A Comparative Study Between Cytomegalovirus Immunoglobulin M-Positive and CMV Immunoglobulin M-Negative Biliary Atresia in Infants Attending a Tertiary Care Hospital in Bangladesh

Sharmin Akter,A S M Bazlul Karim,Md Wahiduzzaman Mazumder,Md Rukunuzzaman,Khan Lamia Nahid,Bishnu Pada Dey,Maimuna Sayeed,A Z M Raihanur Rahman,Kaniz Fathema,Mukesh Khadga 대한소아소화기영양학회 2022 Pediatric gastroenterology, hepatology & nutrition Vol.25 No.5

Purpose: Perinatal cytomegalovirus (CMV) infection can lead to biliary atresia (BA) in different entities. This study aimed to compare the clinical, hematological, biochemical, and histological features of infants with BA based on their CMV immunoglobulin M (IgM) status at presentation. Methods: This cross-sectional descriptive study was carried out between January 2019 and June 2020 at the Department of Pediatric Gastroenterology and Nutrition at the Bangabandhu Sheikh Mujib Medical University (BSMMU) in Dhaka. Forty-three patients with BA were selected purposively and categorized into either the CMV IgM-positive or CMV IgM-negative BA group. Categorical variables were compared using Fisher’s exact test and chi-square tests, while the Student’s t-test and Mann–Whitney U-test were used to compare continuous variables. For all statistical tests, a p-value <0.05 was considered statistically significant. Results: Thirty-three (76.7%) of the cases were between 2 and 3 months of age on admission. The clinical, hematological, and biochemical parameters did not differ significantly between the CMV IgM-positive and CMV IgM-negative BA groups. Most (50.0%) of the CMV IgM-positive cases had fibrosis stage F2, while 43.5% of the CMV IgM-negative cases had fibrosis stage F3, with no significant difference between the groups (p=0.391). Conclusion: Our data shows no significant distinction between CMV IgM-positive and CMV IgM-negative BA, suggesting that CMV does not contribute to BA pathogenesis.

Assessment of Genetic Variability in Two North Indian Buffalo Breeds Using Random Amplified Polymorphic DNA (RAPD) Markers

Sodhi, M.,Mukesh, M.,Anand, A.,Bhatia, S.,Mishra, B.P. Asian Australasian Association of Animal Productio 2006 Animal Bioscience Vol.19 No.9

Murrah and NiliRavi are the important North Indian buffalo breeds occupying the prominent position of being the highest milk producers. These breeds are more or less similar at morphological as well as physiological levels. The technique of RAPD-PCR was applied in the present study to identify a battery of suitable random primers to detect genetic polymorphism, elucidation of the genetic structure and rapid assessment of the differences in the genetic composition of these two breeds. A total of 50 random primers were screened in 24 animals each of Murrah and NiliRavi buffaloes to generate RAPD patterns. Of these, 26 (52%) primers amplified the buffalo genome generating 263 reproducible bands. The number of polymorphic bands for the 26 chosen RAPD primers varied from 3 (OPG 06 and B4) to 26 (OPJ 04) with an average of 10.1 bands per primer and size range of 0.2 to 3.2 kb. DNA was also pooled and analyzed to search for population specific markers. Two breed specific RAPD alleles were observed in each of Murrah (OPA02 and OPG16) and NiliRavi (OPG09) DNA pools. RAPD profiles revealed that 11 (4.2%) bands were common to all the 48 individuals of Murrah and NiliRavi buffaloes. Pair-wise band sharing calculated among the individual animals indicated considerable homogeneity of individuals within the breeds. Within breed, band sharing values were relatively greater than those of interbreed values. The low genetic distance (Nei's) value (0.109) estimated in this study is in accordance with the origin and geographical distribution of these breeds. The RAPD analysis indicated high level of genetic similarity between these two important North Indian buffalo breeds.

Kinetics and diffusion studies in urease-alginate biocatalyst beads

Nakarani, Mukesh,Kayastha, Arvind M Kyung Hee Oriental Medicine Research Center 2007 Oriental pharmacy and experimental medicine Vol.7 No.1

Urease was immobilized with calcium alginate by entrapment method in the form of spherical beads and stored in Tris/acetate buffer (pH 7.3) at $4^{\circ}C$. Urease immobilized at different concentration of alginate beads (3%, 4% and 5%) showed higher apparent $K_{m}$ values than the soluble urease. Furthermore, $K_{m}$ has been shown to be corelated with effective diffusion coefficient (De) at different concentration of alginate gel. The present study showed that diffusion and reaction contribute to control the overall rate.

Kinetics and diffusion studies in urease-alginate biocatalyst beads

Mukesh Nakarani,Arvind M Kayastha 경희대학교 융합한의과학연구소 2007 Oriental Pharmacy and Experimental Medicine Vol.7 No.1

Urease was immobilized with calcium alginate by entrapment method in the form of spherical beads and stored in Tris/acetate buffer (pH 7.3) at 4ºC. Urease immobilized at different concentration of alginate beads (3%, 4% and 5%) showed higher apparent Km values than the soluble urease. Furthermore, Km has been shown to be corelated with effective diffusion coefficient (De) at different concentration of alginate gel. The present study showed that diffusion and reaction contribute to control the overall rate.

Highly efficient gold nanorods assisted laser phototherapy for rapid treatment on mice wound infected by pathogenic bacteria

M. Shahnawaz Khan,Mukesh L. Bhaisare,Judy Gopal,Hui-Fen Wu 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.36 No.-

Treatment of wound infection is one of the most challenging problems to be addressed in infectiouslymicrobiological world. This is mainly due to the pathogen’s ability for fast mutation and generatingseverely antibiotic resistance to antimicrobial treatment. Pathogens causing wound infection treated byphotothermal methods can avoid drug resistance problem. Beside, rapid and highly effective woundtreatment method in modern medical technology is extremely required. Therefore, we have proposed anovel method by using gold nanorods (Au NRs) to assist the Nd-YAG laser (1064 nm) for photothermalkilling pathogenic bacteria (Pseudomonas aeruginosa) for directly healing the wound infection on the(albino) mice. In all experiments, the bacteria numbers were calculated by the plate count method andwe also used MALDI-MS to evaluate the effectiveness of the treatment and the physiological condition ofwound infection. The current approach can be used to control severe skin infections from antibioticresistant pathogens in wounds.

Effect of Follicular Fluid Proteins and Gonadotropins on Progesterone Secretion by Buffalo Granulosa Cells In vitro

Vinze, Mukesh,Sharma, M.K.,Singh, Dheer Asian Australasian Association of Animal Productio 2004 Animal Bioscience Vol.17 No.11

In the mammalian ovary the follicular fluid contains proteins and peptides which play an important role in growth, development and maturation of oocytes. The gonadotropins and some other factors work synergistically and regulate ovarian functions. In the present study the effect of follicular fluid proteins (FFP) and gonadotropins on progesterone secretion by granulosa cells (GC) from buffalo ovary, was investigated during culture. The follicular fluid was collected from small (<5 mm), and medium (5-8 mm) follicles obtained from buffalo ovaries. The follicular fluid from medium follicles was fractionated with ammonium sulphate at 80% saturation. The precipitated protein fraction was further resolved in to minor (peaks I, III) and major (peak II) proteins using gel filtration (Sephadex G-200). The FFP from small follicles and major FFP (peak II) at a dose of 200 $\mu$g/well, significantly stimulated progesterone secretion by pooled GC (3${\times}10^{5}$ cells/2 ml medium/well). The minor FFP did not show any stimulatory effect. There was a significant increase in progesterone secretion by pooled GC in presence of FFP and LH (10 ng/well), however, FSH (20 ng/well) with FFP exhibited an inhibitory effect. The major FFP and gonadotropins were also studied for their effect on progesterone production by GC isolated from medium and large size follicles. The GC from medium follicles were more responsive to FSH and FFP whereas GC from large follicles exhibited enhanced progesterone secretion with LH and FFP. These results indicated that FFP have their own stimulatory effect and also act synergistically with gonadotropins. The significantly different response shown by GC, for steroid hormone secretion, is based on their stage of growth and differentiation. The purification and characterization of such steroidogenic proteins may help in elucidating their role in growth and differentiation of granulosa cells.

A community computational challenge to predict the activity of pairs of compounds

Bansal, Mukesh,Yang, Jichen,Karan, Charles,Menden, Michael P,Costello, James C,Tang, Hao,Xiao, Guanghua,Li, Yajuan,Allen, Jeffrey,Zhong, Rui,Chen, Beibei,Kim, Minsoo,Wang, Tao,Heiser, Laura M,Realubit Nature Publishing Group, a division of Macmillan P 2014 Nature biotechnology Vol.32 No.12

Recent therapeutic successes have renewed interest in drug combinations, but experimental screening approaches are costly and often identify only small numbers of synergistic combinations. The DREAM consortium launched an open challenge to foster the development of in silico methods to computationally rank 91 compound pairs, from the most synergistic to the most antagonistic, based on gene-expression profiles of human B cells treated with individual compounds at multiple time points and concentrations. Using scoring metrics based on experimental dose-response curves, we assessed 32 methods (31 community-generated approaches and SynGen), four of which performed significantly better than random guessing. We highlight similarities between the methods. Although the accuracy of predictions was not optimal, we find that computational prediction of compound-pair activity is possible, and that community challenges can be useful to advance the field of in silico compound-synergy prediction.

Knowledge Based Recommender System for Disease Diagnostic and Treatment Using Adaptive Fuzzy-Blocks

Navin K,Mukesh Krishnan M. B 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.2

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

Exploring 16 years changing dynamics for land use/land cover in Pearl City (Thoothukudi) with spatial technology

T. Immanuvel David,M. V. Mukesh,S. Kumaravel,G. Ramesh,R. Premkumar 대한공간정보학회 2017 Spatial Information Research Vol.25 No.4

Land use land cover (LU/LC) changes over the period are essential to understand the development of human activities within a region to define the impact of anthropogenic and natural activities. The virtual assessment of LU/LC changes between 2000 and 2016 is carried out in Pearl City (Thoothukudi) using Remote-Sensing data and GIS tool. This change detection is done by 15 m resolution cloud-free Advanced Spaceborne Thermal Emission and Reflection Radiometer data captured during the year 2000 and 2016. The dynamic changes depict the major land use features like settlements, saltpan, crop land, vegetation, barren and water body from satellite data through supervised classifications of a maximum likelihood algorithm. The classified images highlight a series of constructive results in settlement (4.30%), vegetation (4.00%), saltpan (0.24%) and pessimistic results in barren land (-7.68%), crop land (-0.64%) and water body (-0.23%) respectively. The study recommends that urbanization of settlement land usage is highly mobilized in Thoothukudi coastal areas.

RADAR level measurement in Joule heated ceramic melter: A novel technique

Suneel, G.,Mahashabde, Mukesh,Borkotoky, Ritusmita,Sharma, Nitin Kumar,Pradeep, M.P.,Gayen, J.K.,Pimparkar, H.R.,Ravi, K.V. Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.4

The current study relates to RADAR (RAdio Detection and Ranging) application for level measurement of vitrified radioactive liquid nuclear waste. The vitrification of radioactive liquid waste is carried out in special equipment called 'Melters'. The study is directed towards the design and frequency modulation used in the level measurement of vitrified waste. More specifically, the RADAR design and frequency used for level measurement in a melter. This level measurement technique can also be used for dynamic vitrification process and can be used to measure the level variations without using any external medium/material and using only electromagnetic waves. Also, this technique is durable and accurate even under the high radioactive environment present inside the melter.