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  1. Book ; Online ; E-Book: Advances in malaria research

    Chauhan, Virander S. / Gaur, Deepak / Chitnis, Chetan E.

    (The Wiley-IUBMB series on biochemistry and molecular biology)

    2017  

    Author's details edited by Deepak Gaur, School of Biotechnology, Jawaharlal Nehru University, New Delhi, India, Chetan E. Chitnis, Department pf Parasites and Insect Vecotrs, Institut Pasteur, Paris, France, Virander S. Chauhan, International Centre for Genetic Engineering and Biotechnology, New Delhi, India
    Series title The Wiley-IUBMB series on biochemistry and molecular biology
    Keywords Malaria ; Plasmodium ; Antimalarials ; Malaria Vaccines
    Language English
    Size 1 Online-Ressource (xx, 592 Seiten), Illustrationen
    Publisher Wiley Blackwell
    Publishing place Hoboken, New Jersey
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019413079
    ISBN 978-1-118-49383-0 ; 9781118493793 ; 1-118-49383-4 ; 1118493796
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Recurring SARS-CoV-2 variants: an update on post-pandemic, co-infections and immune response.

    Verma, Ashmit / Manojkumar, Anjali / Dhasmana, Anupam / Tripathi, Manish K / Jaggi, Meena / Chauhan, Subhash C / Chauhan, Deepak S / Yallapu, Murali M

    Nanotheranostics

    2024  Volume 8, Issue 2, Page(s) 247–269

    Abstract: The post-pandemic era following the global spread of the SARS-CoV-2 virus has brought about persistent concerns regarding recurring coinfections. While significant strides in genome mapping, diagnostics, and vaccine development have controlled the ... ...

    Abstract The post-pandemic era following the global spread of the SARS-CoV-2 virus has brought about persistent concerns regarding recurring coinfections. While significant strides in genome mapping, diagnostics, and vaccine development have controlled the pandemic and reduced fatalities, ongoing virus mutations necessitate a deeper exploration of the interplay between SARS-CoV-2 mutations and the host's immune response. Various vaccines, including RNA-based ones like Pfizer and Moderna, viral vector vaccines like Johnson & Johnson and AstraZeneca, and protein subunit vaccines like Novavax, have played critical roles in mitigating the impact of COVID-19. Understanding their strengths and limitations is crucial for tailoring future vaccines to specific variants and individual needs. The intricate relationship between SARS-CoV-2 mutations and the immune response remains a focus of intense research, providing insights into personalized treatment strategies and long-term effects like long-COVID. This article offers an overview of the post-pandemic landscape, highlighting emerging variants, summarizing vaccine platforms, and delving into immunological responses and the phenomenon of long-COVID. By presenting clinical findings, it aims to contribute to the ongoing understanding of COVID-19's progression in the aftermath of the pandemic.
    MeSH term(s) Humans ; SARS-CoV-2 ; Post-Acute COVID-19 Syndrome ; COVID-19 ; Coinfection ; Pandemics ; Protein Subunit Vaccines
    Chemical Substances Protein Subunit Vaccines
    Language English
    Publishing date 2024-02-25
    Publishing country Australia
    Document type Journal Article ; Review
    ISSN 2206-7418
    ISSN (online) 2206-7418
    DOI 10.7150/ntno.91910
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: A Comparative Study to Evaluate the Effectiveness of Silver Diamine Fluoride at Different Time Durations of Application in Treating Carious Primary Teeth: A Randomized Trial.

    Thakur, Seema / Sojan, Meera / Singhal, Parul / Chauhan, Deepak

    International journal of clinical pediatric dentistry

    2022  Volume 15, Issue Suppl 2, Page(s) S147–S150

    Abstract: ... Thakur S, Sojan M, Singhal P, ...

    Abstract Background and objectives: Ideally every child must have access to preventive and restorative care of greater quality. However, in rural areas, resources and dental care services are limited. Silver diamine fluoride (SDF) has been identified as an efficient topical cariostatic and preventive medicament for managing ECC in children who cannot be treated conventionally. Since SDF is an emerging alternative for caries prevention and arrest, AAPD recommends more practice-based research to evaluate its efficacy. The aim of this study was to evaluate the effectiveness of silver diamine fluoride at different time durations of application in treatment of carious primary teeth in children with least access to dental care.
    Methodology: This was a prospective, randomized, field trial that included patients with primary tooth. Primary tooth presenting carious lesion in ICDAS 3-6 category were randomly assigned to one of the three groups.
    Results: At 3-week mean rank of lesions arrested in Group 1 and Group 2 were 73.3 and 72.29, whereas it was 86.9 in case of Group 3. At 6 months it was 79.15, 77.29, and 75.96 in Group 1, 2, and 3, respectively (p > 0.05).
    Conclusion: SDF is effective in controlling caries progression in both cavitated and non-cavitated lesion with minimal time duration of application (30 seconds). This approach may be of great utility as an alternative to other expensive preventive and therapeutic methods in communities with limited resources. Nonetheless obtaining caregiver consent is mandatory.
    How to cite this article: Thakur S, Sojan M, Singhal P,
    Language English
    Publishing date 2022-05-24
    Publishing country India
    Document type Journal Article
    ISSN 0974-7052
    ISSN 0974-7052
    DOI 10.5005/jp-journals-10005-2326
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Evaluation of Efficacy of Oral Ketamine and Midazolam Combination Drug in Different Doses in Different Groups Used for Moderate Sedation in Pediatric Dentistry Randomized-comparative Trial.

    Thakur, Seema / Verma, Kalpana / Singhal, Parul / Chauhan, Deepak

    International journal of clinical pediatric dentistry

    2022  Volume 14, Issue Suppl 2, Page(s) S151–S156

    Abstract: ... patient.: How to cite this article: Thakur S, Verma K, Singhal P, ...

    Abstract Background: Dental phobia and apprehension in children lead to difficulty with behavior management. During dental procedure if a child had a bad experience, he will develop greater apprehension, which makes further treatment difficult.
    Aim and objective: The aim and objective of the present study is to assess and compare the sedation and wake-up behavior status of oral combinations of three different doses of ketamine and midazolam drugs in three different groups mixed in 1 mL of honey.
    Methodology: This study was a randomized, clinical study that included patients ranging from 3 to 9 years of age with American Society of Anesthesiologists-I status with carious teeth, were randomly allocated among three groups where group (A) received 0.2 mg/kg of oral midazolam and 5 mg/kg oral ketamine combination drugs, group (B) received 0.3 mg/kg of oral midazolam with 3 mg/kg of oral ketamine combination drugs and group (C) received 0.4 mg/kg of oral midazolam with 2 mg/kg of oral ketamine combination drugs mixed in 1 mL of honey.Child patient's who fulfilled the inclusion criteria, heart rate, blood pressure, and oxygen saturation was recorded from starting of the treatment until discharged from the monitoring room. Ease of treatment completion was evaluated according to the Houpt scale, patients' behavior, sedation, and wake-up behavior status were evaluated with modified observer assessment of alertness and sedation scale (MOAAS).
    Results: In the study, various doses of ketamine-midazolam combination drugs in three different groups resulted in a clement increase in heart rate, systolic blood pressure (SBP), and diastolic blood pressure (DBP) during the procedure but variations among the groups were not significant. As per MOAAS, the sedation success rate in group B (83.3%) was more than group A (66.6%) and group C (66.6%).All the three groups equally showed the same i.e., (91.6%), behavior score during treatment. Ease of treatment completion was excellent in group B (83.3%) followed by group A and group C [i.e.], (66.7%). Whereas, wake-up behavior score as per MOAAS scale was found to be calm and cooperative in group B (91.7%) followed by group C (88.9%) and group A (83.3%).
    Conclusion: In the present study oral ketamine-midazolam combination drugs can be used without harm and effectively as moderate sedation in an uncooperative pediatric patient.
    How to cite this article: Thakur S, Verma K, Singhal P,
    Language English
    Publishing date 2022-05-24
    Publishing country India
    Document type Journal Article
    ISSN 0974-7052
    ISSN 0974-7052
    DOI 10.5005/jp-journals-10005-2096
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Optimizing QoS and security in agriculture IoT deployments: A bioinspired Q-learning model with customized shards.

    Sonavane, Sonali Mahendra / Prashantha, G R / Nikam, Pranjali Deepak / A V R, Mayuri / Chauhan, Jyoti / S, Sountharrajan / Bavirisetti, Durga Prasad

    Heliyon

    2024  Volume 10, Issue 2, Page(s) e24224

    Abstract: Agriculture Internet of Things (AIoTs) deployments require design of high-efficiency Quality of Service (QoS) & security models that can provide stable network performance even under large-scale communication requests. Existing security models that use ... ...

    Abstract Agriculture Internet of Things (AIoTs) deployments require design of high-efficiency Quality of Service (QoS) & security models that can provide stable network performance even under large-scale communication requests. Existing security models that use blockchains are either highly complex or require large delays & have higher energy consumption for larger networks. Moreover, the efficiency of these models depends directly on consensus-efficiency & miner-efficiency, which restricts their scalability under real-time scenarios. To overcome these limitations, this study proposes the design of an efficient Q-Learning bioinspired model for enhancing QoS of AIoT deployments via customized shards. The model initially collects temporal information about the deployed AIoT Nodes, and continuously updates individual recurring trust metrics. These trust metrics are used by a Q-Learning process for identification of miners that can participate in the block-addition process. The blocks are added via a novel Proof-of-Performance (PoP) based consensus model, which uses a dynamic consensus function that is based on temporal performance of miner nodes. The PoP consensus is facilitated via customized shards, wherein each shard is deployed based on its context of deployment, that decides the shard-length, hashing model used for the shard, and encryption technique used by these shards. This is facilitated by a Mayfly Optimization (MO) Model that uses PoP scores for selecting shard configurations. These shards are further segregated into smaller shards via a Bacterial Foraging Optimization (BFO) Model, which assists in identification of optimal shard length for underlying deployment contexts. Due to these optimizations, the model is able to improve the speed of mining by 4.5%, while reducing energy needed for mining by 10.4%, improving the throughput during AIoT communications by 8.3%, and improving the packet delivery consistency by 2.5% when compared with existing blockchain-based AIoT deployment models under similar scenarios. This performance was observed to be consistent even under large-scale attacks.
    Language English
    Publishing date 2024-01-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e24224
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Coiled-coil peptide-based assembly of a plasmonic core-satellite polymer-metal nanocomposite as an efficient photothermal agent for drug delivery applications.

    Robert, Jordan / S Chauhan, Deepak / Cherraj, Amel / Buiel, Jonathan / De Crescenzo, Gregory / Banquy, Xavier

    Journal of colloid and interface science

    2023  Volume 641, Page(s) 929–941

    Abstract: Polymer-metal nanocomposites have widespread applications in biomedical fields such as imaging, catalysis, and drug delivery. These particles are characterized by combined organic and inorganic properties. Specifically, photothermal nanocomposites ... ...

    Abstract Polymer-metal nanocomposites have widespread applications in biomedical fields such as imaging, catalysis, and drug delivery. These particles are characterized by combined organic and inorganic properties. Specifically, photothermal nanocomposites incorporating polymeric and plasmonic nanoparticles (NPs) have been designed for both triggered drug release and as imaging agents. However, the usual design of nanocomposites confers characteristic issues, among which are the decrease of optical properties and resulting low photothermal efficiency, as well as interactions with loaded drugs. Herein, we report the design of a core-satellite polymer-metal nanocomposite assembled by coiled-coil peptides and its superior photothermal efficiency compared to electrostatic-driven nanocomposites which is the standard design. We also found that the orientation of gold nanorods on the surface of polymeric NPs is of importance in the final photothermal efficiency and could be exploited for various applications. Our findings provide an alternative to current wrapping and electrostatic assembly of nanocomposites with the help of coiled-coil peptides and an improvement of the control over core-satellite assemblies with plasmonic NPs. It paves the way to highly versatile assemblies due to the nature of coiled-coil peptides to be easily modified and sensitive to pH or temperature.
    MeSH term(s) Polymers ; Drug Delivery Systems ; Nanoparticles ; Peptides/chemistry ; Gold/chemistry ; Nanocomposites/chemistry
    Chemical Substances Polymers ; Peptides ; Gold (7440-57-5)
    Language English
    Publishing date 2023-03-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241597-5
    ISSN 1095-7103 ; 0021-9797
    ISSN (online) 1095-7103
    ISSN 0021-9797
    DOI 10.1016/j.jcis.2023.03.085
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Optimizing QoS and security in agriculture IoT deployments

    Sonali Mahendra Sonavane / G.R. Prashantha / Pranjali Deepak Nikam / Mayuri A V R / Jyoti Chauhan / Sountharrajan S / Durga Prasad Bavirisetti

    Heliyon, Vol 10, Iss 2, Pp e24224- (2024)

    A bioinspired Q-learning model with customized shards

    2024  

    Abstract: Agriculture Internet of Things (AIoTs) deployments require design of high-efficiency Quality of Service (QoS) & security models that can provide stable network performance even under large-scale communication requests. Existing security models that use ... ...

    Abstract Agriculture Internet of Things (AIoTs) deployments require design of high-efficiency Quality of Service (QoS) & security models that can provide stable network performance even under large-scale communication requests. Existing security models that use blockchains are either highly complex or require large delays & have higher energy consumption for larger networks. Moreover, the efficiency of these models depends directly on consensus-efficiency & miner-efficiency, which restricts their scalability under real-time scenarios. To overcome these limitations, this study proposes the design of an efficient Q-Learning bioinspired model for enhancing QoS of AIoT deployments via customized shards. The model initially collects temporal information about the deployed AIoT Nodes, and continuously updates individual recurring trust metrics. These trust metrics are used by a Q-Learning process for identification of miners that can participate in the block-addition process. The blocks are added via a novel Proof-of-Performance (PoP) based consensus model, which uses a dynamic consensus function that is based on temporal performance of miner nodes. The PoP consensus is facilitated via customized shards, wherein each shard is deployed based on its context of deployment, that decides the shard-length, hashing model used for the shard, and encryption technique used by these shards. This is facilitated by a Mayfly Optimization (MO) Model that uses PoP scores for selecting shard configurations. These shards are further segregated into smaller shards via a Bacterial Foraging Optimization (BFO) Model, which assists in identification of optimal shard length for underlying deployment contexts. Due to these optimizations, the model is able to improve the speed of mining by 4.5%, while reducing energy needed for mining by 10.4%, improving the throughput during AIoT communications by 8.3%, and improving the packet delivery consistency by 2.5% when compared with existing blockchain-based AIoT deployment models under similar ...
    Keywords Blockchain ; AIoT ; QoS ; Security ; Sharding ; Custom ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 006
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: MicroRNA Signatures for Pancreatic Cancer and Chronic Pancreatitis: Expression Profiling by NGS.

    Singh, Nidhi / Khan, Imteyaz Ahmad / Rashid, Safoora / Rashid, Sumaira / Roy, Shikha / Kaushik, Kriti / Kumar, Amit / Das, Prasenjit / Lalwani, Sanjeev / Gupta, Dinesh / Gunjan, Deepak / Dash, Nihar Ranjan / Chauhan, Shyam S / Gupta, Surabhi / Saraya, Anoop

    Pancreas

    2024  Volume 53, Issue 3, Page(s) e260–e267

    Abstract: Background: Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease due to the lack of early detection. Because chronic pancreatitis (CP) patients are a high-risk group for pancreatic cancer, this study aimed to assess the differential miRNA profile ...

    Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease due to the lack of early detection. Because chronic pancreatitis (CP) patients are a high-risk group for pancreatic cancer, this study aimed to assess the differential miRNA profile in pancreatic tissue of patients with CP and pancreatic cancer.
    Methods: MiRNAs were isolated from formalin-fixed paraffin-embedded pancreatic tissue of 22 PDAC patients, 18 CP patients, and 10 normal pancreatic tissues from autopsy (C) cases and processed for next-generation sequencing. Known and novel miRNAs were identified and analyzed for differential miRNA expression, target prediction, and pathway enrichment between groups.
    Results: Among the miRNAs identified, 166 known and 17 novel miRNAs were found exclusively in PDAC tissues, while 106 known and 10 novel miRNAs were found specifically in CP tissues. The pathways targeted by PDAC-specific miRNAs and differentially expressed miRNAs between PDAC versus CP tissues and PDAC versus control tissues were the proteoglycans pathway, Hippo signaling pathway, adherens junction, and transforming growth factor-β signaling pathway.
    Conclusions: This study resulted in a set of exclusive and differentially expressed miRNAs in PDAC and CP can be assessed for their diagnostic value. In addition, studying the role of miRNA-target gene interactions in carcinogenesis may open new therapeutic avenues.
    MeSH term(s) Humans ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Pancreatic Neoplasms/diagnosis ; Pancreatic Neoplasms/genetics ; Pancreatic Neoplasms/metabolism ; Carcinoma, Pancreatic Ductal/diagnosis ; Carcinoma, Pancreatic Ductal/genetics ; Carcinoma, Pancreatic Ductal/metabolism ; Pancreas/pathology ; Pancreatitis, Chronic/diagnosis ; Pancreatitis, Chronic/genetics ; Pancreatitis, Chronic/complications ; Pancreatic Hormones/metabolism ; Gene Expression Profiling
    Chemical Substances MicroRNAs ; Pancreatic Hormones
    Language English
    Publishing date 2024-02-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 632831-3
    ISSN 1536-4828 ; 0885-3177
    ISSN (online) 1536-4828
    ISSN 0885-3177
    DOI 10.1097/MPA.0000000000002297
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Duplex real-time PCR assay with high-resolution melt analysis for the detection and quantification of

    Vishnuraj, M R / Ajay, G / Aravind Kumar, N / Renuka, J / Pollumahanti, Niveditha / Anusha Chauhan, H / Vaithiyanathan, S / Rawool, Deepak B / Barbuddhe, S B

    Journal of food science and technology

    2023  Volume 60, Issue 5, Page(s) 1541–1550

    Abstract: Listeria: Supplementary information: The online version contains supplementary material available at 10.1007/s13197-023-05695-2. ...

    Abstract Listeria
    Supplementary information: The online version contains supplementary material available at 10.1007/s13197-023-05695-2.
    Language English
    Publishing date 2023-03-01
    Publishing country India
    Document type Journal Article
    ZDB-ID 242498-8
    ISSN 0975-8402 ; 0022-1155
    ISSN (online) 0975-8402
    ISSN 0022-1155
    DOI 10.1007/s13197-023-05695-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Pathophysiology to advanced intra-articular drug delivery strategies: Unravelling rheumatoid arthritis.

    Singh, Hemant / Dan, Aniruddha / Kumawat, Mukesh Kumar / Pawar, Vaishali / Chauhan, Deepak S / Kaushik, Ajeet / Bhatia, Dhiraj / Srivastava, Rohit / Dhanka, Mukesh

    Biomaterials

    2023  Volume 303, Page(s) 122390

    Abstract: Rheumatoid arthritis (RA) is one of the most prevalent life-long autoimmune diseases with an unknown genesis. It primarily causes chronic inflammation, pain, and synovial joint-associated cartilage and bone degradation. Unfortunately, limited information ...

    Abstract Rheumatoid arthritis (RA) is one of the most prevalent life-long autoimmune diseases with an unknown genesis. It primarily causes chronic inflammation, pain, and synovial joint-associated cartilage and bone degradation. Unfortunately, limited information is available regarding the etiology and pathogenesis of this chronic joint disorder. In the last few decades, an improved understanding of RA pathophysiology about key immune cells, antibodies, and cytokines has inspired the development of several anti-rheumatic drugs and biopharmaceuticals to act on RA-affected joints. However, life-long frequent systemic high doses of commercially available drugs are currently a limiting factor in the efficient management of RA. To address this issue, various single and double-barrier intra-articular drug delivery systems (IA-DDSs) such as nanocarriers, microparticles, hydrogels, and particles-hybrid hydrogel composite have been developed which can exclusively target the RA-affected joint cavity and release the precisely controlled therapeutic drug concentration for prolonged time whilst avoiding the systemic toxicity. This review provides a comprehensive overview of the pathogenesis of RA and discusses the rational design and development of biomaterials-based novel IA-DDs, ranging from conventional to advanced systems, for improved treatment of RA. Therefore, this review aims to unravel the pathophysiology of rheumatoid arthritis and explore cutting-edge IA-DD strategies exploiting biomaterials. It offers researchers a consolidated and up-to-date resource platform to analyze existing knowledge, identify research gaps, and contribute to the scientific literature.
    MeSH term(s) Humans ; Arthritis, Rheumatoid/drug therapy ; Arthritis, Rheumatoid/pathology ; Joints/metabolism ; Joints/pathology ; Drug Delivery Systems ; Inflammation/pathology ; Biocompatible Materials/therapeutic use
    Chemical Substances Biocompatible Materials
    Language English
    Publishing date 2023-11-10
    Publishing country Netherlands
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 603079-8
    ISSN 1878-5905 ; 0142-9612
    ISSN (online) 1878-5905
    ISSN 0142-9612
    DOI 10.1016/j.biomaterials.2023.122390
    Database MEDical Literature Analysis and Retrieval System OnLINE

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