Body map stories from Colombia: experiences of people affected by leprosy and the influence of peers during diagnosis and treatment.

INTRODUCTION: Almost one third of people affected by leprosy in Colombia suffer from disability, which often results from delayed diagnosis and treatment. We aimed to explore the experience of people affected by leprosy during the process of diagnosis and treatment and if and how this experience was influenced by peers. METHODS: A qualitative study using body map stories was conducted from October 2019 to February 2020 in Colombia. Adult people affected by leprosy were recruited through patient associations in different cities. We conducted three sessions with an average duration of 2-3 h per participant, during which the participants created a painted map of their body and chose symbols to represent their experience, while being engaged in an informal interview. The sessions were audio recorded, transcribed verbatim and analyzed thematically by an interdisciplinary team, consisting of physicians, social workers and a person affected by leprosy. RESULTS: The 17 study participants (11 female) were aged 20 to 70 years. Leprosy-related manifestations ranged from no to advanced disability. Some participants were active members of associations for people affected by leprosy. Three main themes were identified during analysis: (1) A long pathway to diagnosis, (2) Therapy as a double-edged sword and (3) The influence of other people affected by leprosy. The participants described an often years-long process until being diagnosed, which was marked by insecurities, repeated misdiagnosis, and worsening mental and physical health. Delayed diagnosis was related to late health care seeking, but also to inadequate health communication, lack of leprosy-related knowledge and negligence among health care workers. A high desire to cure motivated the participants to take their medication rigorously, despite the high treatment burden. Support from peers, either within the own social environment or provided from associations, contributed to a faster diagnosis and increased therapy adherence. Peers helped to recognize the symptoms, urged patients to seek care, recommended physicians with leprosy-related knowledge and provided a realistic example of both disease severity and curability. CONCLUSION: People affected by leprosy experience a significant burden during the process of diagnosis and treatment. Involving well-trained peers could foster early diagnosis, treatment compliance and prevention of disability.

Prevalence of Chagas disease in Latin American pregnant women in Madrid, Spain: A multicentre cross-sectional study from 2011 to 2016.

OBJECTIVE: The aim of this study is to assess Trypanosoma cruzi infection prevalence among pregnant migrants living in Madrid according to the country of origin and to assess screening coverage in this at-risk population. METHODS: Retrospective multicentre cross-sectional study conducted from January 2011 to December 2016 in eight Madrid hospitals. Each hospital reviewed their microbiology data records to assess the screening coverage and serological diagnosis in all pregnant women coming from endemic areas. RESULTS: From 2011 to 2016, 149,470 deliveries were attended at the eight hospitals, and 11,048 pregnant women were screened for Chagas disease. Most cases (93.5%) were in women from Bolivia, who also showed the highest prevalence (12.4%, 95% confidence interval: 9.9-15.0). Pooled prevalence amongst the screened women was 2.9% (95% CI: 1.8-4.1). Chagas disease screening coverage varied greatly between centres, with a pooled mean coverage of 47% (95% CI: 37%-57%; 73% [95% CI: 63%-82%] for those centres with universal screening vs. 10% [95% CI: 6%-15%] for those with a selective screening approach; p < 0.001). CONCLUSION: Our study provides useful data for policy makers and epidemiologists in a non-endemic area without congenital Chagas screening programmes.

Are electrophysiological and oligodendrocyte alterations an element in the development of multiple sclerosis at the same time as or before the immune response?

Efficient communication between the glial cells and neurons is a bi-directional process that is essential for conserving normal functioning in the central nervous system (CNS). Neurons dynamically regulate other brain cells in the healthy brain, yet little is known about the first pathways involving oligodendrocytes and neurons. Oligodendrocytes are the myelin-forming cells in the CNS that are needed for the propagation of action potentials along axons and additionally serve to support neurons by neurotrophic factors (NFTs). In demyelinating diseases, like multiple sclerosis (MS), oligodendrocytes are thought to be the victims. Axonal damage begins early and remains silent for years, and neurological disability develops when a threshold of axonal loss is reached, and the compensatory mechanisms are depleted. Three hypotheses have been proposed to explain axonal damage: 1) the damage is caused by an inflammatory process; 2) there is an excessive accumulation of intra-axonal calcium levels; and, 3) demyelinated axons evolve to a degenerative process resulting from the lack of trophic support provided by myelin or myelin-forming cells. Although MS was traditionally considered to be a white matter disease, the demyelination process also occurs in the cerebral cortex. Recent data supports the notion that initial response is triggered by CNS injury. Thus, the understanding of the role of neuron-glial neurophysiology would help provide us with further explanations. We should take in account the suggestion that MS is in part an autoimmune disease that involves genetic and environmental factors, and the pathological response leads to demyelination, axonal loss and inflammatory infiltrates.

Safety of high-dose ivermectin: a systematic review and meta-analysis.

BACKGROUND: Ivermectin is a key anthelmintic for the control of neglected tropical diseases. The main indications for population-level control with ivermectin through mass drug administration are onchocerciasis and lymphatic filariasis; however, there is interest in using higher, fixed-dose regimens for the control of scabies, soil-transmitted helminths and malaria. Safety data for these higher-dose regimens are needed. METHODS: A systematic literature review and meta-analysis on the safety and doses of ivermectin was conducted. Eligible studies reported patient-level data and, for the meta-analysis, clinical trials reporting data on doses ≥200 and ≥400 µg/kg were included. Incidence ratios were used to compare adverse events by severity and organ system affected. RESULTS: The systematic search identified six studies for inclusion, revealing no differences in the number of individuals experiencing adverse events. A descriptive analysis of these clinical trials for a variety of indications showed no difference in the severity of the adverse events between standard (up to 400 µg/kg) and higher doses of ivermectin. Organ system involvement only showed an increase in ocular events in the higher-dose group in one trial for the treatment of onchocerciasis, all of them transient and mild to moderate in intensity. CONCLUSIONS: Although within this review the safety of high-dose ivermectin appears to be comparable to standard doses, there are not enough data to support a recommendation for its use in higher-than-approved doses. Ocular adverse events, despite being transient, are of concern in onchocerciasis patients. These data can inform programme managers and guide operational research activities as new approaches for the use of ivermectin are evaluated.

CliqueMS: a computational tool for annotating in-source metabolite ions from LC-MS untargeted metabolomics data based on a coelution similarity network.

MOTIVATION: The analysis of biological samples in untargeted metabolomic studies using LC-MS yields tens of thousands of ion signals. Annotating these features is of the utmost importance for answering questions as fundamental as, e.g. how many metabolites are there in a given sample. RESULTS: Here, we introduce CliqueMS, a new algorithm for annotating in-source LC-MS1 data. CliqueMS is based on the similarity between coelution profiles and therefore, as opposed to most methods, allows for the annotation of a single spectrum. Furthermore, CliqueMS improves upon the state of the art in several dimensions: (i) it uses a more discriminatory feature similarity metric; (ii) it treats the similarities between features in a transparent way by means of a simple generative model; (iii) it uses a well-grounded maximum likelihood inference approach to group features; (iv) it uses empirical adduct frequencies to identify the parental mass and (v) it deals more flexibly with the identification of the parental mass by proposing and ranking alternative annotations. We validate our approach with simple mixtures of standards and with real complex biological samples. CliqueMS reduces the thousands of features typically obtained in complex samples to hundreds of metabolites, and it is able to correctly annotate more metabolites and adducts from a single spectrum than available tools. AVAILABILITY AND IMPLEMENTATION: https://CRAN.R-project.org/package=cliqueMS and https://github.com/osenan/cliqueMS. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

iMet: A Network-Based Computational Tool To Assist in the Annotation of Metabolites from Tandem Mass Spectra.

Structural annotation of metabolites relies mainly on tandem mass spectrometry (MS/MS) analysis. However, approximately 90% of the known metabolites reported in metabolomic databases do not have annotated spectral data from standards. This situation has fostered the development of computational tools that predict fragmentation patterns in silico and compare these to experimental MS/MS spectra. However, because such methods require the molecular structure of the detected compound to be available for the algorithm, the identification of novel metabolites in organisms relevant for biotechnological and medical applications remains a challenge. Here, we present iMet, a computational tool that facilitates structural annotation of metabolites not described in databases. iMet uses MS/MS spectra and the exact mass of an unknown metabolite to identify metabolites in a reference database that are structurally similar to the unknown metabolite. The algorithm also suggests the chemical transformation that converts the known metabolites into the unknown one. As a proxy for the structural annotation of novel metabolites, we tested 148 metabolites following a leave-one-out cross-validation procedure or by using MS/MS spectra experimentally obtained in our laboratory. We show that for 89% of the 148 metabolites at least one of the top four matches identified by iMet enables the proper annotation of the unknown metabolites. To further validate iMet, we tested 31 metabolites proposed in the 2012-16 CASMI challenges. iMet is freely available at http://imet.seeslab.net .

geoRge: A Computational Tool To Detect the Presence of Stable Isotope Labeling in LC/MS-Based Untargeted Metabolomics.

Studying the flow of chemical moieties through the complex set of metabolic reactions that happen in the cell is essential to understanding the alterations in homeostasis that occur in disease. Recently, LC/MS-based untargeted metabolomics and isotopically labeled metabolites have been used to facilitate the unbiased mapping of labeled moieties through metabolic pathways. However, due to the complexity of the resulting experimental data sets few computational tools are available for data analysis. Here we introduce geoRge, a novel computational approach capable of analyzing untargeted LC/MS data from stable isotope-labeling experiments. geoRge is written in the open language R and runs on the output structure of the XCMS package, which is in widespread use. As opposed to the few existing tools, which use labeled samples to track stable isotopes by iterating over all MS signals using the theoretical mass difference between the light and heavy isotopes, geoRge uses unlabeled and labeled biologically equivalent samples to compare isotopic distributions in the mass spectra. Isotopically enriched compounds change their isotopic distribution as compared to unlabeled compounds. This is directly reflected in a number of new m/z peaks and higher intensity peaks in the mass spectra of labeled samples relative to the unlabeled equivalents. The automated untargeted isotope annotation and relative quantification capabilities of geoRge are demonstrated by the analysis of LC/MS data from a human retinal pigment epithelium cell line (ARPE-19) grown on normal and high glucose concentrations mimicking diabetic retinopathy conditions in vitro. In addition, we compared the results of geoRge with the outcome of X(13)CMS, since both approaches rely entirely on XCMS parameters for feature selection, namely m/z and retention time values. To ensure data traceability and reproducibility, and enabling for comparison with other existing and future approaches, raw LC/MS files have been deposited in MetaboLights (MTBLS213) and geoRge is available as an R script at https://github.com/jcapelladesto/geoRge.

Validation of the Spanish version of the multifaceted empathy test: comparison between cannabis use effects and controls in social cognition.

OBJECTIVE: While social cognition is shown to be impaired in several mental disorders, the effects of cannabis on social cognition are still not clear. Past studies have used the multifaceted empathy test (MET) to study social cognition. This study aims to test the validity of the MET Spanish version and to evaluate the effects of cannabis use on social cognition. METHODS: In total 116 participants from a Cannabis Social Club (CSC) completed the MET and the reading the mind in the eyes test (RMET) under the effects of cannabis and were compared to 86 university students (control group). Internal consistency and convergent validity were assessed. Cognitive empathy (CE) and emotional empathy (EE) were tested in both groups. RESULTS: The MET CE scale shows low internal consistency, while the EE scale shows high internal consistency. Items showed similar difficulty for both groups. Cannabis users showed deficient overall emotional recognition, with reduced scores associated with positive stimuli. Overall scores for EE were similar for both groups, but the experimental group scored lower with negative stimuli when compared to controls. CONCLUSION: This study validates the MET Spanish version for its use in future studies. Results confirmed deficient emotional recognition in cannabis users and a dampened reaction to negative stimuli for the first time.

Toward the use of novel alternative methods in epilepsy modeling and drug discovery.

Epilepsy is a chronic brain disease and, considering the amount of people affected of all ages worldwide, one of the most common neurological disorders. Over 20 novel antiseizure medications (ASMs) have been released since 1993, yet despite substantial advancements in our understanding of the molecular mechanisms behind epileptogenesis, over one-third of patients continue to be resistant to available therapies. This is partially explained by the fact that the majority of existing medicines only address seizure suppression rather than underlying processes. Understanding the origin of this neurological illness requires conducting human neurological and genetic studies. However, the limitation of sample sizes, ethical concerns, and the requirement for appropriate controls (many patients have already had anti-epileptic medication exposure) in human clinical trials underscore the requirement for supplemental models. So far, mammalian models of epilepsy have helped to shed light on the underlying causes of the condition, but the high costs related to breeding of the animals, low throughput, and regulatory restrictions on their research limit their usefulness in drug screening. Here, we present an overview of the state of art in epilepsy modeling describing gold standard animal models used up to date and review the possible alternatives for this research field. Our focus will be mainly on ex vivo, in vitro, and in vivo larval zebrafish models contributing to the 3R in epilepsy modeling and drug screening. We provide a description of pharmacological and genetic methods currently available but also on the possibilities offered by the continued development in gene editing methodologies, especially CRISPR/Cas9-based, for high-throughput disease modeling and anti-epileptic drugs testing.

Knowledge about Chagas Disease among Family and Community Medicine Residents in a Non-Endemic Region: A Cross-Sectional Study.

Chagas disease (CD) is a parasitic disease endemic to continental Latin America that has globalized in recent years. The most relevant mechanisms of transmission of CD in non-endemic countries are transfusion with infected blood and mother-to-child transmission. There is limited information regarding practicing physicians' knowledge of CD transmission, clinical presentation, and treatment in non-endemic countries, including Spain. Our objective was to analyze the level of knowledge about CD in family and community medicine residents and how it has evolved over the last 5 years. A cross-sectional study was performed in the framework of the training program for family and community medicine specialists in Alicante, Spain. Convenience sampling was used to enroll 214 fourth-year family and community medicine residents from 2016 to 2020. Participants completed the validated Chagas Level of Knowledge Scale questionnaire prior to attending the seminar "Health Care for the Immigrant Population." The mean score on the scale was 7.1/10 points. Only 12 participants (5.6%) answered all questions correctly. Resident physicians who reported having received prior information on CD scored better than those who were not informed (mean, 7.2 versus 6.1 points). Participants from Latin America had scores similar to those of the rest of the participants. Over the 5-year study period, questionnaire scores tended to increase. Knowledge about CD among family and community medicine residents has improved in recent years, although it is still not optimal. Specific training on CD during specialized health care training is warranted.

Ivermectin Effect on In-Hospital Mortality and Need for Respiratory Support in COVID-19 Pneumonia: Propensity Score-Matched Retrospective Study.

INTRODUCTION: There is negligible evidence on the efficacy of ivermectin for treating COVID-19 pneumonia. This study aimed to assess the efficacy of ivermectin for pre-emptively treating Strongyloides stercoralis hyperinfection syndrome in order to reduce mortality and the need for respiratory support in patients hospitalized for COVID-19. METHODS: This single-center, observational, retrospective study included patients admitted with COVID-19 pneumonia at Hospital Vega Baja from 23 February 2020 to 14 March 2021. Because strongyloidiasis is endemic to our area, medical criteria support empiric administration of a single, 200 µg/kg dose of ivermectin to prevent Strongyloides hyperinfection syndrome. The outcome was a composite of all-cause in-hospital mortality and the need for respiratory support. RESULTS: Of 1167 patients in the cohort, 96 received ivermectin. After propensity score matching, we included 192 patients. The composite outcome of in-hospital mortality or need for respiratory support occurred in 41.7% of the control group (40/96) and 34.4% (33/96) of the ivermectin group. Ivermectin was not associated with the outcome of interest (adjusted odds ratio [aOR] 0.77, 95% confidence interval [CI] 0.35, 1.69; p = 0.52). The factors independently associated with this endpoint were oxygen saturation (aOR 0.78, 95% CI 0.68, 0.89, p < 0.001) and C-reactive protein at admission (aOR: 1.09, 95% CI 1.03, 1.16, p < 0.001). CONCLUSIONS: In hospitalized patients with COVID-19 pneumonia, ivermectin at a single dose for pre-emptively treating Strongyloides stercoralis is not effective in reducing mortality or the need for respiratory support measures.

Spanish versions and validation of a series of rating scales and visual analogue scales to assess the subjective effects of cannabis.

Cannabis is being legalized for medical and recreational purposes all around the world. However, the understanding of the psychological effects of cannabis is still limited, and it has been previously linked to mental disorders such as schizophrenia. Lately, new scales have been created and adapted to measure its psychological effects. The aim of this study is to create Spanish versions of some of these scales and test their psychometric characteristics. One hundred sixteen participants were recruited from Cannabis Social Clubs (CSC) in Barcelona, Spain. Participants under the effects of their own cannabis completed the Cannabis Experience Questionnaire-modified version (CEQ-mv), Addiction Research Centre Inventory-18 (ARCI-18), Psychotomimetic States Inventory (PSI) and Visual Analogue Scales (VAS). Questionnaires were completed in the CSC, providing a naturalistic setting for the study. Exploratory factor analysis and internal consistency were analyzed. PSI was reduced from a 6-factor to a 4-factor model with adequate to low reliability, ARCI-18 was reduced from a 3-factor to a 2-factor model with good reliability, and VAS were reduced from a 4-factor to a 3-factor model, also with good reliability. These questionnaires showed adequate reliability and can be used in future studies to test the subjective effects of cannabis in clinical and naturalistic settings.

Reluctance to do blood testing limits HIV diagnosis and appropriate health care of sub-Saharan African migrants living in Spain.

This study investigates the reasons why sub-Saharan African migrants (SSAM) living in Spain may be unwilling to have their blood tested. A qualitative study was developed for 3 years (2006-2009) with the participation of 1338 SSAM. Cultural differences along with lack of information about Spanish health care system and health-related rights produced a feeling of mistrust towards medical staff. Reluctance to do blood testing may prevent SSAM from having a prompt HIV diagnosis and an appropriate health care. Linguistically and culturally adapted information is essential to overcome these barriers and achieve an equal access to health care services and HIV testing.

Class, type and position of 9148 surgically removed third molars in 3206 patients: a retrospective study.

OBJECTIVE: To investigate the class, type, position, diagnosis and most common procedures used in the surgical removal of third molars, and evaluate the sex and age distribution in a representative sample of Mexican patients. STUDY DESIGN: A retrospective descriptive study was made covering the period 1993-2008 in relation to 9148 extracted third molars in 3206 patients treated in the Dental School of Salle Bajío University, A.C. (Mexico). Patients of either sex and aged 11-59 years, with at least one third molar programmed for surgical removal, were included in the study. A descriptive statistical study was made. RESULTS: The mean patient age was 27.6 ± 10.6 years. There were 2093 females (65.3%) and 1111 males (34.6%). In relation to the 4025 upper molars, extraction was decided for prophylactic reasons in 3827 cases (95.08%). Type A presentations were recorded in 1929 cases (47.9%), with a vertical position in 1931 teeth (48%). In relation to the 5123 lower third molars, extraction was likewise most often indicated for prophylactic reasons (4424 cases, 86.36%). A total of 2353 teeth corresponded to type A (45.9%), 2545 were class I cases (49.7%), and a mesioangular position was observed in 1850 cases (36.1%). CONCLUSIONS: The present study shows that in Mexican patients, upper third molars most often correspond to type A and class I, with a vertical position, while lower third molars predominantly correspond to type A and class I, with a mesioangular position. This information can help dental surgeons take better decisions before and after surgery, to the benefit of their patients.

Estimating chagas disease prevalence and number of underdiagnosed, and undertreated individuals in Spain.

BACKGROUND: Chagas disease constitutes a public health problem, and Spain is the non-endemic country with the highest burden of disease outside the Americas. It represents a model for non-endemic countries regarding health policies to control the disease. This study is aimed to generate estimates of the T.cruzi prevalence and the number of undetected and untreated individuals with the infection in Spain and to compare them with the actual number of cases reported by official sources. METHODS: Using aggregate data collected from the literature and official sources (Spanish National Statistics Institute; Spanish Agency of Medicines and Medical Devices) from 2010 to 2018, this study estimates the number of Chagas disease cases, plus the underdiagnosis and undertreatment rates. RESULTS: We estimated that 55,367 out of 2,602,285 migrants originally from endemic countries were living with Chagas disease in Spain in 2018, accounting for a prevalence of 2.1%. Only 1% of these cases(613/455,566) were children aged 14 years or less resulting in a prevalence of 0.1%. Bolivian migrants accounted for 53.9% of the total estimated cases. The index of underdiagnosis and undertreatment were heterogeneous across different Spanish autonomous regions, but the overall index of underdiagnosis was around 71%, and the overall index of undertreatment was 82.5% in patients aged 15 years or older, and 60% in children. CONCLUSION: The burden of Chagas disease in Spain is considerable. Index of underdiagnosis and undertreatment are high, particularly in women of childbearing age, but they have improved in children since the implementation of antenatal screening programmes.

Understanding the widespread use of veterinary ivermectin for Chagas disease, underlying factors and implications for the COVID-19 pandemic: a convergent mixed-methods study.

OBJECTIVES: Veterinary ivermectin (vet-IVM) has been used widely in Latin America against COVID-19, despite the lack of scientific evidence and potential risks. Widespread vet-IVM intake was also discovered against Chagas disease during a study in Bolivia prior to the pandemic. All vet-IVM-related data were extracted to understand this phenomenon, its extent and underlying factors and to discuss potential implications for the current pandemic. DESIGN: A convergent mixed-methods study design including a survey, qualitative in-depth interviews (IDI) and focus group discussions (FGD). SETTING: A cross-sectional study conducted in 2018 covering the geographic area of Monteagudo, an endemic municipality for Chagas disease. PARTICIPANTS: A total of 669 adult household representatives from 26 communities participated in the survey, supplemented by 14 IDI and 2 FGD among patients, relatives and key informants. RESULTS: 9 IDI and 2 FGD contained narratives on vet-IVM use against Chagas disease. Five main themes emerged: (1) the extent of the vet-IVM phenomenon, (2) the perception of vet-IVM as a treatment for Chagas disease, (3) the vet-IVM market and the controversial role of stakeholders, (4) concerns about potential adverse events and (5) underlying factors of vet-IVM use against Chagas disease.In quantitative analysis, 28% of participants seropositive for Chagas disease had taken vet-IVM. Factors associated with multivariate analysis were advanced age (OR 17.01, 95 CI 1.24 to 36.55, p=0.027 for age above 60 years), the experience of someone close as information source (OR 3.13, 95 CI 1.62 to 5.02, p<0.001), seropositivity for Chagas disease (OR 3.89, 95 CI 1.39 to 6.20, p=0.005) and citing the unavailability of benznidazole as perceived healthcare barrier (OR 2.3, 95 CI 1.45 to 5.18, p=0.002). Participants with an academic education were less likely to report vet-IVM intake (OR 0.12, 95 CI 0.01 to 0.78, p=0.029). CONCLUSIONS: Social determinants of health, the unavailability of treatment and a wonder drug image might contribute to the phenomenon of vet-IVM.

Visceral larva migrans in immigrants from latin america.

To determine whether increased migration is associated with an increase in incidence of toxocariasis (visceral larva migrans), we analyzed clinical data obtained from immigrants from Latin America. Although infection with Toxocara sp. roundworm larvae is distributed worldwide, seroprevalence is highest in tropical and subtropical areas.

Retrospective methodology to estimate daily infections from deaths (REMEDID) in COVID-19: the Spain case study.

The number of new daily infections is one of the main parameters to understand the dynamics of an epidemic. During the COVID-19 pandemic in 2020, however, such information has been underestimated. Here, we propose a retrospective methodology to estimate daily infections from daily deaths, because those are usually more accurately documented. Given the incubation period, the time from illness onset to death, and the case fatality ratio, the date of death can be estimated from the date of infection. We apply this idea conversely to estimate infections from deaths. This methodology is applied to Spain and its 19 administrative regions. Our results showed that probable daily infections during the first wave were between 35 and 42 times more than those officially documented on 14 March, when the national government decreed a national lockdown and 9 times more than those documented by the updated version of the official data. The national lockdown had a strong effect on the growth rate of virus transmission, which began to decrease immediately. Finally, the first inferred infection in Spain is about 43 days before the official data were available during the first wave. The current official data show delays of 15-30 days in the first infection relative to the inferred infections in 63% of the regions. In summary, we propose a methodology that allows reinterpretation of official daily infections, improving data accuracy in infection magnitude and dates because it assimilates valuable information from the National Seroprevalence Studies.