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Aim This study aims to investigate the antibacterial, antifungal, and phytochemical properties of methanolic tuber extracts from Terminalia chebula. Additionally, the study seeks to assess the in vitro anticancer effects of these extracts on an oral cancer cell line, as well as their antioxidant and anti-inflammatory activities. Materials and methods The research involves examining the antibacterial and antifungal properties of methanolic tuber extracts from Terminalia chebula. The phytochemical composition will be analyzed using standard techniques. The in vitro anticancer effects will be tested on an oral cancer cell line, while antioxidant and anti-inflammatory activities will be evaluated through appropriate assays. Results The study demonstrated that Terminalia chebula methanolic tuber extracts exhibit cytotoxic effects on the oral cancer cell line (KB-1), reducing cell viability as evidenced by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. A concentration of 30 µg/mL induced notable morphological changes observed under an inverted fluorescence microscope. Antioxidant assays showed a maximum absorption of 85.3% with 50 µL of the extract, while anti-inflammatory tests revealed a 76.0% absorption. Antimicrobial activity, assessed via agar-well diffusion, indicated significant antibacterial effects, especially against Streptococcus mutans and Candida albicans at higher concentrations. The findings suggest promising therapeutic potential for Terminalia chebula extracts. Conclusion Terminalia chebula tuber extracts may treat diseases caused by studied organisms. The study suggests that methanolic extracts from Terminalia chebula tubers have potential commercial value due to their anti-inflammatory, antioxidant, and cytotoxic properties. The extracts induced apoptosis in an oral cancer cell line at 30 µg/mL after 24 hours. Further research is needed to understand the active components and underlying molecular mechanisms.

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With increasing population there is a rise in pathological diseases that the healthcare facilities are grappling with. Sweat-based wearable technologies for continuous monitoring have overcome the demerits associated with sweat sampling and sensing. Hence, sweat as an alternative biofluid holds great promise for the quantification of a host of biomarkers and understanding the functioning of the body, thereby deducing ailments quickly and economically. This comprehensive review accounts for recent advances in sweat-based LOCs (Lab-On-Chips), which are a likely alternative to the existing blood-urea sample testing that is invasive and time-consuming. The present review is focused on the advancements in sweat-based Lab-On-Chips (LOCs) as an alternative to invasive and time-consuming blood-urea sample testing. In addition, different sweat collection methods (direct skin, near skin and microfluidic) and their mechanism for urea sensing are explained in detail. The mechanism of urea in biofluids in protein metabolism, balancing nitrogen levels and a crucial factor of kidney function is described. In the end, research and technological advancements are explained to address current challenges and enable its widespread implementation.

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Rheumatic heart disease (RHD) continues to affect developing countries with low income due to the lack of resources and effective diagnostic techniques. Understanding the genetic basis common to both the diseases and that of progression from its prequel disease state, Acute Rheumatic Fever (ARF), would aid in developing predictive biomarkers and improving patient care. To gain system-wide molecular insights into possible causes for progression, in this pilot study, we collected blood transcriptomes from ARF (5) and RHD (5) patients. Using an integrated transcriptome and network analysis approach, we identified a subnetwork comprising the most significantly differentially expressed genes and most perturbed pathways in RHD compared to ARF. For example, the chemokine signaling pathway was seen to be upregulated, while tryptophan metabolism was found to be downregulated in RHD. The subnetworks of variation between the two conditions provide unbiased molecular-level insights into the host processes that may be linked with the progression of ARF to RHD, which has the potential to inform future diagnostics and therapeutic strategies. We also found a significantly raised neutrophil/lymphocyte ratio in both ARF and RHD cohorts. Activated neutrophils and inhibited Natural Killer cell gene signatures reflected the drivers of the inflammatory process typical to both disease conditions.

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The global spread of coronavirus illness has surged dramatically, resulting in a catastrophic pandemic situation. Despite this, accurate screening remains a significant challenge due to difficulties in categorizing infection regions and the minuscule difference between typical pneumonia and COVID (Coronavirus Disease) pneumonia. Diagnosing COVID-19 using the Mask Regional-Convolutional Neural Network (Mask R-CNN) is proposed to classify the chest computerized tomographic (CT) images into COVID-positive and COVID-negative. Covid-19 has a direct effect on the lungs, causing damage to the alveoli, which leads to various lung complications. By fusing multi-class data, the severity level of the patients can be classified using the meta-learning few-shot learning technique with the residual network with 50 layers deep (ResNet-50) as the base classifier. It has been tested with the outcome of COVID positive chest CT image data. From these various classes, it is possible to predict the onset possibilities of acute COVID lung disorders such as sepsis, acute respiratory distress syndrome (ARDS), COVID pneumonia, COVID bronchitis, etc. The first method of classification is proposed to diagnose whether the patient is affected by COVID-19 or not; it achieves a mean Average Precision (mAP) of 91.52% and G-mean of 97.69% with 98.60% of classification accuracy. The second method of classification is proposed for the detection of various acute lung disorders based on severity provide better performance in all the four stages, the average accuracy is of 95.4%, the G-mean for multiclass achieves 94.02%, and the AUC is 93.27% compared with the cutting-edge techniques. It enables healthcare professionals to correctly detect severity for potential treatments.

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Diabetic foot ulcers are challenging to treat. Current strategies to treat these wounds focus on preventing infection and promoting tissue regrowth but are ineffective in many individuals. Low-grade chronic inflammation is present in individuals with diabetes, and altering the inflammatory responses at the wound site could be an alternate approach to promote healing. We hypothesized that immunomodulation of the wound microenvironment would result in accelerated healing. To test this hypothesis, we began by characterizing the changes in the myeloid cell phenotype in a mouse model [leptin receptor knockout (KO) mouse] that closely mimics the type 2 diabetes condition observed in humans. We observed increased numbers of monocytes and neutrophils in the circulation of the KO mice compared to that in wild-type control mice. We also observed several phenotypic changes in neutrophils from the KO diabetic mice, suggesting low-grade systemic inflammation. Hence, we developed a rapamycin-loaded chitosan scaffold that may be used to modulate immune responses. The use of these immunomodulatory scaffolds at a wound site resulted in accelerated healing compared to the healing using blank scaffolds. In summary, our data suggest that immunomodulation may be a viable strategy to promote the healing of wounds in individuals with diabetes.

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INTRODUCTION: The conceptualisation of healthy ageing phenotype (HAP) and the availability of a tentative panel for HAP biomarkers raise the need to test the efficacy of potential interventions to promote health in older adults. This study protocol reports the methodology for a 24-week programme to explore the holistic influence of the yoga-based intervention on the (bio)markers of HAP. METHODS AND ANALYSIS: The study is a two-armed, randomised waitlist controlled trial with blinded outcome assessors and multiple primary outcomes. We aim to recruit 250 subjects, aged 60-80 years from the residential communities and old age clubs in Bangalore city, India, who will undergo randomisation into intervention or control arms (1:1). The intervention will include a yoga-based programme tailored for the older adults, 1 hour per day for 6 days a week, spread for 24 weeks. Data would be collected at the baseline and post-intervention, the 24th week. The multiple primary outcomes of the study are the (bio)markers of HAP: glycated haemoglobin, low-density lipoprotein cholesterol (LDL-C), systolic blood pressure, and forced expiratory volume in 1 s for physiological and metabolic health; Digit Symbol Substitution Test, Trail Making Tests A and B for cognition; hand grip strength and gait speed for physical capability; loneliness for social well-being and WHO Quality of Life Instrument-Short Form for quality of life. The secondary outcomes include inflammatory markers, tumour necrosis factor-alpha receptor II, C reactive protein, interleukin 6 and serum Klotho levels. Analyses will be by intention-to-treat and the holistic impact of yoga on HAP will be assessed using global statistical test. ETHICS AND DISSEMINATION: The study is approved by the Institutional Ethics Committee of Swami Vivekananda Yoga Anusandhana Samsthana University, Bangalore (ID: RES/IEC-SVYASA/143/2019). Written informed consent will be obtained from each participant prior to inclusion. Results will be available through research articles and conferences. TRIAL REGISTRATION NUMBER: CTRI/2021/02/031373.

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OBJECTIVE: To develop a device for quantifying sweats urea concentration. APPROACH: The proposed optical device uses light source, light sensor with time and intensity controlled operation. Sweat samples are collected from a group of volunteers belonging to control and diabetes. After sedimentation and suitable pre-processing, sweat samples are irradiated by primary colour light sources operated sequentially. Reflected light intensity is used to compute the sweat urea concentration. At first the test is performed using aqueous solution with known urea concentration. After ascertaining the correctness of the device, the same test procedure is repeated for sweat samples collected from 90 volunteers (30 per group) belonging to controls, type II diabetes less than 5 years and type II diabetes for more than 5 years. MAIN RESULTS: Computed urea concentration when compared with standard lab techniques like UV-visible absorption spectroscopy and colorimeter, a correlation of 98% with error less than 3% is achieved. The results also demonstrate an elevation in sweat urea level with years of diabetes, in spite of the serum urea level being within limits. We extended the study on a few kidney disease subjects and observed the influence of blood glucose on urea. SIGNIFICANCES: Diabetic kidney disease is one result of prolonged elevation in blood glucose levels. When insulin secretion reduces, the serum urea level increases and vice versa is also true. Hence, monitoring urea level in blood is important in diabetic subjects. Any change in serum urea will have an impact on sweat urea concentration. Therefore, the proposed device can be used to measure sweat urea periodically, so that any change can be observed at an early stage and diabetic nephropathy could be prevented at large.

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Early diagnosis of Parkinson's disease (PD) plays a critical role in effective disease management and delayed disease progression. This study reports a technique that could diagnose and differentiate PD from essential tremor (ET) in its earlier stage using a non-motor phenotype. Autonomic dysfunction, an early symptom in PD patients, is caused by α-synuclein pathogenesis in the central nervous system and can be diagnosed using skin vasomotor response to cold stimuli. In this study, the investigations were performed using data collected from 20 PD, 20 ET and 20 healthy subjects. Infrared thermography was used for the cold stress test to observe subjects' hand temperature before and after cold stimuli. The results show that the recovery rate of hand temperature was significantly different between the groups. The data obtained in the cold stress test were verified using Pearson's cross-correlation technique, which showed that few disease parameters like medication and motor rating score had an impact on the recovery rate of hand temperature in PD subjects. The characteristics of the three groups were compared and classified using the k-means clustering algorithm. The sensitivity and specificity of these techniques were analyzed using an Receiver Operating Characteristic (ROC) curve analyzer. These results show that this non-invasive technique can be used as an effective tool in the diagnosis and differentiation of PD in its early stage.

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Four ferns Blechnum orientale Linn. (BO), Dicranopteris linearis (Burm.f ) Underw. (DL), Marattia fraxinea Sm. (MF), and Microlepia speluncae (L.) Moore (MS) were extracted in varied combination of organic solvents followed by the preparation of eluates and isolation of secondary metabolites using chromatography on a glass column with silica gel as the fixed phase. The chemical components were identified using HPTLC and GC-MS analysis. The in vitro anti-trematodal activities of these eluates and compounds were evaluated against the sheep trematode worm Gastrothylax crumenifer (Plagiorrchiida: Gastrothylacidae) at increasing concentrations (1 to 5 mg/mL), to find the relative motility (RM) values for 0 to 60 min of incubation as reflection of paralysis and death of the worms. Hedon-Fleig salt solution was used as negative control and Oxyclozanide® 1% as standard control. In vitro incubation study showed DL and MS extracts had strong trematodicidal activity. BO extract (5 mg/mL) produced moderate trematodicidal activity and MF (5 mg/mL) showed the least trematodicidal activity. Phytochemicals analysis revealed that the ferns are a potential source of trematodicidal compounds such as phytol isomers fern-8-ene and fern-9(11)-ene (terpenoid derivative), quercetin 7,3 ́,4 ́-trimethoxy (flavonoid derivative), etc., which offer scope for a more elaborate study for exploitation of ferns for human welfare.

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A study to evaluate the relationship between the spiritual intelligence and adjustment among the college students was conducted on a sample of 250 students in six various colleges of Tuticorin district, Tamil Nadu, India. Gender, religion, community, major subject, educational qualification of father and mother, student locality, college type, father and mother's occupation and monthly family income (n = 11 variables) were chosen for the study. Test of significance for spiritual intelligence and adjustment was studied and found them nonsignificant except student locality, found to be significant. Two valid and reliable instruments were used to assess student's spiritual intelligence and adjustment. Correlation and Chi-square analysis using structural equation model were used to analyze these data. Correlation analysis showed significant relationship between the variables among the college students (n = 250). Chi-square analysis of association between adjustments of college students showed that most variables are nonsignificant unlike father's educational qualification and mother's occupation. The results disclosed the significant positive relationship with spiritual intelligence and adjustment among adolescents.

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Due to depleting reserves of fossil fuels, political uncertainties, increase in demand of energy needs and growing concerns of environmental effects, bioenergy as an alternative source of energy needs had taken centre stage globally. In this report, we review the progress made in lignocellulose, cellulose and fermentation based biofuels in addition to tree borne oil seeds. Algae as a source of feedstock for the biofuel has also been reviewed. Recent efforts in genome sequencing of biofuel crops and molecular breeding approaches have increased our understanding towards crop improvement of major feedstocks. Besides, patenting trends in bioenergy sector were assessed by patent landscape analysis. The results showed an increasing trend in published patents during the last decade which is maximum during 2011. A conceptual framework of "transgenesis in biofuels to industrial application" was developed based on the patent analytics viz., International Patent Classification (IPC) analysis and Theme Maps. A detailed claim analysis based on the conceptual framework assessed the patenting trends that provided an exhaustive dimension of the technology. The study emphasizes the current thrust in bioenergy sector by various public and private institutions to expedite the process of biofuel production.

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