Stalin Antony
@uestc.edu.cn
Assistant Professor
University of Electronic Science and technology of China
EDUCATION
PhD - Bioinformatics
RESEARCH, TEACHING, or OTHER INTERESTS
Pharmacology, Drug Discovery, Multidisciplinary, Pharmacology, Toxicology and Pharmaceutics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Manikandan Dhayalan, Wei Wang, S. U. Mohammed Riyaz, Rakshi Anuja Dinesh, Jayashree Shanmugam, Santiagu Stephen Irudayaraj, Antony Stalin, Jayant Giri, Saurav Mallik, and Ruifeng Hu
Springer Science and Business Media LLC
Manikandan Dhayalan, Sheikdawood Parveen, Sathiyapriya Thirumalaisamy, Faruq Mohammad, Hamad A. Al-Lohedan, Savaas Umar Mohammed Riyaz, Rakshi Anuja Dinesh, Jayant Giri, Antony Stalin, Gangireddy Rajasekhar Reddy,et al.
BioResources
Herbal plants have been used, in light of their responsiveness and wide availability, for the construction of a pioneering nanomaterial. In this study, a colloidal suspension of gold nanoparticles (GNPs) was synthesized from an extract of Madhuca longifolia (ML) using chloroauric acid. For biomedical applications, Madhuca longifolia (ML) was used as a bioreductant as well as a capping agent The formed ML-GNPs were analyzed using different analytical techniques, antioxidant assays, and thiazolyl blue formazan assay against A549 cell lines to evaluate clinical relevance. They were further evaluated for their influence on antimicrobial activity using a disc diffusion test against two different microorganisms, Proteus vulgaris and Micrococcus luteus. The ML-GNPs produced had good antioxidant, antibacterial, and anticancer activities. The conformation of the XRD spectra with prominent characteristic planes was indexed to the face-centered cubic (fcc)-structured GNPs. Surface morphology analysis was used to determine the particle size of the GNPs. Fourier transform infrared spectra of the samples were used to determine the analogs for strong H bonding. The MIC values of biogenic GNPs against both strains of Proteus vulgaris and Micrococcus luteus was calculated as 0.29 and 0.96 g/mL, respectively, and triclosan was considered as 0.4 and 2 g/mL, respectively. The findings of this study will be beneficial for future studies of the therapeutic potential of ML-GNPs. Actively, ML-GNPs can be a capable material for formulating nanomedicines after subsequent clinical experiments.
Antony Stalin, Pachaiyappan Saravana Kumar, Balakrishnan Senthamarai Kannan, Rajamanikam Saravanan, Savarimuthu Ignacimuthu, and Quan Zou
Elsevier BV
Shan Lu, Jiaqi Huang, Jingyuan Zhang, Chao Wu, Zhihong Huang, Xiaoyu Tao, Leiming You, Antony Stalin, Meilin Chen, Jiaqi Li,et al.
Elsevier BV
Yingying Tan, Zhihong Huang, Yingying Liu, Xiaojiaoyang Li, Antony Stalin, Xiaotian Fan, Zhishan Wu, Chao Wu, Shan Lu, Fanqin Zhang,et al.
Elsevier BV
Appadurai Daniel Reegan, Antony Stalin, Munusamy Rajiv Gandhi, Santiagu Stephen Irudayaraj, Rajakrishnan Rajagopal, and Ahmed Alfarhan
Informa UK Limited
Nishanthi Ramasami, Manikandan Dhayalan, Malathi Selvaraj, Savaas Umar Mohammed Riyaz, Palani Perumal, Santiagu Stephen Irudayaraj, Rajakrishnan Rajagopal, Ahmed Alfarhan, and Antony Stalin
Springer Science and Business Media LLC
Jeyaraj Selvakumaran, Kamaraj Ragavendran, Mariappan Muthukanagavel, Savarimuthu Ignacimuthu, Nayagam Vasanth, Rajapandiyan Krishnamoorthy, Mohammad Z. Ahmed, Ali S. Alqahtani, Antony Stalin, Pathalam Ganesan,et al.
Springer Science and Business Media LLC
Poomany Arul Soundara Rajan Yolin Angel, Palanisamy Jeyakumar, Arul Raj Jasmin Suriya, Aliyas Sheena, Ponmurugan Karuppiah, Govindasami Periyasami, Antony Stalin, and Kasi Murugan
Frontiers Media SA
IntroductionFungal keratitis (FK) poses a severe threat to vision, potentially leading to blindness if not promptly addressed. Clitoria ternatea flower extracts have a history of use in Ayurvedic and Indian traditional medicines, particularly for treating eye ailments. This study investigates the antifungal and antibiofilm effects of Clitoria ternatea flower extracts on the FK clinical isolate Coniochaeta hoffmannii. Structural details and key compound identification were analysed through FTIR and GC-MS.MethodsThe minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) of Clitoria ternatea flower extracts were determined using broth dilution and well plate techniques. Biofilm inhibitory activity was assessed through microscopic evaluation, while anti-irritant and cytotoxic properties were evaluated using CAE-EI and MTT assays. Through GC-MS and FT-IR analysis the compounds dissolved in the extract and their functional group were studied, and their toxicity screening and pharmacokinetic prediction were conducted in silico. Subsequently, compounds with high corneal permeability were further identified, and molecular docking and simulation studies at 150 ns were used to investigate their interactions with fungal virulence factors and human inflammatory proteins.Results and DiscussionAt a concentration of 250 µg/mL, the Clitoria ternatea flower extract displayed effective biofilm inhibition. MIC and MFC values were determined as 500 and 1000 µg/mL, respectively. CAE-EI and MTT assays indicated no significant irritant and cytotoxic effects up to a concentration of 3 mg/mL. Compounds like 9,9-dimethoxybicyclo[3.3.1]nonane-2,4-dione showed high corneal permeability with strong and stable interactions with fungal virulence cellobiose dehydrogenase, endo β 1,4 xylanase, and glucanase, as well as corneal inflammation-associated human TNF-α and Interleukin IL-1b protein targets. The findings indicate that extracts from C. ternatea flowers could be formulated for an effective and safe alternative for developing new topical FK therapeutics.
Yixuan Wang, Haojia Wang, Keyan Chai, Siyu Guo, Yiyan Zhai, Rui Shi, Fanqin Zhang, Jiaqi Huang, Zhengsen Jin, Yifei Gao,et al.
Elsevier BV
Yingying Tan, Fanqin Zhang, Xiaotian Fan, Shan Lu, Yingying Liu, Zhishan Wu, Zhihong Huang, Chao Wu, Guoliang Cheng, Bing Li,et al.
Springer Science and Business Media LLC
Yingying Tan, Fanqin Zhang, Xiaotian Fan, Shan Lu, Yingying Liu, Zhishan Wu, Zhihong Huang, Chao Wu, Guoliang Cheng, Bing Li,et al.
Springer Science and Business Media LLC
Abstract Background Yinzhihuang granules (YZHG) is a commonly used Chinese patent medicine for the treatment of liver disease. However, the mechanism of YZHG in alcoholic liver disease (ALD) is still unclear. Methods This study combined liquid chromatography-mass spectrometry technology, pharmacodynamics, network pharmacology and molecular docking methods to evaluate the potential mechanism of YZHG in the treatment of ALD. Results A total of 25 compounds including 4-hydroxyacetophenone, scoparone, geniposide, quercetin, baicalin, baicalein, chlorogenic acid and caffeic acid in YZHG were identified by ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). The pharmacodynamic investigations indicated that YZHG could improve liver function and the degree of liver tissue lesions, and reduce liver inflammation and oxidative stress in ALD mice. Network pharmacology analysis showed that YZHG treated ALD mainly by regulating inflammation-related signaling pathways such as the PI3K-Akt signaling pathway. The results of the PPI network and molecular docking showed that the targets of SRC, HSP90AA1, STAT3, EGFR and AKT1 could be the key targets of YZHG in the treatment of ALD. Conclusion This study explored the potential compounds, potential targets and signaling pathways of YZHG in the treatment of ALD, which is helpful to clarify the efficacy and mechanism of YZHG and provide new insights for the clinical application of YZHG.
Yiyan Zhai, Xinkui Liu, Zhihong Huang, Jingyuan Zhang, Antony Stalin, Yingying Tan, Fanqin Zhang, Meilin Chen, Rui Shi, Jiaqi Huang,et al.
Springer Science and Business Media LLC
AbstractStomach adenocarcinoma (STAD) is a type of cancer which often at itsadvanced stage apon diagnosis and mortality in clinical practice. Several factors influencethe prognosis of STAD, including the expression and regulation of immune cells in the tumor microenvironment. We here investigated the biomarkers related to the diagnosis and prognosis of gastric cancer, hoping to provide insights for the diagnosis and treatment of gastric cancer in the future. STAD and normal patient RNA sequencing data sets were accessed from the cancer genome atlas (TCGA database). Differential genes were determined and obtained by using the R package DESeq2. The stromal, immune, and ESTIMATE scores are calculated by the ESTIMATE algorithm, followed by the modular genes screening using the R package WGCNA. Subsequently, the intersection between the modular gene and the differential gene was taken and the STRING database was used for PPI network module analysis. The R packages clusterProfiler, enrichplot, and ggplot2 were used for GO and KEGG enrichment analysis. Cox regression analysis was used to screen survival-related genes, and finally, the R package Venn Diagram was used to take the intersection and obtain 7 hub genes. The time-dependent ROC curve and Kaplan–Meier survival curve were used to find the SERPINE1 gene, which plays a critical role in prognosis. Finally, the expression pattern, clinical characteristics, and regulatory mechanism of SERPINE1 were analyzed in STAD. We revealed that the expression of SERPINE1 was significantly increased in the samples from STAD compared with normal samples. Cox regression, time-dependent ROC, and Kaplan–Meier survival analyses demonstrated that SERPINE1 was significantly related to the adverse prognosis of STAD patients. The expression of SERPINE1 increased with the progression of T, N, and M classification of the tumor. In addition, the results of immune infiltration analysis indicated that the immune cells’ expression were higher in high SERPINE1 expression group than that in low SERPINE1 expression group, including CD4+ T cells, B cells, CD8+ T cells, macrophages, neutrophils and other immune cells. SERPINE1 was closely related to immune cells in the STAD immune microenvironment and had a synergistic effect with the immune checkpoints PD1 and PD-L1. In conclusion, we proved that SERPINE1 is a promising prognostic and diagnostic biomarker for STAD and a potential target for immunotherapy.
Haojia Wang, Zhishan Wu, Xiaotian Fan, Chao Wu, Shan Lu, Libo Geng, Antony Stalin, Yingli Zhu, Fanqin Zhang, Jiaqi Huang,et al.
Springer Science and Business Media LLC
Abstract Background Pancreatic cancer is one of the most lethal cancers worldwide. Aidi injection (ADI) is a representative antitumor medication based on Chinese herbal injection, but its antitumor mechanisms are still poorly understood. Materials and methods In this work, the subcutaneous xenograft model of human pancreatic cancer cell line Panc-1 was established in nude mice to investigate the anticancer effect of ADI in vivo. We then determined the components of ADI using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) and explored the possible molecular mechanisms against pancreatic cancer using network pharmacology. Results In vivo experiments, the volume, weight, and degree of histological abnormalities of implanted tumors were significantly lower in the medium and high concentration ADI injection groups than in the control group. Network pharmacology analysis identified four active components of ADI and seven key targets, TNF, VEGFA, HSP90AA1, MAPK14, CASP3, P53 and JUN. Molecular docking also revealed high affinity between the active components and the target proteins, including Astragaloside IV to P53 and VEGFA, Ginsenoside Rb1 to CASP3 and Formononetin to JUN. Conclusion ADI could reduce the growth rate of tumor tissue and alleviate the structural abnormalities in tumor tissue. ADI is predicted to act on VEGFA, P53, CASP3, and JUN in ADI-mediated treatment of pancreatic cancer.
Devan Elumalai, Maduraiveeran Hemavathi, Durai Mary, Rajan Renuka Remya, Hamid Naima, Antony Stalin, Rajendiran Keerthiga, and Thodhal Yoganandham Suman
Elsevier BV
Ying-Ying Tan, Ying-Ying Liu, Jing-Yuan Zhang, Jia-Lin Li, Pei-Zhi Ye, Antony Stalin, Xiao-Tian Fan, Zhi-Hong Huang, Bing Li, Chao Wu,et al.
Medknow
Objective: To investigate the mechanism of Renshen Guben oral liquid (RSGB) enhancing immune function. Materials and Methods: Network pharmacology and molecular docking were used to intuitively demonstrate the mechanism of immune regulation of RSGB. Results: A total of 112 active compounds of RSGB were found, and 501 targets were predicted. Furthermore, 2974 immune targets were obtained from UniProt and NCBI Gene databases, and 111 common targets of RSGB and immunity were obtained. Among them, interleukin (IL) 6, tumor necrosis factor, AKT1, VEGFA, STAT3, MAPK1, SRC, EGFR, IL1B, and PTGS2 might be the key targets for RSGB to improve immunity. ClueGO and Kyoto Encyclopedia of Genes and Genomes analysis showed that the immunoregulatory mechanism of RSGB may find a relation with the B cell receptor signaling pathway and T cell receptor signaling pathway. Furthermore, this study preliminarily explored the mechanism of RSGB improving menopausal syndrome, polycystic ovary syndrome, and cancer-related fatigue by enhancing immunity. Conclusions: RSGB can improve the body’s immunity through multicomponent, multitarget, and multipathway. In addition, RSGB can also improve the immune capacity of the body to assist in the treatment of diseases, which has great potential as an immunomodulator.
N. Vasanth, , T. Dons, L. J. Michaelraj, P. Ganesan, S. H. Salmen, S. A. Alharbi, S. Mutheeswaran, M. Anthonysamy, S. Ignacimuthu,et al.
Virtual Company of Physics
The biogenic synthesis of silver nanoparticles mediated by medicinal plant Sterculia foetida was the prime experimental analysis of present study. The most important aim and focus of this study was to synthesis the AgNPs via biological method and the same had been evaluated against bio-film formation and dose dependent cyto-toxicity against cancer cells. This in vitro comprehensive analysis show that Ag had more advantage than other metals, the NPs was mediated by plant residue. And the NPs were further characterized by UV showing the sharp absorption peak at 455 nm; the identification of corresponding functional section proved by the parameter like FTIR, where conversion of Ag ions and capping agent is determined, the analysis on X- ray diffraction demonstrate the AgNPs found to be crystalline nature and face-centered like cubic structure. FESEM cum EDAX has showed the surface morphology with 40-50nm. After the physiochemical characterization, the AgNPs were evaluated with biofilm formation and cancer cells. In cyto-toxic study, two cell lines such as MCF 7 lung cancer cell line and A549 Breast cancer cell line were experimented and the values are AgNPs (IC50 =11.50± 0.05 µg and IC50 = 5.5± 0.05 µg/mL); AgNO3- (IC50 = 5.8± 0.05 µg and IC50 = 6.5± 0.05µg/mL) and Sterculia foetida (IC50 > 5000 µg/mL and IC50 < 5000 µg/mL). Another application of this present study is anti-biofilm assay. The selected bacterial strains are methicillinresistant Staphylococcus aureus; PA 14-Pseudomonas aeruginosa and Vibrio cholerae. Hence, the findings recommend that silver nanoparticles from medicinal plant Sterculia foetida is effective and can be used against bacteria and more precisely for cancer cell study.
Jintao Wang, Huan Liu, Zhuolin Sun, Xinyi Zou, Zixuan Zhang, Xiaofeng Wei, Lanying Pan, Antony Stalin, Wei Zhao, and Yuan Chen
MDPI AG
TWIK1 (K2P1.1/KCNK1) belongs to the potassium channels of the two-pore domain. Its current is very small and difficult to measure. In this work, we used a 100 mM NH4+ extracellular solution to increase TWIK1 current in its stable cell line expressed in HEK293. Then, the inhibition of magnolol on TWIK1 was observed via a whole-cell patch clamp experiment, and it was found that magnolol had a significant inhibitory effect on TWIK1 (IC50 = 6.21 ± 0.13 μM). By molecular docking and alanine scanning mutagenesis, the IC50 of TWIK1 mutants G229A, T225A, I140A, L223A, and S224A was 20.77 ± 3.20, 21.81 ± 7.93, 10.22 ± 1.07, 9.55 ± 1.62, and 7.43 ± 3.20 μM, respectively. Thus, we conclude that the inhibition of the TWIK1 channel by magnolol is related to G229 and T225 on the P2- pore helix.
Zhihong Huang, Chao Wu, Wei Zhou, Shan Lu, Yingying Tan, Zhishan Wu, Rongli You, Antony Stalin, Fengying Guo, Jingyuan Zhang,et al.
Elsevier BV
Jialin Li, Siyu Guo, Yingying Tan, Jingyuan Zhang, Zhishan Wu, Antony Stalin, Fanqin Zhang, Zhihong Huang, Chao Wu, Xinkui Liu,et al.
Ovid Technologies (Wolters Kluwer Health)
Background: Coronavirus disease 2019 (COVID-19) has spread rapidly worldwide, leading to a pandemic. In China, Xiyanping injection (XYP) has been recommended as a drug for COVID-19 treatment in the Guideline on Diagnosis and Treatment of COVID-19 by the National Health Commission of the People Republic of China and National Administration of Traditional Chinese Medicine (Trial eighth Edition). However, the relevant mechanisms at the molecular-level need to be further elucidated. Methods: In this study, XYP related active ingredients, potential targets and COVID-19 related genes were searched in public databases. Protein-protein interaction network and module analyzes were used to screen for key targets. gene ontology and Kyoto encyclopedia of genes and genomes were performed to investigate the potentially relevant signaling pathways. Molecular docking was performed using Autodock Tools and Vina. For the validation of potential mechanism, PolyI:C was used to induce human lung epithelial cells for an inflammation model. Subsequently, CCK-8 assays, enzyme-linked immunosorbent assay, reverse transcription quantitative polymerase chain reaction and western blot were employed to determine the effect of XYP on the expression of key genes. Results: Seven effective active ingredients in XYP were searched for 123 targets in the relevant databases. Furthermore, 6446 COVID-19 disease targets were identified. Sodium 9-dehydro-17-hydro-andrographolide-19-yl sulfate was identified as the vital active compounds, and IL-6, TNF, IL-1β, CXCL8, STAT3, MAPK1, MAPK14, and MAPK8 were considered as the key targets. In addition, molecular docking revealed that the active compound and the targets showed good binding affinities. The enrichment analysis predicted that the XYP could regulate the IL-17, Toll-like receptor, PI3K-Akt and JAK-STAT signaling pathways. Consistently, further in vitro experiments demonstrated that XYP could slow down the cytokine storm in the lung tissue of COVID-19 patients by down-regulating IL-6, TNF-α, IL-1β, CXCL8, and p-STAT3. Conclusion: Through effective network pharmacology analysis and molecular docking, this study suggests that XYP contains many effective compounds that may target COVID-19 related signaling pathways. Moreover, the in vitro experiment confirmed that XYP could inhibit the cytokine storm by regulating genes or proteins related to immune and inflammatory responses.
Shan Lu, Xinkui Liu, Chao Wu, Jingyuan Zhang, Antony Stalin, Zhihong Huang, Yingying Tan, Zhishan Wu, Leiming You, Peizhi Ye,et al.
Ovid Technologies (Wolters Kluwer Health)
Hepatocellular carcinoma (HCC) is one of the most malignant tumors with a poor prognosis. The long non-coding RNA (lncRNA) has been found to have great potential as a prognostic biomarker or therapeutic target for cancer patients. However, the prognostic value and tumor immune infiltration of lncRNAs in HCC has yet to be fully elucidated. To identify prognostic biomarkers of lncRNA in HCC by integrated bioinformatics analysis and explore their functions and relationship with tumor immune infiltration. The prognostic risk assessment model for HCC was constructed by comprehensively using univariate/multivariate Cox regression analysis, Kaplan–Meier survival analysis, and the least absolute shrinkage and selection operator regression analysis. Subsequently, the accuracy, independence, and sensitivity of our model were evaluated, and a nomogram for individual prediction in the clinic was constructed. Tumor immune microenvironment (TIME), immune checkpoints, and human leukocyte antigen alleles were compared in high- and low-risk patients. Finally, the functions of our lncRNA signature were examined using Gene Ontology, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and gene set enrichment analysis. A 6-lncRNA panel of HCC consisting of RHPN1-AS1, LINC01224, CTD-2510F5.4, RP1-228H13.5, LINC01011, and RP11-324I22.4 was eventually identified, and show good performance in predicting the survivals of patients with HCC and distinguishing the immunomodulation of TIME of high- and low-risk patients. Functional analysis also suggested that this 6-lncRNA panel may play an essential role in promoting tumor progression and immune regulation of TIME. In this study, 6 potential lncRNAs were identified as the prognostic biomarkers in HCC, and the regulatory mechanisms involved in HCC were initially explored.
Dongrong Cheng, Xiaofeng Wei, Yanting Zhang, Qian Zhang, Jianwei Xu, Jiaxin Yang, Junjie Yu, Antony Stalin, Huan Liu, Jintao Wang,et al.
MDPI AG
Erythromycin is one of the few compounds that remarkably increase ether-a-go-go-related gene (hERG) inhibition from room temperature (RT) to physiological temperature (PT). Understanding how erythromycin inhibits the hERG could help us to decide which compounds are needed for further studies. The whole-cell patch clamp technique was used to investigate the effects of erythromycin on hERG channels at different temperatures. While erythromycin caused a concentration-dependent inhibition of cardiac hERG channels, it also shifted the steady-state activation and steady-state inactivation of the channel to the left and significantly accelerated the onset of inactivation at both temperatures, although temperature itself caused a profound change in the dynamics of hERG channels. Our data also suggest that the binding pattern to S6 of the channels changes at PT. In contrast, cisapride, a well-known hERG blocker whose inhibition is not affected by temperature, does not change its critical binding sites after the temperature is raised to PT. Our data suggest that erythromycin is unique and that the shift in hERG inhibition may not apply to other compounds.
Siyu Guo, Xinkui Liu, Jingyuan Zhang, Zhihong Huang, Peizhi Ye, Jian Shi, Antony Stalin, Chao Wu, Shan Lu, Fanqin Zhang,et al.
Elsevier BV
Yingying Tan, Zhihong Huang, Yingying Liu, Xiaojiaoyang Li, Antony Stalin, Xiaotian Fan, Zhishan Wu, Chao Wu, Shan Lu, Fanqin Zhang,et al.
Elsevier BV
Rajan Samuel, Ganesan Pathalam, Velmurugan Babu, Ragavendran Kamaraj, Mutheeswaran Subramanian, Stalin Antony, Nagul Kumar Sanmugapriya, Senthilkumaar Palaniswamy, and Ignacimuthu Savarimuthu
Elsevier BV