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Role of Synthetic Hydroxyapatite-In Socket Preservation: A Systematic Review and Meta-analysis

Kattimani VS, Prathigudupu RS, Jairaj A, Khader MA, Rajeev K, Khader AA

J Contemp Dent Pract, 2019 Aug 01;20(8):987-993.
PMID: 31797859

Since a long time, the preservation of the socket is emphasized for various reasons. Many studies have suggested the ridge preservation through socket grafting using various bone graft substitute materials (GSMs). But none of the studies suggested the material of choice for the grafting. So, the systematic review was planned to analyze the outcomes of synthetic hydroxyapatite (SHA) graft material for socket preservation. The review was aimed to determine the existing evidence for the use of SHA GSM for grafting and its usefulness.
MATERIALS AND METHODS: The literature search was performed for the studies published in the English language independently by all four authors (search team) in the Medline database through the PubMed search engine for the past 5 years. The study involved predetermined inclusion and exclusion criteria for the search. The final lists of clinical trials were analyzed to determine the existing evidence and suggested the mechanism of action.
REVIEW RESULTS: The search resulted in 117 titles. After application of inclusion and exclusion criteria, a total of seven studies were found eligible for this systematic review. Out of seven, two studies were found eligible for meta-analysis whereas remaining included for the systematic review.
CONCLUSION: The meta-analysis favors socket grafting compared to control in terms of preservation of existing bone height and width. The SHA grafting showed successful bone regeneration with less connective tissue component. The histomorphometric evaluation showed a good bone regeneration associated with SHA than xenograft. Within the limitations of this meta-analysis, the synthetic GSM can be used for socket grafting.
CLINICAL SIGNIFICANCE: In the wake of increasing graft materials in the market and different origin raw material sources for the preparation of graft materials, clinicians are in dilemma for selection and its use. The success of grafting depends on the selection of appropriate material with a suitable calcium/phosphate (Ca/P) ratio. The review provided available evidence for the use of SHA.
Design and Evaluation of Microemulsion-Based Drug Delivery Systems for Biofilm-Based Infection in Burns

Biswas A, A JM, Lewis SA, Raja S, Paul A, Ghosal K, et al.

AAPS PharmSciTech, 2024 Sep 05;25(7):203.
PMID: 39237802 DOI: 10.1208/s12249-024-02909-4

Normal skin is the first line of defense in the human body. A burn injury makes the skin susceptible to bacterial infection, thereby delaying wound healing and ultimately leading to sepsis. The chances of biofilm formation are high in burn wounds due to the presence of avascular necrotic tissue. The most common pathogen to cause burn infection and biofilm is Pseudomonas aeruginosa. The purpose of this study was to create a microemulsion (ME) formulation for topical application to treat bacterial burn infection. In the present study, tea tree oil was used as the oil phase, Tween 80 and transcutol were used as surfactants, and water served as the aqueous phase. Pseudo ternary phase diagrams were used to determine the design space. The ranges of components as suggested by the design were chosen, optimization of the microemulsion was performed, and in vitro drug release was assessed. Based on the characterization studies performed, it was found that the microemulsion were formulated properly, and the particle size obtained was within the desired microemulsion range of 10 to 300 nm. The I release study showed that the microemulsion followed an immediate release profile. The formulation was further tested based on its ability to inhibit biofilm formation and bacterial growth. The prepared microemulsion was capable of inhibiting biofilm formation.
Efficacy of Vagal nerve stimulation on anxiety among elderly retired teachers during COVID-19 pandemic

Srinivasan V, Ruthuvalan V, Raja S, Jayaraj V, Sridhar S, Kothandaraman M, et al.

Work, 2024 Mar 15.
PMID: 38489208 DOI: 10.3233/WOR-230356

BACKGROUND: Excessive fear, worry and behavioral disturbances define anxiety, with particular significance attributed to vagal nerve, a crucial transmitter of information to the brain regions governing anxiety. Highlighting the importance of vagal nerve, transcutaneous auricular vagal nerve stimulation (TaVNS) emerges as a tolerable and safe technique. The success of non-invasive vagal nerve stimulation in alleviating anxiety underscores the pivotal role of the vagal nerve.
OBJECTIVES: The purpose of this study was to assess the effectiveness of physiotherapy interventions in mitigating anxiety among retired teachers during the COVID-19 pandemic, emphasizing the relevance of targeting the vagal nerve for improved mental well-being.
METHODS: 60 retired teachers diagnosed with anxiety were chosen through random allocation. Participants were divided into two groups: Group A (Experimental group) received transcutaneous auricular vagal nerve stimulation (TaVNS), and Group B (Control group) underwent the Jacobson relaxation technique. Intervention period spanned 4 weeks, with four sessions per week, lasting 30 minutes. The outcome measures included Generalized Anxiety Disorder-7 (GAD-7) questionnaire and salivary cortisol levels.
RESULTS: Following the 4-week intervention, both groups exhibited a significant reduction in Generalized Anxiety Disorder-7 (GAD-7) scores and salivary cortisol levels (P < 0.001). Notably, Group A demonstrated a significantly higher effectiveness rate compared to Group B.
CONCLUSION: The study concludes that transcutaneous auricular vagal nerve stimulation (TaVNS) is effective in reducing anxiety among retired teachers. Transcutaneous auricular vagal nerve stimulation (TaVNS) proves to be a powerful and effective intervention in alleviating anxiety among retired teachers, emphasizing its potential significance in enhancing mental well-being.
Fulltext Analysis of banana plant health using machine learning techniques

Thiagarajan JD, Kulkarni SV, Jadhav SA, Waghe AA, Raja SP, Rajagopal S, et al.

Sci Rep, 2024 Jul 01;14(1):15041.
PMID: 38951552 DOI: 10.1038/s41598-024-63930-y

The Indian economy is greatly influenced by the Banana Industry, necessitating advancements in agricultural farming. Recent research emphasizes the imperative nature of addressing diseases that impact Banana Plants, with a particular focus on early detection to safeguard production. The urgency of early identification is underscored by the fact that diseases predominantly affect banana plant leaves. Automated systems that integrate machine learning and deep learning algorithms have proven to be effective in predicting diseases. This manuscript examines the prediction and detection of diseases in banana leaves, exploring various diseases, machine learning algorithms, and methodologies. The study makes a contribution by proposing two approaches for improved performance and suggesting future research directions. In summary, the objective is to advance understanding and stimulate progress in the prediction and detection of diseases in banana leaves. The need for enhanced disease identification processes is highlighted by the results of the survey. Existing models face a challenge due to their lack of rotation and scale invariance. While algorithms such as random forest and decision trees are less affected, initially convolutional neural networks (CNNs) is considered for disease prediction. Though the Convolutional Neural Network models demonstrated impressive accuracy in many research but it lacks in invariance to scale and rotation. Moreover, it is observed that due its inherent design it cannot be combined with feature extraction methods to identify the banana leaf diseases. Due to this reason two alternative models that combine ANN with scale-invariant Feature transform (SIFT) model or histogram of oriented gradients (HOG) combined with local binary patterns (LBP) model are suggested. The first model ANN with SIFT identify the disease by using the activation functions to process the features extracted by the SIFT by distinguishing the complex patterns. The second integrate the combined features of HOG and LBP to identify the disease thus by representing the local pattern and gradients in an image. This paves a way for the ANN to learn and identify the banana leaf disease. Moving forward, exploring datasets in video formats for disease detection in banana leaves through tailored machine learning algorithms presents a promising avenue for research.
Fulltext Nipah amidst Covid-19 Pandemic, another Re-Emerging Infectious Disease of Pandemic Potential - a Narrative Review

Kaliappan A, Kaliappan V, Lakshmi JT, Raja S, Nikhat SS, Vidya MS, et al.

Maedica (Bucur), 2022 Jun;17(2):464-470.
PMID: 36032603 DOI: 10.26574/maedica.2022.17.2.464

Introduction: Nipah virus (NiV) was reported for the first time from the Kampung Sungai Nipah village of Malaysia in 1998. Since then, there have been multiple outbreaks, all of them in South- and South-East Asia. According to the World Health Organization (WHO), up to 75% of Nipah infections were proven to be fatal. Nipah virus belongs to the group of Biosafety Level-4 pathogen associated with high case fatality rate (40-75%). Methodology:According to the PRISMA guidelines for 2020, we searched in four medical databases (PubMed, Google Scholar, EMBASE and Scopus) and selected relevant studies from the past twenty years till November 2021. Review:Nipah virus was first detected in Malaysia's Kampung Sungai Nipah in 1998. By May 1999, the Malaysia Ministry of Health in association with the Centers for Disease Control (CDC) reported a total of 258 cases with a case fatality rate of almost 40%. Nipah in Kozhikode:Experts from the Pune Institute and Bhopal's National Institute of High Security Animal Diseases had collected Bat samples from Pazhoor in Chathamangalam gram panchayat (where a 12-year-old died due to Nipah infection on September 5 carried antibodies of the virus). All Indian outbreaks have seen person-to-person transmission. The virus found in Kerala differed from those two variants in terms of genetic structure. It also differed by 1.96% from the Bangladesh variant. The difference with the Malaysian variant was 8.42%. While PCR is the most sensitive technique for diagnosing active NiV infection, NiV-specific IgM ELISA offers a serological option when PCR is not available. Conclusions:Understanding the fruit bat ecology, NiV illness seasonality, and the transmission risk of various intermediate species requires a One Health approach. The danger of reintroduction into animal or human populations cannot be handled without a thorough understanding of the wildlife reservoir.