Life Sciences, University of Modena and Reggio Emilia, 42123, Reggio Emilia, Italy.
Kavitha AnguluriDepartment of Life Sciences, University of Modena and Reggio Emilia, 42123, Reggio Emilia, Italy.
Hossein HaghighiDepartment of Life Sciences, University of Modena and Reggio Emilia, 42123, Reggio Emilia, Italy.
Simone BottanHylomorph AG, Zurich, Switzerland.
Aldo FerrariHylomorph AG, Zurich, Switzerland. af@hylomorph-medical.com.
Maria GulloDepartment of Life Sciences, University of Modena and Reggio Emilia, 42123, Reggio Emilia, Italy. maria.gullo@unimore.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a medical device made of surface microstructured bacterial cellulose was produced using cellulose-producing acetic acid bacteria wild-type strains in combination with guided assembly-based biolithography. The medical device aims at interfering with the cell's focal adhesion establishment and maturation around implantable devices placed in soft tissues by the symmetrical array on its surface. A total of 25 Komagataeibacter strains was evaluated over a three-step selection. In the first step, the ability of strains to produce a suitable bacterial cellulose layer with high production yield was examined, then nine strains, with a uniform and smooth layer of bacterial cellulose, were cultured in a custom-made silicone bioreactor and finally the characteristics of the symmetrical array of topographic features on the surface were analysed. Selected strains showed high inter and intra species variability in bacterial cellulose production. The devices obtained by K2G30, K1G4, DSM 46590 (Komagataeibacter xylinus), K2A8 (Komagataeibacter sp.) and DSM 15973

Indexed as

Equipment and SuppliesPrinting, Three-DimensionalAcetobacteraceaeBioprintingCelluloseCellulose

Identifiers

PMID34588564
PMCPMC8481549

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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.