Current Medicinal Chemistry - Online First

Sodium Selenite (NaSe) is a molecule with various biological activities. Bone fractures and osteoporotic diseases are increasingly common health issues, prompting the search for alternative treatments. Therefore, the purpose of this study was to examine the antioxidant and osteogenic properties of NaSe.

The experiments were conducted using the hFOB1.19 osteoblast cell line. The MTT assay was used to assess the effects of NaSe on cell viability, while cytotoxicity was evaluated with Lactate Dehydrogenase (LDH) assays. Osteogenic differentiation was assessed by alizarin red staining, and Alkaline Phosphatase (ALP) activity and intracellular Reactive Oxygen Species (ROS) levels were also analyzed.

The results showed that NaSe significantly enhanced cell viability in a dose-dependent manner at low doses (0.01-1μM), with the most effective dose being 1μM (p<0.05). LDH activity remained similar to the control within the 0.01-1μM range but increased significantly at higher concentrations (5-50 μM) in both 24- and 48-hour experiments (p<0.05). NaSe reduced intracellular ROS levels significantly between 0.01-1 μM, with 1 μM being the most effective concentration (p<0.05). The highest ALP activity was observed at 0.1 μM NaSe (p < 0.05), and calcium deposition increased in a concentration-dependent manner (p<0.05). The most effective dose for enhancing mineralization was 0.1 μM (p<0.05).

This study demonstrates that NaSe has antioxidant and osteogenic effects at low doses in hFOB cells. These positive effects suggest that NaSe could be a promising candidate for in-vitro, in-vivo, and clinical trials, providing hope for new treatments for bone diseases.

Gastroesophageal reflux disease (GERD) is a prevalent digestive disorder, yet the causal roles of modifiable risk factors remain unclear. This study aims to investigate the causal relationships between 28 modifiable risk factors (including obesity traits, mental health disorders, sleep traits, metabolic comorbidities, and serum parameters) and GERD using two-sample Mendelian randomization (MR). Gastroesophageal reflux disease (GERD). Our findings aim to inform targeted prevention and treatment strategies for GERD.

This study obtained data from extensive genome-wide association studies (GWAS). Pooled data associated with gastroesophageal reflux associations were obtained from the 23andMe Research team’s research, which included a total of 129,080 cases of gastroesophageal reflux and 473,524 controls of European ancestry. We conducted a univariable Mendelian randomization (MR) analysis to ascertain whether genetic evidence of exposure demonstrated a statistically significant association with the risk of GERD. Subsequently, a multivariable MR analysis was carried out to estimate the independent effects of the exposures on GERD.

Univariable MR analysis utilizing extensive GWAS data suggested that genetic factors such as BMI, Waist circumference, Arm fat mass (left and right), Leg fat mass (left and right), Attention Deficit and Hyperactivity Disorder (ADHD), Major Depressive Disorder (MDD), Schizophrenia, Negative emotions (including nervousness, anxiety, tension, or depression), Insomnia, Sleep apnea syndrome, Sleep duration, and Snoring, as well as Total cholesterol levels and Apolipoprotein B levels, are associated with the development of GERD. Multivariate Mendelian randomization of BMI and Negative emotion as correction factors showed that Waist circumference, Arm fat mass (left and right), Leg fat mass (left and right), ADHD, Insomnia, Sleep apnea syndrome, and Snoring were associated with an increased risk of GERD (p< 0.05). Conversely, longer sleep duration was associated with a reduced risk of GERD (p< 0.05).

This MR study reveals novel causal mechanisms in GERD pathogenesis: (1) Peripheral adiposity (arm/leg fat mass) exerts independent effects beyond central obesity, indicating site-specific fat distribution significance; (2) ADHD emerges as a distinct psychiatric risk factor independent of mental disorders; (3) Sleep apnea operates through BMI-independent pathways. Collectively, these findings redefine GERD pathophysiology, highlighting fat depot specificity and brain-gut interactions as critical mechanistic drivers.

Overall, our findings suggest that multiple risk factors are associated with the risk of GERD. These results provide a theoretical basis for controlling body weight and plasticity, improving sleep habits, and preventing and timely seeking medical attention to reduce the occurrence of psychiatric disorders, which will be important strategies to prevent and alleviate GERD.

This study aimed to develop, characterize, optimize, and evaluate the in vitro ex vivo drug release and stability of miconazole nitrate (MN)-loaded nanocrystal for topical drug delivery. MN is an antifungal agent with poor oral bioavailability and significant first-pass metabolism, necessitating alternative administration routes. Nanoformulations with lipidic/polymeric nanoparticles can overcome conventional system formulation limitations. However, it resulted in controlled MN drug release for up to 48 h and greater skin flux than did a 1% MN solution. This study aimed to identify optimized, stable, and effective in vitro/ex vivo MN-loaded nanocrystal-based hydrogels for topical drug delivery.

The nanocrystals (PN1-PN12) were developed via the precipitation method using Pluronic F-127 as a nonionic copolymer surfactant and stabilizer. The compatibility was evaluated via differential scanning calorimetry (DSC), powder X-ray diffraction (PXRD), and Fourier transform infrared spectroscopy (FT-IR). With the help of the zetasizer, particle size, PDI, and Zeta Potential are determined. The drug in-vitro release was determined using the dialysis bag method. Carbopol 934-P and methylparaben were dissolved in distilled water with heat and constant stirring to prevent agglomeration. Permeation experiments used excised abdominal skin from Wistar rats euthanized by cervical dislocation.

The highest solubility was found in PF-127, followed by Pluronic F68. Nanocrystals were prepared via the antisolvent precipitation method. The new diffraction pattern of the nanocrystals confirms their crystalline nature and complexation with the polymer, supporting the DSC and FT-IR findings. The developed nanocrystal shows a subtle shift from 1587 to 1589 cm^-1, with no significant changes in the vibrational frequencies of the physical mixture. The PN5 formulation, with a small PS of 303.4 nm, a low PDI of 0.248, the highest drug content of 99.23 ± 5.23%, and a % cumulative drug release of 92.32 ± 3.27, was selected for further characterization. The PN5 formulations were stored under various conditions for 3 months, resulting in consistent particle sizes. SEM images revealed long, crystalline MN structures and needle-like nanocrystals. PN5 was optimized for developing a topical nanocrystal gel (PG1), which provided sustained drug release and retained significantly more drug than the other formulations did. PG1 remained stable during the 3-month storage.

The PN5 formulation, optimized for developing a topical nanocrystal gel, resulted in consistent particle size, sustained drug release, and stability over 3 months.

Ovarian reserve reflects the functional capacity of a woman’s ovaries, encompassing factors such as follicle quantity, egg quality, and fertilization potential. Assessment of ovarian reserve is essential in reproductive medicine, particularly for fertility evaluation and assisted reproductive technologies (ART). While traditional biochemical markers such as anti-Müllerian hormone (AMH) and follicle-stimulating hormone (FSH) are commonly used, instrumental diagnostic methods like ultrasound and magnetic resonance imaging (MRI) provide valuable morphological and functional insights. This systematic review without a comprehensive meta-analysis evaluates the role of ultrasound and MRI in assessing ovarian reserve and their potential applications in clinical and research settings.

A comprehensive literature search was conducted across multiple databases to identify relevant studies evaluating ovarian reserve using ultrasound and MRI. Studies were screened based on predefined inclusion criteria, focusing on imaging parameters such as ovarian volume, follicular count, stromal characteristics, and vascularization. The effectiveness of these imaging techniques was analyzed in comparison to established biochemical markers. Due to heterogeneity in the included studies, a systematic review was performed without a formal meta-analysis.

Ultrasound, particularly transvaginal ultrasound (TVUS), remains the gold standard for ovarian reserve assessment, allowing real-time visualization of antral follicle count (AFC), ovarian volume, and follicular morphology. Doppler ultrasound provides additional insights into ovarian blood flow, which correlates with follicular development and ovarian function. MRI offers high-resolution, three-dimensional imaging, enabling detailed assessment of ovarian structure, follicular density, and stromal composition. While MRI provides superior soft-tissue contrast, its role in routine ovarian reserve assessment is limited due to cost and accessibility. The findings indicate that although both modalities are valuable for ovarian reserve evaluation, there is no consensus on standardized imaging parameters for defining ovarian functional viability. The available literature also presents inconsistencies in the correlation between imaging findings and ovarian function.

Ultrasound and MRI are essential tools for assessing ovarian reserve, providing complementary morphological and functional data. However, the lack of standardized imaging parameters limits their ability to definitively determine ovarian functional viability. Further research is needed to establish validated diagnostic criteria and integrate imaging techniques with biochemical markers to enhance the accuracy of ovarian reserve assessment in clinical practice and reproductive research.

Cuproptosis, a newly discovered form of programmed cell death, has potential implications for tumorigenesis and cancer progression. This study investigates the role of cuproptosis in Acute Myeloid Leukemia (AML) and identifies associated biomarkers using bulk and single-cell RNA sequencing. Despite recent advances, the mechanisms of cuproptosis in AML remain unclear, and its relationship with immune cell infiltration could reveal novel therapeutic targets.

RNA-seq data from 151 AML patients and 70 healthy controls were obtained from TCGA and GTEx databases, and single-cell RNA-seq data from 16 AML patients (GEO) were used for validation. Differential expression of Cuproptosis-Related Genes (CRGs) was analyzed via RCircos and correlation analysis. Immune cell infiltration was assessed using CIBERSORT and ssGSEA. WGCNA identified key genes for AML and cuproptosis subtypes, which were validated with single-cell data. Intercellular communication was analyzed through ligand-receptor interactions. RNA interference experiments validated TLR4 and NCF2, with gene expression measured through RT-qPCR. Apoptosis and CCK-8 assays assessed cell viability.

We identified 19 CRGs with differential expression between AML subtypes linked to immune cell infiltration. Subtype analysis classified AML patients into C1 and C2 subgroups enriched in biosynthesis and metabolism pathways. WGCNA identified 2701 genes associated with AML and 92 with cuproptosis, leading to 15 intersecting genes. RETN was highlighted as key in intercellular communication. Experimental validation showed that elesclomol-induced cell death in THP-1 cells is reversible by TTM. Knockout of TLR4 and NCF2 promoted cuproptosis.

These findings offer new insights into the role of cuproptosis in AML, highlighting novel biomarkers, such as TLR4 and NCF2, which may provide promising targets for the development of future therapeutic strategies in AML treatment.

Regulatory T cells (Tregs) play an important role in the tumor microenvironment (TME). Currently, there have been no studies of Treg-related genes (TRGs) in lung adenocarcinoma (LUAD).

We integrated the Cancer Genome Atlas (TCGA) dataset with the Gene Expression Omnibus (GEO) dataset and divided the TCGA-GEO dataset patient samples into different cohorts by unsupervised clustering analysis based on the expression of TRGs in LUAD. By analyzing the TME characteristics of different cohorts, we assessed immune cell infiltration and function. In addition, we constructed Cox risk proportional regression models based on TRGs to predict patient prognosis.

The results of unsupervised cluster analysis classified the TCGA-GEO dataset as “immune desert”, “immune evasion” and “immune inflammation”. Moreover, there was a significant survival differential among the three cohorts (p-value < 0.05). Based on the expression of 61 TRGs in LUAD, we screened TFRC, CTLA4, IL1R2, NPTN NPTN and METTL7A to construct a Cox risk proportional regression model to divide the TCGA-GEO dataset into a training cohort and a test cohort. Survival was significantly worse in the high-risk group than in the low-risk group in both the training and test cohorts (p-value < 0.05). Finally, the nomogram scoring system constructed by integrating the model risk scores with clinical parameters can well predict the 1, 3 and 5 year survival of patients.

In conclusion, based on our analysis of the TRGs of LUAD patients, we can classify the patient TME into different immune statuses, which provides insights into adopting appropriate treatment regimens for different patients.

In 2022, the World Health Organisation (WHO) announced new cases of the developing Monkeypox Virus (MPXV), a zoonotic orthopoxvirus viral infection that mimics smallpox signs. Despite the ongoing infection, no proper medication is available to completely overcome this infection.

The study aims to construct a multi-epitope vaccine targeting Monkeypox Virus (MPXV) membrane glycoprotein to provoke robust immune responses.

To construct a potential immuno-dominant epitope vaccine to combat MPXV.

The target sequence, sourced from the UAE-to-India travel case, was analyzed to identify potential B-cell and T-cell epitopes (MHC-I and MHC-II). Immunodominant epitopes were selected and fused with β-defensin-I and PADRE to increase immunogenicity. The vaccine was modeled, docked with TLR3, and subjected to a 500 ns molecular dynamics simulation for stability analysis. Immune responses and bacterial expression were also evaluated.

The vaccine, comprising 230 amino acids, demonstrated antigenicity (0.6620), non-allergenicity, and broad population coverage. Selected epitopes included 3 B-cells, 4 MHC-I, and 2 MHC-II, ensuring a potent immunodominant profile. Docking with TLR3 revealed a binding affinity of -17.2 kcal/mol, while simulations confirmed their stability. Cloning (pET28a (+)) and immune response analyses showed a strong immunogenic profile, including elevated IgG1, IgM, and antigen levels, supported by a Codon Adaptation Index (CAI) of 1.0.

The proposed multi-epitope vaccine shows promise against MPXV. However, further in vivo and in vitro investigations are essential to confirm its immune efficacy.

Endoplasmic reticulum stress (ER stress) plays a crucial role in influencing the malignant behaviors of various tumors. Targeting the expression or degradation of transcription factors (TFs) offers a promising avenue for cancer treatment. However, a detailed understanding of how ER stress affects TF function and their interactions remains limited. This study aims to develop a prognostic model and identify TFs associated with ER stress in pancreatic ductal adenocarcinoma (PDAC).

We obtained gene expression profiles and corresponding clinical data from The Cancer Genome Atlas (TCGA). To develop a prognostic signature, we performed several analyses, including unsupervised clustering, enrichment analysis, immune infiltration assessment, as well as univariate, LASSO, and multivariate Cox regression analyses. Four transcription factors—STAT1, IRF6, NRF1, and RXRA—were incorporated into a risk model, which was subsequently validated using the GSE dataset. Additionally, we examined IRF6 through quantitative PCR, western blotting, flow cytometry, and immunohistochemistry in vitro using pancreatic cancer cell lines and a tissue microarray.

The high-risk group identified by the model exhibited significant associations with immune cell infiltration and poorer survival outcomes, though there was no significant correlation with tumor purity (p = 0.19). Furthermore, IRF6 downregulation in vitro was found to inhibit pancreatic cancer cell proliferation and promote apoptosis. IRF6 depletion also increased the expression of key molecules involved in ER stress at both the transcriptional and translational levels. Immunohistochemical analysis revealed marked differences in IRF6 expression between tumor and adjacent non-tumor tissues (59.29±29.88 vs. 95.22±40.80, p<0.001).

This study provides evidence that the constructed risk model can effectively predict prognosis in PDAC patients. Transcription factors related to ER stress, such as IRF6, show promise as both prognostic biomarkers and potential therapeutic targets for PDAC.