Modern molecular biology and the prediction of human physiology, disease and performance Flashcards
-Discuss the principles and application of Western blot and immunofluorescence analysis -Explain the concept and principles underlying ‘omics’ analyses -Understand how ‘omic’ approaches can facilitate understanding of adaptation to activity – Including examples from recent literature
What is ‘omics’?
“ome” and “omics” are suffixes that are derived from genome (as a combination of “gene” and “chromosome”) and genomics (the study of the genome)
Why use ‘omic’ analyses?
o WB, RT-PCR, IF etc. are reductionist approaches:
Permit examination of a VERY limited number of molecules
o However, MANY genes/ proteins might co-vary with (e.g.) muscular adaptation to exercise
o ‘omic’ analyses allow expression changes in hundreds-thousands of molecules to be assessed at once Provides a global (holistic) approach far beyond what is known of a limited number of well-defined molecules
o Might facilitate identification of novel biomarkers regulating (patho)physiological processes
Can exercise be viewed as medicine?
o Susruta (600 B.C.) advocates exercise to restore equilibria between the humors
o Hippocrates (400 B.C.) “If there is any deficiency in food and exercise the body will fall sick.”
o Yuri Gagaran (1961) orbits Earth and functional incapacity observed with reduced gravity
o Yes, in that drugs have variable inter-individual efficacy and side-effect profiles
i.e. some are ‘responders’ and some are ‘non-responders’
Drug delivery programmes tailored to the individual
o Exercise should be ‘prescribed’ in the same manner
Which behaviours are most important for you?
o Non-smoking? NO
o Maintenance of body mass appropriate for height (BMI < 21 units per week)? NO
o Regular ‘physical exercise’ (150 min aerobic exercise/wk)? YES
o A diet low in fat & high in plant foods? NO
o Light to moderate alcohol intake (< 21 units per week)? NO
“It is much more important to know what kind of patient has a disease, than to know what kind of disease a patient has” Caleb Parry (Bath, UK, 1755-1822). What did Parry mean?
o 150 min/wk of exercise training produces NON-responders
o Every exercise intervention study has low or adverse responders…
o No training effect with undertraining, proves…?
o No double BL testing
o Arbitrary criteria for training response
o Expected non-responder frequency with 1st round of training that ‘disappears’ with 4-5 x per week
Contradicts all other studies
Selected population bias?
o Thus, the MEAN control of exercise gains are not always what they might seem…
Why was there no difference for any baseline values or no relationship between baseline physiological variable & magnitude of change observed for any parameter?
Influence of hereditary factors
DNA sequence – what’s the most we can expect to learn?
o Physiological capacity?
Delta VO2max ~60% ‘genetic’ (HERITAGE)
Insulin Sensitivity ~40% ‘genetic’ (HERITAGE)
o Performance?
Knee extension ~50% genetic (154,970 sibling pairs, Silventoinen et al. 2008)
Rodent endurance ~50% genetic contribution
What pathways determine VO2max responses to training?
o Higher responders for muscle hypertrophy ‘activate’ an ‘anti-growth’ signature!!!
o Specifically, many rRNAs are down-regulated in human high gainers for lean mass
o New insights – potential role of microRNAs (miR)
89 men and women performed 16 wk diet and exercise intervention
High-responders (>10 % BM loss) and low-responders (<5% BM loss) identified
Circulating miR-935 and miR-140 increased only in low responders
These miR’s target genes associated with energy expenditure/ metabolism
So, what are the implications for exercise prescription?
o Aerobic fitness determines quality of life and is a powerful correlate of all cause mortality e.g. Myers NEJM
o In the USA ~20M people have sarcopenia – the age related decline in muscle size and function
Quantitative immunofluorescence microscopy of subcellular GLUT4 distribution in human skeletal muscle: effects of endurance and sprint interval training (Bradley et al., 2014)
This study used an immunofluorescence microscopy method to investigate changes in subcellular GLUT4 distribution and content following ET and SIT. Percutaneous muscle biopsy samples were taken from the m. vastus lateralis of 16 sedentary males in the overnight fasted state before and after 6 weeks of ET and SIT. An antibody was fully validated and used to show large (> 1 lm) and smaller (< 1 lm) GLUT4-containing clusters. The large clusters likely represent trans-Golgi network stores and the smaller clusters endosomal stores and GLUT4 storage vesicles (GSVs). Density of GLUT4 clusters was higher at the fibre periphery especially in perinuclear regions. A less dense punctate distribution was seen in the rest of the muscle fibre. Total GLUT4 fluorescence intensity increased in type I and type II fibres following both ET and SIT. Large GLUT4 clusters increased in number and size in both type I and type II fibres, while the smaller clusters increased in size. The greatest increases in GLUT4 fluorescence intensity occurred within the 1 lm layer immediately adjacent to the PM. The increase in peripheral localisation and protein content of GLUT4 following ET and SIT is likely to contribute to the improvements in glucose homeostasis observed after both training modes.
Observation of the molecular organization of calcium release sites in fast- and slow-twitch skeletal muscle with nanoscale imaging (Jayasinghe et al., 2014)
Our findings confirm that junctophilin-1 (JPH1), which tethers the sarcoplasmic reticulum ((SR) intracellular calcium store) to the tubular (t-) system at triads, was present throughout the RyR array, whereas JPH2 was contained within much smaller nanodomains. Similar imaging of the primary SR calcium buffer, calsequestrin (CSQ), detected less overlap of the triad with CSQ in slow-twitch muscle supporting greater spatial heterogeneity in the luminal Ca2+ buffering when compared with fast twitch muscle. Taken together, these nanoscale differences can explain the fundamentally different physiologies of fast- and slow-twitch muscle.
Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques (Ohlendieck, 2011)
Over the past few years, skeletal muscle proteomics has successfully catalogued the majority of abundant and soluble fibre-associated proteins. The refined proteomic analysis of isoform expression patterns and biochemical studies of dynamic posttranslational modifications has identified thousands of distinct muscle protein species. Myogenesis, muscle maturation, muscle transformation and aging-related muscle wasting have been intensively investigated by using proteomic methods and has resulted in the establishment of a comprehensive biomarker signature for major physiological adaptation processes in contractile tissues. The proteomic characterisation of common neuromuscular disorders has revealed novel disease-specific marker proteins of disuse atrophy, muscular dystrophy, obesity, type 2 diabetes, sepsis, hypokalemic myopathy, inclusion body myositis and reducing body myopathy. Thus, MS-based proteomics has decisively improved our general understanding of physiological and pathophysiological mechanisms in muscle tissues. New biomarker candidates can now be used for improving diagnostic methods, the identification of novel therapeutic targets, better comprehension of the molecular pathogenesis of muscular disorders, improved monitoring of disease progression and the judging of potential side effects of experimental drugs. Importantly, if the proteomic workflow could be successfully miniaturised, then single-cell proteomics of different fibre populations would lead to more comprehensive coverage of the skeletal muscle proteome. This depends on technical developments in the field of MS [20, 21, 22]. In the future, organelle and membrane proteomics will probably play a more prominent role in muscle biochemistry to study less abundant and more hydrophobic proteins. Filter-aided sample preparation and on-membrane digestion may be preferred for the proteomic analysis of high molecular mass membrane proteins. Once the majority of large and integral muscle proteins have been catalogued by proteomics, it will be crucial to correlate these findings with genomic, transcriptomic and metabolomic databanks [147] and establish the global relationship of biomolecules in striated voluntary muscle tissues.
A quantitative atlas of mitotic phosphorylation (Dephoure et al., 2008)
We report the identification of >14,000 different phosphorylation events, more than half of which, to our knowledge, have not been described in the literature, along with relative quantitative data for the majority of these sites. We observed >1,000 proteins with increased phosphorylation in mitosis including many known cell cycle regulators. The majority of sites on regulated phosphopeptides lie in [S/T]P motifs, the minimum required sequence for CDKs, suggesting that many of the proteins may be CDK substrates. Analysis of non-proline site-containing phosphopeptides identified two unique motifs that suggest there are at least two undiscovered mitotic kinases.
Proteomic investigation of changes in human vastus lateralis muscle in response to interval-exercise training (Holloway et al., 2009)
The differences in spot expression represent changes in post‐transcriptional or post‐translational processing. In particular, modulation of muscle creatine kinase and troponin T were prominent. Pro‐Q Diamond staining revealed these changes in expression were associated with phosphorylated protein species, which provides novel information regarding muscle adaptation to interval training.
Precision and variance components in quantitative gel electrophoresis (Koller et al., 2005)
The error in quantitative gel electrophoresis/Western blotting was investigated considering the purity testing of erythropoietin. The overall error was over 35% relative standard deviation. However, an analysis of variance elucidated that the interoperator variability was the dominant error source, which already explained almost 80% of the total variance. Careful compilation and investigation of the possible error sources strongly indicates that the immunoreaction after blotting and the subsequent color reaction are the major error sources in this case.