Robust language-based mental health assessments in time and space through social media.

In the most comprehensive population surveys, mental health is only broadly captured through questionnaires asking about "mentally unhealthy days" or feelings of "sadness." Further, population mental health estimates are predominantly consolidated to yearly estimates at the state level, which is considerably coarser than the best estimates of physical health. Through the large-scale analysis of social media, robust estimation of population mental health is feasible at finer resolutions. In this study, we created a pipeline that used ~1 billion Tweets from 2 million geo-located users to estimate mental health levels and changes for depression and anxiety, the two leading mental health conditions. Language-based mental health assessments (LBMHAs) had substantially higher levels of reliability across space and time than available survey measures. This work presents reliable assessments of depression and anxiety down to the county-weeks level. Where surveys were available, we found moderate to strong associations between the LBMHAs and survey scores for multiple levels of granularity, from the national level down to weekly county measurements (fixed effects ß = 0.34 to 1.82; p < 0.001). LBMHAs demonstrated temporal validity, showing clear absolute increases after a list of major societal events (+23% absolute change for depression assessments). LBMHAs showed improved external validity, evidenced by stronger correlations with measures of health and socioeconomic status than population surveys. This study shows that the careful aggregation of social media data yields spatiotemporal estimates of population mental health that exceed the granularity achievable by existing population surveys, and does so with generally greater reliability and validity.

Cardiovascular disease risk assessment through sensing the circulating microbiome with perovskite quantum dots leveraging deep learning models for bacterial species selection.

Perovskite quantum dots (PQDs) are novel nanomaterials wherein perovskites are used to formulate quantum dots (QDs). The present study utilizes the excellent fluorescence quantum yields of these nanomaterials to detect 16S rRNA of circulating microbiome for risk assessment of cardiovascular diseases (CVDs). A long short-term memory (LSTM) deep learning model was used to find the association of the circulating bacterial species with CVD risk, which showed the abundance of three different bacterial species (Bauldia litoralis (BL), Hymenobacter properus (HYM), and Virgisporangium myanmarense (VIG)). The observations suggested that the developed nano-sensor provides high sensitivity, selectivity, and applicability. The observed sensitivities for Bauldia litoralis, Hymenobacter properus, and Virgisporangium myanmarense were 0.606, 0.300, and 0.281 fg, respectively. The developed sensor eliminates the need for labelling, amplification, quantification, and biochemical assessments, which are more labour-intensive, time-consuming, and less reliable. Due to the rapid detection time, user-friendly nature, and stability, the proposed method has a significant advantage in facilitating point-of-care testing of CVDs in the future. This may also facilitate easy integration of the approach into various healthcare settings, making it accessible and valuable for resource-constrained environments.

Smart carbon-based sensors for the detection of non-coding RNAs associated with exposure to micro(nano)plastics: an artificial intelligence perspective.

Micro(nano)plastics (MNPs) are pervasive environmental pollutants that individuals eventually consume. Despite this, little is known about MNP's impact on public health. In this article, we assess the evidence for potentially harmful consequences of MNPs in the human body, concentrating on molecular toxicity and exposure routes. Since MNPs are present in various consumer products, foodstuffs, and the air we breathe, exposure can occur through ingestion, inhalation, and skin contact. MNPs exposure can cause mitochondrial oxidative stress, inflammatory lesions, and epigenetic modifications, releasing specific non-coding RNAs in circulation, which can be detected to diagnose non-communicable diseases. This article examines the most fascinating smart carbon-based nanobiosensors for detecting circulating non-coding RNAs (lncRNAs and microRNAs). Carbon-based smart nanomaterials offer many advantages over traditional methods, such as ease of use, sensitivity, specificity, and efficiency, for capturing non-coding RNAs. In particular, the synthetic methods, conjugation chemistries, doping, and in silico approach for the characterization of synthesized carbon nanodots and their adaptability to identify and measure non-coding RNAs associated with MNPs exposure is discussed. Furthermore, the article provides insights into the use of artificial intelligence tools for designing smart carbon nanomaterials.

The master energy homeostasis regulator PGC-1α exhibits an mRNA nuclear export function.

PGC-1α plays a central role in maintaining mitochondrial and energy metabolism homeostasis, linking external stimuli to transcriptional co-activation of genes involved in adaptive and age-related pathways. The carboxyl-terminus encodes a serine/arginine-rich (RS) region and an RNA recognition motif, however the RNA-processing function(s) were poorly investigated over the past 20 years. Here, we show that the RS domain of human PGC-1α directly interacts with RNA and the nuclear RNA export receptor NXF1. Inducible depletion of PGC-1α and expression of RNAi-resistant RS-deleted PGC-1α further demonstrate that its RNA/NXF1-binding activity is required for the nuclear export of some canonical mitochondrial-related mRNAs and mitochondrial homeostasis. Genome-wide investigations reveal that the nuclear export function is not strictly linked to promoter-binding, identifying in turn novel regulatory targets of PGC-1α in non-homologous end-joining and nucleocytoplasmic transport. These findings provide new directions to further elucidate the roles of PGC-1α in gene expression, metabolic disorders, aging and neurodegeneration.

"They Can't Believe They're a Tiger": Insights from pediatric speech-language pathologist mobile app users and app designers.

BACKGROUND: Children with communication disorders experience difficulty in one or more areas of articulation and speech, language, fluency, voice and social communication, and they work with speech-language pathologists (SLPs) to improve their communication. With the rise of adoption and use for mobile applications among special education and healthcare service providers, SLPs also have implemented, and for some, contributed to the design of, mobile applications (apps) during clinical practice. However, how these mobile apps are designed and implemented for clinicians to facilitate their clients' communication and learning experiences during therapy remains underinvestigated. AIMS: This qualitative research study investigated how mobile apps were designed for clinicians to target assessment and intervention goals. Additionally, it focused on how clinicians adopted these apps while integrating therapy techniques to facilitate their clients' learning. METHODS AND PROCEDURES: Informed by the Research, Practice, and Design for iPad Apps (iRPD) framework and the Consolidated Framework for Implementation Research (CFIR), semi-structured interviews were conducted with 37 licensed pediatric SLPs, including 23 SLPs who have used apps and 14 SLPs who have contributed to the design of their own mobile apps. Two rounds of qualitative coding via template analysis and thematic analysis were then used to analyse client and clinician characteristics, clinical practice, therapy tools, app characteristics, influential factors and app design and use recommendations. OUTCOMES AND RESULTS: Results showed SLPs utilise different genres of assistive, educational and recreational game apps to support children's communication development when working with children who have diverse disorders and therapy needs across different age groups. SLPs who have designed their own apps emphasised the importance of following evidence-based practice, well-researched teaching methods and learning theories. Additionally, multiple financial, sociocultural, political and ethical factors contributed to the design, adoption and implementation of mobile apps during services. CONCLUSIONS AND IMPLICATIONS: By understanding the clinician's app use practices situated in various therapy activities and techniques, we specified a list of design recommendations for app designers who are interested in creating mobile apps for supporting children's speech and language development. By bringing insights from both clinical practitioners as well as those with additional technical design backgrounds, this study contributes to the understanding of clinical practice needs and strategies and will lead to the most optimal app design and adoption practice to support the well-being of children with communication disorders. WHAT THIS PAPER ADDS: What is already known on the subject Speech language pathologist (SLPs) implement mobile apps for clients with diverse therapy needs, and their app adoption and use are influenced by multifaceted factors. Although prior studies have reported SLPs' mobile app use, additional information is still needed. For example, the research literature does not include how specific technology is used during therapy practice, or specific details about challenges and needs in implementing and utilising the technology. Additional research also needs to include influential factors (e.g., financial, sociocultural, political, ethical) that are considered when selecting, implementing, assessing and designing an app. The lack of research in these areas directly affects the understanding of clinical mobile technology practices and further hinders clinicians' abilities to advocate for better clinical and design decisions towards identifying and implementing effective mobile apps that facilitate children's communication. What this study adds to existing knowledge This qualitative study is the first known empirical research that interviewed pediatric speech-language pathologists who have used and designed mobile apps for children who receive speech-language therapy across different clinical settings. By investigating experiences from clinician stakeholders to illustrate a holistic overview of app design and development to deployment, this study reported finding on (1) how clinicians use mobile apps to help children to participate in different therapy activities, and (2) a list of recommended design and development guidelines that informs the design and use of mobile apps that best support and motivate children to engage in therapy. What are the potential or actual clinical implications of this work? This study disseminates clinician-reported practices of app design and use with pediatric clients across different speech-language disorders, and identifies gaps and needs for clinicians and researchers who are interested in understanding the role of mobile technology in relationship to human communication and interaction. Additionally, the paper demonstrates that SLPs have instrumental roles rather than passive users in influencing the design and implementation of different genres of mobile apps through evidence-based clinical practice, and call for partnerships across clinicians, special educators and technologists to support children's communication development.

Membrane lipid raft homeostasis is directly linked to neurodegeneration.

Age-associated neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS), Parkinson's disease (PD) and Alzheimer's disease (AD) are an unmet health need, with significant economic and societal implications, and an ever-increasing prevalence. Membrane lipid rafts (MLRs) are specialised plasma membrane microdomains that provide a platform for intracellular trafficking and signal transduction, particularly within neurons. Dysregulation of MLRs leads to disruption of neurotrophic signalling and excessive apoptosis which mirrors the final common pathway for neuronal death in ALS, PD and AD. Sphingomyelinase (SMase) and phospholipase (PL) enzymes process components of MLRs and therefore play central roles in MLR homeostasis and in neurotrophic signalling. We review the literature linking SMase and PL enzymes to ALS, AD and PD with particular attention to attractive therapeutic targets, where functional manipulation has been successful in preclinical studies. We propose that dysfunction of these enzymes is upstream in the pathogenesis of neurodegenerative diseases and to support this we provide new evidence that ALS risk genes are enriched with genes involved in ceramide metabolism (P=0.019, OR = 2.54, Fisher exact test). Ceramide is a product of SMase action upon sphingomyelin within MLRs, and it also has a role as a second messenger in intracellular signalling pathways important for neuronal survival. Genetic risk is necessarily upstream in a late age of onset disease such as ALS. We propose that manipulation of MLR structure and function should be a focus of future translational research seeking to ameliorate neurodegenerative disorders.

Clinical overview of diabetes mellitus as a risk factor for cardiovascular death.

Global diabetes mellitus prevalence is increasing. Metabolic disorders, such as type 2 diabetes, are associated with abnormal cardiac electrophysiology and increased risk of arrhythmias. Patients with both diabetes types (1 and 2) suffer from sudden cardac death (SCD) as a leading cause of mortality. Cardiovascular death is defined as death attributable to cardiovascular disease (CVD) occurring shortly within the symptom onset. This usually arises from life-threatening ventricular tachyarrhythmias that lead to hemodynamic instability, and subsequent shock and death. A variety of pathways have been suggested that link hypoglycaemia to the development of adverse cardiovascular outcomes, including blood coagulation abnormalities, inflammation, endothelial dysfunction and sympathoadrenal responses. We propose a four-step framework for the optimisation of SCD risk factors in diabetic patients, to include: raising awareness to influence health behaviour, provision of screening programs, use of technology within educational programs to improve patient engagement and effective provision of diabetic community teams.

Landscape of ROD9 Island: Functional annotations and biological network of hypothetical proteins in Salmonella enterica.

Salmonella, an Enterobacteria is a therapeutically important pathogen for the host. The advancement of genome sequencing of S. enterica serovar Enteritidis have identified a distinct ROD9 pathogenic island, imparting virulence. The occurrence of 17 ROD9 hypothetical proteins, necessitates subsequent bioinformatics approach for structural and functional aspects of protein-protein relations or networks in different pathogenic phenotypes express. A collective analysis using predictive bioinformatics tools that includes NCBI-BLASTp and BLAST2GO annotated the motif patterns and functional significance. The VFDB identified 10 virulence proteins at both genomic and metagenomic level. Phylogenetic analysis revealed a divergent and convergent relationship between 17 ROD9 and 41 SP-1 proteins. Here, combining a comprehensive approach from sequence based, motif recognitions, domain identification, virulence ability to structural modelling provides a precise function to ROD9 proteins biological network, for which no experimental information is available.

Molecular insight to in vitro biocompatibility of phytofabricated copper oxide nanoparticles with human embryonic kidney cells.

AIM: To investigate the biocompatibility of green synthesized copper oxide nanoparticles (CuO Np) using floral extract of Calotropis gigantea in room condition. MATERIALS & METHODS: Green synthesized and characterized CuO Np was evaluated for their cellular and molecular biocompatibility by experimentally and computational molecular docking. RESULTS: Synthesized CuO NP was found to have a size 32 ± 09 nm with Î¶ potential -35 ± 12 mV. LC50 value was found to be 190 µg/ml. In vitro and in silico cytotoxicity analysis with HEK293 cells revealed the cytotoxic effect of CuO Np as consequences of interaction with histidine and arginine amino acid residues of Sod3 and p53 proteins via hydrogen bond of length 3.09 and 3.32 Å leading to oxidative stress ensuing toward apoptosis and cell cycle arrest. CONCLUSION: The outcomes proved the synthesized material as an alternative to the conventional method of synthesizing copper nanoparticles for biomedical and clinical applications.

Effects of honey in the management of alveolar osteitis: A study.

INTRODUCTION: Alveolar osteitis (AO) is a complication of tooth extraction which indicates inflammation of alveolar bone of either maxilla or mandible. This study uses Apitherapy where honey catalyses biological reactions to improve immune system, makes local environment unbearable for microorganisms in the affected socket and enhances healing. MATERIALS AND METHODS: 50 patients of AO were included in the study. After cleansing of the affected socket, honey dressing was applied. Dressings were changed daily for first 2 days and then altenatively. In biochemical investigations, CRP levels in the body were measured using Nephelometry method. Microbiological examination was done for the identification of microorganism and semi quantitative count of colony forming units. RESULT: Results were assessed from clinical, microbiological, biochemical and radiological findings at 1st, 2nd, 3rd, 5th, 7th day based on VAS score, erythema, pus discharge, swelling, lymphadenitis, fever, bleeding on probing, exposed bone and necrotic debris. Pre-Treatment CRP was 2.08 ± 1.62 which significantly (P = 0.0001) decreased to 0.82 ± 0.48. Mean change and average percentage change were 1.25 ± 1.51 and 44.1% respectively. CONCLUSION: Majority of the patients with exposed bone got healed socket with evidance of granulation tissue and healing gingiva in about one week. CRP levels at the completion of treatment of AO with honey dressing showed a significant decrease from the pre-treatment values indicating fast recovery. Microbiological examination showed presence of normal commensal flora at AO sites like Streptococcus, Staphyloccocus and Enterococcus. So, the role of bacteria in the genesis of AO, if any, appears unclear.

Honey a sweet approach to alveolar osteitis: A study.

BACKGROUND: Honey is one of the oldest known medicines. Its use has been rediscovered in later times by the medical profession, especially for dressing wounds. It has been reported from various clinical studies on the usages of honey as a dressing for infected wounds that the wound become sterile in 3-6 days, others have al so reported that the honey is effective in cleaning up infected wound. MATERIALS AND METHODS: The 54 patients of dry socket were selected from the from the outpatient department of oral and maxillofacial surgery. A diagnosis of dry socket was made clinically. This study was under taken to evaluate the effect of honey dressing in management of dry socket. RESULTS: In this study there was significant reduction if inflammation, hyperemia, edema and exudation after honey dressing that results in soothing effect and reduction in pain and discomfort. There was al so significant reduction in CRP level post operative days .There was side effect of honey was observed in our study, so it can be used as alternative for the management of dry socket. DISCUSSION: It has al so been reported that the honey dressing halt advancing necrosis. It has al so been found to act as barrier preventing wounds from becoming infected, preventing cross infection, and allowing burn wound to heal rapidly. CONCLUSIONS: There are no side effects of honey. Excess use of euginol, can lead to necrosis of bone. The honey can be used as medicament for the management of dry socket.