Meta-analysis of proteomics data from osteoblasts, bone, and blood: Insights into druggable targets, active factors, and potential biomarkers for bone biomaterial design DOI Creative Commons
Johannes R. Schmidt, Klaudia Adamowicz, Lis Arend

et al.

Journal of Tissue Engineering, Journal Year: 2024, Volume and Issue: 15

Published: Jan. 1, 2024

Non-healing bone defects are a pressing public health concern accounting for one main cause decreased life expectancy and quality. An aging population accompanied with increasing incidence of comorbidities, foreshadows worsening this socio-economic problem. Conventional treatments non-healing prove ineffective 5%–10% fractures. Those challenges not only increase the patient’s burden but also complicate medical intervention, underscoring need more effective treatment strategies identification patients at risk before selection. To address this, our proteomic meta-analysis aims to identify universally affected proteins functions in context regeneration that can be utilized as novel bioactive biomaterial functionalizations, drug targets or therapeutics well analytical endpoints, biomarkers implant design testing, respectively. We compiled 29 studies covering cellular models, extracellular vesicles, matrix, tissue, liquid-biopsies different tissue hierarchies species. innovative, integrated framework consisting data harmonization, candidate protein selection, network construction, functional enrichment repurposing scoring metrics was developed. make widely applicable other research questions, we have published detailed tutorial process. identified 51 potentially important healing. This includes well-known ECM components such collagens, fibronectin periostin, less explored biology like YWHAE, HSPG2, CCN1, HTRA1, IGFBP7, LGALS1, TGFBI, C3, SERPINA1, ANXA1 might future development. Furthermore, discovered compounds trifluoperazine, phenethyl isothiocyanate, quercetin, artenimol, which target key S100A4, YWHAZ, MMP2, TPM4 providing option manipulate undesired processes regeneration. may open new ways options face pressure defects.

Language: Английский

From Genomics to Metabolomics: Molecular Insights into Osteoporosis for Enhanced Diagnostic and Therapeutic Approaches DOI Creative Commons
Qingmei Li, Jihan Wang,

Congzhe Zhao

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(10), P. 2389 - 2389

Published: Oct. 18, 2024

Osteoporosis (OP) is a prevalent skeletal disorder characterized by decreased bone mineral density (BMD) and increased fracture risk. The advancements in omics technologies—genomics, transcriptomics, proteomics, metabolomics—have provided significant insights into the molecular mechanisms driving OP. These technologies offer critical perspectives on genetic predispositions, gene expression regulation, protein signatures, metabolic alterations, enabling identification of novel biomarkers for diagnosis therapeutic targets. This review underscores potential these multi-omics approaches to bridge gap between basic research clinical applications, paving way precision medicine OP management. By integrating technologies, researchers can contribute improved diagnostics, preventative strategies, treatments patients suffering from related conditions.

Language: Английский

Citations

2
The Association of Systemic and Mandibular Bone Mineral Density in Postmenopausal Females with Osteoporosis DOI Creative Commons

Ioana Duncea,

Cecilia Bacali, Smaranda Buduru

et al.

Medicina, Journal Year: 2024, Volume and Issue: 60(8), P. 1313 - 1313

Published: Aug. 14, 2024

Background/Objectives: Osteoporosis is a common general disease that mostly affects the skeletal system, including jawbone. There link between systemic and mandibular osteoporosis. This study aimed at assessing association (lumbar spine L1–L4, femoral neck, total hip) bone mineral density (BMD) mandible BMD sites in Romanian postmenopausal females. Methods: A of 97 menopausal patients were studied, 62 with osteoporosis 35 females no For each patient, dual-energy X-ray absorptiometry (DXA) assessments mandible, proximal femur, hip, lumbar (L1–L4) performed. Mandibular measurements performed using distal forearm software, followed by manual analysis after contour was defined case. Results: Comparing control groups, there significant differences examined location. The (1.125 ± 0.181506 g/cm2) group considerably smaller than (1.35497 0.244397 g/cm2). Correlations different significant: neck (r = 0.738, p < 0.0001), hip 0.735, 0.506, 0.891, 0.482, 0.466, 0.0001). Conclusions: correlations spine, BMD, suggesting density. locations may help predict probability

Language: Английский

Citations

1
Meta-analysis of proteomics data from osteoblasts, bone, and blood: Insights into druggable targets, active factors, and potential biomarkers for bone biomaterial design DOI Creative Commons
Johannes R. Schmidt, Klaudia Adamowicz, Lis Arend

et al.

Journal of Tissue Engineering, Journal Year: 2024, Volume and Issue: 15

Published: Jan. 1, 2024

Non-healing bone defects are a pressing public health concern accounting for one main cause decreased life expectancy and quality. An aging population accompanied with increasing incidence of comorbidities, foreshadows worsening this socio-economic problem. Conventional treatments non-healing prove ineffective 5%–10% fractures. Those challenges not only increase the patient’s burden but also complicate medical intervention, underscoring need more effective treatment strategies identification patients at risk before selection. To address this, our proteomic meta-analysis aims to identify universally affected proteins functions in context regeneration that can be utilized as novel bioactive biomaterial functionalizations, drug targets or therapeutics well analytical endpoints, biomarkers implant design testing, respectively. We compiled 29 studies covering cellular models, extracellular vesicles, matrix, tissue, liquid-biopsies different tissue hierarchies species. innovative, integrated framework consisting data harmonization, candidate protein selection, network construction, functional enrichment repurposing scoring metrics was developed. make widely applicable other research questions, we have published detailed tutorial process. identified 51 potentially important healing. This includes well-known ECM components such collagens, fibronectin periostin, less explored biology like YWHAE, HSPG2, CCN1, HTRA1, IGFBP7, LGALS1, TGFBI, C3, SERPINA1, ANXA1 might future development. Furthermore, discovered compounds trifluoperazine, phenethyl isothiocyanate, quercetin, artenimol, which target key S100A4, YWHAZ, MMP2, TPM4 providing option manipulate undesired processes regeneration. may open new ways options face pressure defects.

Language: Английский

Citations

0