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Indian Pediatr 2019;56:
63-66 |
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Is Autism Spectrum
Disorder in Early Childhood Related to Antenatal Exposure to Air
Pollution?
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Source Citation:
Pagalan L, Bickford C, Weikum W, Lanphear B, Brauer M, Lanphear N, et
al. Association of prenatal exposure to air pollution with autism
spectrum disorder. JAMA Pediatr. 2018 Nov 19.
doi:10.1001/jamapediatrics.2018.3101 [Epub ahead of print].
Section Editor: Abhijeet Saha
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Summary
This case-control study was conducted to evaluate the
association between prenatal exposures to airborne pollutants and autism
spectrum disorder (ASD) in a large population-based cohort. Population
comprised of all births in Metro Vancouver, British Columbia, Canada,
from 2004 through 2009, with follow-up through 2014. Diagnosis of ASD
was based on standardized assessment with the Autism Diagnostic
Interview–Revised and Autism Diagnostic Observation Schedule. Mean
exposures to particulate matter with a diameter less than 2.5 µm (PM
2.5), nitric oxide (NO), and nitrogen dioxide (NO 2)
at the maternal residence during pregnancy were estimated monthly with
temporally adjusted, high-resolution land use regression models. Sample
size for the PM2.5-adjusted model was 129 439 children, and for NO and
NO2, it was 129 436
children; of these, 1276 (1.0%) were diagnosed with ASD. The association
between prenatal air pollution exposures and the odds of developing ASD
was evaluated using logistic regression adjusted for various parameters.
Authors concluded that adjusted odds ratios for ASD per interquartile
range (IQR) were significant for exposure of NO, and non-significant for
PM2.5 and NO2.
Commentaries
Evidence-based Medicine Viewpoint
Relevance: Autism, or more correctly Autism
Spectrum Disorder (ASD) is a growing problem in developed as well as
developing countries. Its etiology has not been clearly delineated
although genetic factors and environmental exposures in early life have
been implicated. Although there is supporting evidence for both streams
of thought, conclusive proof is lacking.
Environmental pollution is suspected to be linked to
development of ASD, and individual studies have resulted in systematic
reviews on the issue. One such review examining exposure to
environmental toxins during the pre-conception period, pregnancy and
early postnatal life reported association of ASD with air pollutants,
pesticides, phthalates, solvents and polychlorinated biphenyls, with
less consistent effects with heavy metals [1]. The data were
insufficient to confirm whether exposure during a specific trimester,
compared to throughout pregnancy or the postnatal period, was more
likely to be associated with ASD. Another review reported small but
statistically significant higher odds of developing ASD with prenatal
(but not postnatal) exposure to PM10 (particulate matter with mean
diameter <10.0 µm) and an even more impressive odds with exposure to
PM2.5 (particulate matter with mean diameter <2.5 µm) [2]. However, a
recent review with data from multiple studies failed to show a
statistically significant higher risk of developing ASD with increased
exposure to PM2.5 and NO 2
during pregnancy [3]. Yet another systematic review reported an
association between exposure to phthalate and development of ASD [4]. In
contrast, one systematic review failed to find an association with
exposure to neonicotinoids [5]. In summary, although exposure to various
air pollutants during the period of brain development could be
associated with later development of ASD, there is no robust proof. This
is partly because of issues with study design, small sample sizes,
variable definitions of ASD, difficulties in accurate estimation of
exposure and/or timing of exposure, and multiplicity of confounding
factors.
Against this backdrop of uncertainty, Pagalan, et
al. [6] reported this case-control study attempting to iron out the
deficiencies in previous studies exploring whether exposure of pregnant
women to specific air pollutants is associated with ASD in their
offspring. The investigators examined the entire birth cohort in Metro
Vancouver (British Columbia province of Canada) over a five-year period
(2004-2009), following up the offspring till five years of age. Cases
were those diagnosed with ASD, and controls were all the other children
in the birth cohort. The specific exposures assessed were PM2.5, nitric
oxide, and nitrogen dioxide. Outcomes were presented as adjusted odds
ratio (aOR) for ASD (cases versus controls) for exposure to each
of the three specific pollutants. The aOR for ASD with exposure during
pregnancy were 1.07 (95% CI 1.01, 1.13) per 10.7 ppb IQR increase in NO;
1.04 (95% CI 0.98, 1.10) per 1.5 µg/m 3
IQR increase in PM2.5; and 1.06 (95% CI 0.99, 1.12) per
4.8 ppb IQR increase in NO2.
The investigators also identified that children with ASD were more often
males, born to older age and multiparous mothers, and belonged to
lower-income families. They concluded an association between NO exposure
during pregnancy and subsequent development of ASD in the offspring,
although their suggestion that reduced exposure to NO could reduce ASD
occurrence is speculative, and not based on the data presented.
Critical appraisal: This was a carefully planned
and well-executed study. Although a research question was not
articulated, one can be derived as follows: Does high(er) exposure to
PM2.5, nitric oxide, and nitrogen dioxide during pregnancy (E=Exposure),
compared to low(er) exposure (C=Comparison) result in ASD (O=Outcome)
among offspring born to these mothers (P=Population)? Although it
can be argued that a comparative prospective cohort study is superior to
address the question, financial and logistic considerations make a
case-control design an attractive option.
The population base for this study was clearly
defined in terms of geographic location as well as timeframe. Almost the
entire birth cohort over a five-year period was eligible. Multiple
databases were scoured to complete the list of eligible pregnancies
delivered in institutions as well as at home. These databases enabled
identification of gestational age, birth weight, postnatal morbidities,
residence and socio-economic status.
Cases were identified using the diagnostic criteria
for ASD prevalent in the region. These were based on two standardized
instruments used by all clinicians in the region; thus, inter-observer
practice variations were eliminated. However, the relationship of these
to the current ‘Diagnostic and Statistical Manual of Mental Disorders,
Fifth Edition’ (DSM-5) criteria is unclear.
As the control group comprised of the entire birth
cohort minus cases, issues such as selection bias, representativeness,
matching, confounding and temporal variations in exposure were all
neatly eliminated. The investigators chose covariates judiciously,
including gender, birth month and year, maternal age, maternal country
of origin, and socio-economic status.
Meticulous attention was paid to ascertainment of
exposure to the three pollutants with quantification of exposure. This
was done by using previously validated methods to obtain air quality
data throughout the selected area within units as small as 10 square
meters. Thus, the quantity of pollutants at the precise address of each
pregnant woman could be determined with considerable accuracy. This
facilitated calculation of exposure on a monthly basis, trimester basis
and throughout pregnancy. However, the data were shown only for the
model representing the entire duration of pregnancy.
Despite considerable effort to minimize bias in this
study, some issues deserve attention. For example, it appears that
outcome was not ascertained at the age of five years in all children. In
fact, the median age for outcome measurement was 4.2 years. The
reason(s) for this have not been clarified. It is also unclear whether
the median age differed among cases and controls. Since the detection of
ASD was through an apparently reactive mechanism (i.e. those with
suggestive symptoms underwent detailed examination for a diagnosis),
rather than a proactive system (i.e. universal screening of all
children at an early age), it is possible that some cases could have
been missed either because they were not brought to the notice of
clinicians, or their symptoms were mild(er) enough to be missed at the
age of outcome ascertainment.
One interesting finding (in this study) that has not
been explored is the higher prevalence of ASD observed among children of
mothers born in the Philippines and Vietnam, but lower prevalence when
mothers were born in India or Hong Kong. The proportion of children with
ASD was comparable to the general population among mothers born in
China. These are intriguing observations because ASD prevalence is
reported to be higher among immigrant families, although (to be fair)
maternal birth place does not indicate the timing of immigration.
Can we conclude a causal relationship between air
pollutants and development of ASD from this study? Although some of the
Bradford-Hill criteria [7] are fulfilled viz Theoretical
plausibility, Coherence (to some extent), Dose response relationship
(partially), most of the criteria are not met. For example, the
‘Strength of association’ is weak at best, and that too for only one
pollutant. The criterion of Temporality can be presumed to be fulfilled
since exposure during pregnancy precedes the outcome (ASD). However,
exposure ascertainment was done in a retrospective manner. Further, the
study did not consider the impact of ongoing postnatal exposure to air
pollutants on the development of ASD. Overall, there is limited
consistency in the available data for assigning a causal role to air
pollution exposure in pregnancy and the development of ASD in the
offspring. Some of the inconsistencies have been described already.
Perhaps the most serious threat to causality is with
the criterion ‘Specificity in the causes.’ Like most complex disease
conditions, ASD also probably results from a complex interplay of both
genetic (nature) and environmental (nurture) factors, rather than either
alone. Thus any potential ‘cause’ of ASD should be able to explain the
well-known variations in incidence/prevalence. For example, if air
pollution during pregnancy is a ‘cause’ of ASD, there should be an
explanation for the wide variation in prevalence between boys and girls,
as well as higher incidence in some families.
Could air pollution have gender-specific effects? A
recent systematic review exploring whether environmental toxins could
have a gender-specific effect reported that exposure to thimerosal, some
organochlorine pesticides, and even environmental pollution were
associated with greater neurotoxicity among boys than girls with similar
exposure [8]. Less consistent but significant effect on boys were
observed with exposure to organophosphorus pesticides, and
polychlorinated biphenyls. Another recent review suggested that the link
between nature and nurture in development of ASD could be through
epigenetic modifications [9]. Likewise, a systematic review exami-ning
potential genetic susceptibility to environmental toxins reported that 8
of 10 included studies identified several polymorphisms to be far more
common in those with ASD than unaffected individuals [1].
It is well recognized that children belonging to
immigrant families/communities have a higher risk of developing ASD than
those born to native mothers [10]. This study [6] also showed some
variations on the basis of maternal ethnicity. However, there was no
consistency in terms of the country of origin of the mothers (as
explained previously).
Conclusion: This well conducted case control
study showed a weak association between maternal exposure to nitric
oxide (air pollution) during pregnancy and the subsequent identification
of ASD in their offspring. However, the study does not contribute to
building a cause-and-effect hypothesis between pollution and ASD.
Funding: None; Competing interests: None
stated.
Joseph L Mathew
Department of Pediatrics,
PGIMER, Chandigarh, India.
Email: [email protected]
References
1. Rossignol DA, Genuis SJ, Frye RE.
Environmental toxicants and autism spectrum disorders: a systematic
review. Transl Psychiatry. 2014;4:e360.
2. Lam J, Sutton P, Kalkbrenner A, Windham G,
Halladay A, Koustas E, et al. A systematic review and
meta-analysis of multiple airborne pollutants and autism spectrum
disorder. PLoS One. 2016;11:e0161851.
3. Flores-Pajot MC, Ofner M, Do MT, Lavigne E,
Villeneuve PJ. Childhood autism spectrum disorders and exposure to
nitrogen dioxide, and particulate matter air pollution: A review and
meta-analysis. Environ Res. 2016;151:763-76.
4. Jeddi MZ, Janani L, Memari AH, Akhondzadeh S,
Yunesian M. The role of phthalate esters in autism development: A
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5. Cimino AM, Boyles AL, Thayer KA, Perry MJ.
Effects of neonicotinoid pesticide exposure on human health: a
systematic review. Environ Health Perspect. 2017;125:155-62.
6. Pagalan L, Bickford C, Weikum W, Lanphear B,
Brauer M, Lanphear N, et al. Association of prenatal exposure
to air pollution with autism spectrum disorder. JAMA Pediatr 2018
Nov 19. doi:10.1001/jamapediatrics.2018.3101. [Epub ahead of print].
7. No authors listed. The Bradford Hill Criteria.
Available from: http://www.southalabama.edu/coe/bset/johnson/bonus/Ch11/Causality%20criteria.pdf.
Accessed December 10, 2018.
8. Kern JK, Geier DA, Homme KG, King PG,
Bjřrklund G, Chirumbolo S, et al. Developmental
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Environmental Health Viewpoint
Effect of air pollution on human health is the most
complex yet important aspect of public health, and the spectrum of
diseases that list air pollution as one of the key risk factors is ever
expanding. In case of congenital and acquired neurological and
neuropsychiatric disorders, role of air pollution is being studied with
interest. Strong evidence of association with preeclampsia, abortions,
and preterm birth, low birth weight and intrauterine growth retardation
exists in literature [1-6]. Similarly, studies point at air pollution
being a risk factor for Attention Deficit Hyperactivity Disorder (ADHD)
[7].
This paper [8] examines the role of air pollution in
Autism Spectrum Disorder (ASD). Of the three pollutants examined, nitric
oxide (NO) showed a significant association. NO is a known molecule to
effect the nervous system; hence, it’s effect holds biological
plausibility. PM 2.5 was not
significantly associated with ASD, the reason being that the particulate
matter is a mixture of several particles, and it is difficult to
identify a particular molecule that could increase the risk. The
strengths of the study are that it has a large sample size, and exposure
parameters are based on good quality data covering the entire period of
pregnancy. The regression model is adjusted for several known
confounders and it incorporated land use regression model with high
temporal resolution; it takes into account variations in pollutant
concentration at short distances. But the study was conducted in areas
where pollutant concentrations were low, almost within normal limits.
This model cannot be applied to developing countries like India, where
the concentration of PM2.5
and other pollutants may be 4- to 15-fold higher and linear
extrapolation may not work. Further, it must be seen in context of ASD
incidence in Indian rural and urban population. Nonetheless it
substantiates the need for controlling air pollution to reduce risk of
ASD and other disorders.
Funding: None; Competing interests: None
stated.
Arun Sharma
Department of Community Medicine,
University College of Medical Sciences, Delhi, India.
Email: [email protected]
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4. Salam MT, Millstein J, Li YF, Lurmann FW,
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6. Slama R, Thiébaugeorges O, Goua V,
Annesi-Maesano I, Sacco P, Bohet A, et al. Maternal personal
exposure to benzene during pregnancy and intrauterine growth.
Environ Health Perspect. 2009;117:1313-21.
7. Siddique S, Banerjee M, Ray MR, Lahiri T.
Attention-deficit hyperactivity disorder in children chronically
exposed to high level of vehicular pollution. Eur J Pediatr.
2011;170:923-9.
8. Pagalan L, Bickford C, Weikum W, Lanphear B, Brauer M, Lanphear N,
et al. Association of prenatal exposure to air pollution with
autism spectrum disorder. JAMA Pediatr 2018 Nov 19.
doi:10.1001/jamapediatrics.2018.3101. [Epub ahead of print].
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