The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Resveratrol treatment rescues neurovascular coupling in aged mice: role of improved cerebromicrovascular endothelial function and downregulation of NADPH oxidase
Open accessAbstract
Moment-to-moment adjustment of cerebral blood flow (CBF) to neuronal activity via neurovascular coupling is essential for the maintenance of normal neuronal function. Increased oxidative stress that occurs with aging was shown to impair neurovascular coupling, which likely contributes to a significant age-related decline in higher cortical function, increasing the risk for vascular cognitive impairment. Resveratrol is a polyphenolic compound that exerts significant antiaging protective effects in large vessels, but its effects on the cerebromicrovasculature remain poorly defined. The present study was undertaken to investigate the capacity of resveratrol to improve neurovascular coupling in aging. In aged (24-mo-old) C57BL/6 mice N ω-nitro-l-arginine methyl ester-sensitive, nitric oxide-mediated CBF responses to whisker stimulation and to the endothelium-dependent dilator acethylcholine (ACh) were impaired compared with those in young (3-mo-old) mice. Treatment of aged mice with resveratrol rescued neurovascular coupling and ACh-induced responses, which was associated with downregulation of cortical expression of NADPH oxidase and decreased levels of biomarkers of oxidative/nitrative stress (3-nitrotyrosine, 8-isoprostanes). Resveratrol also attenuated age-related increases in reactive oxygen species (ROS) production in cultured cerebromicrovascular endothelial cells (DCF fluorescence, flow cytometry). In conclusion, treatment with resveratrol rescues cortical neurovascular coupling responses to increased neuronal activity in aged mice, likely by restoring cerebromicrovascular endothelial function via downregulation of NADPH oxidase-derived ROS production. Beneficial cerebromicrovascular effects of resveratrol may contribute to its protective effects on cognitive function in aging.
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
Glial and neuronal control of brain blood flow
Attwell, D., Buchan, A. M., Charpak, S., Lauritzen, M., MacVicar, B. A., & Newman, E. A. (2010) · Nature · doi:10.1038/nature09613 · Cited by 2,511
Salminen, A., Ojala, J., Kaarniranta, K., Haapasalo, A., Hiltunen, M., & Soininen, H. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07738.x · Cited by 333
Park, L., Zhou, P., Pitstick, R., Capone, C., Anrather, J., Norris, E. H., Younkin, L., Younkin, S., Carlson, G., McEwen, B. S., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0711568105 · Cited by 332
Nox2-Derived Reactive Oxygen Species Mediate Neurovascular Dysregulation in the Aging Mouse Brain
Park, L., Anrather, J., Girouard, H., Zhou, P., & Iadecola, C. (2007) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600491 · Cited by 275
Park, L., Anrather, J., Zhou, P., Frys, K., Pitstick, R., Younkin, S., Carlson, G. A., & Iadecola, C. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.5207-04.2005 · Cited by 244
Age-dependent rescue by simvastatin of Alzheimer’s disease cerebrovascular and memory deficits
Tong, X.-K., Lecrux, C., & Hamel, E. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0169-12.2012 · Cited by 160
Liu, G.-S., Zhang, Z.-S., Yang, B., & He, W. (2012) · Life Sciences · doi:10.1016/j.lfs.2012.08.033 · Cited by 82
Cited by
Ungvari, Z., Tarantini, S., Donato, A. J., Galvan, V., & Csiszar, A. (2018) · Circulation Research · doi:10.1161/circresaha.118.311378 · Cited by 919
Self-citationHypertension-induced cognitive impairment: From pathophysiology to public health
Ungvari, Z., Toth, P., Tarantini, S., Prodan, C. I., Sorond, F., Merkely, B., & Csiszar, A. (2021) · Nature Reviews Nephrology · doi:10.1038/s41581-021-00430-6 · Cited by 544
Self-citationToth, P., Tarantini, S., Csiszar, A., & Ungvari, Z. (2017) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00581.2016 · Cited by 522
Self-citationTarantini, S., Tran, C. H. T., Gordon, G. R., Ungvari, Z., & Csiszar, A. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2016.11.004 · Cited by 411
Self-citationTucsek, Z., Toth, P., Tarantini, S., Sosnowska, D., Gautam, T., Warrington, J. P., Giles, C. B., Wren, J. D., Koller, A., Ballabh, P., et al. (2014) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glu080 · Cited by 191
Self-citationZimmerman, B., Rypma, B., Gratton, G., & Fabiani, M. (2021) · Psychophysiology · doi:10.1111/psyp.13796 · Cited by 179
Toth, P., Tarantini, S., Springo, Z., Tucsek, Z., Gautam, T., Giles, C. B., Wren, J. D., Koller, A., Sonntag, W. E., Csiszar, A., et al. (2015) · Aging Cell · doi:10.1111/acel.12315 · Cited by 163
Self-citationKiss, T., Nyúl-Tóth, Á., Balasubramanian, P., Tarantini, S., Ahire, C., Yabluchanskiy, A., Csipo, T., Farkas, E., Wren, J. D., Garman, L., et al. (2020) · GeroScience · doi:10.1007/s11357-020-00165-5 · Cited by 163
Self-citationFekete, M., Szarvas, Z., Fazekas-Pongor, V., Feher, A., Csipo, T., Forrai, J., Dosa, N., Peterfi, A., Lehoczki, A., Tarantini, S., et al. (2022) · Nutrients · doi:10.3390/nu15010047 · Cited by 137
Self-citationMetabolic effects of resveratrol: Addressing the controversies
Bitterman, J. L., & Chung, J. H. (2015) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-014-1808-8 · Cited by 109
Ungvari, Z., Tarantini, S., Hertelendy, P., Valcarcel-Ares, M. N., Fülöp, G. A., Logan, S., Kiss, T., Farkas, E., Csiszar, A., & Yabluchanskiy, A. (2017) · GeroScience · doi:10.1007/s11357-017-9964-z · Cited by 101
Self-citationTarantini, S., Tucsek, Z., Valcarcel-Ares, M. N., Toth, P., Gautam, T., Giles, C. B., Ballabh, P., Wei, J. Y., Wren, J. D., Ashpole, N. M., et al. (2016) · AGE · doi:10.1007/s11357-016-9931-0 · Cited by 98
Self-citationCsiszar, A., Tarantini, S., Fülöp, G. A., Kiss, T., Valcarcel-Ares, M. N., Galvan, V., Ungvari, Z., & Yabluchanskiy, A. (2017) · GeroScience · doi:10.1007/s11357-017-9991-9 · Cited by 93
Self-citationLourenço, C. F., & Laranjinha, J. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.729201 · Cited by 85
Tarawneh, R. (2023) · Biomolecules · doi:10.3390/biom13050830 · Cited by 29
Metadata
- Authors
- Toth, P., Tarantini, S., Tucsek, Z., Ashpole, N. M., Sosnowska, D., Gautam, T., Ballabh, P., Koller, A., Sonntag, W. E., Csiszar, A., & Ungvari, Z.
- Venue
- American Journal of Physiology-Heart and Circulatory Physiology
- Publisher
- American Physiological Society
- Published
- 2014-02-01
- Volume
- 306
- Issue
- 3
- Pages
- H299-H308
- ISSN
- 0363-6135 (ISSN-L)
- 1522-1539
- OpenAlex
- W2006496068
- Cited by
- 200
- References
- 7
- FWCI
- 3.72
- Type
- journal article
- Language
- en
- Open access
- green
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.
