Enhancing multi-site autism research through the development of a collaborative data platform.

Data repositories, particularly those storing data on vulnerable populations, increasingly need to carefully consider not only what data is being collected, but how it will be used. As such, the Autism Intervention Research Network on Physical Health (AIR-P) has created the Infrastructure for Collaborative Research (ICR) to establish standards on data collection practices in Autism repositories. The ICR will strive to encourage inter-site collaboration, amplify autistic voices, and widen accessibility to data. The ICR is staged as a three-tiered framework consisting of (1) a request for proposals system, (2) a REDCap-based data repository, and (3) public data dashboards to display aggregate de-identified data. Coupled with a review process including autistic and non-autistic researchers, this framework aims to propel the implementation of equitable autism research, enhance standardization within and between studies, and boost transparency and dissemination of findings. In addition, the inclusion of a contact registry that study participants can opt into creates the base for a robust participant pool. As such, researchers can leverage the platform to identify, reach, and distribute electronic materials to a greater proportion of potential participants who likely fall within their eligibility criteria. By incorporating practices that promote effective communication between researchers and participants, the ICR can facilitate research that is both considerate of and a benefit to autistic people.

Comparative Analysis of Chemical Descriptors by Machine Learning Reveals Atomistic Insights into Solute-Lipid Interactions.

This study explores the research area of drug solubility in lipid excipients, an area persistently complex despite recent advancements in understanding and predicting solubility based on molecular structure. To this end, this research investigated novel descriptor sets, employing machine learning techniques to understand the determinants governing interactions between solutes and medium-chain triglycerides (MCTs). Quantitative structure-property relationships (QSPR) were constructed on an extended solubility data set comprising 182 experimental values of structurally diverse drug molecules, including both development and marketed drugs to extract meaningful property relationships. Four classes of molecular descriptors, ranging from traditional representations to complex geometrical descriptions, were assessed and compared in terms of their predictive accuracy and interpretability. These include two-dimensional (2D) and three-dimensional (3D) descriptors, Abraham solvation parameters, extended connectivity fingerprints (ECFPs), and the smooth overlap of atomic position (SOAP) descriptor. Through testing three distinct regularized regression algorithms alongside various preprocessing schemes, the SOAP descriptor enabled the construction of a superior performing model in terms of interpretability and accuracy. Its atom-centered characteristics allowed contributions to be estimated at the atomic level, thereby enabling the ranking of prevalent molecular motifs and their influence on drug solubility in MCTs. The performance on a separate test set demonstrated high predictive accuracy (RMSE = 0.50) for 2D and 3D, SOAP, and Abraham Solvation descriptors. The model trained on ECFP4 descriptors resulted in inferior predictive accuracy. Lastly, uncertainty estimations for each model were introduced to assess their applicability domains and provide information on where the models may extrapolate in chemical space and, thus, where more data may be necessary to refine a data-driven approach to predict solubility in MCTs. Overall, the presented approaches further enable computationally informed formulation development by introducing a novel in silico approach for rational drug development and prediction of dose loading in lipids.

Predictive computational models for assessing the impact of co-milling on drug dissolution.

Co-milling is an effective technique for improving dissolution rate limited absorption characteristics of poorly water-soluble drugs. However, there is a scarcity of models available to forecast the magnitude of dissolution rate improvement caused by co-milling. Therefore, this study endeavoured to quantitatively predict the increase in dissolution by co-milling based on drug properties. Using a biorelevant dissolution setup, a series of 29 structurally diverse and crystalline drugs were screened in co-milled and physically blended mixtures with Polyvinylpyrrolidone K25. Co-Milling Dissolution Ratios after 15 min (COMDR15 min) and 60 min (COMDR60 min) drug release were predicted by variable selection in the framework of a partial least squares (PLS) regression. The model forecasts the COMDR15 min (R2 = 0.82 and Q2 = 0.77) and COMDR60 min (R2 = 0.87 and Q2 = 0.84) with small differences in root mean square errors of training and test sets by selecting four drug properties. Based on three of these selected variables, applicable multiple linear regression equations were developed with a high predictive power of R2 = 0.83 (COMDR15 min) and R2 = 0.84 (COMDR60 min). The most influential predictor variable was the median drug particle size before milling, followed by the calculated drug logD6.5 value, the calculated molecular descriptor Kappa 3 and the apparent solubility of drugs after 24 h dissolution. The study demonstrates the feasibility of forecasting the dissolution rate improvements of poorly water-solube drugs through co-milling. These models can be applied as computational tools to guide formulation in early stage development.

The Neurodiversity Attitudes Questionnaire: Development and Initial Validation.

LAY ABSTRACT: Neurodiversity refers to the idea that brain differences (including disabilities) are valuable and should be accepted. Attitudes toward neurodiversity can have real-life impacts on the lives of neurodivergent people (those whose brains do not fit society's "standard"). These impacts can include effects on daily interactions, as well as how professionals such as teachers and doctors deliver services to neurodivergent people. In order to identify negative attitudes toward neurodiversity and potentially improve them, we first need to measure these attitudes. This article describes the development of the Neurodiversity Attitudes Questionnaire (NDAQ). NDAQ development included revision of questionnaire items based on feedback from experts and neurodivergent people, systematically evaluating the way participants responded to questionnaire items, and analysis of how the NDAQ items are grouped into different factors. A preliminary analysis with 351 individuals mostly living in the United States who were currently working or planning to work in a helping profession (e.g. doctors, teachers, therapists, and so on) indicates that the NDAQ measures attitudes toward neurodiversity, is well understood by participants, and fits a five-factor structure. While the NDAQ represents the first instrument designed to specifically assess attitudes toward the broad idea of neurodiversity, further work is still needed.

The Social Validity of Behavioral Interventions: Seeking Input from Autistic Adults.

Many in the autistic community have expressed concerns regarding the use of behavioral interventions with autistic children, suggesting that these interventions may not be socially valid. Though behavioral interventions have evolved to be more naturalistic and child-centered, little structured research has been done to explicitly seek autistic perspectives on the acceptability of specific components of behavioral interventions. Autistic adults (N = 235) were recruited online to take the Autism Intervention Attitudes Scale (AIAS), a questionnaire designed to gather feedback on common intervention goals and practices. Results indicate that participants find goals and practices that highlight quality of life, safety, and autistic interactions acceptable, while those that focus on normalization based on neurotypical standards are not. An exploratory graph analysis revealed three communities of goals ("uncontroversial goals", "controversial goals", and "social goals"). Comparison between naturalistic and structured intervention components additionally showed that autistic participants favored naturalistic strategies. These findings are in line with known criticisms of behavioral intervention from autistic adults, but also provide more information on the specific ways in which behavioral interventions can be reformed. This information can guide professionals in the development of appropriate goals and decisions around intervention planning.

Mal-positioned nasogastric feeding tubes: are medical students safe to identify them?

OBJECTIVES: Nasogastric tube (NGT) placement is listed against Clinical Imaging in the upcoming Medical Licensing Assessment-compulsory for every graduating UK medical student from 2025. This study aims to establish the ability of medical students to correctly identify the position of an NGT on Chest X-ray (CXR) and to evaluate a learning tool to improve student outcome in this area. METHODS: Fourth-year (MB4) and fifth-year (MB5) medical students were invited to view 20 CXRs with 14 correctly sited and 6 mal-positioned NGT. MB5 students (Intervention) were exposed to an online interactive learning tool, with MB4 students kept as control. One week later, both groups of students were invited to view 20 more CXRs for NGT placement. RESULTS: Only 12 (4.8%) of 249 MB5 students and 5 (3.1%) of 161 MB4 students correctly identified all the NGTs on CXRs. The number of students misidentifying 1 or more mal-positioned NGT as "safe to feed" was 129 (51.8%) for MB5 and 76 (47.2%) for MB4 students. This improved significantly (P < .001) following exposure to the learning tool with 58% scoring all CXRs correctly, while 28% scored 1 or more mal-positioned NGT incorrectly. Students struggled to determine if the NGT tip had adequately passed into the stomach. However, they failed to identify an NG tube in the lung ("never event") in just one out of 1,108 opportunities. CONCLUSION: Medical students' ability to determine if the NGT was in the stomach remains suboptimal despite exposure to over 60 CXRs. Feeding NGT should be formally reported before use. ADVANCES IN KNOWLEDGE: This is the first attempt at quantifying graduating medical students', and by inference junior doctors', competence in safely identifying misplaced nasogastric feeding tubes. An online, experiential learning resource significantly improved their ability.

Associations between patient-level health literacy and diagnostic time intervals for head and neck cancer: A prospective cohort study.

BACKGROUND: Health literacy (HL) comprises skills and knowledge required to understand, access, and make decisions about healthcare. Our aim was to examine associations between patient HL and time intervals (defined in the Aarhus statement) along the pathway to treatment of head and neck cancer (HNC). METHODS: A prospective cohort study was conducted from October 2018 to March 2020. Participants completed the Health Literacy Questionnaire (HLQ®) and described key events and dates along the pathway to treatment using validated questionnaires. Correlations between six diagnostic time intervals and domains of HL were explored, and factors predicting exceeding maximum acceptable timeframes were assessed using logistic regression. RESULTS: One hundred patients with a diagnosis of HNC within the preceding 6 months were recruited. HLQ® Domain 2 (sufficient information to manage health) was significantly negatively associated with four intervals: the patient interval (first symptom to first presentation), primary care interval (first presentation to referral to secondary care), diagnostic interval (first presentation to diagnosis), and total interval (first symptom to treatment onset); correlation coefficients -0.25 to -0.27 (P < 0.05). Domain 8 (ability to find good information) was significantly negatively associated with three intervals (primary care interval, diagnostic interval, and total interval; correlation coefficients -0.23 to -0.34; P < 0.05). Higher education, age, and comorbidity levels were associated with shorter patient and diagnostic intervals. CONCLUSIONS: HL may be a potential target to improve timeliness of HNC diagnosis and reduce disparities in outcomes.

Developing an in vitro lipolysis model for real-time analysis of drug concentrations during digestion of lipid-based formulations.

Understanding the effect of digestion on oral lipid-based drug formulations is a critical step in assessing the impact of the digestive process in the intestine on intraluminal drug concentrations. The classical pH-stat in vitro lipolysis technique has traditionally been applied, however, there is a need to explore the establishment of higher throughput small-scale methods. This study explores the use of alternative lipases with the aim of selecting digestion conditions that permit in-line UV detection for the determination of real-time drug concentrations. A range of immobilised and pre-dissolved lipases were assessed for digestion of lipid-based formulations and compared to digestion with the classical source of lipase, porcine pancreatin. Palatase® 20000 L, a purified liquid lipase, displayed comparable digestion kinetics to porcine pancreatin and drug concentration determined during digestion of a fenofibrate lipid-based formulation were similar between methods. In-line UV analysis using the MicroDISS ProfilerTM demonstrated that drug concentration could be monitored during one hour of dispersion and three hours of digestion for both a medium- and long-chain lipid-based formulations with corresponding results to that obtained from the classical lipolysis method. This method offers opportunities exploring the real-time dynamic drug concentration during dispersion and digestion of lipid-based formulations in a small-scale setup avoiding artifacts as a result of extensive sample preparation.

Consideration and Disclosure of Group Risks in Genomics and Other Data-Centric Research: Does the Common Rule Need Revision?

Harms and risks to groups and third-parties can be significant in the context of research, particularly in data-centric studies involving genomic, artificial intelligence, and/or machine learning technologies. This article explores whether and how United States federal regulations should be adapted to better align with current ethical thinking and protect group interests. Three aspects of the Common Rule deserve attention and reconsideration with respect to group interests: institutional review board (IRB) assessment of the risks/benefits of research; disclosure requirements in the informed consent process; and criteria for waivers of informed consent. In accordance with respect for persons and communities, investigators and IRBs should systematically consider potential group harm when designing and reviewing protocols, respectively. Research participants should be informed about any potential group harm in the consent process. We call for additional public discussion, empirical research, and normative analysis on these issues to determine the right regulatory and policy path forward.

Updates to the Autism Intervention Research Network on Physical Health (AIR-P) Research Agenda.

INTRODUCTION: Autistic individuals, now representing one in 36 individuals in the U.S., experience disproportionate physical health challenges relative to non-autistic individuals. The Health Resources and Services Administration's (HRSA) Autism Intervention Research Network on Physical Health (AIR-P) is an interdisciplinary, multi-center Research Network that aims to increase the health, well-being, and quality of life of autistic individuals. The current paper builds on the initial AIR-P Research Agenda (proposed in Year 1) and provides an updated vision for the Network. METHODS: Updates to the Research Agenda were made via the administration of a Qualtrics survey, and disseminated widely to all AIR-P entities, including the Research Node Leaders, Steering Committee, Autistic Researcher Review Board, and collaborating academic and non-academic entities. Network members were tasked with evaluating the Year 1 Research Agenda and proposing additional priorities. RESULTS: Within each Research Node, all Year 1 priorities were endorsed as continued priorities for research on autism and physical health. Specific topics, including co-occurring conditions and self-determination, advocacy, and decision-making, were particularly endorsed. Opportunities for exploratory studies and intervention research were identified across Research Nodes. Qualitative responses providing feedback on additional research priorities were collected. CONCLUSION: The updated AIR-P Research Agenda represents an important step toward enacting large-scale health promotion efforts for autistic individuals across the lifespan. This updated agenda builds on efforts to catalyze autism research in historically underrepresented topic areas while adopting a neurodiversity-oriented approach to health promotion.

Habituation of auditory responses in young autistic and neurotypical children.

Prior studies suggest that habituation of sensory responses is reduced in autism and that diminished habituation could be related to atypical autistic sensory experiences, for example, by causing brain responses to aversive stimuli to remain strong over time instead of being suppressed. While many prior studies exploring habituation in autism have repeatedly presented identical stimuli, other studies suggest group differences can still be observed in habituation to intermittent stimuli. The present study explored habituation of electrophysiological responses to auditory complex tones of varying intensities (50-80 dB SPL), presented passively in an interleaved manner, in a well-characterized sample of 127 autistic (MDQ = 65.41, SD = 20.54) and 79 typically developing (MDQ = 106.02, SD = 11.50) children between 2 and 5 years old. Habituation was quantified as changes in the amplitudes of single-trial responses to tones of each intensity over the course of the experiment. Habituation of the auditory N2 response was substantially reduced in autistic participants as compared to typically developing controls, although diagnostic groups did not clearly differ in habituation of the P1 response. Interestingly, the P1 habituated less to loud 80 dB sounds than softer sounds, whereas the N2 habituated less to soft 50 dB sounds than louder sounds. No associations were found between electrophysiological habituation and cognitive ability or participants' caregiver-reported sound tolerance (Sensory Profile Hyperacusis Index). The results present study results extend prior research suggesting habituation of certain sensory responses is reduced in autism; however, they also suggest that habituation differences observed using this study's paradigm might not be a primary driver of autistic participants' real-world sound intolerance.

The INSAR Community Collaborator Request: Using community-academic partnerships to enhance outcomes of participatory autism research.

Participatory approaches, in which researchers work together with members of the autism community (e.g., autistic people, family members, caregivers, or other stakeholders) to design, conduct, and disseminate research, have become increasingly prominent within the field of autism research over the past decade. Despite growing academic and community interest in conducting participatory studies, stakeholder collaboration remains infrequent in autism research, at least partially due to systemic barriers. To help reduce barriers to engaging in participatory autism research, the International Society for Autism Research (INSAR) Autistic Researchers Committee has launched the INSAR Community Collaborator Request (ICCR; https://www.autism-insar.org/page/iccr), a platform on the INSAR website that allows autism researchers conducting participatory research to seek out stakeholder collaborators from the autism community (including both autistic people and their family members/caregivers, as relevant to a given research project). Interested stakeholders also have the opportunity to subscribe to ICCR posts, allowing them to be alerted of new opportunities for collaboration and potentially increasing their involvement in autism research. Overall, the ICCR provides a venue to connect autism researchers with potential community collaborators, reducing barriers to participatory autism research and increasing the frequency of successful community-academic partnerships within the field. We are hopeful that in the long term, such changes will lead to greater alignment between research outputs and the goals of the greater autism community, and consequently an increase in the overall quality and relevance of autism research.

Advancing algorithmic drug product development: Recommendations for machine learning approaches in drug formulation.

Artificial intelligence is a rapidly expanding area of research, with the disruptive potential to transform traditional approaches in the pharmaceutical industry, from drug discovery and development to clinical practice. Machine learning, a subfield of artificial intelligence, has fundamentally transformed in silico modelling and has the capacity to streamline clinical translation. This paper reviews data-driven modelling methodologies with a focus on drug formulation development. Despite recent advances, there is limited modelling guidance specific to drug product development and a trend towards suboptimal modelling practices, resulting in models that may not give reliable predictions in practice. There is an overwhelming focus on benchtop experimental outcomes obtained for a specific modelling aim, leaving the capabilities of data scraping or the use of combined modelling approaches yet to be fully explored. Moreover, the preference for high accuracy can lead to a reliance on black box methods over interpretable models. This further limits the widespread adoption of machine learning as black boxes yield models that cannot be easily understood for the purposes of enhancing product performance. In this review, recommendations for conducting machine learning research for drug product development to ensure trustworthiness, transparency, and reliability of the models produced are presented. Finally, possible future directions on how research in this area might develop are discussed to aim for models that provide useful and robust guidance to formulators.

SABR for Early Non-Small Cell Lung Cancer: Changes in Pulmonary Function, Dyspnea, and Quality of Life.

PURPOSE: The aim of this study was to report pulmonary function tests (PFTs) and clinician-reported and patient-reported quality-of-life (QoL) outcomes on a cohort of patients with non-small cell lung cancer (NSCLC) treated with SABR. METHODS AND MATERIALS: A total of 119 patients with NSCLC were treated with SABR in the prospective cohort SSBROC study of patients with T1-T2N0M0 NSCLC. PFTs and QoL measures were obtained at baseline pretreatment and at 6-month intervals. Here we report on the 6- to 18-month time points. Analysis of covariance (ANCOVA) methods adjusting for baseline analyzed potential predictors on outcomes of PFTs and patient-reported dyspnea at 18 months. RESULTS: The only statistically significant decline in PFTs was seen in forced expiratory volume in 1 second (FEV1) at 18 months post-SABR, with a decline of -0.11 L (P = .0087; 95% CI, -0.18 to -0.02). Of potential predictors of decline, only a 1-unit increase in smoking pack-years resulted in a -0.12 change in diffusing capacity for carbon monoxide (P = .026; 95% CI, -0.02 to -0.23) and a 0.003 decrease in FEV1 (P = .026; 95% CI, -0.006 to -0.0004). For patient-reported outcomes, statistically significant worsening in both the European Organisation for Research and Treatment of Cancer Quality of Life Core Questionnaire (QLQ-C30 Version 3) and the lung module (QLQ-LC13) dyspnea scores occurred at the 18-month time point, but not earlier. No potential predictors of worsening dyspnea were statistically significant. There was no statistically significant decline in clinician-reported outcomes or global QoL scores. CONCLUSIONS: We found a statistically significant decline in FEV1 at 18 months posttreatment. Smoking pack-years was a predictor for decline in diffusing capacity for carbon monoxide and FEV1 at 18 months. Worsening of patient-reported dyspnea scores was observed, consistent with the expected progression of lung comorbid disease.

Ethical challenges in autism genomics: Recommendations for researchers.

Equitable and just genetic research and clinical translation require an examination of the ethical questions pertaining to vulnerable and marginalized communities. Autism research and advocate communities have expressed concerns over current practices of genetics research, urging the field to shift towards paradigms and practices that ensure benefits and avoid harm to research participants and the wider autistic community. Building upon a framework of bioethical principles, we provide the background for the concerns and present recommendations for ethically sustainable and justice-oriented genetic and genomic autism research. With the primary goal of enhancing the health, well-being, and autonomy of autistic persons, we make recommendations to guide priority setting, responsible research conduct, and informed consent practices. Further, we discuss the ethical challenges particularly pertaining to research involving highly vulnerable individuals and groups, such as those with impaired cognitive or communication ability. Finally, we consider the clinical translation of autism genetics studies, including the use of genetic testing. These guidelines, developed by an interdisciplinary working group comprising autistic and non-autistic individuals, will aid in leveraging the potential of genetics research to enhance the quality of life of autistic individuals and are widely applicable across stigmatized traits and vulnerable communities.

Leveraging the use of in vitro and computational methods to support the development of enabling oral drug products: An InPharma commentary.

Due to the strong tendency towards poorly soluble drugs in modern development pipelines, enabling drug formulations such as amorphous solid dispersions, cyclodextrins, co-crystals and lipid-based formulations are frequently applied to solubilize or generate supersaturation in gastrointestinal fluids, thus enhancing oral drug absorption. Although many innovative in vitro and in silico tools have been introduced in recent years to aid development of enabling formulations, significant knowledge gaps still exist with respect to how best to implement them. As a result, the development strategy for enabling formulations varies considerably within the industry and many elements of empiricism remain. The InPharma network aims to advance a mechanistic, animal-free approach to the assessment of drug developability. This commentary focuses current status and next steps that will be taken in InPharma to identify and fully utilize 'best practice' in vitro and in silico tools for use in physiologically based biopharmaceutic models.

Does learning you are autistic at a younger age lead to better adult outcomes? A participatory exploration of the perspectives of autistic university students.

LAY ABSTRACT: People learn they are autistic at different ages. We wanted to know if telling kids they are autistic earlier helps them feel better about their lives when they grow up. We are a team of autistic and non-autistic students and professors. Seventy-eight autistic university students did our online survey. They shared how they found out they were autistic and how they felt about being autistic. They also shared how they feel about their lives now. Around the same number of students learned they were autistic from doctors and parents. Students who learned they were autistic when they were younger felt happier about their lives than people who learned they were autistic when they were older. Students who learned they were autistic when they were older felt happier about being autistic when they first found out than people who did not have to wait as long. Our study shows that it is probably best to tell people they are autistic as soon as possible. The students who did our study did not think it was a good idea to wait until children are adults to tell them they are autistic. They said that parents should tell their children they are autistic in ways that help them understand and feel good about who they are.

Learning from the experts: Evaluating a participatory autism and universal design training for university educators.

LAY ABSTRACT: Autistic university students have many strengths. They also go through difficulties that professors may not understand. Professors may not understand what college life is like for autistic students. They might judge autistic students. A team of autistic and non-autistic researchers made a training to help professors understand autistic students better. This training also gave professors ideas to help them teach all of their students. Ninety-eight professors did an online survey before the autism training. They shared how they felt about autism and teaching. Before our training, professors who knew more about autism appreciated autism more. Professors who thought people should be equal and women also appreciated autism more. Then, 89 of the professors did our training and another survey after the training. This helped us see what they learned from the training. They did one more survey a month later. This helped us see what they remembered. Our training helped professors understand and value autism. It also helped them understand how they can teach all students better. The professors remembered a lot of what we taught them. This study shows that a training that autistic people helped make can help professors understand their autistic students better.

Social Validity of Pivotal Response Treatment for Young Autistic Children: Perspectives of Autistic Adults.

The social validity of autism behavioral intervention has been questioned. Naturalistic Developmental Behavioral Interventions (NDBIs) attempt to address some concerns, but it is unclear whether autistic people consider NDBIs socially valid. Social validity of an NDBI, Pivotal Response Treatment (PRT), was investigated through autistic adults commenting on videos of autistic children receiving PRT. Qualitative coding of responses generated three themes: respect for individuals; assessment of intervention implementation; and socioemotional considerations. Although video brevity limits the scope of the present study's conclusions, participants highlighted PRT components that appeared socially valid (e.g., reinforcing attempts, following the child's lead) and aspects appearing invalid (e.g., overemphasis on spoken language). Therefore, adjustments appear necessary for PRT to be fully acceptable to the autistic community.