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  1. Article ; Online: Anti-Diabetic Potentials of Lactobacillus Strains by Modulating Gut Microbiota Structure and β-Cells Regeneration in the Pancreatic Islets of Alloxan-Induced Diabetic Rats.

    Kumar, Manoj / Muthurayar, Tharmar / Karthika, Sukumaran / Gayathri, Santhalingam / Varalakshmi, Perumal / Ashokkumar, Balasubramaniem

    Probiotics and antimicrobial proteins

    2024  

    Abstract: Diabetes mellitus, a most common endocrine disorder of glucose metabolism, has become a global epidemic and poses a serious public health threat with an increased socio-economic burden. Escalating incidence of diabetes is correlated with changes in ... ...

    Abstract Diabetes mellitus, a most common endocrine disorder of glucose metabolism, has become a global epidemic and poses a serious public health threat with an increased socio-economic burden. Escalating incidence of diabetes is correlated with changes in lifestyle and food habits that cause gut microbiome dysbiosis and β-cells damage, which can be addressed with dietary interventions containing probiotics. Hence, the search for probiotics of human origin with anti-diabetic, anti-AGE, and anti-ACE potentials has gained renewed interest for the effective management of diabetes and its associated complications. The present study used an alloxan (AXN)-induced diabetic rat model to investigate the effects of potential probiotic Lacticaseibacillus casei MKU1, Lactiplantibacillus pentosus MKU3, and Lactiplantibacillus plantarum MKU7 administration individually on physiochemical parameters related to diabetic pathogenesis. Experimental animals were randomly allotted into six groups viz. NCG (control), DCG (AXN), DGM (metformin), DGP1 (MKU1), DGP2 (MKU3), and DGP3 (MKU7), and biochemical data like serum glucose, insulin, AngII, ACE, HbA1c, and TNF-α levels were measured until 90 days. Our results suggest that oral administration with MKU1, MKU3, or MKU7 significantly improved serum insulin levels, glycemic control, glucose tolerance, and body weight. Additionally, β-cell mass was increased by preserving islet integrity in Lactobacillus-treated diabetic rats, whereas TNF-α (~40%), AngII (~30%), and ACE levels (~50%) were strongly inhibited and enhanced sIgA production (5.8 folds) abundantly. Furthermore, Lactobacillus administration positively influenced the gut microbiome with a significant increase in the abundance of Lactobacillus species and the beneficial Bacteroides uniformis and Bacteroides fragilis, while decreased the pathogenic Proteus vulgaris and Parabacteroides distasonis. Among the probiotic treatment groups, L. pentosus MKU3 performed greatly in almost all parameters, indicating its potential use for alleviating diabetes-associated complications.
    Language English
    Publishing date 2024-02-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2487792-X
    ISSN 1867-1314 ; 1867-1306
    ISSN (online) 1867-1314
    ISSN 1867-1306
    DOI 10.1007/s12602-024-10221-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: CD44 tagged hyaluronic acid - chitosan liposome carrier for the delivery of berberine and doxorubicin into lung cancer cells.

    Uma Maheswari, Ramakrishna Thilagar / Ajithkumar, Velmurugan / Varalakshmi, Perumal / Rajan, Mariappan

    International journal of biological macromolecules

    2023  Volume 253, Issue Pt 2, Page(s) 126599

    Abstract: Liposomes are unique biomolecular, capable of loading both hydrophilic and hydrophobic molecules and delivered into the biological system. Liposomes (L) coated with hyaluronic acid (HA) and chitosan (CS) carrier system was fabricated. Berberine (BER) and ...

    Abstract Liposomes are unique biomolecular, capable of loading both hydrophilic and hydrophobic molecules and delivered into the biological system. Liposomes (L) coated with hyaluronic acid (HA) and chitosan (CS) carrier system was fabricated. Berberine (BER) and doxorubicin (DOX) were encapsulated to enhance drug proliferation and therapeutic effect in lung cancer cells. The FTIR, XRD, SEM, and TEM techniques were carried out for functional group identification, crystallinity, and surface morphology analysis, respectively. In-vitro drug release confirms the sustained release of BER and DOX in various physiological environments. HA-CS@BER&DOX-L has good penetration ability and higher cytotoxicity effect in the A549 cells, and the IC
    MeSH term(s) Animals ; Humans ; Liposomes/chemistry ; Lung Neoplasms/drug therapy ; Hyaluronic Acid/chemistry ; Berberine/pharmacology ; Chitosan ; Caenorhabditis elegans ; Doxorubicin/pharmacology ; Drug Delivery Systems ; Nanoparticles/chemistry ; Hyaluronan Receptors
    Chemical Substances Liposomes ; Hyaluronic Acid (9004-61-9) ; Berberine (0I8Y3P32UF) ; Chitosan (9012-76-4) ; Doxorubicin (80168379AG) ; CD44 protein, human ; Hyaluronan Receptors
    Language English
    Publishing date 2023-08-29
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2023.126599
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Corrigendum to "A cheap two-step cultivation of Phaeodactylum tricornutum for increased TAG production and differential expression of TAG biosynthesis associated genes" [J. Biotechnol. 354 (2022) 53-62].

    Karpagam, Rathinasamy / Jawaharraj, Kalimuthu / Ashokkumar, Balasubramaniem / Pugazhendi, Arivalagan / Varalakshmi, Perumal

    Journal of biotechnology

    2022  Volume 356, Page(s) 65–66

    Language English
    Publishing date 2022-07-19
    Publishing country Netherlands
    Document type Published Erratum
    ZDB-ID 843647-2
    ISSN 1873-4863 ; 0168-1656 ; 1389-0352
    ISSN (online) 1873-4863
    ISSN 0168-1656 ; 1389-0352
    DOI 10.1016/j.jbiotec.2022.06.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Catechol 1,2-Dioxygenase From

    Aravind, Manikka Kubendran / Varalakshmi, Perumal / John, Swamidoss Abraham / Ashokkumar, Balasubramaniem

    Frontiers in bioengineering and biotechnology

    2021  Volume 9, Page(s) 703399

    Abstract: Cis, ...

    Abstract Cis,
    Language English
    Publishing date 2021-11-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2021.703399
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A cheap two-step cultivation of Phaeodactylum tricornutum for increased TAG production and differential expression of TAG biosynthesis associated genes.

    Karpagam, Rathinasamy / Jawaharraj, Kalimuthu / Ashokkumar, Balasubramaniem / Pugazhendhi, Arivalagan / Varalakshmi, Perumal

    Journal of biotechnology

    2022  Volume 354, Page(s) 53–62

    Abstract: A cheap cultivation of microalgae greatly reduces the biodiesel production cost. Subsequently in this study, citric acid and effluents from sugar and tannery industries were used as the nutritional supplements for the improvement of biomass and TAG ... ...

    Abstract A cheap cultivation of microalgae greatly reduces the biodiesel production cost. Subsequently in this study, citric acid and effluents from sugar and tannery industries were used as the nutritional supplements for the improvement of biomass and TAG production in Phaeodactylum tricornutum using two-step cultivation. When compared to control (media without supplementation), a considerable increase in biomass and chlorophyll a was obtained with citric acid (CA) and sugar industry effluent (SIE) supplemented media. In the two-step cultivation method, biomass raised from CA (100 mg·L
    MeSH term(s) Biofuels ; Biomass ; Chlorophyll A/metabolism ; Citric Acid/metabolism ; Diatoms/genetics ; Diatoms/metabolism ; Lipids ; Microalgae/genetics ; Microalgae/metabolism ; Sugars/metabolism
    Chemical Substances Biofuels ; Lipids ; Sugars ; Citric Acid (2968PHW8QP) ; Chlorophyll A (YF5Q9EJC8Y)
    Language English
    Publishing date 2022-06-14
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 843647-2
    ISSN 1873-4863 ; 0168-1656 ; 1389-0352
    ISSN (online) 1873-4863
    ISSN 0168-1656 ; 1389-0352
    DOI 10.1016/j.jbiotec.2022.06.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques

    Varalakshmi Perumal / Vasumathi Narayanan / Sakthi Jaya Sundar Rajasekar

    Disease Markers, Vol

    2021  Volume 2021

    Abstract: Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-PCR ... ...

    Abstract Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-PCR technique. In this paper, hybrid learning models are used to classify COVID-19 CT images, Community-Acquired Pneumonia (CAP) CT images, and normal CT images with high specificity and sensitivity. The proposed system in this paper has been compared with various machine learning classifiers and other deep learning classifiers for better data analysis. The outcome of this study is also compared with other studies which were carried out recently on COVID-19 classification for further analysis. The proposed model has been found to outperform with an accuracy of 96.69%, sensitivity of 96%, and specificity of 98%.
    Keywords Medicine (General) ; R5-920
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

    Perumal, Varalakshmi / Narayanan, Vasumathi / Rajasekar, Sakthi Jaya Sundar

    Disease markers

    2021  Volume 2021, Page(s) 5522729

    Abstract: Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-PCR ... ...

    Abstract Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-PCR technique. In this paper, hybrid learning models are used to classify COVID-19 CT images, Community-Acquired Pneumonia (CAP) CT images, and normal CT images with high specificity and sensitivity. The proposed system in this paper has been compared with various machine learning classifiers and other deep learning classifiers for better data analysis. The outcome of this study is also compared with other studies which were carried out recently on COVID-19 classification for further analysis. The proposed model has been found to outperform with an accuracy of 96.69%, sensitivity of 96%, and specificity of 98%.
    MeSH term(s) Bayes Theorem ; COVID-19/diagnostic imaging ; Case-Control Studies ; Community-Acquired Infections/diagnostic imaging ; Decision Trees ; Humans ; Lung/diagnostic imaging ; Machine Learning ; Models, Statistical ; Pneumonia/diagnostic imaging ; Sensitivity and Specificity ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2021-04-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604951-5
    ISSN 1875-8630 ; 0278-0240
    ISSN (online) 1875-8630
    ISSN 0278-0240
    DOI 10.1155/2021/5522729
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Deciphering Bisphenol A degradation by Coelastrella sp. M60: unravelling metabolic insights through metabolomics analysis.

    Ajithkumar, Velmurugan / Arunkumar, Malaisamy / Philomina, Appaiyan / Sakthi Vignesh, Nagamalai / Vimali, Elamathi / Dey, Drishanu / Ganesh Moorthy, Innasi Muthu / Ashokkumar, Balasubramaniem / Varalakshmi, Perumal

    Bioresource technology

    2024  Volume 401, Page(s) 130701

    Abstract: Microalgae, owing to their efficacy and eco-friendliness, have emerged as a promising solution for mitigating the toxicity of Bisphenol A (BPA), a hazardous environmental pollutant. This current study was focused on the degradation of BPA by Coelastrella ...

    Abstract Microalgae, owing to their efficacy and eco-friendliness, have emerged as a promising solution for mitigating the toxicity of Bisphenol A (BPA), a hazardous environmental pollutant. This current study was focused on the degradation of BPA by Coelastrella sp. M60 at various concentrations (10-50 mg/L). Further, the metabolic profiling of Coelastrella sp. M60 was performed using GC-MS analysis, and the results were revealed that BPA exposure modulated the metabolites profile with the presence of intermediates of BPA. In addition, highest lipid (43%) and pigment content (40%) at 20 and 10 mg/L of BPA respectively exposed to Coelastrella sp. M60 was achieved and enhanced fatty acid methyl esters recovery was facilitated by Cuprous oxide nanoparticles synthesised using Spatoglossum asperum. Thus, this study persuades thepotential of Coelastrella sp. M60 for BPA degradation and suggesting new avenues to remove the emerging contaminants in polluted water bodies and targeted metabolite expression in microalgae.
    MeSH term(s) Benzhydryl Compounds/metabolism ; Phenols/metabolism ; Metabolomics ; Biodegradation, Environmental ; Microalgae/metabolism ; Microalgae/drug effects ; Gas Chromatography-Mass Spectrometry ; Metabolome ; Water Pollutants, Chemical/metabolism
    Chemical Substances bisphenol A (MLT3645I99) ; Benzhydryl Compounds ; Phenols ; Water Pollutants, Chemical
    Language English
    Publishing date 2024-04-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1065195-0
    ISSN 1873-2976 ; 0960-8524
    ISSN (online) 1873-2976
    ISSN 0960-8524
    DOI 10.1016/j.biortech.2024.130701
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Bioengineered Graphene Oxide Microcomposites Containing Metabolically Versatile

    Aravind, Manikka Kubendran / Kappen, Jincymol / Varalakshmi, Perumal / John, Swamidoss Abraham / Ashokkumar, Balasubramaniem

    ACS omega

    2020  Volume 5, Issue 27, Page(s) 16752–16761

    Abstract: Paracoccus ... ...

    Abstract Paracoccus sp
    Language English
    Publishing date 2020-07-01
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.0c01693
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Detection of COVID-19 from Chest CT Images Using CNN with MLP Hybrid Model.

    Rajasekar, Sakthi Jaya Sundar / Narayanan, Vasumathi / Perumal, Varalakshmi

    Studies in health technology and informatics

    2021  Volume 285, Page(s) 288–291

    Abstract: COVID-19 when left undetected can lead to a hazardous infection spread, leading to an unfortunate loss of life. It's of utmost importance to diagnose COVID-19 in Infected patients at the earliest, to avoid further complications. RT-PCR, the gold standard ...

    Abstract COVID-19 when left undetected can lead to a hazardous infection spread, leading to an unfortunate loss of life. It's of utmost importance to diagnose COVID-19 in Infected patients at the earliest, to avoid further complications. RT-PCR, the gold standard method is routinely used for the diagnosis of COVID-19 infection. Yet, this method comes along with few limitations such as its time-consuming nature, a scarcity of trained manpower, sophisticated laboratory equipment and the possibility of false positive and negative results. Physicians and global health care centers use CT scan as an alternate for the diagnosis of COVID-19. But this process of detection too, might demand more manual work, effort and time. Thus, automating the detection of COVID-19 using an intelligent system has been a recent research topic, in the view of pandemic. This will also help in saving the physician's time for carrying out further treatment. In this paper, a hybrid learning model has been proposed to identify the COVID-19 infection using CT scan images. The Convolutional Neural Network (CNN) was used for feature extraction and Multilayer Perceptron was used for classification. This hybrid learning model's results were also compared with traditional CNN and MLP models in terms of Accuracy, F1-Score, Precision and Recall. This Hybrid CNN-MLP model showed an Accuracy of 94.89% when compared with CNN and MLP giving 86.95% and 80.77% respectively.
    MeSH term(s) COVID-19 ; Humans ; Neural Networks, Computer ; Pandemics ; SARS-CoV-2 ; Tomography, X-Ray Computed
    Language English
    Publishing date 2021-11-04
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI210617
    Database MEDical Literature Analysis and Retrieval System OnLINE

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