Publications by authors named "Arora J"

Importance: Opioid use disorder (OUD) impacts millions of people worldwide. Prior studies investigating its underpinning neural mechanisms have not often considered how brain signals evolve over time, so it remains unclear whether brain dynamics are altered in OUD and have subsequent behavioral implications.

Objective: To characterize brain dynamic alterations and their association with cognitive control in individuals with OUD.

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Background: Digital and wearable intervention systems promise to improve how people manage their behavioral health conditions by making interventions available when the user can best benefit from them. However, existing interventions are obtrusive because they require attention and motivation to engage in, limiting the effectiveness of such systems in demanding contexts, such as when the user experiences alcohol craving. Mindless interventions, developed by the human-computer interaction community, offer an opportunity to intervene unobtrusively.

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Background: Machine learning and deep learning are powerful tools for analyzing electronic health records (EHRs) in healthcare research. Although family health history has been recognized as a major predictor for a wide spectrum of diseases, research has so far adopted a limited view of family relations, essentially treating patients as independent samples in the analysis.

Methods: To address this gap, we present ALIGATEHR, which models inferred family relations in a graph attention network augmented with an attention-based medical ontology representation, thus accounting for the complex influence of genetics, shared environmental exposures, and disease dependencies.

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Background: Successful nipple-areolar complex (NAC) reconstruction greatly influences patient outcomes for transgender patients undergoing chest masculinization. Despite the recent rise in case volume, little is known on designing the ideal NAC that maintains its aesthetics in dynamic settings. This study aimed to examine the characteristics of male NACs and their dimensional variability to help develop guidelines on designing the neo-NAC.

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Article Synopsis
  • Research indicates that structural and functional brain changes are linked to opioid use disorder (OUD), but earlier studies often had small participant groups, especially fewer women, and focused on single types of brain analysis.
  • This study aimed to use comprehensive brain imaging techniques, including T1-weighted MRI and resting-state fMRI, to better identify these brain alterations in OUD patients undergoing methadone treatment compared to healthy controls.
  • Results showed significant differences in brain volumes between the two groups, with OUD participants having smaller thalamus and temporal lobe sizes but larger brainstem and cerebellum volumes, and there were sex-based differences in the medial prefrontal cortex volumes.
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Background The petrous part of the temporal bone plays a crucial role in various cranial surgical approaches, particularly those involving the middle cranial fossa. Understanding the morphometry of this region is essential for minimizing intraoperative risks and enhancing surgical outcomes. This study aims to provide a detailed morphometric analysis of the petrous bone and its anatomical landmarks in an Indian population, addressing a gap in the literature.

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Newly approved subunit and mRNA vaccines for respiratory syncytial virus (RSV) demonstrate effectiveness in preventing severe disease, with protection exceeding 80% primarily through the generation of antibodies. An alternative vaccine platform called self-amplifying RNA (saRNA) holds promise in eliciting humoral and cellular immune responses. We evaluate the immunogenicity of a lipid nanoparticle (LNP)-formulated saRNA vaccine called SMARRT.

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Objective: Retention rates of lipotransfer remain variable, with the underlying cause associated with tissue oxygenation and blood supply barriers. One promising new method of improving tissue oxygenation is micro/nanobubbles (MNBs), which are small gas bubbles (<100 μm) generated within a saline solution. MNBs are stable and carry a significant amount of oxygen, and because of their negatively charged surface characteristics, they are an ideal oxygen-delivery solution.

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Termites digest wood using Carbohydrate-Active Enzymes (CAZymes) produced by gut bacteria with whom they have cospeciated at geological timescales. Whether CAZymes were encoded in the genomes of their ancestor's gut bacteria and transmitted to modern termites or acquired more recently from bacteria not associated with termites is unclear. We used gut metagenomes from 195 termites and one Cryptocercus, the sister group of termites, to investigate the evolution of termite gut bacterial CAZymes.

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Article Synopsis
  • - Gene therapy has advanced significantly in targeting genetic diseases and cancers, utilizing approaches like nanotechnology and CRISPR/Cas9 for more effective treatments.
  • - Nanotechnology enhances gene therapy by offering targeted drug delivery and low toxicity, while CRISPR/Cas9 is recognized for its powerful genome editing capabilities and broader applications compared to traditional therapies.
  • - Despite its potential, gene therapy faces challenges regarding safety and effectiveness that need to be resolved before it can be widely used in clinical settings; ongoing research aims to overcome these hurdles and improve patient outcomes.
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Signal transducers and activators of transcription (STAT) genes are involved in signal mediation of various hormones and cytokines. STAT1 located on chromosome number 2 is involved in mammary gland development and is associated with milk composition traits in bovines. This study aimed to find any relationship and impact of STAT1/ gene with milk fat and protein yields in a herd of Holstein Friesian (HF) crossbred cattle of sub-tropical climate of Northern India.

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  • Social determinants of health (SDOH), like community race, income, and education, significantly affect outcomes in pediatric out-of-hospital cardiac arrest (POHCA).
  • Analysis of data from over 27,000 POHCAs revealed that communities with lower minority populations, higher wealth, and better education had notably better rates of bystander CPR, AED use, and return of spontaneous circulation (ROSC).
  • The findings highlight the opportunity for public health interventions aimed at reducing health disparities linked to community SDOH to improve POHCA outcomes.
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Vitamin D status, the vitamin D receptor (VDR), and the ability to produce active vitamin D [1,25(OH)2D, regulated by Cyp27b1] regulate fetal and adult hematopoiesis. Transgenic reporter mice that express the tdTomato RFP as an indication of Vdr expression were used to identify immune cells that express the Vdr. Vdr/tdTomato+ hematopoietic progenitors were identified as early as embryonic day (E)15.

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Background: The COVID-19 pandemic prompted a surge in telehealth utilization. However, language barriers have emerged as a potential obstacle to effective telemedicine engagement, impacting millions of limited English proficient (LEP) individuals. Understanding the role of language spoken in telehealth outcomes is critical, particularly in cancer care, in which consistent follow-up and communication are vital.

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Aging and, in particular, the emergence of age-related disorders is associated with tissue dysfunction and macromolecular damage, some of which can be attributable to accumulated oxidative damage. In the current study, we determine the potential of 'plasma-derived fraction (E5)' for cellular rejuvenation and extending the lifespan of Sprague Dawley (SD) rats. This is a unique study wherein we have used 24-month-old rats and monitored them until the end of their lifespan with and without E5 treatment.

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Background And Aims: Awake intubation is the preferred method for securing difficult airways. We compared intravenous (IV) propofol and dexmedetomidine for C-MAC D-blade-guided anticipated difficult nasotracheal intubation under conscious sedation.

Methods: This randomised study included 60 patients with difficult airway (El-Ganzouri Score 4-9).

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Objective: To assess the effectiveness of an interactive iPad-based educational module (cleft iBook) in enhancing parent/caregiver education related to cleft lip and/or cleft palate (CL/P) care.

Design: A prospective study involving pre- and post-intervention surveys.

Setting: The study was conducted at a craniofacial clinic in a dedicated children's hospital specifically during initial consultations for CL/P care.

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Functional coactivation between human brain regions is partly explained by white matter connections; however, how the structure-function relationship varies by function remains unclear. Here, we reference large data repositories to compute maps of structure-function correspondence across hundreds of specific functions and brain regions. We use natural language processing to accurately predict structure-function correspondence for specific functions and to identify macroscale gradients across the brain that correlate with structure-function correspondence as well as cortical thickness.

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Background: Glycated albumin (GA) has shown promise in predicting risk of adverse neonatal outcomes (ANO) in pregnant women with type 2 diabetes (T2DM) and gestational diabetes (GDM). However, previous studies showing a negative correlation between GA and body mass index (BMI) suggest that lower predictive cutoffs may be needed in populations with elevated BMI.

Methods: We performed a case-control study of prospectively enrolled pregnant women with T2DM or GDM and BMI ≥25 kg/m2 matched to biobanked controls without diabetes.

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In clinical research, it is crucial to segment the magnetic resonance (MR) brain image for studying the internal tissues of the brain. To address this challenge in a sustainable manner, a novel approach has been proposed leveraging the power of unsupervised clustering while integrating conditional spatial properties of the image into intuitionistic clustering technique for segmenting MRI images of brain scans. In the proposed technique, an Intuitionistic-based clustering approach incorporates a nuanced understanding of uncertainty inherent in the image data.

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