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
GENETIC
BACKGROUND OF LONGEVITY –
MOLECULAR
MECHANISMS OF INTERVENTION
Krisztián Kvell
Molecular and Clinical Basics of Gerontology – Lecture 26
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
y = 5.58x0.146 r2 = 0.340
t max (yrs)
1000
100
10
1
1.E+00 1.E+02 1.E+04 1.E+06 1.E+08 1.E+10
M (g)
Correlation between body mass and
lifespan
• Trade-off between fertility and longevity genes
• Optimal conditions: invest in growth and reproduction
• Restrictive conditions: shut off reproduction, invest in somatic maintenance and survival
Theory of antagonistic pleiotropy
The family tree of aging theories
Stress-induced premature senescence (SIPS) Damage theories
Aging theories
Evolutionary theories of living and longevity
• Programmed death theory
• Mutation accumulation theory
• The antagonistic pleiotropy theory
Programmed theories
• Immune system compromise
• Neurological degeneration
• Hormonal theory of aging
• The genetic clock
(programmed epigenomic theory)
Beyond molecular biology of aging
• Thermodynamics of aging
• Reliability theory
• Rate of living theory
General formulations
• Misrepair accumulation theory
• Waste accumulation theory of aging
• Error catastrophe theory
• Wear and tear theory
Individual mechanisms
• Chronic or excess infammation
• Mitochondrial damage
• Methylation
• Glycation
• Oxidative damage-Free radical
• Somatic DNA damage/mutation
• Morbidity rate increase peaks at 60y, decelerates after 80y, remains linear after 110y
• Environmental effects are strong: centenarians’
spouses gain >15years over controls
• Three major categories of extreme longevity:
survivors, delayers, escapers
• Average lifespan: 30% genes, 40% environment, 30% pure luck
Centenarians
Asthma
Renal disease Diabetes
Cardiac disease Arthritis
Cancer
Correlation of
morbidity rates and age
0 20 40 60 80 100
10 30 50
0 20 40 60
% with disease
Age (years)
Sinusitis
Cellular degradative pathways
FoxO, FoxA, HSF-1, SKN Caloric restriction
p53
Chemical substances (e.g., resveratrol)
Insulin/IGF-1 signalling TGF- β signalling
JNK signalling TOR signalling
Mitochondial respiration Protein synthesis
Temperature
Anti-ageing factors Pro-ageing factors
Ageing process
Intracellular accumulation of random cellular damage
Lifespan
Sirtuins
Molecular balance of aging and life-
span
Absent in Ames and Snell dwarfs
Absent in GHR-KO
Reduced levels in Ames and Snell dwarfs
and GHR-KO mice
Ligand-induced
phosporylation is reduced by Klotho, ressembling findings in dwarf and GHR-KO mice GH
GHR
IGF-I
IGF-IR
Insulin
IR
IRSs
Extended longevity
AKT Reduced levels in
Ames and Snell dwarfs and GHR-KO mice
? Klotho
Connection of metabolism and
longevity
ROS
PI3K
PTEN PDK
JNK FoxO
FoxO SKN-1 Rheb
FoxO target
SGK- 1 AKT/PKB TSC1/2
AMPK/
AKK-2
LKB1 elF4E 4E-BP TOR
S6K S6
Sir2/
Sirt1 SKN-1
14-3-3
E2F-1 HSF-1
SMK-1
FoxA/
PHA-4 Autophagy
AGEING Nucleus
Mithocondrion Cellular toxins (damaged proteins
and organelles) Protein turnover Cellular energy
AAT
AA
Cytoplasm
Glucose, amino acids Growth factors
TGF-β INS/IGF-1
PI(3,4,5)P3
PI(4,5)P2
Resveratrol
p53
Molecular pathways of aging and life-
span
• DNA stability and repair genes
- Poly(ADP-ribose) polymerase (PARP) activity directly correlates with life-span
- XPF-ERCC1 endonuclease, progeriod mutations, secondary and tertiary DNA structures
- Sirtuins deacetylate key proteins including p53 and show direct correlation with metabolism
Genes influencing longevity I
• Defense against ROS
- p66Shc (SHC1) signal transduction of oxidative stress, deletions increase ROS resistance and life- span
- Paraoxonase 1 (PON1) protects LDL from oxidative damage, key in atherosclerosis
- Klotho (KL) b-glucuronidase, alleles influence coronary artery disease frequency
- Superoxide dismutase (SOD) and catalase (CAT)
increased activity increases life-span via ROS capture - Hemochromatosis gene (HFE) alleles influence ROS
damage via the Fenton reaction
Genes influencing longevity II
• Mitochondrial genes
- Centenarians (9/11) possess SNP at position 5178 of NADH dehydrogenase subunit 2 gene (ND2)
- Haplogroup cluster frequency differences, U, J, UK, WIX were frequent in aged; whereas H, HV were rare
- 150T polymorphism accumulates in aged, though significantly influenced by SNPs 489C and
10398G
Genes influencing longevity III
Nematode Human
catalase catalase
age-1 Pl3-kinase
(glucose metabolism)
daf-2
Insulin-like receptor
(glucose metabolism)
daf-16 HNF3
(transcription factor)
WRN WRN
(Werner Syndrome)
*Known effect on aging
1.0 0.8 0.6 0.4 0.2 0
Animals with a mutation in the age-1 gene live longer than wild type
Proportion Surviving
Age (day)
10 20 30 40 50
wild type age-1
Longevity genes across animal
kingdom
Worm gene Yeast gene Human ortholog(s)
spg-7 AFG3 AFG3L2
F43G9.1a IDH2 IDH3A
unc-26 INP53 SYNJ1, SYNJ2
rpl-1 9 RPL19A RPL1 9
rpl-6 RPL6B RPL6
rpl-9 RPL9A RPL9
spt-4 SPT4 SUPT4H1
inf-1a TIF1 EIF4A2, EIF4A1 inf-1a TIF2 EIF4A2, EIF4A1 inf-1 TIF4631 EIF4G1, EIF4G3
let-36a TOR1 FRAP1
W09H1.5 ADH1 –
T27F7.3 ALG12 –
Worm gene Yeast gene Human ortholog(s)
B0511.6a DBP3 –
sem-5 HSE1 –
F43G9.1 IDH1 –
unc-26 INP51 SYNJ1, SYNJ2
pdk-1 PKH2 PDPK1
eat-6 PMR1 –
C06E7.1a SAM1 MAT1A, MAT2A rsks-1a SCH9b RPS6KB1, SGK2
Y46H3C.6 SIS2 –
pos-1 TIS11 –
erm-1 YGR1 30C –
rab-10 YPT6 –
Aging genes conserved in animal
kingdom
• Apolipoprotein E, frequency of ApoE-e4 allele is very low among centenarians
• Cholesterol ester transferase protein, affects HDL and LDL particle size
• Apolipoprotein C, ApoC3 promoter CC
polymorphism accumulates in centenarians
• Microsomal transfer protein (MTP) 493 G6T variant is rare in aged
• Prolyl isomerase (PIN1) protein folding chaperone genetic variations affect Alzhemier’s frequency
Genes affecting age-related diseases
• ‘Strategies for Engineered Negligible Senescence’
(Dr. Aubrey de Grey, Cambridge, UK)
• Increase the expected age at death for healthy 55- year old from 85 to 115 years by 2030
• Mimic negligible senescence observed in Hydra
SENS
• Intervention to occur at three levels: metabolism, damage, pathology
- Clearance of damaged IC and EC protein aggregates
- Removal of senescent cells
- Telomerase-incompetent stem-cell therapy
- Escape mitochondrial mutations via shift to gDNA
SENS: planned interventions
• Longest life documented: Jeanne Calment, 122y
• Have all questions been addressed?
• Aging is not clonal (not cancer), but mosaic
• Gradual loss of genome instability is inevitable