48 results on '"Ramasubramanian B"'
Search Results
2. An Efficient System for Grading Diabetic Retinopathy by Detecting the Location of Lesions
- Author
-
Ramasubramanian, B., Hemanand, D., Kavinkumar, K., Muthu Manjula, M., Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Pandit, Manjaree, editor, Gaur, M. K., editor, and Kumar, Sandeep, editor
- Published
- 2023
- Full Text
- View/download PDF
3. Automatic identification and classification of brain tumor using MRI images through transfer learning.
- Author
-
Priyadharshini, K., Dhamodaran, M., Kaviyapriya, S., Harini, R., Kaviya, V., and Ramasubramanian, B.
- Subjects
BRAIN tumors ,AUTOMATIC identification ,TUMOR classification ,MAGNETIC resonance imaging ,AUTOMATIC classification - Abstract
Brain tumors are the most common and antagonistic disease. As a result, its duration is limited. In this way, exact brain tumor distinguishing proof is fundamental for conceiving a genuine therapy methodology to fix and expand the existence of individuals with cerebrum tumors. The goal of data augmentation and fine-tuning methods is to separate and classify tumors. In this paper, we perform brain tumor classification in the proposed framework using Jupiyter Notebook using four different types of brain tumor datasets obtained from Kaggle. The proposed work employs three different Convolutional Neural Networks (CNN) architectures, namely Alex Net, Google Net, and VGG-16Net, on MRI slices to identify tumor types. It is observed that the proposed method achieved an accuracy of 98.74% for VGG-16 Net which is comparatively high than the state of art tumor detection method. The developed method is also compared with two other transfer learning networks such as Alex Net and Google Net. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. A novel deep learning based approach for object detection using mask R-CNN in moving images.
- Author
-
Raja, E., Gandhimathi, G., Sriram, A., Ramasubramanian, B., and Priyadharshini, K.
- Subjects
OBJECT recognition (Computer vision) ,DEEP learning ,MACHINE learning ,OPTICAL character recognition ,AUTOMOBILE license plates ,DATABASES - Abstract
In this smart world, Industries, institutions like college or universities and many other organizations hold back in keeping a proper record of which vehicle is entering and leaving the campus as all of it is still done by using the manual method of writing down it in a diary or so. With the motive to provide a solution to this problem, the system has been devised with an advanced live camera surveillance system that would track down the license plate number of every vehicle entering and leaving the premises and maintain a record of it digitally. Along with the licence plate number, the check in and check out time of every individual vehicle will be automatically feed into the database thus maintaining a pin-point clear record of all the vehicles moving in and out of the campus. The custom algorithm ensures that even high speed of the vehicles can't disrupt the accuracy and precision of the system. Deep Learning Algorithms are used for detecting the number plates and OCR (Optical Character Recognition) for extracting the text in Licence plates. With the help of the system, the entire tracking process is fully digitalized reducing the manpower and enhancing security standards by providing analytical tracking of which vehicle have left the campus and which haven't after check-in. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
5. A Comprehensive Analysis of Various Delineation method for Exudates in Fundus Images using Miniaturized Pi Board
- Author
-
Ramasubramanian, B, primary, Elangovan, K, additional, Hemaanand, D, additional, and Kavin Kumar, K, additional
- Published
- 2023
- Full Text
- View/download PDF
6. 3D Printed Face Shield
- Author
-
Mohanraj R, Ramasubramanian B, Sutharsen TS, Ajay M, and Prof. Aarthy Gunasekar
- Abstract
In the fourth industrial revolution, a sort of printing technology that has the potential to transform the manufacturing industry is 3D printing. It takes just a few hours to develop a new product with this technology which might take days and months with traditional technologies. This research highlights a low-cost 3D printer’s design and its working. The whole printer was developed to make it less expensive than similar products already on the market. The results show that low-cost printers with good accuracy can be designed. Keywords: 3D printing, Face shield, CAD Software, stereo lithography, fused deposition manufacturing
- Published
- 2022
7. Privacy and authentication security for IoT systems.
- Author
-
Babu, R. Ganesh, Ramasubramanian, B., Karunakaran, A., Sarumathi, D., Priya, M. Shanmuga, and Poornisha, N.
- Subjects
- *
SECURITY systems , *INTERNET of things , *PRIVACY , *ACCESS to information , *MONOPOLIES - Abstract
Internet of things (IoT) speaks to the frameworks which are associated by several gadgets, having sensors and actuators by the wired or small organization. More than 30 million gadgets are associated together. By 2025, IoT will be one of the innovations, that is quickly developing in the most recent decade. One of the most fragile parts in IoT is the "security". IoT frameworks do not have the security for the information they gather, store and offer over the organization. Giving security has become a significant test. Forestalling the unapproved access of information is dealing with over-burdening of solicitations for access by the approved client. To move towards these difficulties for executing made sure about IoT climate, propose an incorporated framework for permitting just approved client to get to the IoT frameworks, utilizing cryptography and examine and keep up logs of the client action with a unified framework and IoT framework. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
8. An efficient approach for the detection of retinopathy of prematurity using deep learning networks.
- Author
-
Ramasubramanian, B., Babu, R. Ganesh, Priyadarshini, S., and Vinotha, V.
- Subjects
- *
DEEP learning , *RETROLENTAL fibroplasia , *LOW birth weight , *SCREEN time , *RETINAL diseases - Abstract
Retinopathy of Prematurity (ROP) is a major cause of blindness in infants. This disease is a vascular proliferative retinal disease which causes damages to low birth weight children and premature children. The Objective of this proposed system is to develop an efficient automated screening system for diagnosis of ROP by different deep learning network. First, the input color images are captured from the diabetic patients. Then, the acquired images are given as an input to the preprocessing stage for improvement. The Preprocessed noise free color images are applied to the Deep Learning Network for the detection of presence of ROP. Five different deep learning networks such as VGG-16, VGG-19, AlexNet, GoogLeNet and MobileNet are deployed for the classification of normal and abnormal images. The best system out of these five networks will be identified after calculating the evaluation parameters like Accuracy, Precision, Sensitivity, Specificity, ROC AUC. The proposed system is compared with the existing deep learning work and it is found that our proposed system outperforms than all other existing system. This developed Deep Learning CAD system will be a proven affordable technology for the ophthalmologists since it consumes less time in screening for ROP. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
9. Bird repeller for agriculture lands and orchards.
- Author
-
Krishnan, T., Nandhu, M., Kumar, R. Kishore, Asokan, J., Chellaswamy, C., and Ramasubramanian, B.
- Subjects
GRAIN farming ,AGRICULTURE ,OBJECT recognition (Computer vision) ,MOTION detectors ,BERRIES ,FIELD crops ,WHEAT ,CORN - Abstract
The economy of the countries like India, China, Nepal, and Indonesia has a huge dependency on agriculture. So it is important to increase or keep a stable production of food commodities like rice, wheat, corn, barley, and fruits like apples, berries, grapes in vineyards and etc. But apart from climatic changes and plant disease bird pest is one of the problems in crop field and fruit farms. Because every year a considerable amount of production of crops and fruits is consumed and wasted by birds. The existing systems are utilizing motion sensors, IR sensors, and PIR sensors are used in the existing systems. The problem with the existing system they can't identify the object. Because of that no matter what interferes with the sensors it will alarm and starts sounding. So this paper has been providing a solution to the problems of existing systems in the way of neural networks and deep learning to protect the grains and fruits in the farming environment from birds. In this method, the system utilizes a visual unit, power unit, acoustic speaker unit, and control and processing unit. The processing unit contains a program that is based on the DNN object detection algorithm and a dataset called COCO-Common Objects in Context. With the help of peripherals and programs, it can able to detects birds in its range. The DNN Detection model is detecting the moving subject. If any birds are detected from the video feed a threat sound is broadcasted throughout the surrounding. This could be an effective solution for bird pest problems in agriculture fields. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
10. Smart River Water Quality and Level Monitoring: a Hybrid Neural Network Approach
- Author
-
Chellaswamy C, Geetha T S, Ramasubramanian B, Dhelipan Raj A, Dhilipkumar S, and Koushikkaran K
- Published
- 2023
11. Optimized Convolutional Neural Network based Multiple Eye Disease Detection and Information Sharing System
- Author
-
Chellaswamy, C, primary, Geetha, T S, additional, Ramasubramanian, B, additional, Abirami, R, additional, Archana, B, additional, and Divya Bharathi, A, additional
- Published
- 2022
- Full Text
- View/download PDF
12. Modelling and simulation of vaccine distribution: a COVID-19 situation
- Author
-
Narassima, M.S., primary, Anbuudayasankar, S.P., additional, Balaji, K.S., additional, and Ramasubramanian, B., additional
- Published
- 2021
- Full Text
- View/download PDF
13. A demand-based relocation of warehouses and green routing
- Author
-
Balaji, K.S., primary, Ramasubramanian, B., additional, Vinay, M. Sai Satya, additional, Reddy, D. Tejesh, additional, Dheeraj, Ch., additional, Subash, K. Teja, additional, and Anbuudayasankar, S.P., additional
- Published
- 2021
- Full Text
- View/download PDF
14. SIMULTANEOUS NETWORK RECONFIGURATION AND PMU PLACEMENT IN THE RADIAL DISTRIBUTION SYSTEM
- Author
-
Ganesh, S., primary, Vengatesan, V., additional, Richard Jimreeves, Js. and, additional, and Ramasubramanian, B., additional
- Published
- 2020
- Full Text
- View/download PDF
15. A stand-alone MATLAB application for the detection of Optic Disc and macula
- Author
-
Ramasubramanian, B., primary and Selvaperumal, S., additional
- Published
- 2016
- Full Text
- View/download PDF
16. A comprehensive review on various preprocessing methods in detecting diabetic retinopathy
- Author
-
Ramasubramanian, B., primary and Selvaperumal, S., additional
- Published
- 2016
- Full Text
- View/download PDF
17. A novel approach for automated detection of exudates using retinal image processing
- Author
-
Ramasubramanian, B., primary, Arunmani, G., additional, Ravivarma, P., additional, and Rajasekar, E., additional
- Published
- 2015
- Full Text
- View/download PDF
18. A Novel Efficient Approach for the Screening of New Abnormal Blood Vessels in Color Fundus Images
- Author
-
Ramasubramanian, B., primary and Selvaperumal, S., additional
- Published
- 2014
- Full Text
- View/download PDF
19. An efficient system for the detection of exudates in colour fundus images using image processing technique
- Author
-
Ravivarma, P., primary, Ramasubramanian, B., additional, Arunmani, G., additional, and Babumohan, B., additional
- Published
- 2014
- Full Text
- View/download PDF
20. An Early Screening System for the Detection of Diabetic Retinopathy using Image Processing
- Author
-
Ramasubramanian, B., primary and Prabhakar, G., primary
- Published
- 2013
- Full Text
- View/download PDF
21. An Efficient Integrated Approach for the Detection of Exudates and Diabetic Maculopathy in Colour fundus Images
- Author
-
Ramasubramanian, B, primary
- Published
- 2012
- Full Text
- View/download PDF
22. An Efficient Approach for Real Time Tracking of Intruder and Abandoned Object in Video Surveillance System
- Author
-
Prabhakar, G., primary and Ramasubramanian, B., primary
- Published
- 2012
- Full Text
- View/download PDF
23. A novel approach for the detection of new vessels in the retinal images for screening Diabetic Retinopathy
- Author
-
Saranya, K., primary, Ramasubramanian, B., additional, and Kaja Mohideen, S., additional
- Published
- 2012
- Full Text
- View/download PDF
24. Applications of Artificial Intelligence and E-Services Infrastructure to Distribution Automation.
- Author
-
Khedkar, M.K., Ramasubramanian, B., Iyer, G., Rajeshwaran, K., and Nagpurkar, S.
- Published
- 2009
- Full Text
- View/download PDF
25. Comparison of energy relaxation in one-dimensional thermionic and tunneling transistors.
- Author
-
Ramasubramanian, B. and Pop, E.
- Published
- 2009
26. A New Wide input-range FGMOS based Four quadrant Multiplier with Electrical Error Correction.
- Author
-
Ramasubramanian, B.
- Published
- 2007
- Full Text
- View/download PDF
27. Outcomes associated with stroke volume variation versus central venous pressure guided fluid replacements during major abdominal surgery
- Author
-
Lakshmi Kumar, Sunil Rajan, and Ramasubramanian Baalachandran
- Subjects
Abdominal surgery, central venous pressure, stroke volume variation ,Anesthesiology ,RD78.3-87.3 ,Pharmacy and materia medica ,RS1-441 - Abstract
Background and Aims: There is limited data on the impact of perioperative fluid therapy guided by dynamic preload variables like stroke volume variation (SVV) on outcomes after abdominal surgery. We studied the effect of SVV guided versus central venous pressure (CVP) guided perioperative fluid administration on outcomes after major abdominal surgery. Material and Methods: Sixty patients undergoing major abdominal surgeries were randomized into two equal groups in this prospective single blind randomized study. In the standard care group, the CVP was maintained at 10-12 mmHg while in the intervention group a SVV of 10% was achieved by the administration of fluids. The primary end-points were the length of Intensive Care Unit (ICU) and hospital stay. The secondary end points were intraoperative lactate, intravenous fluid use, requirement for inotropes, postoperative ventilation and return of bowel function. Results: The ICU stay was significantly shorter in the intervention group as compared to the control group (2.9 ± 1.15 vs. 5.4 ± 2.71 days). The length of hospital stay was also shorter in the intervention group, (9.9 ± 2.68 vs. 11.96 ± 5.15 days) though not statistically significant. The use of intraoperative fluids was significantly lower in the intervention group than the control group (7721.5 ± 4138.9 vs. 9216.33 ± 2821.38 ml). Other secondary outcomes were comparable between the two groups. Conclusion: Implementation of fluid replacement guided by a dynamic preload variable (SVV) versus conventional static variables (CVP) is associated with lesser postoperative ICU stay and reduced fluid requirements in major abdominal surgery.
- Published
- 2016
- Full Text
- View/download PDF
28. Are active warming measures required during paediatric cleft surgeries?
- Author
-
Sunil Rajan, Ramachandra Halemani, Nitu Puthenveettil, Ramasubramanian Baalachandran, Priyanka Gotluru, and Jerry Paul
- Subjects
Active warming ,hyperthermia ,hypothermia ,paediatric cleft surgeries ,Anesthesiology ,RD78.3-87.3 - Abstract
Background: During paediatric cleft surgeries intraoperative heat loss is minimal and hence undertaking all possible precautions available to prevent hypothermia and use of active warming measures may result in development of hyperthermia. This study aims to determine whether there will be hyperthermia on active warming and hypothermia if no active warming measures are undertaken. The rate of intraoperative temperature changes with and without active warming was also noted. Methods: This study was conducted on 120 paediatric patients undergoing cleft lip and palate surgeries. In Group A, forced air warming at 38°C was started after induction. In Group B, no active warming was done. Body temperature was recorded every 30 min starting after induction until 180 min or end of surgery. Intragroup comparison of variables was done using Paired sample test and intergroup comparison using independent sample t-test. Results: In Group A, all intraoperative temperature readings were significantly higher than baseline. In Group B, there was a significant reduction in temperature at 30 and 60 min. Temperature at 90 min did not show any significant difference, but further readings were significantly higher. Maximum rise in temperature occurred in Group A between 120 and 150 min and maximum fall in temperature in Group B was seen during first 30 min. Conclusion: In pediatric cleft surgeries, we recommend active warming during the first 30 minutes if the surgery is expected to last for 2h.
- Published
- 2013
- Full Text
- View/download PDF
29. Mixed-swing quadrail for low power dual-rail domino logic
- Author
-
Ramasubramanian, B., primary, Schmit, H., additional, and Carley, L.R., additional
- Full Text
- View/download PDF
30. Preparation of PLGA Microspheres Using the Non-Toxic Glycofurol as Polymer Solvent by a Modified Phase Inversion Methodology.
- Author
-
Sobel D, Ramasubramanian B, Sawhney P, and Parmar K
- Abstract
Poly(D,L-lactide-co-glycolide is a biodegradable copolymer that can release pharmaceuticals. These pharmaceuticals can provide local therapy and also avert the clinical issues that occur when a drug must be given continuously and/or automatically. However, the drawbacks of using poly(D,L-lactide-co-glycolide include the kinetics and duration of time of poly(D,L-lactide-co-glycolide drug release, the denaturing of the drug loaded drug, and the potential clinical side effects. These drawbacks are mainly caused by the volatile organic solvents needed to prepare poly(D,L-lactide-co-glycolide spheres. Using the non-toxic solvent glycofurol solvent instead of volatile organic solvents to construct poly(D,L-lactide-co-glycolide microspheres may deter the issues of using volatile organic solvents. Up to now, preparation of such glycofurol spheres has previously met with limited success. We constructed dexamethasone laden poly(D,L-lactide-co-glycolide microspheres utilizing glycofurol as the solvent within a modified phase inversion methodology. These prepared microspheres have a higher drug load and a lower rate of water diffusion. This prolongs drug release compared to dichloromethane constructed spheres. The glycofurol-generated spheres are also not toxic to target cells as is the case for dichloromethane-constructed spheres. Further, glycofurol-constructed spheres do not denature the dexamethasone molecule and have kinetics of drug release that are more clinically advantageous, including a lower drug burst and a prolonged drug release.
- Published
- 2024
- Full Text
- View/download PDF
31. Synthesis and Characterization of Ferrous and Copper Nanoparticles from E-Waste Using Biological Reduction by Lichen-Associated Bacteria and Their Application in Antifouling Activity.
- Author
-
Subbaiyan R, Ganesan A, Sasikumar B, Rajendran S, and Ramasubramanian B
- Subjects
- Humans, Male, Copper pharmacology, Copper chemistry, Prostate-Specific Antigen, Bacteria, Lichens, Electronic Waste analysis, Biofouling prevention & control, Nanoparticles
- Abstract
The largest and fastest growing industry in the world is electronic industries and the generation of waste are emerging problem. Electronic wastes are the source of precious metals that contributes 40 to 50 times more than the ore extracted from mines. The recycling of the waste is very important as it can protect the earth's natural resources. There are various methods for recycling e-waste such as chemical, fire, physical, and mechanical method. Currently, chemical treatment is in practice for recycling but, due to the usage of inorganic chemicals, it gives more environmental issues. Therefore, this paper used the biological method to prepare the nanoparticle from e-waste as it is an eco-friendly method. The copper and ferrous nanoparticle was extracted from the e-waste and biologically reduced using lichen-associated bacterial such as Parmotrema tintorum and P. recticulatum. The characteristics of these nanoparticles such as size, shape, and functional group were analyzed using UV, PSA, SEM, and FTIR respectively. The size of the synthesized particle was in the range of 10-100 nm using PSA. At the 2.5% concentration, the synthesis of ferrous nanoparticles was confirmed by the peak value obtained at 430 nm and 540 nm for copper nanoparticles. The antifouling properties of synthesized nanoparticles were analyzed by colliding them with the paint and applying to the iron surface. In recent research, the nanomaterials were able to use to reduce the fouling activity, also prevent harmful effects to the other marine species and the resistance of some microorganisms to antifoulants. This study helps to prevent environmental contaminants by using the copper and ferrous nanoparticle substances synthesized from the e-waste materials with the help of bacterial reduction., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Published
- 2023
- Full Text
- View/download PDF
32. Advances in Electrospun Materials and Methods for Li-Ion Batteries.
- Author
-
Senthilkumar SH, Ramasubramanian B, Rao RP, Chellappan V, and Ramakrishna S
- Abstract
Electronic devices commonly use rechargeable Li-ion batteries due to their potency, manufacturing effectiveness, and affordability. Electrospinning technology offers nanofibers with improved mechanical strength, quick ion transport, and ease of production, which makes it an attractive alternative to traditional methods. This review covers recent morphology-varied nanofibers and examines emerging nanofiber manufacturing methods and materials for battery tech advancement. The electrospinning technique can be used to generate nanofibers for battery separators, the electrodes with the advent of flame-resistant core-shell nanofibers. This review also identifies potential applications for recycled waste and biomass materials to increase the sustainability of the electrospinning process. Overall, this review provides insights into current developments in electrospinning for batteries and highlights the commercialization potential of the field.
- Published
- 2023
- Full Text
- View/download PDF
33. Emerging Materials, Wearables, and Diagnostic Advancements in Therapeutic Treatment of Brain Diseases.
- Author
-
Ramasubramanian B, Reddy VS, Chellappan V, and Ramakrishna S
- Subjects
- Humans, Quality of Life, Brain diagnostic imaging, Brain pathology, Drug Carriers, Brain Diseases diagnosis, Brain Diseases therapy, Brain Diseases pathology, Wearable Electronic Devices
- Abstract
Among the most critical health issues, brain illnesses, such as neurodegenerative conditions and tumors, lower quality of life and have a significant economic impact. Implantable technology and nano-drug carriers have enormous promise for cerebral brain activity sensing and regulated therapeutic application in the treatment and detection of brain illnesses. Flexible materials are chosen for implantable devices because they help reduce biomechanical mismatch between the implanted device and brain tissue. Additionally, implanted biodegradable devices might lessen any autoimmune negative effects. The onerous subsequent operation for removing the implanted device is further lessened with biodegradability. This review expands on current developments in diagnostic technologies such as magnetic resonance imaging, computed tomography, mass spectroscopy, infrared spectroscopy, angiography, and electroencephalogram while providing an overview of prevalent brain diseases. As far as we are aware, there hasn't been a single review article that addresses all the prevalent brain illnesses. The reviewer also looks into the prospects for the future and offers suggestions for the direction of future developments in the treatment of brain diseases.
- Published
- 2022
- Full Text
- View/download PDF
34. Mechanisms of pulmonary endothelial permeability and inflammation caused by extracellular histone subunits H3 and H4.
- Author
-
Ramasubramanian B, Kim J, Ke Y, Li Y, Zhang CO, Promnares K, Tanaka KA, Birukov KG, Karki P, and Birukova AA
- Subjects
- Animals, Endothelium, Vascular metabolism, Guanine Nucleotide Exchange Factors metabolism, Humans, Mice, Permeability, Histones metabolism, Inflammation metabolism
- Abstract
Extracellular DNA-binding proteins such as histones are danger-associated molecular pattern released by the injured tissues in trauma and sepsis settings, which trigger host immune response and vascular dysfunction. Molecular events leading to histone-induced endothelial cell (EC) dysfunction remain poorly understood. This study performed comparative analysis of H1, H2A, H2B, H3, and H4 histone subunits effects on human pulmonary EC permeability and inflammatory response. Analysis of transendothelial electrical resistance and EC monolayer permeability for macromolecues revealed that H3 and H4, but not H1, H2A, or H2B caused dose-dependent EC permeability accompanied by disassembly of adherens junctions. At higher doses, H3 and H4 activated nuclear factor kappa B inflammatory cascade leading to upregulation EC adhesion molecules ICAM1, VCAM1, E-selectin, and release of inflammatory cytokines. Inhibitory receptor analysis showed that toll-like receptor (TLR) 4 but not TLR1/2 or receptor for advanced glycation end inhibition significantly attenuated deleterious effects of H3 and H4 histones. Inhibitor of Rho-kinase was without effect, while inhibition of Src kinase caused partial preservation of cell-cell junctions, H3/H4-induced permeability and inflammation. Deleterious effects of H3/H4 were blocked by heparin. Activation of Epac-Rap1 signaling restored EC barrier properties after histone challenge. Intravenous injection of histones in mice caused elevation of inflammatory markers and increased vascular leak. Post-treatment with pharmacological Epac/Rap1 activator suppressed injurious effects of histones in vitro and in vivo. These results identify H3 and H4 as key histone subunits exhibiting deleterious effects on pulmonary vascular endothelium via TLR4-dependent mechanism. In conclusion, elevation of circulating histones may represent a serious risk of exacerbated acute lung injury (ALI) and multiple organ injury during severe trauma and infection., (© 2022 Federation of American Societies for Experimental Biology.)
- Published
- 2022
- Full Text
- View/download PDF
35. Protective Effects of Chaya against Mitochondrial and Synaptic Toxicities in the Type 2 Diabetes Mouse Model TallyHO.
- Author
-
Ramasubramanian B, Griffith C, Hanson M, Bunquin LE, Reddy AP, Hegde V, and Reddy PH
- Subjects
- Animals, Disease Models, Animal, Female, Glucose metabolism, Humans, Male, Mice, Mice, Inbred Strains, Mitochondria metabolism, Obesity metabolism, Diabetes Mellitus, Experimental metabolism, Diabetes Mellitus, Type 2 metabolism
- Abstract
The purpose of our study is to determine the protective effects of the chaya leaf against mitochondrial abnormalities and synaptic damage in the Type 2 diabetes (T2D) mouse model, TallyHO (TH). The TH mouse is a naturally occurring polygenic mouse model of diabetes that mimics many characteristics of human Type 2 diabetes. Only male TH mice develop hyperglycemia and moderate obesity. Female mice display moderate obesity but do not manifest overt diabetes. In this study, we evaluated three groups of mice over a period of 11 weeks: (1) the experimental group of TH diabetic mice fed with chaya chow; (2) a diabetic control group of TH diabetic mice fed with regular chow; and (3) a non-diabetic control group of SWR/J mice fed with regular chow. Body mass and fasting blood glucose were assessed weekly. Brain and other peripheral tissues were collected. Using qRT-PCR and immunoblotting analyses, we measured the mRNA abundance and protein levels of mitochondrial biogenesis, mitochondrial dynamics, autophagy/mitophagy, and synaptic genes. Using immunofluorescence analysis, we measured the regional immunoreactivities of mitochondrial and synaptic proteins. Using biochemical methods, we assessed mitochondrial function. We found increased body mass and fasting glucose levels in the TH diabetic mice relative to the non-diabetic control SWRJ mice. In chaya chow-fed TH diabetic mice, we found significantly reduced body mass and fasting glucose levels. Mitochondrial fission genes were increased and fusion, biogenesis, autophagy/mitophagy, and synaptic genes were reduced in the TH mice; however, in the chaya chow-fed TH diabetic mice, mitochondrial fission genes were reduced and fusion, biogenesis, autophagy/mitophagy, and synaptic genes were increased. Mitochondrial function was defective in the diabetic TH mice; however, it was rescued in the chaya chow-fed TH mice. These observations strongly suggest that chaya chow reduces the diabetic properties, mitochondrial abnormalities, and synaptic pathology in diabetic, TH male mice. Our data strongly indicates that chaya can be used as natural supplemental diet for prediabetic and diabetic subjects and individuals with metabolic disorders.
- Published
- 2022
- Full Text
- View/download PDF
36. Early Cellular, Molecular, Morphological and Behavioral Changes in the Humanized Amyloid-Beta-Knock-In Mouse Model of Late-Onset Alzheimer's Disease.
- Author
-
Kshirsagar S, Alvir RV, Hindle A, Kumar S, Vijayan M, Pradeepkiran JA, Reddy AP, Ramasubramanian B, and Reddy PH
- Subjects
- Amyloid beta-Peptides metabolism, Animals, Disease Models, Animal, Mice, Mice, Transgenic, Neurons metabolism, RNA, Messenger metabolism, Alzheimer Disease metabolism
- Abstract
The purpose of our study is to investigate early cellular, molecular, morphological and behavioral changes in humanized amyloid-beta-knock-in (hAbKI) mice. Using seven-month-old homozygous hAbKI mice, we studied behavioral phenotype parameters, including spatial learning and memory (Morris Water Maze), locomotor activity (open field), working memory (Y-maze) and motor coordination (rotarod); mRNA abundance, protein levels, soluble amyloid-beta 40 and 42 levels and regional immunoreactivities of key markers of mitochondrial dynamics, mitochondrial biogenesis, synaptic health, mitophagy and autophagy; mitochondrial function and using transmission electron microscopy & Golgi-Cox staining, we assessed mitochondrial morphology and dendritic spines. Our extensive behavioral analysis revealed that seven-month-old hAbKI mice showed impairments in motor coordination, reduced locomotor and exploration activities, impairments in working memory and spatial learning and memory. Our mRNA and protein analyses revealed the increased expression of mitochondrial-fission genes and reduced expression of mitochondrial-fusion, mitochondrial-biogenesis, synaptic, autophagy and mitophagy genes in seven-month-old hAbKI mice. An immunofluorescence analysis revealed altered immunoreactivities and agreed with the immunoblot results. Transmission-electron-microscopy data revealed increased mitochondrial fragmentation and reduced mitochondrial length in both hippocampal and cortical tissues of seven-month-old hAbKI mice and mitochondrial function defective. A Golgi-Cox-staining analysis revealed reduced dendritic spines in both cerebral cortices and hippocampi of hAbKI mice. Soluble amyloid-beta (1-40 and 1-42) were detected in three-month-old hAbKI mice and progressively increased in seven-month-old mice. These observations suggest that the human amyloid-beta peptide is sufficient to cause behavioral, mitochondrial, synaptic and ultrastructural changes in seven-month-old hAbKI mice. Our study findings also suggest that hAbKI mice might serve as a model for preclinical studies of preventive therapies.
- Published
- 2022
- Full Text
- View/download PDF
37. Three-dimensional AgNps@Mxene@PEDOT:PSS composite hybrid foam as a piezoresistive pressure sensor with ultra-broad working range.
- Author
-
Zhen Y, Reddy VS, Ramasubramanian B, and Ramakrishna S
- Abstract
Piezoresistive pressure sensors are becoming increasingly popular for their applications in human motion detection, wearable electronics, health monitoring, and man-machine interfaces. Sensors with superior sensitivity and a broad range of sensing are desirable for practical implementation. To achieve those, a low-cost, scalable and simple fabrication technique of dip coating Ti
3 C2 (MXene), PEDOT:PSS, and AgNPs onto a melamine foam is proposed. The prepared sensor demonstrated sensitivity of 414.27 kPa-1 at (4.17-12.98 kPa), 182.52 kPa-1 at (12.98-94.55 kPa), 317.78 kPa-1 at (94.55 kPa-1.94 MPa), 164.32 kPa-1 at (> 1.94 MPa), extraordinaire detecting range 977.6 N and outstanding repeatability. The sensor was successfully applied for the real-time detection of heartbeat pulse, limb movement, human weight and powered an LED. Furthermore, an integrated circuit design with sensors had the ability to identify spatial pressure distribution and visualize it on a pressure map., Supplementary Information: The online version contains supplementary material available at 10.1007/s10853-022-08012-y., Competing Interests: Conflict of interestThere is no conflict of interests to disclose., (© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)- Published
- 2022
- Full Text
- View/download PDF
38. Growth Mechanism of Micro/Nano Metal Dendrites and Cumulative Strategies for Countering Its Impacts in Metal Ion Batteries: A Review.
- Author
-
Ramasubramanian B, Reddy MV, Zaghib K, Armand M, and Ramakrishna S
- Abstract
Metal-ion batteries are capable of delivering high energy density with a longer lifespan. However, they are subject to several issues limiting their utilization. One critical impediment is the budding and extension of solid protuberances on the anodic surface, which hinders the cell functionalities. These protuberances expand continuously during the cyclic processes, extending through the separator sheath and leading to electrical shorting. The progression of a protrusion relies on a number of in situ and ex situ factors that can be evaluated theoretically through modeling or via laboratory experimentation. However, it is essential to identify the dynamics and mechanism of protrusion outgrowth. This review article explores recent advances in alleviating metal dendrites in battery systems, specifically alkali metals. In detail, we address the challenges associated with battery breakdown, including the underlying mechanism of dendrite generation and swelling. We discuss the feasible solutions to mitigate the dendrites, as well as their pros and cons, highlighting future research directions. It is of great importance to analyze dendrite suppression within a pragmatic framework with synergy in order to discover a unique solution to ensure the viability of present (Li) and future-generation batteries (Na and K) for commercial use.
- Published
- 2021
- Full Text
- View/download PDF
39. Defective mitophagy and synaptic degeneration in Alzheimer's disease: Focus on aging, mitochondria and synapse.
- Author
-
Morton H, Kshirsagar S, Orlov E, Bunquin LE, Sawant N, Boleng L, George M, Basu T, Ramasubramanian B, Pradeepkiran JA, Kumar S, Vijayan M, Reddy AP, and Reddy PH
- Subjects
- Aging, Amyloid beta-Peptides, Humans, Mitochondria, Mitophagy, Synapses, tau Proteins, Alzheimer Disease, Neurodegenerative Diseases
- Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by memory loss and multiple cognitive impairments. AD is marked by multiple cellular changes, including deregulation of microRNAs, activation of glia and astrocytes, hormonal imbalance, defective mitophagy, synaptic degeneration, in addition to extracellular neuritic amyloid-beta (Aβ) plaques, phosphorylated tau (P-tau), and intracellular neurofibrillary tangles (NFTs). Recent research in AD revealed that defective synaptic mitophagy leads to synaptic degeneration and cognitive dysfunction in AD neurons. Our critical analyses of mitochondria and Aβ and P-tau revealed that increased levels of Aβ and P-Tau, and abnormal interactions between Aβ and Drp1, P-Tau and Drp1 induced increased mitochondrial fragmentation and proliferation of dysfunctional mitochondria in AD neurons and depleted Parkin and PINK1 levels. These events ultimately lead to impaired clearance of dead and/or dying mitochondria in AD neurons. The purpose of our article is to highlight the recent research on mitochondria and synapses in relation to Aβ and P-tau, focusing on recent developments., (Copyright © 2021 Elsevier Inc. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
40. Protective effects of a mitochondria-targeted small peptide SS31 against hyperglycemia-induced mitochondrial abnormalities in the liver tissues of diabetic mice, Tallyho/JngJ mice.
- Author
-
Bhatti JS, Tamarai K, Kandimalla R, Manczak M, Yin X, Ramasubramanian B, Sawant N, Pradeepkiran JA, Vijayan M, Kumar S, and Reddy PH
- Subjects
- Animals, Body Weight drug effects, Diabetes Mellitus, Experimental metabolism, Hyperglycemia metabolism, Liver metabolism, Male, Mice, Mitochondria, Liver metabolism, Mitochondrial Dynamics drug effects, Diabetes Mellitus, Experimental pathology, Hyperglycemia pathology, Liver pathology, Mitochondria, Liver drug effects, Oligopeptides pharmacology
- Abstract
Type 2 Diabetes mellitus (T2DM) has become a major public health issue associated with a high risk of late-onset Alzheimer's disease (LOAD). Mitochondrial dysfunction is one of the molecular events that occur in the LOAD pathophysiology. The present study was planned to investigate the molecular alterations induced by hyperglycemia in the mitochondria of diabetic mice and further explore the possible ameliorative role of the mitochondria-targeted small peptide, SS31 in diabetic mice. For this purpose, we used a polygenic mouse model of type 2 diabetes, TALLYHO/JngJ (TH), and nondiabetic, SWR/J mice strains. The diabetic status in TH mice was confirmed at 8 weeks of age. The 24 weeks old experimental animals were segregated into three groups: Non-diabetic controls (SWR/J mice), diabetic (TH mice) and, SS31 treated diabetic TH mice. The mRNA and protein expression levels of mitochondrial proteins were investigated in all the study groups in the liver tissues using qPCR and immunoblot analysis. Also, the mitochondrial functions including H2O2 production, ATP generation, and lipid peroxidation were assessed in all the groups. Mitochondrial dysfunction was observed in TH mice as evident by significantly elevated H2O2 production, lipid peroxidation, and reduced ATP production. The mRNA expression and Western blot analysis of mitochondrial dynamics (Drp1 and Fis1 - fission; Mfn1, Mfn2, and Opa1 -fusion), and biogenesis (PGC-1α, Nrf1, Nrf2, and TFAM) genes were significantly altered in diabetic TH mice. Furthermore, SS31 treatment significantly reduced the mitochondrial abnormalities and restore mitochondrial functions in diabetic TH mice., (Copyright © 2019 Elsevier B.V. and Mitochondria Research Society. All rights reserved. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
41. Characterization of a mouse model of islet transplantation using MIN-6 cells.
- Author
-
Sobel DO, Ramasubramanian B, and Mitnaul L
- Subjects
- Animals, Blood Glucose analysis, Cell Line, Transformed, Diabetes Mellitus, Experimental therapy, Disease Models, Animal, Female, Glucose Tolerance Test, Insulin metabolism, Islets of Langerhans metabolism, Mice, Mice, Inbred BALB C, Mice, Inbred C3H, Mice, Inbred C57BL, Mice, Inbred NOD, Mice, Nude, Mice, Transgenic, Islets of Langerhans Transplantation methods
- Abstract
Immortalized beta cells are an abundant source of insulin-producing cells. Although MIN-6 cells have similar characteristics as normal islets in vitro , the in vivo use of MIN-6 cells has not been fully described. This study characterizes in vivo mouse models of MIN-6 transplantation and rejection. Subcutaneous ( sc ) transplantation of MIN-6 cells in either Matrigel or HyStem-C hydrogels reduced blood sugars in nude mice and thus are good matrices for MIN-6 cells in vivo . NOD mice are good transplant recipients since they best rejected MIN-6 cells. MLR responses from BalbC, Black Webster, Swiss Black, C3H, and NOD mice correlated with mean blood glucose response suggesting the importance of allogeneic differences in the rejection of cells. Three days of cyclosporine administration caused no inhibition of MIN-6 cell rejection and 6 days resulted in a transient decrease in blood glucose, while daily administration inhibited rejection long term. Kinetic glucose tolerance (GTT) studies in nude mice demonstrated transplanted MIN-6 cells are close but not as effective as normal islets in controlling blood glucose and blood glucose set point for insulin release in MIN-6 cells decreases to hypoglycemic levels over time. To avoid hypoglycemia, the effect of MIN-6 cell irradiation was assessed. However, irradiation only delayed the development of hypoglycemia, not altering the final glucose set point for insulin release. In conclusion, we have characterized a mouse model for beta-cell transplantation using subcutaneous MIN-6 cells that can be used as a tool to study approaches to mitigate immune rejection.
- Published
- 2020
- Full Text
- View/download PDF
42. The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.
- Author
-
Yoo TK, Choi JY, Seo JG, Ramasubramanian B, Selvaperumal S, and Kim DW
- Subjects
- Algorithms, Area Under Curve, Databases, Factual, Diagnosis, Computer-Assisted methods, Fundus Oculi, Humans, Neural Networks, Computer, Photography, Reproducibility of Results, Deep Learning, Image Processing, Computer-Assisted methods, Macular Degeneration diagnostic imaging, Tomography, Optical Coherence methods
- Abstract
Recently, researchers have built new deep learning (DL) models using a single image modality to diagnose age-related macular degeneration (AMD). Retinal fundus and optical coherence tomography (OCT) images in clinical settings are the most important modalities investigating AMD. Whether concomitant use of fundus and OCT data in DL technique is beneficial has not been so clearly identified. This experimental analysis used OCT and fundus image data of postmortems from the Project Macula. The DL based on OCT, fundus, and combination of OCT and fundus were invented to diagnose AMD. These models consisted of pre-trained VGG-19 and transfer learning using random forest. Following the data augmentation and training process, the DL using OCT alone showed diagnostic efficiency with area under the curve (AUC) of 0.906 (95% confidence interval, 0.891-0.921) and 82.6% (81.0-84.3%) accuracy rate. The DL using fundus alone exhibited AUC of 0.914 (0.900-0.928) and 83.5% (81.8-85.0%) accuracy rate. Combined usage of the fundus with OCT increased the diagnostic power with AUC of 0.969 (0.956-0.979) and 90.5% (89.2-91.8%) accuracy rate. The Delong test showed that the DL using both OCT and fundus data outperformed the DL using OCT alone (P value < 0.001) and fundus image alone (P value < 0.001). This multimodal random forest model showed even better performance than a restricted Boltzmann machine (P value = 0.002) and deep belief network algorithms (P value = 0.042). According to Duncan's multiple range test, the multimodal methods significantly improved the performance obtained by the single-modal methods. In this preliminary study, a multimodal DL algorithm based on the combination of OCT and fundus image raised the diagnostic accuracy compared to this data alone. Future diagnostic DL needs to adopt the multimodal process to combine various types of imaging for a more precise AMD diagnosis. Graphical abstract The basic architectural structure of the tested multimodal deep learning model based on pre-trained deep convolutional neural network and random forest using the combination of OCT and fundus image.
- Published
- 2019
- Full Text
- View/download PDF
43. Are TallyHo Mice A True Mouse Model for Type 2 Diabetes and Alzheimer's Disease?
- Author
-
Ramasubramanian B and Reddy PH
- Subjects
- Alzheimer Disease blood, Animals, Diabetes Mellitus, Type 2 blood, Humans, Mice, Mice, Obese, Mice, Transgenic, Alzheimer Disease genetics, Alzheimer Disease pathology, Diabetes Mellitus, Type 2 genetics, Diabetes Mellitus, Type 2 pathology, Disease Models, Animal
- Abstract
The purpose of our article is to critically assess if TallyHo mice are a true mouse model for type 2 diabetes and Alzheimer's disease. Diabetes is a lifestyle condition that is characterized by elevated blood glucose due to either insufficient amount of insulin or the body's inability to use the produced insulin efficiently. Diabetes occurs in multiple forms, including type 1, type 2, type 3, neonatal, and gestational. Type 2 diabetes covers 95% of overall diabetes, found in individuals 65 years of age and above. Both modifiable and non-modifiable factors are involved in developing diabetes. In patients with diabetes, increased blood glucose levels are reported to induce multiple complications, such as heart disease, stroke, kidney failure, foot ulcers, and damage to the eyes. However, the molecular basis of diabetes is not completely understood. Further, there are no accurate animal model(s) that mimic both type 1 and type 2 diabetes of humans. Multiple polygenic models are being used, including the Goto-Kakizaki rat, the Otzhka Long-Evans Tokushima Fatty rat, the Nagoya Shibata Yasuda mouse, the New Zealand obese mouse, the Tsumura-Suzuki obese diabetes mouse, leptin deficient ob/ob and the leptin receptor deficient db/db mouse models. In 2001, Kim and colleagues described the TallyHo mice that represent many features of type 2 diabetes of humans. Since then, several groups studied TallyHo mice. Only the male mice develop hyperglycemia and the females exhibit features of obesity. Thus, this model can be used to study both diabetes and obesity. The purpose of this article is to discuss recent developments in TallyHo mice research including diabetes onset and progression.
- Published
- 2019
- Full Text
- View/download PDF
44. Current Status of Healthy Aging and Dementia Research: A Symposium Summary.
- Author
-
Reddy PH, Swerdlow RH, Culberson J, Kang D, Mitchell TL, Smith Q, Suneja S, Ory MG, Kumar S, Vijayan M, Morsy A, Arandia G, Lawrence JJ, George E, Oliver D, Pradeepkiran JA, Yin X, Reddy AP, Manczak M, Cengiz P, Karamyan VT, Kandimalla R, Kuruva CS, Willms J, Ramasubramanian B, Sawant N, Burugu D, Boles AN, Lopez V, Carrasco R, Aguirre C, Thompson S, Blackmon J, Ament C, Wang R, Stephens ER, Hoang B, Bass K, Trippier PC, Hornback C, Kottapalli P, Kottapalli KR, and Oddo S
- Subjects
- Biomedical Research methods, Humans, Texas epidemiology, Biomedical Research trends, Congresses as Topic trends, Dementia epidemiology, Dementia psychology, Healthy Aging physiology, Healthy Aging psychology
- Abstract
The purpose of the 'First Regional Healthy Aging and Dementia Research Symposium' was to discuss the latest research in healthy aging and dementia research, public health trends related to neurodegenerative diseases of aging, and community-based programs and research studying health, nutrition, and cognition. This symposium was organized by the Garrison Institute on Aging (GIA) of the Texas Tech University Health Sciences Center (TTUHSC), and was held in Lubbock, Texas, October 24-25, 2018. The Symposium joined experts from educational and research institutions across the United States. The two-day Symposium included all GIA staff and researchers. Students, postdoctoral fellows, and faculty members involved in dementia research presented at the Symposium. Healthcare professionals, from geriatricians to social workers working with patients with neurodegenerative diseases, also presented. In addition, experts traveled from across the United States to participate. This event was comprised of multiple sessions, each with several oral presentations, followed by questions and answers, and discussion.
- Published
- 2019
- Full Text
- View/download PDF
45. Circulating microRNAs in cancer: Hope or hype?
- Author
-
Singh R, Ramasubramanian B, Kanji S, Chakraborty AR, Haque SJ, and Chakravarti A
- Subjects
- Animals, Biomarkers, Tumor genetics, Genetic Therapy methods, Humans, MicroRNAs genetics, MicroRNAs therapeutic use, Molecular Diagnostic Techniques, Neoplasms genetics, Neoplasms pathology, Neoplasms therapy, Predictive Value of Tests, Prognosis, RNA, Neoplasm genetics, Biomarkers, Tumor blood, MicroRNAs blood, Neoplasms blood, RNA, Neoplasm blood
- Abstract
Circulating miRNAs are a novel class of stable, minimally invasive disease biomarkers that are considered to be valuable in diagnosis, prognosis and treatment response monitoring. Unlike intracellular miRNAs, circulating miRNAs are released from their producer cells and, based on their targeted functions, they may shuttle in and out of circulation. Their discovery has opened up new avenues for clinical realms and led to a quest for targeted biomarkers. Subsequently, as more cell-free miRNAs are being discovered, their expression is expected to provide precise information regarding disease progression and treatment outcomes, thereby fostering personalized therapeutic strategies. The significance of circulating miRNAs capitalizes on the fact that they are highly stable in body fluids and their expression levels can be detected by common techniques such as qPCR and microarray. However, discrepancies have started to emerge in terms of their reliability and their response under physiological and pathological conditions. Functional studies are still pending, which may determine whether circulating miRNAs play a role as a central component or just as an auxiliary tuner. Also, the distinct clinical signatures that they display have never been subjected to an extensive critical review and experimental validation. As a consequence, the applicability of circulating miRNAs remains a matter of deliberation, despite many intriguing perspectives about their competency. In this review, we highlight some ambiguous issues with the application of circulating miRNAs, which may warrant an immediate consideration. We propose that the circulating miRNA domain needs to be reevaluated to authenticate their specific role and to probe whether they actually carry any clinical weightage., (Copyright © 2016. Published by Elsevier Ireland Ltd.)
- Published
- 2016
- Full Text
- View/download PDF
46. Methionine and Kynurenine Activate Oncogenic Kinases in Glioblastoma, and Methionine Deprivation Compromises Proliferation.
- Author
-
Palanichamy K, Thirumoorthy K, Kanji S, Gordon N, Singh R, Jacob JR, Sebastian N, Litzenberg KT, Patel D, Bassett E, Ramasubramanian B, Lautenschlaeger T, Fischer SM, Ray-Chaudhury A, and Chakravarti A
- Subjects
- Astrocytes metabolism, Astrocytes pathology, Biomarkers, Tumor metabolism, Carcinogenesis metabolism, Carcinogenesis pathology, Cell Line, Chromatography, High Pressure Liquid methods, Humans, Mass Spectrometry methods, Metabolomics methods, Purine-Nucleoside Phosphorylase metabolism, Tryptophan metabolism, Tumor Cells, Cultured, Cell Proliferation physiology, Glioblastoma metabolism, Glioblastoma pathology, Kynurenine metabolism, Methionine metabolism, Oncogenes genetics
- Abstract
Purpose: We employed a metabolomics-based approach with the goal to better understand the molecular signatures of glioblastoma cells and tissues, with an aim toward identifying potential targetable biomarkers for developing more effective and novel therapies., Experimental Design: We used liquid chromatography coupled with mass spectrometry (LC-MS/Q-TOF and LC-MS/QQQ) for the discovery and validation of metabolites from primary and established glioblastoma cells, glioblastoma tissues, and normal human astrocytes., Results: We identified tryptophan, methionine, kynurenine, and 5-methylthioadenosine as differentially regulated metabolites (DRM) in glioblastoma cells compared with normal human astrocytes (NHAs). Unlike NHAs, glioblastoma cells depend on dietary methionine for proliferation, colony formation, survival, and to maintain a deregulated methylome (SAM:SAH ratio). In methylthioadenosine phosphorylase (MTAP)-deficient glioblastoma cells, expression of MTAP transgene did not alter methionine dependency, but compromised tumor growth in vivo We discovered that a lack of the kynurenine-metabolizing enzymes kynurenine monooxygenase and/or kynureninase promotes the accumulation of kynurenine, which triggers immune evasion in glioblastoma cells. In silico analysis of the identified DRMs mapped the activation of key oncogenic kinases that promotes tumorigenesis in glioblastoma. We validated this result by demonstrating that the exogenous addition of DRMs to glioblastoma cells in vitro results in oncogene activation as well as the simultaneous downregulation of Ser/Thr phosphatase PP2A., Conclusions: We have connected a four-metabolite signature, implicated in the methionine and kynurenine pathways, to the promotion and maintenance of glioblastoma. Together, our data suggest that these metabolites and their respective metabolic pathways serve as potential therapeutic targets for glioblastoma. Clin Cancer Res; 22(14); 3513-23. ©2016 AACR., (©2016 American Association for Cancer Research.)
- Published
- 2016
- Full Text
- View/download PDF
47. Characterization of the Vibrio cholerae vceCAB multiple-drug resistance efflux operon in Escherichia coli.
- Author
-
Woolley RC, Vediyappan G, Anderson M, Lackey M, Ramasubramanian B, Jiangping B, Borisova T, Colmer JA, Hamood AN, McVay CS, and Fralick JA
- Subjects
- ATP Binding Cassette Transporter, Subfamily B, Member 1 biosynthesis, Bacterial Outer Membrane Proteins biosynthesis, Bacterial Proteins genetics, Binding Sites, Drug Resistance, Multiple, Bacterial genetics, Escherichia coli genetics, Escherichia coli metabolism, Ion Pumps genetics, Membrane Proteins genetics, Mutagenesis, Insertional, Open Reading Frames, Reverse Transcriptase Polymerase Chain Reaction, ATP Binding Cassette Transporter, Subfamily B, Member 1 genetics, Bacterial Outer Membrane Proteins genetics, Genes, Regulator, Operon, Vibrio cholerae genetics
- Abstract
Herein, we identify vceC as a component of a vceCAB operon, which codes for the Vibrio cholerae VceAB multiple-drug resistance (MDR) efflux pump, and vceR, which codes for a transcriptional autoregulatory protein that negatively regulates the expression of the vceCAB operon and is modulated by some of the substrates of this MDR efflux pump.
- Published
- 2005
- Full Text
- View/download PDF
48. Water deficit induced oxidative damage in tea (Camellia sinensis) plants.
- Author
-
Jeyaramrajaa PR, Meenakshi SN, Kumar RS, Joshi SD, and Ramasubramanian B
- Subjects
- Catalysis, Iron metabolism, Oxidative Stress, Pigments, Biological metabolism, Plant Leaves metabolism, Antioxidants metabolism, Camellia sinensis metabolism, Water metabolism
- Abstract
When the tea (Camellia sinensis) leaf water potential was -1.1 MPa (Moderate water deficit), there was 58% inhibition of photosynthesis accompanied by increased zeaxanthin, malondialdehyde, oxidized proteins and superoxide dismutase activity. When the leaf water potential was -2MPa (severe water deficit), there was nearly complete inhibition of photosynthesis apart from a decrease in chlorophylls, beta-carotene, neoxanthin and lutein. Water deficit at this level caused further conversion of violaxanthin to zeaxanthin, suggesting damage to the photosynthetic apparatus. There were consistent decreases in antioxidants and pyridine nucleotides, and accumulation of catalytic Fe, malondialdehyde and oxidized proteins. It is inferred that, in tea plants, the increase in catalytic Fe and the decrease in antioxidant protection may be involved in the oxidative damage caused by severe water deficit, but not necessarily in the incipient stress induced by moderate water deficit.
- Published
- 2005
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.