Article
Pharmacology & Pharmacy
Ruma Rani, Balasubramanian Narsiman, Rajender S. Varma, Rajender Kumar
Summary: Nanoencapsulation using natural gum damar as the encapsulation material has shown potential for enhancing the therapeutic effects of drugs. In this study, naphthoquinone derivatives were successfully encapsulated, and the nanoformulations exhibited significant antitrypanosomal effects with minimal cytotoxicity. The nanoparticles were stable, released the drug in a sustained manner, and induced reactive oxygen species production and apoptotic and necrotic effects on the Trypanosoma evansi cells.
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES
(2022)
Article
Parasitology
Ruma Rani, Balasubramanian Narasimhan, Rajender S. Varma, Rajender Kumar
Summary: Six naphthoquinone derivatives were evaluated for their anti-trypanosomal activity against T. evansi, with NTQ1, NTQ3, and NTQ6 showing the most potential. These NTQs exhibited significant production of ROS and characteristics of apoptosis in an axenic culture of T. evansi.
VETERINARY PARASITOLOGY
(2021)
Article
Microbiology
Mohamed A. Dkhil, Esam M. Al-Shaebi, Rewaida Abdel-Gaber, Abdulsalam Alkhudhayri, Felwa A. Thagfan, Saleh Al-Quraishy
Summary: In this study, Eucalyptus camaldulensis leaf extracts (ELE) were found to have antiparasitic, antioxidant, and protective effects against T. evansi infection in mice. ELE decreased trypanosome levels in the blood, improved weight loss, and reduced parasite-induced brain and spleen damage. Moreover, ELE exhibited antioxidant activity and improved histopathological changes in the spleen.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Parasitology
Nathalia Anderson Calomeno, Renato Simoes Moreira, Leonardo Antonio Fernandes, Franciane Batista, Julia Marques, Glauber Wagner, Luiz Claudio Miletti
Summary: The study conducted a comprehensive analysis of the serum proteome of mice infected with Trypanosoma evansi using LC-MS/MS, identifying 30 T. evansi proteins and 31 mouse proteins with abundance changes. Two exclusive VSG epitopes were also identified in the host serum.
VETERINARY PARASITOLOGY
(2021)
Article
Parasitology
Maria Teresa Tejedor-Junco, Adrian Melian Henriquez, Pedro Pelaez Puerto, Maria Dolores Ramos, Margarita Gonzalez-Martin, Manuel Morales Doreste, Geoffrey Gimonneau, Marc Desquesnes, Sergio Martin Martel, Juan Alberto Corbera
Summary: This study investigates the occurrence of Surra, a disease caused by Trypanosoma evansi, in camels in the Canary Islands. Control measures implemented in 1997 led to a decrease in prevalence, but an outbreak in 2014 necessitated the establishment of a lazaret for isolation and further control measures. The only vector for the disease was Stomoxys calcitrans, and no other animals were found to be positive for T. evansi. The study provides evidence to aid in the control of African Animal Trypanosomosis in endemic areas and may contribute to revising control strategies for animal Trypanosomosis in camels.
Article
Veterinary Sciences
Jamila S. Al Malki, Nahed Ahmed Hussien
Summary: This study assessed the prevalence of T. evansi in camels in Taif governorate, Saudi Arabia, and analyzed their genetic relationship. T. evansi was found to be the main infectious species, with a higher prevalence in female camels than males.
BMC VETERINARY RESEARCH
(2022)
Article
Veterinary Sciences
Rajender Kumar, Khushboo Sethi, Naresh Jindal, Sanjay Kumar, B. N. Tripathi
Summary: Non-species specific conjugates can be used for detecting antibodies against T. evansi infection in multiple animal hosts. Different conjugates have varying diagnostic sensitivity and specificity for different animal species.
RESEARCH IN VETERINARY SCIENCE
(2022)
Article
Immunology
Richard T. Kangethe, Eva M. Winger, Tirumala Bharani K. Settypalli, Sneha Datta, Viskam Wijewardana, Charles E. Lamien, Hermann Unger, Theresa H. T. Coetzer, Giovanni Cattoli, Adama Diallo
Summary: This study investigated the effects of irradiation on the infectivity and gene expression of Trypanosoma evansi, a parasite that causes surra in mammalian hosts. Irradiation at different doses affected the parasite's ability to establish disease in mice and altered gene transcript abundance. Gene ontology analysis revealed the involvement of different cellular processes at different doses and time points post-irradiation. These findings provide important insights into the infection mechanism of the parasite and suggest a potential strategy for developing a whole parasite vaccine.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Parasitology
Oumar Diall, Marc Desquesnes, Bernard Faye, Mamadou Lamine Dia, Philippe Jacquiet, Alireza Sazmand, Domenico Otranto, Louis Touratier
Summary: With a growing global population, camels play a vital role as a source of food and transportation in many regions. However, the expansion of camel breeding areas due to global warming has increased the risk of parasitic infections in non-traditional ecotypes. Common biting flies act as vectors, resulting in trypanosomosis and high camel morbidity and mortality. In these areas, political upheaval, poverty, and climate modification further complicate the situation. Control and elimination of these infections would benefit the economies of these populations.
Article
Parasitology
Waseem Khan, Mian Abdul Hafeez, Muhammad Lateef, Muhammad Awais, Abdul Wajid, Bilal Ahmed Shah, Sikandar Ali, Zian Asif, Mansoor Ahmed, Najeeb Kakar, Ajmal Nisar Mengal, Muhammad Wahab
Summary: Surra is a zoonotic disease caused by Trypanosoma evansi that has a severe impact on camels. A comprehensive study was conducted to estimate the prevalence of T. evansi infection in dromedaries in Balochistan province. The overall prevalence of T. evansi among examined camel samples was 28.24% and the risk of infection was higher in adult and male camels. The findings emphasize the need for strict surveillance and control measures.
PARASITOLOGY RESEARCH
(2023)
Article
Veterinary Sciences
Wangchuk Dorjee Bhutia, Snehil Gupta, Ruma Rani, Kanisht Batra, Khushboo Sethi, Sanjay Kumar, Rajender Kumar
Summary: This study investigated the efficacy of kinase inhibitors and protease inhibitors against Trypanosoma evansi, the causative agent of surra. The results showed that kinase inhibitors BAR and PAL, as well as protease inhibitor Z-PRO, exhibited significant growth inhibition against T. evansi. They also influenced the mRNA expression of certain genes in T. evansi. Furthermore, BAR and PAL showed cytotoxicity in equine PBMC's and Vero cell line. In vivo trials also showed the efficacy of BAR and PAL. These findings suggest that kinase inhibitors have potential as therapeutic molecules against surra.
VETERINARY RESEARCH COMMUNICATIONS
(2023)
Article
Agriculture, Dairy & Animal Science
Snehil Gupta, Sukhdeep Vohra, Khushboo Sethi, Surbhi Gupta, Bidhan Chandra Bera, Sanjay Kumar, Rajender Kumar
Summary: In this study, the macrocyclic lactone representative, ivermectin, was found to have potent trypanocidal activity against T. evansi. It inhibited the growth and multiplication of the organism significantly. The study also identified several key drug target genes that were down-regulated or up-regulated upon treatment with ivermectin, suggesting its potential impact on various cellular pathways.
TROPICAL ANIMAL HEALTH AND PRODUCTION
(2022)
Article
Agriculture, Dairy & Animal Science
Dina M. Metwally, Isra M. Al-Turaiki, Najwa Altwaijry, Samia Q. Alghamdi, Abdullah D. Alanazi
Summary: The study investigated the occurrence of Trypanosoma evansi in camels in Saudi Arabia and found that nearly half of the camels were infected, despite being undetectable in thin blood smears. The infection causes significant financial burden to camel breeders and owners, and detection of the parasite can reduce financial losses and improve camel mortality. Polymerase chain reaction was found to be more effective than microscopy at identifying T. evansi infection in camels.
Article
Parasitology
Diksha Sharma, Snehil Gupta, Khushboo Sethi, Sanjay Kumar, Rajender Kumar
Summary: Polymerase spiral reaction (PSR) has been optimized as a convenient and sensitive tool for the diagnosis and monitoring of Trypanosoma evansi infection in livestock at the field level. The colorimetric PSR technique targets the ISG gene of T. evansi and has been shown to be specific against other pathogens. The PSR assay has a low detection limit and can provide results within 1 hour, making it a valuable tool for early infection detection, control, and elimination efforts.
VETERINARY PARASITOLOGY
(2022)
Article
Medicine, Research & Experimental
Serafim Florentino Neto, Ariadna Lafourcade Prada, Leonardo Domingo Rosales Achod, Heron Fernandes Vieira Torquato, Caue Santos Lima, Edgar Julian Paredes-Gamero, Maria Oneide Silva de Moraes, Emerson Silva Lima, Edgar Hernandez Sosa, Tatiane Pereira de Souza, Jesus Rafael Rodriguez Amado
Summary: This study developed a novel alpha-amyrin-loaded nanocapsule for intestinal delivery and showed promising cytotoxic potential against leukemic cells. The nanocapsules exhibited excellent physicochemical stability and selective cytotoxic effects on a human leukemia lineage, suggesting their potential for leukemia treatment.
BIOMEDICINE & PHARMACOTHERAPY
(2021)
Article
Veterinary Sciences
Wangchuk Dorjee Bhutia, Snehil Gupta, Ruma Rani, Kanisht Batra, Khushboo Sethi, Sanjay Kumar, Rajender Kumar
Summary: This study investigated the efficacy of kinase inhibitors and protease inhibitors against Trypanosoma evansi, the causative agent of surra. The results showed that kinase inhibitors BAR and PAL, as well as protease inhibitor Z-PRO, exhibited significant growth inhibition against T. evansi. They also influenced the mRNA expression of certain genes in T. evansi. Furthermore, BAR and PAL showed cytotoxicity in equine PBMC's and Vero cell line. In vivo trials also showed the efficacy of BAR and PAL. These findings suggest that kinase inhibitors have potential as therapeutic molecules against surra.
VETERINARY RESEARCH COMMUNICATIONS
(2023)
Article
Forestry
Arun Kumar Thakur, Rajesh Kumar, Raj Kumar Verma, Pankaj Kumar
Summary: This study explores the relationships between tree species distribution and environmental parameters in Western Himalaya, finding that altitude and temperature are the major determining factors. It also shows an upward shift in the regeneration pattern of these tree species. These findings are important for conservation planning and monitoring tree range dynamics under climate change.
JOURNAL OF SUSTAINABLE FORESTRY
(2023)
Article
Engineering, Multidisciplinary
Ashish Kumar Srivastava, Vimal Kumar Pathak, Rakesh Kumar, Rajesh Kumar
Summary: This research article estimates the impact of graphene sheet reinforcement on the elastic modulus of carbon fiber composites. The study models graphene sheet-embedded aluminum nanocomposites at the nanoscale using molecular dynamics, and then uses the resulting elastic modulus to estimate the elastic modulus at micro and macro scales. The results show that the elastic modulus of carbon fiber-embedded graphene sheet-aluminum nanocomposites is increased compared to the original carbon fiber-reinforced composites, regardless of whether the graphene sheets are stacked or not.
INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION
(2023)
Article
Energy & Fuels
Vikash Kumar Saini, Chandra Shekhar Purohit, Rajesh Kumar, Ameena S. Al-Sumaiti
Summary: Rooftop solar power generation is becoming more popular in residential microgrids. New concepts of electricity markets, such as peer-to-peer (P2P) markets, allow direct exchange of locally generated energy between consumers and prosumers. Blockchain technology is being used to enhance data security in energy trading, simplifying P2P energy transactions.
Article
Biotechnology & Applied Microbiology
Sunena Dhania, Ruma Rani, Rajender Kumar, Rajesh Thakur
Summary: Cell adhesion and proliferation are crucial for tissue engineering applications. Blending polymers is an effective way to create a biocompatible scaffold with desired properties. In this study, poly(3-hydroxybutyrate) (PHB) and poly (3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) were blended in different ratios to create new potential porous, biodegradable scaffolds. The blended scaffolds exhibited reduced crystallinity, diverse porosity, higher surface area and hydrophilicity, and better cell viability, proliferation and adhesion. These findings suggest that blended scaffolds may be more suitable for tissue engineering applications.
JOURNAL OF BIOTECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Bharat Singh, Suchit Patel, Ankit Vijayvargiya, Rajesh Kumar
Summary: To tackle the complexity of trajectory generation for biped robots on uneven terrain, a data-driven Gait model is proposed in this paper. Deep learning methods are employed to develop seven different data-driven models, with LSTM+GRU-based model showing the best performance. Experimental results demonstrate the superiority of the proposed Gait models over traditional finite state machine and Basis models in terms of error summary statistics.
Article
Computer Science, Information Systems
Varaha Satya Bharath Kurukuru, Ahteshamul Haque, Mohammed Ali Khan, Rajesh Kumar
Summary: This article proposes a failure mode effect classification (FMEC) approach for localizing faults in power electronic converters. The approach uses model-driven fault detection and data-driven fault identification to determine the fault effect on inputs, components, and sensors without compromising the power stage of the converter. Numerical simulations and experimental analysis validate the effectiveness of the proposed approach.
IEEE SYSTEMS JOURNAL
(2023)
Article
Biochemistry & Molecular Biology
Snehil Gupta, Sukhdeep Vohra, Khushboo Sethi, Ruma Rani, Surbhi Gupta, Sanjay Kumar, Rajender Kumar
Summary: Current chemotherapy against Trypanosoma evansi has limitations, and there is a need for new agents with high potency and low toxicity. Berberine has shown promising anti-kinetoplastid activity against other related organisms, but its efficacy against T. evansi has not been investigated. This study explored the mode of action of berberine chloride and its potential as an alternative treatment for Surra.
MOLECULAR AND BIOCHEMICAL PARASITOLOGY
(2023)
Article
Parasitology
Ruma Rani, Khushboo Sethi, Snehil Gupta, Nitin Virmani, Sanjay Kumar, Rajender Kumar
Summary: This study evaluated the effect of six alkaloids of quinoline and isoquinoline group on the growth and multiplication of Trypanosoma evansi and their cytotoxic effect on horse peripheral blood mononuclear cells. The alkaloids showed potent trypanocidal activities and dose-dependent cytotoxic effects. Quinine, berbamine, and emetine exhibited higher apoptotic effects in T. evansi and increased reactive oxygen species (ROS) production.
Article
Engineering, Electrical & Electronic
V. Kumar Saini, Rajesh Kumar, Ameena Saad Al-Sumaiti, B. K. Panigrahi
Summary: Cloud energy storage systems (CES) are a new paradigm for residential community microgrids, allowing consumers to become self-sustaining and interact with utilities and other consumers. This paper proposes the use of CES for residential prosumers, utilizing machine learning-based uncertainty quantization and an artificial ecosystem optimization (AEO) method to determine optimal battery capacity considering uncertainty in PV, load, and price. The feasibility and profitability of deploying CES with residential PV are assessed, and simulation results show that the suggested framework integrated with a distributed PV system is more economical.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Bhawna Mewara, Gunjan Sahni, Soniya Lalwani, Rajesh Kumar
Summary: Protein-protein interactions (PPIs) play a crucial role in various biological processes and have become a key focus in system biology. They are essential for predicting protein function and drug ability. This article introduces a new feature representation method called CAA-PPI for extracting features from protein sequences and achieving high prediction accuracy in PPI analysis.
Proceedings Paper
Green & Sustainable Science & Technology
Pankaj Yadav, Vikas, Vikash Kumar Saini, Ameena S. Al-Sumaiti, Rajesh Kumar
Summary: Shortage of fossil fuels, high oil prices, and environmental concerns pose significant challenges to the transport sector. Hybrid electric vehicles (HEVs) are a viable solution, but require an efficient energy management strategy (EMS). This study utilizes a model-free reinforcement control mechanism with deep Q learning and deep deterministic policy gradient (DDPG) to enhance the learning process and reliability of the EMS framework. The simulation results demonstrate that deep DDPG outperforms deep Q learning in terms of reliability and speed of convergence.
2023 IEEE IAS GLOBAL CONFERENCE ON RENEWABLE ENERGY AND HYDROGEN TECHNOLOGIES, GLOBCONHT
(2023)
Article
Energy & Fuels
Alya Alhendi, Ameena Saad Al-Sumaiti, Mousa Marzband, Rajesh Kumar, Ahmed A. Zaki Diab
Summary: In this paper, an improved Markov Chain Artificial Neural network (ANN-MC) was used for load forecasting, considering various statistical factors. The validation of the proposed model was confirmed through comparing the results with other methods. Additionally, two risk indices were proposed to evaluate model performance.
Article
Engineering, Electrical & Electronic
Vikash Kumar Saini, Ameena S. Al-Sumaiti, Rajesh Kumar
Summary: This paper proposes a data-driven approach to managing uncertainties in cloud-based energy storage systems integrated with renewable energy. SVR, LSTM, and CNN-GRU algorithms are used to estimate the forecast errors of load and PV power, and two mechanisms are proposed to determine the net load error. The net error is analyzed statistically to form different uncertainty-bound confidence intervals, and the operation cost of the cloud energy storage system is calculated.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Computer Science, Artificial Intelligence
Ankit Vijayvargiya, Rajesh Kumar, Parul Sharma
Summary: Artificial intelligence has various applications in biomedical sciences, and this research focuses on using surface electromyography (sEMG) signals to aid lower limb activity recognition. The proposed approach includes a multistage classification strategy to overcome the challenges associated with sEMG signals and achieved high accuracy in recognizing lower limb activities.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
