I want to learn this
python -m markitdown "/home/daytona/workspace/attachments/f55f96e4-3fa6-4c8f-a007-b6235b2795c0/Muscle Plasticity (1).pptx"
cd "/home/daytona/workspace/attachments/f55f96e4-3fa6-4c8f-a007-b6235b2795c0" && python3 -c " from pptx import Presentation prs = Presentation('Muscle Plasticity (1).pptx') for i, slide in enumerate(prs.slides): print(f'=== SLIDE {i+1} ===') for shape in slide.shapes: if hasattr(shape, 'text') and shape.text.strip(): print(shape.text) print() "
pip install python-pptx --quiet && python3 -c " from pptx import Presentation prs = Presentation('/home/daytona/workspace/attachments/f55f96e4-3fa6-4c8f-a007-b6235b2795c0/Muscle Plasticity (1).pptx') for i, slide in enumerate(prs.slides): print(f'=== SLIDE {i+1} ===') for shape in slide.shapes: if hasattr(shape, 'text') and shape.text.strip(): print(shape.text) print() "
python3 -c " from pptx import Presentation from pptx.util import Inches, Pt import pptx.oxml.ns as ns from lxml import etree prs = Presentation('/home/daytona/workspace/attachments/f55f96e4-3fa6-4c8f-a007-b6235b2795c0/Muscle Plasticity (1).pptx') print(f'Total slides: {len(prs.slides)}') print(f'Slide width: {prs.slide_width.inches:.1f} in, height: {prs.slide_height.inches:.1f} in') for i, slide in enumerate(prs.slides): print(f'\n=== SLIDE {i+1} ===') for j, shape in enumerate(slide.shapes): print(f' Shape {j}: type={shape.shape_type}, name={shape.name}', end='') if hasattr(shape, 'text'): t = shape.text.strip() if t: print(f', text={repr(t[:100])}', end='') print() # Check for grouped shapes if shape.shape_type == 6: # GROUP for k, sub in enumerate(shape.shapes): print(f' SubShape {k}: type={sub.shape_type}, name={sub.name}', end='') if hasattr(sub, 'text') and sub.text.strip(): print(f', text={repr(sub.text.strip()[:100])}', end='') print() " 2>/dev/null | head -200
mkdir -p /home/daytona/workspace/muscle-plasticity/images && python3 -c " from pptx import Presentation import os prs = Presentation('/home/daytona/workspace/attachments/f55f96e4-3fa6-4c8f-a007-b6235b2795c0/Muscle Plasticity (1).pptx') out = '/home/daytona/workspace/muscle-plasticity/images' for i, slide in enumerate(prs.slides): for shape in slide.shapes: if shape.shape_type == 13: # PICTURE img = shape.image ext = img.ext with open(f'{out}/slide_{i+1:02d}.{ext}', 'wb') as f: f.write(img.blob) print(f'Slide {i+1}: saved as slide_{i+1:02d}.{ext}') " 2>/dev/null
Muscle → Fascicles → Muscle fibers (cells) → Myofibrils → Thick & thin filaments
| Property | Type I (Slow oxidative) | Type IIa (Fast oxidative-glycolytic) | Type IIb (Fast glycolytic) |
|---|---|---|---|
| Fiber & motor unit size | Small | Intermediate | Large |
| Mitochondria & capillaries | Many | Many | Few |
| Myoglobin content | High (red) | High (red) | Low (white) |
| Glycogen content | Low | Intermediate | High |
| Main ATP source | Oxidative phosphorylation | Oxidative phosphorylation | Anaerobic glycolysis |
| Glycolytic enzyme activity | Low | Intermediate | High |
| Rate of fatigue | Slow | Intermediate | Fast |
| Myosin ATPase activity | Low | High | High |
| Contractile speed | Slow | Fast | Fast |
| Examples | Postural muscles of back | Major muscles of legs | Extraocular eye muscles |
| Best for | Long-distance running | 400m/800m | Short sprints |
Indirect electrical stimulation with tonic, low frequency current converts fast-twitch muscle into slow-twitch muscle.
| Study | Model | Key Finding |
|---|---|---|
| Trumble, Duan & Magovern | Rabbit latissimus dorsi, 6 or 12 weeks CLFS | Stimulation improved endurance capacity; increased % CSA occupied by slow-twitch oxidative, type I collagen and fibrillin; both fibre type expression and ECM remodeling altered |
| Bruton (2002) | Literature review | Muscle has adaptive potential to training & detraining; genotype may determine the phenotypic response to exercise |
| Lotri-Koffi et al (2019) | Mouse model, NMES vs sham, 2.5 weeks | NMES increased muscle mass and improved insulin sensitivity; NMES useful in chronic disease |
| Tsutaki, Ogasawara et al (2013) | Rat gastrocnemius, HFS (100 Hz) vs LFS (10 Hz) | LFS recruits type II fibers independently of frequency; electrical stimulation without high force generation causes muscle hypertrophy; applicable to sports conditioning and clinical care for muscle atrophy |
| Pette & Vrbová (2017) | Review | All essential components of muscle fibre undergo reversible transformation from fast-to-slow phenotype via changes in metabolic properties, contractile protein profiles, and Ca²⁺-regulatory systems |
| Schnyder, Kupr & Handschin (2017) | Mini-review on coregulators | Coregulators are potent regulators of metabolic and myofibrillar plasticity; HDAC inhibition enhances muscle endurance and improves lipid/glucose handling |
| Nuhr, Pette et al (2004) | CHF patients, CLFS of thigh muscles | CLFS counteracts detrimental skeletal muscle changes in heart failure and increases exercise capacity |
| Question | Answer |
|---|---|
| Who coined "Plasticity of Muscle"? | John Eccles, 1979 |
| What does CLFS do to fast-twitch muscle? | Converts it to slow-twitch phenotype |
| How long does full transformation take? | ~8 weeks (with 8-24 h/day stimulation) |
| What is the first change observed? | SR membrane swelling within 2-3 hours |
| When do mitochondria increase? | Within 2-12 days |
| What happens to myosin at 28 days? | Fast light chains (LC1f, LC2f, LC3f) → slow (LC1s, LC2s); phenotype shifts |
| What does Z band width indicate? | Full width = complete fast-to-slow transformation |
| What causes Slow → Fast shift? | Immobilization, bed rest, hypoxia, microgravity, denervation |
| Clinical application? | Counteract muscle atrophy in heart failure, insulin resistance, aging, disuse |