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During the COVID-19 pandemic, families have experienced unprecedented financial and social disruptions. We studied the impact of preexisting psychosocial factors and pandemic-related financial and social disruptions in relation to family well-being among N = 4091 adolescents and parents during early summer 2020, participating in the Adolescent Brain Cognitive Development

PurposeEvaluate changes in early adolescent substance use from May 2020 to May 2021 during the coronavirus disease 2019 pandemic using data from a prospective nationwide cohort: the Adolescent Brain Cognitive Development Study.MethodsIn 2018-2019, 9,270 youth aged 11.5-13.0 completed a prepandemic assessment of past-month alcohol and drug use, then up to seven during-pandemic assessments between May 2020 and May 2021. We compared the prevalence of substance use among same-age youth across these eight timepoints.ResultsPandemic-related decreases in the past-month prevalence of alcohol use were detectable in May 2020, grew larger over time, and remained substantial in May 2021 (0.3% vs. 3.2% prepandemic, p

During the COVID-19 pandemic, families have experienced unprecedented financial and social disruptions. We studied the impact of preexisting psychosocial factors and pandemic-related financial and social disruptions in relation to family well-being among N = 4091 adolescents and parents during early summer 2020, participating in the Adolescent Brain Cognitive DevelopmentSM Study. Poorer family well-being was linked to prepandemic psychosocial and financial adversity and was associated with pandemic-related material hardship and social disruptions to routines. Parental alcohol use increased risk for worsening of family relationships, while a greater endorsement of coping strategies was mainly associated with overall better family well-being. Financial and mental health support may be critical for family well-being during and after a widespread crisis, such as the COVID-19 pandemic.

Purpose Evaluate changes in early adolescent substance use during the coronavirus disease 2019 (COVID-19) pandemic using a prospective, longitudinal, nationwide cohort. Methods Participants were enrolled in the Adolescent Brain Cognitive Development Study. A total of 7,842 youth (mean age = 12.4 years, range = 10.5–14.6) at 21 study sites across the U.S. completed a three-wave assessment of substance use between May and August 2020. Youth reported whether they had used alcohol, nicotine, cannabis, or other substances in the past 30 days. Data were linked to prepandemic surveys that the same youth had completed in the years 2018–2020, before the advent of the COVID-19 pandemic. Results Past-30-day substance use remained stable in the 6 months since stay-at-home orders were first issued in U.S. states/counties; was primarily episodic (1–2 days in the past month); and was typically limited to a single substance. Using pretest/posttest and age-period designs, we found that compared to before the pandemic, fewer youth were using alcohol and more youth were using nicotine or misusing prescription drugs. During the pandemic, youth were more likely to use substances when they were more stressed by pandemic-related uncertainty; their family experienced material hardship; their parents used alcohol or drugs; or they experienced greater depression or anxiety. Neither engagement in social distancing nor worry about COVID-19 infection was associated with substance use. Several risk factors were stronger among older (vs. younger) adolescents. Conclusions Among youth in early adolescence, advent of the COVID-19 pandemic was associated with decreased use of alcohol and increased use of nicotine and misuse of prescription drugs.

The Adolescent Brain Cognitive Development (ABCD) Study® is a 10-year longitudinal study of children recruited at ages 9 and 10. A battery of neuroimaging tasks are administered biennially to track neurodevelopment and identify individual differences in brain function. This study reports activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657) and working memory and emotion reactivity with an emotional N-back (EN-back) task (N = 6,009). Further, we report the spatial reproducibility of activation patterns by assessing between-group vertex/voxelwise correlations of blood oxygen level-dependent (BOLD) activation. Analyses reveal robust brain activations that are consistent with the published literature, vary across fMRI tasks/contrasts and slightly correlate with individual behavioral performance on the tasks. These results establish the preadolescent brain function baseline, guide interpretation of cross-sectional analyses and will enable the investigation of longitudinal changes during adolescent development. This paper reports activation patterns for fMRI tasks assessing response inhibition, working memory and reward processing obtained at baseline in the longitudinal ABCD Study, providing a reference for research into adolescent brain development.

The Adolescent Brain Cognitive Development (ABCD)SM study aims to retain a demographically diverse sample of youth and one parent across 21 sites throughout its 10-year protocol while minimizing selective (systematic) attrition. To evaluate the effectiveness of these efforts, the ABCD Retention Workgroup (RW) has employed a data-driven approach to examine, track, and intervene via three key metrics: (1) which youth completed visits late; (2) which youth missed visits; and (3) which youth withdrew from the study. The RW actively examines demographic (race, education level, family income) and site factors (visit satisfaction, distance from site, and enrollment in ancillary studies) to strategize efforts that will minimize disengagement and loss of participating youth and parents. Data showed that the most robust primary correlates of late visits were distance from study site, race, and parental education level. Race, lower parental education level, parental employment status, and lower family income were associated with higher odds of missed visits, while being enrolled in one of the ancillary studies was associated with lower odds of missed visits. Additionally, parents who were primary Spanish speakers withdrew at slightly higher rates. These findings provide insight into future targets for proactive retention efforts by the ABCD RW.

Format changes in U.S. schooling in response to the COVID-19 pandemic varied by month and by school district, ranging from exclusively home-based to full in-person learning. The impact of these changes on adolescent schooling experiences, and the factors that mitigate such impact, have been challenging to quantify. To address these challenges we employed bi-monthly repeated surveys of youths (N = 6, 546, aged 13–14 years) in a longitudinal study, starting before the pandemic peak (October 2020) and continuing through one year after the pandemic was declared (March 2021). We investigated how school format (in-person vs. remote) impacted objective time spent on academic activities and the subjective experience of school, and how these were influenced by parental engagement. Periods of exclusive at-home remote schooling were pervasive—reported by more than 60% of youths—and linked to a reduction in school enjoyment and time spent on reading, math, and science. In contrast, such periods were linked to more time with parents or guardians helping with school activities, and the frequency of such parental involvement was associated with reductions in negative feelings about school. Results point to potential pathways to mitigate the negative consequences of future school disruptions.

With emerging SARS-CoV-2 new strains and their increased pathogenicity, diagnosis has become more challenging. Molecular diagnosis often involves the use of nasopharyngeal swab and subsequent real-time PCR-based test. While this test is the gold standard, it has several limitations and more complementary assays are required. This protocol describes how to identify SARS-CoV-2 protein from patients' nasopharyngeal swab samples. We first introduce the approach of label-free quantitative proteomics. We then detail target verification by triple quadrupole mass spectrometry (M.S.)-based targeted proteomics., Graphical Abstract

Purpose Adolescence is characterized by dramatic physical, social, and emotional changes, making teens particularly vulnerable to the mental health effects of the COVID-19 pandemic. This longitudinal study identifies young adolescents who are most vulnerable to the psychological toll of the pandemic and provides insights to inform strategies to help adolescents cope better in times of crisis. Methods A data-driven approach was applied to a longitudinal, demographically diverse cohort of more than 3,000 young adolescents (10–14 years) participating in the ongoing Adolescent Brain Cognitive Development Study in the United States, including multiple prepandemic visits and three assessments during the COVID-19 pandemic (May–August 2020). We fitted machine learning models and provided a comprehensive list of predictors of psychological distress in individuals. Results Positive affect, stress, anxiety, and depressive symptoms were accurately detected with our classifiers. Female sex and prepandemic internalizing symptoms and sleep problems were strong predictors of psychological distress. Parent- and youth-reported pandemic-related psychosocial factors, including poorer quality and functioning of family relationships, more screen time, and witnessing discrimination in relation to the pandemic further predicted youth distress. However, better social support, regular physical activities, coping strategies, and healthy behaviors predicted better emotional well-being. Conclusions Findings highlight the importance of social connectedness and healthy behaviors, such as sleep and physical activity, as buffering factors against the deleterious effects of the pandemic on adolescents' mental health. They also point to the need for greater attention toward coping strategies that help the most vulnerable adolescents, particularly girls and those with prepandemic psychological problems.

Physical health in childhood is crucial for neurobiological as well as overall development, and can shape long-term outcomes into adulthood. The landmark, longitudinal Adolescent Brain Cognitive Development StudySM (ABCD study®), was designed to investigate brain development and health in almost 12,000 youth who were recruited when they were 9–10 years old and will be followed through adolescence and early adulthood. The overall goal of this paper is to provide descriptive analyses of physical health measures in the ABCD study at baseline, including but not limited to sleep, physical activity and sports involvement, and body mass index. Further this summary will describe how physical health measures collected from the ABCD cohort compare with current normative data and clinical guidelines. We propose this data set has the potential to facilitate clinical recommendations and inform national standards of physical health in this age group. This manuscript will also provide important information for ABCD users and help guide analyses investigating physical health including new avenues for health disparity research as it pertains to adolescent and young adult development.

The proteomic analysis of the human brain tissue over the last decade has greatly enhanced our understanding of the brain. However, brain related disorders continue to be a major contributor of deaths around the world, necessitating the need for even greater understanding of their pathobiology. Traditional antibody-based techniques like western blotting or immunohistochemistry suffer from being low-throughput besides being labor-intensive and qualitative or semi-quantitative. Even conventional mass spectrometry-based shotgun approaches fail to provide conclusive evidence to support a certain hypothesis. Targeted proteomics approaches are largely hypothesis driven and differ from the conventional shotgun proteomics approaches that have been long in use. Multiple reaction monitoring is one such targeted approach that requires the use of a special mass spectrometer called the tandem quadrupole mass spectrometer or triple quadrupole mass spectrometer. In the current study, we have systematically highlighted the major steps involved in performing a successful tandem quadrupole mass spectrometry-based proteomics workflow using human brain tissue with an aim to introduce this workflow to a broader research community.

PurposeEvaluate changes in early adolescent substance use during the coronavirus disease 2019 (COVID-19) pandemic using a prospective, longitudinal, nationwide cohort.MethodsParticipants were enrolled in the Adolescent Brain Cognitive Development Study. A total of 7,842 youth (mean age= 12.4years, range= 10.5-14.6) at 21 study sites across the U.S. completed a three-wave assessment of substance use between May and August 2020. Youth reported whether they had used alcohol, nicotine, cannabis, or other substances in the past 30days. Data were linked to prepandemic surveys that the same youth had completed in the years 2018-2020, before the advent of the COVID-19 pandemic.ResultsPast-30-day substance use remained stable in the 6months since stay-at-home orders were first issued in U.S. states/counties; was primarily episodic (1-2days in the past month); and was typically limited to a single substance. Using pretest/posttest and age-period designs, we found that compared to before the pandemic, fewer youth were using alcohol and more youth were using nicotine or misusing prescription drugs. During the pandemic, youth were more likely to use substances when they were more stressed by pandemic-related uncertainty; their family experienced material hardship; their parents used alcohol or drugs; or they experienced greater depression or anxiety. Neither engagement in social distancing nor worry about COVID-19 infection was associated with substance use. Several risk factors were stronger among older (vs. younger) adolescents.ConclusionsAmong youth in early adolescence, advent of the COVID-19 pandemic was associated with decreased use of alcohol and increased use of nicotine and misuse of prescription drugs.

Air pollution issue has become an important environmental problem in India. This paper proposes to examine the influence of Delhi Air Pollution on the two Indian stock indices, using Descriptive Statistics, Unit Root, and OLS regression. The analysis of the study found that Delhi Air Pollution did create a statistically significant effect on Nifty. This is the first study of this type to look into the effects of air quality issue on stock market indices in India

The information about changes in economic policies in a country may influence its stock market. The demonetisation has its impact on various segments of the economy. Thus the study aims to analyse the price movement of Indian sectoral indices around the demonetisation announcements. The daily price returns were tested using GARCH (1, 1) Model and it found that low volatility was found in the post announcement period compared to the pre-announcement period. Thus the present study confirmed that Indian sectoral indices were influenced by the demonetization announcement. Therefore, investors should be aware of economic events while investing in the stock market.

Our study characterized associations between three indicators of COVID-19's community-level impact in 20 geographically diverse metropolitan regions and how worried youth and their caregivers in the Adolescent Brain Cognitive Development℠ Study have been about COVID-19. County-level COVID-19 case/death rates and monthly unemployment rates were geocoded to participants' addresses. Caregivers' (vs. youths') COVID-19-related worry was more strongly associated with COVID-19's community impact, independent of sociodemographics and pre-pandemic anxiety levels, with these associations varying by location. Public-health agencies and healthcare providers should avoid adopting uniform "one-size-fits-all" approaches to addressing COVID-19-related emotional distress and must consider specific communities' needs, challenges, and strengths.

Severe coronavirus disease 2019 (COVID-19) infection may lead to lung injury, multi-organ failure, and eventually death. Cytokine storm due to excess cytokine production has been associated with fatality in severe infections. However, the specific molecular signatures associated with the elevated immune response are yet to be elucidated. We performed a mass-spectrometry-based proteomic and metabolomic analysis of COVID-19 plasma samples collected at two time points. Using Orbitrap Fusion LC-MS/MS-based label-free proteomic analysis, we identified around 10 significant proteins, 32 significant peptides, and 5 metabolites that were dysregulated at the severe time points. Few of these proteins identified by quantitative proteomics were validated using the multiple reaction monitoring (MRM) assay. Integrated pathway analysis using distinct proteomic and metabolomic signatures revealed alterations in complement and coagulation cascade, platelet aggregation, myeloid leukocyte activation pathway, and arginine metabolism. Further, we highlight the role of leukocyte activation and arginine metabolism in COVID-19 pathogenesis and targeting these pathways for COVID-19 therapeutics.

The Adolescent Brain Cognitive Development (ABCD)

The pestilential pathogen SARS-CoV-2 has led to a seemingly ceaseless pandemic of COVID-19. The healthcare sector is under a tremendous burden, thus necessitating the prognosis of COVID-19 severity. This in-depth study of plasma proteome alteration provides insights into the host physiological response towards the infection and also reveals the potential prognostic markers of the disease. Using label-free quantitative proteomics, we performed deep plasma proteome analysis in a cohort of 71 patients (20 COVID-19 negative, 18 COVID-19 non-severe, and 33 severe) to understand the disease dynamics. Of the 1200 proteins detected in the patient plasma, 38 proteins were identified to be differentially expressed between non-severe and severe groups. The altered plasma proteome revealed significant dysregulation in the pathways related to peptidase activity, regulated exocytosis, blood coagulation, complement activation, leukocyte activation involved in immune response, and response to glucocorticoid biological processes in severe cases of SARS-CoV-2 infection. Furthermore, we employed supervised machine learning (ML) approaches using a linear support vector machine model to identify the classifiers of patients with non-severe and severe COVID-19. The model used a selected panel of 20 proteins and classified the samples based on the severity with a classification accuracy of 0.84. Putative biomarkers such as angiotensinogen and SERPING1 and ML-derived classifiers including the apolipoprotein B, SERPINA3, and fibrinogen gamma chain were validated by targeted mass spectrometry-based multiple reaction monitoring (MRM) assays. We also employed an in silico screening approach against the identified target proteins for the therapeutic management of COVID-19. We shortlisted two FDA-approved drugs, namely, selinexor and ponatinib, which showed the potential of being repurposed for COVID-19 therapeutics. Overall, this is the first most comprehensive plasma proteome investigation of COVID-19 patients from the Indian population, and provides a set of potential biomarkers for the disease severity progression and targets for therapeutic interventions.

Author(s): Herting, Megan M; Uban, Kristina A; Gonzalez, Marybel Robledo; Baker, Fiona C; Kan, Eric C; Thompson, Wesley K; Granger, Douglas A; Albaugh, Matthew D; Anokhin, Andrey P; Bagot, Kara S; Banich, Marie T; Barch, Deanna M; Baskin-Sommers, Arielle; Breslin, Florence J; Casey, BJ; Chaarani, Bader; Chang, Linda; Clark, Duncan B; Cloak, Christine C; Constable, R Todd; Cottler, Linda B; Dagher, Rada K; Dapretto, Mirella; Dick, Anthony S; Dosenbach, Nico; Dowling, Gayathri J; Dumas, Julie A; Edwards, Sarah; Ernst, Thomas; Fair, Damien A; Feldstein-Ewing, Sarah W; Freedman, Edward G; Fuemmeler, Bernard F; Garavan, Hugh; Gee, Dylan G; Giedd, Jay N; Glaser, Paul EA; Goldstone, Aimee; Gray, Kevin M; Hawes, Samuel W; Heath, Andrew C; Heitzeg, Mary M; Hewitt, John K; Heyser, Charles J; Hoffman, Elizabeth A; Huber, Rebekah S; Huestis, Marilyn A; Hyde, Luke W; Infante, M Alejandra; Ivanova, Masha Y; Jacobus, Joanna; Jernigan, Terry L; Karcher, Nicole R; Laird, Angela R; LeBlanc, Kimberly H; Lisdahl, Krista; Luciana, Monica; Luna, Beatriz; Maes, Hermine H; Marshall, Andrew T; Mason, Michael J; McGlade, Erin C; Morris, Amanda S; Nagel, Bonnie J; Neigh, Gretchen N; Palmer, Clare E; Paulus, Martin P; Potter, Alexandra S; Puttler, Leon I; Rajapakse, Nishadi; Rapuano, Kristina; Reeves, Gloria; Renshaw, Perry F; Schirda, Claudiu; Sher, Kenneth J; Sheth, Chandni; Shilling, Paul D; Squeglia, Lindsay M; Sutherland, Matthew T; Tapert, Susan F; Tomko, Rachel L; Yurgelun-Todd, Deborah; Wade, Natasha E; Weiss, Susan RB; Zucker, Robert A | Abstract: AimTo examine individual variability between perceived physical features and hormones of pubertal maturation in 9-10-year-old children as a function of sociodemographic characteristics.MethodsCross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study-a multi-site sample of 9-10 year-olds (n = 11,875)-and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels.ResultsPDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child's weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample.ConclusionsSociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9-10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.

The altered molecular proteins and pathways in response to COVID-19 infection are still unclear. Here, we performed a comprehensive proteomics-based investigation of nasopharyngeal swab samples from COVID-19 patients to study the host response by employing simple extraction strategies. Few of the host proteins such as Interleukin-6, L-lactate dehydrogenase, C-reactive protein, Ferritin and Aspartate aminotransferase were found to be up-regulated only in COVID-19 positive patients using targeted Multiple Reaction Monitoring studies. The most important pathways identified by enrichment analysis were neutrophil degranulation, interleukin-12 signaling pathways and mRNA translation of proteins thus providing the detailed investigation of host response in COVID-19 infection. Thus, we conclude that mass spectrometry-detected host proteins have a potential for disease severity progression; however, suitable validation strategies should be deployed for the clinical translation. Furthermore, the in-silico docking of host proteins involved in the interleukin-12 signaling pathway might aid in COVID-19 therapeutic interventions., Graphical Abstract, Highlights • High-resolution mass-spectrometry of swab identified 164 significant host proteins. • Upregulation of LDH, Ferritin and AST was validated by MRM assays. • Significant alteration of immune response and translational pathways was observed. • In silico docking identified Loratadine binding to interleukin signaling proteins.

Prognosis and management of COVID-19 severity is a challenge even after months of the pandemic. Host plasma proteome alterations carry insights into the physiological alterations in response to the infection. Here we employed a mass spectrometry-based label-free quantitative proteomics approach to study alteration in plasma proteome in a cohort of 73 patients (20 COVID negative, 18 non-severe, and 33 severe) to understand the disease dynamics for addressing this challenge. Of the 1200 proteins detected in the patient plasma, 38 proteins were differentially expressed between non-severe and severe groups. The host proteins such as Angiotensinogen, apolipoprotein B, SERPINA3, SERPING1, and Fibrinogen gamma chain identified in LFQ analysis were further validated using targeted mass spectrometry assay. Utilizing our proteomics dataset, we identified multiple drugs that could inhibit the upregulated proteins involved in disease pathogenesis of these 2 FDA-approved drugs Selinexor and Ponatinib, which showed promise of being re-purposed for potential therapeutics of COVID-19. Plasma proteome identified significant dysregulation in the pathways related to peptidase activity, regulated exocytosis, blood coagulation, complement activation, leukocyte activation involved in immune response, and response to glucocorticoid biological processes during severe SARS-CoV-2 infection. Further, the results suggest that COVID-19 severity can be prognosticated using specific biomarkers of severity, and few of these proteins are excellent targets for re-purposed drugs.

Paddy cultivation plays an important role in agriculture. But the growth of crop is affected by various diseases. If detection of disease is not properly done at earlier stage, then it may result in decrease of paddy production. India is agriculture based country and it provides employment to peoples in rural areas.. The agricultural sector plays major role in development of our economy by providing employment for rural peoples. Paddy is the staple food of Indians and hence it is considered as nation’s important product. Crop management is followed to protect paddy plants from fungal and bacterial diseases. The main goal is to develop an image processing system to identify and classify the various diseases affecting the growth of paddy plants. The work is divided into two parts paddy crop disease detection and recognition of paddy crop diseases. Disease detection technique is used to detect the disease affected portion in the paddy plant. The techniques used to detect diseased portions of paddy crop are Boundary localization and Haar-like features methods and neural network is employed based on diseases classification.

Adolescence is a time of dramatic changes in brain structure and function, and the adolescent brain is highly susceptible to being altered by experiences like substance use. However, there is much we have yet to learn about how these experiences influence brain development, how they promote or interfere with later health outcomes, or even what healthy brain development looks like. A large longitudinal study beginning in early adolescence could help us understand the normal variability in adolescent brain and cognitive development and tease apart the many factors that influence it. Recent advances in neuroimaging, informatics, and genetics technologies have made it feasible to conduct a study of sufficient size and scope to answer many outstanding questions. At the same time, several Institutes across the NIH recognized the value of collaborating in such a project because of its ability to address the role of biological, environmental, and behavioral factors like gender, pubertal hormones, sports participation, and social/economic disparities on brain development as well as their association with the emergence and progression of substance use and mental illness including suicide risk. Thus, the Adolescent Brain Cognitive Development study was created to answer the most pressing public health questions of our day. Keywords: Adolescent, Brain development, Neuroimaging, Longitudinal, Substance use, Mental health

Risk, diversification, features of investment avenues, and tax benefit are the factors considered by the investors in their decision making. The convenience of investing in small proportions and tax benefits attracts the investors towards mutual fund investments. The studies prove that market timing ability of fund managers drives the mutual fund scheme performance. This assessment of the above factors would help to the investors in their choice of mutual funds. 36 Indian Mutual Funds Schemes were assessed using the Sharpe, Treynor, Jensen’s measure from January to June 2019. L&T Liquid Fund –Direct (Growth), L&T Low Duration Fund-Growth and Edelweiss Large Cap Fund - Direct (Growth) performed well.

Our brain is constantly shaped by our immediate environments, and while some effects are transient, some have long-term consequences. Therefore, it is critical to identify which environmental risks have evident and long-term impact on brain development. To expand our understanding of the environmental context of each child, the Adolescent Brain Cognitive Development (ABCD) Study® incorporates the use of geospatial location data to capture a range of individual, neighborhood, and state level data based on the child’s residential location in order to elucidate the physical environmental contexts in which today’s youth are growing up. We review the major considerations and types of geocoded information incorporated by the Linked External Data Environmental (LED) workgroup to expand on the built and natural environmental constructs in the existing and future ABCD Study data releases. Understanding the environmental context of each youth furthers the consortium’s mission to understand factors that may influence individual differences in brain development, providing the opportunity to inform public policy and health organization guidelines for child and adolescent health., Highlights • ABCD Study® includes a Linked External Data (LED) Environmental working group. • Residential geocodes linked to physical environmental contextual variables. • External data sources include residential, census, and state-level variables. • These data may allow for important gene-by-environment effects to be examined.

Proper nutrition is essential for the health of every individual. Thisincludes the denture wearers’ as well. Proper advice and knowledge must be given to the denture wearers by the dentist for maintaining the essential health of the individuals

Summary: The altered molecular proteins and pathways in response to COVID-19 infection are still unclear. Here, we performed a comprehensive proteomics-based investigation of nasopharyngeal swab samples from patients with COVID-19 to study the host response by employing simple extraction strategies. Few of the host proteins such as interleukin-6, L-lactate dehydrogenase, C-reactive protein, Ferritin, and aspartate aminotransferase were found to be upregulated only in COVID-19-positive patients using targeted multiple reaction monitoring studies. The most important pathways identified by enrichment analysis were neutrophil degranulation, interleukin-12 signaling pathways, and mRNA translation of proteins thus providing the detailed investigation of host response in COVID-19 infection. Thus, we conclude that mass spectrometry-detected host proteins have a potential for disease severity progression; however, suitable validation strategies should be deployed for the clinical translation. Furthermore, the in silico docking of potential drugs with host proteins involved in the interleukin-12 signaling pathway might aid in COVID-19 therapeutic interventions.

The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing, nationwide study of the effects of environmental influences on behavioral and brain development in adolescents. The ABCD Study is a collaborative effort, including a Coordinating Center, 21 data acquisition sites across the United States, and a Data Analysis and Informatics Center (DAIC). The main objective of the study is to recruit and assess over eleven thousand 9-10-year-olds and follow them over the course of 10 years to characterize normative brain and cognitive development, the many factors that influence brain development, and the effects of those factors on mental health and other outcomes. The study employs state-of-the-art multimodal brain imaging, cognitive and clinical assessments, bioassays, and careful assessment of substance use, environment, psychopathological symptoms, and social functioning. The data will provide a resource of unprecedented scale and depth for studying typical and atypical development. Here, we describe the baseline neuroimaging processing and subject-level analysis methods used by the ABCD DAIC in the centralized processing and extraction of neuroanatomical and functional imaging phenotypes. Neuroimaging processing and analyses include modality-specific corrections for distortions and motion, brain segmentation and cortical surface reconstruction derived from structural magnetic resonance imaging (sMRI), analysis of brain microstructure using diffusion MRI (dMRI), task-related analysis of functional MRI (fMRI), and functional connectivity analysis of resting-state fMRI.HighlightsAn overview of the MRI processing pipeline for the ABCD StudyA discussion on the challenges of large, multisite population studiesA methodological reference for users of publicly shared data from the ABCD Study

The Adolescent Brain Cognitive Development (ABCD) Study, a large, longitudinal study of brain development and child health, is uniquely positioned to explore relationships among stress, neurodevelopment, and psychiatric symptomatology, including substance use and addiction. There is much we do not know about how adverse experiences affect the developing brain and cognitive, social, emotional, and academic outcomes. The data collected by the ABCD Study will allow the examination of the relationships among these variables in adolescence, including the effects of stressors (e.g., abuse, neglect, household challenges, parental substance use) on psychological adjustment and other stress responses. A comprehensive protocol that includes physical and mental health, substance use, culture and environment, neurocognitive assessments, biospecimen analyses, and structural and functional neuroimaging will provide opportunities for learning about the impacts of stressors on health and other outcomes in the context of adolescent development. This knowledge could lead to the development of interventions that reduce or even reverse the impacts of stressors. Keywords: Adolescent, Development, Stress

Retention efforts are critical to maintain relationships with research participants over time. This is especially important for the Adolescent Brain Cognitive Development (ABCD) study, where families are asked to stay engaged with the study throughout the course of 10 years. This high-degree of involvement is essential to longitudinally track child and adolescent development. At a minimum, we will connect with families every 6 months by telephone, and every year in person, with closer contact with the youth directly as they transition into adolescence. Differential retention, when related to non-random issues pertaining to demographic or risk features, can negatively impact the generalizability of study outcomes. Thus, to ensure high rates of retention for all participants, the ABCD study employs a number of efforts to support youth and families. This overview details the framework and concrete steps for retention. Keywords: ABCD study, Adolescents, Retention, Longitudinal, Multi-site

The Adolescent Brain Cognitive Development (ABCD) Study, a large, longitudinal study of brain development and child health, relies on the engagement of communities, educators, and families to ensure its success. To that end, community and partner relationships, development of targeted messages and materials for specific audiences (educators, families, youth, scientists), and continued and consistent outreach must be an integral part of the Consortium activities. The ABCD Consortium has made these efforts a priority and developed a framework to raise awareness about the study and promote sustained broad-base support from diverse stakeholders. Keywords: Adolescent, Development, Communication, Outreach, Engagement

The Adolescent Brain Cognitive Development (ABCD) study is designed to be the largest study of brain development and child health in the United States, performing comprehensive assessments of 11,500 children repeatedly for 10 years. An endeavor of this magnitude requires an organized framework of governance and communication that promotes collaborative decision-making and dissemination of information. The ABCD consortium structure, built upon the Matrix Management approach of organizational theory, facilitates the integration of input from all institutions, numerous internal workgroups and committees, federal partners, and external advisory groups to make use of a broad range of expertise to ensure the study’s success. Keywords: Adolescence, Development, Neuroimaging, Longitudinal, Organizational framework, Governance

The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing, nationwide study of the effects of environmental influences on behavioral and brain development in adolescents. The main objective of the study is to recruit and assess over eleven thousand 9–10-year-olds and follow them over the course of 10 years to characterize normative brain and cognitive development, the many factors that influence brain development, and the effects of those factors on mental health and other outcomes. The study employs state-of-the-art multimodal brain imaging, cognitive and clinical assessments, bioassays, and careful assessment of substance use, environment, psychopathological symptoms, and social functioning. The data is a resource of unprecedented scale and depth for studying typical and atypical development. The aim of this manuscript is to describe the baseline neuroimaging processing and subject-level analysis methods used by ABCD. Processing and analyses include modality-specific corrections for distortions and motion, brain segmentation and cortical surface reconstruction derived from structural magnetic resonance imaging (sMRI), analysis of brain microstructure using diffusion MRI (dMRI), task-related analysis of functional MRI (fMRI), and functional connectivity analysis of resting-state fMRI. This manuscript serves as a methodological reference for users of publicly shared neuroimaging data from the ABCD Study.

Vaccines to large B cell lymphoma were made by the covalent attachment of an epitope from the gp70 glycoprotein (SSWDFITV) to the N-termini of the conformationally biased, response-selective C5a agonists EP54 (YSFKPMPLaR) and EP67 (YSFKDMP(MeL)aR). Syngeneic Balb/c mice were immunized with these EP54/EP67-containing vaccines and challenged with a lethal dose of the highly liver metastatic and gp70-expressing lymphoma cell line RAW117-H10 to evaluate the ability of these vaccines to induce protective immune outcomes. All mice immunized with SSWDFITVRRYSFKPMPLaR (Vaccine 2) and SSWDFITVRRYSFKDMP(MeL)aR (Vaccine 3) were protected to a lethal challenge of RAW117-H10 lymphoma (170 days survival) and exhibited no lymphoma infiltration or solid tumor nodules in the liver relative to unvaccinated controls (18 days survival). Vaccines 2 and 3 contained the protease-sensitive double-Arg (RR) linker sequence between the epitope and the EP54/EP67 moieties in order to provide a site for intracellular proteases to separate the epitope from the EP54/EP67 moieties once internalized by the APC and, consequently, enhance epitope presentation in the context of MHC I/II. These protected mice exhibited an immune outcome consistent with increased involvement of CD8(+) and/or CD4(+) T lymphocytes relative to controls and mice that did not survive or showed low survival rates as with Vaccines 1 and 4, which lacked the RR linker sequence. CD8(+) T lymphocytes activated in response to Vaccines 2 and 3 express cytotoxic specificity for gp70-expressing RAW117-H10 lymphoma cells, but not antigen-irrelevant MDA-MB231A human breast cancer cells. Results are discussed against the backdrop of the ability of EP54/EP67 to selectively target antigens to and activate C5a receptor-bearing antigen presenting cells and the prospects of using such vaccines therapeutically against lymphoma and other cancers.

Gender is increasingly being studied for risk and protective factors underlying substance abuse and addiction.The aim of this study was to assess gender differences in rates of substance abuse and dependence among drug users.A national population sample was examined, focusing on 2 age groups (youths, aged 12-17 years, and young adults, aged 18-25 years) and several commonly abused substances (alcohol, marijuana, and nonmedical prescription medication use). Combined annual data from the National Survey on Drug Use and Health (NSDUH), aggregated from 2002-2005, were used for gender comparisons of rates of substance use, as well as abuse and dependence, among users.Overall rates of substance use were significantly higher for males than for females (P0.01 for all substances except sedatives and tranquilizers); however, patterns of use, abuse, or dependence among users differed by age group and drug. Interestingly, patterns for youths differed from the overall population and from young adults. Girls exceeded boys in their use of alcohol (P0.01) and their nonmedical use of psychotherapeutics (ie, prescription-type pain relievers, stimulants, tranquilizers, sedatives) (P0.01); among users, girls were significantly more likely to be dependent on the latter (P0.01). Boys reported significantly greater use and abuse of and dependence on marijuana (P0.01). In the young adults, the proportion of female users reporting dependence on cocaine or psychotherapeutics was significantly higher than for male users (P0.01), who nonetheless reported significantly greater use of these drugs (P0.01). Among users, males generally exceeded females in meeting abuse criteria (P0.01 for marijuana among 12- to 17-year-olds and for alcohol, marijuana, and psychotherapeutics among 18- to 25-year-olds), with some exceptions mainly in the youngest cohort.In this national population sample of youths and young adults, these findings suggest that gender, age, and substance of abuse may all play a role in the observed patterns of drug use, abuse, and dependence. Understanding the reasons for these differences and continuing to evaluate these patterns over time could help in the development of targeted and more effective prevention and treatment interventions.

B-cell chronic lymphocytic leukemia (B-CLL) is characterized by an accumulation of neoplastic B cells due to their resistance to apoptosis and increased survival. Among various factors, the tumor microenvironment is known to play a role in the regulation of cell proliferation and survival of many cancers. However, it remains unclear how the tumor microenvironment contributes to the increased survival of B-CLL cells. Therefore, we studied the influence of bone marrow stromal cell–induced hedgehog (Hh) signaling on the survival of B-CLL cells. Our results show that a Hh signaling inhibitor, cyclopamine, inhibits bone marrow stromal cell–induced survival of B-CLL cells, suggesting a role for Hh signaling in the survival of B-CLL cells. Furthermore, gene expression profiling of primary B-CLL cells (n = 48) indicates that the expression of Hh signaling molecules, such as GLI1, GLI2, SUFU, and BCL2, is significantly increased and correlates with disease progression of B-CLL patients with clinical outcome. In addition, SUFU and GLI1 transcripts, as determined by real-time PCR, are significantly overexpressed and correlate with adverse indicators of clinical outcome in B-CLL patients, such as cytogenetics or CD38 expression. Furthermore, selective down-regulation of GLI1 by antisense oligodeoxynucleotides (GLI1-ASO) results in decreased BCL2 expression and cell survival, suggesting that GLI1 may regulate BCL2 and, thereby, modulate cell survival in B-CLL. In addition, there was significantly increased apoptosis of B-CLL cells when cultured in the presence of GLI1-ASO and fludarabine. Together, these results reveal that Hh signaling is important in the pathogenesis of B-CLL and, hence, may be a potential therapeutic target. (Mol Cancer Res 2008;6(12):1928–36)

Substance abuse among older adults has received little attention in the past, presumably because this population has traditionally accounted for only a small percentage of the drug abuse problem in the United States. The aging of the baby boomer generation (born 1946-1964), however, will soon swell the ranks of older adults and dramatically alter the demography of American society. Several observations suggest that this expansion will likely be accompanied by a precipitous increase in the abuse of drugs, including prescription medications and illicit substances, among older adults. While it is now evident that the brain changes continuously across life, how drugs of abuse interact with these age-related changes remains unclear. The dynamic nature of brain function, however, suggests that substance abuse during older age may augment the risks and require unique considerations for diagnosis and treatment. In addition to describing current and projected prevalence estimates of substance abuse among older adults, the present review discusses how aging affects brain systems involved in drug abuse, and explores the potential impact of drug abuse on the aging brain. Future directions for substance abuse research among older adults will also be considered.

Endocrine-disrupting chemicals with estrogenic activity (EA) or anti-EA (AEA) have been extensively reported to possibly have many adverse health effects. We have developed robotized assays using MCF-7:WS8 cell proliferation (or suppression) to detect EA (or AEA) of 78 test substances supplied by the Interagency Coordinating Committee on the Validation of Alternative Methods and the National Toxicology Program's Interagency Center for the Evaluation of Alternative Toxicological Methods for validation studies. We also assayed ICI 182,780, a strong estrogen antagonist. Chemicals to be assayed were initially examined for solubility and volatility to determine optimal assay conditions. For both EA and AEA determinations, a Range-Finder assay was conducted to determine the concentration range for testing, followed by a Comprehensive assay. Test substances with potentially positive results from an EA Comprehensive assay were subjected to an EA Confirmation assay that evaluated the ability of ICI 182,780 to reverse chemically induced MCF-7 cell proliferation. The AEA assays examined the ability of chemicals to decrease MCF-7 cell proliferation induced by nonsaturating concentrations of 17β-estradiol (E2), relative to ICI or raloxifene, also a strong estrogen antagonist. To be classified as having AEA, a saturating concentration of E2 had to significantly reverse the decrease in cell proliferation produced by the test substance in nonsaturating E2. We conclude that our robotized MCF-7 EA and AEA assays have accuracy, sensitivity, and specificity values at least equivalent to validated test methods accepted by the U.S. Environmental Protection Agency and the Organisation for Economic Co-operation and Development.

Sleep-related disorders are common in the general adult population; Therapeutic massage is an ideal way to deal with the health disorders naturally. A quasi experimental study has been carried out to determine the effectiveness of therapeutic back massage on quality of sleep among 60 elderly people in the selected old age homes, in Mangalore, Karnataka, India, found that there was significant difference 6.23 (p