advances in contributions of toxicology to the ...bmi (kg/m2) 22.6 (2.4) 19.3-26.1 fvc (% of...

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Paracelsus: everything is toxic, the dose makes the poison Advances in contributions of toxicology to the understanding of particle component toxicity Prof.dr. Flemming R. Cassee

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Page 1: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Paracelsus: everything is toxic, the dose makes the poison

Advances in contributions of toxicology to the understanding of

particle component toxicity

Prof.dr. Flemming R. CasseeTo help protect your privacy, PowerPoint has blocked automatic download of this picture.

Page 2: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

F.R. Cassee | HEI webinar 2020

Emission Dispersion Air quality Exposure Internaldistribution Dose Effect

Epidemiology

ToxicokineticsToxicodynamics

Page 3: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Deposition after inhalation

10 nm

100 nm

1 um

10 um

Total

Pulmonary

Head region

Size affects the internal dose

F.R. Cassee | HEI webinar 2020

Nothingexhaled

Allexhaled 0%

100%

Page 4: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Deposition human versus distribution outdoor

1 nm 10 nm

100 nm

1 um

10 um

The often most abundant fraction has low depositionefficiency in the lung

F.R. Cassee | HEI webinar 2020

Nothingexhaled

Allexhaled

100%

Page 5: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Retention of insoluble iridium particles in rat lungs24 hrs post-exposure, extensive lavage

F.R. Cassee | HEI webinar 2020

Particle size, µm0.01 0.1 1 10

0

20

40

60

80

10015

-20

nm

80 n

m

~0.5

µm

3 µm 10

µm

% o

f Tot

al P

artic

le L

ung

Bur

den

0.01 0.1 1 100

20

40

60

80

100

15-2

0 nm

80 n

m

~0.5

µm

3 µm

10 µ

m

% o

f Tot

al P

artic

le L

ung

Bur

den

Particle size, µm

Alveolar Macrophages Retained in lungs after washing

Kreyling et al, 2002: Oberdorster et al 2004

Page 6: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Size matters in terms of ● Deposition● Clearance● Retention● Biodistribution

● Smallest particlescan reach otherorgans explainingsytemic effects

● They come fromdifferent sources

F.R. Cassee | HEI webinar 2020

Stone, Cassee et al, EHP, 2017

Page 7: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Clinical exposures Exposure mice

Particle size dependent translocation!

Miller et al. (2017). ACS NanoF.R. Cassee | HEI webinar 2020

Page 8: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

8

Sources and fractions in PM

F.R. Cassee | HEI webinar 2020

Past decade focus in roadtraffic tailpipeexhaust

But what about- Biological

fraction- Wear particle- Aviation

Page 9: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

PM from road traffic versus aviation● Is all PM equally toxic?

F.R. Cassee | HEI webinar 2020

Average relative ROS activity in bronchials cells

Near airportDowntown LA

Negative control

He et al., Sci Total Environ. 2018 Nov 1;640-641:997-1003

Page 10: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

PM from road traffic versus aviation● Is all PM equally toxic?

F.R. Cassee | HEI webinar 2020

Average inflammatory mediators in 16HBE cells

Near airportDowntown LA

Negative control

He et al., Sci Total Environ. 2018 Nov 1;640-641:997-1003

Page 11: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Amsterdam Schiphol airport human study

F.R. Cassee | HEI webinar 2020

Lammer et al., Environ. Int, 2020

5-hour exposure to air next to the airport, 2 freeways and a runway intersection near Amsterdam

Page 12: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Variability in runway use, based on noise and wind

F.R. Cassee | HEI webinar 2020

Page 13: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Set upTable 4.2 Baseline characteristics Subjects (n=21) Min - max Age (years) 22.5 19.0 – 27.0 Gender (female) 17 (14) BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0 8.0 – 58.0 Blood pressure Systolic (mmHg) 123 (12) Diastolic (mmHg) 77 (9) Heart rate (c/min) a 65 (8) 48.00 – 79.00 Saturation (%) 99.0 97.00 – 100.0 Data from measurements performed during the screening visit presented as mean (SD)

F.R. Cassee | HEI webinar 2020

SpirometryFeNOECG & blood pressure

Page 14: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Exposure summary 32 daysSummary of exposure variables. PNC= particle number counts. Values are averages for a 5-hr period as measured in the exposure cabin. Exposure day Mass PNC BC NO2 CO SO2 O3 Temperature rH

(µg/m3) (#/cm3) (µg/m3) (µg/m3) (µg/m3) (µg/m3) (µg/m3) (oC) (%)

Average 23.1 53,469 0.6 28.2 638 2.0 35.7 23.3 54SD 8.3 43,776 0.4 12.2 83 0.9 14.4 2.7 7Highest 47.5 173,187 1.9 60.2 830 3.2 78.6 28.6 66Lowest 10.6 10,520 0.1 12.4 494 1.2 8.8 15.7 40

Mass concentrations are based on Filter measurements. PNC = particle number counts. See Method section for more detailsDL= Below the detection limit of the instrument

F.R. Cassee | HEI webinar 2020

Sources

Pirhadi et al., Environ Pollut. 2020 May;260:114027.

PNC PM BC NO2 COPNCPM -0.11BC 0.14 0.38

NO2 0.37 0.13 0.79CO 0.08 0.33 0.59 0.57

Page 15: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Two-pollutant models

Outcome PNCa ≤20 nm

N = 86 PNCb >50 nm

N = 86 Est. 95%CI Est. 95%CI FVC (mL) -13.70 -26.64 – -0.52 10.22 -13.09 – 34.21 HR (bpm) -0.29 -0.97 – 0.33 0.49 -0.80 – 1.68 BPsys (mmHg) -0.37 -0.91 – 0.15 0.80 -0.18 – 1.87 BPdia (mmHg) -0.45 -0.98 – 0.09 1.03 0.03 – 2.07 ECG – HR (bpm) 0.57 -0.14 – 1.33 -0.30 -1.67 – 1.05 ECG – PR (ms) -0.63 -1.58 – 0.10 0.14 -1.59 – 1.59 ECG – QRS (ms) 0.21 -0.28 – 0.69 0.25 -0.64 – 1.13 ECG – QTc (ms) 1.89 0.41 – 3.55 -0.94 -3.70 – 2.19 Results of the two-pollutant models were corrected for room temperature and relative humidity (MAPCEL), respiratory symptoms, age, gender and BMI. a= per 10,000 particles/cm3. b = per 10,00 particles/cm3. Numbers in bold are significant (p<0.05)

F.R. Cassee | HEI webinar 2020

Total PNC

Aviation

Road

Urban

Lung function

Heart function

Page 16: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Toxicity of different source-specific PM2.5

● Brake wear (4 different brake pad types)

● Wood combustion (modern technology/efficient combustion and old technology/efficient combustion)

● Diesel combustion (stationary HD diesel engine, Euro III / Euro V combined)– TU Eindhoven; Reijnders et al, SAE Technical paper 2013-24-0108, 2013, doi:10.4271/2013-24-0108

● Poultry farm

● Tyre/road wear (spiked tyres, asphalt concrete pavement)

F.R. Cassee | HEI webinar 2020

Gerlofs-Nijland et al. 2019

Page 17: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Oxidative potential– source specific PM2.5

Brake wear more potent than diesel particles based on PM mass – role of Cu

Toxicity of non-tailpipe emissions | ISES-ISEE 2018 August 28F.R. Cassee | HEI webinar 2020

Vitamin C depletion in test tube

Incr

ease

depl

etio

n

Page 18: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Ranking based on mice toxicity - inflammation markers

F.R. Cassee | HEI webinar 2020

Inflammatory cells

Define critical effect level, Construct dose-responseDerive benchmark dose

Page 19: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Conclusions ● Farm PM most potent to induce acute inflammation

● Considerable variability in the toxic potency of brake wear particles.

F.R. Cassee | HEI webinar 2020

The more to the left the higher the toxic potency

Gerlofs-Nijland et al. 2019

95% Confidence intervals

BW=Brake wear

Inflammatory cells

Page 20: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Comparison PM from chicken –pig - goat farms

BioPMMicro organisms as part of particulate matter

F.R. Cassee | HEI webinar 2020

Page 21: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

BioPM

PRRs

cytokines Inflammatory responseMuzio et al., 2012. MJHID, Vol 4, No 1

BioPM activated innate immune receptors and cellsEach receptorrelated to activationby micro organismgroup

F.R. Cassee | HEI webinar 2020

Toll like receptors play a crucial role in the proper function of the innate immune system

Page 22: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

BioPMSource / farm

TLRs

TLR2 TLR3 TLR4 TLR5 TLR7 TLR8 TLR9

Chicken + - + - - - -

Pig + - + + - - -

Goat + - + - - - -

PM urban - - - - - - -

“ + ” activation “ – ” minor or no

Ligands Lipo-protein

Double stranded RNAs

LPS/endotoxin

Flagellin Single stranded RNAs

Single stranded RNAs

CpG Micro-bial DNA

Summary of Toll like receptor activation:

F.R. Cassee | HEI webinar 2020

Potentially different effects due to different activation

Page 23: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Inflammation in mice exposed to PM

F.R. Cassee | HEI webinar 2020

Chicken Pig

GoatDEP

0

50000

100000

150000

200000

BALF cellularity NeutrophilsN

eutr

ophi

ls in

BA

LFSal 0ugSal 0.9ugSal 3ugSal 9ugOVA 0ugOVA 0.9ugOVA 3ugOVA 9ug

*

**

*

*

* *

*

**

* significantly different from respective 0 ug BioPM group (p < 0.05)

NANA

Allergic

Healthy

Stronger responses bioPM vs diesel

Page 24: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Inflammation dose and source dependent and stronger in allergy model

Inflammation in mice exposed to PM

F.R. Cassee | HEI webinar 2020

Chicken versus pig PM

Liu et al., World Allergy Organ J. 2020 Apr 3;13(4):100114

Page 25: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Conclusions● Not all PM is equally potent on a per gram mass basis

– See also Cassee et al., Inhal Toxicol. 2013 Dec;25(14):802-12.

● Differences in toxicity among sources depend on outcome as well as organs

● Combustion in engines: differences between road and air traffic, most likelydue to size difference

● Biological fraction in PM understudied, but seems rather potent compared todiesel PM for airway diseases

● Risk is related to both the toxic potency and the level of exposure/dose

● Source apportionment approaches are the way forward to help policies

F.R. Cassee | HEI webinar 2020

Page 26: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

Acknowledgements● Jim Wagner● Ryan Lewandowski● Jack Harkema

● Rene Lutter● Linsey de Groot● Marije Lammers● Anke-Hilse Maitland

● Dingyu Liu● Miriam Gerlofs-Nijland● Wim de Jong● Rob Vandebriel● Elena Pinelli● Rob Mariman● John Boere● Paul Fokkens● Daan Leseman

● Mark R. Miller● Shea Connell● Ian Smith

● Roel Schins● Harm Heusinkveld● Catrin Albrecht● Tina Wahle● Julia Koling

● Costas Sioutas● Milad Pirhadi● Amirhosein Mousavi● Mohammad H. Sowlat

● Julie Morrisey● Louise Corscadden

F.R. Cassee | HEI webinar 2020

Page 27: Advances in contributions of toxicology to the ...BMI (kg/m2) 22.6 (2.4) 19.3-26.1 FVC (% of predicted) 113 (11) 88 – 134 FEV1 (% of predicted) 106 (13) 85 – 132 FeNO (ppb) 15.0

F.R. Cassee | HEI webinar 2020