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.

Lung Squamous cell carcinoma (LSCC) represents the second most common non-small cell lung cancer. Although studies identified adenocarcinoma-like driver mutations in LSCC using next-generation sequencing (NGS), the disease is challenging to treat due to the limited number of detectable mutations for targeted drug therapy. This study aimed to evaluate the mutation profiles of LSCC detected by NGS to assess the relationships between different driver mutations and clinicopathological parameters.

NGS with a panel of 72 cancer-related genes was used to evaluate the driver mutation profiles of 41 lung resection specimens from patients with LSCC at the Molecular Pathology Laboratory of Aydın Adnan Menderes University in Türkiye. Clinical and histopathological features were recorded for analysis.

Detection of 94 mutations in 23 genes in DNA extracted from the tissue samples of 36 patients revealed that the most prevalent mutations were TP53 (30.85%), NF1 (20.20%), PTEN (11.70%), PIK3CA (5.31%), FBXW7 (4.25%), KRAS (3.20%), respectively. We identified statistically significant relationships between PIK3CA and lower mean age (p = 0.007) and between PTEN and mild inflammatory reaction (p = 0.004). PTEN was associated with central localization (p = 0.13), NF1 with visceral pleural involvement (p = 0.09), and PIK3CA with severe inflammatory reaction (p = 0.053), as well as with advanced pathological T stage (p = 0.09) and pathological N stage (p = 0.057) according to the TNM staging system.

Our study highlights the importance of assessing mutation profiles in LSCC patients to identify driver mutations as potential therapeutic targets. Certain histopathological features are associated with these mutations, serving as indicators for treatment and follow-up decisions.

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.

We reported a case of recurrent liver dysfunction in an adult patient with a history of abnormal liver enzymes persisting for over ten years. The primary abnormalities included elevated levels of gamma-glutamyl transferase and alkaline phosphatase. Despite conducting a series of extensive etiological tests to identify common causes of liver disease, the diagnosis remained unclear. However, whole-exome next-generation sequencing revealed a homozygous intronic mutation in the ferrochelatase gene (c.315-48T>C), which may be associated with the patient’s cholestasis.

Traditional Chinese medicine (TCM) is widely used in cancer care in China as an integral part of treatment. This study aimed to understand the motivations of cancer patients in China for adopting TCM in their treatment and to examine their communication with oncologists. Gaining insights into these factors can enhance culturally sensitive, patient-centered oncology care.

A consecutive sample of 287 outpatients with cancer was recruited. Sociodemographic and clinical data, TCM usage, primary reasons for adopting TCM, and communication about TCM with oncologists were collected. Descriptive statistics, binary logistic regression, and thematic analysis were used to analyze the data.

Patients’ primary reasons for choosing TCM fell into five main categories: (1) belief in the benefits of TCM itself, (2) recommendations from others (family, friends, or oncologists), (3) belief in the benefits of combining TCM with Western medicine (WM), (4) previous positive experiences with TCM, and (5) dissatisfaction with or intolerance to WM. Among the 103 patients who consulted external TCM providers, 65% disclosed this to their oncologists. A longer time since diagnosis was associated with a higher likelihood of disclosure, while employed patients were less likely to inform their oncologists. Oncologists’ responses varied, with 55% neither approving nor disapproving of external TCM prescriptions.

The primary reasons for TCM use were perceived benefits and recommendations from oncologists and family members. However, communication about TCM with oncologists remains inconsistent. Enhancing patient-provider communication through education and fostering the integration of TCM and WM can improve holistic cancer care.

Balamuthia mandrillaris is a free-living amoeba that can cause granulomatous amoebic encephalitis, a lethal neurological condition in humans. This pathogen infects not only immunocompromised hosts but, more commonly, immunocompetent individuals. Balamuthia mandrillaris mainly infects the skin and nervous system. When it affects the nervous system, it can manifest as Balamuthia mandrillaris encephalitis (BAE). This article presents a case of BAE in central China, diagnosed through next-generation sequencing and histopathology. The patient is a 64-year-old male who was admitted to the Department of Neurosurgery with a one-week history of headache. Magnetic resonance imaging scans revealed a mass in the right temporal-occipital region, and postoperative pathological examination confirmed that the lesion was BAE. We will detail the clinical course of this disease in this patient, aiming to enhance clinicians’ understanding of Balamuthia mandrillaris infections.

Recent advancements in cancer immunotherapy have highlighted glypican-3 (GPC3) as a prominent target for treating hepatocellular carcinoma (HCC). However, approximately 10% to 30% of HCC patients exhibit low or absent GPC3 expression on the surface of tumor cells, which limits the feasibility of GPC3-targeted therapies. Consequently, it is essential for patients to undergo pre-diagnostic assessments of GPC3 expression in tumor cells to evaluate their suitability for GPC3-directed therapy. Although various methods have been developed to specifically detect GPC3 as a biomarker for treatment and prognosis, the diagnostic approaches currently employed in clinical studies remain relatively limited. Here, we provide a comprehensive overview of the clinical development of GPC3-targeted therapeutics, clinical trials in GPC3-positive HCC, and current methods for detecting GPC3 expression, highlighting their advantages and limitations. Furthermore, we explore the potential of integrating targeted therapy with various GPC3 detection modalities tailored to different pathological stages. This integration not only provides insights into the selection of effective methods for detecting GPC3 expression but also has the potential to significantly improve the clinical outcomes of patients with liver cancer. By simultaneously assessing the advantages and disadvantages of these methods, this review aims to establish a theoretical foundation for the clinical selection of appropriate GPC3 detection strategies for targeted therapy.

Insulinoma is a neuroendocrine tumor originating in the pancreas that secretes excess amounts of insulin, leading to severe hypoglycemia. The clinical presentation of hypoglycemia is classically described by Whipple’s Triad. Due to the rarity of this diagnosis, it can often be mistaken for other etiologies with similar presentations. In this paper, we present the case of a woman in her 70s with metastatic insulinoma involving the liver, who was initially diagnosed with an insulin-like growth factor 2-secreting hepatocellular carcinoma. Biochemical and immunohistochemical analyses were instrumental in distinguishing between these two etiologies.

Rheumatoid arthritis (RA) is an inflammatory arthritis characterized by chronic joint inflammation, cartilage degradation, and bone erosion. ELK3 is a transcriptional repressor that can affect cell proliferation, migration, invasion, apoptosis, and other cellular processes. The study aimed to clarify the effect of ELK3 in the biological activity and ferroptosis phenotype of RA fibroblast-like synoviocytes (FLS), and to reveal its molecular mechanism in regulating ferroptosis in RA FLS.

We investigated the impact of ELK3 on the biological activity and ferroptosis phenotype of RA FLS using real-time quantitative polymerase chain reaction, immunohistochemistry, Transwell assay, CCK-8 assay, and ferroptosis-related indicator kit. The molecular mechanism of ELK3 in RA FLS was further explored using Western blot, chromatin immunoprecipitation polymerase chain reaction, and other experiments.

ELK3 was highly expressed in RA. Silencing ELK3 inhibited the invasion and proliferation of RA FLS (both p < 0.05). After silencing ELK3 in imidazole ketone erastin-induced RA FLS, intracellular reactive oxygen species, lipid peroxidation levels, ferrous ion content, 4-Hydroxynonenal levels, and Malondialdehyde concentrations all increased. Additionally, ELK3 affects ferroptosis in RA FLS by regulating kelch-like ECH-associated protein 1 (p < 0.05).

Silencing ELK3 leads to decreased invasion and proliferation of RA FLS, affecting their biological activity. ELK3 inhibits ferroptosis by suppressing its transcriptional activity through binding to the kelch-like ECH-associated protein 1 promoter. This suggests that ELK3 may be a potential target for RA therapy.

Metabolic dysfunction-associated steatotic liver disease (MASLD), is the most common form of chronic liver disease worldwide. This study aimed to explore the role of TM6SF2 in high-fat diet (HFD)-induced MASLD through the gut-liver axis.

The TM6SF2 gut-specific knockout (TM6SF2 GKO) mouse was constructed using CRISPR/Cas9 technology. TM6SF2 GKO and wild-type (CON) mice were fed either a HFD or a control diet for 16 weeks to induce MASLD. Blood, liver, and intestinal lipid content, as well as gut microbiota and serum metabolites, were then analyzed.

TM6SF2 GKO mice fed an HFD showed elevated liver and intestinal lipid deposition compared to CON mice. The gut microbiota of HFD-fed TM6SF2 GKO mice exhibited a decreased Firmicutes/Bacteroidetes ratio compared to HFD-fed CON mice. The HFD also reduced the diversity and abundance of the microbiota and altered its composition.Aspartate aminotransferase, alanineaminotransferase, and total cholesterol levels were higher in HFD-fed TM6SF2 GKO mice compared to CON mice, while triglyceride levels were lower. Serum metabolite analysis revealed that HFD-fed TM6SF2 GKO mice had an increase in the expression of 17 metabolites (e.g., LPC [18:0/0-0]) and a decrease in 22 metabolites (e.g., benzene sulfate). The differential metabolites of LPC (18:0/0-0) may serve as HFD-fed TM6SF2 serum biomarkers, leading to MASLD exacerbation in GKO mice.

TM6SF2 GKO aggravates liver lipid accumulation and liver injury in MASLD mice. TM6SF2 may play an important role in regulating intestinal flora and the progression of MASLD through the gut-liver axis.