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Machine learning identifies stroke features between species
Conclusion: Our findings reveal that the segmentation produced by our proposed framework using 24 h MRI rat data strongly correlated with the final stroke volume, denoting a predictive effect. In addition, we show for the first time that the stroke imaging features can be directly translated between species, allowing identification of acute stroke in humans using the model trained on animal data. This discovery reduces the gap between the clinical and preclinical fields, unveiling a novel approach to directly co-analyze clinical and preclinical data. Such methods can provide further biological insights into human stroke an...
Source: Theranostics - January 15, 2021 Category: Molecular Biology Authors: Salvador Castaneda-Vega, Prateek Katiyar, Francesca Russo, Kristin Patzwaldt, Luisa Schnabel, Sarah Mathes, Johann-Martin Hempel, Ursula Kohlhofer, Irene Gonzalez-Menendez, Leticia Quintanilla-Martinez, Ulf Ziemann, Christian la Fougere, Ulrike Ernemann, Tags: Research Paper Source Type: research

Prediction of post-stroke cognitive impairment using brain FDG PET: deep learning-based approach
CONCLUSION: The DL-based cognitive signature using FDG PET was successfully transferred to an independent stroke cohort. It is suggested that DL-based cognitive evaluation using FDG PET could be utilized as an objective biomarker for cognitive dysfunction in patients with cerebrovascular diseases.PMID:34599654 | DOI:10.1007/s00259-021-05556-0
Source: Molecular Medicine - October 2, 2021 Category: Molecular Biology Authors: Reeree Lee Hongyoon Choi Kwang-Yeol Park Jeong-Min Kim Ju Won Seok Source Type: research

Electroacupuncture ameliorates post-stroke learning and memory through minimizing ultrastructural brain damage and inhibiting the expression of MMP-2 and MMP-9 in cerebral ischemia-reperfusion injured rats.
Authors: Lin R, Yu K, Li X, Tao J, Lin Y, Zhao C, Li C, Chen LD Abstract The aim of the present study was to investigate the potential neuroprotective effects of electroacupuncture (EA) in the treatment of cerebral ischemia/reperfusion (I/R) injury, and to elucidate the association between this neuroprotective effect and brain ultrastructure and expression of matrix metalloproteinase (MMP)‑2 and 9. Rats underwent focal cerebral I/R injury by arterial ligation and received in vivo therapeutic EA at the Baihui (DU20) and Shenting (DU24) acupoints. The therapeutic efficacy was then evaluated following the surgery....
Source: Molecular Medicine Reports - May 15, 2016 Category: Molecular Biology Tags: Mol Med Rep Source Type: research

Theaflavin attenuates cerebral ischemia/reperfusion injury by abolishing miRNA ‑128‑3p‑mediated Nrf2 inhibition and reducing oxidative stress.
Theaflavin attenuates cerebral ischemia/reperfusion injury by abolishing miRNA‑128‑3p‑mediated Nrf2 inhibition and reducing oxidative stress. Mol Med Rep. 2019 Oct 17;: Authors: Li R, Li X, Wu H, Yang Z, Fei L, Zhu J Abstract Theaflavin has been proven to own strong antioxidative capacity; however, the molecular mechanism underlying its protective effect against cerebral ischemia‑reperfusion (I/R) injury remains unclear. Therefore, the present study was designed to elucidate the neuroprotective effects of theaflavin on cerebral I/R injury and its underlying molecular mechanisms. To investigate ...
Source: Molecular Medicine Reports - October 24, 2019 Category: Molecular Biology Tags: Mol Med Rep Source Type: research

Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids
Conclusions: The circulating miRNA profile complements conventional risk factors to identify specific cardiovascular risk patterns among patients receiving maintenance HD.
Source: Theranostics - October 3, 2020 Category: Molecular Biology Authors: David de Gonzalo-Calvo, Pablo Mart í nez-Camblor, Christian B ä r, Kevin Duarte, Nicolas Girerd, Bengt Fellstr ö m, Roland E. Schmieder, Alan G. Jardine, Ziad A. Massy, Hallvard Holdaas, Patrick Rossignol, Faiez Zannad, Thomas Thum Tags: Research Paper Source Type: research

Image-to-Images Translation for Multiple Virtual Histological Staining of Unlabeled Human Carotid Atherosclerotic Tissue
ConclusionsThe proposed approach allows for the virtual staining of unlabeled human carotid plaque tissue images with multiple types of stains. In addition, it identifies the histopathological features of atherosclerotic plaques in the same tissue sample, which could facilitate the development of personalized prevention and other interventional treatments for carotid atherosclerosis.
Source: Molecular Imaging and Biology - October 7, 2021 Category: Molecular Biology Source Type: research