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Mechanistic insights into air pollution and Type 2 diabetes. · 58-year-old patient with Type 2...

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Mechanistic insights into air pollution and Type 2 diabetes. HEI Conference April 30, 2018 Sanjay Rajagopalan, MD
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  • 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


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