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Enregistrement W903426905

Exploration of genetic factors controlling cancellous bone microstructure of mouse

2013· dissertation· en· W903426905 sur OpenAlexfundno aff
太郎 片岡

Notice bibliographique

RevueInstitutional Repositories DataBase (IRDB) · 2013
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBone Metabolism and Diseases
Établissements canadiensnon disponible
Organismes subventionnairesInstitute of Genetics
Mots-clésCancellous boneMicrostructureBiologyMaterials scienceAnatomyComposite material
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Bones have crucial roles in supporting body as one of the locomotor apparatuses, maintaining mineral homeostasis and protecting vital organs. Bone tissues are classified into two types by visual appearance and location, “cancellous (trabecular) bone” and “cortical bone”. Cancellous bone, also known as sponge bone, is found in vertebral body and both ends of long bone like tibia and femur. It has larger surface area but shows weaker strength than cortical bone. It provides structural strength to bone tissue. Cortical bone forms cortex of most bones. It is stronger and stiffer than cancellous bone. The outer shell surrounding the cancellous bone at the end of the joints is also made up of cortical bone. Bones in adulthood are continuously renewed by old bone resorption by osteoclasts and new bone formation by osteoblasts. This process is called “bone remodeling”. Bone remodeling is important for bone homeostasis, and is essential for maintenance of healthy bones. Disruption of ideal balance in bone remodeling causes abnormal bone mass such as osteoporosis and osteopetrosis. A series of longitudinal studies of human populations have showed that bone mineral density (BMD) is correlated with physical strength of bone, and a most important risk factor for bone fracture. However, human studies also indicated that BMD at any time points is well correlated with peak (highest) bone mass in the early growth phase of bone. Furthermore, these studies have also revealed that more than half of variation in the early growth phase of bone, which occurs over a short time period during puberty, is determined predominantly by genetic factors. Recent advance in X-ray micro-computed tomography (micro-CT) has enabled to analyze three-dimensional (3D) structure of the cancellous bones without tissue destruction. Such studies have indicated that the risk of bone fracture in human elders increases as BMD decreases, but the biomechanical competence (physical strength) of bone and risk factor of bone fracture are dependent not only on BMD as the absolute amount of bone mass, but also on the 3D microstructure of cancellous bone. This fact suggests that we need to pay more attention to bone microstructure for identifying genetic risk factors for bone fracture. Recent studies also showed that there is a very good correlation between the bone microstructural measure obtained from the X-ray micro-CT and that obtained from conventional histological 2D sections. In particular, excellent correlation was found between bone volume fraction (BV/TV), which is the measure of cancellous bone volume per total volume surrounded by cortical bone, and the data of the histological 2D sections. Subsequent studies of microstructure of mouse cancellous bone by X-ray micro-CT have also showed that cancellous bone loss is observed even in the early growth phase of bone, and occurs continuously until the later adulthood stage, consistent with facts that cancellous bone is highly sensitive to change of bone metabolism, and is easily fractured in human elders. Forward genetics approaches to explore polygenic factors responsible for bone homeostasis can be efficiently pursued in animal models. Usage of the animal models enables to control genome heterogeneity and environmental factors, and improves the power to identify heritable regulation of bone homeostasis. Variations in genome sequences and bone phenotypes among different inbred strains of mice are amenable to genetic analyses of polygenic complex traits of bone phenotypes via the quantitative trait loci (QTL) analysis. In fact, several studies with inbred mouse strains have revealed QTLs that affect microstructure of mouse cancellous bone. However, none of causative genes for the QTLs has been identified so far. In this study, I focused on genetic factors responsible for variation in microstructure of mouse cancellous bone at the earlier growth phase of 6 to 10 weeks of age, because the early growth phase is critical for bone density and microstructure at any time in the later adulthood stage. The genes that regulate bone formation during embryonic development have been intensively studied by reverse genetics approaches with knockout mouse strains, and the genes involved in bone homeostasis at the later adulthood stage have been extensively studied by genome wide association study for human populations. By contrast, there is only limited information for genes acting for forming bone microstructure at the earlier and growing phase of bone. This is another reason that I focused on the early growth phase of mouse bone. For genetic analyses in this study, I used two strains, a laboratory inbred strain C57BL/6J (hereafter abbreviated B6) and Japanese wild mouse (Mus musculus molossinus)-derived MSM/Ms. These two strains are genetically very distant one another, and more than ten million SNPs have been identified between these two strains, and the SNP data are now fully available. As a consequence of its genome divergence from B6 and other laboratory strains, MSM/Ms appeared to have unique complex traits that are never observed in standard laboratory strains. Another great advantage to use the B6 and MSM/Ms strains is that a full set of consomic strains, in which every B6 chromosome is replaced by counterpart of MSM/Ms, is now established and available for exploring QTLs. At the beginning of this study, the X-ray micro-CT phenotyping of microstructure of cancellous bone of tibia at 10 weeks of age showed that MSM/Ms has far smaller value of bone volume fraction (BV/TV) than that of B6. This finding prompted me to pursue systematic phenotype screening of the same trait for the full set of B6-MSM/Ms consomic strains. As a result, I found that among all consomic strains B6-Chr15MSM carrying MSM/Ms-derive chromosome 15 (Chr15) shows the smallest cancellous bone volume fraction, indicating that mouse Chr15 harbors QTLs affecting bone microstructure, which is likely relevant to bone physical strength. Next, in order to further dissect genetic factors into sub-regions of Chr15, I generated nested sub-consomic strains that harbor sub-divided fragments of MSM/Ms Chr15. Bone phenotyping of these strains revealed that at least four chromosomal blocks of Chr15 genetically control the trait of cancellous bone microstructure. I named these blocks, Block 1 to 4, each of which contains at least one QTL affecting microstructure of cancellous bone. None of these four QTLs has been reported by other groups’ previous studies. It is of interest to note that the MSM/Ms alleles at the QTLs in the Block 2, 3 and 4 decrease the bone volume fraction (BV/TV) relative to B6 as were expected, but the MSM/Ms allele at the QTL in Block 1 rather increases the BV/TV value relative to B6. Thus, the analysis with the sub-consomic strains revealed marked complexity of genetic architecture to control cancellous bone microstructure in mouse, and demonstrated that the analysis with consomic and sub-consomic strains has strong power to detect each of numerous QTLs, even if its phenotypic effect is modest. Finally, I paid special attention to one short sub-block, named Sub-block 1-1, included in Block 1, the borders of which are defined by difference in the MSM/Ms-derived fragments of two sub-consomic strains. I intensively explored candidates of the causative gene for the QTL in Sub-block 1-1, because no known gene to be involved in bone regulation and homeostasis is assigned to this interval. I identified eight genes as candidates. In particular, four of them, Ankrd33b, Ropn1l, March6 and Fam173b, are good candidates from the aspects of expression pattern difference and amino acid change between B6 and MSM/Ms. Thus, this study provides indispensable clues for understanding genetic architecture underlying bone regulation and homeostasis of mouse, and for searching genetic factors responsible for osteoporosis in human.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,246
Écart entre enseignants0,235 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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