Altered development of face recognition among infants born amid the COVID-19 pandemic.

To effectively contain the spread of COVID-19, public health agencies mandated special regulations. Although they protected us from COVID-19, these restrictions have inevitably changed the environment around us. It remains unclear how these changes may have affected early cognitive development among infants born during the pandemic. Thus, this study examined how the COVID-19 restrictions have affected infants' face recognition ability, a hallmark of their cognitive capacities. Specifically, we used the familiarization and visual pair comparison paradigm to examine face recognition performance among infants aged 6 to 14 months amid the second wave of the pandemic (February to July 2021). Experiment 1 investigated the recognition of unmasked faces and found that only younger infants, but not older infants, recognized faces by showing a novelty preference. Experiment 2 examined the recognition of faces wearing masks and found that only older infants, but not younger ones, recognized faces by exhibiting a familiarity preference. These results suggest that with limited interactions during the pandemic, infants could have developed an overly specialized face processing ability that failed to recognize the faces of strangers. Moreover, infants could have obtained more information on masked faces during the pandemic and adapted to the current situation. In Expreiment 3, we further confirmed the restriction on infants' interpersonal experiences with a survey conducted both before and during the pandemic. Overall, these findings demonstrated how the pandemic altered early perceptual development and further confirmed that interpersonal experiences during infancy are critical in their cognitive development.

Endobronchial Phenylephrine in Airway Bleeding During Bronchoscopy Does not Cause Hypertension: A Retrospective Observational Study.

BACKGROUND: Bleeding is a known complication during bronchoscopy, with increased incidence in patients undergoing a more invasive procedure. Phenylephrine is a potent vasoconstrictor that can control airway bleeding when applied topically and has been used as an alternative to epinephrine. The clinical effects of endobronchial phenylephrine on systemic vasoconstriction have not been clearly evaluated. Here, we compared the effects of endobronchial phenylephrine versus cold saline on systemic blood pressure. METHODS: In all, 160 patients who underwent bronchoscopy and received either endobronchial phenylephrine or cold saline from July 1, 2017 to June 30, 2022 were included in this retrospective observational study. Intra-procedural blood pressure absolute and percent changes were measured and compared between the 2 groups. RESULTS: There were no observed statistical differences in blood pressure changes between groups. The median absolute change between the median and the maximum intra-procedural systolic blood pressure in the cold saline group was 29 mm Hg (IQR 19 to 41) compared with 31.8 mm Hg (IQR 18 to 45.5) in the phenylephrine group. The corresponding median percent changes in SBP were 33.6 % (IQR 18.8 to 39.4) and 28% (IQR 16.8 to 43.5) for the cold saline and phenylephrine groups, respectively. Similarly, there were no statistically significant differences in diastolic and mean arterial blood pressure changes between both groups. CONCLUSIONS: We found no significant differences in median intra-procedural systemic blood pressure changes comparing patients who received endobronchial cold saline to those receiving phenylephrine. Overall, this argues for the vascular and systemic safety of phenylephrine for airway bleeding as a reasonable alternative to epinephrine.

Using the ROX Index to Predict Treatment Outcome for High-Flow Nasal Cannula and/or Noninvasive Ventilation in Patients With COPD Exacerbations.

BACKGROUND: The ratio of oxygen saturation index (ROX index; or SpO2 /FIO2 /breathing frequency) has been shown to predict risk of intubation after high-flow nasal cannula (HFNC) support among adults with acute hypoxemic respiratory failure primarily due to pneumonia. However, its predictive value for other subtypes of respiratory failure is unknown. This study investigated whether the ROX index predicts liberation from HFNC or noninvasive ventilation (NIV), intubation with mechanical ventilation, or death in adults admitted for respiratory failure due to an exacerbation of COPD. METHODS: We performed a retrospective study of 260 adults hospitalized with a COPD exacerbation and treated with HFNC and/or NIV (continuous or bi-level). ROX index scores were collected at treatment initiation and predefined time intervals throughout HFNC and/or NIV treatment or until the subject was intubated or died. A ROX index score of ≥ 4.88 was applied to the cohort to determine if the same score would perform similarly in this different cohort. Accuracy of the ROX index was determined by calculating the area under the receiver operator curve. RESULTS: A total of 47 subjects (18%) required invasive mechanical ventilation or died while on HFNC/NIV. The ROX index at treatment initiation, 1 h, and 6 h demonstrated the best prediction accuracy for avoidance of invasive mechanical ventilation or death (area under the receiver operator curve 0.73 [95% CI 0.66-0.80], 0.72 [95% CI 0.65-0.79], and 0.72 [95% CI 0.63-0.82], respectively). The optimal cutoff value for sensitivity (Sn) and specificity (Sp) was a ROX index score > 6.88 (sensitivity 62%, specificity 57%). CONCLUSIONS: The ROX index applied to adults with COPD exacerbations treated with HFNC and/or NIV required higher scores to achieve similar prediction of low risk of treatment failure when compared to subjects with hypoxemic respiratory failure/pneumonia. ROX scores < 4.88 did not accurately predict intubation or death.

A Rare Prolactin-secreting Pituitary Carcinoma With Epidural and Thecal Metastases.

Pituitary carcinomas are rare but associated with significant morbidity and mortality. They remain challenging to diagnose and manage. In this case, we describe a 56-year-old man who presented with erectile dysfunction and binocular vertical diplopia. He had central hypogonadism, secondary adrenal insufficiency, and central hypothyroidism on biochemical testing. His serum prolactin was 1517 mcg/L (1517 ng/mL; reference range 4-15 mcg/L), and his sellar magnetic resonance imaging showed a 2.0 × 2.2 × 3.1 cm pituitary tumor. Pathology revealed a prolactin-secreting carcinoma. Despite treatment with a high-dose dopaminergic, 2 transsphenoidal resections, and 1 course of radiation, prolactin levels continued to rise. He developed metastases to the epidural space and thecal sac from the thoracic to sacral spine, for which he received 12 cycles of temozolomide chemotherapy with initial clinical and biochemical response. This was followed by disease escape and progression. We discuss the clinical and imaging features that warrant a high index of suspicion for pituitary carcinoma and review contemporary treatment.

Early Mobility Index and Patient Outcomes: A Retrospective Study in Multiple Intensive Care Units.

BACKGROUND: Early mobility interventions in intensive care units (ICUs) are safe and improve outcomes in subsets of critically ill adults. However, implementation varies, and the optimal mobility dose remains unclear. OBJECTIVE: To test for associations between daily dose of out-of-bed mobility and patient outcomes in different ICUs. METHODS: In this retrospective cohort study of electronic records from 7 adult ICUs in an academic quarternary hospital, multivariable linear regression was used to examine the effects of out-of-bed events per mobility-eligible day on mechanical ventilation duration and length of ICU and hospital stays. RESULTS: In total, 8609 adults hospitalized in ICUs from 2015 through 2018 were included. Patients were mobilized out of bed on 46.5% of ICU days and were eligible for mobility interventions on a median (IQR) of 2.0 (1-3) of 2.7 (2-9) ICU days. Median (IQR) out-of-bed events per mobility-eligible day were 0.5 (0-1.2) among all patients. For every unit increase in out-of-bed events per mobility-eligible day before extubation, mechanical ventilation duration decreased by 10% (adjusted coefficient [95% CI], -0.10 [-0.18 to -0.01]). Daily mobility increased ICU stays by 4% (adjusted coefficient [95% CI], 0.04 [0.03-0.06]) and decreased hospital stays by 5% (adjusted coefficient [95% CI], -0.05 [-0.07 to -0.03]). Effect sizes differed among ICUs. CONCLUSIONS: More daily out-of-bed mobility for ICU patients was associated with shorter mechanical ventilation duration and hospital stays, suggesting a dose-response relationship between daily mobility and patient outcomes. However, relationships differed across ICU subpopulations.

Next-Generation Photodetectors beyond Van Der Waals Junctions.

With the continuous advancement of nanofabrication techniques, development of novel materials, and discovery of useful manipulation mechanisms in high-performance applications, especially photodetectors, the morphology of junction devices and the way junction devices are used are fundamentally revolutionized. Simultaneously, new types of photodetectors that do not rely on any junction, providing a high signal-to-noise ratio and multidimensional modulation, have also emerged. This review outlines a unique category of material systems supporting novel junction devices for high-performance detection, namely, the van der Waals materials, and systematically discusses new trends in the development of various types of devices beyond junctions. This field is far from mature and there are numerous methods to measure and evaluate photodetectors. Therefore, it is also aimed to provide a solution from the perspective of applications in this review. Finally, based on the insight into the unique properties of the material systems and the underlying microscopic mechanisms, emerging trends in junction devices are discussed, a new morphology of photodetectors is proposed, and some potential innovative directions in the subject area are suggested.

Maintained imbalance of triglycerides, apolipoproteins, energy metabolites and cytokines in long-term COVID-19 syndrome patients.

Background: Deep metabolomic, proteomic and immunologic phenotyping of patients suffering from an infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have matched a wide diversity of clinical symptoms with potential biomarkers for coronavirus disease 2019 (COVID-19). Several studies have described the role of small as well as complex molecules such as metabolites, cytokines, chemokines and lipoproteins during infection and in recovered patients. In fact, after an acute SARS-CoV-2 viral infection almost 10-20% of patients experience persistent symptoms post 12 weeks of recovery defined as long-term COVID-19 syndrome (LTCS) or long post-acute COVID-19 syndrome (PACS). Emerging evidence revealed that a dysregulated immune system and persisting inflammation could be one of the key drivers of LTCS. However, how these biomolecules altogether govern pathophysiology is largely underexplored. Thus, a clear understanding of how these parameters within an integrated fashion could predict the disease course would help to stratify LTCS patients from acute COVID-19 or recovered patients. This could even allow to elucidation of a potential mechanistic role of these biomolecules during the disease course. Methods: This study comprised subjects with acute COVID-19 (n=7; longitudinal), LTCS (n=33), Recov (n=12), and no history of positive testing (n=73). 1H-NMR-based metabolomics with IVDr standard operating procedures verified and phenotyped all blood samples by quantifying 38 metabolites and 112 lipoprotein properties. Univariate and multivariate statistics identified NMR-based and cytokine changes. Results: Here, we report on an integrated analysis of serum/plasma by NMR spectroscopy and flow cytometry-based cytokines/chemokines quantification in LTCS patients. We identified that in LTCS patients lactate and pyruvate were significantly different from either healthy controls (HC) or acute COVID-19 patients. Subsequently, correlation analysis in LTCS group only among cytokines and amino acids revealed that histidine and glutamine were uniquely attributed mainly with pro-inflammatory cytokines. Of note, triglycerides and several lipoproteins (apolipoproteins Apo-A1 and A2) in LTCS patients demonstrate COVID-19-like alterations compared with HC. Interestingly, LTCS and acute COVID-19 samples were distinguished mostly by their phenylalanine, 3-hydroxybutyrate (3-HB) and glucose concentrations, illustrating an imbalanced energy metabolism. Most of the cytokines and chemokines were present at low levels in LTCS patients compared with HC except for IL-18 chemokine, which tended to be higher in LTCS patients. Conclusion: The identification of these persisting plasma metabolites, lipoprotein and inflammation alterations will help to better stratify LTCS patients from other diseases and could help to predict ongoing severity of LTCS patients.

Concurrent versus terminal feedback: The effect of feedback delivery on lumbar puncture skills in simulation training.

INTRODUCTION: Simulation-based medical education (SBME) is widely used to teach bedside procedural skills. Feedback is crucial to SBME but research on optimal timing to support novice learners' skill development has produced conflicting results. METHODS: We randomly assigned 32 novice medical students to receive feedback either during (concurrent) or after (terminal) trialing lumbar puncture (LP). Participants completed pre- and post-acquisition tests, as well as retention and transfer tests, graded on a LP checklist by two blinded expert raters. Cognitive load and anxiety were also assessed, as well as learners' perceptions of feedback. RESULTS: Participants who received concurrent feedback demonstrated significantly higher LP checklist scores (M = 91.54, SE = 1.90) after controlling for baseline levels, than those who received terminal feedback (M = 85.64, SE = 1.90), collapsed across post, retention, and transfer tests. There was no difference in cognitive load and anxiety between groups. In open-ended responses, participants who received concurrent feedback more often expressed satisfaction with their learning experience compared to those who received terminal feedback. DISCUSSION AND CONCLUSIONS: Concurrent may be superior to terminal feedback when teaching novice learners complex procedures and has the potential to improve learning if incorporated into SBME and clinical teaching. Further research is needed to elucidate underlying cognitive processes to explain this finding.

Portable nanopore-sequencing technology: Trends in development and applications.

Sequencing technology is the most commonly used technology in molecular biology research and an essential pillar for the development and applications of molecular biology. Since 1977, when the first generation of sequencing technology opened the door to interpreting the genetic code, sequencing technology has been developing for three generations. It has applications in all aspects of life and scientific research, such as disease diagnosis, drug target discovery, pathological research, species protection, and SARS-CoV-2 detection. However, the first- and second-generation sequencing technology relied on fluorescence detection systems and DNA polymerization enzyme systems, which increased the cost of sequencing technology and limited its scope of applications. The third-generation sequencing technology performs PCR-free and single-molecule sequencing, but it still depends on the fluorescence detection device. To break through these limitations, researchers have made arduous efforts to develop a new advanced portable sequencing technology represented by nanopore sequencing. Nanopore technology has the advantages of small size and convenient portability, independent of biochemical reagents, and direct reading using physical methods. This paper reviews the research and development process of nanopore sequencing technology (NST) from the laboratory to commercially viable tools; discusses the main types of nanopore sequencing technologies and their various applications in solving a wide range of real-world problems. In addition, the paper collates the analysis tools necessary for performing different processing tasks in nanopore sequencing. Finally, we highlight the challenges of NST and its future research and application directions.

The development of a paper-based distance sensor for the detection of Pb2+ assisted with the target-responsive DNA hydrogel.

Due to the serious risks of lead pollution to human health, it plays a great role in constructing a simple, inexpensive, portable, and user-friendly strategy for Pb2+ detection in environmental samples. Herein, a paper-based distance sensor is developed to detect Pb2+ assisted with the target-responsive DNA hydrogel. Pb2+ can activate DNAzyme to cleave its substrate strand, which results in the hydrolysis of the DNA hydrogel. The released water molecules trapped in the hydrogel can flow along the patterned pH paper due to the capillary force. The water flow distance (WFD) is significantly influenced by the amount of water released from the collapsed DNA hydrogel triggered by the addition of various Pb2+ concentrations. In this way, Pb2+ can be quantitatively detected without using specialized instruments and labeled molecules, and the limit of detection (LOD) of Pb2+ is 3.0 nM. Additionally, the Pb2+ sensor works well in lake water and tap water. Overall, this simple, inexpensive, portable, and user-friendly method is very promising for quantitative and in-field detection of Pb2+ with excellent sensitivity and selectivity.

OOCDB: A Comprehensive, Systematic, and Real-time Organs-on-a-chip Database.

Organs-on-a-chip is a microfluidic microphysiological system that uses microfluidic technology to analyze the structure and function of living human cells at the tissue and organ levels in vitro. Organs-on-a-chip technology, as opposed to traditional two-dimensional cell culture and animal models, can more closely simulate pathologic and toxicologic interactions between different organs or tissues and reflect the collaborative response of multiple organs to drugs. Despite the fact that many organs-on-a-chip-related data have been published, none of the current databases have all of the following functions: searching, downloading, as well as analyzing data and results from the literature on organs-on-a-chip. Therefore, we created an organs-on-a-chip database (OOCDB) as a platform to integrate information about organs-on-a-chip from various sources, including literature, patents, raw data from microarray and transcriptome sequencing, several open-access datasets of organs-on-a-chip and organoids, and data generated in our laboratory. OOCDB contains dozens of sub-databases and analysis tools, and each sub-database contains various data associated with organs-on-a-chip, with the goal of providing researchers with a comprehensive, systematic, and convenient search engine. Furthermore, it offers a variety of other functions, such as mathematical modeling, three-dimensional modeling, and citation mapping, to meet the needs of researchers and promote the development of organs-on-a-chip. The OOCDB is available at http://www.organchip.cn.

Messenger RNA in lipid nanoparticles rescues HEK 293 cells from lipid-induced mitochondrial dysfunction as studied by real time pulse chase NMR, RTPC-NMR, spectroscopy.

Analytical tools to study cell physiology are critical for optimizing drug-host interactions. Real time pulse chase NMR spectroscopy, RTPC-NMR, was introduced to monitor the kinetics of metabolite production in HEK 293T cells treated with COVID-19 vaccine-like lipid nanoparticles, LNPs, with and without mRNA. Kinetic flux parameters were resolved for the incorporation of isotopic label into metabolites and clearance of labeled metabolites from the cells. Changes in the characteristic times for alanine production implicated mitochondrial dysfunction as a consequence of treating the cells with lipid nanoparticles, LNPs. Mitochondrial dysfunction was largely abated by inclusion of mRNA in the LNPs, the presence of which increased the size and uniformity of the LNPs. The methodology is applicable to all cultured cells.

Nedosiran, a Candidate siRNA Drug for the Treatment of Primary Hyperoxaluria: Design, Development, and Clinical Studies.

Due to the lack of treatment options for the genetic disease primary hyperoxaluria (PH), including three subtypes PH1, PH2, and PH3, caused by accumulation of oxalate forming kidney stones, there is an urgent need for the development of a drug therapy aside from siRNA drug lumasiran for patients with PH1. After the recent success of drug therapies based on small interfering RNA (siRNA), nedosiran is currently being developed for the treatment of three types of PH as a siRNA-based modality. Through specific inhibition of lactate dehydrogenase enzyme, the key enzyme in biosynthesis of oxalate in liver, phase 1, 2, and 3 clinical trials of nedosiran have achieved the desired primary end point of reduction of urinary oxalate levels in patients with PH1. More PH2 and PH3 patients need to be tested for efficacy. It has also produced a favorable secondary end point on safety and toxicity in PH patients. In addition to common injection site reactions that resolved spontaneously, no severe nedosiran treatment-associated adverse events were reported. Based on the positive results in the clinical studies, nedosiran is a candidate siRNA drug to treat PH patients.

Integrating bioinformatic strategies in spatial life science research.

As space exploration programs progress, manned space missions will become more frequent and farther away from Earth, putting a greater emphasis on astronaut health. Through the collaborative efforts of researchers from various countries, the effect of the space environment factors on living systems is gradually being uncovered. Although a large number of interconnected research findings have been produced, their connection seems to be confused, and many unknown effects are left to be discovered. Simultaneously, several valuable data resources have emerged, accumulating data measuring biological effects in space that can be used to further investigate the unknown biological adaptations. In this review, the previous findings and their correlations are sorted out to facilitate the understanding of biological adaptations to space and the design of countermeasures. The biological effect measurement methods/data types are also organized to provide references for experimental design and data analysis. To aid deeper exploration of the data resources, we summarized common characteristics of the data generated from longitudinal experiments, outlined challenges or caveats in data analysis and provided corresponding solutions by recommending bioinformatics strategies and available models/tools.

Chronic pain in children and adolescents in Manitoba: A retrospective chart review to inform the development of a provincial service for pediatric chronic pain.

Background: In the absence of an interdisciplinary service for pediatric chronic pain in Manitoba, pain management has been offered through a single provider outpatient setting with consultative services from physiotherapy, occupational therapy, and psychiatry since October 2015. Aims: The aim of this study was to characterize the patient population of this clinic to understand needs and inform future service development for pediatric chronic pain. Methods: Demographics and disease characteristics of all patients seen in this clinic between October 1, 2015, and February 28, 2019, were analyzed retrospectively from electronic medical records. Results: A total of 157 patients, mean age 13.1 (sd ±3.0) years, 75.2% female, with a median duration of pain of 20.5 (interquartile range [IQR] = 10.0-45.8) months at their first visit were included in the study. At baseline, 74.0% of patients experienced insomnia, 76.6% fatigue, 86.5% symptoms of anxiety, and 58.69% symptoms of depression; 80.1% showed withdrawal from physical activity, 67.1% missed school, and 10.2% reported opioid usage. Throughout their care in clinic, 83.4% of patients received physiotherapy, 17.8% occupational therapy, 49.7% mental health support, and 51.6% care from multiple services. The clinic experienced a significant increase in median referrals from 1.0 to 5.0 (IQR = 2.0-9.0) per month and wait time from 35.0 to 97.0 (IQR = 88.0-251.0) days during the observation period. Conclusions: Developing an interdisciplinary service for pediatric chronic pain will provide an opportunity to improve access, coordination, and comprehensiveness of care and to employ culturally sensitive services to improve care for children and youth living with chronic pain in Manitoba and possibly other jurisdictions with similar demographics and needs.

Contexte: En l'absence d'un service interdisciplinaire pour la douleur chronique pédiatrique au Manitoba, la prise en charge de la douleur est proposée par un seul prestataire ambulatoire qui offre des services consultatifs de physiothérapie, d'ergothérapie et de psychiatrie depuis octobre 2015.Buts: Le but de cette étude était de caractériser la population de patients de cette clinique pour comprendre les besoins et éclairer le développement futur de services pour la douleur chronique pédiatrique.Méthodes: Les données démographiques et les caractéristiques de la maladie de tous les patients vus dans cette clinique entre le 1er octobre 2015 et le 28 février 2019 ont été analysées rétrospectivement à partir des dossiers médicaux électroniques.Résultats: Un total de 157 patients, dont l'âge moyen était de 13,1 ans (é.-t. ±3,0) ans, 75,2 % de femmes, avec une durée de la douleur médiane de 20,5 mois (écart interquartile [IQR] = 10,0-45,8) à leur première visite étaient inclus dans l'étude. À l'inclusion, 74,0 % des patients présentaient de l'insomnie, 76,6 % de la fatigue, 86,5 % des symptômes d'anxiété et 58,69 % des symptômes de dépression ; 80,1 % montraient un retrait de l'activité physique, 67,1 % avaient manqué l'école et 10,2 % ont déclaré avoir consommé des opioïdes. Tout au long de leur traitement en clinique, 83,4 % des patients ont reçu de la physiothérapie, 17,8 % de l'ergothérapie, 49,7 % un traitement de soutien à la santé et 51,6 % des soins dispensés par de multiples services. La clinique a connu une augmentation significative des références médianes de 1,0 à 5,0 (IQR = 2,0-9,0) par mois et du temps d'attente de 35,0 à 97,0 (IQR = 88,0-251,0) pendant la période d'observation.Conclusions : La mise sur pied d'un service interdisciplinaire pour la douleur chronique pédiatrique permettra d'améliorer l'accès, la coordination et l'exhaustivité des soins de même que le recours à des services adaptés à la culture pour améliorer les soins aux enfants et aux jeunes souffrant de douleur chronique au Manitoba et possiblement dans d'autres provinces et territoires ayant des caractéristiques démographiques et des besoins semblables.

Microfluidics delivery of DARPP-32 into HeLa cells maintains viability for in-cell NMR spectroscopy.

High-resolution structural studies of proteins and protein complexes in a native eukaryotic environment present a challenge to structural biology. In-cell NMR can characterize atomic resolution structures but requires high concentrations of labeled proteins in intact cells. Most exogenous delivery techniques are limited to specific cell types or are too destructive to preserve cellular physiology. The feasibility of microfluidics transfection or volume exchange for convective transfer, VECT, as a means to deliver labeled target proteins to HeLa cells for in-cell NMR experiments is demonstrated. VECT delivery does not require optimization or impede cell viability; cells are immediately available for long-term eukaryotic in-cell NMR experiments. In-cell NMR-based drug screening using VECT was demonstrated by collecting spectra of the sensor molecule DARPP32, in response to exogenous administration of Forskolin.

The Use of Molecular Dynamics Simulation Method to Quantitatively Evaluate the Affinity between HBV Antigen T Cell Epitope Peptides and HLA-A Molecules.

Chronic hepatitis B virus (HBV), a potentially life-threatening liver disease, makes people vulnerable to serious diseases such as cancer. T lymphocytes play a crucial role in clearing HBV virus, while the pathway depends on the strong binding of T cell epitope peptide and HLA. However, the experimental identification of HLA-restricted HBV antigenic peptides is extremely time-consuming. In this study, we provide a novel prediction strategy based on structure to assess the affinity between the HBV antigenic peptide and HLA molecule. We used residue scanning, peptide docking and molecular dynamics methods to obtain the molecular docking model of HBV peptide and HLA, and then adopted the MM-GBSA method to calculate the binding affinity of the HBV peptide-HLA complex. Overall, we collected 59 structures of HLA-A from Protein Data Bank, and finally obtained 352 numerical affinity results to figure out the optimal bind choice between the HLA-A molecules and 45 HBV T cell epitope peptides. The results were highly consistent with the qualitative affinity level determined by the competitive peptide binding assay, which confirmed that our affinity prediction process based on an HLA structure is accurate and also proved that the homologous modeling strategy for HLA-A molecules in this study was reliable. Hence, our work highlights an effective way by which to predict and screen for HLA-peptide binding that would improve the treatment of HBV infection.

The Brain Research Hotspot Database (BRHD): A Panoramic Database of the Latest Hotspots in Brain Research.

Brain science, an emerging, dynamic, multidisciplinary basic research field, is generating numerous valuable data. However, there are still several obstacles for the utilization of these data, such as data fragmentation, heterogeneity, availability, and annotation divergence. Thus, to overcome these obstacles and construct an online community, we developed a panoramic database named Brain Research Hotspot Database (BRHD). As of 30 January 2022, the database had been integrated with standardized vocabularies from various resources, including 423,681 papers, 46,344 patents, 9585 transcriptomic datasets, 261 cell markers, as well as with information regarding brain initiatives that were officially launched and well-known scholars in brain research. Based on the keywords entered by users and the search options they set, data can be accessed and retrieved through exact and fuzzy search scenarios. In addition, for brain diseases, we developed three featured functions based on deep data mining: (1) a brain disease-genome network, which collects the associations between common brain diseases, genes, and mutations reported in the literature; (2) brain and gut microbiome associations, based on the literature related to this topic, with added annotations for reference; (3) 3D brain structure, containing a high-precision brain anatomy model with visual links to quickly connect to an organ-on-a-chip database. In short, the BRHD integrates data from a variety of brain science resources to provide a friendly user interface and freely accessible viewing and downloading environment. Furthermore, the original functions developed based on these data provide references and insights for brain research.

Molecular and Physiological Aspects of SARS-CoV-2 Infection in Women and Pregnancy.

Whilst scientific knowledge about SARS-CoV-2 and COVID-19 is rapidly increasing, much of the effects on pregnant women is still unknown. To accommodate pregnancy, the human endometrium must undergo a physiological transformation called decidualization. These changes encompass the remodeling of endometrial immune cells leading to immunotolerance of the semi-allogenic conceptus as well as defense against pathogens. The angiotensin converting enzyme 2 (ACE2) plays an important regulatory role in the renin-angiotensin-system (RAS) and has been shown to be protective against comorbidities known to worsen COVID-19 outcomes. Furthermore, ACE2 is also crucial for decidualization and thus for early gestation. An astounding gender difference has been found in COVID-19 with male patients presenting with more severe cases and higher mortality rates. This could be attributed to differences in sex chromosomes, hormone levels and behavior patterns. Despite profound changes in the female body during pregnancy, expectant mothers do not face worse outcomes compared with non-pregnant women. Whereas mother-to-child transmission through respiratory droplets during labor or in the postnatal period is known, another question of in utero transmission remains unanswered. Evidence of placental SARS-CoV-2 infection and expression of viral entry receptors at the maternal-fetal interface suggests the possibility of in utero transmission. SARS-CoV-2 can cause further harm through placental damage, maternal systemic inflammation, and hindered access to health care during the pandemic. More research on the effects of COVID-19 during early pregnancy as well as vaccination and treatment options for gravid patients is urgently needed.