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Background: Pregnant women and recent mothers face a higher risk of severe illness from Coronavirus disease 2019 due to physiological and immunological shifts during pregnancy, rendering them more vulnerable to inflammatory lung conditions. This susceptibility poses serious threats to both maternal and newborn health. Therefore, it is imperative for pregnant women to be fully informed about Coronavirus disease 2019 and to implement preventive measures. This study aimed to evaluate the collective knowledge, attitudes, and practices related to Coronavirus disease 2019 among pregnant women across Africa. Methods: The researchers collected studies from multiple databases, including Pub Med/MEDLINE, EMBASE, CINAHL, Science Direct, Scopus, Web of Science, Cochran library, and Google Scholar. A combination of search terms and Boolean operators were utilized to gather relevant literature. Each study underwent quality assessment by five authors independently, using the modified Newcastle Ottawa Scale tailored for cross-sectional research. Statistical analysis was conducted using STATA™ Version 11 software, and meta-analysis was performed using the random-effects (Der Simonian and Laird) method. Heterogeneity was evaluated using I-squared (I2) statistics, and a one-out sensitivity analysis was carried out. Results: This systematic review and meta-analysis included 19 articles, involving a total of 7852 participants. It revealed that the combined estimated prevalence of good knowledge about Coronavirus disease 2019, positive attitudes, and good practices among pregnant women was found to be 61.8 % (95 % CI: 53.0%–70.65 %; I2 = 98.7 %), 51.7 % (95 % CI: 30.34%–73.6 %; I2 = 99.3 %), and 52.31 % (95 % CI: 41.48%–63.15 %; I2 = 98.8 %) respectively. Conclusion: This study emphasizes a significant concern: pregnant women exhibit a notable lack of knowledge, positive attitudes, and preventive practices regarding Coronavirus disease 2019. Considering their heightened vulnerability, urgent action is required to improve their understanding, attitudes, and behaviours related to the virus. Healthcare professionals should take proactive measures to educate pregnant women, addressing this crucial gap through various strategies.

Although metastatic disease is the leading cause of cancer-related deaths, its tumor microenvironment remains poorly characterized due to technical and biospecimen limitations. In this study, we assembled a multi-modal spatial and cellular map of 67 tumor biopsies from 60 patients with metastatic breast cancer across diverse clinicopathological features and nine anatomic sites with detailed clinical annotations. We combined single-cell or single-nucleus RNA sequencing for all biopsies with a panel of four spatial expression assays (Slide-seq, MERFISH, ExSeq and CODEX) and H&E staining of consecutive serial sections from up to 15 of these biopsies. We leveraged the coupled measurements to provide reference points for the utility and integration of different experimental techniques and used them to assess variability in cell type composition and expression as well as emerging spatial expression characteristics across clinicopathological and methodological diversity. Finally, we assessed spatial expression and co-localization features of macrophage populations, characterized three distinct spatial phenotypes of epithelial-to-mesenchymal transition and identified expression programs associated with local T cell infiltration versus exclusion, showcasing the potential of clinically relevant discovery in such maps., Competing Interests: Competing interests A. Regev, J.K. and D.L.A. are co-inventors on patent application number 17/156,392, filed by the Broad Institute, for inventions relating to work in this manuscript. A. Regev is a co-founder and equity holder of Celsius Therapeutics, an equity holder in Immunitas and, until 31 July 2020, a scientific advisory board (SAB) member of Thermo Fisher Scientific, Syros Pharmaceuticals, Neogene Therapeutics and Asimov. From 1 August 2020, A. Regev is an employee of Genentech and has equity in Roche. A. Rotem is an employee of AstraZeneca since September 2020 and has equity in AstraZeneca. E.S.B. co-founded a company that is exploring commercial applications of expansion microscopy. G.N. holds equity in and consults for Akoya Biosciences. J.G.T.Z. owns stocks in the biotechnology exchange-traded funds CNCR, IDNA, IBB and XBI, owns stock in Novo Nordisk and owns stock in Adaptive Biotechnologies, 2seventy bio and bluebird bio. J.J-V. is a contractor at Genentech since 2021. M.S. is a contractor at Genentech since November 2020. O.R.-R. is a co-inventor on patent applications filed by the Broad Institute for inventions related to single-cell genomics. She has given numerous lectures on the subject of single-cell genomics to a wide variety of audiences and, in some cases, has received remuneration to cover time and costs. O.R.-R. is an employee of Genentech since 19 October 2020 and has equity in Roche. S.J.R. is a member of the SAB of Immunitas Therapeutics and receives research funding from Bristol Myers Squibb and Kite/Gilead. X.Z. is a co-founder of and consultant for Vizgen. The other authors declare no competing interests., (© 2024. The Author(s).)

Spatio-molecular data and microscopy images provide complementary information, essential to study structure and function of spatially organised multicellular systems such as healthy or diseased tissues. However, aligning these two types of data can be challenging due to distortions and differences in resolution, orientation, and position. Manual registration is tedious but may be necessary for challenging samples as well as for the generation of ground-truth data sets that enable benchmarking of existing and emerging automated alignment tools. To make the process of manual registration more convenient, efficient, and integrated, we created BoReMi, a python-based, Jupyter-integrated, visual tool that offers all the relevant functionalities for aligning and registering spatio-molecular data and associated microscopy images. We showcase BoReMi's utility using publicly available data and images and make BoReMi as well as an interactive demo available on GitHub., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Ishar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

UNC93B1 is critical for trafficking and function of nucleic acid-sensing Toll-like receptors (TLRs) TLR3, TLR7, TLR8, and TLR9, which are essential for antiviral immunity. Overactive TLR7 signaling induced by recognition of self-nucleic acids has been implicated in systemic lupus erythematosus (SLE). Here, we report UNC93B1 variants (E92G and R336L) in four patients with early-onset SLE. Patient cells or mouse macrophages carrying the UNC93B1 variants produced high amounts of TNF-α and IL-6 and upon stimulation with TLR7/TLR8 agonist, but not with TLR3 or TLR9 agonists. E92G causes UNC93B1 protein instability and reduced interaction with TLR7, leading to selective TLR7 hyperactivation with constitutive type I IFN signaling. Thus, UNC93B1 regulates TLR subtype-specific mechanisms of ligand recognition. Our findings establish a pivotal role for UNC93B1 in TLR7-dependent autoimmunity and highlight the therapeutic potential of targeting TLR7 in SLE.

Transferring annotations of single-cell-, spatial- and multi-omics data is often challenging owing both to technical limitations, such as low spatial resolution or high dropout fraction, and to biological variations, such as continuous spectra of cell states. Based on the concept that these data are often best described as continuous mixtures of cells or molecules, we present a computational framework for the transfer of annotations to cells and their combinations (TACCO), which consists of an optimal transport model extended with different wrappers to annotate a wide variety of data. We apply TACCO to identify cell types and states, decipher spatiomolecular tissue structure at the cell and molecular level and resolve differentiation trajectories using synthetic and biological datasets. While matching or exceeding the accuracy of specialized tools for the individual tasks, TACCO reduces the computational requirements by up to an order of magnitude and scales to larger datasets (for example, considering the runtime of annotation transfer for 1 M simulated dropout observations)., (© 2023. The Author(s).)

Most cell types in multicellular organisms can perform multiple functions. However, not all functions can be optimally performed simultaneously by the same cells. Functions incompatible at the level of individual cells can be performed at the cell population level, where cells divide labor and specialize in different functions. Division of labor can arise due to instruction by tissue environment or through self-organization. Here, we develop a computational framework to investigate the contribution of these mechanisms to division of labor within a cell-type population. By optimizing collective cellular task performance under trade-offs, we find that distinguishable expression patterns can emerge from cell-cell interactions versus instructive signals. We propose a method to construct ligand-receptor networks between specialist cells and use it to infer division-of-labor mechanisms from single-cell RNA sequencing (RNA-seq) and spatial transcriptomics data of stromal, epithelial, and immune cells. Our framework can be used to characterize the complexity of cell interactions within tissues., Competing Interests: Declaration of interests N.K. has served as a consultant to Boehringer Ingelheim, Third Rock, Pliant, Samumed, NuMedii, Theravance, LifeMax, Three Lake Partners, Optikira, Astra Zeneca, RohBar, Veracyte, Augmanity, CSL Behring, Galapagos, Gilead, Arrowhead, and Thyron over the last 3 years and reports equity in Pliant and Thyron; a grant from Veracyte, Boehringer Ingelheim, BMS; and non-financial support from MiRagen and Astra Zeneca. N.K. has intellectual property (IP) on novel biomarkers and therapeutics in idiopathic pulmonary fibrosis (IPF) licensed to Biotech. E.Z.M. is a consultant for Curio Biosciences, Inc. A.R. is a co-founder and equity holder of Celsius Therapeutics, an equity holder in Immunitas, and was an SAB member of Thermo Fisher Scientific, Syros Pharmaceuticals, Neogene Therapeutics, and Asimov until July 31, 2020. Beginning August 1, 2020, A.R. has been an employee of Genentech and has equity in Roche., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Evidence suggests that psychopathic individuals display difficulties to adapt their behavior in accordance with the demands of the environment and show altered performance monitoring. Studies investigating the error-related negativity (ERN) and the error-positivity (Pe) as electrophysiological markers of error monitoring reported contradictory results for this population. To explain these discrepancies, we hypothesized that psychopathy dimensions influence electrophysiological outcomes. We predicted that individuals with impulsive-antisocial features would display abnormal ERN compared to individuals with interpersonal-affective features. A systematic review and meta-analysis of studies investigating ERN and Pe components were conducted. A factorial analysis was undertaken to investigate the role of psychopathy dimensions on ERN and Pe. Compared to controls, psychopathic individuals (n = 940) showed a reduced ERN and Pe amplitude. The factorial analysis indicates a dissociation regarding the construct of psychopathy. The models reported that psychopathic individuals related specifically to the interpersonal-affective dimension displayed normal ERN component and efficient error-monitoring, while psychopathic individuals with a marked impulsive-antisocial dimension display a decreased ERN component and altered performance monitoring., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Introduction: "Headache attributed to ingestion or inhalation of a cold stimulus" (HICS) is one of the most common primary headache disorders. Little is known about the pathophysiology of HICS and other headache disorders. The aim of this study was to analyze mean flow velocity (MFV) and cerebrovascular resistance (RI) in both middle cerebral arteries (MCA) upon ingestion of ice water. Methods: The MFV and RI in both MCAs was continuously measured by transcranial sonography. HICS was induced by drinking 200 ml of ice water. Results: In all volunteers, the ingestion of ice water led to a decrease in RI, which was accompanied by an increase in MFV. In volunteers with induced HICS, MFV were significantly higher compared to volunteers that did not experience HICS. In volunteers with HICS, MFV increased even more significantly when lacrimation occurred compared to volunteers in which it did not. In volunteers without induced HICS, MFV was higher in those volunteers with a positive history of HICS than in those with a negative HICS history. Conclusion: This study revealed a raised MFV upon ingestion of ice water. Volunteers with a provoked case of HICS had a higher MFV than volunteers without HICS. The increase in MFV was even higher when the headache was accompanied by lacrimation. This may indicate an involvement of the trigeminal-parasympathetic vasodilator reflex.

Background and objectives Abdominal pain is a well-known headache-associated symptom in migraine in children, but rarely in adults. We describe a case of a female patient with typical accompanying migraine symptoms without headache but with thoracic pain. Case report The present case of a 41 year-old-woman shows recurrent attacks with thoracic pain and typical accompanying migraine symptoms but without headache. Symptoms resolved upon treatment with triptans and beta blockers. Discussion This case might be interpreted as "thoracic migraine", and extends the spectrum of migraine forms. Conclusion In patients with facial pain secondary to lung cancer, an anatomical connection between the vagal nerve, the nucleus tractus solitarii, the jugular ganglion and trigeminal system has been suggested. The present case might be an analogy to this explanation.

Background There are various studies on experimentally provoked 'ice-cream headache' or 'headache attributed to ingestion or inhalation of a cold stimulus' (HICS) using different provocation protocols. The aim of this study was to compare two provocation protocols. Methods Ice cubes pressed to the palate and fast ingestion of ice water were used to provoke HICS and clinical features were compared. Results The ice-water stimulus provoked HICS significantly more often than the ice-cube stimulus (9/77 vs. 39/77). Ice-water-provoked HICS had a significantly shorter latency (median 15 s, range 4-97 s vs. median 68 s, range 27-96 s). There was no difference in pain localisation. Character after ice-cube stimulation was predominantly described as pressing and after ice-water stimulation as stabbing. A second HICS followed in 10/39 (26%) of the headaches provoked by ice water. Lacrimation occurred significantly more often in volunteers with than in those without HICS. Discussion HICS provoked by ice water was more frequent, had a shorter latency, different pain character and higher pain intensity than HICS provoked by ice cubes. The finding of two subsequent HICS attacks in the same volunteers supports the notion that two types of HICS exist. Lacrimation during HICS indicates involvement of the trigeminal-autonomic reflex.

Around the clinical situation of a patient presenting an acute and transient psychotic disorder, the importance of team work becomes evident. Nursing care is present in all phases of the patient's care, from admission to discharge, including in the isolation room and the electroconvulsive therapy sessions. Presence, support, reassurance as well as the bond with the family are cornerstones of the nursing care.

Schizophrenia is a complex brain disorder associated with numerous etiological factors and pathophysiological pathways leading to multiple clinical outcomes. Compelling evidence suggests that deviations in neurodevelopmental processes are a major risk factor of schizophrenia. The identification of patients with high neurodevelopmental deviance is an important issue as it could help to identify homogeneous subgroups of patients with similar pathophysiological pathways, a key step to decipher the etiology of this complex condition. Several clinical arguments suggest that schizophrenia patients with Neurological Soft Signs (NSS)--ie, observable defects in motor coordination, motor integration, and sensory integration--would have high neurodevelopmental deviance. Based on the analysis of magnetic resonance imaging of 44 first-episode psychosis patients, we compared the cortex morphology, a marker of brain development, in patients with NSS vs patients with nonsignificant NSS. The cortex morphology was automatically assessed from three-dimensional global sulcal index (g-SI, the ratio between total sulcal area and outer cortex area) and regional sulcal indexes (r-SI, the ratio between the area of pooled labeled sulci and the total outer cortex area). Patients with NSS were found to have a lower g-SI in both hemispheres and a lower r-SI in left dorsolateral prefrontal and right lateral occipital cortices. Exploratory analyses revealed correlations between NSS dimensions and r-SI in distinct cortical areas, including dorsolateral and medial prefrontal cortices, lateral temporal, occipital, superior parietal, and medial parieto-occipital cortices. These findings provide evidence of distinct neurodevelopmental pathways in patients with NSS as compared with patients with nonsignificant NSS.

The role of the cerebellum in schizophrenia has been highlighted by Andreasen's hypothesis of "cognitive dysmetria," which suggests a general dyscoordination of sensorimotor and mental processes. Studies in schizophrenic patients have brought observations supporting a cerebellar impairment: high prevalence of neurological soft signs, dyscoordination, abnormal posture and propioception, impaired eyeblink conditioning, impaired adaptation of the vestibular-ocular reflex or procedural learning tests, and lastly functional neuroimaging studies correlating poor cognitive performances with abnormal cerebellar activations. Despite those compelling evidences, there has been, to our knowledge, no recent review on the clinical, cognitive, and functional literature supporting the role of the cerebellum in schizophrenia. We conducted a Medline research focusing on cerebellar dysfunctions in schizophrenia. Emphasis was given to recent literature (after 1998). The picture arising from this review is heterogeneous. While in some domains, the role of the cerebellum seems clearly defined (ie, neurological soft signs, posture, or equilibrium), in other domains, the cerebellar contribution to schizophrenia seems limited or indirect (ie, cognition) if present at all (ie, affectivity). Functional models of the cerebellum are proposed as a background for interpreting these results.

Sadness is considered by numerous authors to be a core symptom of depression. Currently, many arguments exist for its particular importance in depressed patients. Sadness makes up part of the various definitions of the depressive syndrome, even if its presence is not required for diagnosis. Furthermore, it is closely linked to the other depressive symptoms, and has prognostic value, in particular for remission. The recognition and measurement of sadness seem important for therapeutic evaluation, in clinical studies, and in depressed patients at an individual level. This paper presents a selective review of some of the various aspects of sadness as an integral part of depression, and an examination of its links with a disease which is a major health concern.