Dynamic analysis of fractal-fractional cancer model under chemotherapy drug with generalized Mittag-Leffler kernel.

Background And Objective: Cancer's complex and multifaceted nature makes it challenging to identify unique molecular and pathophysiological signatures, thereby hindering the development of effective therapies. This paper presents a novel fractal-fractional cancer model to study the complex interplay among stem cells, effectors cells, and tumor cells in the presence and absence of chemotherapy. The cancer model with effective treatment through chemotherapy drugs is considered and discussed in detail.

Impact of 5-Flurouracil loaded chitosan nanoparticle on A375 and A431 cell line for the therapy of skin cancer.

Skin cancer is an uncontrolled proliferation of abnormal skin cells that is usually caused by damaging UV radiation. Skin cancer is classified into two types: non-melanoma skin cancer and melanoma skin cancer. The entire studies focus on cytotoxic effect of prepared 5-Flurouracil loaded chitosan nanoparticle using A375 and A431 skin cancer cell line.

Exploring the versatility of miRNA-128: a comprehensive review on its role as a biomarker and therapeutic target in clinical pathways.

MicroRNAs (miRNAs/ miRs) are short, noncoding RNAs, usually consisting of 18 to 24 nucleotides, that control gene expression after the process of transcription and have crucial roles in several clinical processes. This article seeks to provide an in-depth review and evaluation of the many activities of miR-128, accentuating its potential as a versatile biomarker and target for therapy; The circulating miR-128 has garnered interest because of its substantial influence on gene regulation and its simplicity in extraction. Several miRNAs, such as miR-128, have been extracted from circulating blood cells, cerebrospinal fluid, and plasma/serum.

Evaluation of Physicochemical Properties of Ipsapirone Derivatives Based on Chromatographic and Chemometric Approaches.

Drug discovery is a challenging process, with many compounds failing to progress due to unmet pharmacokinetic criteria. Lipophilicity is an important physicochemical parameter that affects various pharmacokinetic processes, including absorption, metabolism, and excretion. This study evaluated the lipophilic properties of a library of ipsapirone derivatives that were previously synthesized to affect dopamine and serotonin receptors.

Comparison of fatigue and functional status in elderly type 2 diabetes patients versus age and gender matched individuals.

Introduction: Fatigue is a common yet not frequently explored complication of diabetes. There are fewer studies available on the impact of diabetes on the severity of fatigue and the functional status of patients.

Methods: Fifty individuals meeting the inclusion criteria were included.

Numerical Analysis of Compound Biochemical Calcium Oscillations Process in Hepatocyte Cells.

The hepatocyte cells regulate the wide range of liver function by moderating cellular activities such as lipid, protein metabolism, carbohydrate, and interact with other cells for proliferation and maintenance. In hepatocyte cells, the concentration of calcium uptake is quite extensive from various agonists such as active subunit, active phospholipase C, free calcium in the cytosol, and endoplasmic reticulum. The overproduction and degradation of calcium signals can cause homeostasis, liver inflammation, and liver diseases.

2D dynamic analysis of the disturbances in the calcium neuronal model and its implications in neurodegenerative disease.

Ca signaling is an essential function of neurons to control synaptic activity, memory formation, fertilization, proliferation, etc. Protein and voltage-dependent calcium channels (VDCCs) maintain an adequate level of calcium concentration ([Ca]). An alteration in [Ca] leads to the death of the neurons that start the primary symptoms of the disease.

Estimation of selected elemental impurities by inductively coupled plasma-mass spectroscopy (ICP-MS) in commercial and fresh fruit juices.

The main objective of the study is the estimation of elemental impurities in selected packaged commercial fruit juices and fresh fruit juices available in Ahmedabad, Gujarat. Estimation of seventeen samples (9 commercial fruit juices and 8 fresh fruit juices) was carried out for elemental impurities which include lead, cadmium, arsenic, mercury, methyl mercury, nickel, chromium, tin, copper, and zinc. Inductively coupled plasma-mass spectroscopy (ICP-MS) with microwave-assisted sample digestion was used to determine the element content of samples.

Quality by Design Approach for Optimization of Microbial and pH-Triggered Colon-Targeted Tablet Formulation Using Carboxymethyl Tamarind Gum.

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Estimation of time since death using cardiac troponin I in case of death due to asphyxia and cardiotoxicity of acebutolol.

The objective of this study was to investigate the degradation pattern of cardiac troponin I in rats in vivo, and to determine whether the pattern was dependent on the cause of death, for the purpose of estimating the postmortem interval. The rats were categorized into three distinct groups depending on the factors leading to their demise: the control group, the group experiencing acebutolol-induced cardiotoxicity, and the group affected by asphyxia. The analysis encompassed the isolation and segregation of the protein, subsequently employing Western blotting as a means of visualizing the results.

Transition dynamics between a novel coinfection model of fractional-order for COVID-19 and tuberculosis via a treatment mechanism.

In this paper, a fractional-order coinfection model for the transmission dynamics of COVID-19 and tuberculosis is presented. The positivity and boundedness of the proposed coinfection model are derived. The equilibria and basic reproduction number of the COVID-19 sub-model, Tuberculosis sub-model, and COVID-19 and Tuberculosis coinfection model are derived.

Current trends in chromatographic prediction using artificial intelligence and machine learning.

Artificial intelligence (AI) and machine learning (ML) gained tremendous growth and are rapidly becoming popular in various fields of prediction due to their potential abilities, accuracy, and speed. Machine learning algorithms employ historical data to analyze or predict information using patterns or trends. AI and ML were most employed in chromatographic predictions and particularly attractive options for liquid chromatography method development, as they can help achieve desired results faster, more accurately, and more efficiently.

Hyperthermia and doxorubicin release by Fol-LSMO nanoparticles induce apoptosis and autophagy in breast cancer cells.

Studies on the anticancer effects of lanthanum strontium manganese oxide (LSMO) nanoparticles (NPs)-mediated hyperthermia at cellular and molecular levels are scarce. LSMO NPs conjugated with folic acid (Fol-LSMO NPs) were synthesized, followed by doxorubicin-loading (DoxFol-LSMO NPs), and their effects on breast cancer cells were investigated. Hyperthermia (45°C) and combination treatments exhibited the highest (∼95%) anticancer activity with increased oxidative stress.

Nano-vaccination Strategies: Applications and Challenges for Intranasal Immunization.

The nasal route, a subgroup of mucosal delivery systems, constitutes a lucrative and encouraging substitute for administering drugs and vaccines. Over the years, a lot of research has been done in this area, and scientists have successfully explored this pathway using novel formulations to combat several infections. This review article aims to address the pathways of mucosal immunization, the dominance of the nasal route over other mucosal routes for immunization, and the mechanism of generation of immunogenic response via nasal route and nanotechnology-based approaches for intranasal vaccination.