The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Expression Profile of MicroRNAs in Young Stroke Patients
Open accessAbstract
BACKGROUND: The methods currently available for diagnosis and prognosis of cerebral ischaemia still require further improvements. Micro-RNAs (small non-coding RNAs) have been recently reported as useful biomarkers in diseases such as cancer and diabetes. We therefore carried out microRNA (miRNA) profiling from peripheral blood to detect and identify characteristic patterns in ischaemic stroke. METHODS/PRINCIPAL FINDINGS: The ischaemic stroke patients aged between 18-49 years, characterized based on World Health Organization clinical criteria were further classified according to TOAST classification, a) Large-vessel atherosclerosis [n=8] b) Small-vessel disease [n=3] c) Cardioembolism [n=5] d) Undetermined cause [n=3]. The patients' functional status at the time of blood sampling (at the outpatient clinics) was evaluated with the modified Rankin Scale (mRS). Blood samples from normal (n=5) individuals were used as controls. Total RNA extracted from whole blood was subjected to miroRNA profiling and real-time PCR analysis. miRNAs that are implicated in the endothelial/vascular function, erythropoiesis, angiogenesis and neural function showed differential expression profile as compared to the normal control. Interestingly, miRNAs that are involved in hypoxic conditions have also been found in our miRNA profiles. CONCLUSION: We demonstrate that the peripheral blood miRNAs and their profiles can be developed as biomarkers in diagnosis and prognosis of cerebral ischaemic stroke. The dysregulated miRNAs have been detectable even after several months from the onset of stroke in what is usually regarded as neurologically stable patients.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
TM4: a free, open-source system for microarray data management and analysis
Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., Braisted, J., Klapa, M., Currier, T., Thiagarajan, M., et al. (2003) · BioTechniques · doi:10.2144/03342mt01 · Cited by 4,837
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560
Role of microRNAs in vascular diseases, inflammation, and angiogenesis
Urbich, C., Kuehbacher, A., & Dimmeler, S. (2008) · Cardiovascular Research · doi:10.1093/cvr/cvn156 · Cited by 880
Wang, X., Qian, R., Zhang, W., Chen, S., Jin, H., & Hu, R. (2009) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/j.1440-1681.2008.05057.x · Cited by 271
Differential expression of microRNAs in hematopoietic cell lineages
Merkerova, M., Belickova, M., & Bruchova, H. (2008) · European Journal of Haematology · doi:10.1111/j.1600-0609.2008.01111.x · Cited by 240
Research works printed but not linked: 24
- LC Li, 2008, The multifaceted small RNAs., RNA Biol, 5(2), 61
- S Mocellin, 2009, Oncomirs: from tumor biology to molecularly targeted anticancer strategies., Mini Rev Med Chem, 9(1), 70, 10.2174/138955709787001802 · DOI
- JB Johnnidis, 2008, Regulation of progenitor cell proliferation and granulocyte function by microRNA-223., Nature, 451(7182), 1125, 10.1038/nature06607 · DOI · Paper page
- V Aumiller, 2008, Roles of microRNAs beyond development–metabolism and neural plasticity., Biochim Biophys Acta, 1779(11), 692, 10.1016/j.bbagrm.2008.04.008 · DOI
- C Carissimi, 2009, MicroRNAs: Novel regulators of immunity., Autoimmun Rev
- N Bushati, 2008, MicroRNAs in neurodegeneration., Curr Opin Neurobiol, 18(3), 292, 10.1016/j.conb.2008.07.001 · DOI
- CH Lawrie, 2007, MicroRNA expression distinguishes between germinal center B cell-like and activated B cell-like subtypes of diffuse large B cell lymphoma., Int J Cancer, 121(5), 1156, 10.1002/ijc.22800 · DOI · Paper page
- PT Nelson, 2008, MicroRNAs (miRNAs) in neurodegenerative diseases., Brain Pathol, 18(1), 130, 10.1111/j.1750-3639.2007.00120.x · DOI · Paper page
- K Jeyaseelan, 2008, MicroRNA expression in the blood and brain of rats subjected to transient focal ischemia by middle cerebral artery occlusion., Stroke, 39(3), 959, 10.1161/STROKEAHA.107.500736 · DOI · Paper page
- JB Redell, 2009, Traumatic brain injury alters expression of hippocampal microRNAs: potential regulators of multiple pathophysiological processes., J Neurosci Res, 87(6), 1435, 10.1002/jnr.21945 · DOI · Paper page
- A Dharap, 2009, Transient focal ischemia induces extensive temporal changes in rat cerebral MicroRNAome., J Cereb Blood Flow Metab, 29(4), 675, 10.1038/jcbfm.2008.157 · DOI · Paper page
- C Grond-Ginsbach, 2008, Gene expression in human peripheral blood mononuclear cells upon acute ischemic stroke., J Neurol, 255(5), 723, 10.1007/s00415-008-0784-z · DOI
- H Xu, 2008, Gene expression in peripheral blood differs after cardioembolic compared with large-vessel atherosclerotic stroke: biomarkers for the etiology of ischemic stroke., J Cereb Blood Flow Metab, 28(7), 1320, 10.1038/jcbfm.2008.22 · DOI
- J Couzin, 2008, MicroRNAs make big impression in disease after disease., Science, 319, 1782, 10.1126/science.319.5871.1782 · DOI
- R Kulshreshtha, 2008, A microRNA component of the hypoxic response., Cell Death Differ, 15(4), 667, 10.1038/sj.cdd.4402310 · DOI · Paper page
- V Divakaran, 2008, The emerging role of microRNAs in cardiac remodeling and heart failure., Circ Res, 103(10), 1072, 10.1161/CIRCRESAHA.108.183087 · DOI · Paper page
- E van Rooij, 2008, Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis., Proc Natl Acad Sci USA, 105(35)
- L Chen, 2009, The role of microRNA expression pattern in human intrahepatic cholangiocarcinoma., J Hepatol, 50(2), 358, 10.1016/j.jhep.2008.09.015 · DOI
- A He, 2007, Overexpression of micro ribonucleic acid 29, highly up-regulated in diabetic rats, leads to insulin resistance in 3T3-L1 adipocytes., Mol Endocrinol, 21(11), 2785, 10.1210/me.2007-0167 · DOI · Paper page
- C Sucharov, 2008, miRNA expression in the failing human heart: functional correlates., J Mol Cell Cardiol, 45(2), 185, 10.1016/j.yjmcc.2008.04.014 · DOI
- N Felli, 2005, MicroRNAs 221 and 222 inhibit normal erythropoiesis and erythroleukemic cell growth via kit receptor down-modulation., Proc Natl Acad Sci USA, 102, 18081, 10.1073/pnas.0506216102 · DOI · Paper page
- SE Kasner, 2006, Clinical interpretation and use of stroke scales., Lancet Neurol, 5(7), 603, 10.1016/S1474-4422(06)70495-1 · DOI · Paper page
- BM Bolstad, 2003, A comparison of normalization methods for high density oligonucleotide array data based on variance and bias., Bioinfo, 19, 185, 10.1093/bioinformatics/19.2.185 · DOI · Paper page
- GL Papadopoulos, 2009, DIANA-mirPath: Integrating human and mouse microRNAs in pathways., Bioinformatics, 25, 1991, 10.1093/bioinformatics/btp299 · DOI · Paper page
Cited by
The emerging roles of microRNAs in CNS injuries
Bhalala, O. G., Srikanth, M., & Kessler, J. A. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.67 · Cited by 248
MicroRNA-based therapeutics in central nervous system injuries
Sun, P., Liu, D. Z., Jickling, G. C., Sharp, F. R., & Yin, K.-J. (2018) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x18773871 · Cited by 228
Increased Circulating Exosomal miRNA-223 Is Associated with Acute Ischemic Stroke
Chen, Y., Song, Y., Huang, J., Qu, M., Zhang, Y., Geng, J., Zhang, Z., Liu, J., & Yang, G.-Y. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00057 · Cited by 207
Zhao, H., Wang, J., Gao, L., Wang, R., Liu, X., Gao, Z., Tao, Z., Xu, C., Song, J., Ji, X., et al. (2013) · Stroke · doi:10.1161/strokeaha.111.000504 · Cited by 188
MicroRNA-29b is a Therapeutic Target in Cerebral Ischemia Associated with Aquaporin 4
Wang, Y., Huang, J., Ma, Y., Tang, G., Liu, Y., Chen, X., Zhang, Z., Zeng, L., Wang, Y., Ouyang, Y.-B., et al. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.156 · Cited by 121
Metadata
- Authors
- Tan, K. S., Armugam, A., Sepramaniam, S., Lim, K. Y., Setyowati, K. D., Wang, C. W., & Jeyaseelan, K.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-11-02
- Volume
- 4
- Issue
- 11
- Pages
- e7689
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1999272982
- Cited by
- 396
- References
- 6
- FWCI
- 5.83
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
