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 multi-omics. Show all posts
Showing posts with label multi-omics. Show all posts

Friday, March 7, 2025

Nonlinear dynamics of multi-omics profiles during human aging

 

Ask your competent? doctor EXACTLY HOW MUCH AGING YOUR STROKE CAUSED! If you don't hear about your 5 lost years of brain cognition due to your stroke then you have a completely fucking incompetent doctor!

Send me hate mail on this: oc1dean@gmail.com. I'll print your complete statement with your name and my response in my blog. Or are you afraid to engage with my stroke-addled mind? No excuses are allowed! You're medically trained; it should be simple to precisely refute all my points with NO EXCUSES!! Your definition of competence in stroke is obviously much lower than stroke survivors' definition of your competence! Swearing at me is allowed, I'll return the favor. Don't even attempt to use the excuse that brain research is hard.

Nonlinear dynamics of multi-omics profiles during human aging

Abstract

Aging is a complex process associated with nearly all diseases. Understanding the molecular changes underlying aging and identifying therapeutic targets for aging-related diseases are crucial for increasing healthspan. Although many studies have explored linear changes during aging, the prevalence of aging-related diseases and mortality risk accelerates after specific time points, indicating the importance of studying nonlinear molecular changes. In this study, we performed comprehensive multi-omics profiling on a longitudinal human cohort of 108 participants, aged between 25 years and 75 years. The participants resided in California, United States, and were tracked for a median period of 1.7 years, with a maximum follow-up duration of 6.8 years. The analysis revealed consistent nonlinear patterns in molecular markers of aging, with substantial dysregulation occurring at two major periods occurring at approximately 44 years and 60 years of chronological age. Distinct molecules and functional pathways associated with these periods were also identified, such as immune regulation and carbohydrate metabolism that shifted during the 60-year transition and cardiovascular disease, lipid and alcohol metabolism changes at the 40-year transition. Overall, this research demonstrates that functions and risks of aging-related diseases change nonlinearly across the human lifespan and provides insights into the molecular and biological pathways involved in these changes.

Friday, January 10, 2025

Brain aging and rejuvenation at single-cell resolution

 How will your competent? doctor use this to recover your 5 lost years of brain cognition due to your stroke?

Brain aging and rejuvenation at single-cell resolution

Cover Image - Neuron, Volume 113, Issue 1

Summary

Brain aging leads to a decline in cognitive function and a concomitant increase in the susceptibility to neurodegenerative diseases such as Alzheimer’s and Parkinson’s diseases. A key question is how changes within individual cells of the brain give rise to age-related dysfunction. Developments in single-cell “omics” technologies, such as single-cell transcriptomics, have facilitated high-dimensional profiling of individual cells. These technologies have led to new and comprehensive characterizations of brain aging at single-cell resolution. Here, we review insights gleaned from single-cell omics studies of brain aging, starting with a cell-type-centric overview of age-associated changes and followed by a discussion of cell-cell interactions during aging. We highlight how single-cell omics studies provide an unbiased view of different rejuvenation interventions and comment on the promise of combinatorial rejuvenation approaches for the brain. Finally, we propose new directions, including models of brain aging and neural stem cells as a focal point for rejuvenation.

Keywords

  1. brain
  2. aging
  3. single-cell transcriptomics
  4. spatial transcriptomics
  5. multi-omics
  6. rejuvenation
  7. cell-cell interactions
  8. regeneration

Introduction

Aging is associated with a decline in brain function and a striking increase in the prevalence of neurodegenerative diseases, including Alzheimer’s and Parkinson’s diseases. Indeed, the main risk factor for these neurodegenerative diseases is old age. Even in the absence of disease, aging is associated with cognitive decline. In humans, aging is often characterized by decline across multiple cognitive domains such as fluid intelligence, processing speed, attention, memory, and learning. Hence, a systematic understanding of the changes that occur in the aging brain is critical to designing new strategies for countering age-related cognitive decline and neurodegenerative diseases.
In the past, most studies on brain aging have focused on select aspects, including performance on cognitive and behavioral tasks,,,, loss of synaptic plasticity and neural circuits, changes in gene expression from bulk profiling of brain tissues,,, DNA damage and repair, compromised brain metabolism, and comparisons between normal aging and neurodegenerative disease. This has provided invaluable information on how the global state of the brain changes during aging. However, the ensemble of cellular changes in the brain during aging, and how they differ in diverse brain cells, is still not fully understood. The brain is arguably the most complex of all organs, consisting of many different cell types and subtypes, with specialized functions, and with intricate interactions between cell types. For example, neurons encompass many specialized subtypes with different functions across brain regions., Non-neuronal cell types—oligodendrocytes, astrocytes, neural stem cells (NSCs), cells of the brain vasculature and meninges, and immune cells of the brain—have emerged as key players in brain aging.,,,, Thus, important questions arise: are all brain cells aging at the same pace and in the same manner? Are there shared hallmarks of aging across brain cell types or regions? How are interactions between these diverse cell types changing with age? Can specific aspects of cellular brain aging be rejuvenated by specific interventions?
The advent of single-cell omics technologies has resulted in an unprecedented wealth of data on gene expression, chromatin state, and other types of biomarkers in individual cell types. Unlike earlier single-cell-based techniques (immunohistochemistry, cell sorting, lineage tracing, etc.), single-cell omics technologies are high-dimensional and largely unbiased, capturing information across hundreds to thousands of molecular entities. High-dimensional data are powerful for machine learning modeling, notably to build “aging clocks” and for generating novel hypotheses about brain aging. Accordingly, single-cell omics technologies have been instrumental in establishing new systematic understandings of age-related changes at the cell-type level across multiple tissues and organ systems, including the brain.,,, Given the rapid development of single-cell technologies to study the diverse cell types and regions of the brain, there is a need to synthesize and understand the multitude of aging- and rejuvenation-induced changes in the brain.
Of particular interest are the interactions that occur between different cell types of the brain and how these interactions are impacted by aging. The high-dimensional nature of single-cell omics provides an opportunity to identify putative cell-cell interactions, which can be experimentally validated. The recent development of spatial technologies to profile tissues in situ at single-cell resolution provides an additional level of spatial insight that can be leveraged to identify cell-cell interactions in the context of brain aging. Spatially resolved datasets are also critical to compare aging of similar cell types but across different regions of the brain, which is particularly interesting given the highly specialized function of distinct brain regions.
An important goal for the study of brain aging is to identify avenues for rejuvenating the brain, which can slow or reverse different aspects of brain aging and cognitive decline. Several promising interventions, including physical exercise, dietary restriction, and the introduction of young circulating blood factors, have been shown to at least partially rejuvenate certain functions of the aged brain.,, With single-cell omics, the response of different cell types to diverse rejuvenation interventions and their relative contributions to functional brain rejuvenation can be investigated in a systematic manner. Importantly, such analysis should lead to a better understanding of the shared and unique pathways by which different rejuvenation interventions achieve their effects—paving the way toward identification of synergistic combinations of multiple rejuvenation interventions.
In this review, we will focus on vertebrate brain aging and rejuvenation, mostly discussing work in mice and humans. While invertebrate nervous system aging has provided key insights into brain aging and its effect on organismal lifespan,,,, the vertebrate brain contains cell types not present in invertebrates, such as endothelial cells and specialized immune cells. We will also focus on “physiological” aging rather than specific age-related pathologies, though we will highlight interesting connections between brain aging and susceptibility to injury and neurodegenerative disease.
Here, we present an overview of recent insights into brain aging and rejuvenation that have been provided by single-cell omics technologies, and we highlight promising future directions that could lead to new discoveries and interventions. We review the key aging-related changes occurring in multiple different cell types of the adult brain and describe how cell-cell interactions change during the course of aging. We discuss the emergence of single-cell omics in systematically profiling rejuvenation interventions in the brain and in comparing their effects across cell types and regions. We also consider the potential role of single-cell omics in profiling cell-type-specific and pathway-specific rejuvenation responses to develop combinatorial rejuvenation interventions. We outline shared cell-type-specific signatures between aging and disease. Finally, we discuss promising in vitro models for studying human brain aging and highlight insights from non-mammalian vertebrate species.

More at link.

Saturday, May 25, 2024

Brain Molecular Changes In PTSD and Depression Revealed

 Will your competent? doctor use this to prove you have PTSD from your stroke and thus can prescribe the correct intervention protocol?

Since there is a 23% chance of stroke survivors getting PTSD what is your doctor's treatment plan?

Maybe these?

Microbiome and Diet Could Mitigate PTSD Symptoms October 2023 

Psychoactive Ibogaine and Magnesium Show Promise for PTSD January 2024

Harnessing Psilocybin to Treat PTSD

Treating PTSD With Ecstasy? You Might Have Some Questions. May 2018

Ecstasy Was Just Labelled a 'Breakthrough Therapy' For PTSD by The FDA August 2017 

The latest here:

 

Brain Molecular Changes In PTSD and Depression Revealed

Summary: A new study reveals shared and distinct molecular changes in the brain and blood of individuals with PTSD and MDD. The research uncovers how these disorders affect various brain regions, cell types, and genomic layers, highlighting key molecular pathways and potential biomarkers.

The findings offer insights into the development of targeted treatments and real-time blood-based diagnostics. This comprehensive approach could lead to novel therapeutics for stress-related disorders.

Key Facts:

  • Multi-Omics Analysis: The study examined 231 individuals, analyzing gene and protein expression, epigenetic changes, and pathway activity across multiple brain regions and blood.
  • Distinct and Shared Changes: PTSD and MDD show both shared and distinct molecular changes, particularly affecting the medial prefrontal cortex and associated with childhood trauma and sex-specific differences.
  • Potential Biomarkers: The research supports the development of blood biomarkers for stress-related disorders, bridging the gap between brain pathology and accessible diagnostic tools.

Source: McLean Hospital

A comprehensive approach that examines the intersection of multiple biological processes is necessary to elucidate the development of stress-related disorders.

In a new study, investigators from McLean Hospital, a member of the  Mass General Brigham healthcare system, working with colleagues at The University of Texas at Austin and Lieber Institute for Brain Development, uncovered both shared and distinct molecular changes across brain regions, genomic layers, cell types, and blood in individuals with posttraumatic stress disorder (PTSD) and major depressive disorder (MDD).

These results, published May 24th in Science, could provide potential avenues for novel therapeutics and biomarkers.

“PTSD is a complex pathological condition. We had to extract information across multiple brain regions and molecular processes to capture the biological networks at play,” said first author Nikolaos P. Daskalakis, MD, PhD, director of the Neurogenomics and Translational Bioinformatics Laboratory at McLean Hospital, and an associate professor of psychiatry at Harvard Medical School.

Stress-related disorders develop over time, stemming from epigenetic modifications caused by the interplay between genetic susceptibility and traumatic stress exposure.

Previous studies have uncovered hormonal, immune, methylomic (epigenetics) and transcriptomic (RNA) factors mostly in peripheral samples contributing to these diseases, but limited access to postmortem brain tissues from diseased PTSD patients has restricted characterization of brain-based molecular changes at the appropriate scale.

“Our primary goals for this study were to interpret and integrate differential gene and protein expression, epigenetic alterations and pathway activity across our postmortem brain cohorts in PTSD, depression and neurotypical controls,” said senior author Kerry Ressler, MD, PhD, chief scientific officer and director of Division of Depression and Anxiety Disorders and Neurobiology of Fear Laboratory at McLean Hospital, and a professor of psychiatry at Harvard Medical School.

“We essentially combined circuit biology with powerful multiomics tools to delve into the molecular pathology behind these disorders.”

For this, the team analyzed multiomic data from 231 PTSD, MDD and neurotypical control subjects, along with 114 individuals from replication cohorts for differences in three brain regions — the medial prefrontal cortex (mPFC), hippocampal dentate gyrus (DG) and central nucleus of the amygdala (CeA).

They also performed single-nucleus RNA sequencing (snRNA-seq) of 118 PFC samples to study cell-type-specific patterns and evaluated blood-based proteins in more than 50,000 UK Biobank participants to isolate key biomarkers associated with stress-related disorders.

Finally, the overlap of these key brain-based disease process genes was compared with genome-wide association studies (GWAS)-based risk genes to identify PTSD and MDD risk.

PTSD and MDD individuals both shared altered gene expression and exons in the mPFC, but differed in the localization of epigenetic changes. Further analysis revealed that history of childhood trauma and suicide were strong drivers of molecular variations in both disorders.

The authors noted that MDD disease signals were more strongly associated with male-specific results, suggesting that sex differences may underlie disease risk.

Top disease-associated genes and pathways across regions, omics, and/or traits implicated biological processes in both neuronal and non-neuronal cells. These included molecular regulators and transcription factors, and pathways involved in immune function, metabolism, mitochondria function and stress hormone signaling.

“Understanding why some people develop PTSD and depression and others don’t is a major challenge,” said investigator Charles B. Nemeroff, M.D., PhD, chair of the Department of Psychiatry and Behavioral Sciences at Dell Medical School of UT Austin.

“We found that the brains of people with these disorders have molecular differences, especially in the prefrontal cortex. These changes seem to affect things like our immune system, how our nerves work, and even how our stress hormones behave.”.

The genetic components of the work built on a study published last month by researchers including Ressler and Daskalakis in Nature Genetics, in which they identified 95 locations, or loci in the genome (including 80 new) associated with PTSD. Their multi-omic analyses found 43 potential causal genes for the disorder.

The researchers now could reveal only limited overlap between the top genes and those implicated in GWAS studies, underscoring the gap in current understanding between disease risk and underlying disease processes. In contrast, they discovered greater correlations between brain multi-omics and blood markers.

“Our findings support the development of brain-informed blood biomarkers for real-time profiling,” said Daskalakis.

Ressler added, “These biomarkers could help overcome current challenges in obtaining brain biopsies for advancing new treatments.”

Limitations of the study include the inherent biases in postmortem brain research, including population selection, clinical assessment, comorbidities, and end-of-life state. The authors also caution that they did not fully characterize all cell-subtypes and cell states, and that future studies are required to understand contrasting molecular signals across omics or brain regions.

The team plans on using this database as groundwork for future analysis of how genetic factors interact with environmental variables to create downstream disease effects.

“Learning more about the molecular basis of these conditions, PTSD and MDD, in the brain paves the way for discoveries that will lead to more effective therapeutic and diagnostic tools.

“This work was possible because of the brain donations to the Lieber Institute Brain Repository from families whose loved ones died of these conditions,” said Joel Kleinman, MD, PhD, associate director of Clinical Sciences at the Lieber Institute for Brain Development.

“We hope our research will one day bring relief to individuals who struggle with these disorders and their loved ones.”

Authorship: Additional Mass General Brigham authors of the study from McLean Hospital include Artemis Iatrou, Chris Chatzinakos, Aarti Jajoo, Clara Snijders, Christopher P. DiPietro, Ioulia Tsatsani, Cameron D. Pernia, Marina Soliva-Estruch, Vincent L Holstein, Justina F. Lugenbühl, Mohammad S. E Sendi and Sabina Berretta.

Co-authors include Dennis Wylie, Chia-Yen Chen, Dhivya Arasappan, Rahul A. Bharadwaj, Leonardo Collado-Torres, Stefan Wuchty, Victor E. Alvarez, Eric B Dammer, Amy Deep-Soboslay, Duc M. Duong, Nick Eagles, Bertrand R. Huber, Louise Huuki, Μark W. Logue, Adam X. Maihofer, Mark W. Miller, Caroline M Nievergelt, Geo Pertea, Deanna Ross, Benjamin B. Sun, Ran Tao, James Tooke, Erika J. Wolf, Zane Zeier, PTSD Working Group of Psychiatric Genomics Consortium, Frances A. Champagne, Thomas Hyde, Nicholas T. Seyfried, Joo Heon Shin, Daniel R. Weinberger, Charles B. Nemeroff and Joel E. Kleinman.

Disclosures: Nikolaos P. Daskalakis is on the scientific advisory boards for BioVie Inc., Circular Genomics, Inc. and Feel Therapeutics, Inc.; Daniel R. Weinberger is on the advisory boards of Pasithea Therapeutics and Sage Therapeutics for unrelated work; Duc M. Duong is a cofounder of ARC Proteomics, and cofounder and paid consultant of Emtherapro Inc.; Chia-Yen Chen is an employee of Biogen Inc.; Mohammad S. E Sendi receives consulting fees for unrelated work from Niji Corp, Benjamin B. Sun is an employee and stockholder of Biogen Inc.; Kerry J. Ressler has received consulting income from Alkermes and sponsored research support from Brainsway and Takeda, and is on the scientific advisory boards for Janssen, Verily, and Resilience Therapeutics for unrelated work.

Funding: This work was supported by grants from NIMH, the Brain & Behavior Research Foundation,  Stichting Universitas / the Bontius Foundation, Dutch Research Council (NWO) fund and McLean Hospital.

About this genetics, mental health, and neuroscience research news

Author: Ryan Jaslow
Source: McLean Hospital
Contact: Ryan Jaslow – McLean Hospital
Image: The image is credited to Neuroscience News

Tuesday, July 18, 2023

Study suggests anxiety increases the risk of subsequent cognitive progression in non-dementia elderly

Every stroke patient in the world has full blown anxiety about recovering. Yet no doctor in the world has one fucking clue about getting you to 100% recovery, thus preventing your anxiety and cognitive decline. If your doctor knows nothing about 100% recovery; RUN AWAY!

 

Study suggests anxiety increases the risk of subsequent cognitive progression in non-dementia elderly

In a recent study published in eBioMedicine, researchers investigate the effects of anxiety on cognitive degeneration in non-dementia elderly. To this end, a multi-omics approach was used to elucidate the biological mechanisms contributing to cognitive impairment.

The current study found that anxiety accelerates cognitive impairment in non-dementia elderly. More specifically, anxiety contributed to mitochondrial energy imbalances and destructively altered axon/synapse pathways, thereby leading to late-life cognitive progression.

Study: Anxiety adds the risk of cognitive progression and is associated with axon/synapse degeneration among cognitively unimpaired older adults. Image Credit: Perfect Wave / Shutterstock.com

Anxiety and dementia

Dementia is an umbrella term used to describe cognitive conditions that impair at least two brain functions, especially memory, and judgment. As of 2020, almost 55 million people worldwide had dementia, with that number expected to double every 20 years. Alzheimer's disease (AD) is the most common form of dementia in the elderly, as it affects 60-70% of dementia patients over the age of 65.

AD is identified by hyperphosphorylated tau (p-tau) protein upregulation and increased extracellular amyloid beta (Aβ) deposition. To date, there is no cure for AD.

The link between mental health and preclinical AD has been increasingly investigated, as previous studies have shown that depression increases the risk of dementia. Depression and anxiety often co-occur; however, the independent association of anxiety with dementia has not been fully evaluated.

Previous studies indicate certain associations that exist between anxiety and mild cognitive impairment (MCI). For example, anxiety has been shown to upregulate Aβ deposition and alter cerebrospinal fluid (CSF) total tau (t-tau) in non-dementia elderly.

While previous literature has been restricted to meta-analyses or small, low-sample-sized cross-sectional studies, the present large longitudinal cohort study utilized a multi-omics approach to elucidate the association between anxiety and AD, as well as the biological mechanisms responsible for these processes.

About the study

In the present study, researchers selected individuals from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), Alzheimer's Disease Neuroimaging Initiative (ADNI), and Shanghai Mental Health Center (SMHC) cohorts as participants in the study.

ADNI participation initially comprised 2,272 individuals between the ages of 55 and 90, 1,070 of whom were selected for the study after cognitive screening. The cohort was divided into two groups, 260 of whom reported anxiety symptoms and 810 individuals without anxiety symptoms, who were denoted as the anxiety and normal groups, respectively.

All participants underwent a Functional Activities Questionnaire (FAQ), Mini-Mental State Examination (MMSE), ADNI Memory test (ADNI-MEM), and Alzheimer's Disease Assessment Scale-cognitive test (ADAS-cog). This long-term test involved follow-up visits with cohort members for up to 168 months, during which periodic CSF and blood collections were obtained for multi-omics investigations.

The CLHLS cohort comprised the validation dataset of this study. Of the 6,389 participants in this cohort, 737 reported chronic anxiety and formed the 'anxiety' group, whereas the remaining 5,652 individuals were placed in the 'normal' group.

For cognitive validation, 732 anxious and 1,464 normal elderly were administered the Chinese Mini-Mental State Examination (CMMSE). Similar to the ADNI study, follow-up visits with were conducted for up to 204 months.

SMHC participants formed the neuroimaging dataset and comprised 99 participants. Of these, 37 individuals were placed in the anxiety group, with 62 in the normal group.

Study findings

The present study elucidated the association between anxiety and cognitive progression among the elderly. Male participants were more susceptible to anxiety and exhibited more significant cognitive impairment and reduced quality of life than females. In both test and validation cohorts, individuals in the ADNI and CLHLS anxiety groups were at a 158% and 123% greater risk, respectively, than participants in the normal group.

Proteomics analyses revealed that anxiety activates synapse pathways associated with signaling, organization, transport regulation, and axon development. Anxiety also triggered biological mechanisms that have been associated with various degenerative diseases, including amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), and schizophrenia.

Transcriptomics results were identical to proteomics results, thus emphasizing the correlation between anxiety and an increased risk of cognitive decline in non-dementia elderly.

The joint analysis of transcriptomics and proteomics identified the most influential variables, including the ATP6V1G2 gene, CYP1A2 and APOB proteins involved in the energy metabolism, and the MYNN, WARS2, and CAMP genes, BASP1 and NGF proteins involved in brain function."

Energy metabolism results from the ADNI group showed that anxiety can cause significant imbalances in the normal functioning of the mitochondrial machinery. Anxiety was found to suppress oxidative phosphorylation, mitochondrial respiratory chain complex assembly, aerobic respiration, and mitochondrial ribosome activity, including biogenesis, ribonucleic acid (RNA) processing, and translation.

Conclusion

In the present long-term, multi-cohort study, researchers investigated the association between anxiety and cognitive progression, especially in aged non-dementia-positive individuals. Multi-omics analyses revealed that anxiety significantly increases the risk of mental degeneration through biological pathways that damage or suppress normal axon/synapse functioning.

Treating anxiety and targeting mitochondrial dysfunction may be an effective way to prevent dementia."

Journal reference:

Sunday, August 28, 2016

Critical periods after stroke study: translating animal stroke recovery experiments into a clinical trial

Sorry, but this is just tweaking the 10% full recovery rate using standard rehab. We need something much more innovative like maybe solving the neuronal cascade of death by these 5 causes in the first week and preventing that damage that there would be much less dead and damaged neurons. A great stroke association president would make sure we are following the best stroke strategy that addresses the complete problems in stroke.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4413691/

Abstract

Introduction: Seven hundred ninety-five thousand Americans will have a stroke this year, and half will have a chronic hemiparesis. Substantial animal literature suggests that the mammalian brain has much potential to recover from acute injury using mechanisms of neuroplasticity, and that these mechanisms can be accessed using training paradigms and neurotransmitter manipulation. However, most of these findings have not been tested or confirmed in the rehabilitation setting, in large part because of the challenges in translating a conceptually straightforward laboratory experiment into a meaningful and rigorous clinical trial in humans. Through presentation of methods for a Phase II trial, we discuss these issues and describe our approach.
Methods: In rodents there is compelling evidence for timing effects in rehabilitation; motor training delivered at certain times after stroke may be more effective than the same training delivered earlier or later, suggesting that there is a critical or sensitive period for strongest rehabilitation training effects. If analogous critical/sensitive periods can be identified after human stroke, then existing clinical resources can be better utilized to promote recovery. The Critical Periods after Stroke Study (CPASS) is a phase II randomized, controlled trial designed to explore whether such a sensitive period exists. We will randomize 64 persons to receive an additional 20 h of upper extremity therapy either immediately upon rehab admission, 2–3 months after stroke onset, 6 months after onset, or to an observation-only control group. The primary outcome measure will be the Action Research Arm Test (ARAT) at 1 year. Blood will be drawn at up to 3 time points for later biomarker studies.
Conclusion: CPASS is an example of the translation of rodent motor recovery experiments into the clinical setting; data obtained from this single site randomized controlled trial will be used to finalize the design of a Phase III trial.
Keywords: stroke rehabilitation, cerebrovascular disorders, critical period, motor recovery, multi-omics, adaptive randomization

Background

Using animal models of stroke, substantial scientific progress has been made in the understanding of the neural substrates of recovery after brain injury. Experimental studies of motor training after injury show that motor function can be improved significantly when a number of recovery and training variables are controlled. The experiment of Biernaskie et al. (2004) has been particularly intriguing given the finding of a sensitive period after experimental stroke in which rodents are most responsive to motor training in a specific time window soon after stroke. This finding has provoked much discussion in the stoke rehabilitation research community, since of course one wants to rehabilitate stroke patients at the time after stroke when therapies can be most effective. In this paper, we discuss the challenges faced by clinical trialists in translating a conceptually straightforward rodent experiment into a stroke rehabilitation clinical trial. We present our methods for the Critical Periods after Stroke Study (CPASS) as one example of the choices that can be made in testing whether promising findings in rodents have relevance in rehabilitation of patients with stroke.
The CPASS trial is designed to translate important findings from the rodent motor recovery literature into the human clinical trial setting. Adapting the critical elements of the rodent studies to the stroke rehabilitation setting requires a series of decisions and accommodations. In this paper, we review and discuss these considerations and how we have addressed them. Where possible we have retained essential elements of the rodent studies, including manipulation of intervention timing, randomization, standardized motor training paradigm based on a highly salient reward, and the use of motor performance measures. Data obtained from this randomized controlled trial will be used to formulate more effective treatments to better focus on the needs of individuals with stroke.

More at link.