Biomarkers and risk assessment for Deoxynivalenol

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Biomarkers and risk assessment for Deoxynivalenol Chidozie J. Amuzie DVM, PhD Department of Pathobiology and Diagnostic Investigation Michigan State University

Outline Overview of Deoxynivalenol and its toxicity Uncertainty in risk assessment of Deoxynivalenol Use of biomarkers to reduce uncertainty Identification of a biomarker for Deoxynivalenol s effects Potential application of the present biomarker 3

Deoxynivalenol (DON) A trichothecene compound secondary metabolite of fungi mostly elaborated by Fusarium sp In food commonly detected in grains not destroyed by milling processes regular contaminant of processed food 4

Effects of DON Kinetics rapidly absorbed and distributes to many tissues detoxified by glucuronidation and de-epoxidation Acute effects vomiting nausea Chronic effects feed refusal Weight gain reduction (growth retardation) 5

Proposed molecular mechanism of DON toxicity Ribosome DON Conformational change Protein Kinases polysome formation transcriptional activation increased mrna stabilty selective mrna translation Central event in DON exposed animals altered proteome, inflammatory cytokines 6 immune stimulation anorexia, reduced weight gain tissue injury/ remodeling adapted from Bae, Hee Kyong

Risk assessment of DON Iverson, F., et al, 1995. Teratog Carcinog Mutagen 15:283-306. Compound Critical effect: Growth retardation Uncertainty/ Safety factor Tolerable daily intake DON 0.1 (mg/kg bw/day) (NOAEL) 100 1 (ug/kg bw/day) Tritscher A.M (2004) Toxicol Lett. 153(1):155-63 7 NOAEL=No observed adverse effect level

Why 100 fold safety factor? This factor of 100 appears to be high enough to reduce the hazard of food. Lehman, A. and Fitzhugh, O. (1954). Food Drug Officials of the US Quarterly Bulletin XVIII (1):33-35. Inherent assumptions Similar effects occur in humans and laboratory animals Humans are 100 times more sensitive to toxins than laboratory animals 8

How much DON is hazardous in diets? 9 Schothorst et al, Toxicol. Lett. 153 (1) :133-43, 2004

How much DON is hazardous for human diets? World Deoxynivalenol limits Country Uruguay USA Switzerland Russia Japan Indonesia EU* Hungary China Canada Adult Infant 0 200 400 600 800 1000 1200 1400 Regulatory limit in food (ppb) 10 FAO, 2003 Worldwide regulations for mycotoxins in food and feed in 2003. Food and Nutrition Paper No.81.

Relationship between Tolerable daily intake and NOAEL French infants (95th percentile) French adults (95th percentile) Dutch infants (95th percentile)* UK adults French infants (mean) French adults (mean) 0.1 1 10 100 μg/kg bodyweight per day 11

12 Risk communication is very critical

13 Risk communication is very critical

Risk assessment of DON use biomarkers knowledge to define susceptible population Human health Food supply Risk assessment Biomarkers are parameters of injury or toxicity in animals or patients that help diagnose or monitor a disease process, predict outcome or evaluate therapeutic intervention (Lock and Bonventre 2008) 14

Risk assessment paradigms Traditional Mice exposed to DON Mechanism-based Mice exposed to DON???? Understand mechanism Identify biomarkers of exposure and effect Critical effect and dose determined Critical dose divided by safety factor (100) Does critical effect occur in humans? If so, at what dose? Critical effect and dose determined Critical dose divided by chemical-specific safety factor Exposure assessment Exposure assessment linked with biomarkers of effect Regulatory limit

Plasma DON as biomarker of DON exposure 16 Amuzie, C.J et al 2008, Toxicology 248, 39-44

Cytokines as transient biomarkers 17 Amuzie, C.J et al 2008, Toxicology 248, 39-44

Conclusion from cytokine studies Regardless of exposure route, DON is distributed to many tissues induces proinflammatory cytokines in many tissues Nasal exposure results in greater cytokine upregulation and tissue DON concentration Proinflammatory cytokine upregulation is a transient marker of DONs effect 18

Identification of biomarker of DON s effect feed DON cytokine induction growth reduction 0 2???? 2 Hours Weeks Goals Identify potential markers of effect Understand mechanism of action Integrate acute and subchronic observations

Growth hormone resistance Reduced growth rate despite growth hormone sufficiency congenital (gene mutation) sepsis (endotoxin) Foodborne mycotoxins impair growth Aflatoxins associated with impaired growth in children Deoxynivalenol impairs growth in several species Swine are very sensitive

Review of growth hormone signaling Anterior pituitary Liver and other targets I IGFBP3 IGF1 Insulin-like growth factor (IGF1) and binding partners IGFALS

Suppressors of cytokine signaling (SOCS) Cytokine-inducible suppressors of signaling inhibit GH-induced STAT phosphorylation impair GH-induced gene expression 22 Turnley AM, 2005. Trends in Endo. and Metabolism 16 (2): 53-58

DON induces cytokine suppressors of cytokine signaling 3 in hepatocytes Relative mrna expression DON Amuzie, C.J., et al 2009, Toxicol Sci. Oct;111(2):277-87)

DON induces cytokine suppressors of cytokine signaling 3 in hepatocytes Vehicle DON

Time course of SOCS3 induction in liver 2 hour 3 hour 25 4 hour 5 hour DON 12.5 mg/kg bw oral gavage staining with anti-socs3 antibody

DON suppresses IGFALS Amuzie, C.J., et al 2009, Toxicol Sci. 2009 Oct 4 (epub)) IGFALS=Insulin-like growth factor acid labile subunit

Dietary DON suppresses IGFALS mrna 27 Relative mrna expression 120 100 80 60 40 20 0 Igfals Control DON 0 2 4 6 8 Time (wk)

DON suppresses circulating IGF1 and IGFALS DON equivalents ng/ml Plasma DON Concentration 80 Control DON 60 40 20 0 0 2 4 6 8 Time (wk) Amuzie, C.J., et al 2009, Toxicol Sci. 2009 Oct 4 (epub))

DON suppresses growth in mice Growth retardation in mice 0 2 4 6 8 wks Amuzie, C.J., et al 2009, Toxicol Sci. 2009 Oct 4 (epub))

Summary of DON s biomarker of effect pathway GH DON IL-6 py705 JAK py705 py905 STAT 3 Y915 1 JAK Y py Y705 STAT 5 1. Inhibition of GH-induced signaling 2. Reduced GH-induced mrna transcription SOCS3 2 3. Reduced circulating IGF1 and IGFALS 4. Growth suppression 30

Potential application of DON biomarker Measure IGFALS and IGF1 in high risk DON exposure groups Correlate with plasma/urinary DON levels Correlation (yes/no) will inform regulatory policy 31

Diet forms affect NOAEL and LOAEL 24 PELLET 24 POWDER Weight (g) 22 20 18 16 14 * * AIN (g) AIN + 0.4 ppm DON AIN + 0.7 ppm DON AIN + 1.9 ppm DON AIN + 3.6 ppm DON AIN + 5.8 ppm DON 22 20 18 16 14 * * * * * * *? 12 0 2 4 6 8 10 12 0 2 4 6 8 10 Time (wk) Preliminary data from Flannery

Acknowledgements Junko Shinozuka, DVM, PhD Gregg Bogossian, PhD 33