Innate and adaptive immune responses in the intestine of camel (Camelus dromedarius) naturally infected with Mycobacterium avium subspecies paratuberculosis.

The spread of John's disease in camel herds (Camelus dromedarius) has been worldwide reported. Despite extensive studies on Mycobacterium avium subspecies paratuberculosis (MAP) infection in camels, the complete pathogenesis and epidemiology of this infection have not been fully exploited. The objective of the study is focusing on the nature of the immune responses, and the types of the recruited cells were studied in the intestine of naturally infected camels employing immunohistochemistry to analyze the expression of CD335, CD103, CD11b, and CD38 markers. Marked expression of some or all of the markers was observed in the ileum, mesenteric, and supramammary lymph nodes of the old infected camels. The expression of CD335, a well-known natural killer (NK) cell marker, was detected in the mesenteric lymph node, while the dendritic cell (DCs) marker, CD103, was markedly expressed in the villi and propria submucosa (PS) of the ileum in old infected camels. CD103 + and CD11b + DCs were detected in the mesenteric lymph nodes of young infected camels. The expression of CD38, a crucial proinflammatory marker, was more noticeable in the peripheral region of the mesenteric lymph node. The expression of these markers in the infected camel intestine was peculiar and is reported for the first time. In summary, the unique expression patterns of CD335, CD103, CD11b, and CD38 markers in naturally infected camel intestines revealed through immunohistochemistry new insights into the immune responses associated with MAP infection. These first-time observations suggest potential roles of innate and adaptive immunity, highlighting specific aspects of MAP immunopathology. Further studies with targeted tools are crucial for a precise understanding of these markers' roles in the infected intestines.

Detection of Renal Calculi in Ultrasound Image Using Meta-Heuristic Support Vector Machine.

Typically, the acquired renal ultrasound image includes a course of speckle noises. This paper primarily investigates an approach for the detection of renal calculi by processing those raw US images with the help of a meta-heuristic SVM classifier. One of the major downsides of involving Ultrasound images in medical analysis is the prevalence of Speckle Noises. An Adaptive Mean Median Filter approach has been introduced in the work to get rid of the speckle noises to the maximum extent ever in the literature. Segmentation is performed by employing conventional K-Means and GLCM features were extracted for classification using a meta-heuristic SVM classifier. The proposed methodology investigates with a Real-time Acquired Dataset of Mithra Scans, Tamilnadu, India comprises of 250 clinical Ultra-Sound Kidney Images of which 150 are having Calculi and the rest are Healthy. With the experimental results, the proposed meta-heuristic SVM classifier have performed better in noisy images while comparing with other conventional methods considered in the literature. It exhibits an Accuracy of 98.8% with a FAR rate of 1.8 for FRR as high as 3.3. The results clearly proposed that the novel AMM-PSO-SVM could be a promising technique for object or foreign body detection in a medical imaging application that uses ultrasound imaging.

Improving the Accuracy of Feature Selection in Big Data Mining Using Accelerated Flower Pollination (AFP) Algorithm.

In recent times, the main problem associated with big data analytics is its high dimensional data over the search space. Such data gathers continuously in search space making traditional algorithms infeasible for data mining in real time environment. Hence, feature selection is an important method to lighten the load during processing while inducing a model for mining. However, mining over such high dimensional data leads to formulation of optimal feature subset, which grows exponentially and leads to intractable computational demand. In this paper, a novel lightweight mechanism is used as a feature selection method, which solves the after effects arising with optimal feature selection. The feature selection in big data mining is done using accelerated flower pollination (AFP) algorithm. This method improves the accuracy of feature selection with reduced processing time. The proposed method is tested under larger set of data with high dimensionality to test the performance of proposed method.

A new approach to classify and rank events based videos based on Event of Detection.

In the ongoing days, the development of sight and sound substance and information stockpiling produces colossally. Clients can extricate any kind of data they require from recordings. This outcomes in quick development of video information, client's discover complexity while procurement their important data. To address this, EBR (Event Based Ranking) propose another way to deal with group and rank mixed media occasions based recordings as per client's advantage. Clients are generally keen on the best positioned and occasion pertinent recordings of returned query output. An occasion based positioning methodology which empowers clients to iteratively peruse the video as per their inclination. The proposed conspire has new way to deal with order and rank occasions based recordings. It improves the exactness of video recovery which incorporates certain functionalities for customized look. The data of clients' input is used in re-positioning technique to additionally enhance the recovering exactness. It gives the customized lastly re-positioned pertinent outcomes to shape a brought together precise query output. EBR is more precise in foreseeing and positioning client particular inclinations and diminishes the time many-sided quality. This Paper proposed a calculation comprises of: video rank calculation, occasion term suggestion, and client criticism and client session.

Genetic characterization, nickel tolerance, biosorption, kinetics, and uptake mechanism of a bacterium isolated from electroplating industrial effluent.

Electroplating industries in Madurai city produce approximately 49,000 L of wastewater and 1200 L of sludge every day revealing 687-5569 ppm of nickel (Ni) with other contaminants. Seventeen Ni-tolerant bacterial strains were isolated from nutrient-enriched effluents. Among them one hyper Ni accumulating strain was scored and identified as Bacillus cereus VP17 on the basis of morphology, biochemical tests, 16S rDNA gene sequencing, and phylogenetic analysis. Equilibrium data of Ni(II) ions using the bacterium as sorbent at isothermal conditions (37 °C) and pH 6 were best adjusted by Langmuir (R(2) = 0.6268) and Freundlich models (R(2) = 0.9505). Experimental validation reveals Ni sorption takes place on a heterogeneous surface of the biosorbent, and predicted metal sorption capacity is 434 ppm. The pseudo-second-order kinetic model fitted the biosorption kinetic data better than the pseudo-first-order kinetic model (R(2) = 0.9963 and 0.3625). Scanning electron microscopy, energy dispersive X-ray, and Fourier transform infrared spectroscopy studies of the bacterial strain with and without Ni(II) ion reveals the biosorption mechanism. The results conclude possibilities of using B. cereus VP17 for Ni bioremediation.

Learning style-based teaching harvests a superior comprehension of respiratory physiology.

Students entering medical college generally show vast diversity in their school education. It becomes the responsibility of teachers to motivate students and meet the needs of all diversities. One such measure is teaching students in their own preferred learning style. The present study was aimed to incorporate a learning style-based teaching-learning program for medical students and to reveal its significance and utility. Learning styles of students were assessed online using the visual-auditory-kinesthetic (VAK) learning style self-assessment questionnaire. When respiratory physiology was taught, students were divided into three groups, namely, visual (n = 34), auditory (n = 44), and kinesthetic (n = 28), based on their learning style. A fourth group (the traditional group; n = 40) was formed by choosing students randomly from the above three groups. Visual, auditory, and kinesthetic groups were taught following the appropriate teaching-learning strategies. The traditional group was taught via the routine didactic lecture method. The effectiveness of this intervention was evaluated by a pretest and two posttests, posttest 1 immediately after the intervention and posttest 2 after a month. In posttest 1, one-way ANOVA showed a significant statistical difference (P=0.005). Post hoc analysis showed significance between the kinesthetic group and traditional group (P=0.002). One-way ANOVA showed a significant difference in posttest 2 scores (P < 0.0001). Post hoc analysis showed significance between the three learning style-based groups compared with the traditional group [visual vs. traditional groups (p=0.002), auditory vs. traditional groups (p=0.03), and Kinesthetic vs. traditional groups (p=0.001)]. This study emphasizes that teaching methods tailored to students' style of learning definitely improve their understanding, performance, and retrieval of the subject.

Diagnosing and ranking retinopathy disease level using diabetic fundus image recuperation approach.

Retinal fundus images are widely used in diagnosing different types of eye diseases. The existing methods such as Feature Based Macular Edema Detection (FMED) and Optimally Adjusted Morphological Operator (OAMO) effectively detected the presence of exudation in fundus images and identified the true positive ratio of exudates detection, respectively. These mechanically detected exudates did not include more detailed feature selection technique to the system for detection of diabetic retinopathy. To categorize the exudates, Diabetic Fundus Image Recuperation (DFIR) method based on sliding window approach is developed in this work to select the features of optic cup in digital retinal fundus images. The DFIR feature selection uses collection of sliding windows with varying range to obtain the features based on the histogram value using Group Sparsity Nonoverlapping Function. Using support vector model in the second phase, the DFIR method based on Spiral Basis Function effectively ranks the diabetic retinopathy disease level. The ranking of disease level on each candidate set provides a much promising result for developing practically automated and assisted diabetic retinopathy diagnosis system. Experimental work on digital fundus images using the DFIR method performs research on the factors such as sensitivity, ranking efficiency, and feature selection time.

The entrapped and unravelled coronary wire.

No abstract available.

Programmatic implications of a sub-national TB prevalence survey in India.

Subnational TB estimates are crucial for making informed decisions to tailor TB control activities to local TB epidemiology.A cross-sectional survey was conducted among 143,005 individuals in Tamil Nadu, India. Participants were screened for symptoms and underwent chest X-ray (CXR). Participants with symptoms of TB and/or abnormal CXR were tested for TB using Xpert, smear, and liquid culture.The prevalence of microbiologically confirmed pulmonary TB (MCPTB) was 212 (95% CI 184-239) per 100,000 population. The prevalence-to-notification ratio (P:N) in the state was 2.05 (95% CI 1.8-2.29). Low body mass index and diabetes together had a population attributable fraction of 54.15 (95% CI 45.68-61.97). Approximately 39% of the TB cases were asymptomatic and were identified only by CXR screening. In the general population, only 26.9% sought care at a health facility among those with symptoms suggestive of TB.The programme needs to prioritise screening with CXR to potentially detect cases earlier and curtail the transmission and upscale molecular tests in the selected population to increase the yield of case finding. Innovative health education strategies must be devised to address health-seeking behaviour..

Establishing proof of concept for utility of Trueprep®-extracted DNA in line-probe assay testing.

BACKGROUND AND OBJECTIVES: With an increased demand for rapid, diagnostic tools for TB and drug resistance detection, Truenat® MTB-RIF assay has proven to be a rapid point of care molecular test. The present study aimed to establish a proof of concept of using Trueprep-extracted DNA for line-probe assay (LPA) testing.METHODS: A total of 150 sputum samples (MTB-positive at Truenat sites) were divided into two aliquots. One aliquot was used for DNA extraction using the Trueprep device and MTB testing. The second aliquot of the sample was subjected to GenoLyse® DNA extraction. DNA from both the Trueprep and GenoLyse methods was subjected to first-line (FL) and second-line (SL) LPA testing.RESULTS: Of 139 Trueprep-extracted DNA, respectively 135 (97%) and 105 (75%) had interpretable results by FL and SL-LPA testing. Of 128 GenoLyse-extracted DNA, all 128 (100%) had interpretable FL-LPA results and 114 (89%) had interpretable SL-LPA results.CONCLUSION: The results obtained in this study indicate that Trueprep-extracted DNA can be used in obtaining valid LPA results. However, the study needs to be conducted on a larger sample size before our recommendations can be used for policy-making decisions.

Mixed Giardia duodenalis assemblage infections in children and adults in South India.

The assemblages of Giardia duodenalis in 25 children with and 25 children without diarrhoea and 24 adults with gastrointestinal symptoms in South India were determined. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) targeting the glutamate dehydrogenase (gdh), ß-giardin and triosephosphate isomerase (tpi) genes was used. The tpi PCR was the most sensitive and detected G. duodenalis in all 74 microscopy-positive samples, while gdh and ß-giardin PCR were positive in 62·2% and 56·8% of the samples. Assemblage B was predominant in both children and adults (82·4%) followed by assemblage AII (9·4%); assemblage AI was not detected. Infections with both assemblages A and B (detected by tpi PCR-RFLP) were seen exclusively in children and the mixed assemblage BIII and BIV (detected by gdh PCR-RFLP) was more common in children than adults (P=0·058).

Adsorption of heavy metals from the aqueous solution using activated biomass from Ulva flexuosa.

The removal of various highly toxic heavy metals from wastewater environment is an important task to improve environment. The biosorption potential of cadmium, cobalt and zinc was evaluated using Ulva flexuosa biomass. The impacts of adsorbent dosage, pH of the medium, contact time, and agitation speed were analyzed. The maximum biosorption potential was reached at pH 4.0, 0.4 g initial biosorbent dosage, contact time 40 min and 30 mg/L initial metal concentration for cadmium, while the other factors were similar to zinc, except 35 min contact time (p < 0.01). The optimum absorption was pH 4, 0.6% adsorbent dosage, after 30 min contact time with the heavy metals and 40 mg/L cobalt concentration. Heavy metal removal efficiency was 94.8 ± 3.3%, 87.5 ± 2.3%, and 90.8 ± 1.4%, for cadmium, cobalt, and zinc, respectively (p < 0.01). The Langmuir constant (R2) was 0.980 for cadmium, 0.838 for cobalt and it was 0.718 for zinc. The present results revealed that the selected acid modified biomass was highly suitable for the adsorption of metal ions such as, Cd2+, Co2+ and Zn2+. The present work revealed the potential application of algal biomass for the removal of various heavy metals from the environment.

Medical decision-making system of ultrasound carotid artery intima-media thickness using neural networks.

The objective of this work is to develop and implement a medical decision-making system for an automated diagnosis and classification of ultrasound carotid artery images. The proposed method categorizes the subjects into normal, cerebrovascular, and cardiovascular diseases. Two contours are extracted for each and every preprocessed ultrasound carotid artery image. Two types of contour extraction techniques and multilayer back propagation network (MBPN) system have been developed for classifying carotid artery categories. The results obtained show that MBPN system provides higher classification efficiency, with minimum training and testing time. The outputs of decision support system are validated with medical expert to measure the actual efficiency. MBPN system with contour extraction algorithms and preprocessing scheme helps in developing medical decision-making system for ultrasound carotid artery images. It can be used as secondary observer in clinical decision making.

In-vitro antimicrobial susceptibility pattern of lipopeptide against drug resistant Vibrio species.

BACKGROUND: The unrestricted application of antibiotics increased antimicrobial resistance in bacteria through horizontal gene transfer of resistant genes from the pathogenic sources and the evolution of multi-drug resistance organisms. The application of antibiotics caused severe risk to human health because animals may transmit diseases to humans. Hence, the search of novel antimicrobial agents from microbial sources is an urgent need. METHODS: A lipopeptide producing stain SU05 was isolated from the pond water by serial dilution method. The lipopeptide yield was improved after optimization method and the yield was analyzed using High Performance Liquid chromatography. The influence of wheat bran (0.5%-2.5%) and rice bran (0.5%-2.5%), pH (5.5-8.5), temperature (25-40 °C) were screened to improve the production of lipopeptides by stain SU05 in submerged fermentation. Antibacterial activity of crude lipopeptide was tested against Vibrio anguillarum, Vibrio harveyi, Vibrio vulnificus, Vibrio salmonicida, Vibrio septicus, Vibrio fischeri, and Vibrio splendidus. The influence of lipopeptide on enzymes and antimicrobial property was analyzed. RESULTS: Lipopeptide production was improved after nutrient supplements and optimization of physical factors. Lipopeptide showed potent activity against multi-drug resistant bacterial strains such as, V. anguillarum, V. harveyi, V. vulnificus, V. salmonicida, V. septicus, V. fischeri, and V. splendidus. Lipopeptide shows stability on various enzymes and this clearly revealed that the purified lipopeptide was highly stable in the presence of proteolytic enzymes. The findings suggest that lipopeptide SU05 characterized from the bacteria can survive at acidic environment in the intestine, and could be used to formulate fish feed. CONCLUSIONS: The finding showed that the characterized lipopepties synthesized by B. amyloliquefaciens SU05 had a broad spectrum antibiotic potential against multidrug resistant Vibriosis causing bacterial pathogens. They were highly stable at broad temperature and pH ranges. These results demonstrated stability of lipopeptide at extreme conditions. The stability and activity of lipopeptide at extreme climatic condition is also useful for the application in pharmaceutical and food processing industries.

Closing the diarrhoea diagnostic gap in Indian children by the application of molecular techniques.

A large proportion of diarrhoeal illnesses in children in developing countries are ascribed to an unknown aetiology because the only available methods, such as microscopy and culture, have low sensitivity. This study was aimed at decreasing the diagnostic gap in diarrhoeal disease by the application of molecular techniques. Faecal samples from 158 children with and 99 children without diarrhoea in a hospital in South India were tested for enteric pathogens using conventional diagnostic methods (culture, microscopy and enzyme immunoassays) and molecular methods (six PCR-based assays). The additional use of molecular techniques increased identification to at least one aetiological agent in 76.5 % of diarrhoeal specimens, compared with 40.5 % using conventional methods. Rotavirus (43.3 %), enteropathogenic Escherichia coli (15.8 %), norovirus (15.8 %) and Cryptosporidium spp. (15.2 %) are currently the most common causes of diarrhoea in hospitalized children in Vellore, in contrast to a study conducted two decades earlier in the same hospital, where bacterial pathogens such as Shigella spp., Campylobacter spp. and enterotoxigenic E. coli were more prevalent. Molecular techniques significantly increased the detection rates of pathogens in children with diarrhoea, but a more intensive study, testing for a wider range of infectious agents and including more information on non-infectious causes of diarrhoea, is required to close the diagnostic gap in diarrhoeal disease.

Seroepidemiological study on hantavirus infections in India.

Hantaviruses are etiological agents of hemorrhagic fever with renal syndrome in many parts of Asia and Europe. There has been no documented case of hantavirus disease from India, although serological evidence exists. We investigated the prevalence of hantavirus in the Indian population and tried to identify potential risk groups for hantavirus infections. The presence of hantavirus-specific IgG antibodies was prospectively evaluated in 661 subjects belonging to different groups, i.e. patients with chronic renal disease, warehouse workers and tribal members engaged in rodent trapping. Healthy volunteer blood donors were included as a control group. Thirty-eight seropositive samples were found using a combination of a commercial ELISA followed by an indirect immunofluorescence assay. Western blot using recombinant Hantaan virus nucleocapsid antigen confirmed the presence of anti-hantavirus IgG in 28 (74%) of the 38 sera tested. This study confirms the presence of hantaviruses in India and warrants increasing awareness of the problems of emerging pathogens and the threats they may pose to the public health system.

Effect of mangiferin on benzo(a)pyrene induced lung carcinogenesis in experimental Swiss albino mice.

The present study is an effort to identify a potent chemopreventive agent against cancer, in which oxidative stress plays an important causative role. The modulatory effect of mangiferin on mitochondrial lipid peroxidation (LPO), tricarboxylic acid (TCA) cycle key enzymes and electron transport chain complexes was investigated against lung carcinogenesis induced by benzo(a)pyrene (50 mg kg(-1) b/w orally) in Swiss albino mice. Decreased activities of electron transport chain complexes and TCA cycle key enzymes such as isocitrate dehydrogenase (ICDH), succinate dehydrogenase (SDH), malate dehydrogenase (MDH) and alpha-ketoglutarate dehydrogenase (alpha-KGDH), in lung cancer bearing animals were observed. Pre- and post-treatment with mangiferin (100 mg kg(-1) b/w orally) for 18 weeks, prevented the above biochemical changes, which were inclined towards normal control animal values. This study further confirms the chemopreventive and chemotherapeutic effect of mangiferin and these results are consistent with our hypothesis that mangiferin is a promising chemopreventive agent.

Diagnostic utility of serologic markers for genital chlamydial infection in STD patients in Chennai, India.

OBJECTIVES: To evaluate the diagnostic utility of serological markers for C. trachomatis in different clinical groups of STD patients. METHODS: Blood and genital swab specimens were collected from symptomatic STD patients (n=143) attending the STD out patient clinic at the Institute of STDs, Government General hospital, Chennai who enrolled for the study. Serological determination for IgM, IgA and IgG antibodies to C. trachomatis was done using commercial kits. PCR analysis was performed on genital swab samples by using plasmid and major outer membrane protein (MOMP) based primers and patients who were positive by both PCR assays were considered as proven cases of C. trachomatis infection. The serological marker positivity was analysed with PCR positivity. RESULTS: Serologic positivity by IgM, IgA and IgG was 22.4%, 28.7% and 58.7% respectively. The PCR analysis showed 44 (30.8%) cases with confirmed C. trachomatis infection. Seropositivity for IgM (34.1% (15/44) vs. 17.2% (17/99); P<0.05) as well as for IgA (40.9% (18/44) vs. 23.2% (23/99); P<0.05) significantly correlated to PCR positivity, while significant correlation was not seen with IgG positivity. The overall seropositivity (IgM/IgA/IgG) in the study population was 68.5%. CONCLUSIONS: The observations of the present study indicate a high exposure rate to chlamydial infection in STD clinic patients in India. The study also suggests the usefulness of serology instead of PCR to trace chlamydial etiology, especially in deep-seated upper genital tract diseases and to facilitate better clinical management as there was good correlation between serology and PCR positivity.