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.

Sunday, February 1, 2026

Which metabolites most strongly predict type 2 diabetes risk beyond traditional factors

Your competent? doctor needs to know everything about diabetes prevention because this:

People with diabetes have a higher risk of stroke, and stroke can also lead to new or worsening diabetes.

Anti-Diabetic Drugs May Boost Stroke Recovery Outcomes March 2024 


Type 2 Diabetes Linked to Brain Thinning

The latest here:

 Which metabolites most strongly predict type 2 diabetes risk beyond traditional factors

Key Points
  • 44-metabolite plasma signature → ~5× T2D risk (top vs bottom decile)
  • Signature improves prediction beyond clinical risk factors
  • ↑ risk: BCAA, aromatic AAs, alanine, glutamate, mannose, TAG/DAG, ceramides
  • ↓ risk: glycine, glutamine, betaine, indolepropionate, lyso-phosphatidylcholines
  • Per-metabolite HRs range ~1.1–2.6 (risk) and ~0.7–0.9 (protection)
Most informative predictors come from amino acids, carbohydrate/energy metabolites, and specific lipid classes measured in large prospective cohorts. Key multimetabolite signatures Plasma 44-metabolite panel (Nature Medicine) In
23,000 adults without baseline diabetes, a 44-metabolite blood signature predicted incident type 2 diabetes (T2D) with AUC 0.62–0.86 across independent cohorts and conferred ~5-fold higher risk in the top vs bottom decile (risk ratio 5.07, 95% CI 4.02–6.39).1 This signature improved risk prediction beyond traditional clinical factors (BMI, lifestyle, etc.).1 Individual metabolite classes most strongly linked to T2D risk Based on a meta-analysis of 61 prospective reports (71,196 participants; 11,771 T2D cases; 412 metabolites analyzed):2 Metabolites associated with higher T2D risk (HR ≈1.07–2.58 per SD): - Amino acids - Branched-chain AAs: leucine, isoleucine, valine - Aromatic AAs: phenylalanine, tyrosine - Others: alanine, glutamate, lysine, methionine2 - Carbohydrate/energy-related metabolites - Mannose, trehalose, pyruvate2 - Acylcarnitines - C4-DC, C4-OH, C5, C5-OH, C8:12 - Lipid species - Most glycerolipids (diacylglycerols, triacylglycerols) - (Lyso)phosphatidylethanolamines - Ceramides2 Metabolites associated with lower T2D risk (HR ≈0.69–0.90 per SD): - Amino acids and related: glycine, glutamine, betaine2 - Microbial/tryptophan-derived: indolepropionate2 - Lipid species: multiple (lyso)phosphatidylcholines2 Interpretation for risk stratification These metabolites collectively reflect insulin resistance, β‑cell stress, ectopic fat, and hepatic dysfunction, and, when combined into multi-metabolite scores, materially enhance discrimination of future T2D beyond standard clinical models.1,2 

References at link.

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