Notes

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Breast cancer is the most frequently diagnosed type of cancer in women (2.1 million) and stands as the fifth leading cause of death. Several treatment strategies are available such as surgical resection, radiation, hormonal therapy, and conventional chemotherapy that are associated with severe adverse effects on the patients.

This review aims to summarize the different studies (in vitro, in vivo, and new patents) concerning the therapeutic potential of plant polyphenolics in the management of breast cancer published in the period from January 2016 to January 2021. Moreover, this review will focus on the underlying mechanism of action and molecular characteristics of these compounds.

The data of this review were collected from different scientific databases such as PubMed, Science Direct, Google Scholarship, sci-finder, and Egyptian Knowledge bank (EKB).

During the last period (2016-2021), the in vitro studies investigated about 52 natural compounds of polyphenolic nature with promising anti-breast cancer, while fourteen compounds were reported via in vivo studies. Besides, there were about fifteen compounds registered as patent drugs. Different mechanisms of action and molecular targets were reported to provide a great clarified base and precise reflection for the anticancer properties of these compounds against breast cancer.

Polyphenolics represent a plentiful sources of anticancer lead compounds that stand against the progression of breast cancer invasion and metastasis.
Polyphenolics represent a plentiful sources of anticancer lead compounds that stand against the progression of breast cancer invasion and metastasis.Alzheimer disease (AD) is thought to be the metabolic illness raised by defective insulin signaling, insulin resistance, and low insulin levels in the brain, according to a growing body of research. The "Type 3 diabetes" has been postulated for AD because reduced insulin signalling has molecular and physiological consequences that are comparable to Type I and Type 2 diabetes mellitus (Type 1 DM and Type 2 DM, respectively). The similarities between type 2 diabetes and Alzheimer's disease suggest that these clinical trials might yield therapeutic benefits. However, it's important to note that lowering your risk of Alzheimer's dementia, whether you have diabetes or not, is still a multidimensional process involving factors like exercise, smoking, alcohol, food, and mental challenge. The current aim is to show the relationship between T3D and AD being based on both the processing of amyloid-β (Aβ) precursor protein toxicity and the clearance of Aβ are the result of an impaired insulin signaling. The brain's metabolism with its high lipid content and energy needs, places excess demands on mitochondria and appears more susceptible to oxidative damage than the rest of the body. Current data suggests that increased oxidative stress relates to amyloid-β (Aβ) pathology and onset of AD.
Obesity and diabetes are global epidemics that result in a slew of co-morbid illnesses. Both have been linked to an increased risk of hormonal imbalance, cancer, and other significant disorders, which are a concerning trend for cancer rates in the backdrop of rising obesity and diabetes rates worldwide. Around one in ten persons in the United States and Canada have serious illnesses correlated with type 2 diabetes and early death. It is believed that the US economy alone spends $245 billion annually. Lifestyle modification with intermittent fasting protocol and proper diet helps lower the blood glucose level and maintain the body mass index and reduced the inflammation in the body which is the main cause for all chronic diseases.

We searched case series, clinical trials relating to type 2 diabetes, insulin resistance, cancer, thyroid, cardiovascular disease or other inflammatory diseases in response to intermittent fasting in the PubMed, MEDLINE, and Google Scholar databases.

In this review, we focused egenerative diseases with dietary interventions.Brain tumors are nothing but a collection of neoplasms originated either from areas within the brain or from systemic metastasized tumors of other organs that have spread to the brain. It is a leading cause of death worldwide. The presence of the blood-brain barrier (BBB), blood-brain tumor barrier (BBTB), and some other factors may limit the entry of many potential therapeutics into the brain tissues in tumor area at the therapeutic concentration required for satisfying effectiveness. Liposomes are taking an active role in delivering many drugs through the BBB into the tumor due to their nanosize and their physiological compatibility. Further, this colloidal carrier can encapsulate both lipophilic and hydrophilic drugs due to its unique structure. The surface of the liposomes can be modified with various ligands that are very specific to the numerous receptors overexpressed onto the BBB as well as onto the diseased tumor surface site (i.e., BBTB) to deliver selective drugs into the tumor site. Moreover, the enhanced permeability and retention (EPR) effect can be an added advantage for nanosize liposomes to concentrate into the tumor microenvironment through relatively leaky vasculature of solid tumor in the brain where no restriction of penetration applies compared to normal BBB. Here in this review, we have tried to compilethe recent advancement along with the associated challenges of liposomes containing different anticancer chemotherapeutics across the BBB/BBTB for the treatment of gliomas that will be very helpful for the readers for better understanding of different trends of brain tumor targeted liposomes-based drug delivery and for pursuing fruitful research on the similar research domain.MicroRNAs (miRs) is a class of conserved, small, noncoding RNA molecules which modulate gene expression post-transcriptionally. miR-148b is a member of miR-148/152 family generally known to be a tumor suppressor via its affect on different signaling pathways and regulatory genes. Aberrant expression of miR-148b has recently been shown to be responsible for tumorigenesis for several different cancer types. This review discusses the current evidences regarding the involvement of miR-148b expression in human cancers and its potential clinical importance for tumor diagnosis, prognosis, and therapeutics.Colorectal cancer (CRC) is one of the main causes of malignancy-related mortality worldwide. It was well-identified that microRNAs (miRNAs) decisively participate in cellular biological pathways; in a way that their deregulated expression causes CRC progression. miRNAs can control the translation and degradation of mRNAs by binding to various molecular targets involved in different biological processes, including growth, apoptosis, cell cycle, autophagy, angiogenesis, metastasis, etc. The functions of these dysregulated miRNAs may be either oncogenic or tumor-suppressive. Therefore, these miRNAs can be contributed to prognostic, diagnostic, and therapeutic approaches in CRC. In this study, we reviewed the tumor-suppressive and oncogenic functions of miRNAs in CRC and assessed their molecular activities in CRC development. However, further investigation for the involvement of dysregulated miRNAs in CRC progression is required.
Pseudomonas aeruginosa is one of the most prevalent opportunistic pathogens in humans that has thrived and proved to be difficult to control in this "post-antibiotic era." Antibiotic alternatives are necessary for fighting against this resilient bacterium. Even though phages might not be "the wonder drug" that solves everything, they still provide a viable option to combat P. aeruginosa and curb the threat it imposes.

The combination of antibiotics with phages, however, poses a propitious treatment option for P. aeruginosa. Choline kinase (ChoK) is the enzyme that synthesizes phosphorylcholine subsequently incorporated into lipopolysaccharide located at the outer membrane of gram-negative bacteria. Recently, inhibition of ChoKs has been proposed as a promising antibacterial strategy. Successful docking of Hemicholinium-3, a choline kinase inhibitor, to the model structure of P. aeruginosa ChoK also supports the use of this inhibitor or its derivatives to inhibit the growth of this microorganism.

Therefore, the combination of the novel antimicrobial "choline kinase inhibitors (ChoKIs)" with a phage cocktail or synthetic phages as a potential treatment for P. aeruginosa infection has been proposed.
Therefore, the combination of the novel antimicrobial "choline kinase inhibitors (ChoKIs)" with a phage cocktail or synthetic phages as a potential treatment for P. aeruginosa infection has been proposed.
The aim of the study was to verify the ability of the deep learning model to identify five subtypes and normal images in non-contrast enhancement CT of intracranial hemorrhage.

A total of 351 patients (39 patients in the normal group, 312 patients in the intracranial hemorrhage group) who underwent intracranial hemorrhage noncontrast enhanced CT were selected, obtaining 2768 images in total (514 images for the normal group, 398 images for the epidural hemorrhage group, 501 images for the subdural hemorrhage group, 497 images for the intraventricular hemorrhage group, 415 images for the cerebral parenchymal hemorrhage group, and 443 images for the subarachnoid hemorrhage group). Based on the diagnostic reports of two radiologists with more than 10 years of experience, the ResNet-18 and DenseNet-121 deep learning models were selected. Transfer learning was used. 80% of the data was used for training models, 10% was used for validating model performance against overfitting, and the last 10% was used for the final evaluation of the model. Assessment indicators included accuracy, sensitivity, specificity, and AUC values.

The overall accuracy of ResNet-18 and DenseNet-121 models was obtained as 89.64% and 82.5%, respectively. The sensitivity and specificity of identifying five subtypes and normal images were above 0.80. PIN1 inhibitor API-1 molecular weight The sensitivity of the DenseNet-121 model to recognize intraventricular hemorrhage and cerebral parenchymal hemorrhage was lower than 0.80, 0.73, and 0.76, respectively. The AUC values of the two deep learning models were found to be above 0.9.

The deep learning model can accurately identify the five subtypes of intracranial hemorrhage and normal images, and it can be used as a new tool for clinical diagnosis in the future.
The deep learning model can accurately identify the five subtypes of intracranial hemorrhage and normal images, and it can be used as a new tool for clinical diagnosis in the future.Kidney disease has complex and multifactorial pathophysiology and pathogenesis. Recent studies have revealed that epigenetic methylation changes, namely DNA methylation, histone methylation and non-histone methylation, are strongly implicated in various forms of kidney diseases. This review provides a perspective on the emerging role of epigenetic methylation in kidney disease, including the effects of DNA methylation in diverse promoter regions, regulation and implication of histone methylation, and recent advances and potential directions related to non-histone methylation. Monitoring or targeting epigenetic methylation has potential to contribute to development of therapeutic approaches for multiple kidney diseases.
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