Association of SUMO4 M55V Polymorphism with Autoimmune Diabetes in Latvian Patients

SEDIMBI, S. K,SHASTRY, A.,PARK, Y.,RUMBA, I.,SANJEEVI, C. B Wiley (Blackwell Publishing) 2006 Annals of the New York Academy of Sciences Vol.1079 No.1

<P>Small ubiquitin-related modifier (SUMO4), located in IDDM5, has been identified as a potential susceptibility gene for type 1 diabetes mellitus (T1DM). The novel polymorphism M55V, causing an amino acid change in the evolutionarily conserved met55 residue has been shown to activate the nuclear factor kappaB (NF-kappaB), hence the suspected role of SUMO4 in the pathogenicity of T1DM. The M55V polymorphism has been shown to be associated with susceptibility to T1DM in Asians, but not in Caucasians. Latent autoimmune diabetes in adults (LADA) is a slowly progressive form of T1DM and SUMO4 M55V has not been studied in LADA to date. The current study aims to test whether Latvians are similar to Caucasians in susceptibility to autoimmune diabetes (T1DM and LADA), with respect to SUMO4 M55V. We studied, age- and sex-matched, Latvian T1DM patients (n = 100) and healthy controls (n = 90) and LADA patients (n = 45) and healthy controls (n = 95). SUMO4 M55V polymorphism was analyzed using polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP). The allelic frequencies of the A and G alleles were compared with HLA DR3-DR4-positive and HLA DR3-DR4-negative patients to identify any potential relation between HLA DR3-DR4 and SUMO4 M55V. We found no significant association between SUMO4 M55V and T1DM susceptibility in Latvians, the results being in concurrence with the previous studies in Caucasians of British and Canadian origin. Comparison of the A and G alleles with HLA DR3-DR4 did not result in any significant P values. No significant association was found between SUMO4 M55V and LADA. SUMO4 M55V is not associated with susceptibility to T1DM and LADA in Latvians, and Latvians exhibit similarity to other Caucasians with respect to association of SUMO4 M55V with autoimmune diabetes.</P>

Nanotube deposition in a continuous arc reactor for varying arc gap and substrate temperature

Hamdan M. Yusoff,Rahul Shastry,Thomas Querrioux,John Abrahamson 한국물리학회 2006 Current Applied Physics Vol.6 No.3

A new continuous method for producing mounted carbon nanotubes (CNT) has been developed using the arc discharge method, in which a woven carbon substrate is used as a carbon source. In the process, carbon nanotubes grow on the fibres of the carbon substrate during the arc discharge. The method used differs from the conventional arc discharge method in that it deposits on the anode using low current (less than 20 A), with inter-electrode gaps of more than 5 mm and is run at atmospheric pressure, so that the substrate can be continuously fed and recovered. The aim of this work was to study the effect of the physical parameters of the arc on substrate surface temperature and on the CNT growth there. The effects of arc gap and buffer gas flow through the anodic substrate were investigated. An optical pyrometric technique was used to determine the substrate surface temperature. It was found that carbon nanotube growth was favoured over the temperature range 3600–3700 ± 50 K and not favoured at higher temperatures of 3800–4000 ± 50 K. This indicates that CNT growth is unlikely to be due to vaporization/condensation of small molecular carbon species.

Green synthesis of Lead–Nickel–Copper nanocomposite for radiation shielding

Chandrika B.M.,Manjunatha Holaly Chandrashekara Shastry,Munirathnam R.,Sridhar K.N.,Seenappa L.,Manjunatha S.,Lourduraj A.J. Clement 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.12

For the first time Pb, Ni, and Cu nanocomposites were synthesized by versatile solution combustion synthesis using extract as a reducing agent, to study the potential applications in X-ray/gamma, neutron, and Bremsstrahlung shielding. The synthesized Lead–Nickel–Copper (LNC) nanocomposites were characterized by PXRD, SEM, UV–VIS, and FTIR for the confirmation of successful synthesis. PXRD analysis confirmed the formation of multiphase LNC NCs and the Scherrer equation and the W-H plot gave the average crystal sizes of 19 nm and 17 nm. Surface morphology using SEM and EDX confirmed the presence of LNC NCs. Strong absorption peaks were analyzed by UV visible spectroscopy and the direct energy gap is found to be 3.083 eV. Functional groups present in the LNC NCs were analyzed by FTIR spectroscopy. X-ray/gamma radiation shielding properties were measured using NaI(Tl) detector coupled with MCA. It is found to be very close to Pb. Neutron shielding parameters were compared with traditional shielding materials and found LNC NCs are better than lead and concrete. Secondary radiation shielding known as Bremsstrahlung shielding characteristics also studied and found that LNC NCs are best in secondary radiation shielding. Hence LNC NCs find shielding applications in ionizing radiation such as X-ray/gamma and neutron radiation

Evaluation of Bacopa monniera for its Synergistic Activity with Rivastigmine in Reversing Aluminum-Induced Memory Loss and Learning Deficit in Rats

Agadi Hiremath Thippeswamy,Mohamed Rafiq,Gollapalle Lakshminarayana shastry Viswa,Kethaganahalli J. Kavya,Suryakanth D. Anturlikar,Pralhad S. Patki 사단법인약침학회 2013 Journal of Acupuncture & Meridian Studies Vol.6 No.4

The objective of this study was to evaluate the synergistic activity of Bacopa monniera with Rivastigmine against aluminum-chloride (AlCl3)-induced cognitive impairment in rats. Adult male Wistar rats were divided into ten groups (n = 10) and subjected to their assigned treatments for 42 days. On the 20th day of the respective drug treatments, all the animals were trained in the Morris water maze (retention latency) and the elevated plus maze (transfer latency). After the initial training, the retention latency (RL) and the transfer latency (TL) were evaluated on the 21st and the 42nd days of the study. Chronic administration of AlCl3 caused significant memory impairment associated with increased RL in the Morris water maze task and increased TL in the elevated plus maze test. Interestingly, animals treated with oral administration of B. monniera (100 and 200 mg/kg), Rivastigmine (5 mg/kg) or a combination of B. monniera (100 mg/kg) with Rivastigmine (5 mg/kg) showed significant protection against AlCl3-induced memory impairment compared to animal treated with AlCl3 per se. Additionally, the neuroprotective effect of B. monniera (100 and 200 mg/kg) was significantly improved when supplemented with Rivastigmine (5 mg/kg). These findings suggest that treatment with a combination of B. monniera with Rivastigmine may be highly beneficial compared to their per-se treatment.

Synthesis, physical, optical and radiation shielding properties of Barium-Bismuth Oxide Borate-A novel nanomaterial

Chandrika B.M.,Manjunatha Holaly Chandrashekara Shastry,Sridhar K.N.,Ambika M.R.,Seenappa L.,Manjunatha S.,Munirathnam R.,Lourduraj A.J. Clement 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.5

Barium Bismuth Oxide Borate (BBOB) has been synthesized for the first time using solution combustion technique. SEM analysis reveal flower shape of the nanoparticles. The formation of the nanoparticles has been confirmed through XRD & FTIR studies which gives the physical and chemical structure of the novel material. The UV light absorption is observed in the range 200e300 nm. The present study highlights the radiation shielding ability of BBOB for different radiations like X/Gamma rays, Bremsstrauhlung and neutrons. The gamma shielding efficiency is comparable to that of lead in lower energy range and lesser than lead in the higher energy range. The bremsstrauhlung exposure constant is comparably larger for BBOB NPs than that of concrete and steel however it is lesser than that of lead. The beauty of BBOB nanoparticles lies in, high absorption of radiations and low emission of secondary radiations when compared to lead. In addition, the neutron shielding parameters like scattering length, absorption and scattering cross sections of BBOB are found to be much better than lead, steel and concrete. Thus, BBOB nanoparticles are highly efficient in absorbing X/Gamma rays, neutrons and bremsstrauhlung radiations

Hydroxyurea Induced Perimalleolar Ulcers

Kavitha Saravu,Praveen Velappan,Naik Lakshmi,Barkur Ananthakrishna Shastry,Joseph Thomas 대한의학회 2006 Journal of Korean medical science Vol.21 No.1

CoBiD-net: a tailored deep learning ensemble model for time series forecasting of covid-19

Shastri Sourabh,Singh Kuljeet,Deswal Monu,Kumar Sachin,Mansotra Vibhakar 대한공간정보학회 2022 Spatial Information Research Vol.30 No.2

The pandemic of novel coronavirus disease 2019 (Covid-19) has left the world to a standstill by creating a calamitous situation. To mitigate this devastating effect the inception of artificial intelligence into medical health care is mandatory. This study aims to present the educational perspective of Covid-19 and forecast the number of confirmed and death cases in the USA, India, and Brazil along with the discussion of endothelial dysfunction in epithelial cells and Angiotensin-Converting Enzyme 2 receptor (ACE2) with the Covid-19. Three different deep learning based experimental setups have been framed to forecast Covid-19. Models are (i) Bi-directional Long Short Term Memory (LSTM) (ii) Convolutional LSTM (iii) Proposed ensemble of Convolutional and Bi-directional LSTM network are known as CoBiD-Net ensemble. The educational perspective of Covid-19 has been given along with an architectural discussion of multi-organ failure due to intrusion of Covid-19 with the cell receptors of the human body. Different classification metrics have been calculated using all three models. Proposed CoBiD-Net ensemble model outperforms the other two models with respect to accuracy and mean absolute percentage error (MAPE). Using CoBiD-Net ensemble, accuracy for Covid-19 cases ranges from 98.10 to 99.13% with MAPE ranges from 0.87 to 1.90. This study will help the countries to know the severity of Covid-19 concerning education in the future along with forecasting of Covid-19 cases and human body interaction with the Covid-19 to make it the self-replicating phenomena.

Immunogenicity and protection of oral influenza vaccines formulated into microparticles

Shastri, Prathap Nagaraja,Kim, Min‐,Chul,Quan, Fu‐,Shi,D'Souza, Martin J.,Kang, Sang‐,Moo Wiley Subscription Services, Inc., A Wiley Company 2012 journal of pharmaceutical sciences Vol.101 No.10

<P><B>Abstract</B></P><P>Influenza is a deadly disease affecting humans and animals. It is recommended that every individual should be vaccinated annually against influenza. Considering the frequency of administration of this vaccine, we have explored the oral route of vaccination with a microparticulate formulation. Microparticles containing inactivated influenza A/PR/34/8 H1N1 virus with Eudragit S and trehalose as a matrix were prepared using the Buchi spray dryer. Particle size distribution of microparticles was measured and the bioactivity of vaccine in a microparticle form was analyzed using a hemagglutination activity test. Furthermore, the efficacy of microparticle vaccines was evaluated <I>in vivo</I> in Balb/c mice. Analysis of serum samples showed that microparticles resulted in enhanced antigen‐specific immunoglobulin G (IgG), IgG1, and IgG2a antibodies. Upon challenge with homologous and heterologous influenza viruses, microparticle vaccines showed significantly increased levels of protection. Use of microparticles to deliver vaccines could be a promising tool for the development of an oral influenza vaccine. © 2012 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 101:3623–3635, 2012</P>

CoBiD-net: a tailored deep learning ensemble model for time series forecasting of covid-19

Shastri Sourabh,Singh Kuljeet,Deswal Monu,Kumar Sachin,Mansotra Vibhakar 대한공간정보학회 2022 Spatial Information Research Vol.30 No.1

The pandemic of novel coronavirus disease 2019 (Covid-19) has left the world to a standstill by creating a calamitous situation. To mitigate this devastating effect the inception of artificial intelligence into medical health care is mandatory. This study aims to present the educational perspective of Covid-19 and forecast the number of confirmed and death cases in the USA, India, and Brazil along with the discussion of endothelial dysfunction in epithelial cells and Angiotensin-Converting Enzyme 2 receptor (ACE2) with the Covid-19. Three different deep learning based experimental setups have been framed to forecast Covid-19. Models are (i) Bi-directional Long Short Term Memory (LSTM) (ii) Convolutional LSTM (iii) Proposed ensemble of Convolutional and Bi-directional LSTM network are known as CoBiD-Net ensemble. The educational perspective of Covid-19 has been given along with an architectural discussion of multi-organ failure due to intrusion of Covid-19 with the cell receptors of the human body. Different classification metrics have been calculated using all three models. Proposed CoBiD-Net ensemble model outperforms the other two models with respect to accuracy and mean absolute percentage error (MAPE). Using CoBiD-Net ensemble, accuracy for Covid-19 cases ranges from 98.10 to 99.13% with MAPE ranges from 0.87 to 1.90. This study will help the countries to know the severity of Covid-19 concerning education in the future along with forecasting of Covid-19 cases and human body interaction with the Covid-19 to make it the self-replicating phenomena.

Seasonal Variation and Potential Health Risk of Volatile Organic Compounds in a Rural Area of Seosan

Avinash Shastri,Jayant Nirmalkar,Seunggi Kim,Sangmin Oh,Kwangyul Lee,Mijung Song 한국대기환경학회 2023 한국대기환경학회 학술대회논문집 Vol.2023 No.10