Table of Contents Author Guidelines Submit a Manuscript
Journal of Osteoporosis
Volume 2018, Article ID 8726456, 7 pages
Review Article

“Omics” Signatures in Peripheral Monocytes from Women with Low BMD Condition

Division of Molecular Immunodiagnostics, National Institute for Research in Reproductive Health, ICMR, J. M. Street, Parel, Mumbai 400012, India

Correspondence should be addressed to M. Ikram Khatkhatay; ni.ser.hrrin@iyatahktahk

Received 18 November 2017; Accepted 12 February 2018; Published 18 March 2018

Academic Editor: Merry Jo Oursler

Copyright © 2018 Bhavna Daswani and M. Ikram Khatkhatay. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Postmenopausal osteoporosis (PMO) is a result of increased bone resorption compared to formation. Osteoclasts are responsible for bone resorption, which are derived from circulating monocytes that undertake a journey from the blood to the bone for the process of osteoclastogenesis. In recent times, the use of high throughput technologies to explore monocytes from women with low versus high bone density has led to the identification of candidate molecules that may be deregulated in PMO. This review provides a list of molecules in monocytes relevant to bone density which have been identified by “omics” studies in the last decade or so. The molecules in monocytes that are deregulated in low BMD condition may contribute to processes such as monocyte survival, migration/chemotaxis, adhesion, transendothelial migration, and differentiation into the osteoclast lineage. Each of these processes may be crucial to the overall route of osteoclastogenesis and an increase in any/all of these processes can lead to increased bone resorption and subsequently low bone density. Whether these molecules are indeed the cause or effect is an arena currently unexplored.

1. Introduction

Postmenopausal osteoporosis (PMO) is characterized by low bone mineral density (BMD) and microarchitectural deterioration of bone tissue, wherein the genesis and activity of osteoclasts (bone resorbing cells) supersede those of osteoblasts (bone forming cells); thus, bone resorption exceeds bone formation [1, 2]. The outcome of PMO is increased susceptibility to fragility fractures which can lead to substantial morbidity and mortality. Even though the primary underlying cause is increased bone resorption compared to formation, the pathological mechanism of PMO is complex and multifaceted, involving many factors such as genetics, levels of sex hormones and cytokines, lifestyle, and environmental factors. Of late, the role of immune cells and their complex interplay in bone biology have also been recognized, which has led to the advent of the term “osteoimmunology” [3]. Amongst these immune cells, monocytes have gained considerable importance, not only because they secrete important cytokines that modulate bone remodeling, but also because they are precursors of osteoclasts and they travel from the blood towards the bone to differentiate into osteoclasts. Thus, monocytes can provide insights into the initial stages of osteoclastogenesis. In addition, monocytes’ easy accessibility (in circulation) compared to osteoclasts (that reside deep within bone cavities) has encouraged researchers to utilize the former to unravel the complex etiology of PMO. In fact, a recent study proposed the utilization of monocytes for screening and monitoring of PMO [4].

Further, it has been shown that the number of monocytes is not significantly different between osteoporotic and nonosteoporotic women; however, the ex vivo osteoclastogenic potential is significantly higher in monocytes derived from osteoporotic women [5]. Also, monocytes derived from postmenopausal women have higher osteoclastogenic potential than those derived from premenopausal women [6]. Since osteoporosis is known to have a strong genetic component, intrinsic differences in monocyte gene expression patterns can contribute to extrinsic phenotypes. Therefore, in the last decade or so, researchers have studied monocytes from women with low versus high BMD using comparative “omics” methods, and this has resulted in a large surge of candidate molecules that may be implicated in the pathophysiology of PMO. The usefulness of monocytes in overall bone research has been reviewed previously [7]. The present review addresses all the studies on monocyte “omics” in relation to BMD while also providing the outcome of these studies in the form of a list of candidate molecules.

2. Monocyte’s Journey from Blood to Bone to Become Osteoclasts

Monocytes circulate in the blood for 1 to 3 days, during which they enter various tissues and can differentiate into osteoclasts or resident macrophages (like splenic macrophages, kupffer cells in the liver, and alveolar macrophages in the lungs), depending upon the tissue microenvironment. Apart from M-CSF (macrophage colony stimulating factor) which provides survival signals, commitment to the osteoclast lineage also requires the presence of RANKL (receptor activator of NFkB ligand), a crucial osteoclast differentiation factor [8]. Although it was known that osteoclasts have a hematopoietic origin, it was only in the last few decades that compelling evidence was provided for the fact that circulating monocytes are precursors of osteoclasts. In 1981, it was shown that when radiolabeled monocytes were injected into syngenic mice, the femurs of recipient mice showed labeled osteoclasts [9]. Several studies in the following years showed that osteoclast precursors lie in the monocyte fraction and these precursors show characteristic features of monocytes (CD14 positive cells) [8, 1013]. It also became clear that monocytes express RANK and c-fms (CD115), and the presence of their ligands RANKL and M-CSF, respectively, was necessary and sufficient for osteoclastogenesis to occur [8, 14, 15]. In a recent study in mice, fluorescence-based methods were used in vivo to confirm that osteoclasts can be generated from circulating monocytes. and the authors suggested that this detour of monocytes from bone marrow to blood to bone is possibly because bone resorption does not occur homogeneously in all bone tissues [16]. Further, monocytes are known to have two subsets, CD16 positive and CD16 negative, the latter being classical monocytes constituting around 90 to 95% of total monocytes. Notably, it was also found that osteoclasts originate from the CD16 negative subset of monocytes and this has been experimentally proven [1719], despite certain arthritic conditions which may be exceptions to this rule.

The journey of a peripheral monocyte to osteoclast involves three early stages: chemotaxis towards the site for osteoclast formation, adhesion to the endothelial cells near the bone, and finally transendothelial migration into the bone milieu. In this context, soluble RANKL can stimulate chemotaxis of human monocytes via its receptor RANK [20, 21]. This explains the migration of monocytes towards the bone microenvironment wherein soluble RANKL is present in high amounts. Also, under the influence of RANKL or parathyroid hormone, osteoblasts secrete MCP-1 (monocyte chemoattractant protein-1), a potent monocyte recruitment factor that attracts monocytes via C-C chemokine receptor type 2 (CCR2) [22, 23]. Also, chemokine (C-X-C motif) receptor 4 (CXCR4) on monocytes responds to stromal cell-derived factor-1 (SDF-1) secreted by bone vascular endothelial and marrow stromal cells [24, 25], and CX3CR1 on monocytes responds to CX3CL1 secreted by osteoblasts [26]. One of the most important breakthroughs in this field was the discovery of the role of sphingosine-1 phosphate (S1P) which acts via its receptors S1PR1 and S1PR2 present on monocytes, as a vital regulator of monocyte bone homing in mice. The investigators showed that S1PR1 promotes chemotactic movements into blood circulation (where S1P is high), whereas S1PR2 has chemorepulsive properties and promotes movement into the bone microenvironment [27, 28]. These findings have also shed new light on the bone protective effect of vitamin D3 in vivo as they found that vitamin D3 controls monocyte migration towards the bone microenvironment by reducing the expression of S1PR2 both in vitro and in vivo [2729]. Taken together, monocyte migration to the bone milieu is crucial to osteoclastogenesis and is regulated by many molecules which probably work in concert; hence, deciphering the entire molecular repertoire is still the subject of current research. Most of the above-mentioned studies are in mice; fortunately, the “omics” era opened a window of opportunity to simultaneously explore a plethora of molecules in monocytes between low and high bone density conditions. Accordingly, many studies have explored monocyte gene expression in relation to BMD using RNA and protein profiling methods described in the next sections. In addition, few studies have used data from these “omics” studies and applied bioinformatic tools to identify relevant molecular pathways and networks pertinent to PMO. A list of differentially expressed molecules in monocytes in low versus high BMD found using “omics” methods along with experimental validation is provided in Table 1.

Table 1: List of differentially expressed biomolecules in low versus high bone mineral density (BMD) condition identified using “omics” methods and validated by “qRT-PCR” or using “antibodies.”

3. Monocyte mRNA Profiling in Low versus High BMD Condition

More than a decade ago, Deng and colleagues carried out an elegant study to explore monocyte transcriptome in relation to osteoporosis. They applied the microarray technique to explore monocyte mRNA derived from premenopausal and postmenopausal Caucasian women with low versus high BMD condition [30]. They found that chemokine receptor 3 (CCR3), glucocorticoid receptor (GCR), and histidine decarboxylase (HDC) were upregulated in low BMD condition which was confirmed by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) [30]. These genes were related to monocyte chemotaxis, sensitivity to glucocorticoids (steroids used for treatment of secondary osteoporosis), and histamine production, respectively [30]. Another study was published on the same lines which involved premenopausal Chinese women and three genes were upregulated in low BMD condition, namely, signal transducer and activator of transcription 1 (STAT1), guanylate binding protein 1 (GBP1), and C-X-C motif chemokine 10 (CXCL10) [31]. The first two were confirmed by qRT-PCR and these genes were mainly associated with interferon signaling required for monocyte-to-osteoclast differentiation [31]. Subsequently, a study was conducted on monocyte gene expression profile of 168 genes which were relevant to BMD in both Chinese and Caucasian women. Of the 168 genes, 13 were found to be differentially expressed which were related to interferon signaling, of which STAT1 was significantly upregulated in low BMD condition [32]. This encouraged research examining single nucleotide polymorphisms (SNPs) of STAT1 gene in association with BMD, and the same authors found that two SNPs (rs2030171 and rs10199181) showed significant association with BMD in Caucasians [32]. In the following year, a bootstrap-based regression method was applied to identify altered gene expression in monocytes using previous microarray data wherein genes were segregated as BMD related and menopause related [33]. They found that the former category included genes related to cellular protein metabolism and the latter were upstream or downstream targets of estrogen receptors [33]. Subsequently, pathway analyses using graph clustering method were used to group differentially expressed genes from monocyte Affymetrix microarray datasets available online and two gene clusters were found to be enriched, namely, immune system and stimulus response [34]. Further, a recent study published in 2015 showed that apoptosis related genes were downregulated in monocytes in low BMD condition [35]. The investigators confirmed the differential expression of apoptosis induction gene, polo-like kinase 3 (PLK3), by qRT-PCR [35]. In addition, they performed a meta-analysis across 4 microarray datasets from their previous studies (including premenopausal and postmenopausal Caucasian and premenopausal Chinese females) and found genes related to induction of apoptosis, the majority of which were downregulated in low BMD condition. Of these genes, PLK3 and death domain-associated protein 6 (DAXX) were replicated across all four datasets [35]. Since circulating monocytes have two fates, either apoptosis or differentiation, they suggested that decreasing apoptosis is a mechanism for increasing monocyte survival and thus migration and differentiation into osteoclasts [35].

4. Monocyte Protein Profiling in Low versus High BMD Condition

Comparative proteomics of monocytes in relation to BMD was first reported in 2008 from premenopausal Chinese women with low versus high BMD condition, wherein two-dimensional electrophoresis was employed and 5 proteins were differentially abundant including Ras suppressor protein 1 (RSU1), gelsolin (GSN), and manganese containing superoxide dismutase (SOD2) which were upregulated, while glutathione peroxidase 1 (GPX1) and prolyl 4-hydroxylase b subunit (P4HB) were downregulated in low BMD condition [36]. The differential abundance was confirmed using western blot and these proteins were related to oxidative stress (SOD2 and GPX1), cell migration (GSN), adhesion (RSU1), and apoptosis regulation (P4HB) [36]. On the basis of these findings, SNPs in the SOD2 gene and its mRNA levels in monocytes from premenopausal Chinese women were later studied [37]. Three SNPs (rs7754103, rs7754295, and rs2053949) were significantly associated with BMD as well as with its mRNA levels [37]. In the following studies, label-free liquid chromatography-mass spectrometry (LC-MS/MS) was employed to compare monocyte proteins from women with low versus high BMD. Initially, in postmenopausal Caucasian women, Annexin A2 (ANXA2) was found to be upregulated in low BMD condition and this was validated at mRNA and protein levels in separate cohorts [38]. Also, SNP analysis of ANXA2 gene in unrelated adult Caucasians showed that three SNPs (rs7163836, rs11633619, and rs11633657) were significantly associated with BMD [38]. Moreover, recombinant Annexin A2 protein showed an increase in transendothelial migration of monocytes in vitro, besides its known function in osteoclast formation [38]. In a similar study, in premenopausal Caucasian women, using label-free LC-MS/MS, gelsolin (GSN) was downregulated in low BMD condition which was confirmed at mRNA and protein levels in two separate cohorts of Caucasian women [39]. This was then extended to SNP analysis of GSN gene which revealed that one SNP (rs767770) was associated with BMD in Caucasian females but not in Chinese females or males of either of the two ethnicities [39]. Recently, network based analyses were employed to analyze the proteomic data of monocytes from postmenopausal Caucasian women, generated by label-free LC-MS/MS [40]. In this study, it was found that peptidylprolyl isomerase A (PPIA), similar to peptidylprolyl isomerase A isoform 1 (LOC654188), transgelin 2 (TAGLN2), and isoform long of 14-3-3 protein beta/alpha (YWHAB) were downregulated, and lamin B1 (LMNB1), Annexin A2 (ANXA2), and Annexin A2-like protein (ANXA2P2) were upregulated in low versus high BMD subjects [40]. Of these, ANXA2 has shown increased monocyte transendothelial migration, whereas TAGLN2 is involved in angiogenesis, a process important for bone remodeling, and the rest of the proteins had unknown functions in relation to osteoporosis [40]. On performing Gene Set Enrichment Analysis (GSEA), it was found that platelet activation and growth as well as hemostasis were the most significantly enriched gene sets in low BMD condition, while Weighted Gene Coexpression Network Analysis (WGCNA) revealed that Annexin family genes including ANXA1, ANXA2, ANXA5, and ANXA6 were upregulated in low BMD condition [40]. Further, on overlapping the results from WGCNA and DAVID, it was observed that three Gene Ontology terms were significantly enriched, namely, lipid binding, phospholipid binding, and calcium dependent phospholipid binding [40]. These investigators also analyzed protein-protein interactions using STRING software wherein network associations for Annexin and ubiquitin protein families were predicted [40]. Another recent study on monocyte proteins in relation to BMD in premenopausal Caucasians showed that 30 proteins were differentially expressed, of which ITGA2B, GSN, and RHOA were differentially regulated in the low versus high BMD groups [41]. Network analyses using STRING revealed the enrichment of two pathways: regulation of actin cytoskeleton and leukocyte transendothelial migration [41].

In our study, we used iTRAQ based quantitative proteomics approach to study monocytes from premenopausal and postmenopausal Indian women with low versus high BMD, all in a single experimental platform using 4-plex iTRAQ coupled to nano-LC-MS/MS [42]. We found that heat shock protein 27, also known as heat shock protein beta-1 (HSPB1), was distinctly upregulated in low BMD condition in both premenopausal and postmenopausal categories [42]. Validation revealed that total HSP27 (tHSP27) and phosphorylated HSP27 (pHSP27) were elevated in low BMD condition in both categories not only in monocytes but also in sera [42, 43]. Interestingly, pHSP27 exhibited a higher odds ratio than tHSP27 to predict low BMD, irrespective of menopausal status [43]. Performance characteristics exhibited by pHSP27 and collagen type 1 cross-linked C-telopeptide (CTX-1) were comparable; however, pHSP27 showed lower sensitivity than CTX-1 and lower or comparable specificity than CTX-1 [43]. Besides its well-known antiapoptotic properties, phosphorylated HSP27 increased monocyte migration towards both MCP-1 and RANKL [42]. Further, exogenous phosphorylated HSP27 increased monocyte adhesion onto endothelial cells and monocyte transendothelial migration (unpublished data).

5. Monocyte MicroRNA Profiling in Low versus High BMD Condition

MicroRNAs or miRNAs (small noncoding RNAs which are 19–25 nucleotides in length) have emerged as potential biomarkers as they regulate gene expression usually by modulating mRNA stability or translation into protein. Recently, two studies have been reported on miRNA profiling in monocytes in relation to BMD in postmenopausal Caucasian women [44, 45]. In these studies, upregulation of miR-133a [44] and miR-422a [45] was observed in low BMD condition, both of which were confirmed by qRT-PCR. These miRNAs showed negative correlation with the mRNA levels of their target genes, albeit not significant [44, 45]. The elevated levels of miR-133a were also confirmed in serum samples, though in a separate study in postmenopausal Chinese women [45].

6. Conclusions and Future Perspectives

Based on “omics” data which has been experimentally validated, molecules in circulating monocytes that are relevant to BMD may be categorized into processes such as apoptosis/survival (PLK3 and HSPB1), migration/chemotaxis (CXCL3, GSN, and HSPB1), adhesion (RSU1, HSPB1), transendothelial migration (ANXA2, HSPB1), differentiation into osteoclasts (STAT1, GBP1, ANXA2, and GSN), and other miscellaneous processes such as histamine biosynthesis (HDC), glucocorticoid sensitivity (GCR), regulation of oxidative stress (SOD2, GPX1), and protein folding (P4HB) and multifunctional molecules, miR-133a and miR422a (complete list of molecules identified and validated in Table 1). Of these, HSPB1 and miR133a have also been found to be elevated in serum levels, pointing towards their importance. However, there are ethnic discrepancies in the differential expression of the molecules involved. So far, only Chinese, Caucasian, and Indian ethnic groups have been explored for altered monocyte gene expression patterns related to BMD. In addition, menopausal status is a key factor which differentiates the underlying pathophysiology of low BMD in premenopausal versus postmenopausal women. A broad understanding of early stages of osteoclastogenesis may be achieved through a meta-analysis of monocyte proteome patterns in low versus high BMD conditions in various ethnicities worldwide. Such studies will not only build our knowledge on the initial stages of osteoclastogenesis including monocyte lineage commitment towards osteoclast but also open up avenues for new additional biomarkers and/or drug targets to improve patient management for PMO.

Conflicts of Interest

The authors report no conflicts of interest.


The authors would like to thank Dr. S. D. Mahale, Director, National Institute for Research in Reproductive Health (ICMR), for her kind support. The authors would also like to acknowledge the financial support from the Indian Council of Medical Research (ICMR) and Board of Research in Nuclear Sciences-Department of Atomic Energy (BRNS-DAE).


  1. L. G. Raisz, “Physiology and pathophysiology of bone remodeling,” Clinical Chemistry, vol. 45, no. 8, pp. 1353–1358, 1999. View at Google Scholar · View at Scopus
  2. G. A. Rodan, L. G. Raisz, and J. P. Bilezikian, Pathophysiology of Osteoporosis, J. P. Bilezikian, L. G. Raisz, and G. A. Rodan, Eds., Principles of Bone Biology, Academic Press, USA, 2nd edition, 2000.
  3. H. Takayanagi, “Osteoimmunology: shared mechanisms and crosstalk between the immune and bone systems,” Nature Reviews Immunology, vol. 7, no. 4, pp. 292–304, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. F. Salamanna, M. Maglio, G. Giavaresi, S. Pagani, R. Giardino, and M. Fini, “In vitro method for the screening and monitoring of estrogen-deficiency osteoporosis by targeting peripheral circulating monocytes,” Age (Dordrecht Netherlands), vol. 37, p. 9819, 2015. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Jevon, T. Hirayama, M. A. Brown et al., “Osteoclast formation from circulating precursors in osteoporosis,” Scandinavian Journal of Rheumatology, vol. 32, no. 2, pp. 95–100, 2003. View at Publisher · View at Google Scholar · View at Scopus
  6. M. E. Cohen-Solal, A. M. Graulet, M. A. Denne, J. Gueris, D. Baylink, and M. C. De Vernejoul, “Peripheral monocyte culture supernatants of menopausal women can induce bone resorption: Involvement of cytokines,” The Journal of Clinical Endocrinology & Metabolism, vol. 77, no. 6, pp. 1648–1653, 1993. View at Publisher · View at Google Scholar · View at Scopus
  7. Y. Zhou, H.-W. Deng, and H. Shen, “Circulating monocytes: an appropriate model for bone-related study,” Osteoporosis International, vol. 26, no. 11, pp. 2561–2572, 2015. View at Publisher · View at Google Scholar · View at Scopus
  8. G. C. Nicholson, M. Malakellis, F. M. Collier et al., “Induction of osteoclasts from CD14-positive human peripheral blood mononuclear cells by receptor activator of nuclear factor κB ligand (RANKL),” Clinical Science, vol. 99, no. 2, pp. 133–140, 2000. View at Publisher · View at Google Scholar · View at Scopus
  9. S. M. B. Tinkler, J. E. Linder, D. M. Williams, and N. W. Johnson, “Formation of osteoclasts from monocytes during 1α-OH Vit D-stimulated bone resorption in mice,” Journal of Anatomy, vol. 133, no. 3, pp. 389–396, 1981. View at Google Scholar · View at Scopus
  10. J. M. W. Quinn, J. O. Mc Gee, and N. A. Athanasou, “Cellular and hormonal factors influencing monocyte differentiation to osteoclastic bone-resorbing cells,” Endocrinology, vol. 134, no. 6, pp. 2416–2423, 1994. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. Fujikawa, J. M. W. Quinn, A. Sabokbar, J. O. McGee, and N. A. Athanasou, “The human osteoclast precursor circulates in the monocyte fraction,” Endocrinology, vol. 137, no. 9, pp. 4058–4060, 1996. View at Publisher · View at Google Scholar · View at Scopus
  12. H. M. Massey and A. M. Flanagan, “Human osteoclasts derive from CD14-positive monocytes,” British Journal of Haematology, vol. 106, no. 1, pp. 167–170, 1999. View at Publisher · View at Google Scholar · View at Scopus
  13. V. Shalhoub, G. Elliott, L. Chiu et al., “Characterization of osteoclast precursors in human blood,” British Journal of Haematology, vol. 111, no. 2, pp. 501–512, 2000. View at Publisher · View at Google Scholar
  14. N. Nakagawa, M. Kinosaki, K. Yamaguchi et al., “RANK is the essential signaling receptor for osteoclast differentiation factor in osteoclastogenesis,” Biochemical and Biophysical Research Communications, vol. 253, no. 2, pp. 395–400, 1998. View at Publisher · View at Google Scholar · View at Scopus
  15. H. Hsu, D. L. Lacey, C. R. Dunstan et al., “Tumor necrosis factor receptor family member RANK mediates osteoclast differentiation and activation induced by osteoprotegerin ligand,” Proceedings of the National Acadamy of Sciences of the United States of America, vol. 96, no. 7, pp. 3540–3545, 1999. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Kotani, J. Kikuta, F. Klauschen et al., “Systemic circulation and bone recruitment of osteoclast precursors tracked by using fluorescent imaging techniques,” The Journal of Immunology, vol. 190, no. 2, pp. 605–612, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. Y. Komano, T. Nanki, K. Hayashida, K. Taniguchi, and M. Nobuyuki, “Identification of a human peripheral blood monocyte subset that differentiates into osteoclasts,” Arthritis Research & Therapy, vol. 8, no. 5, p. R152, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. F. I. L. Clanchy, A. C. Holloway, R. Lari, P. U. Cameron, and J. A. Hamilton, “Detection and properties of the human proliferative monocyte subpopulation,” The Journal of Leukocyte Biology, vol. 79, 757, no. 4, p. 766, 2006. View at Publisher · View at Google Scholar · View at Scopus
  19. R. Lari, P. D. Kitchener, and J. A. Hamilton, “The proliferative human monocyte subpopulation contains osteoclast precursors,” Arthritis Research & Therapy, vol. 11, no. 1, article no. R23, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. V. Breuil, H. Schmid-Antomarchi, A. Schmid-Alliana, R. Rezzonico, L. Euller-Ziegler, and B. Rossi, “The receptor activator of nuclear factor (NF)-kappaB ligand (RANKL) is a new chemotactic factor for human monocytes,” The FASEB Journal, vol. 17, no. 12, pp. 1751–1753, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. B. A. Mosheimer, N. C. Kaneider, C. Feistritzer, D. H. Sturn, and C. J. Wiedermann, “Expression and function of RANK in human monocyte chemotaxis,” Arthritis & Rheumatism, vol. 50, no. 7, pp. 2309–2316, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. M. S. Kim, C. J. Day, and N. A. Morrison, “MCP-1 is induced by receptor activator of nuclear factor-κB ligand, promotes human osteoclast fusion, and rescues granulocyte macrophage colony-stimulating factor suppression of osteoclast formation,” The Journal of Biological Chemistry, vol. 280, no. 16, pp. 16163–16169, 2005. View at Publisher · View at Google Scholar · View at Scopus
  23. X. Li, L. Qin, M. Bergenstock, L. M. Bevelock, D. V. Novack, and N. C. Partridge, “Parathyroid hormone stimulates osteoblastic expression of MCP-1 to recruit and increase the fusion of pre/osteoclasts,” The Journal of Biological Chemistry, vol. 282, no. 45, pp. 33098–33106, 2007. View at Publisher · View at Google Scholar · View at Scopus
  24. X. Yu, Y. Huang, P. Collin-Osdoby, and P. Osdoby, “Stromal cell-derived factor-1 (SDF-1) recruits osteoclast precursors by inducing chemotaxis, matrix metalloproteinase-9 (MMP-9) activity, and collagen transmigration,” Journal of Bone and Mineral Research, vol. 18, no. 8, pp. 1404–1418, 2003. View at Publisher · View at Google Scholar · View at Scopus
  25. L. M. Wright, W. Maloney, X. Yu, L. Kindle, P. Collin-Osdoby, and P. Osdoby, “Stromal cell-derived factor-1 binding to its chemokine receptor CXCR4 on precursor cells promotes the chemotactic recruitment, development and survival of human osteoclasts,” Bone, vol. 36, no. 5, pp. 840–853, 2005. View at Publisher · View at Google Scholar · View at Scopus
  26. K. Koizumi, Y. Saitoh, T. Minami et al., “Role of CX3CL1/fractalkine in osteoclast differentiation and bone resorption,” The Journal of Immunology, vol. 183, no. 12, pp. 7825–7831, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. M. Ishii, J. G. Egen, F. Klauschen et al., “Sphingosine-1-phosphate mobilizes osteoclast precursors and regulates bone homeostasis,” Nature, vol. 458, no. 7237, pp. 524–528, 2009. View at Publisher · View at Google Scholar · View at Scopus
  28. M. Ishii, J. Kikuta, Y. Shimazu, M. Meier-Schellersheim, and R. N. Germain, “Chemorepulsion by blood S1P regulates osteoclast precursor mobilization and bone remodeling in vivo,” The Journal of Experimental Medicine, vol. 207, no. 13, pp. 2793–2798, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. J. Kikuta and M. Ishii, “Osteoclast migration, differentiation and function: Novel therapeutic targets for rheumatic diseases,” Rheumatology, vol. 52, no. 2, pp. 226–234, 2013. View at Publisher · View at Google Scholar · View at Scopus
  30. Y. Z. Liu, V. Dvornyk, Y. Lu et al., “A novel pathophysiological mechanism for osteoporosis suggested by an in vivo gene expression study of circulating monocytes,” The Journal of Biological Chemistry, vol. 280, no. 32, pp. 29011–29016, 2005. View at Publisher · View at Google Scholar · View at Scopus
  31. S. F. Lei, S. Wu, L.-M. Li et al., “An in vivo genome wide gene expression study of circulating monocytes suggested GBP1, STAT1 and CXCL10 as novel risk genes for the differentiation of peak bone mass,” Bone, vol. 44, no. 5, pp. 1010–1014, 2009. View at Publisher · View at Google Scholar · View at Scopus
  32. X. D. Chen, P. Xiao, S.-F. Lei et al., “Gene expression profiling in monocytes and SNP association suggest the importance of the gene for osteoporosis in both Chinese and Caucasians,” Journal of Bone and Mineral Research, vol. 25, no. 2, pp. 339–355, 2010. View at Publisher · View at Google Scholar · View at Scopus
  33. Y. Lu, Y.-Z. Liu, P.-Y. Liu, V. Dvornyk, and H.-W. Deng, “A bootstrap-based regression method for comprehensive discovery of differential gene expressions: An application to the osteoporosis study,” European Journal of Medical Genetics, vol. 54, no. 6, pp. e560–e564, 2011. View at Publisher · View at Google Scholar · View at Scopus
  34. H. Xiao, L. Shan, H. Zhu, and F. Xue, “Detection of significant pathways in osteoporosis based on graph clustering,” Molecular Medicine Reports, vol. 6, no. 6, pp. 1325–1332, 2012. View at Publisher · View at Google Scholar · View at Scopus
  35. Y. Z. Liu, Y. Zhou, L. Zhang et al., “Attenuated monocyte apoptosis, a new mechanism for osteoporosis suggested by a transcriptome-wide expression study of monocytes,” PLoS ONE, vol. 10, no. 2, Article ID e0116792, 2015. View at Publisher · View at Google Scholar · View at Scopus
  36. F. Y. Deng, Y.-Z. Liu, L.-M. Li et al., “Proteomic analysis of circulating monocytes in Chinese premenopausal females with extremely discordant bone mineral density,” Proteomics, vol. 8, no. 20, pp. 4259–4272, 2008. View at Publisher · View at Google Scholar · View at Scopus
  37. F. Y. Deng, S. F. Lei, X. D. Chen, L. J. Tan, X. Z. Zhu, and H. W. Deng, “An integrative study ascertained SOD2 as a susceptibility gene for osteoporosis in Chinese,” Journal of Bone & Mineral Research, vol. 26, no. 11, pp. 2695–2701, 2011. View at Google Scholar
  38. F. Y. Deng, S. F. Lei, Y. Zhang, Y. L. Zhang, and Y. P. Zheng, “Peripheral blood monocyte-expressed ANXA2 gene is involved in pathogenesis of osteoporosis in humans,” Molecular & Cellular Proteomics, vol. 10, no. 11, 2011. View at Google Scholar
  39. F.-Y. Deng, W. Zhu, Y. Zeng et al., “Is GSN significant for hip BMD in female Caucasians?” Bone, vol. 63, pp. 69–75, 2014. View at Publisher · View at Google Scholar · View at Scopus
  40. L. Zhang, Y.-Z. Liu, Y. Zeng et al., “Network-based proteomic analysis for postmenopausal osteoporosis in Caucasian females,” Proteomics, vol. 16, no. 1, pp. 12–28, 2016. View at Publisher · View at Google Scholar · View at Scopus
  41. Y. Zeng, L. Zhang, W. Zhu et al., “Quantitative proteomics and integrative network analysis identified novel genes and pathways related to osteoporosis,” Journal of Proteomics, vol. 142, pp. 45–52, 2016. View at Publisher · View at Google Scholar
  42. B. Daswani, M. K. Gupta, S. Gavali et al., “Monocyte Proteomics Reveals Involvement of Phosphorylated HSP27 in the Pathogenesis of Osteoporosis,” Disease Markers, vol. 2015, Article ID 196589, 2015. View at Publisher · View at Google Scholar · View at Scopus
  43. B. Daswani, S. Gavali, M. Desai, A. Patil, and M. Ikram Khatkhatay, “Serum levels of phosphorylated heat shock protein 27 (pHSP27) are associated with bone mineral density in pre- & postmenopausal women: A pilot study,” Indian Journal of Medical Research, vol. 143, no. MARCH, pp. 288–296, 2016. View at Publisher · View at Google Scholar · View at Scopus
  44. Y. Wang, L. Li, B. T. Moore et al., “Mir-133a in human circulating monocytes: a potential biomarker associated with postmenopausal osteoporosis,” PLoS ONE, vol. 7, no. 4, Article ID e34641, 2012. View at Publisher · View at Google Scholar · View at Scopus
  45. Z. Cao, B. T. Moore, Y. Wang et al., “MiR-422a as a potential cellular microRNA biomarker for postmenopausal osteoporosis,” PLoS ONE, vol. 9, no. 5, Article ID e97098, 2014. View at Publisher · View at Google Scholar · View at Scopus