Savoir traditionnel sur les plantes antipaludiques à propriétés analgésiques, utilisées dans le district de Bamako (Mali)

Objectif : Le but de cette étude était de recenser les plantes utilisées dans la prise en charge traditionnelle de la douleur palustre.Méthodologie et résultats : Les enquêtes ont été menées de février à mars 2011 dans le district de Bamako et le cercle de Kati. Les informations ont été collectées par une nouvelle méthode d’enquête ethnobotanique dénommée «Achat en Triplet de Recettes Médicinales (ATRM)» couplée à l’interview semi-structurée auprès de vingt quatre tradipraticiens de santé (herboristes et tradipraticiens de santé composés de dix sept femmes (70,8%) et sept hommes (29,2%). Au total 54 espèces médicinales appartenant à 52 genres de 21 familles ont été recensées. Les Fabaceae (ex-Caesalpiniaceae), les Rubiaceae, les Combretaceae et les Asteraceae sont les familles les plus représentées. Onze espèces ont été recensées par les deux méthodes à la fois. Mitragyna inermis et Anogeissus leiocarpus étaient les plus citées. Les recettes de la présente étude sont principalement préparées par décoction (92,8%) et majoritairement administrées par voie orale (52,6%). Les espèces recensées provenaient principalement des savanes, foret, champs de culture et de jachère. Mitragyna inermis (Willd.) O. Kuntze, Afrormosia laxiflora (Benth. ex Bak.) Harms, Parkia biglobosa (Jacq.) Benth, Pteleopsis suberosa Engl. & Diels, Cassytha filiformis Linn., Tamarindus indica Linn., sont véritablement menacées dans leur biotope à cause de leur surexploitation en médecine traditionnelle et méritent d’être sauvegardées pour leur conservation aux générations futures.Conclusion et application des résultats : La présente étude montre que les herboristes et tradipraticiens de santé de Bamako connaissent des plantes analgésiques utilisées dans la prise en charge traditionnelle du paludisme. Cette étude a aussi montré que certaines espèces sont menacées. Des investigations ultérieures sont nécessaires pour sélectionner certaines espèces identifiées puis vérifier in vivo leurs activités analgésiques.Mots clés : Ethnobotanique, plantes antipaludiques, propriétés analgésiques, nouvelle méthode, Mali

Contrôle de qualité des médicaments antipaludiques au Mali

Les molécules antipaludiques rencontrées et prélevées dans les différentes régions du Mali et du district de Bamako, ont été analysées au Laboratoire National de la Santé. Les échantillons analysés provenaient d’Afrique, d’Europe, d’Asie et d’Amérique. L’échantillonnage a concerné 303 échantillons analysés, dont 260 étaient conformes, soit un taux de 85,8% et 43 étaient non conformes, soit 14,2%. Les non conformités décelées provenaient toutes des formes comprimés et injectables et concernaient spécifiquement les molécules de quinine. Les non-conformités décelées étaient de 03 types : l’absence de principe actif indiqué, le surdosage et le sous-dosage. Suivant le circuit de prélèvement dans la chaîne de distribution, les nonconformités ont été décelées en majorité dans les hôpitaux et les Centres de santé (40 échantillons) et secondairement au niveau des dépôts de vente privés (03 échantillons)

The association between child Schistosoma spp. infections and morbidity in an irrigated rice region in Mali: a localized study

Schistosomiasis is one of the neglected tropical diseases endemic to Mali. There has been insufficient investigation of the morbidity burden in highly endemic irrigated rice areas with the ongoing mass drug administration with praziquantel. In February 2005, a year after an initial mass drug administration in 2004, we performed the first cross-sectional survey of schistosomiasis in the Kokry-Bozo village in the Office du Niger rice irrigation region. In the fourteen years since this survey, there has been almost no research into schistosomiasis morbidity in Mali due to lack of funding. Therefore, the 2005 survey supplies near-baseline data for any future research into the treatment impacts in the area

Improvement of yam’s productivity by using human urine as fertilizer

L’alimentation des populations et la gestion des excréta constituent un défi majeur pour les pays en développement, notamment la Côte d’Ivoire. Il y a donc une nécessité d’améliorer les conditions de vie de cette population en exploitant les opportunités économiques qu’offrent les déchets, notamment l’urine. Dans ce sens, une étude sur la valorisation de l’urine en culture d’igname (Dioscorea cayenensis-rotundata) a été effectuée sur deux campagnes agricoles. Cette étude avait pour objectifs d’une part, d’évaluer les effets de l’urine sur la croissance, le développement et le rendement de l’igname et d’autre part, d’envisager les possibilités de stabiliser la production d’igname sur une même surface vu son exigence en fertilisant. Ainsi, un essai avec trois traitements (fertilisation à l’urine, fertilisation à l’engrais chimique et un témoin) a permis de montrer que les urines ont un effet significatif sur les paramètres de croissance (l’indice foliaire et la matière sèche totale) et le rendement en tubercules frais d’igname. En outre, la réplication du même essai sur le même site avec les mêmes traitements a montré que la production de l’igname demeure stable quand le sol est fertilisé à l’urine. L’urine est à promouvoir en culture d’igname pour préserver les végétations encore primaires et celles en friche vu sa forte demande et ses exigences en fertilisant

Serological Evaluation of Onchocerciasis and Lymphatic Filariasis Elimination in the Bakoye and Falémé foci, Mali

In Mali, ivermectin-based onchocerciasis elimination from the Bakoye and Falémé foci, reported in 2009–2012, was a beacon leading to policy shifting from morbidity control to elimination of transmission (EOT). These foci are also endemic for lymphatic filariasis (LF). In 2007–2016 mass ivermectin plus albendazole administration was implemented. We report Ov16 (onchocerciasis) and Wb123 (LF) seroprevalence after 24–25 years of treatment to evaluate if onchocerciasis EOT and LF elimination as a public health problem (EPHP) have been achieved

INPUT SELECTION BY EPR-MOGA

The growing availability of field data, from information and communication technologies (ICTs) in "smart'' urban infrastructures, allows data modeling to understand complex phenomena and to support management decisions. Among the analyzed phenomena, those related to storm water quality modeling have recently been gaining interest in the scientific literature. Nonetheless, the large amount of available data poses the problem of selecting relevant variables to describe a phenomenon and enable robust data modeling. This paper presents a procedure for the selection of relevant input variables using the multi-objective evolutionary polynomial regression (EPR-MOGA) paradigm. The procedure is based on scrutinizing the explanatory variables that appear inside the set of EPR-MOGA symbolic model expressions of increasing complexity and goodness of fit to target output. The strategy also enables the selection to be validated by engineering judgement. In such context, the multiple case study extension of EPR-MOGA, called MCS-EPR-MOGA, is adopted. The application of the proposed procedure to modeling storm water quality parameters in two French catchments shows that it was able to significantly reduce the number of explanatory variables for successive analyses. Finally, the EPR-MOGA models obtained after the input selection are compared with those obtained by using the same technique without benefitting from input selection and with those obtained in previous works where other data-modeling techniques were used on the same data. The comparison highlights the effectiveness of both EPR-MOGA and the input selection procedure

A Trial of Early Antiretrovirals and Isoniazid Preventive Therapy in Africa

BACKGROUND: In sub-Saharan Africa, the burden of human immunodeficiency virus (HIV)-associated tuberculosis is high. We conducted a trial with a 2-by-2 factorial design to assess the benefits of early antiretroviral therapy (ART), 6-month isoniazid preventive therapy (IPT), or both among HIV-infected adults with high CD4+ cell counts in Ivory Coast. METHODS: We included participants who had HIV type 1 infection and a CD4+ count of less than 800 cells per cubic millimeter and who met no criteria for starting ART according to World Health Organization (WHO) guidelines. Participants were randomly assigned to one of four treatment groups: deferred ART (ART initiation according to WHO criteria), deferred ART plus IPT, early ART (immediate ART initiation), or early ART plus IPT. The primary end point was a composite of diseases included in the case definition of the acquired immunodeficiency syndrome (AIDS), non-AIDS-defining cancer, non-AIDS-defining invasive bacterial disease, or death from any cause at 30 months. We used Cox proportional models to compare outcomes between the deferred-ART and early-ART strategies and between the IPT and no-IPT strategies. RESULTS: A total of 2056 patients (41% with a baseline CD4+ count of ≥500 cells per cubic millimeter) were followed for 4757 patient-years. A total of 204 primary end-point events were observed (3.8 events per 100 person-years; 95% confidence interval [CI], 3.3 to 4.4), including 68 in patients with a baseline CD4+ count of at least 500 cells per cubic millimeter (3.2 events per 100 person-years; 95% CI, 2.4 to 4.0). Tuberculosis and invasive bacterial diseases accounted for 42% and 27% of primary end-point events, respectively. The risk of death or severe HIV-related illness was lower with early ART than with deferred ART (adjusted hazard ratio, 0.56; 95% CI, 0.41 to 0.76; adjusted hazard ratio among patients with a baseline CD4+ count of ≥500 cells per cubic millimeter, 0.56; 95% CI, 0.33 to 0.94) and lower with IPT than with no IPT (adjusted hazard ratio, 0.65; 95% CI, 0.48 to 0.88; adjusted hazard ratio among patients with a baseline CD4+ count of ≥500 cells per cubic millimeter, 0.61; 95% CI, 0.36 to 1.01). The 30-month probability of grade 3 or 4 adverse events did not differ significantly among the strategies. CONCLUSIONS: In this African country, immediate ART and 6 months of IPT independently led to lower rates of severe illness than did deferred ART and no IPT, both overall and among patients with CD4+ counts of at least 500 cells per cubic millimeter. (Funded by the French National Agency for Research on AIDS and Viral Hepatitis; TEMPRANO ANRS 12136 ClinicalTrials.gov number, NCT00495651.)

Pre-hospital risk factors for inpatient death from severe febrile illness in Malian children.

BACKGROUND: Inpatient case fatality from severe malaria remains high in much of sub-Saharan Africa. The majority of these deaths occur within 24 hours of admission, suggesting that pre-hospital management may have an impact on the risk of case fatality. METHODS: Prospective cohort study, including questionnaire about pre-hospital treatment, of all 437 patients admitted with severe febrile illness (presumed to be severe malaria) to the paediatric ward in Sikasso Regional Hospital, Mali, in a two-month period. FINDINGS: The case fatality rate was 17.4%. Coma, hypoglycaemia and respiratory distress at admission were associated with significantly higher mortality. In multiple logistic regression models and in a survival analysis to examine pre-admission risk factors for case fatality, the only consistent and significant risk factor was sex. Girls were twice as likely to die as boys (AOR 2.00, 95% CI 1.08-3.70). There was a wide variety of pre-hospital treatments used, both modern and traditional. None had a consistent impact on the risk of death across different analyses. Reported use of traditional treatments was not associated with post-admission outcome. INTERPRETATION: Aside from well-recognised markers of severity, the main risk factor for death in this study was female sex, but this study cannot determine the reason why. Differences in pre-hospital treatments were not associated with case fatality

A comparison of four clustering methods for brain expression microarray data

Background DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they produce can be an obstacle to interpretation of the results. Clustering the genes on the basis of similarity of their expression profiles can simplify the data, and potentially provides an important source of biological inference, but these methods have not been tested systematically on datasets from complex human tissues. In this paper, four clustering methods, CRC, k-means, ISA and memISA, are used upon three brain expression datasets. The results are compared on speed, gene coverage and GO enrichment. The effects of combining the clusters produced by each method are also assessed. Results k-means outperforms the other methods, with 100% gene coverage and GO enrichments only slightly exceeded by memISA and ISA. Those two methods produce greater GO enrichments on the datasets used, but at the cost of much lower gene coverage, fewer clusters produced, and speed. The clusters they find are largely different to those produced by k-means. Combining clusters produced by k-means and memISA or ISA leads to increased GO enrichment and number of clusters produced (compared to k-means alone), without negatively impacting gene coverage. memISA can also find potentially disease-related clusters. In two independent dorsolateral prefrontal cortex datasets, it finds three overlapping clusters that are either enriched for genes associated with schizophrenia, genes differentially expressed in schizophrenia, or both. Two of these clusters are enriched for genes of the MAP kinase pathway, suggesting a possible role for this pathway in the aetiology of schizophrenia. Conclusion Considered alone, k-means clustering is the most effective of the four methods on typical microarray brain expression datasets. However, memISA and ISA can add extra high-quality clusters to the set produced by k-means, so combining these three methods is the method of choice

Multiconstrained gene clustering based on generalized projections

<p>Abstract</p> <p>Background</p> <p>Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constraints such as gene expressions, Gene Ontology (GO) annotations and gene network structures. How to integrate multiple pieces of constraints for an optimal clustering solution still remains an unsolved problem.</p> <p>Results</p> <p>We propose a novel multiconstrained gene clustering (MGC) method within the generalized projection onto convex sets (POCS) framework used widely in image reconstruction. Each constraint is formulated as a corresponding set. The generalized projector iteratively projects the clustering solution onto these sets in order to find a consistent solution included in the intersection set that satisfies all constraints. Compared with previous MGC methods, POCS can integrate multiple constraints from different nature without distorting the original constraints. To evaluate the clustering solution, we also propose a new performance measure referred to as Gene Log Likelihood (GLL) that considers genes having more than one function and hence in more than one cluster. Comparative experimental results show that our POCS-based gene clustering method outperforms current state-of-the-art MGC methods.</p> <p>Conclusions</p> <p>The POCS-based MGC method can successfully combine multiple constraints from different nature for gene clustering. Also, the proposed GLL is an effective performance measure for the soft clustering solutions.</p