XUHUI ZHAO^1,2, XIAOMIN HUANG¹, CHUNYAN DANG², XIA WANG¹, YUJIAO QI³, HONGLING LI^2,*

Oncology Research, Vol.32, No.5, pp. 999-1009, 2024, DOI:10.32604/or.2024.046679

Abstract Background: EBV-miR-BARTs exhibit significant relevance in epithelial tumors, particularly in EBV-associated gastric and nasopharyngeal cancers. However, their specific mechanisms in the initiation and progression of gastric cancer remain insufficiently explored. Material and Methods: Initially, EBV-miRNA-BART6-5p and its target gene SMAD4 expression were assessed in EBV-associated gastric cancer tissues and cell lines. Subsequent transfection induced overexpression of EBV-miRNA-BART6-5p in AGS and MKN-45, and downregulation in EBV-positive cells (SUN-719). The subsequent evaluation aimed to observe their impact on gastric cancer cell proliferation, migration, and glycolytic processes, with the TGF-β/SMAD4 signaling pathway value clarified using a TGF-β inhibitor. Results: EBV-miRNA-BART6-5p exhibits pronounced upregulation… More >

DANPING ZHU^1,#, GUANGMING LIU^1,#, KUAN FENG¹, SUYUN LI¹, DANDAN HU², SIDA YANG^3,*, PEIQING LI^1,*

BIOCELL, Vol.48, No.4, pp. 653-664, 2024, DOI:10.32604/biocell.2024.044856

Abstract Background: During Enterovirus type 71 (EV71) infection, the structural viral protein 1 (VP1) activates endoplasmic reticulum (ER) stress associated with peripheral myelin protein 22 (PMP22) accumulation and induces autophagy. However, the specific mechanism behind this process remains elusive. Methods: In this research, we used the VP1-overexpressing mouse Schwann cells (SCs) models co-transfected with a PMP22 silencing or Autocrine motility factor receptor (AMFR/gp78) overexpressing vector to explore the regulation of gp78 on PMP22 and its relationship with autophagy and apoptosis. Results: The activity of gp78 could be influenced by EV71-VP1, leading to a decrease in the ubiquitination and degradation of PMP22,… More >

Yiwen Li^1,#, Hongyan Si^1,#, Peng Wang¹, Hai Luo¹, Minggui Shen², Xiaoping Rao³, Zhanqian Song², Shibin Shang², Zongde Wang^1,*, Shengliang Liao^1,*

Journal of Renewable Materials, Vol.12, No.1, pp. 45-56, 2024, DOI:10.32604/jrm.2023.031089

Abstract Turpentine is a renewable and resourceful forest product. The deep processing and utilization of turpentine, particularly its primary component β-pinene, has garnered widespread attention. This study aimed to synthesize 40 derivatives of β-pinene, including nopinone, 3-cyanopyridines of nopinone, myrtanyl acid, myrtanyl acylthioureas, and myrtanyl amides. We assessed the antiviral activities of these β-pinene derivatives against influenza virus A/Puerto Rico/8/34 (H1N1) using the 3-(4,5-dimetylthiazol-2-yl)-2,5-diphenyltetrazolium bromide method. The β-pinene derivatives were used before and after cellular infection with the influenza virus to evaluate their preventive and therapeutic effects against the H1N1 virus. The results showed that only compound 10o exhibited a preventive… More > Graphic Abstract

YINGDONG ZHANG^1,2, MING CHU^1,2,*, HONGZHOU LU^3,*

BIOCELL, Vol.47, No.12, pp. 2591-2595, 2023, DOI:10.32604/biocell.2023.030331

Abstract Human immunodeficiency virus (HIV) infection of the central nervous system (CNS) has attracted significant attention because it contributes to severe complications of acquired immunodeficiency syndrome (AIDS) and seriously impairs the life quality of infected patients. In this review, we briefly describe the latent infection of HIV in CNS and focus on the role of the important immune cells, such as T cells, in the formation and maintenance of the HIV reservoir in CNS. This review explores the mechanisms by which T cells enter CNS and establish latent infection of HIV in the CNS. In conclusion, we summarize the role of… More > Graphic Abstract

Saeed M. Alshahrani¹, Jameel Almalki², Waleed Alshehri², Rashid Mehmood³, Marwan Albahar², Najlaa Jannah², Nayyar Ahmed Khan^1,*

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1793-1817, 2023, DOI:10.32604/csse.2023.039648

Abstract Artificial Intelligence (AI) has gained popularity for the containment of COVID-19 pandemic applications. Several AI techniques provide efficient mechanisms for handling pandemic situations. AI methods, protocols, data sets, and various validation mechanisms empower the users towards proper decision-making and procedures to handle the situation. Despite so many tools, there still exist conditions in which AI must go a long way. To increase the adaptability and potential of these techniques, a combination of AI and Bigdata is currently gaining popularity. This paper surveys and analyzes the methods within the various computational paradigms used by different researchers and national governments, such as… More >

YUE CAO, LIN HU, YISHU TANG^*

BIOCELL, Vol.47, No.7, pp. 1537-1548, 2023, DOI:10.32604/biocell.2023.027205

Abstract Backgrounds: Both hepatitis B virus X protein (HBx) and microRNA-221 (miR-221) have been implicated in the development of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). The present study demonstrates that HBx promotes HCC cell proliferation via the C-X-C motif chemokine ligand 12-C-X-C chemokine receptor type 4 (CXCL12-CXCR4) axis. We predict that HBx/miR-221-mediated CXCL12/CXCR4 signaling induces NKT cells to promote HBV-related HCC. Methods: After miR-221 mimic, miR-221 mimic negative control, miR-221 inhibitor, miR-221 inhibitor negative control were transfected into cells, the expression of CXCL12 and miR-221 was detected by qPCR and western blot. Then we constructed a stable HBV-HCC cell line.… More >

Wafa F. Alfwzan¹, Dumitru Baleanu^2,3,4, Fazal Dayan^5,*, Sami Ullah⁵, Nauman Ahmed^4,6, Muhammad Rafiq^7,8, Ali Raza^4,9

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1909-1924, 2023, DOI:10.32604/iasc.2023.039249

Abstract A susceptible, exposed, infectious, quarantined and recovered (SEIQR) model with fuzzy parameters is studied in this work. Fuzziness in the model arises due to the different degrees of susceptibility, exposure, infectivity, quarantine and recovery among the computers under consideration due to the different sizes, models, spare parts, the surrounding environments of these PCs and many other factors like the resistance capacity of the individual PC against the virus, etc. Each individual PC has a different degree of infectivity and resistance against infection. In this scenario, the fuzzy model has richer dynamics than its classical counterpart in epidemiology. The reproduction number… More >

Mohammed A. Al Ghamdi^*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 881-894, 2023, DOI:10.32604/cmc.2023.037826

Abstract Considerable resources, technology, and efforts are being utilized worldwide to eradicate the coronavirus. Although certain measures taken to prevent the further spread of the disease have been successful, efforts to completely wipe out the coronavirus have been insufficient. Coronavirus patients have symptoms similar to those of chest Tuberculosis (TB) or pneumonia patients. Chest tuberculosis and coronavirus are similar because both diseases affect the lungs, cause coughing and produce an irregular respiratory system. Both diseases can be confirmed through X-ray imaging. It is a difficult task to diagnose COVID-19, as coronavirus testing kits are neither excessively available nor very reliable. In… More >

Ahmed ElShafee¹, Walid El-Shafai^2,3, Abeer D. Algarni^4,*, Naglaa F. Soliman⁴, Moustafa H. Aly⁵

Computer Systems Science and Engineering, Vol.47, No.1, pp. 349-374, 2023, DOI:10.32604/csse.2023.037408

Abstract COVID-19 has significantly impacted the growth prediction of a pandemic, and it is critical in determining how to battle and track the disease progression. In this case, COVID-19 data is a time-series dataset that can be projected using different methodologies. Thus, this work aims to gauge the spread of the outbreak severity over time. Furthermore, data analytics and Machine Learning (ML) techniques are employed to gain a broader understanding of virus infections. We have simulated, adjusted, and fitted several statistical time-series forecasting models, linear ML models, and nonlinear ML models. Examples of these models are Logistic Regression, Lasso, Ridge, ElasticNet,… More >

Yuanyuan Li^1,#, Jinze Mu^2,#, Qingliang Li¹, Huabing Liu³, Xuefeng Yuan^2,*, Deya Wang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2079-2085, 2023, DOI:10.32604/phyton.2023.028237

Abstract Infection of plum bark necrosis stem pitting associated virus (PBNSPaV) has been reported in many Prunus species in several countries, causing significant economic losses. The very small proteins encoded by plant viruses are often overlooked due to their short sequences and uncertain significance. However, numerous studies have indicated that they might play important roles in the pathogenesis of virus infection. The role of small hydrophobic protein P6, encoded by the open reading frame 2 of PBNSPaV, has not been well explored. In this study, we amplified the P6 fragment from a PBNSPaV isolate by RT-PCR using specific primers and found… More >