Placental homogeneity: Characterizing transcriptional variation among equine chorioallantoic locations.

The proper function of the placenta is essential for the health and growth of the fetus and the mother. The placenta relies on dynamic gene expression for its correct and timely development and function. Although numerous studies have identified genes vital for placental functions, equine placental molecular research has primarily focused on single placental locations, in sharp contrast with the broader approach in human studies. Here, we hypothesized that the molecular differences across different regions of the equine placenta are negligible because of its diffuse placental type with a macroscopic homogenous distribution of villi across the placental surface. We compared the transcriptome and stereological findings of the body, pregnant horn, and non-pregnant horn within the equine chorioallantois. Our transcriptomic analysis indicates that the variation between regions of the placenta within individuals is less than the variation observed between individuals. A low number of differentially expressed genes (DEGs) (n = 8) was identified when comparing pregnant and non-pregnant horns within the same placenta, suggesting a remarkable molecular uniformity. A higher number of DEGs was identified when comparing each horn to the body (193 DEGs comparing pregnant horn with body and 207 DEGs comparing non-pregnant horn with body). Genes with a higher expression in the body were associated with processes such as extracellular matrix synthesis and remodeling, which is relevant for placental maturation and placenta-endometrial separation at term and implies asynchrony of these processes across locations. The stereological analysis showed no differences in microcotyledonary density, and width between the locations. However, we observed a greater chorioallantoic thickness in the body and pregnant horn compared to the non-pregnant horn. Overall, our findings reveal a uniform transcriptomic profile across the placental horns, alongside a more distinct gene expression pattern between the uterine body and horns. These regional differences in gene expression suggest a different pace in the placental maturation and detachment among the placental locations.

Modelling the demographic history of human North African genomes points to a recent soft split divergence between populations.

BACKGROUND: North African human populations present a complex demographic scenario due to the presence of an autochthonous genetic component and population substructure, plus extensive gene flow from the Middle East, Europe, and sub-Saharan Africa. RESULTS: We conducted a comprehensive analysis of 364 genomes to construct detailed demographic models for the North African region, encompassing its two primary ethnic groups, the Arab and Amazigh populations. This was achieved through an Approximate Bayesian Computation with Deep Learning (ABC-DL) framework and a novel algorithm called Genetic Programming for Population Genetics (GP4PG). This innovative approach enabled us to effectively model intricate demographic scenarios, utilizing a subset of 16 whole genomes at > 30X coverage. The demographic model suggested by GP4PG exhibited a closer alignment with the observed data compared to the ABC-DL model. Both point to a back-to-Africa origin of North African individuals and a close relationship with Eurasian populations. Results support different origins for Amazigh and Arab populations, with Amazigh populations originating back in Epipaleolithic times, while GP4PG supports Arabization as the main source of Middle Eastern ancestry. The GP4PG model includes population substructure in surrounding populations (sub-Saharan Africa and Middle East) with continuous decaying gene flow after population split. Contrary to ABC-DL, the best GP4PG model does not require pulses of admixture from surrounding populations into North Africa pointing to soft splits as drivers of divergence in North Africa. CONCLUSIONS: We have built a demographic model on North Africa that points to a back-to-Africa expansion and a differential origin between Arab and Amazigh populations.

Towards a survival risk prediction model for metastatic NSCLC patients on durvalumab using whole-lung CT radiomics.

Background: Existing criteria for predicting patient survival from immunotherapy are primarily centered on the PD-L1 status of patients. We tested the hypothesis that noninvasively captured baseline whole-lung radiomics features from CT images, baseline clinical parameters, combined with advanced machine learning approaches, can help to build models of patient survival that compare favorably with PD-L1 status for predicting 'less-than-median-survival risk' in the metastatic NSCLC setting for patients on durvalumab. With a total of 1062 patients, inclusive of model training and validation, this is the largest such study yet. Methods: To ensure a sufficient sample size, we combined data from treatment arms of three metastatic NSCLC studies. About 80% of this data was used for model training, and the remainder was held-out for validation. We first trained two independent models; Model-C trained to predict survival using clinical data; and Model-R trained to predict survival using whole-lung radiomics features. Finally, we created Model-C+R which leveraged both clinical and radiomics features. Results: The classification accuracy (for median survival) of Model-C, Model-R, and Model-C+R was 63%, 55%, and 68% respectively. Sensitivity analysis of survival prediction across different training and validation cohorts showed concordance indices ([95 percentile]) of 0.64 ([0.63, 0.65]), 0.60 ([0.59, 0.60]), and 0.66 ([0.65,0.67]), respectively. We additionally evaluated generalization of these models on a comparable cohort of 144 patients from an independent study, demonstrating classification accuracies of 65%, 62%, and 72% respectively. Conclusion: Machine Learning models combining baseline whole-lung CT radiomic and clinical features may be a useful tool for patient selection in immunotherapy. Further validation through prospective studies is needed.

Childhood-Onset Non-Infectious Uveitis in the "Biologic Era". Results From Spanish Multicenter Multidisciplinary Real-World Clinical Settings.

OBJECTIVE: To characterize and describe clinical experience with childhood-onset non-infectious uveitis. STUDY DESIGN: A multicenter retrospective multidisciplinary national web-based registry of 507 patients from 21 hospitals was analyzed. Cases were grouped as immune disease-associated (IMDu), idiopathic (IDIu) or ophthalmologically distinct. Characteristics of juvenile idiopathic arthritis-associated (non-HLA-B27-related) uveitis (JIAu), IDIu, and pars planitis (PP) were compared. RESULTS: IMDu (62.3%) and JIAu (51.9%) predominated in young females; and IDIu (22.7%) and PP (13.6%) in older children, without sex imbalance. Ocular complications occurred in 45.3% of cases (posterior synechiae [28%], cataracts [16%], band keratopathy [14%], ocular hypertension [11%] and cystoid macular edema [10%]) and were associated with synthetic (86%) and biologic (65%) disease-modifying antirheumatic drug (DMARD) use. Subgroups were significantly associated (p < 0.05) with different characteristics. JIAu was typically anterior (98%), insidious (75%), in ANA-positive (69%), young females (82%) with fewer complications (31%), better visual outcomes, and later use of uveitis-effective biologics. In contrast, IDIu was characteristically anterior (87%) or panuveitic (12.1%), with acute onset (60%) and more complications at onset (59%: synechiae [31%] and cataracts [9.6%]) and less DMARD use, while PP is intermediate, and was mostly bilateral (72.5%), persistent (86.5%) and chronic (86.8%), with more complications (70%; mainly posterior segment and cataracts at last visit), impaired visual acuity at onset, and greater systemic (81.2%), subtenon (29.1%) and intravitreal (10.1%) steroid use. CONCLUSION: Prognosis of childhood uveitis has improved in the "biologic era," particularly in JIAu. Early referral and DMARD therapy may reduce steroid use and improve outcomes, especially in PP and IDIu.

Impact of an anemia diagnostic management team on follow-up test ordering by primary care providers.

BACKGROUND: Anemia is a complex condition with diverse causes and poses diagnostic challenges amid the expanding landscape of laboratory testing. Implementation of an anemia diagnostic management team (DMT) can aid health care providers in navigating this complexity. METHODS: This quasi-experimental study assessed the impact of an anemia DMT on laboratory test ordering by primary care providers for anemic patients. This study included adult patients (≥18 years) with anemia (hemoglobin <12.0 g/dL for nonpregnant women, hemoglobin <13.0 g/dL for men) presenting to a family medicine clinic. Cases reviewed by the DMT (n = 100) were compared with a control group (n = 95). RESULTS: The DMT recommended additional testing for 76 patients. Significantly more patients in the DMT group underwent follow-up tests compared with controls (59% vs 34%; P < .001). Moreover, the DMT group underwent a higher mean number of tests per patient (1.70 ± 2.2 vs 0.95 ± 1.9; P = .01). CONCLUSION: Implementation of an anemia DMT influenced follow-up testing patterns in anemic patients, potentially enhancing diagnostic thoroughness and patient care.

Clinical Prediction Models for Prognosis of Colorectal Liver Metastases: A Comprehensive Review of Regression-Based and Machine Learning Models.

Colorectal liver metastasis (CRLM) is a disease entity that warrants special attention due to its high frequency and potential curability. Identification of "high-risk" patients is increasingly popular for risk stratification and personalization of the management pathway. Traditional regression-based methods have been used to derive prediction models for these patients, and lately, focus has shifted to artificial intelligence-based models, with employment of variable supervised and unsupervised techniques. Multiple endpoints, like overall survival (OS), disease-free survival (DFS) and development or recurrence of postoperative complications have all been used as outcomes in these studies. This review provides an extensive overview of available clinical prediction models focusing on the prognosis of CRLM and highlights the different predictor types incorporated in each model. An overview of the modelling strategies and the outcomes chosen is provided. Specific patient and treatment characteristics included in the models are discussed in detail. Model development and validation methods are presented and critically appraised, and model performance is assessed within a proposed framework.

IgG4-related disease and B-cell malignancy due to an IKZF1 gain-of-function variant.

BACKGROUND: Monoallelic loss-of-function IKZF1 (IKAROS) variants cause B-cell deficiency or combined immunodeficiency, whereas monoallelic gain-of-function (GOF) IKZF1 variants have recently been reported to cause hypergammaglobulinemia, abnormal plasma cell differentiation, autoimmune and allergic manifestations, and infections. OBJECTIVE: We studied 7 relatives with autoimmune/inflammatory and lymphoproliferative manifestations to identify the immunologic disturbances and the genetic cause of their disease. METHODS: We analyzed biopsy results and performed whole-exome sequencing and immunologic studies. RESULTS: Disease onset occurred at a mean age of 25.2 years (range, 10-64, years). Six patients suffered from autoimmune/inflammatory diseases, 4 had confirmed IG4-related disease (IgG4-RD), and 5 developed B-cell malignancies: lymphoma in 4 and multiple myeloma in the remaining patient. Patients without immunosuppression were not particularly prone to infectious diseases. Three patients suffered from life-threatening coronavirus disease 2019 pneumonia, of whom 1 had autoantibodies neutralizing IFN-α. The recently described IKZF1 GOF p.R183H variant was found in the 5 affected relatives tested and in a 6-year-old asymptomatic girl. Immunologic analysis revealed hypergammaglobulinemia and high frequencies of certain lymphocyte subsets (exhausted B cells, effector memory CD4 T cells, effector memory CD4 T cells that have regained surface expression of CD45RA and CD28-CD57+ CD4+ and CD8+ T cells, TH2, and Tfh2 cells) attesting to immune dysregulation. Partial clinical responses to rituximab and corticosteroids were observed, and treatment with lenalidomide, which promotes IKAROS degradation, was initiated in 3 patients. CONCLUSIONS: Heterozygosity for GOF IKZF1 variants underlies autoimmunity/inflammatory diseases, IgG4-RD, and B-cell malignancies, the onset of which may occur in adulthood. Clinical and immunologic data are similar to those for patients with unexplained IgG4-RD. Patients may therefore benefit from treatments inhibiting pathways displaying IKAROS-mediated overactivity.

SLESIS-R: an improved score for prediction of serious infection in patients with systemic lupus erythematosus based on the RELESSER prospective cohort.

OBJECTIVE: To develop an improved score for prediction of severe infection in patients with systemic lupus erythematosus (SLE), namely, the SLE Severe Infection Score-Revised (SLESIS-R) and to validate it in a large multicentre lupus cohort. METHODS: We used data from the prospective phase of RELESSER (RELESSER-PROS), the SLE register of the Spanish Society of Rheumatology. A multivariable logistic model was constructed taking into account the variables already forming the SLESIS score, plus all other potential predictors identified in a literature review. Performance was analysed using the C-statistic and the area under the receiver operating characteristic curve (AUROC). Internal validation was carried out using a 100-sample bootstrapping procedure. ORs were transformed into score items, and the AUROC was used to determine performance. RESULTS: A total of 1459 patients who had completed 1 year of follow-up were included in the development cohort (mean age, 49±13 years; 90% women). Twenty-five (1.7%) had experienced ≥1 severe infection. According to the adjusted multivariate model, severe infection could be predicted from four variables: age (years) ≥60, previous SLE-related hospitalisation, previous serious infection and glucocorticoid dose. A score was built from the best model, taking values from 0 to 17. The AUROC was 0.861 (0.777-0.946). The cut-off chosen was ≥6, which exhibited an accuracy of 85.9% and a positive likelihood ratio of 5.48. CONCLUSIONS: SLESIS-R is an accurate and feasible instrument for predicting infections in patients with SLE. SLESIS-R could help to make informed decisions on the use of immunosuppressants and the implementation of preventive measures.

Work Productivity and Activities of Daily Living in Working Patients with Uveitis.

PURPOSE: To assess self-reported impairment of work productivity and activities of daily living and the indirect costs of absenteeism in a sample of working patients with uveitis and to examine their association with sociodemographic, occupational, and clinical variables. METHODS: We conducted a cross-sectional, cross-association study. Participants completed the self-administered Work Productivity and Activity Impairment Questionnaire uveitis 2.0 to assess absenteeism, presenteeism, overall work impairment, and impairment in activities of daily living. Clinical data were collected from the patients' medical records or instruments used to evaluate clinical parameters in practice. Indirect costs of absenteeism were assessed by the "lost wages method." Two clinical groups were established for this study. Bivariate and multivariate analyses were performed to assess the associations between variables. RESULTS: The final sample comprised 60 participants. Factors significantly associated with increased overall work impairment in the multivariate linear regression analysis were active uveitis (coefficient, 31.5; 95% confidence interval [CI], 16.1 to 46.9; p < 0.001) and presence of ocular comorbidities (coefficient for absence, -16.4; 95% CI, -31.1 to -1.8; p = 0.03). Factors significantly associated with increased impairment in activities of daily living were active uveitis (coefficient, 32.1; 95% CI, 18.2 to 46.0; p < 0.001), presence of ocular comorbidities (coefficient for absence, -23.5; 95% CI, -36.1 to -11.0; p < 0.001), and absence of nonocular comorbidities (coefficient 16.1; 95% CI, 3.9 to 28.3; p = 0.01). CONCLUSIONS: Active uveitis and ocular comorbidities are significantly associated with increased overall work impairment and impairment in activities of daily living in working patients with uveitis.

Genomic epidemiology of the primary methicillin-resistant Staphylococcus aureus clones causing invasive infections in Paraguayan children.

Methicillin-resistant Staphylococcus aureus (MRSA) is one of the major human pathogens. It could carry numerous resistance genes and virulence factors in its genome, some of which are related to the severity of the infection. An observational, descriptive, cross-sectional study was designed to molecularly analyze MRSA isolates that cause invasive infections in Paraguayan children from 2009 to 2013. Ten representative MRSA isolates of the main clonal complex identified were analyzed with short-read paired-end sequencing and assessed for the virulome, resistome, and phylogenetic relationships. All the genetically linked MRSA isolates were recovered from diverse clinical sources, patients, and hospitals at broad gap periods. The pan-genomic analysis of these clones revealed three major and different clonal complexes (CC30, CC5, and CC8), each composed of clones closely related to each other. The CC30 genomes prove to be a successful clone, strongly installed and disseminated throughout our country, and closely related to other CC30 public genomes from the region and the world. The CC5 shows the highest genetic variability, and the CC8 carried the complete arginine catabolic mobile element (ACME), closely related to the USA300-NAE-ACME+, identified as the major cause of CA-MRSA infections in North America. Multiple virulence and resistance genes were identified for the first time in this study, highlighting the complex virulence profiles of MRSA circulating in the country. This study opens a wide range of new possibilities for future projects and trials to improve the existing knowledge on the epidemiology of MRSA circulating in Paraguay. IMPORTANCE: The increasing prevalence of methicillin-resistant Staphylococcus aureus (MRSA) is a public health problem worldwide. The most frequent MRSA clones identified in Paraguay in previous studies (including community and hospital acquired) were the Pediatric (CC5-ST5-IV), the Cordobes-Chilean (CC5-ST5-I), the SouthWest Pacific (CC30-ST30-IV), and the Brazilian (CC8-ST239-III) clones. In this study, the pan-genomic analysis of the most representative MRSA clones circulating in invasive infection in Paraguayan children over the years 2009-2013, such as the CC30-ST30-IV, CC5-ST5-IV, and CC8-ST8-IV, was carried out to evaluate their genetic diversity, their repertoire of virulence factors, and antimicrobial resistance determinants. This revealed multiple virulence and resistance genes, highlighting the complex virulence profiles of MRSA circulating in Paraguay. Our work is the first genomic study of MRSA in Paraguay and will contribute to the development of genomic surveillance in the region and our understanding of the global epidemiology of this pathogen.

Preoperative Risk Factors and Postoperative Complications of COVID-Positive Children Requiring Urgent or Emergent Surgical Care.

BACKGROUND: Preoperative COVID-19 testing protocols were widely implemented for children requiring surgery, leading to increased resource consumption and many delayed or canceled operations or procedures. This study using multi-center data investigated the relationship between preoperative risk factors, COVID-positivity, and postoperative outcomes among children undergoing common urgent and emergent procedures. METHODS: Children (<18 years) who underwent common urgent and emergent procedures were identified in the 2021 National Surgical Quality Improvement Program Pediatric database. The outcomes of COVID-positive and non-COVID-positive (negative or untested) children were compared using simple and multivariable regression models. RESULTS: Among 40,628 children undergoing gastrointestinal surgery (appendectomy, cholecystectomy), long bone fracture fixation, cerebrospinal fluid shunt procedures, gonadal procedures (testicular detorsion, ovarian procedures), and pyloromyotomy, 576 (1.4%) were COVID-positive. COVID-positive children had higher American Society of Anesthesiologists scores (p ≤ 0.001) and more frequently had preoperative sepsis (p ≤ 0.016) compared to non-COVID-positive children; however, other preoperative risk factors, including comorbidities, were largely similar. COVID-positive children had a longer length of stay than non-COVID-positive children (median 1.0 [IQR 0.0-2.0] vs. 1.0 [IQR 0.0-1.0], p < 0.001). However, there were no associations between COVID-19 positivity and overall complications, pulmonary complications, infectious complications, or readmissions. CONCLUSIONS: Despite increased preoperative risk factors, COVID-positive children did not have an increased risk of postoperative complications after common urgent and emergent procedures. However, length of stay was greater for COVID-positive children, likely due to delays in surgery related to COVID-19 protocols. These findings may be applicable to future preoperative testing and surgical timing guidelines related to respiratory viral illnesses in children. LEVEL OF EVIDENCE: III.

Benchmarking of human Y-chromosomal haplogroup classifiers with whole-genome and whole-exome sequence data.

In anthropological, medical, and forensic studies, the nonrecombinant region of the human Y chromosome (NRY) enables accurate reconstruction of pedigree relationships and retrieval of ancestral information. Using high-throughput sequencing (HTS) data, we present a benchmarking analysis of command-line tools for NRY haplogroup classification. The evaluation was performed using paired Illumina data from whole-genome sequencing (WGS) and whole-exome sequencing (WES) experiments from 50 unrelated donors. Additionally, as a validation, we also used paired WGS/WES datasets of 54 individuals from the 1000 Genomes Project. Finally, we evaluated the tools on data from third-generation HTS obtained from a subset of donors and one reference sample. Our results show that WES, despite typically offering less genealogical resolution than WGS, is an effective method for determining the NRY haplogroup. Y-LineageTracker and Yleaf showed the highest accuracy for WGS data, classifying precisely 98% and 96% of the samples, respectively. Yleaf outperforms all benchmarked tools in the WES data, classifying approximately 90% of the samples. Yleaf, Y-LineageTracker, and pathPhynder can correctly classify most samples (88%) sequenced with third-generation HTS. As a result, Yleaf provides the best performance for applications that use WGS and WES. Overall, our study offers researchers with a guide that allows them to select the most appropriate tool to analyze the NRY region using both second- and third-generation HTS data.

Location of Treatment Among Infants Requiring Complex Surgical Care.

INTRODUCTION: Rural children have worse health outcomes compared to urban children. One mechanism for this finding may be decreased access to specialized care at children's hospitals. The objective of this study was to evaluate the hospital types where complex surgical care in infants is performed nationally. METHODS: This study examined infants (<1 y old) in the Kids' Inpatient Database from 2009 to 2019 who underwent surgery for one of the following conditions: esophageal atresia, gastroschisis, omphalocele, Hirschsprung disease, anorectal malformation, pyloric stenosis, small bowel atresia, congenital diaphragmatic hernia, and necrotizing enterocolitis. The relationship between patient residence (rural versus urban) and location of surgical care (children's hospital versus other) was compared in relation to other covariates using multivariable logistic regression models. RESULTS: Among 29,185 infants undergoing these operations, 16.0% lived in a rural area. Rural infants were more frequently White (64.8% versus 43.4% P < 0.001), from the lowest two income quartiles (86.5% versus 52.0%, P < 0.001), and from the South or Midwest regions (P < 0.001). Surgical care was predominantly (94.1%) provided at urban teaching hospitals but frequently not at children's hospitals, especially among rural infants. After adjusting for other covariates, rural infants were significantly less likely to undergo care at a children's hospital for both 2009 (adjusted odds ratio 0.66, P < 0.001) and 2012-2019 (adjusted odds ratio 0.78, P < 0.001). CONCLUSIONS: A sizable portion of complex surgical care in infants is performed outside children's hospitals, especially among those from rural areas. Further work is necessary to ensure adequate access to children's hospitals for rural children.

Impaired lung function in multiple sclerosis: a single-center observational study in 371 persons.

INTRODUCTION: Abnormal lung function in people with multiple sclerosis (PwMS) could be considered as the result of muscle weakness or MS-specific structural central nervous system (CNS) abnormalities as a precipitant factor for the worsening of motor impairment or cognitive symptoms. METHODS: This is a cross-sectional observational study in PwMS. Forced spirometry was conducted, and normative metrics of forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), and the relation FEV1/FVC were calculated. Qualitative and quantitative brain magnetic resonance imaging (MRI) examinations were carried out. RESULTS: A total of 371 PwMS were included in the study. Of those, 196 (53%) had RRMS, 92 (25%) SPMS, and 83 (22%) PPMS. Low FVC and FEV1 was present in 16 (8%), 16 (19%), and 23 (25%) of the patients in the RRMS, PPMS, and SPMS, respectively. PwMS with T2-FLAIR lesions involving the corpus callosum (CC) had a significantly higher frequency of abnormally low FVC and FEV1 (OR 3.62; 95% CI 1.33-9.83; p = 0.012) than patients without lesions in that region. This association remained significant in the RRMS group (OR 10.1; 95% CI 1.3-67.8; p 0.031) when the model excluded PPMS and SPMS. According to our study, for every increase of 1 z score of FVC, we observed an increase of 0.25 cm3 of hippocampal volume (ß 0.25; 95% CI 0.03-0.47; p 0.023) and 0.43 cm3 of left hippocampus volume (ß 0.43; 95% CI 0.16-0.71; p 0.002). CONCLUSIONS: We observed an incremental prevalence of abnormally low pulmonary function tests that parallels a sequence from more early relapsing courses to long-standing progressive courses (RRMS to PPMS or SPMS).

Mentalización, estilo de apego y afrontamiento al estrés en una muestra poblacional de la Costa Atlántica colombiana durante la cuarentena por el COvID-19 / Mentalizing, Attachment Style, and Coping During the COvID-19 Quarantine in Colombia / Mentalização, estilo de apego e enfrentamento do estresse em uma amostra populacional da Costa Atlântica colombiana durante a quarentena causada pelo COvID-19

El objetivo de este artículo es describir la relación de la mentalización y el estilo de apego sobre el afrontamiento del estrés durante la cuarentena por COVID-19 en Colombia. En el estudio participaron 253 personas, de las cuales 68 fueron hombres, 184 mujeres y 1 se identificó como otro. Los participantes se eligieron mediante un muestreo no probabilístico de tipo bola de nieve y el cuestionario de datos se distribuyó por redes sociales. Como instrumentos de investigación se utilizó el Cuestionario de Afrontamiento frente al Estrés (CAE) ­la forma revisada de la EEC-R­, medida de autoinforme diseñada para evaluar siete estilos básicos de afrontamiento; el Cuestionario de Experiencias en Relaciones Cercanas-revisado (ECR) y el Cuestionario de Función Reflexiva (RfQ-8). En los resultados se encontraron correlaciones entre el estilo de apego y la mentalización con el estilo de afrontamiento frente al estrés durante el aislamiento por la pandemia de COVID-19. Se evidenció que un estilo de apego seguro facilita estilos de afrontamiento más adaptativos, a diferencia de los estilos de apego ansioso y evitativo que están más relacionados con estilos de afrontamiento como la auto focalización negativa y la evitación.

This study aimed to describe the relationship between mentalization and attachment style in coping with stress during the COVID-19 quarantine in Colombia. In this study 253 people participated of which 68 were men, 184 were women and 1 was defined as other; the partici- pants were chosen through a non-probabilistic snowball sampling where the questionnaire was distributed in social networks. As instruments, the CAE is the revised form of the EEC-R; a self-report measure designed to assess seven basic coping styles, the Experiences in Close Relationships-Revised (ECR) questionnaire and the Reflective Function Questionnaire (RfQ-8) were used. The results found correlations between attachment style and mentalization with coping style in the face of stress during the COVID-19 pandemic isolation. Finding that a secure attachment style facilitates more adaptive coping styles, as opposed to anxious and avoidant attachment styles that are more related to coping styles such as negative self-focus and avoidance.

O objetivo do estudo foi descrever a relação entre mentalização e estilo de apego no enfrentamento do estresse durante a quarentena da COVID-19 na Colôm- bia. Neste estudo, participaram 253 pessoas, das quais 68 eram homens, 184 eram mulheres e 1 definido como outro; os participantes foram escolhidos por meio de uma amostragem não probabilística em bola de neve onde o questionário foi distribuído nas redes sociais. Como instrumentos foram usados, o CAE, que é a forma revisada do EEC-R; medida de autorrelato projetada para avaliar sete estilos básicos de enfren- tamento, o questionário Experiencias em Relaciona- mentos Próximos-revisado (ECR) e o Questionário de Funcionamento Reflexivo (RfQ-8). Nos resultados, foram encontradas correlações entre o estilo de apego e a mentalização com o estilo de enfrentamento do estresse durante o isolamento devido à pandemia de COVID-19. Descobriu-se que um estilo de apego seguro facilita estilos de enfrentamento mais adaptativos, ao contrário dos estilos de apego ansioso e evitativo, que estão mais relacionados a estilos de enfrentamento, como autofoco negativo e evitação.

Reinfection rate and disease severity of the BA.5 Omicron SARS-CoV-2 lineage compared to previously circulating variants of concern in the Canary Islands (Spain).

ABSTRACTThe emergence of the Omicron SARS-CoV-2 variant of concern has changed the COVID-19 scenario as this variant is characterized by high transmissibility and immune evasion ability. To evaluate the impact of this variant on the Canary Islands (Spain) population, we determined the reinfection rates and disease severity associated with the Omicron sublineages and the previously circulating variants of concern. We performed a retrospective observational study on 21,745 SARS-CoV-2 viral genomes collected from December 2020 to July 2022 in the Canary Islands (Spain). We compared the reinfection rates between lineages using pairwise proportion and Fisher's exact tests. To assess disease severity, we studied the association of Alpha, Delta, BA.1, BA.2, BA.5, and other risk factors on 28-day hospital mortality using logistic regression and Cox proportional hazard models. We observed 127 bona fide reinfection cases throughout the study period. We found that BA.5 had the highest reinfection rate compared to other lineages (vs. Delta p = 2.89 × 10-25; vs. BA.1 p = 5.17 × 10-11; vs. BA.2 p = 0.002). Among the 1,094 hospitalized patients, multivariate logistic regression showed that Alpha (Odds Ratio [OR] = 0.45, 95% Confidence Interval [CI] = 0.23-0.87, p = 0.02), BA.2 (OR = 0.38, 95% CI = 0.22-0.63, p = 1.91 × 10-4), and BA.5 (OR = 0.30, 95% CI = 0.16-0.55, p = 1.05 × 10-4) had lower 28-day hospital mortality compared to Delta. These results were confirmed by using Cox proportional hazard models. Omicron lineages, and in particular BA.5, were associated with higher reinfection rates and lower disease severity (28-day hospital mortality) than previously circulating variants of concern.

Dynamics of the Equine Placental DNA Methylome and Transcriptome from Mid- to Late Gestation.

The placenta is a temporary organ that is essential for the survival of the fetus, with a lifelong effect on the health of both the offspring and the dam. The functions of the placenta are controlled by its dynamic gene expression during gestation. In this study, we aimed to investigate the equine placental DNA methylome as one of the fundamental mechanisms that controls the gene expression dynamic. Chorioallantois samples from four (4M), six (6M), and ten (10M) months of gestation were used to map the methylation pattern of the placenta. Globally, methylation levels increased toward the end of gestation. We identified 921 differentially methylated regions (DMRs) between 4M and 6M, 1225 DMRs between 4M and 10M, and 1026 DMRs between 6M and 10M. A total of 817 genes carried DMRs comparing 4M and 6M, 978 comparing 4M and 10M, and 804 comparing 6M and 10M. We compared the transcriptomes between the samples and found 1381 differentially expressed genes (DEGs) when comparing 4M and 6M, 1428 DEGs between 4M and 10M, and 741 DEGs between 6M and 10M. Finally, we overlapped the DEGs and genes carrying DMRs (DMRs-DEGs). Genes exhibiting (a) higher expression, low methylation and (b) low expression, high methylation at different time points were identified. The majority of these DMRs-DEGs were located in introns (48.4%), promoters (25.8%), and exons (17.7%) and were involved in changes in the extracellular matrix; regulation of epithelial cell migration; vascularization; and regulation of minerals, glucose, and metabolites, among other factors. Overall, this is the first report highlighting the dynamics in the equine placenta methylome during normal pregnancy. The findings presented serve as a foundation for future studies on the impact of abnormal methylation on the outcomes of equine pregnancies.

Translational Neuroscience Approaches to Understanding Autism.

While autism spectrum disorder affects nearly 2% of children in the United States, little is known with certainty concerning the etiologies and brain systems involved. This is due, in part, to the substantial heterogeneity in the presentation of the core symptoms of autism as well as the great number of co-occurring conditions that are common in autistic individuals. Understanding the neurobiology of autism is further hampered by the limited availability of postmortem brain tissue to determine the cellular and molecular alterations that take place in the autistic brain. Animal models therefore provide great translational value in helping to define the neural systems that constitute the social brain and mediate repetitive behaviors or interests. If they are based on genetic or environmental factors that contribute to autism, organisms from flies to nonhuman primates may serve as models of the neural structure or function of the autistic brain. Ultimately, successful models can also be employed to test the safety and effectiveness of potential therapeutics. This is an overview of the major animal species that are currently used as models of autism, including an appraisal of the advantages and limitations of each.

Successful outcomes of surgery procedures in patient with Glanzmann´s Thrombasthenia

We report a 35-year-old female patient with Glanzmann's thrombasthenia (GT) and severe anemia due to abnormal uterine bleeding secondary to uterine myomatosis. She required several admissions of red blood cells and platelet transfusions. An elective subtotal hysterectomy with salpingo-oophorectomy was proposed and recombinant factor VII was required. Surgical and postoperative outcomes were successful, without surgical complications, bleeding, or hemogram alterations. 4 years later, she required tooth extraction because of periodontal disease and pulp necrosis. In Peru, reports of GT patients requiring major and minor surgical procedures are lacking, given the low disease prevalence and the difficulties related to surgery. The report of these successful cases becomes relevant to continue improving GT management.

Presentamos el caso de una paciente de 35 años con trombastenia de Glanzmann (GT) y anemia severa por sangrado uterino anormal secundario a miomatosis uterina. Requirió varias admisiones de transfusiones de glóbulos rojos y plaquetas. Se propuso histerectomía subtotal electiva con salpingo-ooforectomía y se requirió factor VII recombinante. Los resultados quirúrgicos y postoperatorios fueron exitosos, sin complicaciones quirúrgicas, sangrado ni alteraciones del hemograma. 4 años después, requirió extracción dental por enfermedad periodontal y necrosis pulpar. En Perú faltan reportes de pacientes con GT que requieran procedimientos quirúrgicos mayores y menores, dada la baja prevalencia de la enfermedad y las dificultades relacionadas con la cirugía. El reporte de estos casos de éxito cobra relevancia para seguir mejorando la gestión de GT

Coeliac Disease Case-Control Study: Has the Time Come to Explore beyond Patients at Risk?

The worldwide prevalence of asymptomatic coeliac disease (CD) is increasing, which is in part due to the routine screening of children with risk factors. Both symptomatic and asymptomatic patients with CD are at risk of long-term complications. The objective of this study was to compare the clinical characteristics of asymptomatic and symptomatic children at the time of CD diagnosis. A case-control study was conducted using data from a cohort of 4838 CD patients recruited from 73 centers across Spain between 2011 and 2017. A total of 468 asymptomatic patients (cases) were selected and matched by age and sex with 468 symptomatic patients (controls). Clinical data, including any reported symptoms, as well as serologic, genetic, and histopathologic data were collected. No significant differences were found between the two groups in most clinical variables, nor in the degree of intestinal lesion. However, the asymptomatic patients were taller (height z-score -0.12 (1.06) vs. -0.45 (1.19), p < 0.001) and were less likely to have anti transglutaminase IgA antibodies ≥ 10 times the upper normal limit (66.2% vs. 758.4%, p = 0.002). Among the 37.1% of asymptomatic patients who were not screened for CD due to the absence of risk factors, only 34% were truly asymptomatic, while the remaining 66% reported non-specific CD-related symptoms. Therefore, expanding CD screening to any child who undergoes a blood test could reduce the burden of care for some children, as many of those considered asymptomatic reported non-specific CD-related symptoms.