Utility of the Determination of Biomarkers of Bone Metabolism View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Barbara Obermayer-Pietsch , Verena Schwetz

ABSTRACT

Biochemical serum markers of bone metabolism are substances involved in all processes of bone activity. Systemic dispersion is the basis for their biochemical measurements. Both serum/plasma and urine measurements are widely used for clinical parameters of bone turnover, but accuracy and usability have favoured blood analyses over the years. This review will therefore focus on serum/plasma parameters of bone metabolism and their clinical applications and give hints on further applications within biological material.Targets of biochemical analysis of bone metabolism are enzymes and proteins or their respective metabolites produced during bone formation and degradation. However, direct regulators of osteoblast and/or osteoclast cell function and activity might represent additional parameters of interest, since they may very well reflect dynamic processes in bone and adjacent tissue.The usefulness of serum markers of bone metabolism has been widely recognized during the past decades, but increased significantly with the technical improvement of biochemical methods and the knowledge of new compounds in bone metabolism. Many of these markers have been established until now, but only few of them have entered daily clinical routine applications. The reason for this increasing interest is the possibility of characterization and diagnosis of metabolic bone diseases, but also the improvement of therapy decisions and therapy monitoring by biomarkers.Regarding their potential, why do these biomarkers not appear in international diagnostic and therapeutic recommendations? More... »

PAGES

113-135

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-7091-0520-7_6

DOI

http://dx.doi.org/10.1007/978-3-7091-0520-7_6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027218516


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Division of Endocrinology and Metabolism, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.11598.34", 
          "name": [
            "Division of Endocrinology and Metabolism, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Obermayer-Pietsch", 
        "givenName": "Barbara", 
        "id": "sg:person.01071524655.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071524655.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Endocrinology and Nuclear Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.11598.34", 
          "name": [
            "Division of Endocrinology and Nuclear Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schwetz", 
        "givenName": "Verena", 
        "id": "sg:person.01041066341.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041066341.16"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2012", 
    "datePublishedReg": "2012-01-01", 
    "description": "Biochemical serum markers of bone metabolism are substances involved in all processes of bone activity. Systemic dispersion is the basis for their biochemical measurements. Both serum/plasma and urine measurements are widely used for clinical parameters of bone turnover, but accuracy and usability have favoured blood analyses over the years. This review will therefore focus on serum/plasma parameters of bone metabolism and their clinical applications and give hints on further applications within biological material.Targets of biochemical analysis of bone metabolism are enzymes and proteins or their respective metabolites produced during bone formation and degradation. However, direct regulators of osteoblast and/or osteoclast cell function and activity might represent additional parameters of interest, since they may very well reflect dynamic processes in bone and adjacent tissue.The usefulness of serum markers of bone metabolism has been widely recognized during the past decades, but increased significantly with the technical improvement of biochemical methods and the knowledge of new compounds in bone metabolism. Many of these markers have been established until now, but only few of them have entered daily clinical routine applications. The reason for this increasing interest is the possibility of characterization and diagnosis of metabolic bone diseases, but also the improvement of therapy decisions and therapy monitoring by biomarkers.Regarding their potential, why do these biomarkers not appear in international diagnostic and therapeutic recommendations?", 
    "editor": [
      {
        "familyName": "Pietschmann", 
        "givenName": "Peter", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-7091-0520-7_6", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-7091-0519-1", 
        "978-3-7091-0520-7"
      ], 
      "name": "Principles of Osteoimmunology", 
      "type": "Book"
    }, 
    "keywords": [
      "serum/plasma parameters", 
      "determination of biomarkers", 
      "possibility of characterization", 
      "further application", 
      "biological materials", 
      "systemic dispersion", 
      "therapy monitoring", 
      "clinical application", 
      "applications", 
      "clinical routine application", 
      "serum/plasma", 
      "routine application", 
      "dispersion", 
      "past decade", 
      "characterization", 
      "degradation", 
      "biochemical methods", 
      "materials", 
      "biochemical analysis", 
      "technical improvements", 
      "improvement", 
      "measurements", 
      "monitoring", 
      "interest", 
      "potential", 
      "biomarkers", 
      "process", 
      "enzyme", 
      "parameters", 
      "plasma parameters", 
      "activity", 
      "method", 
      "formation", 
      "blood analysis", 
      "bone formation", 
      "osteoblasts", 
      "possibility", 
      "plasma", 
      "determination", 
      "biochemical serum markers", 
      "decades", 
      "usability", 
      "protein", 
      "analysis", 
      "dynamic process", 
      "utility", 
      "respective metabolites", 
      "tissue", 
      "accuracy", 
      "review", 
      "metabolites", 
      "target", 
      "substances", 
      "cell function", 
      "additional parameters", 
      "serum markers", 
      "compounds", 
      "markers", 
      "biochemical measurements", 
      "function", 
      "metabolism", 
      "hints", 
      "basis", 
      "reasons", 
      "diagnosis", 
      "bone disease", 
      "bone metabolism", 
      "therapy decisions", 
      "urine measurements", 
      "usefulness", 
      "knowledge", 
      "bone", 
      "adjacent tissues", 
      "metabolic bone disease", 
      "clinical parameters", 
      "years", 
      "disease", 
      "therapeutic recommendations", 
      "bone turnover", 
      "bone activity", 
      "new compounds", 
      "decisions", 
      "direct regulator", 
      "regulator", 
      "recommendations", 
      "turnover"
    ], 
    "name": "Utility of the Determination of Biomarkers of Bone Metabolism", 
    "pagination": "113-135", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027218516"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-7091-0520-7_6"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-7091-0520-7_6", 
      "https://app.dimensions.ai/details/publication/pub.1027218516"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-10-01T06:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/chapter/chapter_245.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-7091-0520-7_6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-7091-0520-7_6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-7091-0520-7_6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-7091-0520-7_6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-7091-0520-7_6'


 

This table displays all metadata directly associated to this object as RDF triples.

154 TRIPLES      22 PREDICATES      111 URIs      104 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-7091-0520-7_6 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nf8fc695cd7e640e38361050ff5c266b1
4 schema:datePublished 2012
5 schema:datePublishedReg 2012-01-01
6 schema:description Biochemical serum markers of bone metabolism are substances involved in all processes of bone activity. Systemic dispersion is the basis for their biochemical measurements. Both serum/plasma and urine measurements are widely used for clinical parameters of bone turnover, but accuracy and usability have favoured blood analyses over the years. This review will therefore focus on serum/plasma parameters of bone metabolism and their clinical applications and give hints on further applications within biological material.Targets of biochemical analysis of bone metabolism are enzymes and proteins or their respective metabolites produced during bone formation and degradation. However, direct regulators of osteoblast and/or osteoclast cell function and activity might represent additional parameters of interest, since they may very well reflect dynamic processes in bone and adjacent tissue.The usefulness of serum markers of bone metabolism has been widely recognized during the past decades, but increased significantly with the technical improvement of biochemical methods and the knowledge of new compounds in bone metabolism. Many of these markers have been established until now, but only few of them have entered daily clinical routine applications. The reason for this increasing interest is the possibility of characterization and diagnosis of metabolic bone diseases, but also the improvement of therapy decisions and therapy monitoring by biomarkers.Regarding their potential, why do these biomarkers not appear in international diagnostic and therapeutic recommendations?
7 schema:editor N8f7407bdd4934320a4015eca6e9a3ce3
8 schema:genre chapter
9 schema:isAccessibleForFree false
10 schema:isPartOf Ncf529bb50fa643d199477546704a6bdd
11 schema:keywords accuracy
12 activity
13 additional parameters
14 adjacent tissues
15 analysis
16 applications
17 basis
18 biochemical analysis
19 biochemical measurements
20 biochemical methods
21 biochemical serum markers
22 biological materials
23 biomarkers
24 blood analysis
25 bone
26 bone activity
27 bone disease
28 bone formation
29 bone metabolism
30 bone turnover
31 cell function
32 characterization
33 clinical application
34 clinical parameters
35 clinical routine application
36 compounds
37 decades
38 decisions
39 degradation
40 determination
41 determination of biomarkers
42 diagnosis
43 direct regulator
44 disease
45 dispersion
46 dynamic process
47 enzyme
48 formation
49 function
50 further application
51 hints
52 improvement
53 interest
54 knowledge
55 markers
56 materials
57 measurements
58 metabolic bone disease
59 metabolism
60 metabolites
61 method
62 monitoring
63 new compounds
64 osteoblasts
65 parameters
66 past decade
67 plasma
68 plasma parameters
69 possibility
70 possibility of characterization
71 potential
72 process
73 protein
74 reasons
75 recommendations
76 regulator
77 respective metabolites
78 review
79 routine application
80 serum markers
81 serum/plasma
82 serum/plasma parameters
83 substances
84 systemic dispersion
85 target
86 technical improvements
87 therapeutic recommendations
88 therapy decisions
89 therapy monitoring
90 tissue
91 turnover
92 urine measurements
93 usability
94 usefulness
95 utility
96 years
97 schema:name Utility of the Determination of Biomarkers of Bone Metabolism
98 schema:pagination 113-135
99 schema:productId N8c5a8e3a25a14d7bad7964088b7cd130
100 Nae2009142d984549bde445aef94ba1f3
101 schema:publisher N49a58c9ca24945efbb52de6a856a2a43
102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027218516
103 https://doi.org/10.1007/978-3-7091-0520-7_6
104 schema:sdDatePublished 2022-10-01T06:55
105 schema:sdLicense https://scigraph.springernature.com/explorer/license/
106 schema:sdPublisher Nf360e7735ed14dce81bedae27f5f0a81
107 schema:url https://doi.org/10.1007/978-3-7091-0520-7_6
108 sgo:license sg:explorer/license/
109 sgo:sdDataset chapters
110 rdf:type schema:Chapter
111 N49a58c9ca24945efbb52de6a856a2a43 schema:name Springer Nature
112 rdf:type schema:Organisation
113 N8c5a8e3a25a14d7bad7964088b7cd130 schema:name dimensions_id
114 schema:value pub.1027218516
115 rdf:type schema:PropertyValue
116 N8f7407bdd4934320a4015eca6e9a3ce3 rdf:first Na98b795e6b034a3bbdc0824f586faccf
117 rdf:rest rdf:nil
118 Na98b795e6b034a3bbdc0824f586faccf schema:familyName Pietschmann
119 schema:givenName Peter
120 rdf:type schema:Person
121 Nae2009142d984549bde445aef94ba1f3 schema:name doi
122 schema:value 10.1007/978-3-7091-0520-7_6
123 rdf:type schema:PropertyValue
124 Ncf529bb50fa643d199477546704a6bdd schema:isbn 978-3-7091-0519-1
125 978-3-7091-0520-7
126 schema:name Principles of Osteoimmunology
127 rdf:type schema:Book
128 Nd4c57915f16f413fa245fde0d784ef3a rdf:first sg:person.01041066341.16
129 rdf:rest rdf:nil
130 Nf360e7735ed14dce81bedae27f5f0a81 schema:name Springer Nature - SN SciGraph project
131 rdf:type schema:Organization
132 Nf8fc695cd7e640e38361050ff5c266b1 rdf:first sg:person.01071524655.82
133 rdf:rest Nd4c57915f16f413fa245fde0d784ef3a
134 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
135 schema:name Medical and Health Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
138 schema:name Clinical Sciences
139 rdf:type schema:DefinedTerm
140 sg:person.01041066341.16 schema:affiliation grid-institutes:grid.11598.34
141 schema:familyName Schwetz
142 schema:givenName Verena
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041066341.16
144 rdf:type schema:Person
145 sg:person.01071524655.82 schema:affiliation grid-institutes:grid.11598.34
146 schema:familyName Obermayer-Pietsch
147 schema:givenName Barbara
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071524655.82
149 rdf:type schema:Person
150 grid-institutes:grid.11598.34 schema:alternateName Division of Endocrinology and Metabolism, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
151 Division of Endocrinology and Nuclear Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
152 schema:name Division of Endocrinology and Metabolism, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
153 Division of Endocrinology and Nuclear Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
154 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...