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> Disorders > Disease or Syndrome > Bone Diseases

Bone Diseases

Bone Diseases are a diverse group of conditions affecting the skeletal system.
These disorders can impact the structure, strength, and function of bones, leading to pain, deformity, and impaired mobility.
Conditions like osteoporosis, fractures, and bone cancers are examples of bone diseases.
Researchers can optimize their studies on these topics by leveraging PubCompare.ai, an AI-driven platform that helps identify the most effective research protocols from literature, pre-prints, and patents.
This tool uses advanced comparisons to pinpoint the best protocols and products for your needs, enhancing the accuracy of your bone disease reserach.

Most cited protocols related to «Bone Diseases»

1
Radiographic and Survival Outcomes in Metastatic Prostate Cancer
Coprimary end points were radiographic progression-free survival and overall survival. Secondary end points included the time until the initiation of cytotoxic chemotherapy, the time until the first skeletal-related event, the best overall soft-tissue response, the time until PSA progression, and a decline in the PSA level of 50% or more from baseline. Prespecified exploratory end points included quality of life, as measured with the use of the Functional Assessment of Cancer Therapy–Prostate (FACT-P) scale, and a decline in the PSA level of 90% or more from baseline. End-point definitions are provided in Table S1 in the Supplementary Appendix, available at NEJM.org.
Radiographic disease was evaluated with the use of either computed tomography or magnetic resonance imaging and with the use of bone scanning. Imaging was performed at the time of screening, at weeks 9, 17, and 25, and every 12 weeks thereafter. Radiologists at a central location who were unaware of the study-group assignments determined whether there was progressive disease on the basis of Response Evaluation Criteria in Solid Tumors (RECIST), version 1.1, for soft tissue or on the basis of criteria adapted from the Prostate Cancer Clinical Trials Working Group 217 (link) for osseous disease (Table S1 in the Supplementary Appendix).
Beer T.M., Armstrong A.J., Rathkopf D.E., Loriot Y., Sternberg C.N., Higano C.S., Iversen P., Bhattacharya S., Carles J., Chowdhury S., Davis I.D., de Bono J.S., Evans C.P., Fizazi K., Joshua A.M., Kim C.S., Kimura G., Mainwaring P., Mansbach H., Miller K., Noonberg S.B., Perabo F., Phung D., Saad F., Scher H.I., Taplin M.E., Venner P.M, & Tombal B. (2014). Enzalutamide in Metastatic Prostate Cancer before Chemotherapy. The New England journal of medicine, 371(5), 424-433.
Publication 2014
Bone Diseases Bones Disease Progression Pharmacotherapy Prostate Cancer Radiologist Skeleton Therapeutics Tissues X-Ray Computed Tomography X-Rays, Diagnostic
2
Genome-Wide Association Analysis of Bone Traits
We performed genome-wide association (GWA) analyses by two approaches, using both family-based and population-based methods. (See description of the general statistical methods for GWA and linkage analyses in the Overview paper [30 (link)]). Both sex-specific and combined-sexes analyses were performed. We used additive generalized estimating equation (GEE) and family-based association tests (FBAT) models to test associations of our phenotypes. Family based association testing has a great power to detect genetic variants of modest effect size [30 (link),36 (link)].
In order to prioritize SNPs potentially associated with multiple phenotypes, we evaluated several phenotypic subgroups: (1) clinically important bone mineral density traits (FNBMD, TRBMD, LSBMD), (2) a combination of BMDs with BUA, (3) hip geometry (NSA, NeckLeng, NeckW and ShaftW), and (4) hip BMDs with hip geometry. We also focused on BMD in sex-specific subgroups. For each SNP we calculated the number of traits significantly associated with this SNP at alpha <0.01 in both GEE and FBAT, assuring that the FBAT and GEE effects were in the same direction. We then selected top SNPs with highest numbers of nominally significantly associated traits. For identical proportions of nominally significant traits, SNPs were additionally ranked by the mean of GEE p-values across traits (as well, GEE p-values were used for SNP ranking in the sex-specific subgroups due to a small sample size for FBAT analysis).
For SNPs that were selected by more than one strategy and that pertained to a specific gene (according to the NCBI Build 35), we perused Entrez Gene and also queried PubMed using the gene name and "osteoporosis", "fracture" or "bone mass" terms, in order to identify biological plausibility or evidence relating these genes specifically to bone disease.
Variance component analyses (VCA) for all phenotypes were performed on normalized or rank-normalized residuals using the computer package Sequential Oligogenic Linkage Analysis Routines (SOLAR, SFBR/NIH, San Antonio, TX) version 2.0, available online http://www.sfbr.org/solar/doc/00.contents.html. Heritability (h2) of each phenotype was estimated as the proportion of the total phenotypic variance attributable to the additive effects of genes. Subsequent linkage analyses were also conducted using SOLAR. This method, described in detail elsewhere [37 (link)] (see description of the linkage methods in the Overview paper [30 (link)]), entails specification of the genetic covariance between arbitrary relatives as a function of the identity-by-descent (IBD) relationships at a given marker locus and models the covariance matrix for a pedigree as the sum of the additive genetic covariance attributable to the QTL, the additive genetic covariance due to the effects of loci other than the QTL, and the variance due to unmeasured environmental factors. VCA linkage used IBDs values that were calculated from 11,200 markers.
Kiel D.P., Demissie S., Dupuis J., Lunetta K.L., Murabito J.M, & Karasik D. (2007). Genome-wide association with bone mass and geometry in the Framingham Heart Study. BMC Medical Genetics, 8(Suppl 1), S14.
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Publication 2007
Biopharmaceuticals Bone Density Bone Diseases Fracture, Bone Genes Genetic Diversity Genetic Linkage Analysis Genetic Loci Genome Genome-Wide Association Study Osteoporosis Phenotype Reproduction Single Nucleotide Polymorphism
3
Osteoporosis and Oral Bone Loss Study
This study was conducted in participants of the Women’s Health Initiative Observational Study (WHIOS) enrolled at the University at Buffalo clinical center (N=2249) (Figure 1). These postmenopausal women were contacted between 1997–2000 and invited to participate in an ancillary study of osteoporosis and oral bone loss (Osteo Perio Ancillary Study) (25 (link)). Those interested and eligible completed a series of questionnaires, had an oral examination and underwent systemic bone density screening. A total of 1362 women participated in this ancillary study. Of those, 1341 who had complete baseline questionnaires (5 missing questionnaires) and oral radiographs (16 incomplete radiographs) were invited back approximately 5 years later for a follow-up study where questionnaire information and standardized examinations were repeated. Among the 1341 participants from the baseline study invited to the follow-up examination, 101 were ineligible, 51 were determined to be deceased, 151 were not interested in participating, 3 withdrew from the original WHI observational study, and 9 were unable to be contacted. An additional 5 consented but had an incomplete dental exam at the follow-up visit. These analyses are based on the remaining 1,021 individuals who participated in the follow-up study. Participants were ineligible for the baseline study if they had less than 6 teeth remaining, history of bone disease, bilateral hip replacement, cancer diagnosis in the 10 years prior to interview, and certain other serious illnesses (25 (link)). For the follow-up study, women were ineligible if during the follow-up they developed cancer or an immunosuppressive disorder (eg. transplant recipient), were on long term antibiotic treatment or received recent dental x-rays within the prior year. All participants provided signed informed consent for the WHI-OS, as well as the baseline and follow-up ancillary studies. All studies were approved by the University at Buffalo’s Health Sciences Institutional Review Board.
Bole C., Wactawski-Wende J., Hovey K., Genco R.J, & Hausmann E. (2010). Clinical and community risk models of incident tooth loss in postmenopausal women from the Buffalo Osteo Perio Study. Community dentistry and oral epidemiology, 38(6), 487-497.
Publication 2010
Antibiotics Bone Density Bone Diseases Buffaloes Dental Health Services Diagnosis Ethics Committees, Research Healthy Volunteers Immunosuppressive Agents Long-Term Care Malignant Neoplasms Oral Examination Osteopenia Osteoporosis Physical Examination Radiography, Dental Replacement Arthroplasties, Hip Tooth Transplant Recipients Woman X-Rays, Diagnostic
4
Bidirectional Gut Microbiome-Disease Associations
Causal relationships between diseases and gut microbiota were investigated at genus and species levels only to maximize interpretability. In total, 213 species and 148 genera associated with at least one variant at genome-wide significant level (P < 1 × 10−8) were included. GWAS summary results were collected for 46 diseases from MR-Base115 (Supplementary Table 4). These included 12 autoimmune or inflammatory diseases, 9 cardiometabolic diseases, 13 psychiatric or neurological diseases, 4 bone diseases and 8 cancers. For diseases with more than one GWAS record, the record with the largest sample size was kept.
Bidirectional causal inference was performed to infer causal effects of microbial abundance variation (exposure) on disease risk (outcome), and of disease (exposure) on microbial abundance levels (outcome). To select the SNP instruments for microbial exposures in our study (Supplementary Table 7), we followed recommendations from a previous study showing that associated SNPs below a significance threshold of P < 1 × 10−5 had the largest explained variance on microbial features116 (link). For each taxon, GCTA-COJO was used to perform a conditional analysis to select independently associated SNPs at P < 1 × 10−5. F statistics were calculated to estimate the strength of instruments for each bacterial exposure, and were found to be >10 for all exposures (Supplementary Table 5). SNP instruments for disease exposures were selected at genome-wide significance threshold (P < 5 × 10−8). Subsequently LD-clumping with a strict threshold (r2 < 0.001 in the 1000 Genomes European data within 10 Mb windows) was conducted to select independent instruments with the lowest P values for taxa and diseases, respectively.
Details about the precise methods used for MR inference can be found in the Supplementary Note.
Qin Y., Havulinna A.S., Liu Y., Jousilahti P., Ritchie S.C., Tokolyi A., Sanders J.G., Valsta L., Brożyńska M., Zhu Q., Tripathi A., Vázquez-Baeza Y., Loomba R., Cheng S., Jain M., Niiranen T., Lahti L., Knight R., Salomaa V., Inouye M, & Méric G. (2022). Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort. Nature genetics, 54(2), 134-142.
Publication 2022
Bacteria Bone Diseases Europeans Gastrointestinal Microbiome Genome Genome-Wide Association Study Inflammation Malignant Neoplasms Nervous System Disorder
5
PALOMA-3 Palbociclib Combination for MBC
PALOMA-3 randomly assigned 521 patients with endocrine-pretreated MBC to receive palbociclib plus fulvestrant or placebo plus fulvestrant.4 (link) This study was approved by an institutional review board or independent ethics committee at each site; all patients provided informed consent before enrollment. Patients consented to the assessment of biomarkers associated with sensitivity or resistance to palbociclib combination treatment per study protocol. Except for patients with bone-only disease or relapse while on adjuvant therapy and who had surgery within 3 years who could provide an archival primary sample, all patients provided formalin-fixed paraffin-embedded (FFPE) tissue taken from metastatic disease. One FFPE tissue sample (two slides per patient) was stained with hematoxylin and eosin, and a board-certified pathologist assessed tumor content and tissue necrosis (additional details provided in the Data Supplement).
To independently validate the association between CCNE1 mRNA expression and efficacy of palbociclib, we analyzed gene expression data from 61 patients in the POP trial (Data Supplement).21 (link) This trial allocated women with untreated early-stage breast cancer three to one to receive oral palbociclib for 14 days until the day before surgery or to no treatment.
Turner N.C., Liu Y., Zhu Z., Loi S., Colleoni M., Loibl S., DeMichele A., Harbeck N., André F., Bayar M.A., Michiels S., Zhang Z., Giorgetti C., Arnedos M., Huang Bartlett C, & Cristofanilli M. (2019). Cyclin E1 Expression and Palbociclib Efficacy in Previously Treated Hormone Receptor–Positive Metastatic Breast Cancer. Journal of Clinical Oncology, 37(14), 1169-1178.
Publication 2019
Biological Markers Bone Diseases CCNE1 protein, human Dietary Supplements Eosin Ethics Committees Ethics Committees, Research Formalin Fulvestrant Gene Expression Hypersensitivity Malignant Neoplasm of Breast Necrosis Neoplasm Metastasis Neoplasms Operative Surgical Procedures palbociclib Paraffin Pathologists Patients Pharmaceutical Adjuvants Placebos Relapse RNA, Messenger Surgery, Day System, Endocrine Tissues Woman

Most recents protocols related to «Bone Diseases»

1
Navicular Necrosis Surgical Restoration
As determined by the individual situation, an autogenous tricortical bone graft of appropriate size was harvested from the ipsilateral iliac crest. Cancellous bone was harvested with the smallest osteotome possible. A longitudinal dorsal incision was made lateral to the extensor hallucis longus tendon with an interface between the extensor hallucis longus tendon and the dorsalis pedis artery, both of which were retracted correspondingly. The soft tissue was distracted by a lamina spreader to expose the talonavicular and navicular-cuneiform joints. The talonavicular and navicular-cuneiform joints were distracted using a Hintermann distractor over separate K-wires. The articular surfaces were debrided in situ with cartilage shovels to the subchondral bone. A K-wire was used to drill the subchondral sclerotic bone plate into a favaginous condition for fusion. Then bite off the excess osteophyte from the lateral 4-corners. The plantar ligament and plantar soft tissue of the navicular are loosened with a sharp knife, leaving only the insertion point of the posterior tibial tendon. The whole debridement process created a relative space around the navicular bone. Subsequently, a periosteal detacher was pressed against the lateral bony protrusion of the navicular bone to rotate the bone outwards to the original top location. Once the reduction was deemed satisfactory by direct visualization, two to three crossing K-wires were used for temporary fixation. After the demonstration of the corrected medial longitudinal arch on the C-arm, the lateral half of the navicular bone (including the talonavicular and navicular-cuneiform joints involved in the necrotic lesion) was excised using an osteotome to form a broad dorsal trapezoid laterally and a rectangular longitudinal bone bed. And the modified tricortical iliac bone block was inserted into the space between the talus and the cuneiforms. Finally, two hollow lag screws and a dorsal LCP were used to arthrodese the talonavicular-cuneiform joints. A transverse Herbert screw was used (where needed) to fix the bone block and medial navicular bone. The wound was closed after packing the previously acquired cancellous bone to smooth the defect gaps.
Postoperatively, a protective non-weight bearing short-leg plaster cast was applied for 6 weeks, after which weight-bearing was gradually allowed as tolerated.
Bai W., Li Y., Shen G., Zhang H., Li X, & Zhu Y. (2023). Talonavicular-cuneiform arthrodesis for the treatment of Müller-Weiss: mid-term results of 15 cases after 5 years. BMC Musculoskeletal Disorders, 24, 178.
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Publication 2023
Arteries Arthrodesis Bone Diseases Bones Bone Transplantation Cancellous Bone Cartilage Debridement Dental Occlusion Drill Iliac Crest Ilium Joints Kirschner Wires Navicular Bone of Foot Necrosis Osteophyte Osteotomy Periosteum Plantar Plate Plaster Casts Scaphoid Bone Sclerosis Talus Tendons Tibia Tissues Trapezoid Bones Wounds
2
Quantitative miRNA Expression Analysis

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Publication 2023
Acid Hybridizations, Nucleic Biotin Bone Diseases formamide Gene Chips Ligation MicroRNAs Oligonucleotides Sulfoxide, Dimethyl
3
Exploring GSTP1 Modulation in Osteoporosis

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Publication 2023
Bone Diseases Bone Marrow Bones Dental Caries Females Femur GSTP1 protein, human Injections, Intraperitoneal Lentivirus LY3023414 Mice, House Mice, Inbred C57BL Normal Saline Operative Surgical Procedures Osteoporosis paraform physiology Tail TLK 199 Veins
4
Clavicle Morphometric Analysis of Thai Population
Human dry-bone specimens of Thai national (Mongoloid) were provided by the Forensic Osteology Research Center, Faculty of Medicine, Chiang Mai University, Thailand. The study sample encompasses 374 female clavicles and 641 male clavicles. All samples were collected between 2006–2018 with the age at death ranging from 20–100. The cause of death was mostly natural. Individuals with health condition affecting bone mass density for example Thalassemia or with visible bone deformities such as fractures and erosions were excluded. Further biomedical information such as weight, lifestyle and personal medication was not available. The study was approved by the Research ethics committee, Faculty of Medicine, Chiang Mai University, Thailand (Research ID: ANA2563-07823).
Kengkard P., Choovuthayakorn J., Mahakkanukrauh C., Chitapanarux N., Intasuwan P., Malatong Y., Sinthubua A., Palee P., Lampang S.N, & Mahakkanukrauh P. (2023). Convolutional neural network of age-related trends digital radiographs of medial clavicle in a Thai population: a preliminary study. Anatomy & Cell Biology, 56(1), 86-93.
Publication 2023
Asiatic Races Bone Diseases Bones Clavicle Congenital Abnormality Ethics Committees, Research Faculty, Medical Females Fracture, Bone Homo sapiens Males Pharmaceutical Preparations Thai Thalassemia
5
Risk Factors for CD Complications
The main aim of the study was to analyze possible risk factors for seven frequent complications that might occur during the course of CD. Those complications are stricturing disease (B2 behavior), penetrating disease (B3 behavior), the necessity of surgery, growth retardation (body weight at least two standard deviations below the mean), hospitalization (necessity of stay in hospital, no inclusion of day-care in hospital), perianal disease [perianal fistula, perianal abscess, anal eczema, perianal lesion(s)] and bone disease.
Klamt J., de Laffolie J., Wirthgen E., Stricker S, & Däbritz J. (2023). Predicting complications in pediatric Crohn's disease patients followed in CEDATA-GPGE registry. Frontiers in Pediatrics, 11, 1043067.
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Publication 2023
Abscess Anus Body Weight Bone Diseases Day Care, Medical Eczema Factor VII Fistula Hospitalization Operative Surgical Procedures

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More about "Bone Diseases"

Bone disorders, skeletal conditions, osteopathic diseases, and musculoskeletal ailments are all terms that fall under the broad category of 'Bone Diseases'.
These diverse maladies can impact the structure, integrity, and functionality of the bones, leading to pain, deformity, and impaired mobility.
Common examples include osteoporosis, fractures, and bone cancers.
Researchers studying these topics can leverage the power of PubCompare.ai, an innovative AI-driven platform that helps identify the most effective research protocols from literature, preprints, and patents.
Using advanced comparative analysis, this tool can pinpoint the best protocols and products to enhance the accuracy and efficacy of bone disease research.
For instance, researchers can utilize Stata 13, α-MEM, VivaCT80, and SPSS version 22 to analyze data and optimize their studies on conditions like Carfilzomib-related bone complications.
The MicroView software can aid in visualizing and interpreting bone structures, while a Mouse Breeder Diet 5021 or Western RD can be leveraged for animal models.
By combining these resources with the insights from PubCompare.ai, scientists can unlock new discoveries and drive breakthroughs in the field of bone health and disease managment.