The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Altered Expression Levels of MicroRNA-132 and Nurr1 in Peripheral Blood of Parkinson’s Disease: Potential Disease Biomarkers
Abstract
MicroRNAs (miRNAs) are small and evolutionary conserved noncoding RNAs that are involved in post-transcriptional gene regulation. Differential expression levels of miRNAs can be used as potential biomarkers of disease. Previous animal studies have indicated that the expression level of miR-132 is negatively correlated with its downstream molecule nuclear receptor related 1 protein (Nurr1), which is one of the key factors for the maintenance of dopaminergic function and is particularly vulnerable in Parkinson's disease (PD). However, this correlation has not been confirmed in human patients with PD. Moreover, the possible involvement of miR-132 during the pathogenesis and progression of PD is not fully investigated. Therefore, in the present study, we determined the peripheral circulation levels of miR-132 and Nurr1 in patients with PD, neurological disease controls (NDC) and healthy controls (HC) by reverse transcription real-time quantitative PCR (RT-qPCR). Our data clearly demonstrated that the plasma miR-132 level in PD was significantly higher than those in HC (178%, p < 0.05) and NDC (188%, p < 0.001). When adjusted for gender and age, higher level of miR-132 expression was associated with the significantly increased risk for PD in males and was closely related with the disease stages and disease severity. Furthermore, peripheral Nurr1 was significantly decreased in PD compared with HC (56%, p < 0.001) and NDC (58%, p < 0.001). Much more interestingly, further analysis r…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“MiR-132/Nurr1 axis was reported to have certain relationship with PD progression (Yang et al., 2019).”
From Mechanism of miR-132-3p Promoting Neuroinflammation and Dopaminergic Neurodegeneration in Parkinson’s Disease (2022) · cites this paper as Yang et al., 2019
Citations
Cites
Cogswell, J. P., Ward, J., Taylor, I. A., Waters, M., Shi, Y., Cannon, B., Kelnar, K., Kemppainen, J., Brown, D., Chen, C., et al. (2008) · Journal of Alzheimer s Disease · doi:10.3233/jad-2008-14103 · Cited by 943
Repression of α-synuclein expression and toxicity by microRNA-7
Junn, E., Lee, K.-W., Jeong, B. S., Chan, T. W., Im, J.-Y., & Mouradian, M. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906277106 · Cited by 634
The role of Nurr1 in the development of dopaminergic neurons and Parkinson's disease
Jankovic, J., Chen, S., & Le, W. D. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.09.001 · Cited by 325
Self-citationBriggs, C. E., Wang, Y., Kong, B., Woo, T.-U. W., Iyer, L. K., & Sonntag, K. C. (2015) · Brain Research · doi:10.1016/j.brainres.2015.05.021 · Cited by 113
Research works printed but not linked: 36
- 10.3389/fnins.2016.00298 · DOI
- 10.3390/ijms17060904 · DOI
- 10.1016/S0140-6736(14)61393-3 · DOI · Paper page
- 10.1007/s12264-017-0178-2 · DOI
- 10.1016/S0896-6273(03)00568-3 · DOI · Paper page
- 10.1016/S0092-8674(04)00045-5 · DOI
- 10.1007/s12264-017-0160-z · DOI
- 10.1126/science.1140481 · DOI · Paper page
- 10.1038/cddis.2017.214 · DOI
- 10.1074/jbc.M109.086827 · DOI · Paper page
- 10.1016/j.ajhg.2007.09.021 · DOI
- 10.1073/pnas.1305623110 · DOI · Paper page
- 10.1016/j.neuroscience.2014.03.015 · DOI
- 10.18632/aging.100624 · DOI
- 10.1096/fj.201601308 · DOI · Paper page
- 10.18632/aging.100486 · DOI · Paper page
- 10.1016/j.bbadis.2016.06.001 · DOI
- 10.1016/j.neulet.2013.08.001 · DOI
- 10.1111/cns.12536 · DOI
- 10.1038/nature01645 · DOI
- 10.1038/nrneurol.2013.209 · DOI
- 10.1016/j.cell.2009.01.038 · DOI · Paper page
- 10.1242/jcs.086421 · DOI
- 10.1016/j.jns.2008.06.007 · DOI
- 10.1111/j.1468-1331.2011.03644.x · DOI
- 10.1080/00207454.2016.1209754 · DOI
- 10.1017/S003118201400167X · DOI
- 10.1136/jnnp.2006.104695 · DOI
- 10.1016/j.parkreldis.2014.10.018 · DOI
- 10.1016/j.parkreldis.2015.11.014 · DOI · Paper page
- 10.1016/j.molcel.2010.06.010 · DOI
- 10.1002/cne.20828 · DOI
- 10.3389/fnagi.2018.00392 · DOI
- 10.3892/mmr.2015.4105 · DOI
- 10.3233/JAD-142847 · DOI · Paper page
- 10.1002/mds.27362 · DOI · Paper page
Cited by
Sorted by citations
Gong, X., Huang, M., & Chen, L. (2022) · eneuro · doi:10.1523/eneuro.0393-21.2021 · Cited by 55
Metadata
- Authors
- Yang, Z., Li, T., Li, S., Wei, M., Qi, H., Shen, B., Chang, R. C.-C., Le, W., & Piao, F.
- Affiliations
- Department of Occupational and Environmental Health, Dalian Medical University, Dalian 116044, China
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian 116021, China
- Institute for Systems Genetics, West China Hospital, Sichuan University, Chengdu 610041, China
- Laboratory of Neurodegenerative Diseases, LKS Faculty of Medicine, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China
- Venue
- ACS Chemical Neuroscience
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-02-28
- Volume
- 10
- Issue
- 5
- Pages
- 2243-2249
- ISSN
- 1948-7193
- Cited by
- 67
- References
- 4
- Language
- en
- Licence
- Funders
- Ministry of Science and Technology of the People's Republic of China (2016YFC1306603)
- National Natural Science Foundation of China (81370470, 81430021)
- Liaoning Province (LQ2017018)
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Altered Expression Levels of MicroRNA-132 and Nurr1 in Peripheral Blood of Parkinson’s Disease: Potential Disease Biomarkers. https://app.cochat.ai/papers/10.1021/acschemneuro.8b00460
- The paper
- Yang, Z., Li, T., Li, S., Wei, M., Qi, H., Shen, B., Chang, R. C.-C., Le, W., & Piao, F. (2019). Altered Expression Levels of MicroRNA-132 and Nurr1 in Peripheral Blood of Parkinson’s Disease: Potential Disease Biomarkers. ACS Chemical Neuroscience. https://doi.org/10.1021/acschemneuro.8b00460