Breast cancer is one of the leading causes of mortality among women worldwide. Tumor necrosis factor α-induced protein 3-interacting protein 1 (TNIP1) is a ubiquitin-binding protein that is widely expressed, but its function in breast cancer cells remains unknown. This study aimed to elucidate the molecular mechanism of TNIP1 regulation in the proliferation and apoptosis of breast cancer cells.

A colony formation assay was conducted on MCF-7 and T47D cells stably transfected with TNIP1/cyclin G1 (CCNG1) short hairpin RNAs. Quantitative polymerase chain reaction was performed to assess the relative abundances of TNIP1, CCNG1, and cyclin D1 (CCND1) messenger RNAs. Immunoprecipitation and immunoblotting were used to detect the expression of TNIP1, CCNG1, CCND1, and related proteins. A dual-luciferase reporter assay was employed to explore the molecular mechanism of TNIP1 in signal transduction. Caspase activity in MCF-7 and T47D cells transfected with TNIP1 short hairpin RNAs was measured using the Caspase-Glo 3/7 assay.

Ablation of TNIP1 induced growth arrest in breast cancer cells. TNIP1 directly interacted with CCNG1, and TNIP1 knockdown increased the ubiquitination of CCNG1. CCNG1 knockdown also induced growth arrest in MCF-7 and T47D cells. Furthermore, TNIP1 knockdown activated the NF-κB pathway and induced apoptosis in these cells.

TNIP1 regulates the proliferation and apoptosis of breast cancer cells, suggesting that TNIP1 may serve as a potential biomarker for breast cancer.

Given the high burden of hepatocellular carcinoma (HCC), risk stratification in patients with cirrhosis is critical but remains inadequate. In this study, we aimed to develop and validate an HCC prediction model by integrating radiomics and deep learning features from liver and spleen computed tomography (CT) images into the established age-male-ALBI-platelet (aMAP) clinical model.

Patients were enrolled between 2018 and 2023 from a Chinese multicenter, prospective, observational cirrhosis cohort, all of whom underwent 3-phase contrast-enhanced abdominal CT scans at enrollment. The aMAP clinical score was calculated, and radiomic (PyRadiomics) and deep learning (ResNet-18) features were extracted from liver and spleen regions of interest. Feature selection was performed using the least absolute shrinkage and selection operator.

Among 2,411 patients (median follow-up: 42.7 months [IQR: 32.9–54.1]), 118 developed HCC (three-year cumulative incidence: 3.59%). Chronic hepatitis B virus infection was the main etiology, accounting for 91.5% of cases. The aMAP-CT model, which incorporates CT signatures, significantly outperformed existing models (area under the receiver-operating characteristic curve: 0.809–0.869 in three cohorts). It stratified patients into high-risk (three-year HCC incidence: 26.3%) and low-risk (1.7%) groups. Stepwise application (aMAP → aMAP-CT) further refined stratification (three-year incidences: 1.8% [93.0% of the cohort] vs. 27.2% [7.0%]).

The aMAP-CT model improves HCC risk prediction by integrating CT-based liver and spleen signatures, enabling precise identification of high-risk cirrhosis patients. This approach personalizes surveillance strategies, potentially facilitating earlier detection and improved outcomes.

Autoimmune hepatitis (AIH) is an inflammatory liver disease influenced by genetic, environmental, and immunologic factors. Individuals diagnosed with AIH may exhibit concurrent autoimmune manifestations affecting multiple organ systems. The prevalence of AIH associated with other autoimmune diseases has been reported to range from 20% to 40%. This review indicates that the associations between AIH and autoimmune thyroiditis, type 1 diabetes mellitus, ulcerative colitis, Crohn disease, and celiac disease appear to be significant. However, the associations between AIH and primary sclerosing cholangitis, primary biliary cholangitis, rheumatoid arthritis, systemic lupus erythematosus, Sjögren syndrome, and vitiligo are not well-supported. The aim of this review is to evaluate the strength of the reported associations between AIH and other autoimmune diseases, and to update and present the available evidence on their prevalence, proposed underlying pathogenic mechanisms, diagnostic considerations, and treatment approaches.

Prognostic scores are valuable tools for predicting survival in patients with chronic liver disease. Recently, the albumin-bilirubin (ALBI) score has emerged as a potential prognostic indicator in liver-related conditions. This study aimed to compare the prognostic efficacy of the ALBI score with the Model for End-stage Liver Disease (MELD), MELD-Na+, and Child-Turcotte-Pugh (CTP) scores in predicting survival among patients with alcohol-associated liver disease (ALD).

This study included consecutive ALD patients admitted to the Medicine and Gastroenterology wards of MKCG Medical College and Hospital, Berhampur, Odisha, India, between November 2019 and November 2022. Upon hospitalization, baseline characteristics, clinical and laboratory parameters, ALBI, MELD, MELD-Na+, and CTP scores were recorded. The accuracy of these scores in predicting survival up to three years was compared.

A total of 490 ALD patients were included. Higher ALBI scores were observed in patients who died during hospitalization (p < 0.001), at 28 days (p < 0.001), 90 days (p < 0.001), six months (p < 0.001), one year (p < 0.001), two years (p < 0.001), and three years (p < 0.001), compared to those who survived. However, the area under the receiver operating characteristic (AUROC) curves showed that the ALBI score was inferior to MELD, MELD-Na+, and CTP scores in predicting survival at admission [AUROC: ALBI (0.719), MELD-Na+ (0.823), MELD (0.817), CTP (0.770)] and at three years [AUROC: ALBI (0.755), MELD-Na+ (0.787), MELD (0.758), CTP (0.784)]. Furthermore, Cox regression analysis revealed that components used in the MELD, MELD-Na+, and CTP scores—such as serum creatinine, serum sodium, and hepatic encephalopathy—were independent predictors of mortality, whereas the components of the ALBI score (serum albumin and serum bilirubin) were not.

All hospitalized ALD patients had a grade 3 ALBI score, with significantly higher scores observed among non-survivors compared to survivors. However, MELD, MELD-Na+, and CTP scores were superior to the ALBI score in predicting survival both during hospitalization and over a three-year follow-up period.

Hepatocellular carcinoma (HCC) represents the most prevalent malignancy in Egypt and globally. However, non-invasive diagnostic/prognostic biomarkers for early detection of HCC are still lacking. Circular RNAs (circRNAs) are one of the promising biomarkers. They are considered stable, long-stranded non-coding RNAs in a sealed circular form held together by covalent bonds. circRNAs have been observed in several genetic studies to play a vital role in the initiation and progression of malignancy. Our current cross-sectional study aimed to evaluate the potential role of serum-derived hsa_circ_101555 as a diagnostic biomarker for HCC, in addition to comparing its prognostic significance and predicting the response to therapy.

The serum expression level of hsa_circ_101555 was measured using real-time polymerase chain reaction in 62 clinically/radiologically diagnosed Egyptian HCC patients at baseline and three months after HCC treatment. These results were compared to those of 30 healthy subjects.

Our data showed that the mean circRNA value was highest in HCC cases (7.66 ± 3.74) compared to healthy controls (1.21 ± 0.96). Furthermore, the circRNA value showed excellent diagnostic accuracy in differentiating HCC patients from healthy controls at a cutoff point of 1.966, as indicated by an area under the curve of 0.984. In addition, it showed a prognostic role in differentiating between HCC progression and regression in these patients based on response evaluation criteria in solid tumors (RECIST)/ modified- RECIST (mRECIST) response categories at the cutoff point 5.1150, with an area under the curve of 0.891 and a standard error of 0.058. Interestingly, positive correlations between post-intervention circRNA levels and laboratory measurements were observed in our HCC patients, including the albumin-bilirubin score (r = 0.424, P = 0.001**), the neutrophil-to-lymphocyte ratio (r = 0.410, P = 0.001**), alpha-fetoprotein (r = 0.273, P = 0.032*), the aspartate aminotransferase/alanine aminotransferase ratio (r = 0.284, P = 0.025*), fibrosis-4 (r = 0.501, P = 0.000**), and the aspartate aminotransferase to platelet ratio score (r = 0.436, P = 0.000**), indicating an association with worsening liver inflammation, fibrosis, and disease progression. Lastly, post-intervention circRNA values were significantly correlated with clinical/pathological tumor key features, including larger tumors (>5 cm) (P = 0.019), multiplicity (tumor numbers > 3) (P = 0.031), vascular invasion (P = 0.030), Barcelona Clinic Liver Cancer stage C (P = 0.007), and advanced Tomur, Node, Metastasis stage (P = 0.012).

To our knowledge, this is the first study to highlight the expression levels of serum-derived hsa_circ_101555 in Egyptian HCC patients. Our data showed its upregulation in HCC cases compared to healthy subjects. Additionally, its increased levels were associated with tumor progression according to the RECIST/mRECIST categories. Furthermore, its significant correlation with markers/scores of liver inflammation, dysfunction, and tumor pathological features underscores its potential as a promising diagnostic/prognostic biomarker, aiding in better clinical decision-making for the management of hepatocellular carcinoma.

Exophiala, a genus of saprotrophic black fungi commonly found in the environment, is typically associated with cutaneous infections in immunocompromised hosts and rarely manifests as pneumonia. Here, we report the first case of Exophiala pneumonia in Pakistan, occurring in an immunocompetent, middle-aged female with interstitial lung disease.

A 56-year-old female presented with a two-week history of malaise and a cough productive of black sputum. On auscultation, fine crackles were heard in the bilateral posterior middle and lower lung fields. Chest radiography showed features of usual interstitial pneumonia with patchy and dense reticular opacities in the middle and lower lung lobes bilaterally. Bronchoscopy was performed, and bronchoalveolar lavage was sent to the microbiology laboratory for culture. Gram stain findings revealed numerous pus cells, primarily neutrophils, along with septate hyphae, which were also confirmed on potassium hydroxide smear. The results were communicated to the treating physician, and the patient was started on intravenous voriconazole. After four days of incubation at 25°C and 37°C, colonies of mold were observed on the culture, which were identified as Exophiala jeanselmei on Lactophenol Cotton Blue staining. After one week of treatment, the patient showed clinical improvement and was discharged on oral voriconazole with outpatient follow-up.

Our findings suggest that bronchoalveolar lavage with an elevated neutrophil count and abnormal pulmonary imaging should be evaluated as signs of both fungal and bacterial pneumonia. Additionally, fungal culture should be considered in such cases, as it employs specific techniques and prolonged incubation for the isolation of fungi. Since Exophiala jeanselmei is a rare yet severe cause of pneumonia, early detection and the knowledge gained from treated infections are crucial for effective management.

Spinal cord injury (SCI) significantly impacts the central nervous system, with limited effective treatments available. Brain-derived neurotrophic factor (BDNF) plays a crucial role in neuronal growth, survival, and regeneration after SCI. MicroRNAs, particularly miR-124-3p, have been implicated in SCI pathophysiology. However, the relationship between miR-124-3p and BDNF in the context of SCI remains unclear. This study aimed to investigate the correlation between miR-124-3p expression and BDNF levels in a rat model of spinal cord injury and to assess how the timing of injury affects this relationship.

This study included 72 male Wistar rats divided into three groups: intact (n = 8), sham (n = 32), and SCI (n = 32). SCI diagnosis was confirmed through behavioral-motor function analysis using the Basso, Beattie & Brenham score and histological examination with crystal violet staining. The expression levels of miR-124-3p and BDNF were assessed using real-time polymerase chain reaction in all groups at four time points (one hour, one day, three days, and seven days post-injury).

In the SCI group, a marked reduction in miR-124-3p expression was observed relative to both the sham and intact groups. Conversely, there was a substantial elevation in BDNF expression within the SCI group in comparison to the sham and intact groups. The findings underscore a negative association between miR-124-3p expression and BDNF messenger RNA levels.

The downregulation of miR-124-3p and concurrent upregulation of BDNF suggest a potential regulatory role of miR-124-3p in modulating BDNF expression during SCI. These findings provide new insights into the molecular mechanisms underlying SCI and suggest that miR-124-3p and BDNF could serve as potential therapeutic targets. Further research is needed to explore the translational potential of these findings for developing novel diagnostic and therapeutic strategies for SCI.

Multimodal applications combining electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) are widely used in cognitive neuroscience and have progressively been applied to clinical applications, such as the joint diagnosis of amyotrophic lateral sclerosis, Alzheimer’s disease, and pediatric epilepsy. This study conducted a bibliometric analysis of EEG-fNIRS synchronization techniques over the past 20 years. The aim was to clarify their diagnostic and therapeutic value in clinical applications, particularly in the neurological system, and to guide future research and development trends.

This study utilized the Web of Science Core Collection database to analyze documents published between January 1, 2005, and May 13, 2024. CiteSpace and VOSviewer were employed for visual analyses of co-author relationships, keywords, citation patterns, and journal distributions. By overlaying dual-map diagrams and analyzing annual publication trends, the study identified research hotspots, development trends, and the evolution of EEG-fNIRS technology.

A total of 645 articles and reviews from 55 countries were analyzed. The USA contributed the most publications. The team led by Michela Balconi at the Catholic University of the Sacred Heart published the highest number of papers. Frontiers in Human Neuroscience had the greatest number of publications, while NeuroImage had the highest citation impact. Recent research has primarily focused on the application of neuroimaging and neurophysiological techniques (e.g., EEG, fNIRS, functional magnetic resonance imaging), brain activation, and brain-computer interface.

This study highlights the applications and developmental trends of dual-modality EEG-fNIRS technology. Specifically, this approach can assist in diagnosing neurological disorders, assessing activation and connectivity within functional brain regions, and evaluating therapeutic neuromodulation in clinical neurology. Overall, multimodal fusion is poised to advance neuroscience research significantly.

Despite significant advances in Parkinson’s disease (PD) treatment, it remains incurable, with limited therapeutic options. Currently, repurposing already tested, safe drugs has emerged as an effective therapeutic strategy against various neurodegenerative diseases, including PD. Using a drug-repurposing approach, the current study investigated the neuroregenerative potential of polysialic acid mimicking compounds, 5-nonyloxytryptamine oxalate (5-NOT) and Epirubicin (Epi), an anti-cancer drug, in 1-methyl-4-phenylpyridinium (MPP+)-treated human neuroblastoma SH-SY5Y cells as a PD model.

The excitotoxic model was established by exposing SH-SY5Y cells to 500 µM of MPP+ and subsequently treating them with the test compounds. The effect of MPP+-induced toxicity on cellular and nuclear morphology, as well as on the expression of neuroplasticity and cell survival proteins, were studied by immunostaining, gelatin zymogram, and Western blot assays.

Treatment with 5-NOT and Epi significantly promoted the survival of MPP+-challenged SH-SY5Y cells and prevented changes in their cellular and nuclear morphology by regulating the expression of microtubule-associated protein (MAP-2) and polysialylated-neural cell adhesion molecule (PSA-NCAM) and NCAM synaptic plasticity proteins. Further, 5-NOT and Epi treatment also protected SH-SY5Y cells by restoring levels of nitric oxide, matrix metalloproteinase, and stress response proteins. Interstingly, 5-NOT attenuated MPP+-induced toxicity in SH-SY5Y cells by regulating the intrinsic protein kinase AKT/BAD apoptotic pathway and the P-38 MAP kinase synaptic plasticity pathway.

These preliminary findings suggest that 5-NOT, as a potential polysialic acid glycomimetic, may serve as a promising drug candidate for targeting neurodegeneration of dopaminergic neurons, a hallmark feature of PD.