Current Medicinal Chemistry - Online First
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101 - 120 of 190 results
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Synthesis and Antiproliferative Activity against Melanoma Cells of New Heterocyclic Hybrids Based on Pyridine and Pyrimidine Scaffolds
Available online: 10 June 2025More LessBackgroundOver 85% of biologically active compounds are heterocycles or contain heterocyclic groups, underscoring their vital importance in contemporary drug development. Among them, nitrogen-containing derivatives, such as pyridines and pyrimidines, are considered privileged structures in approved drugs or are extensively studied due to their promising therapeutic effects.
ObjectiveIn the current work, we would like to verify the hypothesis that incorporating heterocyclic pharmacophores into derivatives of pyrimidine-2(1H)-thione (PMT), 2-pyridone (P), pyridine-2(1H)-thione (PT), dihydropyrimidine-2(1H)-thione (DHPMT), dihydropyridin-2(1H)-one (DHP), and dihydropyridine-2(1H)-thione (DHPT) rings enhances antitumor activity.
MethodsA range of novel pyridine- and pyrimidine-based compounds were synthesized and assessed for their anticancer properties against the melanoma A375 cell line. The two most potent compounds (16b and 29) were then chosen for further evaluation of their effects on non-cancerous human dermal fibroblasts, cancer cell apoptosis, cell cycle phase distribution, and tubulin polymerization. Furthermore, in silico analyses were performed to assess the pharmacokinetics, toxicity, drug-likeness, and molecular target of the selected compounds.
ResultsAmong the 33 compounds tested, pyridine analogs 16b and 29 demonstrated the strongest antiproliferative activity (with IC50 values of 1.85 ± 0.44 µM and 4.85 ± 1.67 µM, respectively) and selectivity (SI=65.08 and SI> 100, respectively) against cancer cells. Additional studies revealed that compound 16b, which features a thiophene ring at the C-5 position and a 3,4,5-trimethoxyphenyl (TMP) group, showed the most promising cell cycle arrest and tubulin polymerization inhibition (IC50=37.26 ± 10.86 µM), resulting in cancer cell apoptosis. In silico ADMET analysis confirmed the drug- likeness of the synthesized compounds.
ConclusionThis research reinforced the significance of heterocyclic rings as valuable pharmacophores. Additionally, it highlighted the antiproliferative and antimitotic potential of modified pyridine derivatives.
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Recent Advances in FLT3-Based Dual Inhibitors: A Promising Strategy for the Treatment of Acute Myeloid Leukemia
Authors: Haibin Yuan, Jinxin Che and Tao LiuAvailable online: 03 June 2025More LessAcute Myeloid Leukemia (AML) is a hematological malignancy known for its aggressive nature, resistance to therapies, and high relapse rates. Approximately one-third of AML cases involve mutations in the FLT3 gene, making it a pivotal target for treatment strategies. Early FLT3 inhibitors demonstrated efficacy initially, yet subsequent issues with drug resistance and disease recurrence underscored the multifaceted challenges of AML management. Immunotherapy and combination therapies are effective strategies to overcome resistance, but there are limitations, such as toxic side effects. In contrast, FLT3 dual-target inhibitors exhibit excellent anti-tumor effects, while being safer and more controllable. Several of these inhibitors have progressed to clinical trials, underscoring their potential in advancing therapeutic options for AML. This review explores the synergistic potential of targeting FLT3 kinase in conjunction with other anti-cancer mechanisms and provides an overview of recent advancements in FLT3 dual-target inhibitors over the past decade.
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A Genetic Perspective to Reveal the Impact of Mitochondrial Dysfunction-related Genes on Diabetic Kidney Disease: A Multi-omics Study
Authors: Yan Zhang, Zeyuan Wang, Jin Shang, Yijun Dong and Zhanzheng ZhaoAvailable online: 03 June 2025More LessObjectiveThis study investigated the causes of Mitochondrial Dysfunction (MD) in Diabetic Kidney Disease (DKD) progression, and identified genes associated with DKD, especially those with significant genetic causal effects, to provide a theoretical basis for DKD treatment.
MethodsUsing a large database and single-cell RNA sequencing (scRNA-seq) data, 333 MDRDEGs were discovered. MDRDEGs were linked to AGE-RAGE signaling, RNA processing, protein transport, and energy metabolism using functional enrichment analysis. Seven MDRDEGs with significant genetic causal effects in DKD were discovered using SMR and MR analyses: ACTN1, ALG11, CCNB1, HIVEP2, MANBA, TUBA1A, and WFS1. Co-localization and scRNA-seq analyses examined these genes' DKD connections. Due to the high significance of its prediction model and DKD expression, ACTN1 was studied in depth. PheWAS and molecular dynamics analysis assessed ACTN1's safety and efficacy as a therapeutic target, and its connection with other symptoms. ACTN1 protein expression in DKD tissues was confirmed by immunofluorescence.
ResultsFunctional enrichment analysis revealed that MDRDEGs were mostly related to AGE-RAGE signaling, RNA processing, protein transport, and energy metabolism. Seven MDRDEGs caused DKD genetically in SMR and MR investigations. Genetic variations in ACTN1, ALG11, MANBA, and TUBA1A were linked to DKD by co-localization studies. scRNA-seq showed a dramatic increase in ACTN1 expression in DKD. Molecular dynamics analysis demonstrated that Dihydroergocristine can safely bind to ACTN1, while the PheWAS investigation found no significant relationships. DKD tissues exhibited higher ACTN1 protein levels via immunofluorescence.
DiscussionThis study identified MDRDEGs linked to inflammation, cytoskeletal stabilization, and glucose metabolism pathways critical in Diabetic Kidney Disease (DKD) pathogenesis, highlighting their clinical potential as therapeutic targets. Notably, ACTN1 emerged as a causally linked gene overexpressed in DKD, with the prediction of dihydroergocristine as a targeting compound, offering novel avenues for clinical intervention.
ConclusionThis study suggests that ACTN1 may be a therapeutic target for DKD and sheds light on its molecular pathogenesis, clinical prevention, and treatment.
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MDMA-Assisted Treatment for PTSD, Anxiety, and Depression: A Visualized Literature Analysis over 30 Years
Authors: Jinlong Zhang, Xingxing Dang, Jiang Lin, Qianqian Chen, Binbin Wang and Jie YanAvailable online: 02 June 2025More LessBackgroundThe incidence of psychiatric disorders, such as post-traumatic stress disorder (PTSD), anxiety, and depression, has been steadily increasing, while current treatment approaches remain limited in efficacy. As a result, there is an urgent need to explore more effective therapeutic interventions. In recent years, MDMA (3,4-methylenedioxymethamphetamine)-assisted therapy (MDMA-AT) has emerged as a promising and innovative approach, demonstrating favorable clinical potential in the treatment of these disorders. Although preliminary studies have confirmed its therapeutic efficacy, a comprehensive and systematic analysis of the research trends and current limitations of MDMA-AT remains lacking.
MethodsThis study employed a bibliometric approach to systematically retrieve and analyze research literature published between 1994 and 2023 on the application of MDMA in the treatment of PTSD, anxiety, and depression. Relevant data were obtained from three prominent databases: Web of Science Core Collection, PubMed, and Scopus. VOSviewer and Microsoft Excel were used to perform visual and quantitative analyses, focusing on publication trends, research hotspots, prolific authors, leading institutions, and international collaboration networks.
ResultsThe findings indicated a substantial increase in MDMA-related research over the past decade. The United States has led the field in publication output, with the Multidisciplinary Association for Psychedelic Studies (MAPS) identified as the most productive institution. Key figures, such as Rick Doblin, have demonstrated high influence and centrality within the global research network. The research focus has gradually shifted from investigations of the neurotoxic properties of MDMA to explorations of its therapeutic mechanisms, safety profiles, and clinical applications.
ConclusionThis study provides a comprehensive synthesis of the past thirty years of research on MDMA-AT in the treatment of PTSD, anxiety, and depression, identifying major research trajectories and critical challenges in the field. While current findings highlight the therapeutic promise of MDMA and its translational potential, further research is needed to improve trial design, enhance sample diversity, and evaluate long-term effects in order to support the standardization and evidence-based integration of MDMA-assisted therapy into clinical practice.
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Artificial Intelligence in Oral Cancer Diagnosis: Overcoming Challenges for Enhanced Outcomes
Authors: Thangavel Lakshmipriya and Subash C.B. GopinathAvailable online: 02 June 2025More LessOral-related cancer accounts for the sixth leading cause of cancer-related deaths and one death every hour in the United States. Several factors may contribute to the formation of oral tumors, including tobacco use, alcohol consumption, unhealthy diets low in fruits and vegetables, age, and general lifestyle. Smoking and alcohol consumption, in particular, have been found to contribute 80% and 61% to oral cancer in men and women, respectively. It is also well-known that oral cancer is more prevalent in underprivileged groups, where access to healthcare and health education, particularly education on making informed decisions to protect one’s health, is often not prioritized or enforced. In recent studies, besides tobacco and alcohol, HPV has been identified as a prominent risk factor, particularly HPV type 16, for oropharyngeal cancer. This virus is often associated with oropharyngeal cancers, which occur in the tonsils and base of the tongue.
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Metformin Protects Human Insulin from Fructosylation: An In Vitro Biochemical Study
Authors: Ali Raza, Safia Habib, Saba Noor, Ayaz Ahmad, Mohd Sharib Warsi, Moinuddin, Asif Ali and Riaz MahmoodAvailable online: 02 June 2025More LessIntroductionFructose, like other sugars and sugar metabolites, is capable of glycating protein. Insulin's fructosylation leads to the generation of Advanced Glycation End Products (AGEs). Reducing sugars reaction with proteins to form Schiff’s bases, which are characterized by the presence of an imine (C=N) bond. The Schiff bases then undergo irreversible rearrangements, followed by the production of much more stable compounds called Amadori products. These Amadori products can further undergo oxidation, dehydration, cyclization, and condensation to form highly toxic advanced glycation end-products (AGEs). These processes are accompanied by oxidative stress, secondary structural perturbations, and altered morphology, progressing toward amyloidogenesis. Metformin, a biguanide, is the most common drug used to treat type 2 Diabetes Mellitus (T2DM).
AimThe aim of this study was to evaluate the protective effect of metformin against fructosylation-induced cross-β structures and amyloid aggregations of human insulin.
MethodsUV-absorbance and fluorescence spectroscopy, determination of carbonyl content, free lysine and arginine residues, determination of fructosamine content, SDS-PAGE, circular dichroism (CD) spectroscopy, dynamic light scattering, and scanning and transmission electron microscopy.
ResultsPhysicochemical studies in the presence or absence of metformin revealed a concentration-dependent structural restoration of fructosylated insulin. Results from the thioflavin-T fluorescence assay suggested that metformin limited the transition of insulin from native to fibrillar state, which was validated by scanning and transmission electron microscopy. Metformin lowered the ThT fluorescence intensity in a concentration-dependent manner. The ThT-specific fluorescence intensity was reduced to 114 and 112.5%. The fluorescence intensity at 2.5 mM metformin was close to native insulin. Electron microscopy revealed that insulin fructosylated by 25 mM fructose in the presence of 2.5 mM metformin suppressed the formation of fibrillar structures. Dynamic light scattering data revealed the potential of metformin to conserve and reinstate the increased hydrodynamic radii (Rh) of fructosylated insulin close to the native conformer. The Rh values of native, fructosylated insulin and insulin incubated with fructose and metformin were found to be 2.65 ± 0.28, 307.6 ± 24.19 nm, and 110.1 ± 4.08 nm, respectively. This study also identified metformin as an antioxidant by protecting critical amino acid residues of the insulin domain.
DiscussionThe study reports the protective effects of metformin on insulin structure, conformation, and function. The findings suggest a potential role for metformin in improving the risk profile associated with insulin resistance due to altered structure or the accumulation of protein aggregates. Interaction studies between insulin and metformin presented here are due to the chemical effect; hence, further in-depth studies are required to identify the molecular mechanism of insulin sensitivity and changes in cellular processes and pathways.
ConclusionThe results suggest that metformin safeguards against fructosylation-induced structural, conformational, morphological, and amyloidogenic aggregating tendencies of insulin. Protein aggregation has been linked to several neurological and metabolic diseases. Hence, metformin may be crucial in preserving the biological activity of insulin by maintaining and protecting its structural integrity and minimizing the associated comorbidities. The study may further be extended to identify the role of metformin in controlling the gradual insulin resistance in T2DM at the molecular level.
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The Role of CDKs in the Regulation of the Monocyte/Macrophage Immune Response
Authors: Alexander N. Neznamov, Yulia P. Baykova and Marina V. KubekinaAvailable online: 29 May 2025More LessMonocytes/macrophages play an important role in controlling the onset and progression of inflammatory responses by changing their activation state. Inflammation accompanies some slowly progressing pathologies, such as neurodegenerative diseases, rheumatoid arthritis, atherosclerosis, and other inflammatory disorders. Monocyte/macrophage differentiation and polarization are accompanied by transcriptional profile changes. A better understanding of the specific ligands and receptors involved in the regulation of immune cell transcription will help to identify selective molecular targets for the therapy of inflammatory diseases. CDKs are key regulators of cell cycle and transcription in eukaryotes. Thus, this review is aimed to examine the role of CDKs in the monocyte-macrophage response and the data obtained from relevant experiments. M1 macrophages can trigger harmful inflammatory responses. A potential solution is to shift the polarization of macrophages towards the protective anti-inflammatory M2 phenotype (macrophage reprogramming). The mechanisms regulating this switch are crucial for the proper functioning of monocytes and macrophages. Inhibition of different types of CDKs leads to changes in the functional activity of monocytes/macrophages. It has been shown that monocytes/macrophage differentiation and immune functions are dependent on CDK activity. Recent studies on CDKs and their role in the immune system have concluded that their activity plays an essential role in monocyte/macrophage differentiation and immune functions. However, the role of CDKs in monocytes, macrophages, and the immune response is not fully understood. Unraveling the role of transcriptional regulators could provide valuable insights for the development of new treatments for macrophage-mediated inflammatory diseases.
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Capsid Assembly Modulators: A Promising Curative Regimen for Chronic Hepatitis B
Authors: Chunhua Ma, Xiaoyan Zhang, Junbiao Chang and Bin YuAvailable online: 23 May 2025More Less
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Betanin, a Natural Product from Red Beets, Improves Endothelial Dysfunction through Activation of Autophagy
Authors: Junpei Li, Luyan Xu, Duoduo Zha, Yixiong Zhan, Yijia Wu, Xianxian Mao, Li Zuo, Xinyan Bai, Linsiqi Wang, Kunhua Chen, Jinghua Luo and Yisong QianAvailable online: 22 May 2025More LessObjectiveEndothelial dysfunction is the altered pathological ability of endothelial cells to modulate the passage of cells and solutes across vessels, which underlies the development of inflammatory diseases. Betanin (betanidin-5-O-β-glucoside), a natural product rich in red beets, is a water-soluble nitrogen-containing pigment, and its potential protective effects on cardiovascular disease have been reported. In this study, we investigated the protective role of betanin in vascular endothelial dysfunction induced by TNFα and explored potential mechanisms.
MethodsWe modelled endothelial dysfunction through TNFα stimulation in human umbilical vein endothelial cells (HUVECs) and examined the role of betanin and its possible mechanism of action by MTT assay, Western blotting, and immunofluorescence staining. A systemic inflammation model of mice was built through LPS to investigate the protective roles of betanin.
ResultsBetanin pre-treatment increased cell viability, inhibited the expression of intercellular cell adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1), and improved endothelial tight junction by upregulating the expression of occludin and zonula occludens-1 (ZO-1) after TNFα stimulation in HUVECs. In terms of endothelial-mesenchymal transition, betanin up-regulated the expression of endothelial phenotypes VE-cadherin and CD31, whereas it inhibited the expression of mesenchymal phenotype N-cadherin, indicating that betanin reduced endothelial-mesenchymal transition in TNFα-stimulated HUVECs. In addition, betanin increased the expression of LC3 and decreased the expression of p62, two central proteins in autophagy. Betanin also reversed the abnormal autophagic flux after TNFα exposure. However, the specific autophagy inhibitor, 3-methyladenine, blocked the protective effect of betanin. Finally, betanin was found to greatly decrease ICAM-1 and VCAM-1 expression, and upregulate occludin and ZO-1 levels in a systemic inflammation model of mice.
ConclusionThe above results collectively suggested that betanin may improve endothelial dysfunction by promoting autophagy, thus exerting beneficial effects on cardiovascular health.
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Exploring New Frontiers in Pharmacological Treatment of Depression: A Review on Recent Advances
Authors: Muthukumaran Thulasingam and Chitra VellapandianAvailable online: 22 May 2025More LessThe current treatment strategy is still subpar, especially for severe mental problems, despite tremendous progress in the understanding of the central nervous system. Improving healthcare usually entails two main approaches: investigating new treatment approaches and improving current ones. New pharmacological options include enhanced monoaminergic pharmaceuticals, old treatments reassessed with a better knowledge of the biology of mental disease, and medications that target new therapeutic pathways. One major clinical challenge in the treatment of depression is resistance to antidepressant drugs. It appears promising to switch to monotherapy using new multifunctional antidepressants and add new atypical antipsychotics, such as brexpiprazole and aripiprazole. Current efforts are concentrated on unraveling depression's origins and pinpointing fresh targets for pharmacological intervention. This review explores encouraging novel pharmacological avenues for major depressive disorder treatment. These include targeting receptors, such as N-methyl-D-aspartate and metabotropic glutamate receptors, and employing glutamatergic modulators and various augmentation strategies, all of which hold the potential for reversal of depressant effects. Combining innovative concepts with enhancements of existing discoveries may propel antidepressant research forward, offering hope for developing compounds that are effective and rapid in their action, even among patients who have found limited success with other therapies.
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Construction of PANoptosis-related LncRNA Prognostic Signature and Functional Analysis of AC034229.4 in Hepatocellular Carcinoma
Authors: Rui He, Ningning Wang, Xiujuan Zheng, Baiming Jin, Xuying Li, Mingqi Li, Shijing Nian and Kewei WangAvailable online: 22 May 2025More LessAimsThis study aimed to establish a PANoptosis related prognostic signature and identify potential prognostic markers and therapeutic targets for HCC.
BackgroundHepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide. The survival rate of patients with HCC remains relatively low. PANoptosis can be mediated by lncRNA to involve the pathophysiology of HCC, but the mechanism is still unclear.
ObjectiveTCGA and GEO hepatocellular carcinoma databases and previous research results were used to construct the PANoptosis related risk model.
MethodsBased on the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, this study identified long non-coding RNAs (lncRNAs) associated with PANoptosis in HCC. Univariate, LASSO-Cox, and multivariate COX analyses were employed to gradually screen prognostic lncRNAs and construct prognostic models. Further analysis was conducted on the core lncRNA-AC034229.4.
ResultsA total of 8 differentially expressed lncRNAs closely correlated with HCC prognosis were discovered. A prognostic model comprising 6 lncRNAs (AC090192.2, LINC01703, AC034229.4, AC073352.1, AC004816.1, and AL136162.1) was established demonstrating good predictive ability for prognosis. Moreover, this prognostic model exhibited close associations with tumor immune microenvironment and immune checkpoints. Subsequent investigations revealed that AC034229.4 independently influenced HCC prognosis by regulating cell cycle progression and inhibiting the immune microenvironment response. Drug sensitivity analysis indicated that AC034229 .4 displayed sensitivity to various anticancer drugs as well. In addition, inhibition of AC034229 .4 expression suppressed HCC migration and invasion abilities.
ConclusionThis study generated a novel and efficient prognostic signature model while identifying AC034229 .4 as a promising diagnostic and prognostic biomarker in HCC.
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Relationship between 21 Medications and Negative Emotions: A Mendelian Randomization Analysis in Asian Populations
Authors: Xiaotong Wang, Yuhan Wei, Xi Nie, Yuchuan Zhang, Lan Yang, Weiting Zeng, Kexin Shi and Haixiong LinAvailable online: 19 May 2025More LessObjectiveNegative emotional states, such as nervousness, anxiety, depression, and tension, exert profound detrimental effects on an individual's quality of life and overall health. Although certain widely prescribed medications have been observed to modulate these emotional states, the existing body of research in this domain remains insufficient. To address this gap, Mendelian randomization (MR) methodologies, leveraging large-scale datasets, were employed to investigate the causal relationships between 21 commonly utilized medications and the manifestation of negative emotions.
MethodsThe inverse variance weighting (IVW) method was employed as the primary analytical strategy to analyze causal relationships. MR-Egger, weighted mode, and weighted median approaches were utilized to enhance the robustness of the results. Sensitivity analyses were conducted to assess the stability of the data.
ResultsAgents acting on the renin-angiotensin system, β-blocking agents, antithrombotic agents, and salicylic acid and derivatives could reduce the risk of nervousness, anxiety, tension, or depression (OR = 0.61, 95% CI 0.37 to 0.99, p = 0.047; OR = 0.59, 95% CI 0.36 to 0.98, p = 0.041; OR = 0.55, 95% CI 0.34 to 0.88, p = 0.013; OR = 0.61, 95% CI 0.40 to 0.95, p = 0.030), with no heterogeneity, horizontal pleiotropy, or reverse causation (p > 0.05).
ConclusionThis study revealed four medications associated with reducing the risk of negative emotions, providing clinicians with a scientific basis for medication selection to better assist patients in alleviating psychological issues and improving their quality of life.
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Cholesteatoma: An Updated Review of Molecular Pathogenesis and Potential Therapeutic Directions
Authors: Bingwen Xing, Yalong Dang and Kai XiAvailable online: 19 May 2025More LessCholesteatoma, an abnormal accumulation of keratinized squamous epithelium in the middle ear, occurs as a locally invasive but histologically benign lesion. Its capacity for bone erosion leads to significant complications, including hearing loss, facial nerve paralysis, and intracranial infections. Chronic inflammation is central to its pathogenesis, with proinflammatory mediators like TNF-α, IL-1β, and IL-6 activating signaling pathways, such as NF-κB, JAK/STAT, and MAPK. These pathways contribute to epithelial hyperproliferation and extracellular matrix degradation mediated by Matrix Metalloproteinases (MMPs). Dysregulation of epithelial cell behavior, involving altered keratinocyte function and reduced E-cadherin-mediated adhesion, may facilitate lesion formation and expansion. Furthermore, aberrant signaling involving growth factors (e.g., EGF, TGF-β) and dysregulation of osteoclast activity via the RANKL pathway contribute to enhanced bone erosion and tissue invasion. Emerging research highlights potential roles of the c-MYC proto-oncogene, microRNAs, and Sonic hedgehog signaling in disease progression, offering deeper insights into the pathogenesis. Current management primarily involves surgical excision, yet high recurrence rates emphasize the need for adjunctive therapeutic strategies. Potential future directions include modulating key pathways, such as NF-κB, MMP activity, and RANKL signaling, as well as exploring interventions related to growth factors and cell adhesion. Integrating molecular insights with clinical research is essential for developing strategies to reduce recurrence and improve patient outcomes.
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Emerging New Treatments for Colon Cancer
Authors: Sheu Ibrahim Adedayo and Eva Sonnenberg-RiethmacherAvailable online: 16 May 2025More LessColorectal cancer includes cancer of the rectum and colon. It is the primary cause of cancer-related deaths among men under 50 years of age. In 2022, over 1.9 million cases of CRC were reported, resulting in approximately 904,000 deaths worldwide. Factors like smoking, alcohol consumption, obesity, familial history, and inflammation significantly contribute to the risk of CRC development. Additionally, bacterial infections from organisms like Bacteroides fragilis, Fusobacterium nucleatum, and Helicobacter pylori also play a role in increasing this risk. Conventional treatment methods for CRC typically involve surgery/polypectomy, chemotherapy, and radiotherapy. Because of limitations like lack of target specificity, the risk of tumor relapse, and the potential for tumor resistance, there is a growing necessity for more individually tailored treatment strategies to improve the outcomes of patients with CRC. As such, emerging treatments like cancer vaccine, (CAR) T-cells, CAR-NK cells, macrophages, and stem cell engineering (particularly mesenchymal stem cells), dendritic vaccine, siRNA, and miRNA, hold significant promise in enhancing outcomes for CRC patients. Moreover, specific gut microbiomes like Bacteroides fragilis, Streptococcus gallolyticus, Enterococcus faecalis, and Escherichia coli, linked to CRC development, have been identified. Hence, modulating the gut microbiome to potentially enhance responses to CRC in high-risk populations could be a new line of treatment. This modulation can be accomplished through dietary interventions, prebiotics, probiotics, postbiotics, antibiotics, and fecal microbiota transplantation (FMT). This review summarizes the most promising new emerging treatments in the fight against colon cancer.
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A Neuroendocrine Differentiation-related Molecular Model for Prognosis Prediction in Prostate Cancer Patients
Authors: Yong Wei, Jiang-Bo Sun, Qian-Ren-Shun Qiu, Yu-Xuan Zhao, Qing-Shui Zheng, Xiong-Lin Sun, Ning Xu and Xue-Yi XueAvailable online: 15 May 2025More LessPurposeThe purpose of this study is to construct and validate a neuroendocrine differentiation-related molecular model for predicting prognosis in patients with prostate cancer (PCa).
Materials and MethodsTranscriptome data for PCa were collected from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) websites. Differentially expressed neuroendocrine differentiation related genes (NDGs) were identified. By utilizing multivariate Cox analysis, a neuroendocrine differentiation-related molecular model for predicting prognosis was constructed and validated. The study investigated the novel model’s association with the tumor immune microenvironment, clinicopathological characteristics, tumor stemness, and anticancer treatment sensitivity. Additionally, preliminary experimental verifications of Diencephalon / Mesencephalon Homeobox 1 (DMBX1) were conducted.
ResultsFinally, we identified a total of 19 differentially expressed NDGs. A neuroendocrine differentiation-related molecular model was established and successfully validated both internally and externally. The high-risk group exhibited significantly poorer biochemical recurrence-free survival (BCRFS) in the training, testing, and validating cohorts. The areas under the receiver operating characteristic curves for the training, testing, and validating cohorts were 0.825, 0.719, and 0.729, respectively. The tumor immune microenvironment, clinicopathological features, tumor stemness, and anti-cancer drug sensitivity was significantly different between high and low-risk patients. Preliminary experiments revealed that higher expression of DMBX1 significantly enhanced the proliferation, migration, and neuroendocrine differentiation of PCa cells.
ConclusionThis research developed a unique neuroendocrine differentiation-related molecular model that is highly suitable for predicting BCRFS. High DMBX1 expression may promote the development and neuroendocrine differentiation of prostate cancer.
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Next-generation Approaches in Targeting Polycystic Ovarian Syndrome: Innovative Strategies
Available online: 12 May 2025More LessPolycystic Ovary Syndrome (PCOS) is a complex endocrine disorder that affects millions of women worldwide and is characterized by ovarian dysfunction, hyperandrogenism, and metabolic abnormalities. The traditional diagnostic and therapeutic approaches often fail to address the multifaceted nature of PCOS. Recent advancements in next-generation sequencing (NGS), bioinformatics, and precision medicine have paved the way for innovative research and therapeutic strategies that promise to revolutionize PCOS management. This review focuses on exploring the genetic and molecular mechanisms of PCOS using innovative methodologies, such as genome-wide association studies (GWAS), transcriptomics, and computational approaches. Integrating big data analytics and machine learning algorithms enhances the predictive accuracy of PCOS diagnoses and treatment outcomes. In addition, the emergence of personalized medicine has enabled tailored therapeutic interventions based on individual genetic profiles and phenotypic expression. Furthermore, we explored the development of novel pharmacological agents and combinational therapies to enhance the understanding of PCOS pathophysiology. These approaches also focus on reducing inflammation, improving insulin sensitivity, and optimizing hormonal balance to achieve optimal health outcomes. The potential of digital health tools, including mobile applications and wearable technologies, to support self-monitoring and patient engagement in PCOS management is also highlighted. In conclusion, the integration of next-generation technologies and innovative research is necessary to transform the field of PCOS diagnosis and treatment, offering hope for more effective and individualized care. These underscore the importance of continued investment in advanced research methodologies and the adoption of personalized therapeutic strategies to address the complexities of PCOS.
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Binding Specificity and Local Frustration in Structure-based Drug Discovery
Authors: Zhiqiang Yan, Yuqing Li, Ying Cao, Xuetao Tao, Jin Wang and Yongsheng JiangAvailable online: 12 May 2025More LessEvolution has optimized proteins to balance stability and function by reducing unfavorable energy states, leading to regions of flexibility and frustration on protein surfaces. These locally frustrated regions correspond to functionally important areas, such as active sites and regions for ligand binding and conformational plasticity. Typical strategies of structure-based drug discovery primarily concentrate on enhancing the binding affinity during compound screening and target identification. However, this often overlooks the binding specificity, which is critical for distinguishing specific binding partners from competing ones and avoiding off-target effects. According to the energy landscape theory, optimization of the intrinsic binding specificity involves globally minimizing the frustrations existing in the biomolecular interactions. Recent studies have demonstrated that identifying local frustrations provides a promising approach for screening more specific compounds binding with targets, and quantifying binding specificity complements typical strategies that focus on binding affinity only. This review explores the principles and strategies of computationally quantifying the binding specificity and local frustrations and discusses their applications in structure-based drug discovery. Moreover, given the advancements of artificial intelligence in protein science, this review aims to motivate the integration of AI and available approaches in quantifying the binding specificity and local frustration. We expect that an AI-powered prediction model will accelerate the drug discovery process and improve the success rate of hit compounds.
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Nanomaterial Enhances the Performance of Amyloid-beta Biosensing for Alzheimer’s Disease Diagnosis
Authors: Zhong Zhao, Wenli Chen, Hao Tang, Xiaoyan Wang, Wenjiao Huang, Subash C.B. Gopinath and Shu YangAvailable online: 07 May 2025More LessBackgroundHighly sensitive, accurate, and low-cost detection systems are gaining interest for early intervention in the progression of Alzheimer's disease (AD). Amyloid-beta (Aβ), a peptide highly involved in the progression of AD, is found in abundance in patients with severe AD.
ObjectiveThis research focused on developing an Aβ oligomer (AβO) biosensor using a single-walled carbon nanotube-modified (SWCN) interdigitated electrode (IDE) sensor.
MethodsThe SWCN was functionalized onto the sensor surface through an amine linker, followed by the attachment of an aptamer-gold nanoparticle (GNP) complex, which was used to capture the AβO.
ResultsThe GNP-aptamer was saturated at 500 nM on the SWCN surface, and AβO was detected using a sandwich consisting of aptamer-AβO-antibody. The SWCN modification increased the number of aptamer attachment sites on the IDE, while the aptamer and antibody conjugation with GNP enhanced AβO interaction. This sandwich assay detected AβO at concentrations as low as 10 fM, with a linear regression coefficient (y = 2.9189x - 2.076; R2 = 0.9544). Furthermore, AβO-spiked artificial CSF was detected without interference, as confirmed by the increased current responses. No significant changes were recorded with control proteins, including α-synuclein, IgG antibody, and a complementary aptamer, indicating specific AβO detection.
ConclusionThis SWCN modified IDE-based sandwich detects AβO at its lower level and contributes to the early diagnosis of AD.
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Icaritin Attenuates HSC Activation by Down-regulating the HIF-1α and TGF-β/Smad Signaling Pathways to Ameliorate Liver Fibrosis
Authors: Keping Feng, Qiaoman Fei, Na Huang, Ke Du, Chengbo Zhang, Yudan Fan, Ying Zhou, Yaping Zhao, Pengfei Liu and Zongfang LiAvailable online: 05 May 2025More LessIntroductionIcaritin is a bioactive flavonol isolated from the Chinese medicinal herb Epimedium. The comprehensive understanding of antifibrotic effects and associated molecular mechanisms of icaritin remains incomplete. This study aims to explore the protective effects of icaritin against liver fibrosis and to further elucidate the mechanisms involved.
MethodsHuman hepatic stellate LX-2 cells stimulated with TGF-β1 and a carbon tetrachloride (CCl4)-induced liver fibrosis mouse model were employed. In vitro assays were carried out to evaluate collagen type I (COL I) and α-smooth muscle actin (α-SMA) expression, while in vivo studies assessed fibrosis alleviation. Molecular mechanisms were explored via analysis of TGF-β1, phosphorylated Smad2/3, and HIF-1α protein levels using Western blotting.
ResultsIcaritin suppressed TGF-β1-induced COL I and α-SMA expression in LX-2 cells and ameliorated liver fibrosis in CCl4-treated mice. Mechanistically, it significantly reduced TGF-β1 levels, inhibited Smad2/3 phosphorylation, and downregulated HIF-1α protein expression in LX-2 cells.
ConclusionIcaritin attenuated experimental liver fibrosis through the inhibition of the TGF-β/Smad and HIF-1α signaling pathways, highlighting its therapeutic potential for fibrotic liver diseases.
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Genetic Studies on Multiple Consanguineous Families Segregating Diverse Phenotypes of Microphthalmia Identified Novel and Recurrent Mutations
Available online: 05 May 2025More LessIntroductionAnophthalmia/microphthalmia (A/M) and anterior segment dysgenesis (ASD) are severe ocular anomalies impacting eye morphology, occurring in 30 per 100,000 live births. Genetic research has identified over 30 genes linked to A/M anomalies, with their products mainly involved in eye organogenesis.
Aims and ObjectivesThis study examined two consanguineous A/M families to identify disease-associated pathogenic mutations and predict their functional impact.
MethodologyPatients were clinically examined using A-scan and ophthalmic ultrasonography. Whole exome sequencing (WES) identified candidate pathogenic variants validated through Sanger sequencing. Computational analyses assessed the impact of these mutations on protein structure and function.
ResultsThe clinical diagnosis of family A revealed microphthalmia with ASD, while family B presented with an A/M phenotype. Exome analysis of family A identified a novel missense variant, NM_012293:c.A3742G [p.(Arg1248Gly)], in the peroxidasin (PXDN) gene (ClinVar ID: VCV001333267.1). At the cellular level, PXDN is involved in establishing sulfilimine bonds in collagen IV, a component of the basement membrane, suggesting that ocular defects may result from impaired integrity of the basement membrane in the developing eye. In contrast, Family B exhibited a nonsense variant NM _012186:c.720C>A (p.Cys240*) in the FOXE3 gene. This variant has been previously reported in other South Asian populations, suggesting a founder effect in subcontinent populations. Structural modeling and simulation analysis of mutant proteins revealed altered properties, thus corroborating the pathogenicity of the identified mutation.
ConclusionOur findings may contribute to the elucidation of genotype-phenotype correlations, potentially facilitating the molecular diagnosis of microphthalmia and ASD.
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