The power of data mining in diagnosis of childhood pneumonia

Childhood pneumonia is the leading cause of death of children under the age of five globally. Diagnostic information on presence of infection, severity and aetiology (bacterial versus viral) is crucial for appropriate treatment. However, the derivation of such information requires advanced equipment (such as X-rays) and clinical expertise to correctly assess observational clinical signs (such as chest indrawing); both of these are often unavailable in resource-constrained settings. In this study, these challenges were addressed through the development of a suite of data mining tools, facilitating automated diagnosis through quantifiable features. Findings were validated on a large dataset comprising 780 children diagnosed with pneumonia, and 801 age-matched healthy controls. Pneumonia was identified via four quantifiable vital signs (98.2% sensitivity and 97.6% specificity). Moreover, it was shown that severity can be determined through a combination of three vital signs and two lung sounds (72.4% sensitivity and 82.2% specificity); addition of a conventional biomarker (Creactive protein) further improved severity predictions (89.1% sensitivity and 81.3% specificity). Finally, we demonstrated that aetiology can be determined using three vital signs and a newly proposed biomarker (Lipocalin-2) (81.8% sensitivity and 90.6% specificity). These results suggest that a suite of carefully designed machine learning tools can be used to support multi-faceted diagnosis of childhood pneumonia in resource-constrained settings, compensating for the shortage of expensive equipment and highly trained clinicians

Setting-up of the Database on the Nucleotide Sequences of the Genomes of the Strains of Bacterial and Viral Infections Agents of the I–II Pathogenicity Groups

Set-up is database containing characteristics of variable tandem repeats, oligo-nucleotide primers and probes of the genomes of the strains bacterial and viral infections agents of the I-II pathogenicity groups. It allows for accumulation of information on genome regions. Using the incorporated VBA one can rapidly analyze the data and carry out substantiated calculation of gene-diagnostic preparations based on various PCR frameworks

Current State of Dengue Fever Laboratory Diagnostics (Scientific Review)

The paper contains the data on the distribution, morphology and classification of Dengue viruses as well as laboratory diagnostics of the diseases caused by them using conventional and modern virology methods. Discussed is the possibility of application of various laboratory techniques at different stages from the onset of the disease. In addition, up to date cases of Dengue fever importation into the territory of the Russian Federation are becoming more frequent which testifies to the need of the development of domestically produced test-system, as well as introduction of modern technologies of virus isolation on the biological model or cell culture into the practice of plague control institutions

2.4-Å structure of the double-ring Gemmatimonas phototrophica photosystem.

Phototrophic Gemmatimonadetes evolved the ability to use solar energy following horizontal transfer of photosynthesis-related genes from an ancient phototrophic proteobacterium. The electron cryo-microscopy structure of the Gemmatimonas phototrophica photosystem at 2.4 Å reveals a unique, double-ring complex. Two unique membrane-extrinsic polypeptides, RC-S and RC-U, hold the central type 2 reaction center (RC) within an inner 16-subunit light-harvesting 1 (LH1) ring, which is encircled by an outer 24-subunit antenna ring (LHh) that adds light-gathering capacity. Femtosecond kinetics reveal the flow of energy within the RC-dLH complex, from the outer LHh ring to LH1 and then to the RC. This structural and functional study shows that G. phototrophica has independently evolved its own compact, robust, and highly effective architecture for harvesting and trapping solar energy

2.4-Å structure of the double-ring Gemmatimonas phototrophica photosystem.

Phototrophic Gemmatimonadetes evolved the ability to use solar energy following horizontal transfer of photosynthesis-related genes from an ancient phototrophic proteobacterium. The electron cryo-microscopy structure of the Gemmatimonas phototrophica photosystem at 2.4 Å reveals a unique, double-ring complex. Two unique membrane-extrinsic polypeptides, RC-S and RC-U, hold the central type 2 reaction center (RC) within an inner 16-subunit light-harvesting 1 (LH1) ring, which is encircled by an outer 24-subunit antenna ring (LHh) that adds light-gathering capacity. Femtosecond kinetics reveal the flow of energy within the RC-dLH complex, from the outer LHh ring to LH1 and then to the RC. This structural and functional study shows that G. phototrophica has independently evolved its own compact, robust, and highly effective architecture for harvesting and trapping solar energy

Development of score models for severe course risk assessment of febrile form of tick-borne encephalitis

Background. There is no current generally accepted classification and clinical approaches to assess the clinical course severity of tick-borne encephalitis.   The aim is to develop models for the quantitative severity scores of the febrile form of tick-borne encephalitis using the most informative predictors.   Materials and methods. In accordance with clinical criteria of the height and duration of fever, two groups of 9 and 30 patients (52.2 ± 4.3 and 49.5 ± 3.9 years old) with severe and non-severe febrile form of tick-borne encephalitis were formed. The study design was a retrospective case-control study. Statistical significance assessment of variables was carried out using the chi-square test. The odds ratios were also calculated. The development of logistic regression models was carried out using Statistica 12.0 modules.   Results. A questionnaire of febrile form of tick-borne encephalitis severity score was developed using the height of fever and 11 most informative clinical predictors including arthralgia, chills, sleep disturbance, dizziness, orbital pain, nausea, photophobia, myalgia, severe headache, vomiting and meningism. To predict the severe clinical course of febrile form of tick-borne encephalitis, two logistic regression models were developed with or without severity score assessment of fever syndrome (coefficients α and β were –12.13 and 0.94 and –5.78 and 0.75 for models 1 and 2, respectively). Models 1 and 2 demonstrated a high predicted probability for cut-off values equal to 14 and 9 points and excellent quality of prediction test (AUC are equal to 0.99 and 0.98, respectively).   Conclusions. The models of severity score demonstrated high predicted probabilities to predict severe clinical course of febrile form of tick-borne encephalitis, which can be used in clinical practice and for scientific purposes

Detection of Specific Antibodies to Arboviruses in Blood Sera of Persons Residing in Kindia Province, the Republic of Guinea

The aim of the work was to detect specific antibodies to West Nile, dengue, CCHF, and chikungunya viruses in blood sera of Guinean Kindia Province residents.Materials and methods. The obtained sera were analyzed in ELISA to discover IgG antibodies to abovementioned viruses.Results and conclusions. Detected were 267 (82 %) positive samples out of 326, containing immunoglobulins of G class to these arboviruses. The obtained data provide evidence for active circulation of dengue and West Nile fevers agents in this territory. Further studies of immune strata of the population, and possible carriers and vectors of arboviruses were demonstrated to be advisable for optimization of approaches to prophylactic (anti-epidemic) measures implementation

Studies of West Nile Virus Circulation in the Territory of the Saratov Region in 2010

Presented are the results of ecological and epizootiological surveillance of the territory of the Saratov region, which was carried out in autumn of 2010. The surveillance was aimed at detection of West Nile (WN) virus circulation and premises for WN Fever natural focus formation. It is demonstrated that in 2010 WN virus circulation took place in damp biotopes of the Saratov region territory, and that common species of small mammals were involved in it. Presented are the results of analysis of the WN virus role in the infectious pathology in the territory of the Saratov region