Evidence map›Paper›PMID 32181336›Full record

ArticleScience advances2020

In silico experiments of bone remodeling explore metabolic diseases and their drug treatment.

Y Kameo, Y Miya, M Hayashi, T Nakashima, T Adachi

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Clinical Data for Parametrization ofFrontiers in bioengineering and biotechnology · 2022
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  19. Neuronal Induction of Bone-Fat Imbalance through Osteocyte Neuropeptide Y.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Y KameoDepartment of Biosystems Science, Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto, Japan.ORCID 0000-0002-5193-9398
Y MiyaDepartment of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
M HayashiDepartment of Cell Signaling, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
T NakashimaDepartment of Cell Signaling, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
T AdachiDepartment of Biosystems Science, Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto, Japan.ORCID 0000-0001-5280-4156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone structure and function are maintained by well-regulated bone metabolism and remodeling. Although the underlying molecular and cellular mechanisms are now being understood, physiological and pathological states of bone are still difficult to predict due to the complexity of intercellular signaling. We have now developed a novel in silico experimental platform, V-Bone, to integratively explore bone remodeling by linking complex microscopic molecular/cellular interactions to macroscopic tissue/organ adaptations. Mechano-biochemical couplings modeled in V-Bone relate bone adaptation to mechanical loading and reproduce metabolic bone diseases such as osteoporosis and osteopetrosis. V-Bone also enables in silico perturbation on a specific signaling molecule to observe bone metabolic dynamics over time. We also demonstrate that this platform provides a powerful way to predict in silico therapeutic effects of drugs against metabolic bone diseases. We anticipate that these in silico experiments will substantially accelerate research into bone metabolism and remodeling.

Indexed as

Computer SimulationModels, BiologicalOsteopetrosisOsteoporosisBone RemodelingHumans

Identifiers

PMID32181336
PMCPMC7060067

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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.