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Manifestation of Novel Social Challenges of the European Union in the Teaching Material of Medical Biotechnology Master’s Programmes at the University of Pécs and at the University of Debrecen Identification number: TÁMOP-4.1.2-08/1/A-2009-0011. - PowerPoint PPT Presentation
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Manifestation of Novel Social Challenges of the European Unionin the Teaching Material ofMedical Biotechnology Master’s Programmesat the University of Pécs and at the University of DebrecenIdentification number: TÁMOP-4.1.2-08/1/A-2009-0011
BASICS OF GERONTOLOGY, DEMOGRAPHIC DATA
Miklós Székely and Erika PéterváriMolecular and Clinical Basics of Gerontology – Lecture 1
Manifestation of Novel Social Challenges of the European Unionin the Teaching Material ofMedical Biotechnology Master’s Programmesat the University of Pécs and at the University of DebrecenIdentification number: TÁMOP-4.1.2-08/1/A-2009-0011
TÁMOP-4.1.2-08/1/A-2009-0011
Gerontology and Geriatrics
• (Géron = „gray“, lógos = „study“) • The study of normal aging
Geriatrics• Characteristic diseases in the elderly,
or age-related changes in diseases that already began in the young
Gerontology
TÁMOP-4.1.2-08/1/A-2009-0011
WHO categories for late adulthood
• age 50-59: age of transition• age 60-74: elderly• age 75-89: old• age 90-99: very old• over the age of 100: age of Methuselah
TÁMOP-4.1.2-08/1/A-2009-0011
Dynamic and dramatic increase in the population above the age of 65
Population-wide aging
TÁMOP-4.1.2-08/1/A-2009-0011The share of people over the age of 60 in Europe in 2005 and in 2050 (%)
0
5
10
15
20
25
30
35
Irela
nd
Cypr
us
Slov
akia
Mal
ta
Pola
nd
Luxe
mbu
rg
Neth
erla
nd
Czeh
Rep
ublic
Lithu
ania
Denm
ark
Finla
nd
Hung
ary
Aust
ria
Slov
enia
Unite
d Ki
ngdo
m
Fran
ce
Esto
nia
Latv
ia
Belg
ium
Swed
en
Germ
any
Gree
ce
Spai
n
Portu
gal
Italy
Euro
pe o
f 15
New
acce
ssio
n co
untri
es
Euro
pe o
f 25
2005
2050
TÁMOP-4.1.2-08/1/A-2009-0011
Changes of the population pyramid in Hungary
500 400 300 200 100 0 100 200 300 400 5000–45–9
10–1415–1920–2425–2930–3435–3940–4445–4950–5455–5960–6465–6970–7475–7980–8485–X
Number of inhabitants in thousands
Age
grou
p
1890Male
MaleexcessFemale
Female excess
19412004
TÁMOP-4.1.2-08/1/A-2009-0011
Survival curvesfor different populations
20 40 60 80
20
40
60
80United States (1970)
1,100 BCEurope15,000yrs ago
Africa50,000yrs ago
Age (years)
Perc
ent s
urvi
val
TÁMOP-4.1.2-08/1/A-2009-0011Mean life expectancy of males and females in Sweden over two centuries
PeriodMean life expectancy at age
0 60 80
1755-76MaleFemale
33.2035.70
12.2413.08
4.274.47
1856-60MaleFemale
40.4844.15
13.1214.04
3.124.91
1936-40MaleFemale
64.3066.90
16.3517.19
5.255.49
1971-75MaleFemale
72.0777.65
17.6521.29
6.087.28
TÁMOP-4.1.2-08/1/A-2009-0011
Survival curves for male rats fedad libitum or restricted to 60%
GroupAd libitumRestricted to 60%
Age (months)
Perc
ent S
urvi
ving
48
44
40
36
32
28
24
20
16
12
8400
10
20
30
40
50
60
70
80
90
100
TÁMOP-4.1.2-08/1/A-2009-0011Age-specific death rates of Swedish females from 1751 to 1950 and for 1988
Deat
h/10
00/y
ear
Sweden (females)
Years1007550250
0.5
1
10
100
500
1751 - 17901851 - 18601901 - 19101920 - 19301941 - 19501988
TÁMOP-4.1.2-08/1/A-2009-0011
How old would you feel if you did not know how old you were?
Chronological and biological aging
TÁMOP-4.1.2-08/1/A-2009-0011
Etiology of agingA Genetic mechanisms
•Mutations (mutation rate is 107-11) • Chromosome abnormalities• Telomeres• Demethylation• Defects of protein synthesis (Normal mistake rate 5/10,000)• Elongation factor-1 levels are also low, just as levels of some types of mRNA, e.g. mRNA for IL-1.
B Acquired mechanisms• Caloric intake – high serum glucose• High metabolic rate• Free radicals• Sedentary lifestyle
TÁMOP-4.1.2-08/1/A-2009-0011
A Genetic mechanisms1 Essential lifespan is stable within the
same species 2 Hayflick phenomenon3 X chromosome4 HLA DR1, DR11 – HLA DRw95 Progeria syndromes Hutchinson-Gilford,
Werner
Etiology of aging
TÁMOP-4.1.2-08/1/A-2009-0011
A Genetic mechanisms6 Experimental models
Drosophila melanogasterTransgenic strains contain extra copies of Cu/Zn superoxide dismutase (SOD), catalase
Caenorhabditis elegans(nematode-worm) SOD, catalase increase survival and thermal tolerance
YeastLongevity associated Gene (LAG)-1
MouseCertain inbred strains may live up to 8 years!!Tumor suppressor p53 deficiency leads topremature aging and death
Etiology of aging
TÁMOP-4.1.2-08/1/A-2009-0011
Factors influencing aging
Aging well
LifeActivity
Social Resources
Material Security
Physical Health and Functional
Status
Cognitive Efficacy
TÁMOP-4.1.2-08/1/A-2009-0011Survival curves for different populations: influence of environmental/economic/social factors
Survival at earlier ages has increased with the passage of time and is greater in more developed countries.Note the maximum age achieved has not altered.
Age (years)
Perc
ent s
urvi
val
20 40 60 100
25
50
75
100
UK190
1
UK197
5
British India1921-1930
800
TÁMOP-4.1.2-08/1/A-2009-0011
Expected life-span at birthin different European states
64 – 6767 – 7070 – 7373 – 7575 – 7878 – 8080 – 8282 – 8484 – 8686 – 88
IS
NORU
UA
MD
RO
BY
LV
TK
BGMK
CSHR
HUSK
LT
EE
AL
SL
CZ
PL
DK
PT
IE
FI
UK
BENL
LU
DE
AT
ITBA
GRES
SE
FR CH
TÁMOP-4.1.2-08/1/A-2009-0011Regional pattern of life expectancy in Germany: East-West difference (2003)
life expectancy at birth (years)
males
life expectancy at birth (years)
females
<7474-7575-7676-77>77
<8181-81.581.5-8282-82.5>82.5
Berlin
Frankfurt M.
Köln
München
100 km
Hamburg Hamburg
Berlin
Frankfurt M.
Köln
München
100 km
TÁMOP-4.1.2-08/1/A-2009-0011
male (years)
female (years)
USA 71.3 78.5
Japan 75.5 81.6
Finland 70.0 78.9
Average life expectancy at birth in different European states (1987)
male (years)
female (years)
male (years)
female (years)
Soviet Union 65.1 73.8 Switzerland 73.8 80.6
Hungary 65.7 73.7 Sweden 73.8 79.9
Poland 66.7 75.1 Greece 73.5 78.5
Yugoslavia 66.7 75.1 The Netherlands 73.1 79.9
Rumania 67.1 72.7 Norway 72.6 79.6
Czechoslovakia 67.5 75.0 FRG (West Germany) 71.9 78.5
Bulgaria 68.3 74.2 England 71.9 77.6
GDR (East Germany) 69.5 75.4 France 71.8 80.1