Evidence map›Paper›PMID 37273086›Full record

ReviewCurrent osteoporosis reports2023

Influence of Osteocyte Lacunar-Canalicular Morphology and Network Architecture on Osteocyte Mechanosensitivity.

Wen Sang, Ani Ural

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

2 authors.

Wen SangDepartment of Mechanical Engineering, Villanova University, 800 Lancaster Avenue, Villanova, PA, 19085, USA.
Ani UralDepartment of Mechanical Engineering, Villanova University, 800 Lancaster Avenue, Villanova, PA, 19085, USA. ani.ural@villanova.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe goal of this review is to summarize recent findings related to modifications in osteocyte lacunar and canalicular morphology due to physiological and pathological conditions. In addition, this review aims to outline how these modifications may influence the local mechanical environment of osteocytes and their mechanosensitivity. RECENT

findingsReduction in lacunar density with age and increasing lacunar size with lactation are confirmed in multiple studies in human and murine bone. There is also evidence of a reduction in canalicular density, length, and branching, as well as increasing sphericity and smaller lacunae with aging and disease. However, while some studies have found modifications in lacunar density, size, shape, and orientation, as well as canalicular density, length, and size due to specific physiological and pathological conditions, others have not observed any differences. Recent finite element models provide insights into how observed modifications in the lacunar-canalicular network (lacunar and canalicular density) and lacunar-canalicular morphology (lacunar area/volume, shape, and orientation as well as canalicular diameter and length) may influence the fluid flow and local strains around the lacunar-canalicular network and modify the local mechanical environment of osteocytes. Modifications in the lacunar-canalicular network morphology may lead to significant changes in the strains received by osteocytes and may influence bone's response to mechanical stimulation as osteocytes are the primary mechanosensing bone cells. Further experimental and computational studies will continue to improve our understanding of the relationship between lacunar-canalicular network morphology and osteocyte mechanosensitivity.

Indexed as

Bone and BonesOsteocytesAgingAnimalsFemaleHumansLactationMiceCanalicular morphologyCanaliculiLacunar-canalicular network architectureOsteocyte lacunaOsteocyte lacunar morphologyOsteocyte mechanosensitivity

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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.