Toxic effects due to exposure heavy metals and increased health risk assessment (leukemia) Methaq hadi Lafta, Arghavan Afra, Indrajit Patra, Abduladheem Turki Jalil, Mohammad Javad Mohammadi, Aiman Mohammed Baqir Al-Dhalimy, Shukhrat Ziyadullaev, Fatemeh Kiani, Hafez Ajam Ekrami, Parisa Asban Reviews on Environmental Health, 2024 Heavy metals (HM) are among the elements that are rare in nature and threaten human health, animals, and the environment. Fix sources including (power plants, industries, homes) and mobile sources include (cars and motorcycles) are the main sources production and emission of HM. It is important to understand the main information about sources of emission, chemical processes (reactions, oxidation, and leaching), and how they precipitate. The aim of this study was to evaluation an increased risk of leukemia due to exposure to HM. In this article narrative, the first literature search was performed with 580 articles according to different databases: Elsevier, PubMed, Web of science, Spring, and Google Scholar databases. 70 articles were included in the analysis process. Finally, 8 full-text articles were selected in this research. The search was restricted to English-language papers published between 2000 and 2021. In final stage literature, there is a notable health effect (carcinogenic) because of exposure to heavy metals. According to the results of this research natural procedures and human activities (industrial processes, car exhaust, and cigarette smoke) are the most important of ways that heavy metals can enter the natural cycle. Air, food, soil, water, and groundwater are the main sources of heavy metals that can cause severe disorders in the human body. After entering the body through ingestion heavy metals produce stable bio-toxic compounds. These compounds by disrupting biological processes, interrupt the body’s functions and cause various cancers in the human body. The results of this study can help to politicians for make comprehensive decisions to solve the problem and increase public awareness of the use of protective equipment.
Designing Effective Multi-Target Drugs and Identifying Biomarkers in Recurrent Pregnancy Loss (RPL) Using In Vivo, In Vitro, and In Silico Approaches Andrés Alexis Ramírez-Coronel, Amirabbas Rostami, Laith A. Younus, José Luis Arias Gonzáles, Methaq Hadi Lafta, Ali H. Amin, Mohammed Abdulkadhim Saadoon, Hayder Mahmood Salman, Abolfazl Bahrami, Rossa Feilei, Reza Akhavan-Sigari Biomedicines, 2023 Recurrent pregnancy loss (RPL) occurs in approximately 5% of women. Despite an abundance of evidence, the molecular mechanism of RPL’s pathology remains unclear. Here, we report the protective role of polo-like kinase 1 (PLK1) during RPL. We aimed to construct an RPL network utilizing GEO datasets and identified hub high-traffic genes. We also investigated whether the expressions of PLK1 were altered in the chorionic villi collected from women with RPL compared to those from healthy early pregnant women. Gene expression differences were evaluated using both pathway and gene ontology (GO) analyses. The identified genes were validated using in vivo and in vitro models. Mice with PLK1-overexpression and PLK1-knockdown in vitro models were produced by transfecting certain plasmids and si-RNA, respectively. The apoptosis in the chorionic villi, mitochondrial function, and NF-κB signaling activity was evaluated. To suppress the activation of PLK1, the PLK1 inhibitor BI2536 was administered. The HTR-8/SVneo and JEG-3 cell lines were chosen to establish an RPL model in vitro. The NF-κB signaling, Foxo signaling, PI3K/AKT, and endometrial cancer signaling pathways were identified via the RPL regulatory network. The following genes were identified: PLK1 as hub high-traffic gene and MMP2, MMP9, BAX, MFN1, MFN2, FOXO1, OPA1, COX15, BCL2, DRP1, FIS1, TRAF2, and TOP2A. Clinical samples were examined, and the results demonstrated that RPL patients had tissues with decreased PLK1 expression in comparison to women with normal pregnancies (p < 0.01). In vitro, PLK1 knockdown induced the NF-κB signaling pathway and apoptosis activation while decreasing cell invasion, migration, and proliferation (p < 0.05). Furthermore, the in vivo model proved that cell mitochondrial function and chorionic villi development are both hampered by PLK1 suppression. Our findings revealed that the PLK1/TRAF2/NF-κB axis plays a crucial role in RPL-induced chorionic villi dysfunction by regulating mitochondrial dynamics and apoptosis and might be a potential therapeutic target in the clinic.
The role of miR-128 in cancer development, prevention, drug resistance, and immunotherapy Hendrik Setia Budi, Laith A. Younus, Methaq Hadi Lafta, Sameena Parveen, Hawraa Jabbar Mohammad, Zahraa Haleem Al-qaim, Mohammed Abed Jawad, Rosario Mireya Romero Parra, Yasser Fakri Mustafa, Firas Rahi Alhachami, Sajad Karampoor, Rasoul Mirzaei Frontiers in Oncology, 2023 A growing body of evidence has revealed that microRNA (miRNA) expression is dysregulated in cancer, and they can act as either oncogenes or suppressors under certain conditions. Furthermore, some studies have discovered that miRNAs play a role in cancer cell drug resistance by targeting drug-resistance-related genes or influencing genes involved in cell proliferation, cell cycle, and apoptosis. In this regard, the abnormal expression of miRNA-128 (miR-128) has been found in various human malignancies, and its verified target genes are essential in cancer-related processes, including apoptosis, cell propagation, and differentiation. This review will discuss the functions and processes of miR-128 in multiple cancer types. Furthermore, the possible involvement of miR-128 in cancer drug resistance and tumor immunotherapeutic will be addressed.
Synthesis, Characterization, and Application of Nanoparticles from Medicinal Plant-Based Carotenoids S. Saranyadevi, Lekshmi Gangadhar, Siva Sankar Sana, Aseel Abdulabbas Kadem Secondary Metabolites from Medicinal Plants Nanoparticles Synthesis and their Applications, 2023 In recent times, nanotechnology has gained enormous attention, particularly in the branch of pharmacological science in which particles are reduced to nanoscales and found to be more sensitive than their traditional counterparts. Firstly, synthetic concoctions and physical techniques have been used; nevertheless, the identification of adverse effects on human health has increased significantly. Nowadays, green synthesis is widely used for the synthesis of nanoparticles. This breakthrough is particularly beneficial in reducing the toxicity induced by conventional methods. Plant metabolites and natural products are used in green strategies to synthesize nanoparticles for therapeutics and other uses. Moreover, various plant-based carotenoid and algae extracts have synthesized many metallic nanoparticles. These studies have opened the way for using plant-based carotenoid extracts in developing nanoparticles since they reduce the need for reducing and stabilizing agents. Herein, we discussed green-synthesized metallic nanoparticles from flora and algae and their uses in various fields. Pharmacological features such as their anticancer, antibacterial, and antioxidant properties, prompted the team to write this chapter to explain various metal-based nanoparticles synthesized utilizing plants and algae.
Path Scheduling and Target Trajectory Optimization in UAVs Based on Dragonfly and Firefly Algorithms Methaq Hadi Lafta Advances in Engineering and Intelligence Systems, 2022 It is hoped that there will never be a war in the world, but one of the defensive requirements of any country during the war is the using Unmanned Aerial Vehicle used for destruction and defense. Today, UAVs movement from origin to destination is an important problem due to the abundant application of UAVs in wars and experimental research. This is important because the range of some UAVs in fly time is low, and others are very high due to their fuel. Parametric indeterminacy is several factors in UAVs movement prediction and trajectory, such as speed, movement angle, accuracy, movement time, and situation and direct control. So this research is trying to provide a method based on LQG controller with and then set motion and specify path scheduling without deviations based on swarm intelligence algorithms in combinational mode: Dragonfly-Firefly algorithm. The simulation results showed that the UAV power consumption is comparable to 56.2045 mW, which signifies a prosperous pass. Mean Square Error, Peak Signal to Noise Ratio, Signal-to-Noise Ratio, and Accuracy Criteria will all be used in this study. Based on the results of the evaluation criteria, it is feasible to ensure that the recommended technique will be used for UAV route scheduling and target trajectory optimization when the project is finished.
P53 long noncoding RNA regulatory network in cancer development Surendar Aravindhan, Laith A. Younus, Methaq Hadi lafta, Alexander Markov, Yulianna Ivanovna Enina, Natalya A. Yushchenkо, Lakshmi Thangavelu, Seyed Mojtaba Mostafavi, Michail V. Pokrovskii, Majid Ahmadi Cell Biology International, 2021
Safety Disposal of Electrophoresis Gels and PCR contaminate with Ethidium Bromide and alternative methods. Annals of Tropical Medicine and Public Health, 2019
RNBeads 2.0: Comprehensive analysis of DNA methylation data Annals of Tropical Medicine and Public Health, 2019
In-vitro chick chorioallantoic membrane study of chitosan capped 5-fluorouracil conjugated gold nanoparticles Annals of Tropical Medicine and Public Health, 2019
