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Kawasaki Disease: Is the answer blowinin the wind? Jane C. Burns, M.D. Director Professor and Chief, Division of Allergy and Immunology Dept. of Pediatrics Univ. of California San Diego School of Medicine

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Page 1: Kawasaki Disease: Is the answer blowin in the wind? - …idash.ucsd.edu/sites/default/files/events/webinar_answer_blowin... · Kawasaki Disease: Is the answer blowin’ in the wind?

Kawasaki Disease: Is the answer blowin’ in the wind?

Jane C. Burns, M.D.

Director

Professor and Chief, Division of Allergy and Immunology

Dept. of Pediatrics Univ. of California San Diego School of Medicine

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Kawasaki Disease (KD)   Acute self-limited vasculitis of

unknown etiology   Coronary artery aneurysms

develop in 25% of untreated children

  Early treatment with IVIG reduces risk of aneurysms

  Most common cause of acquired pediatric heart disease in developed countries

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Genetics

Gene expression

mirRNA

Proteomics

Biomarker discovery

Epidemiology and risk factor analysis

Clinical trial of infliximab

Endothelial cell function

KD Climate Project

BENCH RESEARCH CLINICAL RESEARCH

Adult KD Collaborative

UCSD/RCHSD Kawasaki Disease Research Center

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Burns Laboratory 2011

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Kawasaki Disease incidence, RCHSD 2000-2010

KD

cas

es /

100,

000

< 5

yrs.

0

5

10

15

20

25

30

35

40

45

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

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Race/ethnicity-specific rates of KD RCHSD, 2000-2010

KD

cas

es/ 1

00,0

00 <

5 yr

s.

0

10

20

30

40

50

60

70

80

90

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

Asian

African-American

Caucasian

Hispanic

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Proposed KD Paradigm 2011 Infectious

trigger

Genetically susceptible host

Manifests immunologic reaction (clinical KD)

Genetically determined outcome (can be modified by treatment)

Genetically resistant host

Asymptomatic infection

Immunity

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Attack rate: 215 cases/100,000 Children < 5yrs. Greater than 12,000 new cases/yr. One out of every 185 children in Japan will develop KD during the first ten years of life

Current status of KD in Japan

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Kawasaki disease: A climate connection?

US Team

Hiroshi Yanagawa Yosikazu Nakamura Ritei Uehara Mayumi Yashiro Tomisaku Kawasaki

Japanese Team

Dan Cayan Emelia Bainto Jane C. Burns Marian Melish Ian Lipkin

Catalan Team Xavier Rodo Joan Ballester Jordi Anton

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Hypothesis: Phase I

• KD cases cluster in time and space » KD has a seasonal occurrence

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Methods: Seasonality for Japan

• 135,027 KD cases from 1979-1998 (19 yrs) » Determined average incidence (# cases/day) for

each month and each prefecture » Ranked each month for each prefecture on a

1-12 scale, red=highest, blue=lowest

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1 2 3 4

9

75 8 6

11 10 12

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Methods: Seasonality for California

• 3,677 KD cases from1990-1999 (10 yrs) » Divided data set into northern and southern CA » Graphed average # cases/day for each month

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California KD Cases, 1990-99, average # cases/day by month

Aver

age

# ca

se/d

ay

Aver

age

# ca

se/d

ay

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Summary of Phase I

• Clustering of cases and marked seasonality of KD in both Japan and California suggest the possibility of an environmental trigger

• Further exploration of climate variables was undertaken for the Japan, Hawaii, and Western U.S.

Burns et al. Epidemiology 2004

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Hypothesis: Phase II

• Climate-related factors trigger KD » A regional-scale climate pattern

precedes the onset of a KD cluster

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Phase II: KD Climate Analyses

  Analysis of climate patterns found highly significant link between tropospheric winds and KD cases »  Usual prevailing winds blow from the south across

Japan in a northwesterly direction »  Twice a year, this wind pattern reverses and winds

blow from Central Asia across Japan and the Pacific Ocean

»  Change in wind pattern is tightly linked to increases and decreases in KD cases

  3 major KD epidemics in Japan associated with strong wind pattern from the northwest

Rodo et al. Nature Sci Rep 2011

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Phase II: Major Peaks of KD in Japan

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Average winter tropospheric winds (300hPa) crossing from Asia to North Pacific Climatological (many years averaged) January values are depicted in map b) for geopotential height at 300 hPa (m) and winds at 300 hPa (m/s). Wind scale is shown at the top-left corner in b).. Panel d) depicts the seasonal cycle of the Pacific Zonal Wind Index (P-WIND, m/s) from earth’s surface to the top of the troposphere.

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. KD and surface winds in Japan (a), San Diego (b) and Hawaii (c).

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Barcelona Hypotheses

The Barcelona meeting hosted by IC3 in September 2010 was attended by representatives from Japan, US and Western Europe

Hypothesis #1:   Tropospheric winds carry an agent that when inhaled by

genetically susceptible infants and children causes KD Hypothesis #2:   The KD agent is transmitted through aerosolized dust

particles that originate from the plains of Central Asia Hypothesis #3:   The diversion of water from the Aral Sea in the 1940s

created a new source of aerosolized particles that include the KD agent and thus explain the new appearance of KD in Japan in the 1950s and 1960s

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Collaboration with Hiroshi Tanimoto National Institute of Environmental Science Tsukuba, Japan

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AIRCRAFT DUST SAMPLING MARCH 4, 2011

MAXIMUM ALTITUDE 3,000 M SAMPLING TIME 2H 20 MIN

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0

50

100

150

200

250 N

o.of

pat

ient

s

Month of diagnosis

Web-based KD surveillance in Japan

2010 2011 Dec. Jan. Feb. March April May June

Air sample collection March 4th and 6th

Courtesy of Dr. Ritei Uehara

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Handling of filters

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Current research directions

 Barcelona team performing back-tracing of wind

  Ian Lipkin, Columbia University, NYC » Sequencing of biome of tropospheric dust

collected on filters » 18s and 16s rRNA PCR amplification for

bacteria, fungi, and yeast

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WIND Study Western U.S. INvestigation of Kawasaki Disease

 Consortium of Western U.S. Pediatric Hospitalists in California, Oregon, Washington, and Hawaii

 Principal Investigators: » Jane C. Burns, San Diego » Keith Vaux, San Diego » Jennifer Daru, San Francisco

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WIND Study

 Goal: Real-time surveillance of KD » Analysis of case clustering in space and time » Correlation with large scale climate variables » Can we predict seasonal fluctuations in KD?

 Methods »  Weekly web-based reporting of new KD

patients with zip code of residence and date of fever onset »  real-time graphing of results

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Future research directions

 Repeat air sampling during KD peak and non-peak seasons in Japan

 Molecular analysis of dust samples  WIND Study: Prediction of KD activity   Immunologic studies with patient cells

challenged with selected antigens identified from dust samples

 Antibody testing in acute and conv. sera