Healthy Ageing: Keeping Frailty at Bay! Janet M Lord BSc PhD MRC-ARUK Centre for Musculoskeletal Ageing Research This event has been organised by Sanofi Pasteur MSD and Shropshire Council. Sanofi Pasteur MSD has provided funding, speakers, a buffet lunch and reviewed the presentations and content of the event. UK17388g(1) 11/14
The Ageing population UK Statistics Between 1984-2009 : Number of individuals aged ≥65 years increased by 1.7 million Number of individuals aged ≥85 years more than doubled to 1.4 million By 2034: 23% of population ≥65 years 5% of population ≥85 years National Statistics online, June 2010 UK17388g (1) 11/14
House of Lords Report: Ageing: Scientific Aspects. July 2005 UK17388g (1) 11/14
Just 8 stops on the cross city line increases life expectancy by 9 years! UK17388g (1) 11/14
Ageing = Increasing frailty of an organism with time that reduces the ability to deal with stress, resulting in increased chance of disease and death. UK17388g (1) 11/14
Cancer Cancer Research CVD Heart Disease Research Ageing Alzheimers Alzheimers Research Arthritis Arthritis Research Hearing Loss Deafness Research Blindness Vision loss Research UK17388g (1) 11/14
yeast C. elegans rhesus Caloric Restriction rat Daphnia mouse Drosophila medfly UK17388g (1) 11/14
Control CR Reduced cancer, CVD, diabetes, neurodegeneration UK17388g (1) 11/14 Colman RJ et al Science 2009
CR in humans: Okinawan Japanese • Highest fraction of centenarians in the world (18.5 per 100,000 population, C.f. 4.5, Japan as a whole) • Eat less calories Kids: 60% of recommended calories Adults: 80% of recommended calories UK17388g (1) 11/14
UK17388g (1) 11/14 Okinawan Japanese Okinawans, compared to Americans: • 75% more likely to retain cognitive ability • Get 80% fewer breast and prostate cancers • Get 50% fewer ovarian and colon cancers • Have 20% fewer hip fractures • Have 80% fewer heart attacks • Have high DHEA levels • No data on immunity, but caloric restriction improves immunity in many species including primates See www.okicent.org
UK17388g (1) 11/14
Only person verified to have lived beyond 120 Took up fencing at 85, rode her bike daily till 100 Lived independently till 114 Smoked until she was 117 (2 per day) Had a glass of port every day and ate 1kg of chocolate per week! Put her long life down to eating lots of olive oil and rubbing it on her skin every day! Mme Jeanne-Louise Calment 1875-1997 UK17388g (1) 11/14
Assess the relationship between lifestyle factors, health and mortality cross-sectionally and longitudinally in elderly individuals 1. Baseline a) 2621 babies measured between 1920-1930 2. Follow-Up 1 a) 717 individuals measured in 1994 b) Aged 63-73 years old 3. Follow-Up 2 a) 294 Individuals measured in 2004 b) Aged 72-83 years old c) Of the 717 at 1 st follow-up 122 died UK17388g (1) 11/14 Syddall HE et al Int J Epidemiol 2010
10 15 10 *** *** A C E 8 8 IFN- (pg . ml -1 ) IL-10 (pg . ml -1 ) IL-6 (pg . ml -1 ) 10 6 6 4 4 5 2 2 0 0 0 Baseline Follow-up Baseline Follow-up Baseline Follow-up *** * 30 6000 B D TNF- (pg . ml -1 ) CRP (ng . ml -1 ) 20 4000 10 2000 0 0 Baseline Follow-up Baseline Follow-up Bartlett D et al Aging Cell 2012 UK17388g (1) 11/14
UK17388g (1) 11/14
Chronic inflammatory disease is associated with increased muscle atrophy – COPD, Rheumatoid Arthritis Inflammatory cytokines promote muscle loss, e.g. Cancer cachexia and sepsis Induction of muscle loss by pro-inflammatory cytokines via several mechanisms: Activation of catabolic pathways: Muscle specific E3 ligases (atrogenes MAFBX, MurF1), calpains Inhibition of myocyte differentiation (myostatin) UK17388g (1) 11/14
Not Climbing Slow Walking Regular Car Travel Smoking Stairs (1.7 times risk) (1.6 times risk) (2.5 times risk) (4.5 times risk) Inflammageing UK17388g (1) 11/14 Bartlett D et al (unpublished data)
5 VO 2 max; n=49, 60-77 yrs Physical activity, n=189; 60-80 yrs 7 r (187)=-.183, p =.006 6 4 r (187)=-.183, p =.006 5 CRP (mg/L) CRP (mg/L) 3 4 3 2 P<0.008 * 2 P<0.001 1 * 1 0 0 0 200 400 600 800 1000 1200 1400 Sedentary Moderate Trained Steps/Hour Physical Activity Status Bartlett D unpublished data UK17388g (1) 11/14
40 subjects (21-60 yrs) 4.5 HIIT for 10 wks (3 x 4 per week) 3.5 3 Reduced IL6 (p=0.03, Cytokine (pg/ml) 2.5 CRP (p = 0.028), 2 Leptin (p=0.04) 1.5 1 0.5 0 C HIIT C HIIT 1 2 3 CRP IL6 Bartlett D unpublished data UK17388g (1) 11/14
Physical inactivity causes 6% of all deaths from the major non-communicable diseases (coronary heart disease, type 2 Diabetes, and breast/ colon cancers) Inactivity causes approximately 3·2 million deaths worldwide each year 43% of men and 20% of women aged 75-84 meet activity guidelines (less than 10% in >85s). 1. WHO factsheet no 385 Physical Activity 2. Scholes and Mindell. HSE 2012 vol 1, UK17388g (1) 11/14 ch 2 Physical activity in adults.
Effects of 2-week reduction in ambulatory activity (8,000-1500 steps per day) in otherwise healthy individuals Parameter Pre-intervention Post-intervention Mean SEM Mean SEM P Value VO 2max , ml·min −1 ·kg − 1 48 1.3 45 1 <0.01 Total body mass, kg 71 1.9 70 2 <0.001 Leg lean mass, kg 19 0.5 18 0.5 <0.001 This effect was twice as great in older adults J Appl Physiol. 2010 May;108(5):1034-40 UK17388g (1) 11/14
Chemotaxis Phagocytosis Bacterial killing: ROS generation NET generation UK17388g (1) 11/14
UK17388g (1) 11/14 C. Difficile MRSA April 2007-June 2010 April 2007-June 2010 3000 90000 80000 2500 70000 Total cases 60000 2000 Total cases 50000 1500 40000 1000 30000 20000 500 10000 0 0 Under 64 65-75 over 75 Under 64 65-75 over 75 UK17388g 08/14
Speed (Chemokinesis) Velocity (Chemotaxis) Persistence (changes in direction) Chemotactic Index (accuracy) UK17388g (1) 11/14
UK17388g (1) 11/14
UK17388g (1) 11/14
Chemokinesis and chemotaxis towards IL-8 4 3.5 3 2.5 m/min Age < 35 2 Age > 65 1.5 1 * 0.5 0 Chemokinesis Chemotaxis UK17388g (1) 11/14 Sapey E et al 2014 Blood
* ** * * UK17388g (1) 11/14 Sapey E et al 2014 Blood
Area of tissue damage 1.3 m UK17388g (1) 11/14 Burns et al, Physiol Rev (2003)
Young Elderly Elderly neutrophils cause 40% more tissue damage during migration. Sapey E et al unpublished data UK17388g (1) 11/14
25 P<0.006 20 NE activity (AaVal360 nM) 15 10 5 0 Old Young 1 2 TNF (nM) 1.6 0.56 p<0.03 hsCRP (mg/dl) 3.4 1.1 p<0.01 UK17388g (1) 11/14 Sapey E et al 2014 Blood
UK17388g (1) 11/14 Young subjects Older subjects N 5 5 Age 27 (24 – 32) 79 (75 – 86) Bacteria cultured Streptococcus pneumoniae 5 5 6 x 10 9 cfu/ml 8 x 10 9 cfu/ml Median bacterial load (3.6 – 7.8) (4.8 – 9.8) * Median sputum mediator concentrations CXCL1 16.7 nM (6 - 30) 20.1nM (3 – 30) CXCL8 33.9 nM (17 - 46) 60.0 nM (43 - 64) * 47.3 nM (14 - 72) 74.1nM (18 - 84) TNFa 15.6 pM (10 – 28) 40.3pM (24 – 51) * IL-1b 17.2pM ( 9 - 22) 40.1pM (22 - 63) * Sputum absolute neutrophil counts 15 x 10 6 /ml (11 – 25) 23 x 10 6 /ml (14 – 30) $ Median plasma CRP mg/dl (21 – 98) 102 mg/dl (52 – 139) * Blood absolute neutrophil counts 16.9 x 10 6 /ml (12 – 23) 17.1 x 10 6 /ml (11 – 24) NE activity (A α Val360) 85.5 ± 16.2 nM 411.8 ± 97.1 nM ** Chemokinesis towards sputum 5.1 + 0.5 4.6 +0.3 Chemotaxis towards sputum 2.2 + 0.2 0.5 + 0.1 ** Accuracy of movement 0.47 + 0.03 0.09 + 0.02 ** Sapey E et al unpublished data
UK17388g (1) 11/14
UK17388g (1) 11/14 King and Insall 2008
Young Old c Pp85 Pp85 c β -actin β -actin UK17388g (1) 11/14 Sapey E et al 2014 Blood
2.5 Chemotaxis (um/min) 2 1.5 1 0.5 0 Age < 35 Age > 65 65 + LY294002 65 + Simvastatin UK17388g (1) 11/14 Sapey E et al 2014 Blood
UK17388g (1) 11/14 Accuracy of µm/min movement Accuracy of µm/min movement Sapey E et al 2014 Blood
King and Insall 2008 UK17388g (1) 11/14
UK17388g (1) 11/14
Chemotaxis Accuracy Chemokinesis UK17388g (1) 11/14 Sapey E unpublished data
20 healthy volunteers aged over 65 (mean 71.3; range 65-93) 2 weeks 80mg daily Simvastatin or placebo 1 month washout 2 weeks 80mg daily Simvastatin or placebo UK17388g (1) 11/14 Sapey E unpublished data
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