Mechanistic insights into air pollution and Type 2 diabetes.
HEI Conference April 30, 2018
Sanjay Rajagopalan, MD
58-year-old patient with Type 2 Diabetes Mellitus (T2DM): HbA1c=7.5 and Blood Pressure (BP)=135/80
10-year Cardiovascular (CV) event = 5%
Natural History of T2DM
Defronzo & Felber. Diabetes. 1988; 37: 667-687 and Metabolism. 1990; 39: 1068-75.
LeanNGT
OBNGT
OB-IGT
OB-DIAB
High INS
OB-DIAB
Low INS
140 –-
100 –-
60 –-
20 –
MeanPlasma InsulinDuring OGTT
(µU/ml)
– 300
– 250
– 200
– 150
– 100
Insulin-MediatedGlucoseUptake
(mg/m2·min)
140 –-
100 –-
60 –-
20 –
MeanPlasma Glucose
During OGTT(mg/dl)
5-15 YEARS
OGTT = oral glucose tolerance testOB = obese NGT = no glucose intolerance IGT = initial glucose intolerance INS = insulin resistant
De Fronzo’s Ominous Octet
Multiple defects contribute to the progression of type 2 diabetes mellitus
Adapted from De Fronzo RA. Diabetes. 2009;58:773-95.
Hyperglycaemia
DecreasedInsulin
Secretion
IncreasedGlucagonSecretion
NeurotransmitterDysfunction
DecreasedIncretin Effect
IncreasedHGP Decreased
Glucose Uptake
IncreasedGlucose
Reabsorption
IncreasedLipolysis
Islet-α cell
IF TRADITIONAL RISK FACTORS WERE WORSENED BY AIR POLLUTION… THE GLOBAL RISK POSED WOULD BE EVEN LARGER…
Zone 1Well characterized
health effects of well studied pollutants.
Zone 2Emerging, but still unqualified,
(Hypertension, diabetes, and others)
Zone 3Inadequate characterized health effects
of emerging pollutants.
Number of Pollution Related Deaths = 9 Million
Number of Pollution Related Deaths = ?
Landrigan P et al. The Lancet Commission on pollution and health Lancet. 2017 Oct 17.
If traditional risk factors WERE
WORSENED BY AIR POLLUTION…
the global risk posed would be even
larger…
Number of Pollution Related Deaths = ?
How may Air Pollution Cause Type 2 DM?
Rao X et al. Toxicol Sci. 2015 Feb;143(2):231-41
M = macrophageT = T cell GLUT = glucose transporter
• Chronic low level inflammation represents a convergent pathway for multiple diseases
• Cellular inflammation has emerged as a primary determinant of many components of the metabolic syndromeHotamisligil G et al. Nature 2006; 444; 86-67; Shoelson S et al. JCI 2006; 116; 3015-26; Olefsky et al. Ann Rev Physiol 2010; 72; 1-28
Chronic PM2.5 Ambient Exposures (20 wk) Potentiates Inflammation/Insulin Resistance in Mice
0
0.2
0.4
0.6
0.8
FA PMIn
su
lin
(n
g/m
l)
Sun Q, Yue et al. Circulation 2009; 119(4):538-46.
*
0
5
10
15
Con
cent
ratio
n
FA PM2.5 FA PM2.5TNF-α IL-6pg/ml ng/ml
*
*
FA
PM2.5
F4/80 Cav Topro3 Merge SVF
0
2
4
Rel
ativ
e fo
lds
FAPM2.5
Nos2 TNF-α Itgax IL-6 IL-10 Mgl1 Pparγ
M1 M2
*
*
**
FA = filtered air PM = particulate matter SVF = ??
Chart1
FA0.067976955
PM0.1404268099
Insulin (ng/ml)
0.2051034607
0.5895601396
Sheet1
Insulin Standard
ng/mlOD450OD630B-COD450OD630B-C
6.40.8450.0370.8080.8960.0370.8590.83356.40.8335
3.20.4430.0360.4070.5060.0370.4690.4383.20.438
1.60.2820.0380.2440.2880.0370.2510.24751.60.2475
0.80.160.0360.1240.1710.0370.1340.1290.80.129
0.40.1110.0360.0750.1140.0360.0780.07650.40.0765
0.20.0830.0350.0480.0870.0350.0520.050.20.05
0.10.0750.0370.0380.0740.0350.0390.03850.10.0385
00.0610.0340.0270.0610.0350.0260.026500.0265
SamplesOD450OD630B-CConcentration
FA3-00.1290.0360.0930.5059288538
FA3-300.1410.0370.1040.5928853755
FA3-600.1360.0360.10.5612648221MinFA3FA4FA5FA6AverageSTDSEMP
FA3-900.140.0370.1030.584980237200.50592885380.17391304350.21343873520.22134387350.27865612650.15292918670.0764645934
FA3-1200.1880.0350.1530.9802371542300.59288537550.16600790510.46640316210.11067193680.33399209490.23284401250.1164220063
FA4-00.0860.0350.0510.1739130435600.56126482210.17391304350.53754940710.17391304350.36166007910.21700768640.1085038432
FA4-300.0840.0340.050.1660079051900.58498023720.48221343870.55335968380.15019762850.4426877470.19967321640.0998366082
FA4-600.0860.0350.0510.17391304351200.98023715420.4426877470.63241106720.30039525690.58893280630.29419437260.1470971863
FA4-900.1260.0360.090.4822134387
FA4-1200.1230.0380.0850.442687747PM3PM4PM5PM6
FA5-00.0920.0360.0560.213438735200.40316205530.77470355730.28458498020.38735177870.46245059290.21470371250.10735185630.2126136546
FA5-300.1240.0360.0880.4664031621300.18181818180.19762845850.49802371540.40316205530.32015810280.15564626540.07782313270.9245245882
FA5-600.1320.0350.0970.5375494071600.15019762850.17391304350.50592885380.40316205530.30830039530.17427199750.08713599880.7146128825
FA5-900.1340.0350.0990.5533596838900.22924901190.30039525690.56126482210.50592885380.39920948620.1594801660.0797400830.7452439166
FA5-1200.1440.0350.1090.63241106721200.32411067190.3478260870.50592885380.56916996050.43675889330.11960468210.05980234110.3748980315
FA6-00.0920.0350.0570.2213438735
FA6-300.0790.0360.0430.1106719368FA+LA1FA+LA2FA+LA3FA+LA4
FA6-600.0890.0380.0510.173913043500.22924901190.11857707510.08695652170.32411067190.18972332020.10838979610.054194898
FA6-900.0830.0350.0480.1501976285300.06324110670.14229249010.21343873520.58498023720.25098814230.23095769570.1154788478
FA6-1200.1030.0360.0670.3003952569600.11067193680.17391304350.35573122530.42687747040.2667984190.14892673610.074463368
PM3-00.1150.0350.080.4031620553900.14229249010.23715415020.16600790510.4426877470.24703557310.13652107540.0682605377
PM3-300.0890.0370.0520.18181818181200.46640316210.23715415020.21343873520.48221343870.34980237150.14423718680.0721185934
PM3-600.0850.0370.0480.1501976285
PM3-900.0940.0360.0580.2292490119PM+LA3PM+LA4PM+LA5
PM3-1200.1060.0360.070.324110671900.46640316210.18181818180.18181818180.27667984190.16430521490.0821526075
PM4-00.1650.0380.1270.7747035573300.38735177870.47430830040.16600790510.34255599470.15895684990.0794784249
PM4-300.0890.0350.0540.1976284585600.21343873520.49011857710.22134387350.30830039530.15750876560.0787543828
PM4-600.0860.0350.0510.1739130435900.4426877470.49011857710.13438735180.35573122530.19315085730.0965754286
PM4-900.1020.0350.0670.30039525691200.52964426880.32411067190.35573122530.40316205530.11067193680.0553359684
PM4-1200.1080.0350.0730.347826087
PM5-00.1040.0390.0650.2845849802
PM5-300.1270.0350.0920.4980237154
PM5-600.1290.0360.0930.5059288538
PM5-900.1380.0380.10.5612648221FAPMFA+LAPM+LA
PM5-1200.1280.0350.0930.505928853800.27865612650.46245059290.18972332020.2766798419
PM6-00.1170.0390.0780.3873517787300.33399209490.32015810280.25098814230.3425559947
PM6-300.1160.0360.080.4031620553600.36166007910.30830039530.2667984190.3083003953
PM6-600.1150.0350.080.4031620553900.4426877470.39920948620.24703557310.3557312253
PM6-900.1310.0380.0930.50592885381200.58893280630.43675889330.34980237150.4031620553
PM6-1200.1360.0350.1010.5691699605
FA+LA1-00.0940.0360.0580.2292490119SEM
FA+LA1-300.0740.0370.0370.063241106700.07646459340.10735185630.0541948980.0821526075
FA+LA1-600.080.0370.0430.1106719368300.11642200630.07782313270.11547884780.0794784249
FA+LA1-900.0840.0370.0470.1422924901600.10850384320.08713599880.0744633680.0787543828
FA+LA1-1200.1280.040.0880.4664031621900.09983660820.0797400830.06826053770.0965754286
FA+LA2-00.0790.0350.0440.11857707511200.14709718630.05980234110.07211859340.0553359684
FA+LA2-300.0810.0340.0470.1422924901
FA+LA2-600.0990.0480.0510.1739130435
FA+LA2-900.0970.0380.0590.2371541502
FA+LA2-1200.0960.0370.0590.2371541502
FA+LA3-00.0760.0360.040.0869565217
FA+LA3-300.0920.0360.0560.2134387352
FA+LA3-600.1090.0350.0740.3557312253
FA+LA3-900.0850.0350.050.1660079051
FA+LA3-1200.090.0340.0560.2134387352
FA+LA4-00.1050.0350.070.3241106719
FA+LA4-300.1390.0360.1030.5849802372
FA+LA4-600.120.0370.0830.4268774704
FA+LA4-900.1210.0360.0850.442687747
FA+LA4-1200.1260.0360.090.4822134387
PM+LA3-00.1230.0350.0880.4664031621
PM+LA3-300.1140.0360.0780.3873517787
PM+LA3-600.1130.0570.0560.2134387352
PM+LA3-900.1210.0360.0850.442687747
PM+LA3-1200.1310.0350.0960.5296442688
PM+LA4-00.0890.0370.0520.1818181818
PM+LA4-300.1250.0360.0890.4743083004
PM+LA4-600.1270.0360.0910.4901185771
PM+LA4-900.1260.0350.0910.4901185771
PM+LA4-1200.1050.0350.070.3241106719
PM+LA5-00.090.0380.0520.1818181818
PM+LA5-300.0850.0350.050.1660079051
PM+LA5-600.0940.0370.0570.2213438735
PM+LA5-900.0820.0360.0460.1343873518
PM+LA5-1200.1150.0410.0740.3557312253
Insulin Standard
ng/mlOD450OD630B-COD450OD630B-C
6.40.7220.0440.6780.7550.0460.7090.69356.40.6935
3.20.4340.040.3940.4540.0380.4160.4053.20.405
1.60.2310.0380.1930.250.0410.2090.2011.60.201
0.80.1470.0390.1080.1580.0380.120.1140.80.114
0.40.1020.0370.0650.1070.0410.0660.06550.40.0655
0.20.0790.0360.0430.0790.0360.0430.0430.20.043
0.10.070.0370.0330.0680.0360.0320.03250.10.0325
00.060.0380.0220.0570.0360.0210.021500.0215
SamplesOD450OD630B-CConcentration
FA1-00.070.0410.0290.0159027128
FA1-300.110.0390.0710.4087932647
FA1-600.1070.040.0670.3713751169
FA1-900.1220.0370.0850.539756782
FA1-1200.1220.0350.0870.5584658559
FA2-00.0730.0350.0380.1000935454
FA2-300.0770.0370.040.1188026193
FA2-600.1030.0390.0640.3433115061
FA2-900.1140.0370.0770.4649204864
FA2-1200.1380.0360.1020.6987839102
PM1-00.1930.0370.1561.2039289055
PM1-300.1440.0390.1050.726847521
PM1-600.1620.0360.1260.923292797
PM1-900.1380.0360.1020.6987839102
PM1-1200.1460.0350.1110.7829747428
PM2-00.1180.0390.0790.4836295603
PM2-300.0850.0360.0490.2029934518
PM2-600.1070.0370.070.3994387278
PM2-900.1160.0360.080.4929840973
PM2-1200.1570.0370.120.8671655753
PM+LA1-00.0910.0370.0540.2497661366
PM+LA1-300.0850.0360.0490.2029934518
PM+LA1-600.0790.0350.0440.1562207671
PM+LA1-900.0880.0380.050.2123479888
PM+LA1-1200.0870.0350.0520.2310570627
PM+LA2-00.1090.0350.0740.4368568756
PM+LA2-300.1110.0380.0730.4275023386
PM+LA2-600.1310.0380.0930.6145930776
PM+LA2-900.1370.0360.1010.6894293732
PM+LA2-1200.1110.0360.0750.4462114125
MinFA3FA4FA5FA6FA1FA2AverageSTDSEMP
00.50592885380.17391304350.21343873520.22134387350.01590271280.10009354540.20510346070.1665088540.067976955
300.59288537550.16600790510.46640316210.11067193680.40879326470.11880261930.31059404390.20555579060.0839178001FAPMFA+LAPM+LA
600.56126482210.17391304350.53754940710.17391304350.37137511690.34331150610.36022115650.16834229240.068725453100.20510346070.58956013960.18972332020.3033325076
900.58498023720.48221343870.55335968380.15019762850.5397567820.46492048640.46257137610.15946957080.0651031797300.31059404390.36841223070.25098814230.3316327549
1200.98023715420.4426877470.63241106720.30039525690.55846585590.69878391020.60216349860.23306487480.0951483367600.36022115650.4259888510.2667984190.3391430061
900.46257137610.46476765870.24703557310.3937942076
PM3PM4PM5PM6PM1PM2AverageSTDSEM1200.60216349860.56619598190.34980237150.3773509282
00.40316205530.77470355730.28458498020.38735177871.20392890550.48362956030.58956013960.34397403050.14042680990.0334331964
300.18181818180.19762845850.49802371540.40316205530.7268475210.20299345180.36841223070.21809647080.08903751140.646672766SEM
600.15019762850.17391304350.50592885380.40316205530.9232927970.39943872780.4259888510.28090233230.1146778970.633391276400.0679769550.14042680990.0541948980.0619764528
900.22924901190.30039525690.56126482210.50592885380.69878391020.49298409730.46476765870.17265748720.0704871240.982188875300.08391780010.08903751140.11547884780.0618997412
1200.32411067190.3478260870.50592885380.56916996050.78297474280.86716557530.56619598190.22248928370.09083086970.7900878385600.06872545310.1146778970.0744633680.0899458476
900.06510317970.0704871240.06826053770.0998207796
FA+LA1FA+LA2FA+LA3FA+LA4AverageSTDSEM1200.09514833670.09083086970.07211859340.0513024655
00.22924901190.11857707510.08695652170.32411067190.18972332020.10838979610.0541948980.8756116993
300.06324110670.14229249010.21343873520.58498023720.25098814230.23095769570.11547884780.679499827
600.11067193680.17391304350.35573122530.42687747040.2667984190.14892673610.0744633680.3958723734
900.14229249010.23715415020.16600790510.4426877470.24703557310.13652107540.06826053770.0583242794
1200.46640316210.23715415020.21343873520.48221343870.34980237150.14423718680.07211859340.0920550029
PM+LA3PM+LA4PM+LA5PM+LA1PM+LA2AverageSTDSEM
00.46640316210.18181818180.18181818180.24976613660.43685687560.30333250760.13858356150.06197645280.1168561173
300.38735177870.47430830040.16600790510.20299345180.42750233860.33163275490.1384120290.06189974120.7526504179
600.21343873520.49011857710.22134387350.15622076710.61459307760.33914300610.20112502940.08994584760.5781788545
900.4426877470.49011857710.13438735180.21234798880.68942937320.39379420760.22320604870.09982077960.5660051605
1200.52964426880.32411067190.35573122530.23105706270.44621141250.37735092820.11471580040.05130246550.1218610944
FAPMFA+LAPM+LA
Fasting insulin level0.20510346070.58956013960.18972332020.3033325076
FAPM
SEMFasting insulin level0.20510346070.5895601396
0.0679769550.14042680990.0541948980.0619764528SEM0.0679769550.1404268099
Fasting blood Insulin (ng/ml)
FA0.20±0.07
PM2.50.59±0.14
Sheet1
Sheet2
0.07646459340.07646459340.10735185630.10735185630.0541948980.0541948980.08215260750.0821526075
0.11642200630.11642200630.07782313270.07782313270.11547884780.11547884780.07947842490.0794784249
0.10850384320.10850384320.08713599880.08713599880.0744633680.0744633680.07875438280.0787543828
0.09983660820.09983660820.0797400830.0797400830.06826053770.06826053770.09657542860.0965754286
0.14709718630.14709718630.05980234110.05980234110.07211859340.07211859340.05533596840.0553359684
FA
PM
FA+LA
PM+LA
Time after glucose injection (min)
Insulin (ng/ml)
PM Exposed C57BL/6 mice fed with HFC
Sheet3
0.0764645934
0.1073518563
0.054194898
0.0821526075
Insulin (ng/ml)
Baseline Insulin Level
0.0679769550.0679769550.14042680990.14042680990.0541948980.0541948980.06197645280.0619764528
0.08391780010.08391780010.08903751140.08903751140.11547884780.11547884780.06189974120.0618997412
0.06872545310.06872545310.1146778970.1146778970.0744633680.0744633680.08994584760.0899458476
0.06510317970.06510317970.0704871240.0704871240.06826053770.06826053770.09982077960.0998207796
0.09514833670.09514833670.09083086970.09083086970.07211859340.07211859340.05130246550.0513024655
FA
PM
FA+LA
PM+LA
Time (min)
Insulin (ng/ml)
PM exposed mice fed with HFC
0.067976955
0.1404268099
0.054194898
0.0619764528
*
Insulin (ng/ml)
Fasted Insulin Level
0.067976955
0.1404268099
Insulin (ng/ml)
*
Toxicol Pathol. 2013 Feb;41(2):361-73. doi: 10.1177/0192623312464531 TOXICOLOGICAL SCIENCES 124(1), 88–98 (2011)
WAT
= w
hite
adi
pose
tiss
ue
BAT
= br
own
adip
ose
tisse
FA = filtered airPM = particulate matter
Hypothetical Model of PM2.5 Mediated Hepatic Insulin Resistance (IR) and Steatosis
Zheng et al. J Hepatol. 2013 Jan;58(1):148-54.
Does Air Pollution Induce Metabolic Changes and Shift in Thermogenesis?
Does Air Pollution Alter Brown Adipose Structure and Function?
Baby Fat May Help You Lose Weight
http://online.wsj.com/article/SB10001424052702304506904575180053884870776.html?mod=WSJ_LifeStyle_LeadStoryNA
Long Term PM2.5 Exposure (40 weeks): Impact on Mitochondrial Structure
Tox Sciences 2011; 124; 88-98FA = filtered air PM = particulate matterWAT = white adipose tissue BAT = brown adipose tissue
PM2.5 Mediated Changes in Whole Body Metabolism and Thermogenesis
Liu et al. Part Fibre Toxicol. 2014 May 30;11:27
Are Central Nervous System Pathways Responsible for Metabolic Control
Involved?
Hypothalamic Inflammation with Long-Term Exposures in C57/Bl6 mice
Environ Health Perspect. 2014 Jan;122(1):79-86
Intracerebroventricular (ICV) infusion of IKKβ Inhibitor (IMD-0354) Inhibits PM2.5 Effects
• O2 consumption (A), CO2 production (B), respiratory exchange ratio (C) and heat production (D) of mice measured by indirect calorimetry over a 24 hrs period (from 10:00 am to 10:00 am the next day) after 4 wks of PM2.5 exposure and IKKβ inhibitor treatment. *P
Regression associations between cumulative averages of daily PM2.5 and metabolic outcomes
over 0–90 days prior to FSIGT
Zhanghua Chen et al. Dia Care 2016;39:547-554© FSIGT = frequently sampled intravenous glucose tolerance
1-SD (5.1 μg/m3) increase in 0–40 days’ PM2.5 was significantly associated with a 4.9% decrease in SI. Effect size similar to 1% increase in body fat.
ASPIRE: AIR POLLUTION: STRATEGIES FOR PERSONALIZED
INTERVENTION TOREDUCE EXPOSURE
SPONSOR: National Institutes of Health (NIH)Location: Beijing ChinaCollaborators: Peking University, Peking Union Medical College. Fuwai HospitalPrincipal Investigator(s): Sanjay Rajagopalan, Robert D. BrookCo-Investigators: Wei Huang (Peking University)
Dong Feng Gu (Fuwai Hospital)Zhongjie Fan (PUMC)
Case Western Reserve/OSU
Andrew MaiseyeuJeffrey DeiulisPalanivel RangasamyXiaoquan RaoJixin ZhongQinghua Sun
Technischen Universität Dresden Henning Morawietz
University of MichiganRobert BrookBhramar MukherjeeZhichao SunMasako MorishitaTimothy Dvonch
New York UniversityLung-Chi ChenTerry Gordon
JHU Bloomberg School of Public Health
Shyam BiswalThomas Sussan
Michigan State UniversityJack Harkema
EPARobert DevlinWayne CascioDan Costa
Peking Union Medical College/Fuwai HospitalZhongjie FanDong Feng Gu
Tsinghua UniversityFumo Yang
University of TorontoHealth CanadaJeffrey Brook
University of MainzThomas Muenzel
Peking UniversityWei Huang
Slide Number 158-year-old patient with Type 2 Diabetes Mellitus (T2DM): HbA1c=7.5 and Blood Pressure (BP)=135/80Natural History of T2DMDe Fronzo’s Ominous Octet If traditional risk factors WERE WORSENED BY AIR POLLUTION… the global risk posed would be even larger…Slide Number 6How may Air Pollution Cause Type 2 DM?Slide Number 8Chronic PM2.5 Ambient Exposures (20 wk) Potentiates Inflammation/Insulin Resistance in MiceSlide Number 10Slide Number 11Hypothetical Model of PM2.5 Mediated Hepatic Insulin Resistance (IR) and SteatosisDoes Air Pollution Induce Metabolic Changes and Shift in Thermogenesis?Does Air Pollution Alter Brown Adipose Structure and Function?Long Term PM2.5 Exposure (40 weeks): Impact on Mitochondrial StructurePM2.5 Mediated Changes in Whole Body Metabolism and ThermogenesisAre Central Nervous System Pathways Responsible for Metabolic Control Involved?Hypothalamic Inflammation with Long-Term Exposures in C57/Bl6 miceIntracerebroventricular (ICV) infusion of IKKb Inhibitor (IMD-0354) Inhibits PM2.5 Effects �Slide Number 20Slide Number 21ASPIRE: Air Pollution: Strategies for Personalized Intervention to�Reduce Exposure�Slide Number 23