| Literature DB >> 32143494 |
Francesca Salamanna1, Melania Maglio1, Maria Sartori1, Matilde Tschon1, Milena Fini1.
Abstract
Background: With the increase in aging population, the rising prevalence of osteoporosis (OP) has become an important medical issue. Accumulating evidence showed a close relationship between OP and hematopoiesis and emerging proofs revealed that platelets (PLTs), unique blood elements, rich in growth factors (GFs), play a critical role in bone remodeling. The aim of this review was to evaluate how PLT features, size, volume, bioactive GFs released, existing GFs in PLTs and PLT derivatives change and behave during OP.Entities:
Keywords: bone; osteoporosis; platelet derivatives; platelet function
Mesh:
Substances:
Year: 2020 PMID: 32143494 PMCID: PMC7084230 DOI: 10.3390/ijms21051762
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Schematic representation of osteoporosis disease.
Figure 2Schematic overview of PLT structure (diagrammatic representation) in the equatorial plane.
Figure 3PLT concentrates preparation, types/classes, and illustration/presentation of PLT derivatives. Schematic drawing of the classical preparation protocols of PRP and PRF.
Search terms used in the PubMed, ProQuest, Scopus, Web of Science Core Collection and Cochrane Central Register of Controlled Trials.
| Database | Search Items |
|---|---|
| PubMed | ((((((“blood platelets”[MeSH Terms] OR (“blood”[All Fields] AND “platelets”[All Fields]) OR “blood platelets”[All Fields] OR “platelet”[All Fields]) OR (“blood platelets”[MeSH Terms] OR (“blood”[All Fields] AND “platelets”[All Fields]) OR “blood platelets”[All Fields] OR “platelets”[All Fields])) OR ((“blood platelets”[MeSH Terms] OR (“blood”[All Fields] AND “platelets”[All Fields]) OR “blood platelets”[All Fields] OR “platelet”[All Fields]) AND functions[All Fields])) OR ((“blood platelets”[MeSH Terms] OR (“blood”[All Fields] AND “platelets”[All Fields]) OR “blood platelets”[All Fields] OR “platelet”[All Fields]) AND (“Changes”[Journal] OR “changes”[All Fields]))) OR ((“blood platelets”[MeSH Terms] OR (“blood”[All Fields] AND “platelets”[All Fields]) OR “blood platelets”[All Fields] OR “platelet”[All Fields]) AND (“Structure”[Journal] OR “structure”[All Fields]))) OR ((“blood platelets”[MeSH Terms] OR (“blood”[All Fields] AND “platelets”[All Fields]) OR “blood platelets”[All Fields] OR “platelet”[All Fields]) AND size[All Fields])) AND ((((((((“osteoporosis, postmenopausal”[MeSH Terms] OR (“osteoporosis”[All Fields] AND “postmenopausal”[All Fields]) OR “postmenopausal osteoporosis”[All Fields] OR “osteoporosis”[All Fields] OR “osteoporosis”[MeSH Terms]) OR (“bone demineralization, pathologic”[MeSH Terms] OR (“bone”[All Fields] AND “demineralization”[All Fields] AND “pathologic”[All Fields]) OR “pathologic bone demineralization”[All Fields] OR (“bone”[All Fields] AND “demineralization”[All Fields]) OR “bone demineralization”[All Fields])) OR (“bone density”[MeSH Terms] OR (“bone”[All Fields] AND “density”[All Fields]) OR “bone density”[All Fields])) OR (“osteoporotic fractures”[MeSH Terms] OR (“osteoporotic”[All Fields] AND “fractures”[All Fields]) OR “osteoporotic fractures”[All Fields])) OR (“bone diseases, metabolic”[MeSH Terms] OR (“bone”[All Fields] AND “diseases”[All Fields] AND “metabolic”[All Fields]) OR “metabolic bone diseases”[All Fields] OR “osteopenia”[All Fields])) OR (“bone diseases, metabolic”[MeSH Terms] OR (“bone”[All Fields] AND “diseases”[All Fields] AND “metabolic”[All Fields]) OR “metabolic bone diseases”[All Fields] OR (“bone”[All Fields] AND “loss”[All Fields]) OR “bone loss”[All Fields])) OR (“bone density”[MeSH Terms] OR (“bone”[All Fields] AND “density”[All Fields]) OR “bone density”[All Fields])) OR bmd[All Fields]) AND (“2009/07/27”[PDAT]: “2019/07/27”[PDAT]) |
| ProQuest | (platelet AND (bdl(1007527) AND pd(20090727-20190727))) AND (osteoporosis AND (bdl(1007527) AND pd(20090727-20190727))) |
| Web of Science Core Collection | (TS = platelet OR TS = platelets OR TS = platelet functions OR TS = platelet changes OR TS = platelet structure OR TS = platelet size) AND (TS = osteoporosis OR TS = bone demineralization OR TS = bone density OR TS = Osteoporotic Fractures OR TS = osteopenia OR TS = bone loss OR TS = bone density OR TS = bmd)—with Publication Year from 2009 to 2019 |
| Scopus | (TITLE-ABS-KEY (platelet) OR TITLE-ABS-KEY (platelets) OR TITLE-ABS-KEY (platelet AND functions) OR TITLE-ABS-KEY (platelet AND changes) OR TITLE-ABS-KEY (platelet AND structure) OR TITLE-ABS-KEY (platelet AND size) AND TITLE-ABS-KEY (osteoporosis) OR TITLE-ABS-KEY (bone AND demineralization) AND TITLE-ABS-KEY (bone AND density) OR TITLE-ABS-KEY (osteoporotic AND fractures) OR TITLE-ABS-KEY (osteopenia) OR TITLE-ABS-KEY (bone AND loss) OR TITLE-ABS-KEY (bone AND density) OR TITLE-ABS-KEY (bmd) OR TITLE-ABS-KEY (bone AND mass)) AND DOCTYPE (ar) AND PUBYEAR > 2008 |
| Cochrane Central Register of Controlled Trials | ((((((platelet) OR platelets) OR platelet functions) OR platelet changes) OR platelet structure) OR platelet size)) AND (((((((((osteoporosis) OR bone demineralization) OR bone density) OR Osteoporotic Fractures) OR osteopenia) OR bone loss) OR bone density) OR bmd) in All Text—with Publication Year from 2009 to 2019 |
Preclinical (in vitro and in vivo) and clinical studies on PLT functions/features and growth factor in PLTs during osteoporosis.
| Reference | Aim | Study Design | Methodology | Platelet Function | Link Between Platelet and Osteoporosis | Main Results |
|---|---|---|---|---|---|---|
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| Pountos et al. 2010 [ | Effect of BMP-2, BMP-7, PTH, and PDGF on proliferation and osteogenic differentiation of OP MSCs | MSCs isolated from trabecular bone of 10 OP patients (4 male and 6 female) treated with a 106 range of concentrations (0.001 to100 ng/mL) of PDGF-BB | Functional assays of proliferation and osteogenic differentiation | PDGF-BB | PDGF-BB have a positive effect on osteogenic differentiation of OP MSCs | MSC proliferation stimulated by BMP-7 and PDGF-BB |
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| Xie et al. 2014 [ | Role of PDGF-BB in OVX mice | OVX C57BL/6 female mice injected with 1 μg PDGF-BB into the bone marrow cavity | Micro-CT, immunocytochemistry, immunofluorescence and histomorphometry. | PDGF-BB | Local PDGF-BB administration can temporally increase angiogenesis and spatially promote bone formation to couple angiogenesis with osteogenesis in bone modeling and remodeling | ↑PDGF-BB concentrations, VEGF concentrations, vessel volume, CD31hi Emcnhi cells, proliferation of endothelial cells in metaphysis, trabecular bone volume, thickness and number, cortical bone thickness, serum osteocalcin concentration in OVX mice treated with PDGF-BB |
| Zhang et al. 2014 [ | Effect on osteointegration of nanotube arrays loaded with rhPDGF-BB | OVX rat femur implantation: | Static and dynamic histomorphometry and biomechanical test | PDGF-BB | Immobilization of rhPDGF-BB on nanotube arrays as implant surface modification strategy in orthopedic applications in osteoporotic patients | rhPDGF-BB immobilized on the nanotube surface ↑ new bone formation and osseointegration |
| Tang et al. 2017 [ | Association between low plasma PDGF-BB levels and oestradiol | Sprague–Dawley rat: | Plasma oestradiol and PDGF-BB levels measured using ELISA kits | PDGF-BB | Plasma PDGF-BB levels play a major role in OVX rats | ↓PDGF-BB levels in OVX rats than SHAM group. |
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| Kim et al. 2011 [ | Association between peripheral blood cell (PLT, WBC, RBC) counts BMD | Case-control study | DXA, biochemical parameters | PLTs count | Positive relationship between blood cell counts and BMD | WBC, RBC and PLT counts significantly associated with BMD |
| Li et al. 2012 [ | Relationship between | Case-control study | DXA, biochemical parameters | PLTs count and MPV | MPV negatively correlated with BMD | Negative correlation between MPV and the lumbar and femoral neck BMD. |
| D’Amelio et al. 2012 [ | Correlation between PLTs vitamin D receptor expression and OP | Case-control study | DXA, markers of bone metabolism and vitamin D receptor levels | PLTs vitamin D receptor expression | Reduced level of PLT vitamin D receptor is correlate to OP | ↓PLTs vitamin D receptor expression in OP patients respect to healthy postmenopausal controls. PLTs vitamin D receptor not influenced by gender. PLTs vitamin D receptor predict 65% of the BMD variation. |
| Akbal et al. 2014 [ | Correlation between BMD and MPV and PDW | Case-control study | DXA, full laboratory test | MPV | Significant role of PDW and MPV in the postmenopausal OP development | ↓MPV and PDW in OP than the normal BMD patients. PDW positively correlated with FTT and L1–4T scores. Age and PDW independently related to FTT and LTT scores. |
| Kim et al. 2015 [ | Association between plasma PAF, OP vertebral fracture and BMD | Case-control study | Radiography, DXA, biochemical parameters, plasma PAF concentration | PAF | Plasma PAF levels inversely correlated with BMD | 34.6% ↑ plasma PAF levels in postmenopausal women with vertebral fracture than subjects without vertebral fracture |
| Aypak et al. 2016 [ | Correlation between BMD and MPV | Case-control study | DXA, laboratory tests including complete blood count (CBC), | MPV | MPV correlated with BMD in postmenopausal OP women. | MPV significantly associated with BMD in normal weight and overweight-obese OP patients. |
| Tang et al. 2017 [ | Association between low plasma PDGF-BB levels and oestradiol in postmenopausal OP | Case-control study | DXA, plasma oestradiol and PDGF-BB levels | PDGF-BB | Plasma PDGF-BB levels maintained by oestrogen in normal young women and | ↓plasma oestradiol and |
| Vural et al. 2017 [ | Correlation between | Case-control study | DXA, biochemical parameters | MPV | No correlation between MPV and OP. MPV considered a less important indicator in serum 25-hydroxyvitamin D levels and OP | No difference in MPV and PLT counts between groups. No correlation between MPV and serum 25-hydroxyvitamin D levels. Correlation between PLT count and lumbar spine (L1–4) T score |
| Koseoglu et al. 2017 [ | Correlation between | Case-control study | DXA, biochemical parameters | PLT/lymphocyte | PLT/lymphocyte | ↑PLT/lymphocyte |
| Eroglu et al. 2019 [ | Correlation between | Case-control study | DXA, biochemical parameters | PLT/lymphocyte | Negative correlation | ↑PLT/lymphocyte |
MPV: mean platelet volume; PDW platelet distribution width; FTT: femur total T; L1–4T: lumbar 1–4T; PAF: platelet-activating factor; WBC: peripheral blood white blood cell RBC: red blood cell.
Preclinical studies on PLT derivatives.
| Reference | Aim | Study Type | Platelet Formulation | Platelets Concentration | White Blood Cells Content | Activation Method | Platelets Application | Experimental Design | Main Results |
|---|---|---|---|---|---|---|---|---|---|
| Lo et al. 2009 [ | Transplantation of PRP/NIH3T3-G cells to induced bone regeneration in OP | in vitro and in vivo | Human | NS | NS | Exogenous-bovine thrombin | NIH3T3-G alone, BMCs alone, and NIH3T3 G/BMC co-culture | OVX-SAMP8 mice treated with PRP/NIH3T3-G | PRP/NIH3T3-G treatment prevent OP development |
| Liu et al. 2011 [ | Balance between adipogenesis and osteogenesis in bone regeneration | in vitro and in vivo | Human | NS | NS | Exogenous-bovine thrombin | Mouse pre-adipocytes (3T3-L1) and osteoblast cell line (7F2) co-culture | OVX-SAMP8 mice treated with PRP | PRP treatment exert its action promoting bone regeneration and suppressing adipogenesis within the marrow |
| Clafshenkel et al. 2012 [ | Incorporation of melatonin and/or PRP into CA scaffolds to enhance bone regeneration in OP | in vivo | OVX rat | NS | NS | NS | Calvaria critical-sized defect | OVX rats treated with CA scaffold with PRP and melatonin, associated or not | PRP not improves bone formation |
| Chen et al. 2013 [ | PRP to promote healing of | in vitro and in vivo | OVX rat | High: 8.21 ± 0.4 × 109 | NS | Exogenous-thrombin/CaCl2 | BMSCs culture | OVX rats treated with high-, medium- and low-concentration PRP and with PPP | Medium-concentration of PRP is the more suitable in promoting fracture healing |
| Cho et al. 2014[ | Incorporation of PRP into CPC to enhance bone regeneration in OP | in vivo | OVX rat | 4.12 × 109 | NS | NS | Vertebral body critical-size defects | OVX rats treated with CPC associated to PRP | PRP accelerates osteoconduction |
| Jiang et al. 2016 [ | PRP treatment and TiO2 nanoporous modification on the stability of titanium implants in OP | in vivo | Human | 2 × 109 | NS | Exogenous-calcium enriched batroxobin | Bone marrow cavity of the hind tibia | OVX rats treated with TiO2 associated to PRP | PRP treatment improves implant biomechanical stability |
| Wei et al. 2016 [ | PRP in combination with BMSCs for the treatment of OP defect | in vivo | Rats | NS | NS | Exogenous-thrombin | Tibia critical size defects defect | OVX rats treated with allogenic BMSC associated to PRP | PRP combined with BMSCs |
| Rocha et al. 2017 [ | PRP and MSCs, associated or not, in the repair of bone failures in secondary OP | in vivo | Equine | 200 × 103 | NS | NS | Tibia failures | Rabbits submitted to ovariosalpingohysterectomy and hypercortisolism treated with allogeneic BMSCs and PRP, associated or not | PRP contributes positively to the repair of bone failure, but less than the treatment with MSCs and similarly to the association of both |
| Sakata et al. 2018 [ | Bone regeneration of OP defects by PRP | in vivo | Rats | NS | NS | NS | Vertebral body critical-size defects | OVX rats treated with β-TCP associated to PRP | PRP associated to β-TCP sponge facilitates bone regeneration in OVX lumbar vertebral bone defect |
| Engler-Pinto et al. 2019 [ | L-PRF associated or not with bovine bone graft on the healing of OP bone defects | in vivo | Rats | NS | NS | NS | Calvaria critical size defects | OVX rats treated with bovine bone graft associated to PRP | L-PRF clot improves bone formation but less than the use of L-PRF associated to bovine bone graft |
NS: not specified; PRP/NIH3T3-G: NIH3T3-G pre-differentiated into osteoblast-like cells using PRP; OVX-SAMP8: ovariectomized senescence-accelerated mice; CA: calcium aluminate; CPC: calcium phosphate cement; β-TCP: β-tricalciumphosphate.
QUIPS tool for assessing risk of bias in the clinical studies.
| Study | QUIPS | |||||
|---|---|---|---|---|---|---|
| Study Participation | Study Attrition | Prognostic Factor Measurement | Outcome Measurement | Confounding Measurement and Account | Analysis | |
|
| ||||||
| Kim et al.2011 [ | Low | Low | Moderate | Moderate | Moderate | Low |
| Li et al. 2012 [ | Low | Low | Low | Moderate | Low | Low |
| D’Amelio et al. 2012 [ | Moderate | High | Moderate | High | Moderate | Moderate |
| Akbal et al. 2014 [ | Low | Low | Low | Moderate | Low | Low |
| Kim et al. 2015 [ | Low | Low | Low | Low | Low | Low |
| Aypak et al. 2016 [ | Low | Low | Low | Moderate | Moderate | Moderate |
| Tang et al. 2017 [ | Low | Moderate | Moderate | Moderate | Moderate | Moderate |
| Vural et al. 2017 [ | Low | Low | Low | Moderate | Low | Moderate |
| Koseoglu et al. 2017 [ | Low | Low | Low | Moderate | Moderate | Low |
| Eroglu et al. 2019 [ | Low | Moderate | High | Moderate | Moderate | Low |
low (good) indicator, moderate indicator, high (bad) indicator.
SYRCLE’s tool for assessing risk of bias in the in vivo studies.
| SYRCLE | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Study | Selection Bias | Performance Bias | Detection Bias | Attrition Bias | Reporting Bias | Other | ||||
| Sequence Generation | Baseline Characteristics | Allocation Concealment | Random Housing | Blinding | Random Outcome Assessment | Blinding | Incomplete Outcome Data | Selective Outcome Reporting | Other Sources of Bias | |
|
| ||||||||||
| Xie et al. 2014 [ | Yes | Yes | Yes | Yes | No | Unclear | No | No | Yes | No |
| Zhang et al. 2014 [ | No | Yes | Unclear | Unclear | Unclear | Yes | No | No | Yes | No |
| Tang et al. 2017 [ | No | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | No | Yes | Yes |
|
| ||||||||||
| Lo et al. 2009 [ | No | Unclear | No | Unclear | Unclear | No | No | No | Yes | No |
| Liu et al. 2011 [ | No | No | No | No | No | No | No | No | Unclear | No |
| Clafshenkel et al. [ | No | Yes | No | No | No | No | No | Unclear | Yes | Unclear |
| Chen et al. 2013 [ | No | Unclear | No | No | Yes | No | Yes | No | Yes | No |
| Cho et al. 2014 [ | No | No | No | No | No | No | Unclear | Yes | Yes | Yes |
| Jiang et al. 2016 [ | No | Yes | No | No | No | No | No | No | Yes | Unclear |
| Wei et al. 2016 [ | Unclear | Yes | Unclear | No | No | No | No | No | Yes | No |
| Rocha et al. 2017 [ | No | No | No | No | No | No | No | Unclear | Yes | Yes |
| Sakata et al. 2018 [ | No | Yes | Unclear | No | No | No | No | No | Yes | No |
| Engler-Pinto et al. 2019 [ | Yes | Yes | Yes | No | No | No | Unclear | No | Yes | No |
positive (good) indicator, unclear, negative (bad) indicator.
Figure 4PRISMA flowchart for the selection of studies.