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Enregistrement W2164936738 · doi:10.1074/mcp.m111.011700

Peripheral Blood Monocyte-expressed ANXA2 Gene is Involved in Pathogenesis of Osteoporosis in Humans

2011· article· en· W2164936738 sur OpenAlexfundno aff
Fei‐Yan Deng, Shu‐Feng Lei, Yan Zhang, Yu-Ling Zhang, Yan-Peng Zheng, Li-Shu Zhang, Rong Pan, Lili Wang, Qing Tian, Hui Shen, Ming Zhao, Yunxia Wang Lundberg, Yao-Zhong Liu, Christopher J. Papasian, Hong‐Wen Deng

Notice bibliographique

RevueMolecular & Cellular Proteomics · 2011
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueS100 Proteins and Annexins
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of Arthritis and Musculoskeletal and Skin DiseasesFogarty International CenterNational Institute on AgingNational Institute on Deafness and Other Communication DisordersCanadian Institutes of Health Research
Mots-clésOsteoporosisOsteoclastBone resorptionIn vivoPathogenesisOsteoprotegerinBone remodelingMonocyteBone densityBone mineralProteomicsBiologyImmunologyInternal medicineMedicineEndocrinologyIn vitroGeneGeneticsActivator (genetics)

Résumé

récupéré en direct d'OpenAlex

Low bone mineral density (BMD) is a risk factor of osteoporosis and has strong genetic determination. Genes influencing BMD and fundamental mechanisms leading to osteoporosis have yet to be fully determined. Peripheral blood monocytes (PBM) are potential osteoclast precursors, which could access to bone resorption surfaces and differentiate into osteoclasts to resorb bone. Herein, we attempted to identify osteoporosis susceptibility gene(s) and characterize their function(s), through an initial proteomics discovery study on PBM in vivo, and multiscale validation studies in vivo and in vitro. Utilizing the quantitative proteomics methodology LC-nano-ESI-MSE, we discovered that a novel protein, i.e. ANXA2, was up-regulated twofold in PBM in vivo in Caucasians with extremely low BMD (cases) versus those with extremely high BMD (controls) (n = 28, p < 0.05). ANXA2 gene up-regulation in low BMD subjects was replicated at the mRNA level in PBM in vivo in a second and independent case-control sample (n = 80, p < 0.05). At the DNA level, we found that SNPs in the ANXA2 gene were associated with BMD variation in a 3rd and independent case-control sample (n = 44, p < 0.05), as well as in a random population sample (n = 997, p < 0.05). The above integrative evidence strongly supports the concept that ANXA2 is involved in the pathogenesis of osteoporosis in humans. Through a follow-up cellular functional study, we found that ANXA2 protein significantly promoted monocyte migration across an endothelial barrier in vitro (p < 0.001). Thus, elevated ANXA2 protein expression level, as detected in low BMD subjects, probably stimulates more PBM migration through the blood vessel walls to bone resorption surfaces in vivo, where they differentiate into higher number of osteoclasts and resorb bone at higher rates, thereby decreasing BMD. In conclusion, this study identified a novel osteoporosis susceptibility gene ANXA2, and suggested a novel pathophysiological mechanism, mediated by ANXA2, for osteoporosis in humans. Low bone mineral density (BMD) is a risk factor of osteoporosis and has strong genetic determination. Genes influencing BMD and fundamental mechanisms leading to osteoporosis have yet to be fully determined. Peripheral blood monocytes (PBM) are potential osteoclast precursors, which could access to bone resorption surfaces and differentiate into osteoclasts to resorb bone. Herein, we attempted to identify osteoporosis susceptibility gene(s) and characterize their function(s), through an initial proteomics discovery study on PBM in vivo, and multiscale validation studies in vivo and in vitro. Utilizing the quantitative proteomics methodology LC-nano-ESI-MSE, we discovered that a novel protein, i.e. ANXA2, was up-regulated twofold in PBM in vivo in Caucasians with extremely low BMD (cases) versus those with extremely high BMD (controls) (n = 28, p < 0.05). ANXA2 gene up-regulation in low BMD subjects was replicated at the mRNA level in PBM in vivo in a second and independent case-control sample (n = 80, p < 0.05). At the DNA level, we found that SNPs in the ANXA2 gene were associated with BMD variation in a 3rd and independent case-control sample (n = 44, p < 0.05), as well as in a random population sample (n = 997, p < 0.05). The above integrative evidence strongly supports the concept that ANXA2 is involved in the pathogenesis of osteoporosis in humans. Through a follow-up cellular functional study, we found that ANXA2 protein significantly promoted monocyte migration across an endothelial barrier in vitro (p < 0.001). Thus, elevated ANXA2 protein expression level, as detected in low BMD subjects, probably stimulates more PBM migration through the blood vessel walls to bone resorption surfaces in vivo, where they differentiate into higher number of osteoclasts and resorb bone at higher rates, thereby decreasing BMD. In conclusion, this study identified a novel osteoporosis susceptibility gene ANXA2, and suggested a novel pathophysiological mechanism, mediated by ANXA2, for osteoporosis in humans. Osteoporosis is a worldwide public health problem that is most prevalent in the elderly, and is particularly problematic in postmenopausal women. Osteoporosis is characterized by low bone mineral density (BMD) 1The abbreviations used are: BMDbone mineral densityPBMperipheral blood monocytePBMCperipheral blood mononuclear cellsHDMShigh definition mass spectrometryRMArobust multiarray averageHUVEChuman umbilical vein endothelial cellsMCP-1monocyte chemotactic protein 1FBSfetal bovine serumPPIApeptidyl-prolyl cis-trans isomerase A. 1The abbreviations used are: BMDbone mineral densityPBMperipheral blood monocytePBMCperipheral blood mononuclear cellsHDMShigh definition mass spectrometryRMArobust multiarray averageHUVEChuman umbilical vein endothelial cellsMCP-1monocyte chemotactic protein 1FBSfetal bovine serumPPIApeptidyl-prolyl cis-trans isomerase A. and increased risk of osteoporotic fractures. Osteoporotic hip fractures have a high associated morbidity and mortality, and contribute substantially to health care expenditures (1Harvey N. Dennison E. Cooper C. Osteoporosis: impact on health and economics.Nat. Rev. Rheumatol. 2010; 6: 99-105Crossref PubMed Scopus (436) Google Scholar). The annual cost of osteoporosis and fractures in the US elderly alone was estimated at $16 billion in 2002 and $22 billion in 2008 (2Blume S.W. Curtis J.R. Medical costs of osteoporosis in the elderly Medicare population.Osteoporos. Int. 2011; 22: 1835-1844Crossref PubMed Scopus (179) Google Scholar), and this is expected to increase substantially over the following decades. bone mineral density peripheral blood monocyte peripheral blood mononuclear cells high definition mass spectrometry robust multiarray average human umbilical vein endothelial cells monocyte chemotactic protein 1 fetal bovine serum peptidyl-prolyl cis-trans isomerase A. bone mineral density peripheral blood monocyte peripheral blood mononuclear cells high definition mass spectrometry robust multiarray average human umbilical vein endothelial cells monocyte chemotactic protein 1 fetal bovine serum peptidyl-prolyl cis-trans isomerase A. BMD is a quantitative trait determined by multiple factors. Heritability of BMD is estimated to be 0.5–0.9 (3Recker R.R. Deng H.W. Role of genetics in osteoporosis.Endocrine. 2002; 17: 55-66Crossref PubMed Scopus (103) Google Scholar). Extensive genetic and genomic studies, conducted over the past decade, have identified several genes that are associated with BMD variation in humans (4Xu X.H. Dong S.S. Guo Y. Yang T.L. Lei S.F. Papasian C.J. Zhao M. Deng H.W. Molecular genetic studies of gene identification for osteoporosis: the 2009 update.Endocr. Rev. 2010; 31: 447-505Crossref PubMed Scopus (68) Google Scholar). Collectively, however, these implicated genes explain no more than 10% of BMD variation in any individual human population. So the basis for the majority of variation in BMD that is genetically determined still awaits identification. Osteoporosis results from excessive bone loss, which is largely because of increased bone resorption by osteoclasts and/or decreased bone formation by osteoblasts. Functional studies, primarily based on mouse models or in vitro cell cultures, have been widely used to establish the relevance of well-known or novel genes to osteoblastogenesis and/or osteoclastogenesis and bone phenotypes (4Xu X.H. Dong S.S. Guo Y. Yang T.L. Lei S.F. Papasian C.J. Zhao M. Deng H.W. Molecular genetic studies of gene identification for osteoporosis: the 2009 update.Endocr. Rev. 2010; 31: 447-505Crossref PubMed Scopus (68) Google Scholar, 5Galli C. Zella L.A. Fretz J.A. Fu Q. Pike J.W. Weinstein R.S. Manolagas S.C. O'Brien C.A. Targeted deletion of a distant transcriptional enhancer of the receptor activator of nuclear factor-kappaB ligand gene reduces bone remodeling and increases bone mass.Endocrinology. 2008; 149: 146-153Crossref PubMed Scopus (81) Google Scholar, 6Wan Y. Chong L.W. Evans R.M. PPAR-gamma regulates osteoclastogenesis in mice.Nat. Med. 2007; 13: 1496-1503Crossref PubMed Scopus (442) Google Scholar, 7Sjögren K. Lagerquist M. Moverare-Skrtic S. Andersson N. Windahl S.H. Swanson C. Mohan S. Poutanen M. Ohlsson C. Elevated aromatase expression in osteoblasts leads to increased bone mass without systemic adverse effects.J. Bone Miner. Res. 2009; 24: 1263-1270Crossref PubMed Scopus (38) Google Scholar, 8Nakanishi R. Akiyama H. Kimura H. Otsuki B. Shimizu M. Tsuboyama T. Nakamura T. Osteoblast-targeted expression of Sfrp4 in mice results in low bone mass.J. Bone Miner. Res. 2008; 23: 271-277Crossref PubMed Scopus (101) Google Scholar). However, biological relevance established through these approaches may not necessarily be translatable to humans. Consequently, clinical studies with feasible study designs for discovery of genes clinically significant to bone phenotypes/metabolism in vivo, followed by functional exploration and/or validation studies in vivo and in vitro, is highly desirable to identify and characterize the genes and their products for the risk of osteoporosis in humans. Bone-resorbing osteoclasts are hematopoietic in origin and are derived from cells of monocyte-macrophage lineage (9Roodman G.D. Regulation of osteoclast differentiation.Ann. N.Y. Acad. Sci. 2006; 1068: 100-109Crossref PubMed Scopus (155) Google Scholar). In the adult human peripheral skeleton such as the hip bone, the local marrow is not a significant source for generation of osteoclasts; virtually all osteoclasts functioning at these sites are primarily derived from monocytes migrating to bone via the peripheral circulation (10Parfitt A.M. Skeletal heterogeneity and the purposes of bone remodelling: implications for the understanding of osteoporosis.in: Marcus R. Zfeldman D. Kelsey J. Osteoporosis. Academic Press, San Diego2001: 433-444Crossref Google Scholar, 11Parfitt A.M. Mundy G.R. Roodman G.D. Hughes D.E. Boyce B.F. A new model for the regulation of bone resorption, with particular reference to the effects of bisphosphonates.J. Bone Miner. Res. 1996; 11: 150-159Crossref PubMed Scopus (289) Google Scholar). After migrating from peripheral blood to bone, monocytes differentiate and fuse into immature multinuclear osteoclasts, and are subsequently activated to become mature osteoclasts at sites of bone resorption (9Roodman G.D. Regulation of osteoclast differentiation.Ann. N.Y. Acad. Sci. 2006; 1068: 100-109Crossref PubMed Scopus (155) Google Scholar). It is extremely difficult to collect large numbers of osteoclasts in vivo in humans for experimentation; however, peripheral blood monocytes (PBM), which are osteoclast precursors, can be collected in large numbers with relative ease. Previous studies have identified several cytokines produced by PBM, (e.g. IL-1, IL-6, TNF-α), which are important for osteoclast differentiation, activation, and apoptosis (12Pacifici R. Estrogen, cytokines, and pathogenesis of postmenopausal osteoporosis.J. Bone Miner. Res. 1996; 11: 1043-1051Crossref PubMed Scopus (622) Google Scholar, 13Cohen-Solal M.E. Boitte F. Bernard-Poenaru O. Denne M.A. Graulet A.M. Brazier M. De Vernejoul M.C. Increased bone resorbing activity of peripheral monocyte culture supernatants in elderly women.J. Clin. Endocrinol. Metab. 1998; 83: 1687-1690Crossref PubMed Scopus (30) Google Scholar, 14Cohen-Solal M.E. Graulet A.M. Denne M.A. Gueris J. Baylink D. de Vernejoul M.C. Peripheral monocyte culture supernatants of can bone of Clin. Endocrinol. Metab. PubMed Scopus Google Scholar). In gene expression in PBM was found to be associated with in BMD C. S. Y. H. Yang F. Lei S.F. Deng H.W. of monocytes in with extremely bone mineral 2008; PubMed Scopus (38) Google Scholar, of a gene associated with BMD through the of and Bone Miner. Res. 2010; PubMed Scopus Google Scholar, Y. H. R.R. Deng H.W. A novel pathophysiological for osteoporosis suggested by an in vivo gene expression study of PubMed Scopus Google Scholar). results the of PBM as a model cell for gene in to risk of osteoporosis in humans. we that study of PBM in vivo, by in vitro functional studies, has significant potential to identify novel susceptibility genes for osteoporosis and new into the pathogenesis of osteoporosis in humans. are the of gene in biological of are by in protein expression and/or K. in and 2010; Google Scholar, C.A. of 1 as a and for Med. 2011; 17: PubMed Scopus Google Scholar, M.C. J. M. C.J. de B.F. J. E. After In Res. 2010; PubMed Scopus Google Scholar). quantitative which and at a has as a novel and methodology for discovery S. C. M. for the discovery of 1 Sci. 2010; PubMed Scopus Google Scholar). However, this has yet to be widely to bone of protein expression in human osteoclast (e.g. versus is a for genes to osteoclastogenesis in vivo in humans. Utilizing the quantitative proteomics and a of and integrative studies, the was to identify genes important to osteoporosis in vivo in and to the functional by which they contribute to the of identification of genes important to osteoporosis was based on studies at and and based on evidence from multiple independent study study was by were from all study they in the subjects were as of and that bone mass or bone were and and of bone as In subjects or bone such as were from this The of the above was to the of any and/or that bone thereby for genetic factors. 1 and used for PBM gene expression studies, we or the such as 1 of or such as systemic and such as hematopoietic and (e.g. BMD was for study subjects BMD a BMD from the and The were The of variation of was The involved study independent case-control and random population of the study are in It is to all subjects with low BMD in the case-control were as < or osteoporosis Herein, is as the number of a BMD from the average BMD of their and of the study are the hip BMD was as is as the number of a BMD from the average BMD of their and population. the subjects in low BMD were as or In the hip BMD was as is as the number of a BMD from the average BMD of their and population. the subjects in low BMD were as or in a new 1 postmenopausal from an population and of subjects with extremely high hip BMD and subjects with extremely low hip BMD is as the number of a BMD from the average BMD of their and population. from an population The sample subjects with extremely high hip BMD and subjects with extremely low hip BMD adult The sample subjects with extremely high hip BMD and subjects with extremely low hip BMD adult 1 and peripheral blood was collected from by was used as The blood were for PBM by peripheral blood mononuclear cells were from blood density with PBM were from a monocyte following the The a highly and to and cells from monocytes and of and the of PBM this was Y. H. R.R. Deng H.W. A novel pathophysiological for osteoporosis suggested by an in vivo gene expression study of PubMed Scopus Google Scholar). PBM were a San was to protein was a protein were in with by by and by were to of which was and to with and PBM were a of of by a of 2006; PubMed Scopus Google Scholar), through with was by the protein were into a and by A with and with at a of a of as 10% at at at at at at The was by The following were for for and for The was to high for mass of PBM were the were with on the and of of were and a of all and was the was derived from the of the and mass The was to be above protein protein was by the following number of and mass for mass for protein, protein, to identified at in the were as of the most were used to the as protein level was in and from were used to protein expression in PBM on PBM in the were used to the of protein expression to identify subjects with low BMD versus high BMD. was from PBM ANXA2 mRNA expression were determined Y. H. R.R. Deng H.W. A novel pathophysiological for osteoporosis suggested by an in vivo gene expression study of PubMed Scopus Google Scholar). used the B. F. and of high density level PubMed Scopus Google to the into mRNA expression the the most results and the with J. M. L.A. to of gene expression from 2006; PubMed Scopus Google Scholar). on expression by the mRNA expression was conducted subjects with low BMD versus high BMD a DNA was from peripheral blood a DNA DNA was by a DNA was and DNA in the which and of ANXA2 were The was the R. F. A. B. J. A. R. D. A. R. B. R. B. S. Y. M. C. T. C. J. M. K. H. K. J. K. C. A.M. S. J. M. A. D. S. B. C.A. on DNA 2010; PubMed Scopus Google by the human DNA DNA generation and DNA DNA and R. F. A. B. J. A. R. D. A. R. B. R. B. S. Y. M. C. T. C. J. M. K. H. K. J. K. C. A.M. S. J. M. A. D. S. B. C.A. on DNA 2010; PubMed Scopus Google Scholar). was used as a reference to identify in were conducted to are significant in subjects with low versus high BMD. A of SNPs the ANXA2 gene were and the and at the at Medical the by the S.F. H. Guo J. Yang T.L. Guo Y. Deng S. Papasian C.J. R.R. Deng H.W. study novel and genes 2009; PubMed Scopus Google Scholar). the SNPs a of with and p of The S. B. K. M.A. D. J. de a for and J. 2007; PubMed Scopus Google was used to the SNPs have significant effects on hip BMD. discovery was to p and for multiple Y. Y. the discovery a and to multiple Scholar). and potential functional of SNPs A. an and for and Res. 2006; PubMed Scopus Google Scholar). SNPs associated with hip BMD in and we their potential functional effects by the was conducted of protein sample was ANXA2 and were used for of ANXA2 San mouse was used for of Herein, as a for of the PBM protein The of ANXA2 to was used as ANXA2 protein level in PBM of the ANXA2 protein subjects with low BMD versus high BMD were conducted a a peripheral blood sample by a postmenopausal PBM were a monocyte PBM were for The cell culture was collected and at and the was collected and a ANXA2 protein in the culture was by ANXA2 and were culture with culture were used to establish and for monocyte migration The and were with the migration umbilical vein endothelial cells were endothelial cell and endothelial cell to migration were in culture and to to for human monocyte cells cells were on the cell in in the The chemotactic protein 1 is a for monocytes T. S. J. E. of a human monocyte a of cellular Acad. Sci. S. A. PubMed Scopus Google Scholar). Thus, was used as a to establish for monocyte bovine serum was to the and/or at to migration The of ANXA2 on migration was ANXA2 protein was into the or at and cells were to from the to for After cells in the were a a The of cells migrating from the to the was used to the monocyte were conducted for was conducted to ANXA2 protein has significant on monocyte as with the In the case-control study sample a of in PBM were identified and these were identified in more than PBM from high and low BMD were conducted to identify the 1 the protein expression for at low in low BMD and high BMD to the and the by the protein ANXA2 protein was found to be low BMD and high BMD subjects (p < and Herein, ANXA2 protein and were were all found to be up-regulated in low BMD subjects with high BMD subjects (p < 0.05). in up-regulation of ANXA2 in PBM in low BMD subjects was by (p < for of the ANXA2 protein identified in a random PBM with of and for and expression of ANXA2 protein in sample 1 as by and are p of the and the by ANXA2 protein expression in 1 are in expression level in low BMD subjects expression level in high BMD subjects of protein expression level p in a new of protein in subjects in the low versus high BMD as by of ANXA2 protein were on the to their on the the to ANXA2 protein and as identified by Molecular of is protein a protein with of were on a by is a of the relevance of ANXA2 gene expression in vivo to BMD variation in as by protein expression in we ANXA2 mRNA expression in an independent case-control study sample with the at the protein level, ANXA2 mRNA expression by were up-regulated in the of low BMD subjects with the of high BMD subjects (p < 0.05). In the 3rd case-control study sample a of in the ANXA2 gene were identified by these SNPs and were for with hip BMD. found that to SNPs and significant in low BMD and high BMD subjects (p < that SNPs and are potential sites of Thus, these SNPs may have potential effects on ANXA2 in ANXA2 gene in low high BMD subjects in sample subjects with low BMD were as or were used to the in bone mineral in a new In Caucasians we found that the SNPs the ANXA2 gene and by the SNPs and were associated with hip as well as BMD in of A at at and at have an average in hip BMD of and with and After for multiple of the i.e. associated with hip and BMD that of the above is a potential of Thus, this may have potential effects on ANXA2 SNPs in ANXA2 gene associated with BMD at hip and in sample The was used to the of SNPs with BMD. bone mineral is the in are with effects on hip and BMD for in are p for multiple for in are p for multiple is the in are with effects on hip and BMD in are p for multiple Y. Y. the discovery a and to multiple Scholar). in a new that ANXA2 protein was in the of human PBM cell ANXA2 protein is by human ANXA2 protein was to on monocyte in the and in the are for and ANXA2 to monocyte this the effects of ANXA2 on migration were in ANXA2 into the and promoted monocyte with the at the of increase with the a significant was not in ANXA2 into the and promoted monocyte migration (p < 0.001). of ANXA2 produced the in the migration increase with the Collectively, these that ANXA2 protein a significant in monocyte The to identify osteoporosis risk genes and characterize their a novel of and integrative quantitative proteomics methodology to in vivo PBM from and to genes that are to osteoporosis in humans. gene(s) identified were by mRNA expression for the gene(s) these were subsequently in an independent study of the ANXA2 at mRNA and protein expression in PBM in low versus high BMD subjects, strongly supports the functional relevance of ANXA2 to BMD regulation in vivo in humans. the of ANXA2 to bone we the ANXA2 and osteoporosis at the DNA In case-control and population we identified SNPs in the ANXA2 gene that are associated with hip BMD in Collectively, all this evidence supports the concept that ANXA2 is a susceptibility gene for osteoporosis in humans. monocyte into In the adult human peripheral skeleton such as the hip bone, osteoclastogenesis PBM have across endothelial surfaces from blood to bone (9Roodman G.D. Regulation of osteoclast differentiation.Ann. N.Y. Acad. Sci. 2006; 1068: 100-109Crossref PubMed Scopus (155) Google Scholar). The migration in this study, was to the endothelial barrier blood and bone, as through to sites of bone resorption on the of bone they and ANXA2 was found to be by human PBM, is important to the of ANXA2 protein in monocyte in vitro migration suggested ANXA2, in the blood of may monocyte migration to bone resorption ANXA2, at bone resorption sites in may monocyte migration from the circulation and to bone to differentiate into may to more PBM to bone. a significant for ANXA2 protein in monocyte evidence that ANXA2 on the cell of human PBM may contribute to activity of monocytes C. R. M. by human expression by PubMed Scopus Google Scholar, and by is on expression of PubMed Scopus Google Scholar). In to the of ANXA2 in monocyte evidence from in vitro studies that ANXA2 is important to osteoclast formation and bone in human marrow cultures, ANXA2 promoted osteoclast and differentiation, and increased osteoclast formation and bone resorption (9Roodman G.D. Regulation of osteoclast differentiation.Ann. N.Y. Acad. Sci. 2006; 1068: 100-109Crossref PubMed Scopus (155) Google Scholar, F. H. N. Zhao Roodman G.D. stimulates expression through Bone Miner. Res. PubMed Scopus Google Scholar, C. Y. Roodman G.D. increases osteoclast formation by the of osteoclast in human marrow Clin. PubMed Scopus Google Scholar, H. N. R. Roodman G.D. and of the receptor on human marrow 2006; PubMed Scopus Google Scholar, S. R. C. J. Roodman G.D. and identification of as an factor that increases osteoclast formation and bone PubMed Google Scholar). functional evidence from the in vivo and in vitro studies and in vitro studies, we a novel pathophysiological mechanism, by ANXA2, for osteoporosis in humans. increased expression of ANXA2 protein on probably via to PBM migration from the blood to sites of bone ANXA2 protein PBM bone resorption sites local ANXA2 Elevated ANXA2 at bone resorption sites to the sites by in an of osteoclast at the sites of bone ANXA2 monocyte differentiation, osteoclast and bone Collectively, the above to contribute to elevated in bone resorption and increased bone loss, and and the of this is the study in which ANXA2 has been identified in human PBM and implicated significant in in bone phenotypes in humans. by evidence from of genetic protein < = < = and by functional evidence from in vivo and in vitro studies, novel into the pathogenesis of osteoporosis in humans. The that expression proteomics methodology a new to identify gene(s) for The is particularly significant that genes are identified through functional that are associated with and clinical in humans. The novel and integrative study in this study, be to in humans. has potential to identify genes associated with these characterize their and the pathophysiological mechanisms the of these with

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 enseignants0,016
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 Opus0,016
Tête enseignante GPT0,211
Écart entre enseignants0,195 · 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 ».

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Citations68
Publié2011
Routes d'admission1
Résumé présentoui

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