Abstract
A better understanding of the role of mineralized tissues and their associated factors in governing whole-body metabolism should be of value toward informing clinical strategies to treat mineralized tissue and metabolic disorders, such as diabetes and obesity. This perspective provides evidence suggesting a role for the arginine-glycine-aspartic acid (RGD) region, a sequence identified in several proteins secreted by bone cells, as well as other cells, in modulating systemic metabolic activity. We focus on (a) two of the SIBLING (small integrin-binding ligand, N-linked glycoprotein) family genes/proteins, bone sialoprotein (BSP) and osteopontin (OPN), (b) insulin-like growth factor-binding protein-1 & 2 (IGFBP-1, IGFBP-2) and (c) developmental endothelial locus 1 (DEL1) and milk fat globule–EGF factor-8 (MFG-E8). In addition, for our readers to appreciate the mounting evidence that a multitude of bone secreted factors affect the activity of other tissues, we provide a brief overview of other proteins, to include fibroblast growth factor 23 (FGF23), phosphatase orphan 1 (PHOSPHO1), osteocalcin (OCN/BGLAP), tissue non-specific alkaline phosphatase (TNAP) and acidic serine aspartic-rich MEPE-associated motif (ASARM), along with known/suggested functions of these factors in influencing energy metabolism.
Introduction
Existing data provide credible evidence that proteins produced by mineralized tissues affect the activity of tissues at distant sites (1–4). However, the specific role of these proteins at distant sites has been elusive, with supportive evidence that factors secreted by skeletal tissues may modulate metabolic activity. A better understanding of the role of mineralized tissues and their associated factors in governing whole-body metabolism should be of value toward informing clinical strategies to treat mineralized tissue and metabolic disorders, such as diabetes and obesity.
This perspective provides evidence suggesting a role for the arginine-glycine-aspartic acid (RGD) region, a sequence identified in several proteins secreted by bone cells, as well as other cells, in modulating systemic metabolic activity. We focus on a) two of the SIBLING (small integrin-binding ligand, N-linked glycoprotein) family genes/proteins, bone sialoprotein (BSP) and osteopontin (OPN), (b) insulin-like growth factor-binding protein-1 & 2 (IGFBP-1, IGFBP-2) and (c) developmental endothelial locus 1 (DEL1) and milk fat globule–EGF factor-8 (MFG-E8) (Table 1 and below). In addition, for our readers to appreciate the mounting evidence that a multitude of bone secreted factors, not just those with RGD regions, affect the activity of other tissues, we provide a table (Table 2) to include the proteins, fibroblast growth factor 23 (FGF23), phosphatase orphan 1 (PHOSPHO1), osteocalcin (OCN/BGLAP), tissue non-specific alkaline phosphatase (TNAP) and acidic serine aspartic-rich MEPE-associated motif (ASARM), along with known/suggested functions of these factors, with an emphasis on their role in monitoring metabolic activity. This latter table provides a brief review with references provided for more detailed information.
Table 1
| Protein | Tisssue/cell expression | Known function | Proposed metabolic function | Integrin receptor | References |
|---|---|---|---|---|---|
| BSP | Bones and teeth (osteoblasts, cementoblasts, osteoclasts) Tumors (breast, prostate, lung cancer cells) | Promotes mineralization. Promotes cell migration and adhesion. Promotes cancer progression and bone-metastasis. | Regulates food intake and energy metabolism. | αvβ3 | Ballahcène et al. (5), Ballahcène et al. (6), Foster et al. (7), Wu et al. (8), Chen et al. (9) |
| OPN | Bones and teeth (osteoblasts, cementoblasts, osteoclasts) Kidneys (tubular epithelial cells) Adipose tissue (activated macrophages) Dendritic, lymphoid, mononuclear cells Tumors (breast, prostate, lung, colorectal cancer) Endothelial cells, Smooth muscle cells, Epithelial cells | Inhibits mineralization. Promotes osteoclastogenesis. Promotes cell migration and adhesion. Promotes cancer progression and metastasis. | Promotes adipose tissue macrophage infiltration. Affects insulin responsiveness. | αvβ3, αvβ5, αvβ1 α4β1, α8β1, α9β1 | Foster et al. (10), Nomiyama et al. (11), Kiefer et al. (12), Dai et al. (13), Zhao et al. (14) |
| IGFBP-1 | Liver, Kidney, Decidua Subcutaneous adipose tissue | Inhibits IGF action. Regulates insulin sensitivity. | Modulates insulin-sensitizing actions. | α5β1, α5β3 | Hoeflich et al. (15), Haywood et al. (16) |
| IGFBP-2 | Embryonic and fetal tissues Multiple tumors (glioma, pancreatic, ovarian, breast, prostate, lung, liver cancer) Adipose tissue | Regulates IGF function. Regulates embriogenesis. Regulates tumorigenesis. | Regulates glucose clearance. Regulates GLUT4 translocation in the muscle. Regulates blood glucose metabolism. | αvβ3, α5β1 | Hoeflich et al. (15), Li et al. (17), Reyer et al. (18), Zhang et al. (19) |
| MFG-E8 | Ubiquitous pattern of expression in different cells and tissues; first identified in mammary gland, also expressed in spleen, gut, lung and adipose tissue | Promotes efferocytosis. Promotes mucosal tissue healing. Inhibits osteoclastogenesis. Mitigates endoplasmic reticulum stress. | Promotes fatty acid uptake. | αvβ3, αvβ5 | Aziz et al. (20), Bu et al. (21), Abe et al. (22), Khalifeh-Soltani et al. (23), Ren et al. (24) |
| DEL-1 | Restricted pattern of expression, e.g., endothelial cells, MSCs, certain macrophage subsets, brain, lung, gingiva, adipose tissue; no expression in liver and spleen | Inhibits neutrophil recruitment. Inhibits osteoclastogenesis. Promotes osteogenesis. Promotes efferocytosis. Regulates Treg cell stability and function. | Might regulate metabolism in a manner similar to MFG-E8 based on similar structure and engagement of the same integrins. | αvβ3, αvβ5, αLβ2, αMβ2 | Hajishengallis & Chavakis (25), Kourtzelis et al. (26), Li et al. (27), Yuh et al. (28), Shin et al. (29) |
RGD proteins and metabolic activity.
Table 2
| Protein | Tisssue/cell expression | Known function | Proposed metabolic function | Receptor/Substrate | References |
|---|---|---|---|---|---|
| TNAP | Expressed in many tissues; Bone, Teeth, Growth plate cartilage, Liver, Bile, Kidney, Intestinal lumen, Brain, Adipose tissue | Promotes mineralization by generating Pi from PPi and other factors. Mutations in the gene (Alpl) encoding TNAP lead to hyphosphatasia (HPP), of variable severity from lethal to odontohyphosphatasia (effects limited to teeth/periodontium). | Controll metabolic syndrome (MetS) and associated with enhanced cardiovascular mortality by exacerbating vascular calcification. Modulate bone marrow mesenschymal progenitor cell differentiation toward adipocytes. Promotes purinergic signaling. Modulate inflammatory pathways. Adipocyte-TNAP plays a role in thermogenesis. | Pyrophosphate Pyridoxal 5-phosphate (PLP) Phosphoethanolamine (PEA) LRP6/GSK3beta complex Phosphocreatine OPN Lipopolysaccharides (LPS) Polynucleotides Toll-like receptor ligands and others | Goettsch et al. (3), Millán et al. (30), Briolay et al. (31), Sun et al. (32), Bessueille et al. (33), Krishnamurthy et al. (34), Graser et al. (35) |
| FGF23 | Osteocytes, Osteoblasts | FGF23, a known hormone, acts (as a complex with FGFR/α-Klotho) in the renal proximal tubules to regulate phosphate reabsorption and 1,25(OH)2D3 metabolism and in the distal tubules to modulate sodium and calcium reabsorption. | Propsed functions include suppression of osteiblast differentiation and matrix minerlaization. As stated under know functions, as a hormone it effects overall metabolic activity. | KLOTHO (a co-receptor) FGF receptor 1 (FGFR1) | Bacchetta et al. (36), Bhattacharyya et al. (37), Minisola et al. (38) |
| OCN | Osteoblasts, Cementoblasts | A marker of osteoblast differentiation. Monitors bone formation. | Regulates energy metabolism (glucose regulation and insulin signaling) via effects on adipocytes, hepatocytes and pancreatic beta cells. | LRP5 Leptin DMP1-ASARM PHEX/IR (insulin receptor) | Wei et al. (1), Confavreux et al. (2), Fulzele et al. (4), Wei et al. (39), Ferron et al. (40), Ferron et al. (41), Ducy et al. (42) |
| PHOSPHO1 | Chondrocytes, Osteoblasts, Odontoblasts, Cementoblasts | Modulates skeletal, dentin and cellular cementum mineralization. Initiates deposition of hydroxyapatite inside cell-derived membrane-limited matrix vesicles (MVs) by generating Pi from hydrolysis of MV membrane products. | Regulates insulin responsiveness and obesity (acting in an endocrine fashion). | Phosphoethanolamine Phosphocholine | Suchacki et al. (43), Zweifler et al. (44), Houston et al. (45), McKee et al. (46) |
| ASARM | Osteoblasts, Odontoblasts | Inhibits mineralization. The MEPE (matrix extracellular phosphoglycoprotein)-ASARM is a known substrates for PHEX, with data suggesting that the ASARM motif regulates expression of FGF23, a key factor in monitoring levels of phosphate in the blood. | Defective regulation of ASARM affects energy metabolism, resulting in changes in fat mass, weight, insulin sensitivity, levels of leptin, serotonin and aldosterone, sympathetic tone and vascularization. | FGF23 MEPE DMP1 OCN | Rowe et al. (47), Rowe et al. (48), Salmon et al. (49) |
Non-RGD proteins and metabolic activity.
Known factors and candidates for regulating metabolic activity
Current understanding of factors/environments influencing systemic metabolic activity
Nutrient metabolism is essential for the survival, growth, and development of all living systems. The whole-body metabolic homeostasis of higher organisms relies on precise sensing of the energy state of the body and coordinated response of multiple organs to nutritional demands and environmental changes. The central nervous system plays an important role in regulating all aspects of metabolism, including energy intake, absorption, utilization, and storage (50, 51). One-way key metabolic tissues, such as the liver, muscle, adipose tissue, pancreas, and gut, communicate with the brain and each other is via secreted factors, including protein hormones, cytokines, small molecules, metabolites, and extracellular vesicles (52–57). Dysregulation of these inter-organ communications contributes to the pathogenesis of metabolic diseases, including obesity, type 2 diabetes, dyslipidemia, fatty liver disease, and cardiovascular diseases.
Increasing evidence suggests that adipose tissues play a central role in systemic metabolism, providing storage and release of energy from white fat, expending energy to generate heat in brown and beige fat, and secreting a diverse group of bioactive mediators, collectively called “adipokines” (53, 58, 59). Adipose tissue dysfunction in genetic and high-fat diets induced obesity or in lipodystrophy causes toxic lipid accumulation in the liver, skeletal muscle, and other tissues, leading to systemic insulin resistance (60, 61). Adipose tissue inflammation and misbalance between secretion of pro- and anti-inflammatory adipokines also contribute to the pathogenesis of metabolic dysfunction in obesity (62, 63).
Many studies have shown that alterations of glucose and lipid metabolism influence bone homeostasis (64). Skeletal tissue growth and remodeling are energy consuming processes tightly coupled with the regulation of systemic energy metabolism and reproduction (65). Numerous hormones, such as estrogen, testosterone, parathyroid hormone, insulin, adipokines (e.g., leptin, resistin, adiponectin, TNFα), vitamin D, as well as neuropeptides modulate bone metabolic activity (4, 54, 64, 66–70). Recent studies have emphasized the role of the bone marrow adipose tissue, located in close proximity to skeletal lineage cells, in bone metabolism (71–74). Expansion of this depot, observed in aging, obesity, diabetes, anorexia nervosa, is often inversely associated with bone mineral density. As bone marrow adipocytes and osteoblasts share a common precursor, mesenchymal stem cells, imbalance between adipogenesis and osteogenesis may contribute to bone loss under pathological conditions. This broad overview underscores the complex interactions between tissues required to modulate metabolic activity including mineralized tissues, which are the focus of this perspective.
Known and proposed functions of the RGD region in proteins
Before moving forward with the major focus of this perspective, the potential role of the tripeptide motif, RGD, in regulating metabolic activity, a brief review of the activities known and proposed for RGD-integrin-binding mediated cell functions is provided for contextual purposes. The readers are referred to a few of many excellent reviews, and references therein: (75–77).
The interest in defining the functions of RGD peptides and associated integrins was spurred on by early studies suggesting that such molecules may serve as therapeutic targets for numerous diseases. These studies demonstrated that the RGD region of proteins via interactions with their selective cell surface integrins promotes cell migration, adhesion, and signal transduction, with changes in cell proliferation and differentiation over a life span. Further investigations have proposed roles for RGD-integrin binding to include but not limited to modulating cancer cells e.g., progression, metastasis, angiogenesis, to controlling diseases such as sepsis, fibrosis, neurological disorders, cardiovascular diseases, and viral infections, to monitoring disease progression (diagnostic/imaging tools) and controlling wound healing. At a mechanistic level, studies have shown that in addition to RGD-integrin binding mediating adhesion to extracellular matrix molecules, this interaction results in bidirectional signaling across membranes thus functioning as controllers of cellular processing (78, 79). Some interactions result in multiprotein clustering, forming focal adhesions, the sites of integrin-facilitated cell signaling. This elicits a cascade of phosphorylating events of downstream molecules, most notably focal adhesion kinase (FAK), mitogen-activated protein kinase (MAPK), phosphoinositide kinase (PI3K)/Akt, and extracellular signal regulated kinase (ERK) (76, 77). This brief synopsis, demonstrating the varied mechanistic aspects of RGD-integrin mediated cell behavior, sets the stage for the discussion below, to consider how specific proteins and linked integrins, may influence metabolic activity, both locally and at distant sites. Below we consider six RGD containing proteins and their known and proposed functions in modulating metabolic activity, summarized in Table 1 (8, 9, 14, 19).
RGD containing proteins selective to mineralized tissues proposed as modulators of local and systemic metabolic activity
OPN and BSP
In the late 1900s the role of the RGD region of proteins, specifically OPN and BSP, found in high concentrations in mineralized tissues and their associated receptors, primarily integrins, was receiving notable attention. Since these early years, there have been considerable advances in defining the function of the RGD region in proteins of mineralized tissues, as well as other tissues.
As members of the SIBLING family, OPN and BSP contain several highly conserved functional motifs, including a C-terminal RGD-integrin binding domain known to promote cell adhesion, migration, and signaling (5, 6, 80, 81). OPN and BSP, first identified in bone, were proposed to modulate mineralization, where OPN is considered to act as an inhibitor of nucleation and BSP as the crystal nucleator (10, 82–89). It is now recognized that the expression of these genes/proteins is not limited to mineralized tissues, as discussed below.
OPN: In addition to OPN's role via the RGD region in modulating cell behavior, OPN's inhibitory effect on mineralization has been ascribed to its negatively charged phosphorylated serine residues, to its modulation of osteoclasts, and to its ability to regulate pyrophosphate metabolism (90, 91). Soon after the discovery of OPN it was found to be expressed ubiquitously and to exhibit a variety of functions dependent on the specific cells/tissues/organs expressing OPN. Relevant to this perspective, OPN has been shown to have a role within bone as a regulator of bone mass (92), as well as a role in modulating systemic metabolic activity as described below.
OPN, also considered as a pro-inflammatory cytokine, has been shown to modulate immune cell responses, with an important role in advancing inflammation within many tissues including adipose, cardiovascular and renal tissues, and associated with obesity, insulin resistance and type 2 diabetes (11, 12, 93–96). In this regard Dai and co-workers provided data revealing the intricacies in defining the role of OPN as a regulator of bone metabolic activity vs. systemic metabolic activity (13). Data from their mouse studies demonstrate that OPN is secreted by adipose tissue (epididymal white adipose tissues) macrophages and selectively circulates to bone marrow, activating osteoclasts to degrade bone and modulating bone marrow-derived macrophages. In the latter case, the macrophages engulf lipid deposits released from adipocytes in the bone marrow and through a complex array of elegantly designed studies the authors showed that OPN-neutralizing antibodies ameliorated high fat diet assisted bone loss in these mice. Mouse studies focused on determining OPN's role in metabolic dysregulation in the liver found that OPN regulated cross talk between cholesterol (CHOL) and phosphatidylcholine (PC) metabolism via enhancing expression of cholesterol 7 alpha-hydroxylase (CYP7A1). This finding suggested that OPN, by disrupting PC and CHOL metabolism, may contribute to non–alcoholic fatty liver progression in nonobese patients (97). Further studies by other groups confirmed a role for OPN in modulating age-related nonalcoholic fatty liver disease (98). These studies provide evidence that OPN, regardless of where expressed, affects metabolic activity via pro-inflammatory events, and in many cases through integrin signaling pathways; however, a specific role of the RGD region in mediating these events was not discussed. In a study by Chen et al., focused on determining the factors involved in differentiation of mesenchymal precursor cells along an adipogenesis vs. osteogenesis pathway, the authors provided evidence that OPN-integrin links (via αvβ1) may be involved in this process (99). They further showed that the ratio of total fat weight to body weight was significantly higher in OPN-deficient mice at 5 weeks and 12 months vs. wild-type mice, reinforcing a role for OPN in modulating systemic metabolic activity and confirming results of other researchers related to the role of OPN in modulating obesity (100, 101).
Collectively, impressive data exist supporting a role for OPN in affecting systemic metabolic activity, although further studies are warranted to determine if the RGD region of OPN is involved.
BSP: BSP is more selective to mineralized tissues and most studies have focused on defining the mechanisms controlling BSP function in mineralized tissues. Data from studies using BSP-deficient mice reveal that BSP is a modulator of mineralization. The reader is refereed to several articles and references thereof for details on tooth/bone phenotype of BSP-deficient mice (7, 102–106). In brief, BSP-deficient mice have alteration in bone homeostasis and mineralization (hypomineralized) and defects in the region of the periodontium, to include impairments in formation of cementum and surrounding alveolar bone, resulting in a disorganized periodontal ligament (PDL) region, malocclusion and exfoliation of teeth, similar to mice and humans with alkaline phosphatase mutations (30). To define the role of the RGD domain of BSP in controlling periodontal tissues, Nagasaki et al. generated BSP-KAE knock-in (KI) mice, substituting a non-function KAE (lysine-alanine-glutamic acid) sequence for the RGD. The results emphasized the importance of the RGD region for forming and maintaining the PDL region, but not for promoting mineralization (107).
To the surprise of Nagasaki et al. the BSP-RGD non-functionalized mice exhibited increased body weight and energy intake with age (after 13 weeks postnatal) vs. wild-type mice. Accordingly, weight of epididymal fat pad and size of white and brown adipocytes were increased (108).
Brief reviews of metabolic functions of other RGD containing proteins, insulin-like growth factor-binding proteins 1 and 2 (IGFBP-1, IGFBP-2), developmental endothelial locus-1 (DEL-1) and milk fat globule–EGF factor-8 (MFG-E8) are provided below, with references to reviews for more extensive reports on their various roles.
Other RGD-containing proteins proposed to affect systemic metabolic activity
IGFBP-1, 2
Insulin-like growth factor-binding proteins 1 and 2 (IGFBP 1 and 2) are members of a highly conserved family of six IGFBPs, numbered IGFBP1 through 6 in vertebrates, that modulate the actions of insulin growth factors (IGFs) and play vital roles in regulating several cellular processes (15, 17, 109, 110). The IGFs act as both endocrine hormones and autocrine/paracrine growth factors, binding to the IGFBPs or IGF-1 receptor. While the IGFBPs share about 50% homology with each other, each has specific structural features and plays distinct roles locally and systemically. In addition to the role in modulating circulating and local levels on IGF via IGF-IGFBP binding, IGFBPs also have activities independent of IGF binding. IGFBP-1 and 2 are the smallest in size, 25kDa and 31kDa respectively, and are the only IGFBPs that have RGD sequences. Interestingly, IGFBP1 and 2 are reported to serve as markers of autoimmune diseases such as Type 1 diabetes mellitus and rheumatoid arthritis (110).
For IGFBP 1 and 2, their RGD region allows them to influence cell adhesion, migration and signaling (18, 111, 112). Data from mouse studies suggest that the RGD motifs of both IGFBP1 and 2, signaling through specific integrins to include α5β1, affect energy metabolism (111, 112). Further studies by Haywood et al., using both in vitro and in vivo models (the latter, metabolic profiling of obese mice), evaluated whether the RGD domain of IGFBP1 could affect insulin sensitivity, insulin secretion and whole-body glucose regulation (16). Their results suggest that the RGD-integrin binding domain via cell signaling enhanced insulin sensitivity and secretion and administration of RGD synthetic peptide to obese mice could improve glucose clearance and insulin sensitivity. The authors conclude that the RGD domain of IGFBP-1 may hold promise as a therapeutic approach to insulin resistance. In another study, using IGFBP-2 transgenic mice (female), Reyer et al. showed that an IGFBP-2-RGD dependent mechanism was associated with impaired glucose clearance and regulation of GLUT4 translocation in muscle (18).
DEL1 and MFG-E8
Developmental endothelial locus-1 (DEL-1) and milk fat globule–EGF factor-8 (MFG-E8) are structurally related proteins consisting of N-terminal EGF-like repeats and C-terminal discoidin I-like domains (20, 25). An RGD motif present in the second EGF-like repeat enables both proteins to interact with integrins such as αvβ3, αvβ5, although DEL-1 has also been shown to bind to non-RGD-binding integrins (αLβ2, αMβ2). DEL-1 and MFG-E8 generally behave as anti-inflammatory and pro-resolving proteins, in large part due to their capacity to promote efferocytosis (26, 113). Additionally, DEL-1 inhibits inflammation by regulating neutrophil recruitment and T regulatory cell function (27, 114). DEL-1 and MFG-E8 have been shown to promote tissue healing (21, 28) and bone homeostasis through effects on both osteoblasts and osteoclasts (22, 28, 29, 115, 116). In this regard, local administration of recombinant DEL-1 or MFG-E8 in the gingiva of non-human primates inhibits periodontal bone loss (29, 117). Despite sharing several functions, DEL-1 and MFG-E8 mediate non-redundant roles in in vivo experimental models, presumably owing to their expression in different tissues, often by different cell types, and/or their regulation by distinct transcription factors (20, 26, 113, 118). It is also possible that these “cousin” proteins may be involved in metabolic regulation. MFG-E8 was reported to enhance the uptake of fatty acids by adipocytes and this function required an intact RGD motif since the effect was mediated by MFG-E8 interaction with αvβ3 or αvβ5 integrins (23, 24). In the same study, MFG-E8-deficient mice were protected from diet-induced obesity (23). It is currently uncertain whether DEL-1 shares a similar metabolic function, although its ability to interact with RGD-binding integrins warrants relevant investigation. Interestingly in that regard, EDIL3, the gene encoding DEL-1, has been associated with susceptibility to childhood obesity (119) and is overexpressed in diet-induced obesity in mice as well as in obese humans (120).
Coupled with the above evidence providing a role for the RGD region of proteins being involved in modulating energy metabolism are studies highlighting that RGD-binding integrins may serve as therapeutic targets for controlling metabolic activity and diseases, such as diabetic retinopathy (121), sepsis (122) and inflammatory disorders (123).
Non-RGD containing proteins, associated with mineralized tissues, purported to influence systemic metabolic activity:
While this perspective highlights the RGD motif of proteins and their role in controlling metabolic activity, the fact that many genes/proteins associated with mineralized tissues have been reported to affect systemic metabolic activity provides additional support for the concept that mineralized tissues, through direct or indirect mechanisms, are important players in controlling whole-body homeostasis. Table 2 provides a brief overview of some of these factors, with additional references within these tables (31–49), for more detailed information.
Discussion/Conclusion
This perspective provides data from studies over decades clearly showing that factors secreted by mineralized tissues as well as other tissues influence bone metabolic activity and also systemic metabolic activity. Yet, there remain missing pieces of the puzzle related to the mechanistic aspects for the genes and associated proteins affecting bone/systemic metabolic activity. Featured in this perspective is the need to consider the role of RGD-associated proteins in monitoring metabolic activity locally and systemically, with more answers to be forthcoming as investigations continue along this line of research. Such studies are important to better understand whether therapeutics targeting specific proteins and/or the specific RGD region may be attractive treatments for controlling obesity and associated diseases.
Funding
KN and MS were supported by the NIAMS/NIH Intramural Program. OG was supported by the NIDDK/NIH Intramural Program. GH is supported by the NIDCR/NIH Grants DE026152 and DE028561.
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Statements
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
KN, OG, GH, and MS, contributed to this perspective from discussions on the outline of topics to be included, to working on and reviewing the text and tables, to finalizing the manuscript for peer review. All authors agree to be accountable for the content of the work. All authors contributed to the article and approved the submitted version.
Acknowledgments
The authors wish to acknowledge the numerous researchers, over many decades, for their important contributions toward advancing our understanding of the role of mineralized tissues in modulating local and systemic metabolic activity.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
bone, mineralized tissues, arginine-glycine-aspartic acid (RGD), metabolic activity, endocrinology, obesity
Citation
Nagasaki K, Gavrilova O, Hajishengallis G and Somerman MJ (2022) Does the RGD region of certain proteins affect metabolic activity?. Front. Dent. Med. 3:974862. doi: 10.3389/fdmed.2022.974862
Received
21 June 2022
Accepted
04 July 2022
Published
27 July 2022
Volume
3 - 2022
Edited by
Thanaphum Osathanon, Chulalongkorn University, Thailand
Reviewed by
Yorimasa Ogata, Nihon University, Japan
Updates
Copyright
© 2022 Nagasaki, Gavrilova, Hajishengallis and Somerman.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Martha J. Somerman martha.somerman@nih.gov
This article was submitted to Systems Integration, a section of the journal Frontiers in Dental Medicine
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