Background

Breakthrough cases of SARS-CoV-2 infection correlate with decreased antibody immunity following mRNA vaccination. Measuring kinetics of vaccine efficacy using traditional laboratory approaches is more expensive and can be impractical. In this study, we evaluated the diagnostic performance of a validated COVID-19 point-of-care lateral flow assay (LFA) kit in detecting post-vaccination antibody response.

Methods

We conducted a prospective cohort study of whole blood and plasma samples to evaluate the performance of a LFA in detecting SARS-CoV-2-specific antibodies following mRNA vaccination compared to enzyme-linked immunosorbent assays (ELISAs). Health care workers at 2 tertiary centers who completed an initial BNT162b2 (n = 103) or mRNA-1273 (n = 35) vaccine series were enrolled between June and August of 2021. We performed an exploratory analysis to correlate band strength and antibody concentration of LFAs and ELISAs respectively.

Results

When compared to the ELISA, LFA results showed similar test positivity for plasma samples (P = 0.55), but not for whole blood samples (P < 0.001). For whole blood samples on the LFA, antibody detection differed between BNT162b2 (68.9%, 95% CI: 59.1%-77.7%) and mRNA-1273 (100%, 95% CI: 90.0%-100%, P < 0.001) vaccines. Higher plasma antibody concentrations correlated with greater LFA sensitivity. Samples with thick LFA bands had higher antibody concentrations compared to samples having faint LFA bands (81.8 arbitrary unit [AU]/mL vs. 57.1 AU/mL, P < 0.01).

Conclusions

The performance of a LFA in detecting SARS-CoV-2 antibodies was significantly better when plasma samples were used. The strength of label bands on the LFA may correlate with antibody concentration and could be a useful point-of-care monitoring tool for post-vaccine antibody status.

PURPOSE: Health disparities continue to affect racial and ethnic marginalized obstetric patients disproportionally with increased risk of Cesarean delivery and pregnancy-related death. Yet, the literature on what influences such disparities in obstetric anesthesia service and its clinical outcomes is less well known. We set out to describe racial and ethnic disparities in obstetric anesthesia during the peripartum period in the USA via a scoping review of the recent literature. SOURCE: Using the Institute of Medicines definition of disparities, we searched the National Library of Medicines PubMed/Medline, Embase, Web of Science, APA PsycINFO, and Google Scholar for articles published between 1 January 2000 and 30 June 2022 to identify literature on racial and ethnic disparities in obstetric anesthesia. PRINCIPAL FINDINGS: Out of 8,432 articles reviewed, 15 met our inclusion criteria. All but one study was observational. Seven studies were single-institutional while the remaining used multicentre data/databases. All studies compared two or more race and ethnicity classifications. Studies in this review described disparities in the use of labour epidural analgesia, labour epidural request timing, anesthesia for Cesarean deliveries, postpartum pain management, and epidural blood patch for postdural puncture headaches. Several studies reported disparities observed in the unadjusted models becoming no longer significant when adjusted for other covariates. CONCLUSION: Based on the findings of the present scoping review on racial and ethnic disparities in obstetric anesthesia, we present an evidence map identifying knowledge gaps and propose a future research agenda.

A major feature of life in groups is that individuals experience social stressors of varying intensity and type. Social stress can have profound effects on health, social behavior, and ongoing relationships. Relationships can also buffer the experience of exogenous stressors. Social stress has most commonly been investigated in dyadic contexts in mice and rats that produce intense stress. Here we review findings from studies of diverse rodents and non-traditional group housing paradigms, focusing on laboratory studies of mice and rats housed in visible burrow systems, prairie and meadow voles, and mole-rats. We argue that the use of methods informed by the natural ecology of rodent species provides novel insights into the relationship between social stress, behavior and physiology. In particular, we describe how this ethologically inspired approach reveals how individuals vary in their experience of and response to social stress, and how ecological and social contexts impact the effects of stress. Social stress induces adaptive changes, as well as long-term disruptive effects on behavior and physiology.

The ability to selectively attend to stimuli increases the efficiency of learning. However, learning traps can develop when attention prematurely narrows to a subset of the features that predict outcomes, resulting in suboptimal decisions. The current work investigated the potential for learning traps to be particularly damaging in dynamic environments, where the features that predict rewards and losses change during learning. Two experiments (N=316) found that when learners received choice-contingent feedback, they frequently fell into a learning trap, using a suboptimal categorisation rule. Critically, these learners were unlikely to detect a subsequent rule change nor learn the new optimal rule. This change blindness was not attenuated by priming participants to expect change. These results show that the pernicious effects of learning traps are amplified in dynamic environments.

Objectives

We investigated the association between low-dose external occupational radiation exposure and circulatory disease morbidity among diagnostic medical radiation workers.

Methods

A cohort of 11 500 diagnostic medical radiation workers was linked with the National Dosimetry Registry data and the National Health Insurance Service data. Relative risks (RRs) were calculated to explore the association between occupational factors and circulatory disease morbidity, and excess relative risks per 100 milligray (ERR/100 mGy) were estimated to quantify the radiation dose-response relationship.

Results

Overall, there were 2270 cases of circulatory diseases during 93 696 person-years of observation (average follow-up=8.1 years). RRs for hypertension were significantly increased for individuals who started working before 2000 compared with those who started in 2005 and later. ERR/100 mGy for all circulatory diseases was 0.14 (95% CI -0.57 to 0.99). Radiation risks of cerebrovascular diseases and ischaemic heart disease were non-significantly increased with estimates of individual cumulative doses to the heart (ERR/100 mGy=3.10 (-0.75 to 11.59) and 1.22 (-0.71 to 4.73), respectively). However, ERR estimates were generally more strongly positive for female versus male workers and for younger workers versus more than 50-year-old workers.

Conclusions

This study provides little evidence in support of a positive association between occupational radiation exposure and the overall risk of circulatory disease over a short follow-up period among medical radiation workers in South Korea. However, significantly increased RR with earlier year first worked, elevated ERR in female workers and young workers should be further followed up.

BACKGROUND: Accessing professional medical interpreters for brief, low risk exchanges can be challenging. Machine translation (MT) for verbal communication has the potential to be a useful clinical tool, but few evaluations exist. OBJECTIVE: We evaluated the quality of three MT applications for English-Spanish and English-Mandarin two-way interpretation of low complexity brief clinical communication compared with human interpretation. DESIGN: Audio-taped phrases were interpreted via human and 3 MT applications. Bilingual assessors evaluated the quality of MT interpretation on four assessment categories (accuracy, fluency, meaning, and clinical risk) using 5-point Likert scales. We used a non-inferiority design with 15% inferiority margin to evaluate the quality of three MT applications with professional medical interpreters serving as gold standards. MAIN MEASURES: Proportion of interpretation exchanges deemed acceptable, defined as a composite score of 16 or greater out of 20 based on the four assessment categories. KEY RESULTS: For English to Spanish, the proportion of MT-interpreted phrases scored as acceptable ranged from 0.68 to 0.84, while for English to Mandarin, the range was from 0.62 to 0.76. Both Spanish/Mandarin to English MT interpretation had low acceptable scores (range 0.36 to 0.41). No MT interpretation met the non-inferiority threshold. CONCLUSION: While MT interpretation was better for English to Spanish or Mandarin than the reverse, the overall quality of MT interpretation was poor for two-way clinical communication. Clinicians should advocate for easier access to professional interpretation in all clinical spaces and defer use of MT until these applications improve.

Nonclassical features of crystallization in solution have been recently identified both experimentally and theoretically. In particular, an amorphous-phase-mediated pathway is found in various crystallization systems as an important route, different from the classical nucleation and growth model. Here, we utilize high-resolution in situ transmission electron microscopy with graphene liquid cells to study amorphous-phase-mediated formation of Ni nanocrystals. An amorphous phase is precipitated in the initial stage of the reaction. Within the amorphous particles, crystalline domains nucleate and eventually form nanocrystals. In addition, unique crystallization behaviors, such as formation of multiple domains and dislocation relaxation, are observed in amorphous-phase-mediated crystallization. Theoretical calculations confirm that surface interactions can induce amorphous precipitation of metal precursors, which is analogous to the surface-induced amorphous-to-crystalline transformation occurring in biomineralization. Our results imply that an unexplored nonclassical growth mechanism is important for the formation of nanocrystals.

Canopy coverage-based crop growth monitoring is highly dependent on the performance of crop segmentation algorithms. Under field conditions, crop segmentation for unmanned aerial vehicle (UAV) imagery should be sophisticated considering geometric distortion of images by wind and illumination variations. Under Korean cultivation conditions, a plastic mulch used to restrict weeds and prevent cold weather damage increases the complexity of the image background. In particular, on-site monitoring of onion and garlic growth has been limited by their morphology because they have long narrow leaves. The ultimate goal of this study was to quantify the growth parameters of onion and garlic at multiple growth stages using red, green, and blue (RGB) imagery obtained with UAVs. Canopy coverage and plant height were used as predictor variables to develop mathematical models to estimate the fresh weights of onion and garlic. The use of a CIE L*a*b* color space and mean shift (MS) algorithm enhanced the extraction of the canopy coverage of onion and garlic from complex backgrounds, including plastic mulch, soil, and shadows under varying illumination conditions. Multiple linear regression models consisting of the a* band-based vegetation fraction (VF) and structure from motion (SfM)-based plant height (PH) fitted the fresh weight data of onion and garlic well with high coefficients of determination (R2) ranging from 0.82 to 0.92. The validation results showed an almost 1:1 slope with highly linear relationships (R2 > 0.82) between the onion and garlic fresh weights obtained with the UAV RGB imagery and actual fresh weights, confirming that the UAV-RGB imagery based on the use of the a*band and PH can be used to quantify the spatial and temporal variability of onion and garlic growth parameters during the growing season.

Biocompatible field-effect-transistor-based biosensors have drawn attention for the development of next-generation human-friendly electronics. High-performance electronic devices must achieve low-voltage operation, long-term operational stability, and biocompatibility. Herein, we propose an electrolyte-gated thin-film transistor made of large-area solution-processed indium-gallium-zinc oxide (IGZO) semiconductors capable of directly interacting with live cells at physiological conditions. The fabricated transistors exhibit good electrical performance operating under sub-0.5 V conditions with high on-/off-current ratios (>107) and transconductance (>1.0 mS) over an extended operational lifetime. Furthermore, we verified the biocompatibility of the IGZO surface to various types of mammalian cells in terms of cell viability, proliferation, morphology, and drug responsiveness. Finally, the prolonged stable operation of electrolyte-gated transistor devices directly integrated with live cells provides the proof-of-concept for solution-processed metal oxide material-based direct cellular interfaces.

Nicotine, the main chemical constituent of tobacco, is highly detrimental to the developing fetus by increasing the risk of gestational complications and organ disorders. The effects of nicotine on human embryonic development and related mechanisms, however, remain poorly understood. Here, we performed single-cell RNA sequencing (scRNA-seq) of human embryonic stem cell (hESC)-derived embryoid body (EB) in the presence or absence of nicotine. Nicotine-induced lineage-specific responses and dysregulated cell-to-cell communication in EBs, shedding light on the adverse effects of nicotine on human embryonic development. In addition, nicotine reduced cell viability, increased reactive oxygen species (ROS), and altered cell cycling in EBs. Abnormal Ca²⁺ signaling was found in muscle cells upon nicotine exposure, as verified in hESC-derived cardiomyocytes. Consequently, our scRNA-seq data suggest direct adverse effects of nicotine on hESC differentiation at the single-cell level and offer a new method for evaluating drug and environmental toxicity on human embryonic development in utero.