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Ononin inhibits triple-negative breast cancer lung metastasis by targeting the EGFR-mediated PI3K/Akt/mTOR pathway

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Science China Life Sciences 2024年第9期67卷 1849-1866页

作者： Kumar ganesan Cong Xu Jianming Wu Bing Du Qingqing Liu Yue Sui Cailu Song Jinhui Zhang Hailin Tang Jianping Chen School of Chinese Medicine LKS Faculty of Medicine The University of Hong Kong School of Pharmacy Southwest Medical University Education Ministry Key Laboratory of Medical Electrophysiology Sichuan Key Medical Laboratory of New Drug Discovery and Druggability EvaluationLuzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica Southwest Medical University College of Food Science South China Agricultural University State Key Laboratory of Oncology in South China Guangdong Provincial Clinical Research Center for Cancer Sun Yat-sen University Cancer Center

The spreading of cancer cells from the primary tumor site to other parts of the body, known as metastasis, is the leading cause of cancer recurrence and mortality in patients with triple-negative breast cancer(TNBC). Overexpression of epidermal growth factor receptor(EGFR)is observed in approximately 70% of TNBC patients. EGFR is crucial for promoting tumor metastasis and associated with poor ***, it is vital to identify effective therapeutic strategies targeting EGFR inhibition. Ononin, an isoflavonoid found in various plants,such as clover and soybeans, has been shown to have anticancer properties in several cancers. In the present study, we aimed to investigate the effects of ononin on TNBC lung metastasis and the associated molecular pathways. We used various assays, including cell viability,colony formation, Transwell, wound healing, ELISA, Western blotting, and staining techniques, to achieve this objective. The results demonstrated that ononin effectively suppressed cellular proliferation and induced apoptosis, as evidenced by the cell viability assay, colony formation assay, and expression of apoptosis markers, and reduced the metastatic capabilities of TNBC cells. These effects were achieved through the direct suppression of cell adhesion, invasiveness and motility. Furthermore, in TNBC xenograft lung metastatic models, ononin treatment significantly reduced tumor growth and lung metastasis. Additionally, ononin reversed the epithelial-mesenchymal transition(EMT) by downregulating the expression of EMT markers and matrix metalloproteinases, as confirmed by Western blot analysis. Furthermore, ononin treatment reduced EGFR phosphorylation and suppressed the PI3K, Akt, and m TOR signaling pathways, which was further confirmed using EGFR agonists or inhibitors. Importantly, ononin treatment did not exert any toxic effects on liver or kidney function. In conclusion, our findings suggest that ononin is a safe and potentially therapeutic treatment

关键词： ononin TNBC breast cancer lung metastasis EGFR PI3k/Akt EMT therapeutic effect

Prediabetes: An overlooked risk factor for major adverse cardiac and cerebrovascular events in atrial fibrillation patients

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World Journal of Diabetes 2024年第1期15卷 24-33页

作者： Rupak Desai Nishanth Katukuri Sumaja Reddy Goguri Azra Kothawala Naga Ruthvika Alle Meena Kumari Bellamkonda Debankur Dey Sharmila ganesan Minakshi Biswas Kuheli Sarkar Pramoda Prattipati Shaylika Chauhan Independent Researcher Independent ResearcherAtlantaGA 30079United States Department of Internal Medicine Mayo ClinicRochesterMN 55902United States Department of Medicine Chalmeda Anand Rao Institute of Medical SciencesTelangana 505001India Department of Medicine Jawaharlal Nehru Medical CollegeBelgaum 590010India Department of Medicine Narayana Medical CollegeAndhra PradeshNellore 524003India Department of Medicine Dr Pinnamaneni Siddhartha Institute of Medical Sciences and Research FoundationVijaywada 521286India Department of Medicine Medical College KolkataKolkata 700073India Department of Medicine P.E.S.Institute of Medical Sciences and ResearchAndhra Pradesh 517425India Department of Medicine Shaheed Ziaur Rahman Medical CollegeBogra 5800Bangladesh Department of Medicine College of Medicine and J.N.M HospitalKalyani 741235India Department of Medicine Jawaharlal Nehru Medical College IndiaKarnatakaBelagavi 590010India Department of Internal Medicine Geisinger Health SystemWikes-BarrePA 18702United States

BACKGROUND Prediabetes is a well-established risk factor for major adverse cardiac and cerebrovascular events(maCCE).However,the relationship between prediabetes and maCCE in atrial fibrillation(AF)patients has not been extensively ***,this study aimed to establish a link between prediabetes and maCCE in AF *** To investigate a link between prediabetes and maCCE in AF *** We used the National Inpatient Sample(2019)and relevant ICD-10 CM codes to identify hospitalizations with AF and categorized them into groups with and without prediabetes,excluding *** primary outcome was maCCE(all-cause inpatient mortality,cardiac arrest including ventricular fibrillation,and stroke)in AF-related *** Of the 2965875 AF-related hospitalizations for maCCE,47505(1.6%)were among patients with *** prediabetes cohort was relatively younger(median 75 vs 78 years),and often consisted of males(56.3%vs 51.4%),blacks(9.8%vs 7.9%),Hispanics(7.3%vs 4.3%),and Asians(4.7%vs 1.6%)than the non-prediabetic cohort(PmaCCE compared to the non-prediabetic cohort[18.6%vs 14.7%,odds ratio(OR)1.34,95%confidence interval 1.26-1.42,Pmales had a stronger association(aOR 1.43)compared to females(aOR 1.22),whereas on the race-wise comparison,Hispanics(aOR 1.43)and Asians(aOR 1.36)had a stronger association with maCCE with prediabetes vs whites(aOR 1.33)and blacks(aOR 1.21).CONCLUSION This population-

关键词： Prediabetes Atrial fibrillation Cardiovascular disease risk major adverse cardiovascular and cerebrovascular events Stroke Mortality

Performance Analysis of a Heterogeneous Network Employing DAPSK Based OFDma-PON

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China Communications 2023年第3期20卷 128-145页

作者： Priyadharshini Rajasekaran Geetha ganesan Department of Electronics and Communication Engineering Sri Venkateswara College of EngineeringSriperumbudur 602117Tamil NaduIndia Department of Electronics and Communication Engineering College of Engineering GuindyAnna UniversityChennai 600025Tamil NaduIndia

Recent mobile broadband networks require heterogeneous networks supporting high capacity on demand.A hybrid Fiber-Wireless(Fi-Wi)access network integrating Differential Amplitude and Phase Shift Keying(DAPSK)based-Orthogonal Frequency Division Multiple Access(OFDma)Passive Optical Network(PON)and 4G wireless network using Radio over Fiber(Ro F)technique is *** proposed heterogeneous network is simulated,and the performance is analyzed in terms of Bit Error Rate(BER),Error Vector magnitude(EVM),Capacity,and Spectral *** proposed network is simulated considering a higher data rate of 10 and 25 Gbps,and the effect of system parameters like Laser Power,Fiber Length,and Number of users is *** results show that a higher network capacity of 720 Gbps with an average capacity of about 45 Gbps and a higher spectral efficiency of 4.85 bps/Hz is achieved for the multi-user heterogeneous network link with sixteen *** minimum value of optical power sufficient to achieve the desired BER is found to be-6 *** suitability of the proposed integrated architecture in supporting multiple services is analyzed by considering different services at each *** spectral efficiency of the multi-service link varies from 3 to 4 bps/Hz.

关键词： DAPSK OFDma PON RoF Spectral ef-ficiency

Minimum Spanning Trees Across Well-Connected Cities and with Location-Dependent Weights

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Communications in mathematics and Statistics 2022年第1期10卷 1-50页

作者： Ghurumuruhan ganesan Institute of mathematical Sciences HBNIChennaiIndia

Consider n nodes{X_(i)}_(1≤i≤n) independently and identically distributed(i.i.d.)across N cities located within the unit square *** city is modelled as an r_(n)×r_(n)square,and MSTC_(n)denotes the weighted length of the minimum spanning tree containing all the n nodes,where the edge length between nodes X_(i)and X_(j)is weighted by a factor that depends on the individual locations of X_(i)and X_(j).We use approximation methods to obtain variance estimates for MSTC_(n)and prove that if the cities are well connected in a certain sense,then MSTC_(n)appropriately centred and scaled converges to zero in *** the above proof techniques we also study MST_(n),the length of the minimum weighted spanning tree for nodes distributed throughout the unit square S with location-dependent edge *** this case,the variance of MST_(n)grows at most as a power of the logarithm of n and we use a subsequence argument to get almost sure convergence of MST_(n),appropriately centred and scaled.

关键词： Minimum spanning tree Well-connected cities Location-dependent edge weights

Chloride-Bridged Dimeric SalphenZr(IV) Cobaltate Catalyst Unleashes the Potential of Base-Free Carbonylative Polymerization for Biodegradable PHAs

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Chinese Journal of Chemistry 2023年第24期41卷 3560-3566页

作者： Vinothkumar ganesan Sungho Yoon Department of Chemistry Chung Ang University84 Heukseok-roDongjak-guSeoul06974 Republic of Korea

Poly(3-hydroxyalkanoates) (PHAs) are a promising class of biodegradable polymers,exhibiting properties comparable to traditional petroleum-based ***,the widespread commercialization of PHAs is hindered by the absence of an efficient and economically viable catalytic system,impeding their competitiveness against non-biodegradable *** an effort to address this challenge,we present a study on a newly developed chloro-bridged dimeric salphen zirconium cobaltate complex for the direct synthesis of PHAs via carbonylative polymerization of *** catalytic system demonstrates favorable activity under mild reaction conditions,enabling complete monomer conversion and an impressive 92% selectivity towards PHA *** meticulous control experiments and mechanistic studies,we have gained crucial insights into the polymerization ***,our findings challenge the prevailing notion of sequential ring-opening polymerization of in-situ generated β-lactones as the primary ***,we demonstrate that the polymerization predominantly proceeds through direct co-polymerization of epoxide and carbon monoxide,unveiling a unique and efficient mechanism for PHA synthesis.

关键词： C1 building blocks Chloro bridged salphenZr(IV)dimer Homogeneous catalysis Carbonylation Carbonylative polymerization Biodegradable polymer Poly(3-hydroxyalkanoates)

Chaotic Simulator for Bilevel Optimization of Virtual machine Placements in Cloud Computing

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Journal of the Operations Research Society of China 2022年第4期10卷 703-723页

作者： Timothy ganesan Pandian Vasant Igor Litvinchev Member of American mathematical Society AlbertaT2P 0X2Canada Universiti Teknologi Petronas Seri Iskandar32610Malaysia Nuevo Leon State University San Nicolás de los GarzaNuevo LeónCP66450Mexico

The drastic increase in engineering system complexity has spurred the development of highly efficient optimization *** real-world optimization problems have been identified as bilevel/multilevel as well as *** primary aim of this work is to present a framework to tackle the bilevel virtual machine(VM)placement problem in cloud *** is done using the coupled map lattice(CML)approach in conjunction with the Stackelberg game theory and weighted-sum *** VM placement problem was modified from the original multiobjective(MO)problem to an MO bilevel formulation to make it more realistic albeit more *** comparative analysis on the performance of the CML approach was carried out against the particle swarm optimization method.A new bilevel metric called the cascaded hypervolume indicator is introduced and applied to measure the dominance of the solutions produced by both *** analysis on the computational results is presented.

关键词： Bilevel multiobjective Coupled map lattices(CML) Stackelberg game theory Particle swarm optimization(PSO) Cascaded hypervolume indicator(cHVI) Virtual machine(VM)placement

Dengue positivity among blood donors in hyper-endemic region of southern India

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Asian Pacific Journal of Tropical Medicine 2023年第4期16卷 190-192页

作者： ma.a.eva. ganesan Robert Sudha ganesan Sucila Thangam Sivathanu Lalitha Virus Research and Diagnostic Laboratory Department of MicrobiologyGovernment Theni Medical CollegeTheniTamil NaduIndia Department of Microbiology Government Theni Medical CollegeTheniTamil NaduIndia

Transfusion-transmitted infections(TTIs)impose meticulous screening protocols in blood *** or re-emerging viruses with altered pathogenicity remains debatable whether or not to include those in TTI screening *** infection is known to transmit via Aedes aegypti mosquito;however,the route of infection through blood transfusion is recently of greater *** with hyper-endemic and endemic dengue regions must guarantee the safety in transfusion-related *** donor with asymptomatic dengue infection during viremic phase can act as a reservoir for *** acute infection in dengue is ascertained by detecting either nonstructural-1 protein(NS1)or IgM antibody whereas the prevalence of dengue can be monitored by the presence of IgG.

关键词： transfusion reservoir guarantee

Progressive Transfer Learning-based Deep Q Network for DDOS Defence in WSN

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Computer Systems Science & Engineering 2023年第3期44卷 2379-2394页

作者： S.Rameshkumar R.ganesan A.Merline Department of Electronics and Communication Engineering Sethu Institute of TechnologyVirudhunagarTamilnaduIndia Department of Electrical and Electronics Engineering E.G.S.Pillay Engineering collegeNagapattinamTamilnaduIndia

In The Wireless Multimedia Sensor Network(WNSMs)have achieved popularity among diverse communities as a result of technological breakthroughs in sensor and current *** utilising portable technologies,it achieves solid and significant results in wireless communication,media transfer,and digital *** nodes have been used in agriculture and industry to detect characteristics such as temperature,moisture content,and other environmental conditions in recent *** have also made apps easier to use by giving devices self-governing access to send and process data connected with appro-priate audio and video *** video sensor network studies focus on lowering power consumption and increasing transmission capacity,but the main demand is data *** of the obstacles in the sensor nodes,WMSN is subjected to a variety of attacks,including Denial of Service(DoS)*** Convolutional Neural Network is designed with the stateaction relationship mapping which is used to identify the DDOS Attackers present in the Wireless Sensor Networks for Smart *** Proposed work it performs the data collection about the traffic conditions and identifies the deviation between the network conditions such as packet loss due to network congestion and the presence of attackers in the *** reduces the attacker detection delay and improves the detection *** order to protect the network against DoS assaults,an improved machine learning technique must be *** efficient Deep Neural Network approach is provided for detecting DoS in *** required parameters are selected using an adaptive particle swarm optimization *** ratio of packet transmission,energy consumption,latency,network length,and throughput will be used to evaluate the approach’s efficiency.

关键词： DOS attack wireless sensor networks for smart agriculture deep neural network machine learning technique

An Intelligent Intrusion Detection System in Smart Grid Using PRNN Classifier

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Intelligent Automation & Soft Computing 2023年第3期35卷 2979-2996页

作者： P.ganesan S.Arockia Edwin Xavier Department of Electrical and Electronics Engineering Government College of EngineeringSrirangamTrichy620012India Department of Electrical and Electronics Engineering Thiagarajar College of EngineeringMadurai625015India

Typically,smart grid systems enhance the ability of conventional power system networks as it is vulnerable to several kinds of *** vulnerabil-ities might cause the attackers or intruders to collapse the entire network system thus breaching the conﬁdentiality and integrity of smart grid ***,for this purpose,Intrusion detection system(IDS)plays a pivotal part in offering a reliable and secured range of services in the smart grid *** exist-ing approaches are there to detect the intrusions in smart grid framework,however they are utilizing an old dataset to detect anomaly thus resulting in reduced rate of detection accuracy in real-time and huge data *** as to overcome these limitations,the proposed technique is presented which employs both real-time raw data from the smart grid network and KDD99 dataset thus detecting anoma-lies in the smart grid *** the grid side data acquisition,the power trans-mitted to the grid is checked and enhanced in terms of power quality by eradicating distortion in transmission *** this approach,power quality in the smart grid network is enhanced by rectifying the fault using a FACT device termed UPQC(Uniﬁed Power Quality Controller)and thereby storing the data in cloud *** data from smart grid cloud storage and KDD99 are pre-pro-cessed and are optimized using Improved Aquila Swarm Optimization(IASO)to extract optimal *** probabilistic Recurrent Neural Network(PRNN)classiﬁer is then employed for the prediction and classiﬁcation of *** last,the performance is estimated and the outcomes are projected in terms of grid voltage,grid current,Total Harmonic Distortion(THD),voltage sag/swell,accu-racy,precision,recall,F-score,false acceptance rate(FAR),and detection rate of the classiﬁ*** analysis is compared with existing techniques to validate the proposed model efﬁciency.

关键词： Intrusion detection system anomaly detection smart grid power quality enhancement uniﬁed power quality controller harmonics elimination fault rectiﬁcation improved aquila swarm optimization detection rate