Poor bioavailability and a short half-life limit the therapeutic efficacy of ibuprofen. This study developed floating nanoballoons to enhance ibuprofen’s bioavailability and sustain its anti-inflammatory effects through improved gastric retention.

Ibuprofen-loaded nanoballoons were synthesized using solvent evaporation with ethyl cellulose as the polymer matrix. The formulation was characterized for morphology, buoyancy, drug loading, and release kinetics. In vivo studies assessed the anti-inflammatory efficacy in acute and chronic inflammation models using male Sprague-Dawley rats.

The nanoballoons exhibited optimal characteristics, including 96% buoyancy and a drug loading efficiency of 96.54 ± 1.32%. Scanning Electron Microscopy revealed a spherical morphology with a porous structure. Drug release followed a biphasic pattern: an initial release of 35.23 ± 2.13% over 2 h, followed by sustained release reaching 97.54 ± 1.30% at 12 h. In acute inflammation studies, the nanoballoon formulation showed superior edema inhibition (68.12%) compared to pure ibuprofen (51.67%). Chronic inflammation studies demonstrated significant improvements in inflammatory markers: reduced TNF-α (19.12 ± 0.48 vs. 31.11 ± 1.23 pg/mL), hs-CRP (201.7 ± 11.02 vs. 232.12 ± 11.33 ng/mL), and IL-6 (100.01 ± 18.40 vs. 135 ± 11.22 pg/mL), with increased anti-inflammatory IL-10 (507.18 ± 10.11 vs. 276.11 ± 19.16 pg/mL).

The developed floating nanoballoon system significantly enhanced ibuprofen’s bioavailability and anti-inflammatory efficacy, presenting a promising gastro-retentive delivery platform for poorly water-soluble drugs.

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy characterized by distinct histological subtypes and a poor prognosis. Among these, the micropapillary pattern, typically observed focally, has been associated with worse outcomes in various cancers. This study aimed to evaluate the prognostic significance of the micropapillary pattern in PDAC, focusing on its percentage within the tumor and its impact on overall survival.

A retrospective analysis was conducted on 71 patients with surgically resected PDAC. Micropapillary patterns were categorized based on their percentage within the tumor (≥20%) and compared to non-micropapillary cases. Demographic, clinical, and histological data, including tumor nodule metastasis stage, tumor grade, peripancreatic fat tissue invasion, and resection margin status, were analyzed. Survival data were assessed using Kaplan-Meier and Cox proportional hazards models. A p-value < 0.05 was considered statistically significant.

The cohort included 28 female and 43 male patients, with a mean age of 63.25 years. Of the 71 cases, 23.9% (n = 17) exhibited a micropapillary pattern. The median overall survival for the micropapillary group was eight months, compared to 18 months for the non-micropapillary group (p = 0.017). Multivariate analysis revealed that the micropapillary group had an increased risk of mortality (hazard ratio = 1.892, p = 0.042), independent of tumor nodule metastasis stage.

Our findings indicate that the micropapillary pattern, even when present in as little as 20% of the tumor, serves as an independent prognostic factor for decreased survival in PDAC. Incorporating the percentage of the micropapillary pattern into pathology reports could provide valuable insights into the tumor’s biological behavior, potentially enhancing patient management strategies.

Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is essential for non-invasively investigating brain function. However, conventional fMRI methods are limited by low spatial and temporal resolution. This narrative review evaluates recent advancements in deep learning techniques for high-resolution BOLD-fMRI reconstruction, focusing on super-resolution, segmentation, and image registration. A comprehensive literature search was conducted across PubMed, IEEE, Scopus, and Web of Science databases for the period 2000–2023. Studies employing deep learning methods, including convolutional neural networks, transformer-based models, and generative adversarial networks for super-resolution, segmentation, and registration of BOLD-fMRI, were included. Deep learning approaches demonstrated significant improvements in spatial resolution, segmentation accuracy, and registration robustness. Convolutional neural network-based models, particularly generative adversarial networks, notably improved image reconstruction quality and detail preservation. Preliminary studies targeting specific brain regions such as the cerebellum and hippocampus showed promise; however, systematic evaluations across broader brain areas and large-scale clinical validations remain limited. While deep learning techniques have led to substantial advancements in high-resolution BOLD-fMRI reconstruction, future research should focus on standardized protocols, multi-center validation, and improving computational efficiency and model generalization to enhance clinical utility.

Prostate cancer (PCa) often manifests insidiously, with most patients being diagnosed at an advanced stage, leading to a poor prognosis. Early detection of PCa can significantly prolong overall survival by impeding the progression of metastasis. A commonly utilized screening method for detecting PCa is the prostate-specific antigen test. However, since the prostate-specific antigen lacks specificity and sensitivity for PCa identification, there is a paramount urgency to develop precise diagnostic biomarkers for early detection. Extracellular vesicles, known as exosomes, are released by cells into body fluids. Exosomes derived from cancer cells can carry genetic information about the tumor, including DNA, RNA, and proteins, which play crucial roles in tumor initiation, invasion, metastasis, and drug resistance. Studies have indicated that exosomes (including messenger RNAs, microRNAs, long noncoding RNAs and others) can enhance the sensitivity and specificity of PCa diagnosis, indicating their potential for early detection. This review highlights the biological characteristics and functions of exosomes, as well as recent advancements in their use for the diagnosis, prognosis, and treatment of prostate cancer.

In recent years, it has been found that Lycium barbarum can repair liver damage and promote liver regeneration. Additionally, the polysaccharides contained in Lycium barbarum have anticancer properties and can induce apoptosis in cancer cells. Molecular docking, a mature computer-aided method, is widely used in drug discovery. This study aimed to verify the efficacy of active ingredients of Lycium barbarum in the treatment of liver cancer by molecular docking.

The effect of the active ingredients of Lycium barbarum in the treatment of liver cancer was verified by molecular docking, based on a previous study that examined the impact of Lycium barbarum on liver cancer using network pharmacology.

The binding energies of the key active ingredients and core targets were all less than −5.0 kcal/mol (1 kcal = 4.184 J), with most of them being less than −7.0 kcal/mol. This indicates that the key active ingredients and core targets have good binding ability, with most demonstrating strong binding affinity.

Most of the active ingredients in wolfberry can spontaneously bind to the core target protein, thereby playing a therapeutic role in liver cancer.

Neglected tropical diseases (NTDs) encompass a range of infectious diseases prevalent in tropical and subtropical regions, often overlooked despite their substantial health impacts and high mortality rates. Current treatments for NTDs frequently cause severe side effects due to the pharmacokinetic properties of drugs, which can be harmful even at therapeutic doses. There is a pressing need for innovative diagnostic and therapeutic strategies to mitigate these side effects and improve diagnostic capabilities, as many NTDs lack adequate diagnostic tools. Nanotechnology presents a promising avenue to address these challenges. Nanomaterials possess unique characteristics that enable dual functionality in disease diagnosis and treatment. When conjugated with drugs, nanomaterials can enhance the efficacy of treatments for parasitic diseases while reducing the toxicity associated with conventional medications. Nanomaterial-drug conjugates also serve as efficient carriers, improving drug delivery systems for existing NTD treatments and minimizing adverse effects. This study explores recent advancements in conjugating nanomaterials with drugs for the treatment and diagnosis of NTDs. A comprehensive review of primary database sources reveals significant gaps in current research, underscoring the vast potential for developing novel therapeutic and diagnostic tools. These innovations could revolutionize the management of NTDs, ushering in more effective and safer treatment modalities in the future.

Patients with cirrhosis are at an increased risk of bacterial infection (BI), which is the most common precondition for acute-on-chronic liver failure (ACLF). In this study, we aimed to evaluate the ability of mitochondria-related indicators (mitochondrial mass and mitochondrial membrane potential (MMP)) of T cells in peripheral blood to predict BI and ACLF within 90 days in cirrhotic patients.

We prospectively studied mitochondria-related indicators in various T cells from 235 cirrhotic patients at the Second Hospital of Nanjing. The outcomes of interest were BI and ACLF.

The restricted cubic spline analysis showed that the MMP of CD8+ T cells had a linear relationship with the risk of BI and ACLF (both P < 0.001). Multivariable Cox regression analysis demonstrated that the MMP of CD8+ T cells was an independent risk factor for both BI and ACLF (BI: hazard ratio 0.96, 95% confidence interval 0.94–0.98; P < 0.001; ACLF: hazard ratio 0.94, 95% confidence interval 0.90–0.97; P < 0.001). The MMP of CD8+ T cells exhibited better diagnostic efficacy than traditional indices in predicting BI (C index: 0.75). The MMP of CD8+ T cells, when combined with traditional models (Child-Turcotte-Pugh and model for end-stage liver disease score), improved their diagnostic efficiency in predicting both BI and ACLF. Additionally, the MMP of CD8+ T cells showed a significant negative correlation with inflammation-related markers (P < 0.05). Mitochondrial damage and abnormally activated mitochondrial autophagy were observed in CD8+ T cells from cirrhotic patients with low MMP.

The MMP of CD8+ T cells could serve as a valuable predictor of BI and ACLF within 90 days in cirrhotic patients.

The diagnosis of hepatic precancerous lesions (HPC) and early hepatocellular carcinoma (HCC) has significant public health implications and holds the potential to reduce the global burden of HCC. This study aimed to identify molecular features and biomarkers associated with HPC progression and early HCC development.

RNA sequencing was used to identify differentially expressed genes in mouse HPC tissues and normal liver tissues. Cyclin E1 (CCNE1) expression in HPC tissues and HCC cells was assessed using immunohistochemistry, Western blotting, and real-time polymerase chain reaction. The effects of CCNE1 on HCC cell proliferation, migration, invasion, and apoptosis were evaluated using colony formation, wound healing, Transwell assays, and flow cytometry. The mechanism of CCNE1 was explored through Kyoto Encyclopedia of Genes and Genomes pathway analysis and gene set enrichment analysis and further validated through in vitro experiments. The interaction between CCNE1 and tumor-associated macrophages (TAMs) was investigated by co-culturing HCC cells with macrophages.

RNA sequencing and TCGA database analysis showed that CCNE1 expression was significantly elevated in mouse HPC tissues and human HCC samples and was associated with reduced survival rates. In vitro assays demonstrated that CCNE1 promoted HCC cell proliferation, migration, invasion, and survival by activating the PI3K/Akt signaling pathway. Additionally, CCNE1 induced TAM polarization toward the M2 phenotype by promoting the expression of CCL2 and CCL5 in HCC cells.

CCNE1 promotes HPC progression and HCC cell proliferation, migration, invasion, and survival by activating the PI3K/Akt signaling pathway. Furthermore, CCNE1 enhances the secretion of CCL2 and CCL5 by HCC cells, promoting TAM infiltration and M2 polarization, thereby contributing to tumor progression.

Acupuncture treatment on the DU channel has shown therapeutic effects for Alzheimer’s disease (AD), but the underlying mechanisms are not yet clear. The purpose of this study was to comprehensively observe the protective effects of acupuncture on different brain regions in AD model mice, providing laboratory evidence for clinical acupuncture intervention in AD.

Eleven senescence-resistant strain 1 male mice were used as the normal control group. The senescence-accelerated prone strain 8 (SAMP8) male mice were used as AD model mice. Thirty-three SAMP8 mice were randomly divided into three groups: AD model group (group M), drug treatment group, and acupuncture treatment group (group A). The effect of acupuncture on learning and memory capabilities of SAMP8 mice was assessed by the Morris water maze test. Nissl staining was employed to provide a general view of the brain structure in AD model mice. Additionally, Western blot analysis was used to quantify Caspase-3 and tau protein levels.

In the spatial navigation test, the ratio of time mice spent in the goal quadrant in group M remained low, even lower than 25%. The ratio of time spent in the goal quadrant by mice in the acupuncture group on day 4 was higher than that on day 1 (P < 0.01). There was a trend indicating that the time ratio of mice in the acupuncture group during the probe trial was higher than in group M, though there was no statistically significant difference. Most traces of mice in group A were in the goal platform quadrant and across the platform in different, yet effective, ways. Compared to group M, most of the cells in the frontal cortex, hippocampus, and temporal cortex of mice in group A were round with clear stratification, regular arrangement, and increased Nissl bodies. The content of Caspase-3 in the frontal cortex and hippocampus of mice in the acupuncture group was lower than in group M (P < 0.01, P < 0.05). The content of tau in the hippocampus and temporal cortex of mice in group A was lower than in group M (P < 0.05; P < 0.01).

Acupuncture at the DU channel can improve learning and memory abilities to a certain degree by reducing apoptosis in the frontal cortex and hippocampus and decreasing tau deposition in the hippocampus and temporal cortex of AD model mice.