Evidence map›Paper›PMID 35987701›Full record

ReviewMolecular aspects of medicine2023

In vitro high-content tissue models to address precision medicine challenges.

Samson Afewerki, Thiago Domingues Stocco, André Diniz Rosa da Silva, André Sales Aguiar Furtado, Gustavo Fernandes de Sousa, Guillermo U Ruiz-Esparza, Thomas J Webster, Fernanda R Marciano, Maria Strømme, Yu Shrike Zhang and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Molecular aspects of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
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

11 authors.

Samson AfewerkiDivision of Nanotechnology and Functional Materials, Department of Materials Science and Engineering, Ångström Laboratory, Uppsala University, BOX 35, 751 03, Uppsala, Sweden.
Thiago Domingues StoccoBioengineering Program, Technological and Scientific Institute, Brazil University, 08230-030, São Paulo, SP, Brazil; Faculty of Medical Sciences, Unicamp - State University of Campinas, 13083-877, Campinas, SP, Brazil.
André Diniz Rosa da SilvaFATEC Ribeirão Preto, SP, Brazil.
André Sales Aguiar FurtadoInterdisciplinary Laboratory for Advanced Materials, BioMatLab, Department of Materials Engineering, Federal University of Piauí (UFPI), Teresina, PI, Brazil.
Gustavo Fernandes de SousaInterdisciplinary Laboratory for Advanced Materials, BioMatLab, Department of Materials Engineering, Federal University of Piauí (UFPI), Teresina, PI, Brazil.
Guillermo U Ruiz-EsparzaDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA; Division of Health Sciences and Technology, Harvard University ‑ Massachusetts Institute of Technology, Boston, MA, 02115, USA.
Thomas J WebsterInterdisciplinary Laboratory for Advanced Materials, BioMatLab, Department of Materials Engineering, Federal University of Piauí (UFPI), Teresina, PI, Brazil; Hebei University of Technology, Tianjin, China.
Fernanda R MarcianoDepartment of Physics, Federal University of Piauí (UFPI), Teresina, PI, Brazil.
Maria StrømmeDivision of Nanotechnology and Functional Materials, Department of Materials Science and Engineering, Ångström Laboratory, Uppsala University, BOX 35, 751 03, Uppsala, Sweden.
Yu Shrike ZhangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA; Division of Health Sciences and Technology, Harvard University ‑ Massachusetts Institute of Technology, Boston, MA, 02115, USA. Electronic address: yszhang@research.bwh.harvard.edu.
Anderson Oliveira LoboInterdisciplinary Laboratory for Advanced Materials, BioMatLab, Department of Materials Engineering, Federal University of Piauí (UFPI), Teresina, PI, Brazil. Electronic address: lobo@ufpi.edu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of precision medicine allows for tailor-made treatments specific to a patient and thereby improve the efficiency and accuracy of disease prevention, diagnosis, and treatment and at the same time would reduce the cost, redundant treatment, and side effects of current treatments. Here, the combination of organ-on-a-chip and bioprinting into engineering high-content in vitro tissue models is envisioned to address some precision medicine challenges. This strategy could be employed to tackle the current coronavirus disease 2019 (COVID-19), which has made a significant impact and paradigm shift in our society. Nevertheless, despite that vaccines against COVID-19 have been successfully developed and vaccination programs are already being deployed worldwide, it will likely require some time before it is available to everyone. Furthermore, there are still some uncertainties and lack of a full understanding of the virus as demonstrated in the high number new mutations arising worldwide and reinfections of already vaccinated individuals. To this end, efficient diagnostic tools and treatments are still urgently needed. In this context, the convergence of bioprinting and organ-on-a-chip technologies, either used alone or in combination, could possibly function as a prominent tool in addressing the current pandemic. This could enable facile advances of important tools, diagnostics, and better physiologically representative in vitro models specific to individuals allowing for faster and more accurate screening of therapeutics evaluating their efficacy and toxicity. This review will cover such technological advances and highlight what is needed for the field to mature for tackling the various needs for current and future pandemics as well as their relevancy towards precision medicine.

Indexed as

COVID-19COVID-19 VaccinesHumansPrecision MedicineSARS-CoV-2COVID-19 VaccinesBioprintingCOVID-19Organ-on-a-chipPrecision medicineSARS-CoV-2

Identifiers

PMID35987701
PMCPMC9384546

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.