Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA271009 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Serum miRNAs could be powerful classifiers for the detection of patients with postmenopausal osteoporosis.
2022-05-01 | GSE201543 | GEO
Project description:Background: Osteoporosis is one of the most common chronic diseases around the world, especially in postmenopausal women. Circular RNAs (circRNAs) are emerging as important regulators in human disease. The aim of the present study was to analyze circRNA expression profiles in osteoporosis and to explore the clinical significance. Methods: The serum samples were collected from osteoporosis patients and healthy people. The circRNA array was performed to screen for differentially expressed circRNAs. The mRNA expression levels of target genes were analyzed by quantitative real-time PCR (qRT-PCR). Results: Hsa_circ_0006859 was identified as one of the most upregulated circRNAs in the microarray analysis. Hsa_circ_0006859 in exosome was upregulated in osteoporosis patients compared with healthy controls. Hsa_circ_0006859 could differentiate osteopenia or osteoporosis patients from healthy controls with high sensitivity and specificity. Conclusion: Exosomal hsa_circ_0006859 is a potential biomarker for postmenopausal osteoporosis.
2020-11-13 | GSE161361 | GEO
Project description:Recent studies have shown that microRNAs (miRNAs) are implicated in the development of postmenopausal osteoporosis, implying potential biomarkers. We performed a microarray-based expression scanning to search for potential circulating miRNA biomarkers for postmenopausal osteoporosis as whole blood obtianed from patients was used. MiRNA expression in the whole blood of 23 Chinese postmenopausal women with osteopenia and that of 25 Chinese postmenopausal women with osteoporosis. After total RNA was extracted, all of the RNA extraction samples were seperately pooled into six subgroups according to the T-score measurement.
2014-12-23 | E-GEOD-64433 | biostudies-arrayexpress
Project description:Recent studies have shown that microRNAs (miRNAs) are implicated in the development of postmenopausal osteoporosis, implying potential biomarkers. We performed a microarray-based expression scanning to search for potential circulating miRNA biomarkers for postmenopausal osteoporosis as whole blood obtianed from patients was used.
2014-12-23 | GSE64433 | GEO
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
2014-12-02 | GSE63741 | GEO
Project description:Genes expression profiles of postmenopausal osteoporosis with kidney Yin deficiency
| PRJNA242455 | ENA
Project description:Asthma is a chronic inflammatory airway disease characterized by airway inflammation and remodeling. The role of 15-oxo-5Z,8Z,11Z,13E-eicosatetraenoic acid (15-oxoETE), a 15-HETE metabolite catalyzed by 15-prostaglandin dehydrogenase (15-PGDH), has been relatively unexplored in asthma. In this study, we used RNA-seq to explore the effect of 15-KETE on the transcriptome of airway epithelial cells, aiming to identify its potential downstream targets and mechanisms of action.
2026-05-21 | GSE325003 | GEO
Project description:To explore the variation of serum microRNA expression during osteoporosis, we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs with the potential to diagnose osteoporosis from healthy and osteopenia individuals for clinical use. Whole blood from healthy, osteopenic and osteoporotic donors was collected, and the sera were separated. Twenty two microRNAs (miR-15a-5p, miR-29b-5p, miR-30c-2-3p, miR-145-5p, miR-199a-5p, miR-301a-3p, miR-424-5p, miR-497-5p, miR-526b-5p, miR-550a-5p, miR-575, miR-654-5p, miR-663a, miR-708-5p, miR-877-3p, miR-1246, miR-1260b, miR-1299, miR-1323, miR-4447, miR-4769-3p and miR-5685) were finally used for further detection of osteoporosis diagnosis.
2019-12-08 | GSE91033 | GEO
Project description:Plasma microRNA biomarker detection for mild cognitive impairment using differential correlation analysis
| PRJNA356063 | ENA
Project description:To study the differentially expressed genes in postmenopausal osteoporosis , a postmenopausal osteoporosis rat model were constructed by bilateral ovariectomy. We then performed gene expression profiling analysis using data obtained from RNA-seq of the rat femur tissues.
2022-06-24 | GSE201674 | GEO