Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label researcher. Show all posts
Showing posts with label researcher. Show all posts

Monday, May 9, 2022

Fully Natural Lecithin Encapsulated Nano-Resveratrol for Anti-Cancer Therapy

 You can check out why your doctor should be prescribing resveratrol in these.

Your stroke researcher should immediately be figuring out how this can be applied to stroke rehab.

Fully Natural Lecithin Encapsulated Nano-Resveratrol for Anti-Cancer Therapy

Authors Liang M, Guo M, Saw PE , Yao Y 

Received 22 February 2022

Accepted for publication 22 April 2022

Published 6 May 2022 Volume 2022:17 Pages 2069—2078

DOI https://doi.org/10.2147/IJN.S362418

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Yan Shen



Meiyi Liang,1,2,* Mingyan Guo,1,3,* Phei Er Saw,1,4 Yandan Yao1,2,5

1Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People’s Republic of China; 2Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People’s Republic of China; 3Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People’s Republic of China; 4Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People’s Republic of China; 5Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, 516621, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Yandan Yao; Phei Er Saw, Email yaoyand@mail.sysu.edu.cn; caipeie@mail.sysu.edu.cn

Introduction: Chemotherapeutics are known to have undesirable side effects (i.e. nausea, weight loss, hair loss, weakened immune system, etc.) due to the non-specificity of the drugs. Encapsulation of these chemotherapeutics inside nanoparticles significantly improves the bioavailability and half-life of drugs, while increasing their tumor penetration and localization. However, most, if not all, nanoparticles in clinics or research are synthetic, with no long-term studies on the effect of these nanoparticles in vivo. Herein, we developed a synergistic resveratrol nanoparticle system by using lecithin encapsulation. Lecithin, being a fully natural phospholipid derived from soybean, possesses inherent anti-tumor activity.
Methods: Lec(RSV) was successfully prepared using the nanoprecipitation method, and characterized by particle size and zeta potential analysis, and transmission electron microscopy (TEM). The in vitro cellular uptake and cytotoxic effects of Lec(RSV) were investigated in human breast cancer cell line BT474. Finally, the in vivo tumoral uptake of Lec(RSV) was carried out in the BT474 orthotopic model.
Results: Lec(RSV) showed a uniform distribution of ∼ 120 nm, with prolonged stability. Lec(RSV) showed high cellular uptake and anti-cancer properties in vitro. Time-dependent uptake in the BT474 xenograft model indicated an increased tumoral uptake and apoptosis rate at 4 hours after tail vein injection of Lec(RSV).
Conclusion: Taken together, we successfully developed a fully natural Lec(RSV) that possesses potent anti-cancer activity in vitro, with good tumoral uptake in vivo. We hypothesize that Lec(RSV) could be a safe anti-cancer therapeutic that could be easily translated into clinical application.

 

Wednesday, December 16, 2020

Statistical Considerations for Drawing Conclusions About Recovery

 So our researchers know nothing about what their research says.

Statistical Considerations for Drawing Conclusions About Recovery

 
First Published December 14, 2020 Research Article 

Numerous studies have found associations when change scores are regressed onto initial impairments in people with stroke (slopes ≈ 0.7). However, there are important statistical considerations that limit the conclusions we can draw about recovery from these studies.

To provide an accessible checklist of conceptual and analytical issues on longitudinal measures of stroke recovery. Proportional recovery is an illustrative example, but these considerations apply broadly to studies of change over time.

Using a pooled data set of n = 373 Fugl-Meyer Assessment upper extremity scores, we ran simulations to illustrate 3 considerations: (1) how change scores can be problematic in this context; (2) how “nil” and nonzero null-hypothesis significance tests can be used; and (3) how scale boundaries can create the illusion of proportionality, whereas other analytical procedures (eg, post hoc classifications) can augment this problem.

Our simulations highlight several limitations of common methods for analyzing recovery. We find that uniform recovery leads to similar group-level statistics (regression slopes) and individual-level classifications (into fitters and nonfitters) that have been claimed as evidence for the proportional recovery rule. New analyses, however, also speak to the complexities in variance about the regression slope.

Our results highlight that one cannot identify whether proportional recovery is true or not based on commonly used methods. We illustrate how these techniques, measurement tools, and post hoc classifications (eg, nonfitters) can create spurious results. Going forward, the field needs to carefully consider the influence of these factors on how we measure, analyze, and conceptualize recovery.

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