com/GaoYa1122/FermatS..

The findings demonstrate that the proposed method is effective for comparing, recognizing and predicting protein sequences. The main code and datasets can download from https//github.com/GaoYa1122/FermatS..

The use of nanoparticles has markedly increased in biomedical sciences. #link# The silver nanoparticles (AgNPs) have been investigated for their applicability to deliver chemotherapeutic agents in cancer treatment. However, the existing chemical and physical methods of synthesizing AgNPs are considered inefficient and expensive, and are fraught with toxicity.

Natural products have emerged as viable candidates for nanoparticle production, including the use of Terfezia boudieri (T. boudieri), a member of the edible truffle family. Accordingly, our goal was to synthesize AgNPs using the aqueous extract of T. boudieri (green synthesized AgNPs). Since certain infectious agents are linked to cancer, we further investigated their potential as anti-cancer and antibacterial agents.

The physico-chemical properties of green synthesized AgNPs were analyzed by UV-Vis, FT-IR, XRD, SEM and TEM. In addition, their potential to inhibit cancer cell (MCF-7 and AGS) proliferation as well as the growth of infectious bacteria were investigated. Synthesis of AgNPs was confirmed by the presence of an absorption peak at 450nm by spectroscopy.

The size of nanoparticles ranged between 20-30nm and exerted significant cytotoxicity and bactericidal effects in a concentration and time dependent manner compared to T. boudieri extract alone. Interestingly, synthesis of smaller AgNPs correlated with longer synthesis time and enhanced cytotoxic and bactericidal properties.

This study shows that synthesis of smaller AgNPs correlated with longer synthesis time and enhanced cytotoxic and anti-bacterial effects.

ARV-771 solubility dmso shows that synthesis of smaller AgNPs correlated with longer synthesis time and enhanced cytotoxic and anti-bacterial effects.

This study aimed at investigating the gastro-protective effects of Algerian Sahara (Sidr) honey from Apis mellifera intermissa against HCl/Ethanol-induced gastric ulcers in rats.

Total phenolic content, antioxidant activity and phenolic compounds were determined. Than, Three groups of rats (control, HCl/ Ethanol induced ulcer, and orally administered honey) were used for the determination of gastro protective effect of Sidr honey.

Total phenolic content, total flavonoid content, and DPPH activity of honey sample was determined as 47.35±3.35 mg GAE/ 100 g, 2.13±0.17 mg QE/ 100 g, and 229.24±0.02 mg/mL, respectively. Oral pretreatment of rats with honey (1.2 g/Kg body weight orally at interval of 2 days) protected gastric mucosa against HCl/Ethanol induced damage by decreasing ulcer score, the volume and acidity of gastric juice and increasing pH.

These results were confirmed by the histological assessment which demonstrated a significant gastro protective activity of Saharian (Sidr) honey against HCl/Ethanol-induced stomach ulcer. Plasma tumor necrosis factor-!, IL-6 and PGE2were also measured. Sahara honeys significantly decreased the plasma TNF-!, PGE2, and IL-6 concentrations.

These results were confirmed by the histological assessment which demonstrated a significant gastro protective activity of Saharian (Sidr) honey against HCl/Ethanol-induced stomach ulcer. Plasma tumor necrosis factor-!, IL-6 and PGE2were also measured. Sahara honeys significantly decreased the plasma TNF-!, PGE2, and IL-6 concentrations.Equol (4′,7-isoflavandiol), is a phytoestrogenic compound, which is synthesized from parent molecule diadzein by intestinal bacterial flora. It is among one of the most extensively researched molecule due to its high affinity towards estrogen receptors. Its enantiomeric form S-equol has been explored in the treatment of estrogen/androgen mediated diseases. Various therapeutic applications such as anti-cancer, cardioprotective, antidiabetic, antiosteoporosis, anti-ageing, and neuroprotective efficacy are attributed to it. This review explored major studies related to biochemistry and pharmacological applications of equol for human health.Epigenetics is a field of biological sciences focused on the study of reversible, heritable changes in gene function not due to modifications of the genomic sequence. These changes are the result of a complex cross-talk between several molecular mechanisms, that is in turn orchestrated by genetic and environmental factors. The epigenetic profile captures the unique regulatory landscape and the exposure to environmental stimuli of an individual. It thus constitutes a valuable reservoir of information for personalized medicine, which is aimed at customizing health-care interventions based on the unique characteristics of each individual. Nowadays, the complex milieu of epigenomic marks can be studied at the genome-wide level thanks to massive, highthroughput technologies. This new experimental approach is opening up new and interesting knowledge perspectives. However, the analysis of these complex omic data requires to face important analytic issues. Artificial Intelligence, and in particular Machine Learning, are emerging as powerful resources to decipher epigenomic data. In this review, we will first describe the most used ML approaches in epigenomics. We then will recapitulate some of the recent applications of ML to epigenomic analysis. Finally, we will provide some examples of how the ML approach to epigenetic data can be useful for personalized medicine.Breast cancer is one of the most lethal cancers in women worldwide, and the development of efficient treatments faces several challenges. Breast cancer is characterized by histological and functional heterogeneity in aspects such as tumorigenesis, metastasis and drug resistance. RNA therapy has emerged as highly attractive classes of drugs for the treatment and prevention of breast cancer. It might play remarkable regulatory roles in the treatment of targeted cells by either increasing or silencing expressions of specific proteins, and such features of RNA-based drugs cause high selectivity and low risk of off-target effect in breast cancer. RNA therapy exerts anti-proliferative and pro-apoptotic effects upon cell culture systems, animal models and in clinical trials in the most studies. In this mini review, we outline the classifications, mechanisms, advantages, and challenges of RNA therapy and highlight its application in breast cancer treatment. Additionally, we summarize the clinical trials of RNA-targeting therapies and the development of anti-tumor RNA drugs, and provide future directions for RNA therapeutics in breast cancer.

An association between migraine and Major Depression (MD) has been revealed in many clinical studies. Both diseases affect a large proportion of the global population. More understanding on the comorbidity mechanism of these two diseases can shed light on developing new therapies for both diseases.

To the best of our knowledge, there have not been any researches in the literature based on microRNA (miRNA) biomarkers to investigate the relationship between MD and migraine. In this study, we discuss the association of these two diseases based on their miRNA biomarkers. In addition to miRNA biomarkers, we also demonstrate epidemiological evidence for their association based on Taiwan Biobank (TWB) data.

Among the 12 migraine miRNA biomarkers, 11 of them are related to MD. Only miR-181a has no direct evidence involved in the mechanism of MD. link2 In addition to the biological biomarker evidence, the statistical analysis using the largescale epidemiologic data collected from TWB provides strong evidence on the relationship between MD and migraine.

The evidence based on both molecular and epidemiological data reveals the significant association between MD and migraine. This result can help investigate the correlated underlying mechanism of these two diseases.

The evidence based on both molecular and epidemiological data reveals the significant association between MD and migraine. This result can help investigate the correlated underlying mechanism of these two diseases.The PROTAC (PROteolysis TArgeting Chimera) technology is a target protein degradation strategy, based on the ubiquitin-proteasome system, which has been gradually developed into a potential means of targeted cancer therapy in recent years. This strategy has already shown significant advantages over traditional small-molecule inhibitors in terms of pharmacodynamics, selectivity, and drug resistance. Several small molecule PROTACs have been in a Phase I clinical trial. Herein, we introduced the mechanism, characteristics, and advantages of PROTAC strategy. And we summarize the recent advances in the development of small-molecule PROTACs for cancer treatment. We hope this review will be helpful in optimizing the design of the ideal small-molecule PROTACs and advancing targeted anticancer research.The investigation of the views of the stakeholders involved in the municipal solid waste separate collection programme (CP) performed in the East Zone of the city of São Paulo is presented in this paper. Aiming to obtain the necessary information to be analysed, interviews with the manager of the Municipal Urban Cleaning Authority (MUCA) of the city, with leaders of recycling worker cooperatives (WCs), and citizens were performed using semi-structured questionnaires. The analysis was performed using the software „IRAMUTEQ“. The results show that, in the view of the manager of the MUCA of the city and the WCs‘ leaders, the low adhesion of the population to the separate CP is the greatest obstacle to a further expansion of the existing programme. At the same time, the citizens have blamed the low diffusion made by the municipality about the separate CP in the East Zone of São Paulo. link3 Thus, it can be concluded that the separate CP available in the East Zone of São Paulo is still flawed; since neither the public power, the WCs, nor the population are satisfied and point out several flaws. This situation highlights the need to establish better venues for discussion between the population, WCs, and the municipality to jointly design a separate collection system with a more participatory approach.Objectives To demonstrate that a BRASS score≥ 3 at admission of intubated, ventilated and sedated patients is predictive of mortalityMethods we have realized an Observational prospective multicenter study.All Major patients without neurological history, admitted to ICU for a non-neurological cause, sedated and admitted under mechanical ventilation were included.Results One hundred and ten patients were included, the BRASS score as well as the FOUR and RASS scores were collected.At day 28, patients with a BRASS score ≥ 3 had an excess mortality (OR 3.29 – CI 95% [1.42-7.63], p = 0.005) as well as day 90 (OR 2.65 – CI 95% [1.19-5.88], p = 0.02), without impact on the delirium measured by CAM-ICU (OR 1.8 – CI 95% [0.68-4.77], p = 0.023). After adjustment with SAPS II, FOUR and RASS, difference in mortality was not any more different.It is also noted that patients with BRASS ≥ 3 are more sedated (RASS -5 [-5 – -5] vs -4 [-5 – -3], p less then 0.0001) and more comatose (FOUR 2 [1-4] vs 6 [4-9], p less then 0.0001), and have higher doses of midazolam (10 mg/h [5-15] vs 7.