Evaluating the Therapeutic Efficacy of Lactobacillus Strains in the Management of Ulcerative Colitis: An Overview of Recent Advances.

Ulcerative Colitis (UC) known as a sub-category of Inflammatory Bowel Diseases (IBD) is a longterm condition that causes inflammation, irritation, and ulcers in the colon and rectum. Though the precise pathogenesis of UC is not fully understood yet, impaired immune responses and imbalanced intestinal microbiome composition have been regarded as two main key players in colitis pathobiology. As conventional treatments are challenged with limitations and side effects, finding a new therapeutic approach has gained increasing attention. Probiotic bacteria with multifunctional health-promoting properties have been considered novel therapeutic options. There is strong evidence indicating that probiotics exert their therapeutic effects mostly by regulating immune system responses and restoring gut microbiome homeostasis. These results validate the rationale behind the clinical application of probiotics in UC management whether prescribed alone or in combination with conventional therapy. This article explores the pathogenesis of UC, concentrating on the influence of immune dysregulation and intestinal microbiome imbalances. Also, it reviews recent in vitro, in vivo, and clinical studies that have demonstrated the efficacy of Lactobacillus species in decreasing UC symptoms by modifying immune responses, restoring gut microbiota balance, and promoting intestinal barrier function.

Machine learning algorithms and biomarkers identification for pancreatic cancer diagnosis using multi-omics data integration.

PURPOSE: Pancreatic cancer is a lethal type of cancer with most of the cases being diagnosed in an advanced stage and poor prognosis. Developing new diagnostic and prognostic markers for pancreatic cancer can significantly improve early detection and patient outcomes. These biomarkers can potentially revolutionize medical practice by enabling personalized, more effective, targeted treatments, ultimately improving patient outcomes. METHODS: The search strategy was developed following PRISMA guidelines. A comprehensive search was performed across four electronic databases: PubMed, Scopus, EMBASE, and Web of Science, covering all English publications up to September 2022. The Newcastle-Ottawa Scale (NOS) was utilized to assess bias, categorizing studies as "good," "fair," or "poor" quality based on their NOS scores. Descriptive statistics for all included studies were compiled and reviewed, along with the NOS scores for each study to indicate their quality assessment. RESULTS: Our results showed that SVM and RF are the most widely used algorithms in machine learning and data analysis, particularly for biomarker identification. SVM, a supervised learning algorithm, is employed for both classification and regression by mapping data points in high-dimensional space to identify the optimal separating hyperplane between classes. CONCLUSIONS: The application of machine-learning algorithms in the search for novel biomarkers in pancreatic cancer represents a significant advancement in the field. By harnessing the power of artificial intelligence, researchers are poised to make strides towards earlier detection and more effective treatment, ultimately improving patient outcomes in this challenging disease.

The Therapeutic Potential of Targeting Tumor Microenvironment and Modulation of Immunotherapy in Gastrointestinal Cancer.

Immunotherapy, as a novel treatment approach for various disorders, including cancers, is designed to either stimulate or suppress the immune system with high speci-ficity. The recent achievements of this therapy in clinical trials are set to transform tradi-tional treatment methods. Furthermore, it holds promise for enhancing the survival rates of patients suffering from both metastatic cancers and primary stages. Gastrointestinal Cancers (GI) account for 26% of global incidence and 35% of worldwide deaths. Treat-ment can be carried out using targeted immunotherapy in these cancers. If the tiers are superior, improvement could require more enterprise. On account that the function of immunotherapy in GI has been so promising, solely in sufferers with severe metastatic levels, within the literature, the immune checkpoint inhibitors in cancer immunotherapy of GI cancers, chimeric antigen receptor T-cell (vehicle-T), modulators of the tumor mi-croenvironment, and drug resistance mechanisms in immunotherapy as an effective treatment approach to GI cancers along with colon, pancreas, gastric, and esophageal cancers have been addressed. This review provides an overview of FDA-approved im-munotherapy drugs and ongoing preclinical developments. Additionally, we offer in-sights into the future of immunotherapy for GI cancer patients, addressing the associated challenges.

Darifenacin: a promising chitinase 3-like 1 inhibitor to tackle drug resistance in pancreatic ductal adenocarcinoma.

PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) is among the most aggressive malignancies. Our previous work revealed Chitinase 3-like 1 (CHI3L1) involvement in PDAC resistance to gemcitabine, identifying it as a promising therapeutic target. Here, we aimed to identify putative CHI3L1 inhibitors and to investigate their chemosensitizing potential in PDAC. METHODS: Docking analysis for CHI3L1 identified promising CHI3L1 inhibitors, including darifenacin (muscarinic receptor antagonist). PDAC cell lines (BxPC-3, PANC-1) and primary PDAC cells were used to evaluate darifenacin's effects on cell growth (Sulforhodamine B, SRB), alone or in combination with gemcitabine or gemcitabine plus paclitaxel. Cytotoxicity against normal immortalized pancreatic ductal cells (HPNE) was assessed. Recombinant protein was used to confirm the impact of darifenacin on CHI3L1-induced PDAC cellular resistance to therapy (SRB assay). Darifenacin's effect on Akt activation was analysed by ELISA. The association between cholinergic receptor muscarinic 3 (CHRM3) expression and therapeutic response was evaluated by immunohistochemistry of paraffin-embedded tissues from surgical resections of a 68 patients' cohort. RESULTS: In silico screening revealed the ability of darifenacin to target CHI3L1 with high efficiency. Darifenacin inhibited PDAC cell growth, with a GI50 of 26 and 13.6 µM in BxPC-3 and PANC-1 cells, respectively. These results were confirmed in primary PDAC-3 cells, while darifenacin showed no cytotoxicity against HPNE cells. Importantly, darifenacin sensitized PDAC cells to standard chemotherapies, reverted CHI3L1-induced PDAC cellular resistance to therapy, and decreased Akt phosphorylation. Additionally, high CHMR3 expression was associated with low therapeutic response to gemcitabine. CONCLUSION: This work highlights the potential of darifenacin as a chemosensitizer for PDAC treatment.

Oenothera biennis improves pregnancy outcomes by suppressing inflammation and fibrosis in an intra-uterine adhesion rat model.

Intrauterine adhesion (IUA), also referred to as Asherman's syndrome, is characterized by fibrosis, inflammation, and can cause amenorrhea and infertility due to abnormal endometrial healing. Histological and Molecular methods were used to evaluate the efficacy of EPO, which is traditionally known for its anti-inflammatory and fibrinolytic properties, in preventing the formation of IUA. Oral administration of EPO reduced the formation of adhesion bands and promoted endometrial regeneration. EPO administration decreased extracellular matrix accumulation, evidenced by the down-regulation of tissue COL1A1 and COL3A1 expression. The anti-inflammatory effect of EPO was confirmed by a reduction in oxidants and down-regulation of pro-inflammatory cytokines including TNF-α, IL-6, IFN-γ, and IL-1ß. Furthermore, EPO improved embryonic development parameters, including size and weight of embryo, as well as increased embryo count and live embryo percentage in the rat IUA model. EPO also positively enhanced implantation markers, particularly enlargement and mass gain in the placenta of the treated group, consequently improving pregnancy outcomes such as the number of babies, percent of live babies, baby weight and gestation time. Histopathological investigation provides evidence that oral administration of EPO showed no toxicity on the main three organs including liver, kidney and heart. These results showed that EPO can be considered as a safe and natural product with potent anti-inflammatory and fibrinolytic properties without any observed side effects for the treatment of IUA.

Interaction of High- and Low-Risk Human Papillomavirus Genotypes is Associated with a Reduced Risk of Developing Cervical Cancer.

INTRODUCTION: Cervical cancer is among the most common types of cancer in women and is associated with human papillomavirus (HPV) infection. The association between cervical cancer and high-risk HPV infection has been well documented. However, the effect of simultaneous infection with high- and low-risk HPV or low-risk HPV alone on the risk of developing cervical malignancy remains unanswered in guidelines. METHOD: We investigated the association of high and low-risk HPVs (HR or LR) genotypes with cervical carcinoma risk and pathological and cytological information in cases recruited from a population-based cohort study of 790 patients. Correlation matrix and t-test were used for analysis. RESULTS: The percentage of HR+LR and HR-HPV16/18 were 9.30% and 11.20% in class II, 7.15% and 7.10% in class IV, and 7.15% and 5.80% in As-CUS smears. Interestingly, concurrent infection with HR-HPV and LR-HPV types led to a significant reduction in the risk of developing malignancy compared to the high-risk group (OR=0.3 (0.098-0.925), pvalue=0.04). The percentage of individuals with cervical malignancy was 10.2% and 28.2% within the co-infected and the HR-HPV participants. CONCLUSION: Our findings suggest that simultaneous infection with high- and low-risk HPV may reduce the risk of cervical malignancy.

Identification of miR-20a as a Diagnostic and Prognostic Biomarker in Colorectal Cancer: MicroRNA Sequencing and Machine Learning Analysis.

INTRODUCTION: The differential expression of miRNAs, a key regulator in many cell signaling pathways, has been studied in various malignancies and may have an important role in cancer progression, including colorectal cancer (CRC). METHOD: The present study used machine learning and gene interaction study tools to explore the prognostic and diagnostic value of miRNAs in CRC. Integrative analysis of 353 CRC samples and normal tissue data was obtained from the TCGA database and further analyzed by R packages to define the deferentially expressed miRNAs (DEMs). Furthermore, machine learning and Kaplan Meier survival analysis helped better specify the significant prognostic value of miRNAs. A combination of online databases was then used to evaluate the interactions between target genes, their molecular pathways, and the correlation between the DEMs. RESULT: The results indicated that miR-19b and miR-20a have a significant prognostic role and are associated with CRC progression. The ROC curve analysis discovered that miR-20a alone and combined with other miRNAs, including hsa-mir-21 and hsa-mir-542, are diagnostic biomarkers in CRC. In addition, 12 genes, including NTRK2, CDC42, EGFR, AGO2, PRKCA, HSP90AA1, TLR4, IGF1, ESR1, SMAD2, SMAD4, and NEDD4L, were found to be the highest score targets for these miRNAs. Pathway analysis identified the two correlated tyrosine kinase and MAPK signaling pathways with the key interaction genes, i.e., EGFR, CDC42, and HSP90AA1. CONCLUSION: To better define the role of these miRNAs, the ceRNA network, including lncRNAs, was also prepared. In conclusion, the combination of R data analysis and machine learning provides a robust approach to resolving complicated interactions between miRNAs and their targets.

Diagnostic, prognostic, and predictive biomarkers in gastric cancer: from conventional to novel biomarkers.

Gastric cancer is a major health concern worldwide. The survival rate of Gastric cancer greatly depends on the stage at which it is diagnosed. Early diagnosis is critical for improving survival outcomes. To improve the chances of early diagnosis, regular screening tests, such as an upper endoscopy or barium swallow, are recommended for individuals at a higher risk due to factors like family history or a previous diagnosis of gastric conditions. Biomarkers can be detected and measured using non-invasive methods such as blood tests, urine tests, breath analysis, or imaging techniques. These non-invasive approaches offer many advantages, including convenience, safety, and cost-effectiveness, making them valuable tools for disease diagnosis, monitoring, and research. Biomarker-based tests have emerged as a useful tool for identifying gastric cancer early, monitoring treatment response, assessing the recurrence risk, and personalizing treatment plans. In this current review, we have explored both classical and novel biomarkers for gastric cancer. We have centralized their potential clinical application and discussed the challenges in Gastric cancer research.

Exploring Hepatocellular Carcinoma Pathogenesis: The Influence of Genetic Polymorphisms.

Hepatocellular carcinoma (HCC) is influenced by several factors, among which genetic polymorphisms play a key role. Polymorphisms in various genes affect key pathways involved in HCC development, including metabolism, expression of inflammatory cytokines, cell proliferation, and apoptosis regulation. These polymorphisms induce differential effects on susceptibility to HCC, disease progression, and treatment outcomes. Understanding the effect of genetic variations on HCC pathogenesis is essential to elucidate underlying mechanisms and identify potential therapeutic targets. This review explores the diverse roles of genetic polymorphisms in HCC, providing insights into the complex interplay between genetic factors and disease development.

Therapeutic potency of curcumin on radiodermatitis: A systematic review.

Objective: Radiodermatitis (RD) is a frequent adverse event of radiotherapy (RT). Currently, there is no consensus and approved protocol for the treatment of RD. Curcumin (CUR) is a natural polyphenol obtained from turmeric and it has low intrinsic toxicity in humans. The aim of this systematic review was to explore the efficacy of CUR for prevention and treatment of RD. Materials and Methods: A systematic literature review was performed in the following online databases: Cochrane library, PubMed, Scopus, Web of Science, MEDLINE, and EMBASE. Among the 5 selected records, 3 had a randomized clinical trial (RCT)-design and the other had a pilot and controlled study designed. The included studies were performed on breast cancer (N=3), head and neck cancers (N=1) and different types of cancer (N=1). Results: Four of the studies reported that the application of curcumin in cancer patients undergoing radiotherapy is associated with decreased intensity of radiodermatitis. However, one study did not report any significant effect of CUR on radiodermatitis. This review provides substantial evidence which confirm the clinical value of CUR in cancer supportive care. Conclusion: Further prospective clinical trials in larger scales are warranted in order to determine the " supplemental form and dose of CUR" for RD prevention and treatment in patients receiving radiotherapy.

The therapeutic potential of Wild Bitter Melon to ameliorate muscle atrophy in a murine model.

Objective: Muscle atrophy due to immobility is a common complication of many diseases and a consequence of therapeutic processes. Immobility and inactivity have been shown to be associated with increased inflammation. The aim of this study was to investigate the therapeutic potential of Wild Bitter Melon (WBM) (Momordica charantia Linn) on muscle atrophy due to immobility in a mouse model. Materials and Methods: This study was performed in two phases of atrophy and recovery on male BALB/c mice which were divided into 3 groups: control, immobilized, and experimental. The treatment period with WBM at a dose of 400 mg/kg daily by gavage was 17 days, including 7 days of being immobilized and 10 days of recovery. At the end of each phase, half of the mice from each group were examined regarding the four limb grip strength, and then histological and biochemical analyses were done. Results: The tissue level of malondialdehyde (MDA) oxidative stress index in the atrophy phase in the atrophy group (5.4567±0.522) nmol/g compared to the control group (3.455±0.065) nmol significantly (p 0.001) <) increased. Also, the tissue level of MDA in the WBM group (3.87±0.035) showed a significant decrease compared to the atrophy group (p<0.01). The strength percentage of four limbs in the mice of the treatment group (-23.46±2.45) was significantly higher than that of the atrophy group (-30.60±3.15) at the end of the atrophy phase. Conclusion: The results suggest that the use of WBM reduces the degree of inflammation, oxidative stress and muscle damage, as well as muscle atrophy, which may improve the muscle atrophy in mice.

The Role of Epigenetic Mechanisms in the Treatment of GI Cancers.

Epigenetic mechanisms have been shown to play a critical role in the development and progression of gastrointestinal [GI] cancers. These mechanisms involve modifications to DNA and histones that can alter gene expression patterns and may contribute to the initiation and progression of cancers. In recent years, epigenetic therapies have emerged as a promising approach to treating GI cancers. These therapies target specific epigenetic modifications, such as DNA methylation and histone acetylation, to restore normal gene expression patterns and inhibit cancer cell growth. Several epigenetic drugs have been approved for the treatment of GI cancers. Moreover, the use of epigenetic therapies in combination with other treatments, such as chemotherapeutic agents, is being studied to improve treatment outcomes. We have provided an overview of the role of epigenetic mechanisms in GI cancer treatment aimed to focus on recent evidence of the use of epigenetic agents in clinical and preclinical GI cancer studies, including gastric, esophageal, hepatic, pancreatic, and colorectal cancers. Overall, the role of epigenetic mechanisms in GI cancer treatments is an active area of research with the potential to improve patients' treatment outcomes and advance cancer treatment strategies.

The Long Noncoding RNA PANDAR as a Prognostic and Diagnostic Biomarker in Panceratic Cancer .

Pancreatic cancer (PC) is a lethal complication in the world, affecting around half a million individuals each year. The treatment of PC is relatively difficult due to the difficulty in making an early diagnosis. Most PC patients are confronted with locally metastatic or advanced diseases in the asymptomatic phase, and about 80% have late diagnosis with metastasis. Recently, long noncoding RNAs (lncRNAs) have drawn attention as a novel biological regulation layer. They take part in the regulation of mRNA and can be used as a prognostic factor or drug target. Based on their functions as regulators of PC initiation and progress, the lncRNAs can be categorized as tumor suppressors or oncogenic. They can be considered as a target for finding new biomarkers for prognosis, diagnosis, monitoring, and treating drug response in PC. Therefore, the present study summarizes the lncRNAs role in PC and the probable strategies to deal with their expression and controlling tumorigenesis and detection of the prognosis of PC.

Nanotechnological Advances in the Diagnosis of Gynecological Cancers and Nanotheranostics.

Gynecological cancers are one of the main causes of female mortality worldwide. Despite the various strategies to reduce mortality and improve quality of life, there are still many deficiencies in the diagnosis and treatment of gynecological cancers. One of the important steps to ensure optimal cancer treatment is the early detection of cancer cells and the use of drugs to reduce toxicity. Due to the increase in systemic toxicity and resistance to traditional and conventional diagnostic methods, new strategies, including nanotechnology, are being used to improve diagnosis and reduce the severity of the disease. Nanoparticles (NPs) provide exciting opportunities to improve Gynecological Cancers (GCs) diagnosis, particularly in the initial stages. In biomedical investigations and clinical settings, NPs can be used to increase the sensitivity and specificity of recognition and/or imaging of GCs with the help of their molecular and cellular processes. To design more efficient diagnostic NPs for gynecological cancer cells or tissues, determining the specific biomarkers is of great importance. NP-based imaging agents are another solution to trace cancer cells. This review highlights the potential of some NP-based diagnostic techniques in GC detection, which could be translated to clinical settings to improve patient care.

Maximizing Treatment Options for IBD through Drug Repurposing.

Chronic inflammation characterizes Inflammatory Bowel Disease (IBD), encompassing Crohn's Disease (CD) and Ulcerative Colitis (UC). Despite modest activity of disease in most UC patients, exacerbations occur, especially in those with severe symptoms, necessitating interventions, like colectomy. Current treatments for IBD, predominantly small molecule therapies, impose significant economic burdens. Drug repurposing offers a cost-effective alternative, leveraging existing drugs for novel therapeutic applications. This approach capitalizes on shared molecular pathways across diseases, accelerating therapeutic discovery while minimizing costs and risks. This article provides an overview of IBD and explores drug repurposing as a promising avenue for more effective and affordable treatments. Through computational and animal studies, potential drug candidates are categorized, offering insights into IBD pathogenesis and treatment strategies.

Pro-inflammatory responses after peptide-based cancer immunotherapy.

Therapeutic vaccinations are designed to prevent cancer by inducing immune responses against tumor antigens. in cancer cells, tumor-associated antigens (TAA) or tumor-specific (mutated) derived peptides are presented within the clefts of main histocompatibility complex (MHC) class I or class II molecules, they either activate cytotoxic T-lymphocytes (CTLs), CD4+ T or CD8+ T lymphocytes, which release cytokines that can suppress tumor cells growth. In cancer immunotherapies, CD8+ T lymphocytes are a major mediator of tumor repression. The effect of peptide-based vaccinations on cytokines in the activating CD8+ T cell against targeted tumor antigens is the subject of this review. It is believed that peptide-based vaccines increased IFN-γ, TNF-α, IL-2, and IL-12, secreting CTL line by interacting with dendritic cell (DC), supposed to stimulate immune system. Additionally, mechanisms of CTL activation and dysfunction were also studied. According to most of the data resulted from in vivo and in vitro research works, it is assumed that peptide-based vaccines increased IFN-γ, TNF-α, IL-2, and IL-12.

Biosensors for Detection of Hepatitis B Virus: Review.

Hepatitis B is still one of the most important infectious diseases among humans, which is considered a serious threat to their lives. Early diagnosis of this disease can be an effective measure in stopping the chain of transmission and treatment of the disease. In this review study, an attempt has been made to explain the use of biosensors as a fast, high-efficiency, and low-cost method in diagnosis. The biosensors prepared for hepatitis detection included DNA-based, aptamers-based, protein-based, enzyme-based, antibody-based, and polymers-based biosensors, each of which had different advantages. The results of this review showed that almost all introduced biosensors had an acceptable performance. However, we suggest that aptamers are desirable for biosensing applications because they can change their structure to properly bind to their target, are cost-effective to prepare, and are highly sensitive.

The therapeutic potential of angiotensin-converting enzyme inhibitor enalapril to ameliorate muscle atrophy in a murine model.

Muscle atrophy due to limb immobilization and inactivity is a common consequence of many diseases and treatment processes. One of the systems activated in inflammatory conditions is the renin-angiotensin system (RAS). The present study was conducted with the aim of investigating the effects of one of the angiotensin-converting enzyme (ACE) inhibitors, enalapril, on improving muscle atrophy caused by immobility. The study was conducted in three groups: a control, an atrophy, and an atrophy group treated with enalapril on Balb/c mice. After tying a splint to cause atrophy in one of the legs, daily treatment with enalapril intraperitoneally (dissolved in DMSO) at a dose of 10 mg/kg/day was done for 7 days. On the eighth day, the splint was opened and half of the mice were evaluated. Then, in the recovery phase, treatment with enalapril was continued in the remaining mice for 10 days without a splint. At the end of each phase, the mice were examined for the muscle strength of the lower limb muscles, and histological and biochemical analyses were subsequently carried out. The tissue level of the oxidative stress index MDA was evaluated, which showed a significantly lower level in the enalapril group compared to the atrophy group (*P<0.1). Also, inflammatory factors in the enalapril group showed a decrease compared to the atrophy group. The strength of four limbs in the mice of the treatment group (-18.36 ± 1.70 %) was significantly higher than that of the atrophy group (-30.33 ± 3 %) at the end of the atrophy phase and also after 10 days of recovery. The results suggest that the use of enalapril that reduces the activation of angiotensin II-dependent pro-oxidant and pro-inflammatory pathways may improve the functional disorder and muscle necrosis in the murine model of muscle atrophy.

Exploring Splicing Modulation as an Innovative Approach to Combat Pancreatic Cancer: SF3B1 Emerges as a Prognostic Indicator and Therapeutic Target.

Pancreatic ductal adenocarcinoma (PDAC) poses significant challenges in terms of prognosis and treatment. Recent research has identified splicing deregulation as a new cancer hallmark. Herein, we investigated the largely uncharacterized alternative splicing profile and the key splicing factor SF3B1 in PDAC pancreatic cells and tissues as a potential discovery source of plausible drug targets and new predictive biomarkers of clinical outcome. The research involved a transcriptome-wide analysis, comparing profiles of splicing profiles in PDAC primary cells with normal ductal cells. This revealed more than 400 significant differential splicing events in genes involved in regulation of gene expression, primarily related to mRNA splicing, and metabolism of nucleic acids. PDAC cultures were highly sensitive to the SF3B1 modulators, E7107 and Pladienolide-B, showing IC50s in the low nanomolar range. These compounds induced apoptosis, associated to induction of the MCL-1/S splice variant. and reduced cell migration, associated to RON mis-splicing. In an orthotopic mouse model, E7107 showed promising results. Furthermore, we evaluated SF3B1 expression in specimens from 87 patients and found a significant association of SF3B1 expression with progression-free and overall survival. In conclusion, SF3B1 emerges as both a potential prognostic factor and therapeutic target in PDAC, impacting cell proliferation, migration, and apoptosis. These findings warrant future studies on this new therapeutic strategy against PDAC.