MEA-Based Graph Deviation Network for Early Autism Syndrome Signatures in Human Forebrain Organoids

  • Abstract
  • References
  • Similar Papers
Abstract
Translate article icon Translate Article Star icon
Take notes icon Take Notes

Multi-electrode arrays (MEAs) are a key enabling technology in the development of cybernetic systems, as they provide a means to understand and control the activity of neural populations linking brain microtissue dynamics with electronic systems. MEAs allow high-resolution, noninvasive recordings of neuronal activity, creating a powerful interface for investigating in vitro brain development and dysfunction. In this work, we introduce a novel deep learning framework based on a graph deviation network (GDN) to analyze spiking activity from human forebrain organoids (hFOs) and predict network-level alterations associated with autism spectrum disorder (ASD) risk. Our method extends traditional spike and burst analysis by encoding amplitude-modulated spike trains as dynamic graphs, enabling the extraction of meaningful topological descriptors. These graph-based features are then processed to detect deviations in network organization induced by neurodevelopmental perturbations. As proof of concept, we examine the impact of valproic acid (VPA), a known environmental ASD risk factor. VPA disrupts synaptic signaling in hFOs, reducing efficiency, increasing path length, and decreasing input connectivity. Despite biological variability, the GDN consistently detects early dysfunction within 24 h post-exposure and captures transient millisecond-level events. This supports MEA-coupled hFOs as predictive platforms for ASD risk assessment and real-time neurotoxicity screening.

ReferencesShowing 10 of 55 papers
  • Open Access Icon
  • Cite Count Icon 2
  • 10.1088/1741-2552/ad647d
A fully automatic multichannel neural spike sorting algorithm with spike reduction and positional feature.
  • Aug 1, 2024
  • Journal of neural engineering
  • Zeinab Mohammadi + 3 more

  • Open Access Icon
  • Cite Count Icon 48
  • 10.1152/jn.91365.2008
High-Amplitude Positive Spikes Recorded Extracellularly in Cat Visual Cortex
  • Sep 30, 2009
  • Journal of Neurophysiology
  • Carl Gold + 3 more

  • Open Access Icon
  • Cite Count Icon 1140
  • 10.1038/nature22330
Assembly of functionally integrated human forebrain spheroids.
  • Apr 26, 2017
  • Nature
  • Fikri Birey + 15 more

  • 10.1007/s13534-024-00395-y
Unsupervised spike sorting for multielectrode arrays based on spike shape features and location methods.
  • Jun 3, 2024
  • Biomedical engineering letters
  • Shunan Zhao + 4 more

  • Open Access Icon
  • Cite Count Icon 6
  • 10.1088/1741-2552/acfb3a
DualSort: online spike sorting with a running neural network
  • Oct 1, 2023
  • Journal of Neural Engineering
  • L M Meyer + 2 more

  • Cite Count Icon 2
  • 10.1088/1741-2552/ad8b6c
Deep learning-based spike sorting: a survey.
  • Nov 14, 2024
  • Journal of neural engineering
  • Luca M Meyer + 3 more

  • Open Access Icon
  • Cite Count Icon 40
  • 10.1038/s41398-022-01898-x
Human forebrain organoids reveal connections between valproic acid exposure and autism risk
  • Mar 29, 2022
  • Translational Psychiatry
  • Qingtuan Meng + 7 more

  • Open Access Icon
  • Cite Count Icon 4
  • 10.1093/neuros/nyx590
A Sordid Affair: Spike Sorting and Data Reproducibility.
  • Mar 1, 2018
  • Neurosurgery
  • Heidi Y Febinger + 2 more

  • Open Access Icon
  • Cite Count Icon 76
  • 10.1080/17460441.2020.1791079
Automated patch clamp in drug discovery: major breakthroughs and innovation in the last decade
  • Jul 10, 2020
  • Expert Opinion on Drug Discovery
  • Alison Obergrussberger + 3 more

  • Open Access Icon
  • PDF Download Icon
  • Cite Count Icon 505
  • 10.1038/s41586-023-05828-9
Fast and sensitive GCaMP calcium indicators for imaging neural populations
  • Mar 15, 2023
  • Nature
  • Yan Zhang + 23 more

Similar Papers
  • PDF Download Icon
  • Research Article
  • Cite Count Icon 18
  • 10.3389/fmed.2022.1052806
Impact of parental rheumatoid arthritis on risk of autism spectrum disorders in offspring: A systematic review and meta-analysis
  • Nov 10, 2022
  • Frontiers in Medicine
  • Cheuk-Kwan Sun + 8 more

BackgroundTo investigate the association of risk of offspring autism spectrum disorder (ASD) with both maternal and paternal rheumatoid arthritis (RA).MethodsThe Embase, Medline, Cochrane Library databases were searched for studies that investigated the association of parental RA with risk of offspring ASD. The primary outcome was the associations of maternal/paternal RA with the risk of offspring ASD. Subgroup analyses were conducted based on the timing of maternal RA diagnosis (i.e., before/after childbirth) and geographical location (i.e., Western vs. Asian countries) of studies.ResultsTen studies published between 2005 and 2022 involving 6,177,650 participants were analyzed. Pooled results revealed a significant association between maternal RA and the risk of ASD (OR = 1.246, p < 0.001, 10 studies), while there was no association of paternal RA with the risk of offspring ASD (OR = 1.104, p = 0.253, four studies). Subgroup analysis demonstrated no correlation between diagnosis of maternal RA before childbirth and the risk of offspring ASD (OR = 1.449, p = 0.192, four studies), while there was a significant association of maternal RA regardless of the timing of diagnosis with the risk of offspring ASD (OR = 1.227, p = 0.001, six studies). Subgroup analysis on geographical location showed a significant association of maternal RA with the risk of offspring ASD regardless of the study location (all p < 0.05).ConclusionOur findings supported an association between maternal RA and an elevated risk of ASD in offspring. However, given the limited numbers of studies investigating the risk of offspring ASD in mothers diagnosed with RA before childbirth, further studies are warranted to elucidate this issue.Systematic review registration[www.crd.york.ac.uk/prospero/], identifier [CRD42022358470].

  • PDF Download Icon
  • Research Article
  • Cite Count Icon 5
  • 10.1016/j.lanepe.2024.100902
Association between parental psychiatric disorders and risk of offspring autism spectrum disorder: a Swedish and Finnish population-based cohort study
  • Apr 23, 2024
  • The Lancet Regional Health - Europe
  • Weiyao Yin + 11 more

SummaryBackgroundRoughly more than one in six adults worldwide suffer from psychiatric conditions. Sporadic studies have associated parental psychiatric disorders with autism spectrum disorder in offspring. Comprehensively examining the association between parental psychiatric disorders and offspring autism spectrum disorder is needed to guide health policies, and to inform etiologic studies.MethodsWe included all children born in Sweden and Finland 1997–2016. Diagnoses were clinically ascertained from National Registers through 2017. We calculated adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for autism spectrum disorder in offspring of fathers and mothers with psychiatric disorders, in both parents jointly and across co-occurring conditions.FindingsAmong 2,505,842 children, 33,612 were diagnosed with autism spectrum disorder, of which 20% had a parent with psychiatric disorders. The risk of autism spectrum disorder was increased across all psychiatric disorders in fathers (Sweden: aHR = 2.02, 95% CI = 1.92–2.12; Finland: aHR = 1.63, 95% CI = 1.50–1.77), mothers (Sweden: aHR = 2.34, 95% CI = 2.24–2.43; Finland aHR = 2.12, 95% CI = 1.92–2.28), or both parents (Sweden: aHR = 3.76, 95% CI = 3.48–4.07; Finland aHR = 3.61, 95% CI = 3.20–4.07), compared to neither parents. Co-occurrence of parental psychiatric disorders further increased risk (e.g., Sweden: for one, two or ≥three different diagnostic categories compared to no diagnosis, in fathers aHR = 1.81, 2.07, 2.52; in mothers aHR = 2.05, 2.63, 3.57).InterpretationPsychiatric disorders in both parents conveyed the highest risk of offspring autism spectrum disorder, followed by mothers and then fathers. The risk increased with number of co-occurring disorders. All parental psychiatric disorders were associated with increased the risk of autism spectrum disorder. To reliably assess the risk of autism spectrum disorder in children, a comprehensive history incorporating the full range of parental psychiatric disorders is needed beyond solely focusing on familial autism spectrum disorder.FundingSwedish-Research-Council-2021-0214.

  • Research Article
  • Cite Count Icon 11
  • 10.1155/2021/4150926
Association between Genetic Variants in DUSP15, CNTNAP2, and PCDHA Genes and Risk of Childhood Autism Spectrum Disorder.
  • Jun 28, 2021
  • Behavioural Neurology
  • Fang Fang + 7 more

Objective Genetic factors play an important role in the development of autism spectrum disorder (ASD). This case-control study was to determine the association between childhood ASD and single nucleotide polymorphisms (SNPs) rs3746599 in the DUSP15 gene, rs7794745 in the CNTNAP2 gene, and rs251379 in the PCDHA gene in a Chinese Han population. Methods Genotypes of SNPs were examined in DNA extracted from blood cells from 201 children with ASD and 200 healthy controls. The Children Autism Rating Scale (CARS) was applied to evaluate the severity of the disease and language impairment. The relationship between SNPs and the risk of ASD or the severity of the disease was determined by logistic regression and one-way ANOVA. Results The genotype G/G of rs3746599 in the DUSP15 gene was significantly associated with a decreased risk of ASD (odds ratio (OR) = 0.65, 95% confidence interval (CI): 0.42-0.99, P = 0.0449). The T allele of rs7794745 in the CNTNAP2 gene was associated with an increased risk of ASD (OR = 1.34, 95% CI: 1.01-1.77, P = 0.0435). The SNP rs251379 was not associated with ASD. Though none of the SNPs examined were associated with ASD severity, rs7794745 was associated with severity of language impairment. Conclusions Our findings suggest that both rs3746599 in the DUSP15 gene and rs7794745 in the CNTNAP2 gene are associated with risk of childhood ASD, and rs7794745 is also related to the severity of language impairment in autistic children from a Chinese Han population.

  • Abstract
  • 10.1016/s0924-9338(15)30184-x
Maternal Use of Prenatal Nutritional Supplements and Risk of Autism in the Stockholm Youth Cohort
  • Mar 1, 2015
  • European Psychiatry
  • B Lee + 2 more

Maternal Use of Prenatal Nutritional Supplements and Risk of Autism in the Stockholm Youth Cohort

  • Research Article
  • Cite Count Icon 40
  • 10.1038/s41398-022-01898-x
Human forebrain organoids reveal connections between valproic acid exposure and autism risk
  • Mar 29, 2022
  • Translational Psychiatry
  • Qingtuan Meng + 7 more

Valproic acid (VPA) exposure as an environmental factor that confers risk of autism spectrum disorder (ASD), its functional mechanisms in the human brain remain unclear since relevant studies are currently restricted to two-dimensional cell cultures and animal models. To identify mechanisms by which VPA contribute to ASD risk in human, here we used human forebrain organoids (hFOs), in vitro derived three-dimensional cell cultures that recapitulate key human brain developmental features. We identified that VPA exposure in hFOs affected the expression of genes enriched in neural development, synaptic transmission, oxytocin signaling, calcium, and potassium signaling pathways, which have been implicated in ASD. Genes (e.g., CAMK4, CLCN4, DPP10, GABRB3, KCNB1, PRKCB, SCN1A, and SLC24A2) that affected by VPA were significantly overlapped with those dysregulated in brains or organoids derived from ASD patients, and known ASD risk genes, as well as genes in ASD risk-associated gene coexpression modules. Single-cell RNA sequencing analysis showed that VPA exposure affected the expression of genes in choroid plexus, excitatory neuron, immature neuron, and medial ganglionic eminence cells annotated in hFOs. Microelectrode array further identified that VPA exposure in hFOs disrupted synaptic transmission. Taken together, this study connects VPA exposure to ASD pathogenesis using hFOs, which is valuable for illuminating the etiology of ASD and screening for potential therapeutic targets.

  • PDF Download Icon
  • Research Article
  • Cite Count Icon 5
  • 10.3389/fpsyt.2023.1254453
Maternal autoimmune disease and risk of offspring autism spectrum disorder - a nationwide population-based cohort study.
  • Nov 3, 2023
  • Frontiers in Psychiatry
  • Ching-Chu Chen + 2 more

Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders which cause long term social and behavior impairment, and its prevalence is on the rise. Studies about the association between maternal autoimmune diseases and offspring ASD have controversial results. The aim of this study was to investigate whether maternal autoimmune diseases increase the risk of ASD in offspring from a population-based perspective. The data sources were Taiwan's National Health Insurance Research Database (NHIRD) and Taiwan's Maternal and Child Health Database (MCHD), which were integrated and used to identify newborns whose mothers were diagnosed with autoimmune disease. Newborns were matched by maternal age, neonatal gender, and date of birth with controls whose mothers were without autoimmune disease using a ratio of 1:4 between 2004 and 2019. Data on diagnoses of autoimmune disease and autism spectrum disorders were retrieved from NHIRD. Patients who had at least 3 outpatient visits or at least 1 admission with a diagnosis of autoimmune disease and autism spectrum disorders were defined as incidence cases. The risks of ASD in offspring were compared between mothers with or without autoimmune disorders. We identified 20,865 newborns whose mothers had been diagnosed with autoimmune disease before pregnancy and matched them at a ratio of 1:4 with a total of 83,460 newborn whose mothers were without autoimmune disease, by maternal age, neonatal gender, and date of birth. They were randomly selected as the control group. The cumulative incidence rates of autism spectrum disorders (ASD) were significantly higher among the offspring of mothers with autoimmune diseases. After adjusting for cofactors, the risk of ASD remained significantly higher in children whose mother had autoimmune diseases. Regarding to specific maternal autoimmune disease, Sjögren's syndrome and rheumatoid arthritis were both associated with elevated risks of ASD in offspring. Mother with autoimmune disease might be associated with increasing the risk of autism spectrum disorder in offspring.

  • Research Article
  • Cite Count Icon 121
  • 10.1093/ije/dyv081
Maternal body mass index during early pregnancy, gestational weight gain, and risk of autism spectrum disorders: Results from a Swedish total population and discordant sibling study.
  • Jun 1, 2015
  • International Journal of Epidemiology
  • Renee M Gardner + 7 more

Background: Prenatal environmental factors such as maternal adiposity may influence the risk of offspring autism spectrum disorders (ASD), though current evidence is inconsistent. The objective of this study was to assess the relationship of parental BMI and gestational weight gain (GWG) with risk of offspring ASD in a population-based cohort study using family-based study designs.Methods: The cohort was based in Stockholm County, Sweden, including 333 057 individuals born 1984–2007, of whom 6420 were diagnosed with an ASD. We evaluated maternal body mass index (BMI) at first antenatal visit, GWG and paternal BMI at the time of conscription into the Swedish military as exposures using general estimating equation (GEE) models with logit link.Results: At the population level, maternal overweight/obesity was associated with increased risk of offspring ASD [odds ratio (OR)25 ≤ BMI < 30 1.31, 95% confidence interval = 1.21–1.41; ORBMI ≥ 30 1.94, 1.72–2.17], as was paternal underweight (ORBMI < 18.5, 1.19, 1.06–1.33) and obesity (ORBMI ≥ 30 1.47, 1.12–1.92) in mutually adjusted models. However, in matched sibling analyses, the relationship between elevated maternal BMI and ASD risk was not apparent. GWG had a U-shaped association with offspring ASD at the population level (ORinsufficient 1.22, 1.07–1.40; ORexcessive 1.23, 1.08–1.40). Matched sibling analyses were suggestive of elevated risk with excessive GWG (ORinsufficient 1.12, 0.68–1.84; ORexcessive 1.48, 0.93–2.38).Conclusions: Whereas population-level results suggested that maternal BMI was associated with ASD, sibling analyses and paternal BMI analyses indicate that maternal BMI may also be a proxy marker for other familial risk factors. Evidence is stronger for a direct link between GWG and ASD risk.

  • Research Article
  • Cite Count Icon 51
  • 10.1002/aur.2417
The Familial Risk of Autism Spectrum Disorder with and without Intellectual Disability
  • Oct 26, 2020
  • Autism Research
  • Sherlly Xie + 10 more

Autism spectrum disorder (ASD) is highly heritable, yet how its familial risk and heritability may vary by cognitive ability is not well understood. In this population‐based cohort study, we examined the familial risk and heritability of ASD with and without co‐occurring intellectual disability (ID). We estimated odds ratios and heritability of ASD with ID (ASD+ID) and ASD without ID (ASD−ID) using register‐based diagnosis data of 567,436 index persons born in 1984–2009 in Stockholm County, Sweden, and their parents, siblings, cousins, aunts, and uncles. The familial risk profile exhibited differences between ASD−ID and ASD+ID, most notably for index persons with affected parents. For example, for an index person who had at least one parent with ASD, the child's odds of ASD−ID and ASD+ID (95% confidence interval (CI)) increased by 16.2 (14.2–18.6) and 7.4 (5.5–10.0) folds, respectively. The more closely related a family member with ASD was, the greater the observed risk was of ASD in the index person, especially for ASD−ID. The broad‐sense heritability (95% CI) for ASD − ID and ASD+ID were 64.6% (46.0–100.0%) and 33.4% (14.4–58.4%), respectively. Familial risk and heritability of ASD may vary by intellectual ability, which implies that risk factors between these ASD phenotypes may differ. Our findings from the heritability analysis and familial risk analysis suggest that ASD−ID may have a greater genetic basis than ASD+ID, although this should be verified in future studies.Lay SummaryAutism spectrum disorder (ASD) is highly heritable, yet how its familial risk and heritability may vary by cognitive ability is not well‐understood. In a population‐based cohort study on families of 567,436 index persons using Swedish registers data, we found that the familial risk profile differed between ASD with and without intellectual disability. Our findings from the heritability analysis and familial risk analysis suggest that ASD−ID may have a greater genetic basis than ASD+ID, although this should be verified in future studies.

  • Research Article
  • Cite Count Icon 8
  • 10.1093/ije/dyaa246
Associations of parental birth characteristics with autism spectrum disorder (ASD) risk in their offspring: a population-based multigenerational cohort study in Denmark
  • Jan 7, 2021
  • International Journal of Epidemiology
  • Jingyuan Xiao + 10 more

Fetal exposure risk factors are associated with increased autism spectrum disorder (ASD) risk. New hypotheses regarding multigenerational risk for ASD have been proposed, but epidemiological evidence is largely lacking. We evaluated whether parental birth characteristics, including preterm birth and low birthweight, were associated with ASD risk in offspring. We conducted a nationwide register-based cohort study that included 230174 mother-child and 157926 father-child pairs in Denmark. Logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (CI) for offspring ASD according to parental preterm (<37 weeks) and low birthweight (<2500 g) status, with or without adjustment for certain grandmaternal sociodemographic factors. Mediation analyses were performed for selected parental and offspring health-related factors. Offspring of mothers or fathers with adverse birth characteristics had about 31-43% higher risk for ASD (maternal preterm birth, OR = 1.31, 95% CI= 1.12, 1.55; maternal low birthweight, OR = 1.35, 95% CI: 1.17,1.57; paternal preterm birth, OR = 1.43, 95% CI = 1.18, 1.73; paternal low birthweight, OR = 1.38, 95% CI= 1.13, 1.70). Parents born very preterm (<32 weeks) marked a nearly 2-fold increase in ASD risk in their children. These associations were slightly attenuated upon adjustment for grandmaternal sociodemographic factors. Mediation analyses suggested that parental social-mental and offspring perinatal factors might explain a small magnitude of the total effect observed, especially for maternal birth characteristic associations. Offspring of parents born with adverse characteristics had an elevated risk for ASD. Transmission of ASD risk through maternal and paternal factors should be considered in future research on ASD aetiology.

  • Dissertation
  • 10.17918/ndtz-jz80
Family Neurologic and Psychiatric History and the Risk of Autism Spectrum Disorder
  • Jul 16, 2021
  • Sherlly Xie + 1 more

Objective: In this dissertation, we aimed to determine: 1). familial recurrence risk of autism spectrum disorder (ASD) with and without intellectual disability (ID), as well as 2). risk of these ASD subtypes associated with family history of mental and neurologic disorders. Study design: We conducted a population-based cohort study for each research aim. Index persons (IPs) through whom families were identified (n = 567,436) were non-adopted singleton births identified from the Stockholm Youth Cohort, who were born between 1984 and 2009 in Stockholm County, Sweden, could be linked to both biological parents, and had resided in Stockholm County for at least 2 years at the end of follow-up. The Multi-Generation Register was used to determine family relations for each IP up to four degrees of relatedness. Diagnoses data were ascertained from regional and national registers using International Classification of Diseases and Diagnosis and Statistical Manual of Mental Disorders codes, as well as health services records. Methods: Logistic regression with robust standard error was used to estimate the odds ratio of ASD with or without ID in IPs with relative affected vs. unaffected by ASD and other neurologic and psychiatric disorders. Heritability analysis was carried out using structural equation modeling. Results: ASD without ID was more heritable than ASD with ID, broad-sense heritability (95% confidence interval): 61.5% (35.4-88.3%) vs. 25.7% (9.0-57.0%), respectively. ASD without ID was more familial than ASD with ID. The more closely related the affected family member was, the greater the observed risk was of ASD in the IPs, especially for ASD without ID. For example, for IPs with mothers affected by ASD, the IPs' odds of ASD with and without ID increased by 10.8 and 19.6 folds, respectively, whereas for IPs with affected aunts, the odds of ASD with and without ID increased by 1.3 and 1.8 folds, respectively. As for family history of neurologic and psychiatric disorders, ASD without ID was associated with more disorders and generally more strongly compared to ASD with ID, especially for mental disorders. Family history of multiple disorders was associated with greater risk, including history of ASD, ID, attention-deficit/hyperactivity disorder, obsessive compulsive disorder, schizophrenia and other non-affective psychotic disorders, depression, bipolar and personality disorders, cerebral palsy, and epilepsy. Conclusions: Familial risk and heritability of ASD without ID is higher than that of ASD with ID. This implies that risk factors between these phenotypes differ as well. Both of ASD with and without ID variance can be explained by substantial genetic and environmental sources. Also, family history of mental and neurologic disorders is associated with ASD, and this familial risk differs by presence or absence of ID. Our findings encourage us to pursue with examining these phenotypes separately in future ASD risk research and prediction endeavors, and to extend the investigation to extended family members and possible genetic and environmental risk factors as well as their interactions.

  • PDF Download Icon
  • Research Article
  • Cite Count Icon 59
  • 10.1371/journal.pone.0038893
Prenatal and Early Life Exposure to Stressful Life Events and Risk of Autism Spectrum Disorders: Population-Based Studies in Sweden and England
  • Jun 13, 2012
  • PLoS ONE
  • Dheeraj Rai + 5 more

Background and AimExposure to stressful life events during pregnancy has been suggested as a potential risk factor for offspring Autism Spectrum Disorders (ASD), but the literature is limited and inconsistent. We tested the hypothesis that maternal exposure to stressful life events would be associated with increased risks of offspring ASD, and that these risks would be highest for exposures during the prenatal period.Methods and ResultsWe used prospectively collected data from two large population based studies in Sweden and England. In the Swedish study of 4429 ASD cases and 43277 controls, our exposure comprised the occurrence of any severe life event before and during pregnancy and the child's early life. In the English study (maximum n = 11554, ASD n = 72), we studied the risk of offspring ASD in relation to a combined maternal exposure to multiple (up to 42) common and rare life events, as well as their perceived impact upon the mother during pregnancy and early life. In crude and adjusted regression analyses in both studies, we found no evidence of an association between prenatal life events, or their number and perceived impact and the risk of offspring ASD. Sub-group analysis of ASD with and without intellectual disability in the Swedish study yielded similar results.ConclusionWe found no evidence to support the hypotheses that exposure to stressful life events during the prenatal period is associated with an increased risk of offspring ASD.

  • Research Article
  • Cite Count Icon 15
  • 10.1002/aur.2629
Evaluating the interrelations between the autism polygenic score and psychiatric family history in risk for autism.
  • Oct 19, 2021
  • Autism research : official journal of the International Society for Autism Research
  • Diana Schendel + 18 more

Psychiatric family history or a high autism polygenic risk score (PRS) have been separately linked to autism spectrum disorder (ASD) risk. The study aimed to simultaneously consider psychiatric family history and individual autism genetic liability (PRS) in autism risk. We performed a case-control study of all Denmark singleton births, May 1981-December 2005, in Denmark at their first birthday and a known mother. Cases were diagnosed with ASD before 2013 and controls comprised a random sample of 30,000 births without ASD, excluding persons with non-Denmark-born parents, missing ASD PRS, non-European ancestry. Adjusted odds ratios (aOR) were estimated for ASD by PRS decile and by psychiatric history in parents or full siblings (8 mutually-exclusive categories) using logistic regression. Adjusted ASD PRS z-score least-squares means were estimated by psychiatric family history category. ASD risk (11,339 ASD cases; 20,175 controls) from ASD PRS was not substantially altered after accounting for psychiatric family history (e.g., ASD PRS 10th decile aOR: 2.35 (95% CI 2.11-2.63) before vs 2.11 (95% CI 1.91-2.40) after adjustment) nor from psychiatric family history after accounting for ASD PRS (e.g., ASD family history aOR: 6.73 (95% CI 5.89-7.68) before vs 6.32 (95% CI 5.53-7.22) after adjustment). ASD risk from ASD PRS varied slightly by psychiatric family history. While ASD risk from psychiatric family history was not accounted for by ASD PRS and vice versa, risk overlap between the two factors will likely increase as measures of genetic risk improve. The two factors are best viewed as complementary measures of family-based autism risk. LAY SUMMARY: Autism risk from a history of mental disorders in the immediate family was not explained by a measure of individual genetic risk (autism polygenic risk score) and vice versa. That is, genetic risk did not appear to overlap family history risk. As genetic measures for autism improve then the overlap in autism risk from family history versus genetic factors will likely increase, but further study may be needed to fully determine the components of risk and how they are inter-related between these key family factors. Meanwhile, the two factors may be best viewed as complementary measures of autism family-based risk.

  • Research Article
  • Cite Count Icon 147
  • 10.1093/ije/dyt262
Parental age and the risk of autism spectrum disorders: findings from a Swedish population-based cohort
  • Jan 9, 2014
  • International Journal of Epidemiology
  • S Idring + 8 more

The objectives of this study were to examine the independent and dependent associations of maternal and paternal age and risk of offspring autism spectrum disorders (ASD), with and without intellectual disability (ID). The sample consisted of 417 303 Swedish children born 1984-2003. ASD case status (N = 4746) was ascertained using national and regional registers. Smoothing splines in generalized additive models were used to estimate associations of parental age with ASD. Whereas advancing parental age increased the risk of child ASD, maternal age effects were non-linear and paternal age effects were linear. Compared with mothers at the median age 29 years, those <29 had similar risk, whereas risk increased after age 30, with an odds ratio (OR) of 1.75 [95% (CI): 1.63-1.89] at ages 40-45. For fathers, compared with the median age of 32 years, the OR for ages 55-59 was 1.39 (1.29-1.50). The risk of ASD was greater for older mothers as compared with older fathers. For example, mothers aged 40-45 (≥97.2th percentile) had an estimated 18.63 (95% CI: 17.25-20.01) ASD cases per 1000 births, whereas fathers aged 55-59 (≥99.7th percentile) had 16.35 (95% CI: 15.11-17.58) ASD cases per 1000 births. In analyses stratified by co-parental age, increased risk due to advancing paternal age was evident only with mothers ≤35 years. In contrast, advancing maternal age increased risk regardless of paternal age. Advancing parental age was more strongly associated with ASD with ID, compared with ASD without ID. We confirm prior findings that advancing parental age increases risk of ASD, particularly for ASD with ID, in a manner dependent on co-parental age. Although recent attention has emphasized the effects of older fathers on ASD risk, an increase of n years in maternal age has greater implications for ASD risk than a similar increase in paternal age.

  • Research Article
  • Cite Count Icon 255
  • 10.1542/peds.2015-2206
The Association of Maternal Obesity and Diabetes With Autism and Other Developmental Disabilities.
  • Feb 1, 2016
  • Pediatrics
  • Mengying Li + 14 more

Obesity and diabetes are highly prevalent among pregnant women in the United States. No study has examined the independent and combined effects of maternal prepregnancy obesity and maternal diabetes on the risk of autism spectrum disorder (ASD) in parallel with other developmental disorders (DDs). This study is based on 2734 children (including 102 ASD cases), a subset of the Boston Birth Cohort who completed at least 1 postnatal study visit at Boston Medical Center between 1998 and 2014. Child ASD and other DDs were based on physician diagnoses as documented in electronic medical records. Risks of ASD and other DDs were compared among 6 groups defined by maternal prepregnancy obesity and diabetes status by using Cox proportional hazard regression controlling for potential confounders. When examined individually, maternal prepregnancy obesity and pregestational diabetes (PGDM) were each associated with risk of ASD. When examined in combination, only mothers with obesity and PGDM (hazard ratio 3.91, 95% confidence interval 1.76-8.68) and those with obesity and gestational diabetes (hazard ratio 3.04, 95% confidence interval 1.21-7.63) had a significantly increased risk of offspring ASD. Intellectual disabilities (IDs), but not other DDs, showed a similar pattern of increased risk associated with combined obesity and PGDM. This pattern of risk was mostly accounted for by cases with co-occurring ASD and ID. Maternal prepregnancy obesity and maternal diabetes in combination were associated with increased risk for ASD and ID. ASD with ID may be etiologically distinct from ASD without ID.

  • Research Article
  • Cite Count Icon 47
  • 10.1002/jbmr.3326
Relationship Between Neonatal Vitamin D at Birth and Risk of Autism Spectrum Disorders: the NBSIB Study.
  • Nov 27, 2017
  • Journal of Bone and Mineral Research
  • Dong-Mei Wu + 14 more

Previous studies suggested that lower vitamin D might be a risk factor for autism spectrum disorders (ASDs). The aim of this study was to estimate the prevalence of ASDs in 3-year-old Chinese children and to examine the association between neonatal vitamin D status and risk of ASDs. We conducted a study of live births who had taken part in expanded newborn screening (NBS), with outpatient follow-up when the children 3-year old. The children were confirmed for ASDs in outpatient by the Autism Diagnostic Interview-Revised and Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 criteria. Intellectual disability (ID) status was defined by the intelligence quotient (IQ < 80) for all the participants. The study design included a 1:4 case to control design. The concentration of 25-hydroxyvitamin D3 [25(OH)D3] in children with ASD and controls were assessed from neonatal dried blood samples. A total of 310 children were diagnosed as having ASDs; thus, the prevalence was 1.11% (95% CI, 0.99% to 1.23%). The concentration of 25(OH)D3 in 310 ASD and 1240 controls were assessed. The median 25(OH)D3 level was significantly lower in children with ASD as compared to controls (p < 0.0001). Compared with the fourth quartiles, the relative risk (RR) of ASDs was significantly increased for neonates in each of the three lower quartiles of the distribution of 25(OH)D3, and increased risk of ASDs by 260% (RR for lowest quartile: 3.6; 95% CI, 1.8 to 7.2; p < 0.001), 150% (RR for second quartile: 2.5; 95% CI, 1.4 to 3.5; p = 0.024), and 90% (RR for third quartile: 1.9; 95% CI, 1.1 to 3.3; p = 0.08), respectively. Furthermore, the nonlinear nature of the ID-risk relationship was more prominent when the data were assessed in deciles. This model predicted the lowest relative risk of ID in the 72rd percentile (corresponding to 48.1 nmol/L of 25(OH)D3). Neonatal vitamin D status was significantly associated with the risk of ASDs and intellectual disability. The nature of those relationships was nonlinear. © 2017 American Society for Bone and Mineral Research.

More from: Cyborg and Bionic Systems
  • Research Article
  • 10.34133/cbsystems.0462
Regional Variations in Mechanical Properties of Porcine Leptomeninges
  • Nov 2, 2025
  • Cyborg and Bionic Systems
  • Peiwu Qin + 10 more

  • Research Article
  • 10.34133/cbsystems.0458
Nano-immunotherapy Synergizing Ferroptosis and STING Activation in Metastatic Bladder Cancer
  • Oct 29, 2025
  • Cyborg and Bionic Systems
  • Hang Huang + 7 more

  • Research Article
  • 10.34133/cbsystems.0434
Magnetically Actuated Soft Electrodes for Multisite Bioelectrical Monitoring of Ex Vivo Tissues
  • Oct 24, 2025
  • Cyborg and Bionic Systems
  • Qianbi Peng + 12 more

  • Research Article
  • 10.34133/cbsystems.0438
Neuroanatomy-Informed Brain–Machine Hybrid Intelligence for Robust Acoustic Target Detection
  • Oct 17, 2025
  • Cyborg and Bionic Systems
  • Jianting Shi + 4 more

  • Research Article
  • 10.34133/cbsystems.0406
Ergonomic Insect Headgear and Abdominal Buckle with Surface Stimulators Manufactured via Multimaterial 3D Printing: Snap-and-Secure Installation of Noninvasive Sensory Stimulators for Cyborg Insects
  • Sep 22, 2025
  • Cyborg and Bionic Systems
  • Phuoc Thanh Tran-Ngoc + 5 more

  • Research Article
  • 10.34133/cbsystems.0386
Advanced microrobots driven by acoustic and magnetic fields for biomedical applications
  • Aug 10, 2025
  • Cyborg and Bionic Systems
  • Tingting Wang + 4 more

  • Supplementary Content
  • 10.34133/cbsystems.0384
Advanced Imaging Strategies Based on Intelligent Micro/Nanomotors
  • Jul 21, 2025
  • Cyborg and Bionic Systems
  • Dang Zhang + 7 more

  • Research Article
  • 10.34133/cbsystems.0381
BioCompNet: A Deep Learning Workflow Enabling Automated Body Composition Analysis toward Precision Management of Cardiometabolic Disorders
  • Jul 18, 2025
  • Cyborg and Bionic Systems
  • Jianyong Wei + 9 more

  • Research Article
  • 10.34133/cbsystems.0376
Federated Metadata-Constrained iRadonMAP Framework with Mutual Learning for All-in-One Computed Tomography Imaging
  • Jul 16, 2025
  • Cyborg and Bionic Systems
  • Hao Wang + 7 more

  • Research Article
  • 10.34133/cbsystems.0367
An Integrated Monolithic Synaptic Device for C-Tactile Afferent Perception and Robot Emotional Interaction
  • Jul 11, 2025
  • Cyborg and Bionic Systems
  • Yue Li + 5 more

Save Icon
Up Arrow
Open/Close
  • Ask R Discovery Star icon
  • Chat PDF Star icon

AI summaries and top papers from 250M+ research sources.

Search IconWhat is the difference between bacteria and viruses?
Open In New Tab Icon
Search IconWhat is the function of the immune system?
Open In New Tab Icon
Search IconCan diabetes be passed down from one generation to the next?
Open In New Tab Icon