Evidence map›Paper›PMID 29721642›Full record

ReviewHistochemistry and cell biology2018

Computational simulation and modeling of the blood-brain barrier pathology.

Sergey Shityakov, Carola Y Förster

Abstract readReview
PubMed Publisher
In one paragraph

Review in Histochemistry and cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. In focus in HCB.Histochemistry and cell biology · 2020
    Article
  11. Article
  12. Review
  13. Review
  14. In focus in HCB.Histochemistry and cell biology · 2018
    Article
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

2 authors at 1 institution in 1 country.

Sergey ShityakovDepartment of Anesthesia and Critical Care, University of Würzburg, 97080, Würzburg, Germany. shityakov_s@ukw.de.
Carola Y FörsterDepartment of Anesthesia and Critical Care, University of Würzburg, 97080, Würzburg, Germany. Foerster_C@ukw.de.ORCID http://orcid.org/0000-0002-3878-247X
University of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In silico methods and models in the pathology of the blood-brain barrier (BBB) or also called BBB "computational pathology", are based on using mathematical approaches together with complex, high-dimensional experimental data to evaluate and predict disease-related impacts on the CNS. These computational methods and tools have been designed to deal with BBB-linked neuropathology at the molecular, cellular, tissue, and organ levels. The molecular and cellular levels mainly include molecular docking and molecular dynamics simulations (atomistic and coarse-grain) of mutated or misfolded tight junction proteins, receptors, and various BBB transporters. The tissue and organ levels encompass the mechanistic and pharmacokinetic models as well as finite-element method and pathway analyses enriched with multiple sources of raw data (e.g., in vitro and in vivo, histopathological records, "-omics", and imaging data). Overall, this review discusses comprehensive computational techniques and strategies at different levels of complexity, providing new insights and future directions for diagnosis, treatment improvement, and a deeper understanding of BBB-related neuropathological events.

Indexed as

Models, BiologicalMolecular Docking SimulationMolecular Dynamics SimulationAnimalsBlood-Brain BarrierHumansMembrane Transport ProteinsMembrane Transport ProteinsBlood–brain barrierComputational pathologyFinite element analysisMolecular dockingMolecular dynamicsPharmacokinetics

Identifiers

PMID29721642
OpenAlexW2802663173

What OpenQuestion 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 OpenQuestion graph.