ev

Delta Variant Has Americans' Stress Levels Rising Again: Poll

Title: Delta Variant Has Americans' Stress Levels Rising Again: Poll
Category: Health News
Created: 8/20/2021 12:00:00 AM
Last Editorial Review: 8/23/2021 12:00:00 AM




ev

COVID Vaccine Protection Against Severe Disease

Title: COVID Vaccine Protection Against Severe Disease
Category: Health News
Created: 8/25/2021 12:00:00 AM
Last Editorial Review: 8/25/2021 12:00:00 AM




ev

College Is Even More Stressful for Girls: Study

Title: College Is Even More Stressful for Girls: Study
Category: Health News
Created: 8/26/2021 12:00:00 AM
Last Editorial Review: 8/26/2021 12:00:00 AM




ev

Long COVID, Big Bills: Grim Legacy of Even Short Hospital Stays

Title: Long COVID, Big Bills: Grim Legacy of Even Short Hospital Stays
Category: Health News
Created: 8/25/2021 12:00:00 AM
Last Editorial Review: 8/26/2021 12:00:00 AM




ev

More Evidence Ties Gum Disease With Heart Disease

Title: More Evidence Ties Gum Disease With Heart Disease
Category: Health News
Created: 8/27/2021 12:00:00 AM
Last Editorial Review: 8/27/2021 12:00:00 AM




ev

Could a Long-Used Cholesterol Drug Fight Severe COVID-19?

Title: Could a Long-Used Cholesterol Drug Fight Severe COVID-19?
Category: Health News
Created: 8/27/2021 12:00:00 AM
Last Editorial Review: 8/27/2021 12:00:00 AM




ev

Regular Exercise Can Help Shield You From Severe COVID

Title: Regular Exercise Can Help Shield You From Severe COVID
Category: Health News
Created: 8/23/2022 12:00:00 AM
Last Editorial Review: 8/23/2022 12:00:00 AM




ev

AHA News: Newborn Was 'Very Sick Little Boy' Despite Several Normal Prenatal Ultrasounds

Title: AHA News: Newborn Was 'Very Sick Little Boy' Despite Several Normal Prenatal Ultrasounds
Category: Health News
Created: 8/25/2022 12:00:00 AM
Last Editorial Review: 8/25/2022 12:00:00 AM




ev

26 Natural Ways to Lower Your Cholesterol Levels

Title: 26 Natural Ways to Lower Your Cholesterol Levels
Category: Health and Living
Created: 7/6/2022 12:00:00 AM
Last Editorial Review: 7/6/2022 12:00:00 AM




ev

Even Chores, Socializing Might Lower Your Odds for Dementia

Title: Even Chores, Socializing Might Lower Your Odds for Dementia
Category: Health News
Created: 7/28/2022 12:00:00 AM
Last Editorial Review: 7/29/2022 12:00:00 AM




ev

Everyday Activities That Can Cut Your Odds for Dementia

Title: Everyday Activities That Can Cut Your Odds for Dementia
Category: Health News
Created: 8/12/2022 12:00:00 AM
Last Editorial Review: 8/15/2022 12:00:00 AM




ev

Pious Parasites: Medieval Monks Battled Nasty Gut Germs

Title: Pious Parasites: Medieval Monks Battled Nasty Gut Germs
Category: Health News
Created: 8/19/2022 12:00:00 AM
Last Editorial Review: 8/19/2022 12:00:00 AM




ev

More Evidence Fitness Trackers Can Boost Your Health

Title: More Evidence Fitness Trackers Can Boost Your Health
Category: Health News
Created: 7/26/2022 12:00:00 AM
Last Editorial Review: 7/27/2022 12:00:00 AM




ev

Too Few U.S. Cities Have Good Hurricane Evacuation Plans

Title: Too Few U.S. Cities Have Good Hurricane Evacuation Plans
Category: Health News
Created: 8/26/2022 12:00:00 AM
Last Editorial Review: 8/26/2022 12:00:00 AM




ev

Does Tinnitus Ever Go Away?

Title: Does Tinnitus Ever Go Away?
Category: Diseases and Conditions
Created: 6/3/2022 12:00:00 AM
Last Editorial Review: 6/3/2022 12:00:00 AM




ev

High Blood Pressure Doubles Odds That COVID Will Be Severe

Title: High Blood Pressure Doubles Odds That COVID Will Be Severe
Category: Health News
Created: 7/25/2022 12:00:00 AM
Last Editorial Review: 7/25/2022 12:00:00 AM




ev

U.S. HPV Vaccination Rates Rising, Even Among Boys

Title: U.S. HPV Vaccination Rates Rising, Even Among Boys
Category: Health News
Created: 6/22/2022 12:00:00 AM
Last Editorial Review: 6/23/2022 12:00:00 AM




ev

Looking for Reliable Hay Fever Advice? It's Probably Not on YouTube

Title: Looking for Reliable Hay Fever Advice? It's Probably Not on YouTube
Category: Health News
Created: 8/16/2022 12:00:00 AM
Last Editorial Review: 8/16/2022 12:00:00 AM




ev

Evidence-based management of symptoms in serious respiratory illness: what is in our toolbox?

Extract

Living with a respiratory illness requires patients to manage a wide range of symptoms, many of which will worsen as a disease progresses. Breathlessness is a hallmark feature of respiratory conditions, occurring in almost all individuals with COPD and interstitial lung disease (ILD) [1, 2]. Cough is present in 78% of people with ILD and is frequently distressing, with physical, social and emotional impacts [1, 3].




ev

Impaired lung function and associated risk factors in children born prematurely: a systematic review and meta-analysis

Background

Immature lung development and respiratory morbidity place preterm-born children at high risk of long-term pulmonary sequelae. This systematic review and meta-analysis aims to quantify lung function in preterm-born children and identify risk factors for a compromised lung function.

Methods

We searched MEDLINE, Embase, Cochrane Library, Web of Science and Scopus for relevant studies published on preterm cohorts born since 1990. Studies comparing forced expiratory volume in 1 s (FEV1) in preterm-born children aged ≥5 years to term-born controls or normative data were included. Study quality was assessed using the Newcastle–Ottawa Scale for cohort studies. Standardised mean differences in FEV1 and secondary spirometry outcomes per study were pooled using meta-analysis. The impact of different demographic and neonatal variables on studies’ FEV1 effect sizes was investigated by meta-regression analyses. Certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluations framework.

Results

We identified 42 studies with unique cohorts including 4743 preterm children and 9843 controls. Median gestational age in the studies was 28.0 weeks and age at assessment ranged from 6.7 to 16.7 years. Preterm children had lower FEV1 than controls (–0.58 sd, 95% CI –0.69– –0.47 sd, p<0.001) resulting in a relative risk of 2.9 (95% CI 2.4–3.4) for abnormal outcome, with high certainty of evidence. FEV1 was significantly associated with gestational age, birthweight, bronchopulmonary dysplasia and invasive mechanical ventilation in univariate meta-regression analyses (R2=36–96%).

Conclusion

This systematic review shows robust evidence of impaired lung function in preterm-born children with a high certainty of evidence.




ev

Epidemiology of severe asthma in children: a systematic review and meta-analysis

Background

Severe asthma significantly impacts a minority of children with asthma, leading to frequent symptoms, hospitalisations and potential long-term health consequences. However, accurate global data on severe asthma epidemiology is lacking. This study aims to address this gap, providing data on severe asthma epidemiology, regional differences and associated comorbidities.

Methods

We conducted a rigorous systematic review and meta-analysis following a registered protocol (PROSPERO CRD42023472845). We searched PubMed, Scopus and Web of Science for cohort or cross-sectional studies published since 2003, evaluating severe asthma incidence and prevalence in children. Study quality and risk of bias were assessed using STROBE guidelines.

Results

Nine studies investigating European children with asthma (aged 5–18 years) were included in the meta-analysis. No significant publication bias was found. The overall severe asthma prevalence in children with asthma was 3% (95% CI 1–6; I2=99.9%; p<0.001), with no significant difference between males and females. Prevalence estimates varied significantly depending on the diagnostic criteria used (Global Initiative for Asthma: 6%; European Respiratory Society/American Thoracic Society: 1%; other: 3%). Because none of the examined studies were prospectively designed, incidence rates could not be determined.

Conclusions

This systematic review and meta-analysis provide the first robust assessment of severe asthma prevalence among European children. Our findings underscore the need for comprehensive research to address knowledge gaps in severe asthma, including determining incidence rates, standardising definitions, investigating regional differences and evaluating comorbidities and treatment strategies.




ev

Noninvasive diagnostic modalities and prediction models for detecting pulmonary hypertension associated with interstitial lung disease: a narrative review

Pulmonary hypertension (PH) is highly prevalent in patients with interstitial lung disease (ILD) and is associated with increased morbidity and mortality. Widely available noninvasive screening tools are warranted to identify patients at risk for PH, especially severe PH, that could be managed at expert centres. This review summarises current evidence on noninvasive diagnostic modalities and prediction models for the timely detection of PH in patients with ILD. It critically evaluates these approaches and discusses future perspectives in the field. A comprehensive literature search was carried out in PubMed and Scopus, identifying 39 articles that fulfilled inclusion criteria. There is currently no single noninvasive test capable of accurately detecting and diagnosing PH in ILD patients. Estimated right ventricular pressure (RVSP) on Doppler echocardiography remains the single most predictive factor of PH, with other indirect echocardiographic markers increasing its diagnostic accuracy. However, RVSP can be difficult to estimate in patients due to suboptimal views from extensive lung disease. The majority of existing composite scores, including variables obtained from chest computed tomography, pulmonary function tests and cardiopulmonary exercise tests, were derived from retrospective studies, whilst lacking validation in external cohorts. Only two available scores, one based on a stepwise echocardiographic approach and the other on functional parameters, predicted the presence of PH with sufficient accuracy and used a validation cohort. Although several methodological limitations prohibit their generalisability, their use may help physicians to detect PH earlier. Further research on the potential of artificial intelligence may guide a more tailored approach, for timely PH diagnosis.




ev

Patient-managed interventions for adults with bronchiectasis: evidence, challenges and prospects

Bronchiectasis is a chronic lung condition which is characterised by recurrent chest infections, chronic sputum production and cough, and limited exercise tolerance. While bronchiectasis may be caused by various aetiologies, these features are shared by most patients with bronchiectasis regardless of the cause. This review consolidates the existing evidence on patient-managed interventions for adults with bronchiectasis, while also outlining areas for future research. Airway clearance techniques and hyperosmolar agents are key components of the bronchiectasis management and consistently recommended for clinical implementation. Questions around their prescription, such as optimal sequence of delivery, are still to be answered. Pulmonary rehabilitation and exercise are also recommended for patients with bronchiectasis. Relatively strong evidence underpins this recommendation during a clinically stable stage of the disease, although the role of pulmonary rehabilitation following an exacerbation is still unclear. Additionally, self-management programmes feature prominently in bronchiectasis treatment, yet the lack of consensus regarding their definition and outcomes presents hurdles to establishing a cohesive evidence base. Moreover, cough, a cardinal symptom of bronchiectasis, warrants closer examination. Although managing cough in bronchiectasis may initially appear risky, further research is necessary to ascertain whether strategies employed in other respiratory conditions can be safely and effectively adapted to bronchiectasis, particularly through identifying patient responder populations and criteria where cough may not enhance airway clearance efficacy and its control is needed. Overall, there is a growing recognition of the importance of patient-managed interventions in the bronchiectasis management. Efforts to improve research methodologies and increase research funding are needed to further advance our understanding of these interventions, and their role in optimising patient care and outcomes.




ev

Multicomponent services for symptoms in serious respiratory illness: a systematic review and meta-analysis

Background

People living with serious respiratory illness experience a high burden of symptoms. This review aimed to determine whether multicomponent services reduce symptoms in people with serious illness related to respiratory disease.

Methods

Electronic databases were searched to identify randomised controlled trials (RCTs) evaluating multicomponent services that enrolled patients due to symptoms, rather than underlying disease, and provided at least one nonpharmacological intervention. The primary outcome was chronic breathlessness and secondary outcomes were health-related quality of life (HRQoL), cough, fatigue and adverse events. At least two authors independently screened studies, assessed risk of bias and extracted data.

Results

Five RCTs, involving 439 patients, were included. In comparison to usual care, multicomponent services improved breathlessness mastery (Chronic Respiratory Questionnaire (CRQ) mastery scale, mean difference (MD) 0.43 points, 95% CI 0.20–0.67, three RCTs, 327 participants) and HRQoL (CRQ total score, MD 0.24 points, 95% CI 0.04–0.40, two RCTs, 237 participants). Fatigue did not improve with multicomponent services and no studies evaluated cough. No serious adverse events were reported. The one study evaluating mortality found increased survival in those accessing a multicomponent service. The certainty of evidence was very low, mainly due to detection and reporting bias.

Conclusion

Multicomponent services improve breathlessness mastery and HRQoL, with minimal risk. These findings support the use of multicomponent symptom-directed services for people living with serious respiratory illness.




ev

The effect of graded exercise therapy on fatigue in people with serious respiratory illness: a systematic review

Background

In adults with serious respiratory illness, fatigue is prevalent and under-recognised, with few treatment options. The aim of this review was to assess the impact of graded exercise therapy (GET) on fatigue in adults with serious respiratory illness.

Methods

Electronic databases were searched to identify randomised controlled trials (RCTs) testing GET (involving incremental increases in exercise from an established baseline) in adults with serious respiratory illness. The primary outcome was fatigue and secondary outcomes were health-related quality of life (HRQoL) and adverse events. Two authors independently screened for inclusion, evaluated risk of bias and extracted data.

Results

76 RCTs were included with 3309 participants, most with a diagnosis of COPD or asthma. Reductions in fatigue measured by the Chronic Respiratory Disease Questionnaire fatigue domain score were demonstrated following GET consisting of aerobic with/without resistance training (mean difference (MD) 0.53 points, 95% CI 0.41–0.65, 11 RCTs, 624 participants) and GET using resistance training alone (MD 0.58 points, 95% CI 0.21–0.96, two RCTs, 82 participants) compared with usual care. Although the mean effect exceeded the minimal important difference, the lower end of the confidence intervals did not always exceed this threshold so the clinical significance could not be confirmed. GET consistently improved HRQoL in people with a range of chronic respiratory diseases on multiple HRQoL measures. No serious adverse events related to GET were reported.

Conclusion

GET may improve fatigue alongside consistent improvements in HRQoL in people with serious respiratory illness. These findings support the use of GET in the care of people with serious respiratory illness.




ev

Breathing techniques to reduce symptoms in people with serious respiratory illness: a systematic review

Background

In adults with serious respiratory illness, breathlessness is prevalent and associated with reduced health-related quality of life. The aim of this review was to assess the impact of breathing techniques on breathlessness in adults with serious respiratory illness.

Methods

Electronic databases were searched to identify randomised controlled trials testing breathing techniques (techniques that aim to alter the respiratory pattern, excluding respiratory muscle training) in people with serious respiratory illness. The primary outcome was breathlessness and secondary outcomes were health-related quality of life and adverse events. Two authors independently screened for inclusion, evaluated risk of bias and extracted data.

Results

73 randomised controlled trials were included with 5479 participants, most with COPD or asthma. Breathing exercises (pursed lip and/or diaphragmatic breathing) reduced breathlessness measured by the modified Medical Research Council scale compared to usual care (mean difference (MD) –0.40 points, 95% CI –0.70– –0.11, eight studies, n=323), although the effect did not exceed the minimal important difference. Yoga breathing also improved modified Medical Research Council score compared to usual care (MD –1.05 points, 95% CI –2.45–0.35, three studies, n=175). Breathing techniques consistently improved health-related quality of life in people with COPD and asthma on multiple health-related quality of life measures in comparison to usual care, with effects that generally exceeded the minimal important difference. No adverse events related to breathing techniques were reported.

Conclusion

Breathing techniques may improve breathlessness, and consistently improve health-related quality of life, in people with serious respiratory illness. These findings support the use of breathing exercises in the care of people with serious respiratory illness.




ev

Opioids for the palliation of symptoms in people with serious respiratory illness: a systematic review and meta-analysis

Background

People living with serious respiratory illness experience a high burden of distressing symptoms. Although opioids are prescribed for symptom management, they generate adverse events, and their benefits are unclear.

Methods

We examined the efficacy and safety of opioids for symptom management in people with serious respiratory illness. Embase, MEDLINE and the Cochrane Central Register of Controlled Trials were searched up to 11 July 2022. Reports of randomised controlled trials administering opioids to treat symptoms in people with serious respiratory illness were included. Key exclusion criteria included <80% of participants having a nonmalignant lung disease. Data were extracted regarding study characteristics, outcomes of breathlessness, cough, health-related quality of life (HRQoL) and adverse events. Treatment effects were pooled using a generic inverse variance model with random effects. Risk of bias was assessed using the Cochrane Risk of Bias tool version 1.

Results

Out of 17 included trials, six were laboratory-based exercise trials (n=70), 10 were home studies measuring breathlessness in daily life (n=788) and one (n=18) was conducted in both settings. Overall certainty of evidence was "very low" to "low". Opioids reduced breathlessness intensity during laboratory exercise testing (standardised mean difference (SMD) –0.37, 95% CI –0.67– –0.07), but not breathlessness measured in daily life (SMD –0.10, 95% CI –0.64–0.44). No effects on HRQoL (SMD –0.42, 95% CI –0.98–0.13) or cough (SMD –1.42, 95% CI –3.99–1.16) were detected. In at-home studies, opioids led to increased frequency of nausea/vomiting (OR 3.32, 95% CI 1.70–6.51), constipation (OR 3.08, 95% CI 1.69–5.61) and drowsiness (OR 1.37, 95% CI 1.01–1.86), with serious adverse events including hospitalisation and death identified.

Conclusions

Opioids improved exertional breathlessness in laboratory exercise studies, but did not improve breathlessness, cough or HRQoL measured in daily life at home. There were significant adverse events, which may outweigh any benefits.




ev

Dynamic dysregulation of retrotransposons in neurodegenerative diseases at the single-cell level [RESOURCES]

Retrotransposable elements (RTEs) are common mobile genetic elements comprising ~42% of the human genome. RTEs play critical roles in gene regulation and function, but how they are specifically involved in complex diseases is largely unknown. Here, we investigate the cellular heterogeneity of RTEs using 12 single-cell transcriptome profiles covering three neurodegenerative diseases, Alzheimer's disease (AD), Parkinson's disease, and multiple sclerosis. We identify cell type marker RTEs in neurons, astrocytes, oligodendrocytes, and oligodendrocyte precursor cells that are related to these diseases. The differential expression analysis reveals the landscape of dysregulated RTE expression, especially L1s, in excitatory neurons of multiple neurodegenerative diseases. Machine learning algorithms for predicting cell disease stage using a combination of RTE and gene expression features suggests dynamic regulation of RTEs in AD. Furthermore, we construct a single-cell atlas of retrotransposable elements in neurodegenerative disease (scARE) using these data sets and features. scARE has six feature analysis modules to explore RTE dynamics in a user-defined condition. To our knowledge, scARE represents the first systematic investigation of RTE dynamics at the single-cell level within the context of neurodegenerative diseases.




ev

Complete genomes of Asgard archaea reveal diverse integrated and mobile genetic elements [RESEARCH]

Asgard archaea are of great interest as the progenitors of Eukaryotes, but little is known about the mobile genetic elements (MGEs) that may shape their ongoing evolution. Here, we describe MGEs that replicate in Atabeyarchaeia, a wetland Asgard archaea lineage represented by two complete genomes. We used soil depth–resolved population metagenomic data sets to track 18 MGEs for which genome structures were defined and precise chromosome integration sites could be identified for confident host linkage. Additionally, we identified a complete 20.67 kbp circular plasmid and two family-level groups of viruses linked to Atabeyarchaeia, via CRISPR spacer targeting. Closely related 40 kbp viruses possess a hypervariable genomic region encoding combinations of specific genes for small cysteine-rich proteins structurally similar to restriction-homing endonucleases. One 10.9 kbp integrative conjugative element (ICE) integrates genomically into the Atabeyarchaeum deiterrae-1 chromosome and has a 2.5 kbp circularizable element integrated within it. The 10.9 kbp ICE encodes an expressed Type IIG restriction-modification system with a sequence specificity matching an active methylation motif identified by Pacific Biosciences (PacBio) high-accuracy long-read (HiFi) metagenomic sequencing. Restriction-modification of Atabeyarchaeia differs from that of another coexisting Asgard archaea, Freyarchaeia, which has few identified MGEs but possesses diverse defense mechanisms, including DISARM and Hachiman, not found in Atabeyarchaeia. Overall, defense systems and methylation mechanisms of Asgard archaea likely modulate their interactions with MGEs, and integration/excision and copy number variation of MGEs in turn enable host genetic versatility.




ev

Evolutionary dynamics of polyadenylation signals and their recognition strategies in protists [RESEARCH]

The poly(A) signal, together with auxiliary elements, directs cleavage of a pre-mRNA and thus determines the 3' end of the mature transcript. In many species, including humans, the poly(A) signal is an AAUAAA hexamer, but we recently found that the deeply branching eukaryote Giardia lamblia uses a distinct hexamer (AGURAA) and lacks any known auxiliary elements. Our discovery prompted us to explore the evolutionary dynamics of poly(A) signals and auxiliary elements in the eukaryotic kingdom. We use direct RNA sequencing to determine poly(A) signals for four protists within the Metamonada clade (which also contains G. lamblia) and two outgroup protists. These experiments reveal that the AAUAAA hexamer serves as the poly(A) signal in at least four different eukaryotic clades, indicating that it is likely the ancestral signal, whereas the unusual Giardia version is derived. We find that the use and relative strengths of auxiliary elements are also plastic; in fact, within Metamonada, species like G. lamblia make use of a previously unrecognized auxiliary element where nucleotides flanking the poly(A) signal itself specify genuine cleavage sites. Thus, despite the fundamental nature of pre-mRNA cleavage for the expression of all protein-coding genes, the motifs controlling this process are dynamic on evolutionary timescales, providing motivation for future biochemical and structural studies as well as new therapeutic angles to target eukaryotic pathogens.




ev

Mutational scanning of CRX classifies clinical variants and reveals biochemical properties of the transcriptional effector domain [RESEARCH]

The transcription factor (TF) cone-rod homeobox (CRX) is essential for the differentiation and maintenance of photoreceptor cell identity. Several human CRX variants cause degenerative retinopathies, but most are variants of uncertain significance. We performed a deep mutational scan (DMS) of nearly all possible single amino acid substitutions in CRX using a cell-based transcriptional reporter assay, curating a high-confidence list of nearly 2000 variants with altered transcriptional activity. In the structured homeodomain, activity scores closely aligned to a predicted structure and demonstrated position-specific constraints on amino acid substitution. In contrast, the intrinsically disordered transcriptional effector domain displayed a qualitatively different pattern of substitution effects, following compositional constraints without specific residue position requirements in the peptide chain. These compositional constraints were consistent with the acidic exposure model of transcriptional activation. We evaluated the performance of the DMS assay as a clinical variant classification tool using gold-standard classified human variants from ClinVar, identifying pathogenic variants with high specificity and moderate sensitivity. That this performance could be achieved using a synthetic reporter assay in a foreign cell type, even for a highly cell type-specific TF like CRX, suggests that this approach shows promise for DMS of other TFs that function in cell types that are not easily accessible. Together, the results of the CRX DMS identify molecular features of the CRX effector domain and demonstrate utility for integration into the clinical variant classification pipeline.




ev

Evidence for compensatory evolution within pleiotropic regulatory elements [RESEARCH]

Pleiotropy, measured as expression breadth across tissues, is one of the best predictors for protein sequence and expression conservation. In this study, we investigated its effect on the evolution of cis-regulatory elements (CREs). To this end, we carefully reanalyzed the Epigenomics Roadmap data for nine fetal tissues, assigning a measure of pleiotropic degree to nearly half a million CREs. To assess the functional conservation of CREs, we generated ATAC-seq and RNA-seq data from humans and macaques. We found that more pleiotropic CREs exhibit greater conservation in accessibility, and the mRNA expression levels of the associated genes are more conserved. This trend of higher conservation for higher degrees of pleiotropy persists when analyzing the transcription factor binding repertoire. In contrast, simple DNA sequence conservation of orthologous sites between species tends to be even lower for pleiotropic CREs than for species-specific CREs. Combining various lines of evidence, we propose that the lack of sequence conservation in functionally conserved pleiotropic CREs is owing to within-element compensatory evolution. In summary, our findings suggest that pleiotropy is also a good predictor for the functional conservation of CREs, even though this is not reflected in the sequence conservation of pleiotropic CREs.




ev

The chromatin tapestry as a framework for neurodevelopment [MINI-REVIEW]

The neuronal nucleus houses a meticulously organized genome. Within this structure, genetic material is not simply compacted but arranged into a precise and functional 3D chromatin landscape essential for cellular regulation. This mini-review highlights the importance of this chromatin landscape in healthy neurodevelopment, as well as the diseases that occur with aberrant chromatin architecture. We discuss insights into the fundamental mechanistic relationship between histone modifications, DNA methylation, and genome organization. We then discuss findings that reveal how these epigenetic features change throughout normal neurodevelopment. Finally, we highlight single-gene neurodevelopmental disorders that illustrate the interdependence of epigenetic features, showing how disruptions in DNA methylation or genome architecture can ripple across the entire epigenome. As such, we emphasize the importance of measuring multiple chromatin architectural aspects, as the disruption of one mechanism can likely impact others in the intricate epigenetic network. This mini-review underscores the vast gaps in our understanding of chromatin structure in neurodevelopmental diseases and the substantial research needed to understand the interplay between chromatin features and neurodevelopment.




ev

Be SMART About Asthma Management: Single Maintenance and Reliever Therapy

Single maintenance and reliever therapy (SMART) is an asthma treatment approach that utilizes combined inhaled corticosteroids and long-acting β-agonists for maintenance and quick relief therapy. Despite the evidence for its benefits in asthma treatment and its adoption into American and international asthma guidelines and recommendations, SMART remains a practice of some debate. This article reviews the available evidence for SMART and offers guidance for its integration into comprehensive asthma management. Overall, short-acting β-agonist-only asthma therapy regimens should be avoided, regardless of condition severity (SOR A Recommendation). Family medicine clinicians should start SMART for patients requiring either GINA Step 3 or 4 therapy, especially if they have signs of poor adherence (SOR B Recommendation). Finally, use budesonide-formoterol over other inhaled corticosteroid/long-acting β-agonist combinations when implementing SMART (SOR B Recommendation).




ev

Using Primary Health Care Electronic Medical Records to Predict Hospitalizations, Emergency Department Visits, and Mortality: A Systematic Review

Introduction:

High-quality primary care can reduce avoidable emergency department visits and emergency hospitalizations. The availability of electronic medical record (EMR) data and capacities for data storage and processing have created opportunities for predictive analytics. This systematic review examines studies which predict emergency department visits, hospitalizations, and mortality using EMR data from primary care.

Methods:

Six databases (Ovid MEDLINE, PubMed, Embase, EBM Reviews (Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, Cochrane Central Register of Controlled Trials, Cochrane Methodology Register, Health Technology Assessment, NHS Economic Evaluation Database), Scopus, CINAHL) were searched to identify primary peer-reviewed studies in English from inception to February 5, 2020. The search was initially conducted on January 18, 2019, and updated on February 5, 2020.

Results:

A total of 9456 citations were double-reviewed, and 31 studies met the inclusion criteria. The predictive ability measured by C-statistics (ROC) of the best performing models from each study ranged from 0.57 to 0.95. Less than half of the included studies used artificial intelligence methods and only 7 (23%) were externally validated. Age, medical diagnoses, sex, medication use, and prior health service use were the most common predictor variables. Few studies discussed or examined the clinical utility of models.

Conclusions:

This review helps address critical gaps in the literature regarding the potential of primary care EMR data. Despite further work required to address bias and improve the quality and reporting of prediction models, the use of primary care EMR data for predictive analytics holds promise.




ev

Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination

Objective:

In this study, we sought to comprehensively evaluate GPT-4 (Generative Pre-trained Transformer)’s performance on the 2022 American Board of Family Medicine’s (ABFM) In-Training Examination (ITE), compared with its predecessor, GPT-3.5, and the national family residents’ performance on the same examination.

Methods:

We utilized both quantitative and qualitative analyses. First, a quantitative analysis was employed to evaluate the model's performance metrics using zero-shot prompt (where only examination questions were provided without any additional information). After this, qualitative analysis was executed to understand the nature of the model's responses, the depth of its medical knowledge, and its ability to comprehend contextual or new information through chain-of-thoughts prompts (interactive conversation) with the model.

Results:

This study demonstrated that GPT-4 made significant improvement in accuracy compared with GPT-3.5 over a 4-month interval between their respective release dates. The correct percentage with zero-shot prompt increased from 56% to 84%, which translates to a scaled score growth from 280 to 690, a 410-point increase. Most notably, further chain-of-thought investigation revealed GPT-4’s ability to integrate new information and make self-correction when needed.

Conclusions:

In this study, GPT-4 has demonstrated notably high accuracy, as well as rapid reading and learning capabilities. These results are consistent with previous research indicating GPT-4's significant potential to assist in clinical decision making. Furthermore, the study highlights the essential role of physicians' critical thinking and lifelong learning skills, particularly evident through the analysis of GPT-4's incorrect responses. This emphasizes the indispensable human element in effectively implementing and using AI technologies in medical settings.




ev

The Evolution of Intermittent Mandatory Ventilation: Update and Implications for Home Care




ev

Supporting Evidence For Pulmonary Rehabilitation in the Treatment of Long COVID




ev

Effect of Fasting Prior to Extubation on Prevalence of Empty Stomach in Enterally Fed and Mechanically Ventilated Patients

BACKGROUND:Practice on fasting prior to extubation in critically ill patients is variable. Efficacy of fasting in reducing gastric volume has not been well established. The primary objective of this study was to assess the effect of 4 h of fasting on prevalence of empty stomach using gastric ultrasonography in critically ill subjects who are fasted for extubation. The secondary objectives were to evaluate the change in gastric volumes during 4 h of fasting and to determine factors associated with empty stomach after fasting.METHODS:This was a single-center, prospective, observational study on adult ICU subjects who were enterally fed for at least 6 h continuously and mechanically ventilated. Gastric ultrasound was performed immediately prior to commencement of fasting, after 4 h of fasting, and after nasogastric (NG) aspiration after 4 h of fasting. An empty stomach was defined as a gastric volume ≤ 1.5 mL/kg.RESULTS:Forty subjects were recruited, and 38 (95%) had images suitable for analysis. The prevalence of empty stomach increased after 4 h of fasting (25 [65.8%] vs 31 [81.6%], P = .041) and after 4 h of fasting with NG aspiration (25 [65.8%] vs 34 [89.5%], P = .008). There was a significant difference in median (interquartile range) gastric volume per body weight between before fasting and 4 h after fasting (1.0 [0.5–1.8] mL/kg vs 0.4 [0.2–1.0] mL/kg, P < .001). No patient factors were associated with higher prevalence of empty stomach after 4 h of fasting.CONCLUSIONS:Most mechanically ventilated subjects had empty stomachs prior to fasting for extubation. Fasting for 4 h further increased the prevalence of empty stomach at extubation to > 80%.




ev

Prevalence of Dental Caries and Utilization of Dental Services among WIC-participating Children: A scoping review

Purpose Low-income children experience disproportionately high rates of dental caries and challenges in accessing dental care compared to their higher-income peers. The purpose of this scoping review was to examine the prevalence of dental caries and dental service utilization among Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) enrolled children.Methods The literature search and review were conducted between September 2023 and February 2024. The review followed the PRISMA-ScR reporting guidelines and included three databases: PubMed, CINAHL, and Dentistry & Oral Sciences Source. The study focused on children aged one to five participating in WIC within the United States (US) and aimed to determine the prevalence of dental service utilization and dental caries in the targeted population.Results This review includes twelve articles that are quantitative observational studies conducted from February 2001 to February 2023. Most of the studies were conducted in WIC programs in the Southern and Midwest regions of the US. Dental caries rates decreased by 61.8% from 2004 to 2016, with the highest prevalence in 2004, and the lowest prevalence in 2016. Dental service utilization among WIC children increased by 56.9% from 1992 to 2020.Conclusion There has been an increase in dental service utilization among WIC-enrolled children, with an overall decrease in dental caries over the last two decades. However, the prevalence of dental caries remains disproportionately high for children enrolled in WIC when compared to non-participants. To develop effective dental interventions for children enrolled in WIC, it is fundamental to identify the unique determinants of dental caries in this population.




ev

A Strategic Guide to Improve and De-Risk Vaccine Development: CEPIs CMC Framework

The Coalition for Epidemic Preparedness Innovations (CEPI) has developed a robust CMC (Chemistry, Manufacturing, and Controls) Framework to enhance the likelihood of successful vaccine development. This Framework serves as a comprehensive guide, aiding developers in building effective strategies to overcome the challenges posed by the different phases of vaccine development, including the ones often referred to as the "valleys of death". The Framework lists stage-appropriate deliverables, categorized and refined, spanning five key areas: manufacturing process, formulation and stability, analytics, supply chain, and compliance. By emphasizing the critical aspects of CMC development, CEPI's objective is to expedite the progression of vaccine candidates from research to deployment, reducing delays, mitigating risks, and optimizing the overall development process, all while upholding uncompromising quality standards, ultimately increasing the probability of success.




ev

A Review of Artificial Intelligence and Machine Learning in Product Life Cycle Management

The pursuit of harnessing data for knowledge creation has been an enduring quest, with the advent of machine learning (ML) and artificial intelligence (AI) marking significant milestones in this journey. ML, a subset of AI, emerged as the practice of employing mathematical models to enable computers to learn and improve autonomously based on their experiences. In the pharmaceutical and biopharmaceutical sectors, a significant portion of manufacturing data remains untapped or insufficient for practical use. Recognizing the potential advantages of leveraging the available data for process design and optimization, manufacturers face the daunting challenge of data utilization. Diverse proprietary data formats and parallel data generation systems compound the complexity. The transition to Pharma 4.0 necessitates a paradigm shift in data capture, storage, and accessibility for manufacturing and process operations. This paper highlights the pivotal role of AI in converting process data into actionable knowledge to support critical functions throughout the whole product life cycle. Furthermore, it underscores the importance of maintaining compliance with data integrity guidelines, as mandated by regulatory bodies globally. Embracing AI-driven transformations is a crucial step toward shaping the future of the pharmaceutical industry, ensuring its competitiveness and resilience in an evolving landscape.




ev

Comparison of Binary Alcohol/Water Solvent Systems to Blood for Extractions of Blood-Contacting Medical Devices

The analysis of extractables and leachables and subsequent risk assessment is an important aspect of the determination of biocompatibility for many medical devices. Leachable chemicals have the potential to pose a toxicological risk to patients, and therefore it is required that they be adequately characterized and assessed for potential safety concerns. One important consideration in the assessment of leachables is the choice of a suitable simulating solvent intended to replicate the use condition for the device and its biological environment. This aspect of study design is especially difficult for blood-contacting medical devices due to the complexity of simulating the biological matrix. This publication reports a comparison of the extracting power of different binary solvent mixtures and saline in comparison with whole blood for a bloodline tubing set connected to a hemodialyzer. Ten different known extractables, spanning a range of physicochemical properties and molecular weights, were quantified. The results indicated that for low-molecular-weight analytes, a suitable exaggeration for whole blood can be obtained using a low-concentration ethanol/water mixture (20%), and in general, extracted quantity increases with the concentration of alcohol cosolvent. For polyvinylpyrrolidone, the opposite trend was observed, as solubility of the polymer was found to decrease with increasing alcohol concentration, resulting in lower extracted quantities at high alcohol concentrations. Analysis of ethanol/water concentrations in the extract solutions post extraction indicated no change in solvent composition.




ev

Development and Validation of a Customized Amplex UltraRed Assay for Sensitive Hydrogen Peroxide Detection in Pharmaceutical Water

For clean-room technologies such as isolators and restricted access barrier systems (RABS), decontamination using hydrogen peroxide (H2O2) is increasingly attractive to fulfill regulatory requirements. Several approaches are currently used, ranging from manual wipe disinfection to vapor phase hydrogen peroxide (VPHP) or automated nebulization sanitization. Although the residual airborne H2O2 concentration can be easily monitored, detection of trace H2O2 residues in filled products is rather challenging. To simulate the filling process in a specific clean room, technical runs with water for injection (WfI) are popular. Thus, the ability to detect traces of H2O2 in water is an important prerequisite to ensure a safe and reliable use of H2O2 for isolator or clean room decontamination. The objective of this study was to provide a validated quantitative, fluorometric Amplex UltraRed assay, which satisfies the analytical target profile of quantifying H2O2 in WfI at low nanomolar to low micromolar concentrations (ppb range) with high accuracy and high precision. The Amplex UltraRed technology provides a solid basis for this purpose; however, no commercial assay kit that fulfills these requirements is available. Therefore, a customized Amplex UltraRed assay was developed, optimized, and validated. This approach resulted in an assay that is capable of quantifying H2O2 in WfI selectively, sensitively, accurately, precisely, and robustly. This assay is used in process development and qualification approaches using WfI in H2O2-decontaminated clean rooms and isolators.




ev

Decoding biology with massively parallel reporter assays and machine learning [Reviews]

Massively parallel reporter assays (MPRAs) are powerful tools for quantifying the impacts of sequence variation on gene expression. Reading out molecular phenotypes with sequencing enables interrogating the impact of sequence variation beyond genome scale. Machine learning models integrate and codify information learned from MPRAs and enable generalization by predicting sequences outside the training data set. Models can provide a quantitative understanding of cis-regulatory codes controlling gene expression, enable variant stratification, and guide the design of synthetic regulatory elements for applications from synthetic biology to mRNA and gene therapy. This review focuses on cis-regulatory MPRAs, particularly those that interrogate cotranscriptional and post-transcriptional processes: alternative splicing, cleavage and polyadenylation, translation, and mRNA decay.




ev

A cellular identity crisis? Plasticity changes during aging and rejuvenation [Reviews]

Cellular plasticity in adult multicellular organisms is a protective mechanism that allows certain tissues to regenerate in response to injury. Considering that aging involves exposure to repeated injuries over a lifetime, it is conceivable that cell identity itself is more malleable—and potentially erroneous—with age. In this review, we summarize and critically discuss the available evidence that cells undergo age-related shifts in identity, with an emphasis on those that contribute to age-associated pathologies, including neurodegeneration and cancer. Specifically, we focus on reported instances of programs associated with dedifferentiation, biased differentiation, acquisition of features from alternative lineages, and entry into a preneoplastic state. As some of the most promising approaches to rejuvenate cells reportedly also elicit transient changes to cell identity, we further discuss whether cell state change and rejuvenation can be uncoupled to yield more tractable therapeutic strategies.




ev

High-resolution reconstruction of a C. elegans ribosome sheds light on evolutionary dynamics and tissue specificity [ARTICLE]

Caenorhabditis elegans is an important model organism for human health and disease, with foundational contributions to the understanding of gene expression and tissue patterning in animals. An invaluable tool in modern gene expression research is the presence of a high-resolution ribosome structure, though no such structure exists for C. elegans. Here, we present a high-resolution single-particle cryogenic electron microscopy (cryo-EM) reconstruction and molecular model of a C. elegans ribosome, revealing a significantly streamlined animal ribosome. Many facets of ribosome structure are conserved in C. elegans, including overall ribosomal architecture and the mechanism of cycloheximide, whereas other facets, such as expansion segments and eL28, are rapidly evolving. We identify uL5 and uL23 as two instances of tissue-specific ribosomal protein paralog expression conserved in Caenorhabditis, suggesting that C. elegans ribosomes vary across tissues. The C. elegans ribosome structure will provide a basis for future structural, biochemical, and genetic studies of translation in this important animal system.




ev

The small noncoding RNA Vaultrc5 is dispensable to mouse development [ARTICLE]

Vault RNAs (vtRNAs) are evolutionarily conserved small noncoding RNAs transcribed by RNA polymerase III. Vault RNAs were initially described as components of the vault particle, but have since been assigned multiple vault-independent functions, including regulation of PKR activity, apoptosis, autophagy, lysosome biogenesis, and viral particle trafficking. The full-length transcript has also been described as a noncanonical source of miRNAs, which are processed in a DICER-dependent manner. As central molecules in vault-dependent and independent processes, vtRNAs have been attributed numerous biological roles, including regulation of cell proliferation and survival, response to viral infections, drug resistance, and animal development. Yet, their impact to mammalian physiology remains largely unexplored. To study vault RNAs in vivo, we generated a mouse line with a conditional Vaultrc5 loss-of-function allele. Because Vaultrc5 is the sole murine vtRNA, this allele enables the characterization of the physiological requirements of this conserved class of small regulatory RNAs in mammals. Using this strain, we show that mice constitutively null for Vaultrc5 are viable and histologically normal but have a slight reduction in platelet counts, pointing to a potential role for vtRNAs in hematopoiesis. This work paves the way for further in vivo characterizations of this abundant but mysterious RNA molecule. Specifically, it enables the study of the biological consequences of constitutive or lineage-specific Vaultrc5 deletion and of the physiological requirements for an intact Vaultrc5 during normal hematopoiesis or in response to cellular stresses such as oncogene expression, viral infection, or drug treatment.




ev

Branch site recognition by the spliceosome [REVIEW]

The spliceosome is a eukaryotic multimegadalton RNA–protein complex that removes introns from transcripts. The spliceosome ensures the selection of each exon-intron boundary through multiple recognition events. Initially, the 5' splice site (5' SS) and branch site (BS) are bound by the U1 small nuclear ribonucleoprotein (snRNP) and the U2 snRNP, respectively, while the 3' SS is mostly determined by proximity to the branch site. A large number of splicing factors recognize the splice sites and recruit the snRNPs before the stable binding of the snRNPs occurs by base-pairing the snRNA to the transcript. Fidelity of this process is crucial, as mutations in splicing factors and U2 snRNP components are associated with many diseases. In recent years, major advances have been made in understanding how splice sites are selected in Saccharomyces cerevisiae and humans. Here, I review and discuss the current understanding of the recognition of splice sites by the spliceosome with a focus on recognition and binding of the branch site by the U2 snRNP in humans.




ev

The noninvasive ventilation outcomes score in patients requiring NIV for COPD exacerbation without prior evidence of airflow obstruction

Introduction

Exacerbation of COPD complicated by respiratory acidaemia is the commonest indication for noninvasive ventilation (NIV). The NIV outcomes (NIVO) score offers the best estimate of survival for those ventilated. Unfortunately, two-thirds of cases of COPD are unrecognised, and patients may present without COPD having been confirmed by spirometry.

Methods

In the 10-centre NIVO validation study there was no pre-admission spirometry in 111 of 844 consecutive patients (termed "clinical diagnosis" patients). We compared the performance of the NIVO, DECAF and CURB-65 scores for in-hospital mortality in the clinical diagnosis cohort. Usual clinical practice was not influenced, but confirmation of COPD in the year following discharge was captured.

Results

In the clinical diagnosis cohort, in-hospital mortality was 19.8% and rose incrementally across the NIVO risk categories, consistent with the NIVO validation cohort. NIVO showed good discrimination in the clinical diagnosis cohort: area under the receiver operating curve 0.724, versus 0.79 in the NIVO validation cohort. At 1 year after discharge, 41 of 89 clinical diagnosis patients had undertaken diagnostic spirometry; 33 of 41 had confirmation of airflow obstruction (forced expiratory volume in 1 s/(forced) vital capacity <0.7), meaning the diagnosis of COPD was incorrect in 19.5% of cases.

Discussion

These data support the use of the NIVO score in patients with a "clinical diagnosis" of COPD. NIVO can help guide shared decision-making, assess risk-adjusted outcomes by centre and challenge prognostic pessimism. Accurate diagnosis is critical to ensure that acute and long-term treatment is optimised; this study highlights failings in the follow-up of such patients.