Mediastinal germ cell tumors (GCTs) are rare malignant neoplasms that occasionally develop somatic-type malignancies (SMs), such as sarcomas, carcinomas, and hematologic malignancies.

We report a unique case of a 16-year-old male patient with a mediastinal GCT that simultaneously developed two different SMs: well-differentiated angiosarcoma and acute megakaryoblastic leukemia (AML). The patient initially presented with left shoulder pain and intermittent shortness of breath. The imaging study demonstrated a 12.5 × 9.0 × 8.5 cm heterogeneous mass in the left anterior mediastinum. The mediastinal mass was resected and showed a cystic mature teratoma with somatic transformation into well-differentiated angiosarcoma and AML. A subsequent bone marrow biopsy confirmed the diagnosis of AML, and next-generation sequencing demonstrated the presence of PTEN and TP53 gene mutations in the AML. Despite aggressive chemotherapy and allogeneic stem cell transplantation, the patient died 10 months after diagnosis.

Our report demonstrates the unique capability of mediastinal GCTs to simultaneously develop two different SMs. The presence of two different SMs in mediastinal GCTs is associated with extremely aggressive behavior and a poor prognosis.

Synucleinopathies, including Parkinson’s disease (PD), dementia with Lewy bodies, and multiple system atrophy (MSA), are a group of neurodegenerative diseases characterized by the oligomerization of α-synuclein protein in neurons or glial cells. Various splicing isoforms of α-synuclein have been described, each with different aggregation properties. The α-synuclein gene (SNCA) has been identified as a highly significant genetic risk locus associated with various synucleinopathies across populations. This study aimed to assess the association of SNCA genetic variants with MSA and the levels of SNCA transcripts in peripheral blood mononuclear cells (PBMCs) from MSA and PD patients.

In this retrospective case–control study, 96 MSA patients, 1086 PD patients, and 485 healthy volunteers were included. PCR followed by restriction endonuclease analysis was used to detect four SNCA single-nucleotide polymorphisms (rs356219, rs3756063, rs11931074, and rs356168) in these individuals. In addition, RT-qPCR was performed to detect the levels of α-synuclein transcripts (SNCA mRNA isoforms -140, -126, and -112) in PBMCs of 24 MSA patients (including parkinsonian (MSA-P) and cerebellar (MSA-C) variants), 31 PD patients, and 32 healthy volunteers.

The frequency of the ‘T’ allele (of rs11931074) was significantly higher in MSA patients than in the healthy controls. The level of SNCA-140 mRNA was significantly decreased in MSA and PD patients compared with the controls, while the level of SNCA-112 mRNA was significantly increased in MSA-P patients than in PD patients and the controls. SNCA-112 mRNA/SNCA-140 mRNA and SNCA-112 mRNA/SNCA-126 mRNA ratios were significantly increased in MSA patients than in the controls.

The SNCA rs11931074 polymorphism is associated with MSA. There is a pronounced alteration in the expression of SNCA transcripts in PBMCs of MSA and PD patients.

Autoimmune hepatitis (AIH) frequently coexists with extrahepatic autoimmune diseases (EADs), but their prevalence, characteristics, progression, and treatment effect in the Han Chinese population remain unclear. This study aimed to evaluate the prevalence and spectrum of EADs and to assess their clinical features, disease course, and treatment outcomes in Han Chinese patients with AIH.

Medical records of 371 Han Chinese patients with AIH (diagnosed from March 2016 to October 2023) were retrospectively analyzed.

Among the 371 AIH patients, 304 (81.94%) were female, with a median age of 52.5 years (interquartile range, 46.0–61.0). A total of 23.98% (89/371) had at least one EAD, including 27.06% (82/303) in type 1 AIH, 11.11% (7/63) in antibody-negative AIH, and none in type 2. A single EAD was the most common (20.21%, 75/371). The most frequent EADs were Sjogren’s syndrome (8.63%) and autoimmune thyroid disease (8.36%). Compared with patients without EADs, those with EADs had lower alanine aminotransferase, red blood cell, and hemoglobin levels, but higher aspartate aminotransferase/alanine aminotransferase ratio and antinuclear antibody (ANA) positivity (all P < 0.05). ANA positivity was independently associated with EADs (odds ratio = 2.209, 95% confidence interval = 1.242–3.927, P = 0.007). After three months of treatment, the complete biochemical response rate was lower in the EADs group than in the non-EADs group (40.0% vs. 55.3%, P = 0.024), whereas no significant differences were observed at 6, 12, 24, or 36 months (all P > 0.05).

In the Han Chinese population, 23.98% of AIH patients had EADs, with Sjogren’s syndrome and autoimmune thyroid disease being the most common. ANA positivity was a significant risk factor for EADs. EAD patients had a poorer initial treatment response at three months, but comparable long-term biochemical response from six months.

Mild traumatic brain injury (mTBI) represents the majority of head injury presentations in emergency departments (EDs), yet only a minority of patients have acute intracranial lesions on computed tomography (CT). This leads to widespread use of unnecessary CT scans. Point-of-care (POC) biosensing, defined as analytical testing performed at or near the site of patient care, offers a promising solution to this dilemma by enabling rapid biomarker quantification to inform CT decision-making. This review aims to evaluate POC-compatible biosensing strategies for ultra-early mTBI triage, with emphasis on platforms, matrix effects, and benchmarking aligned with CT-based decision-making. Two key precedents support this approach: (1) the integration of S100B into Scandinavian Neurotrauma Committee guidelines, which has demonstrated the potential for safe reduction of CT scans, and (2) the regulatory clearance of glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase-L1 (UCH-L1) testing to rule out the need for head CT in adults with suspected mTBI (Glasgow Coma Scale 13–15) when serum is collected within 12 hours of injury. Accordingly, this review focuses on the most implementable use case for mTBI, namely CT triage/rule-out. It synthesizes the current biomarker landscape (S100B, GFAP, UCH-L1), analyzes POC-suitable sensing modalities, and proposes a practical validation and benchmarking framework aligned with this intended use. A critical component is interference testing and real-world sample robustness, including vulnerabilities such as hemolysis-related elevation of UCH-L1. In conclusion, the most reliable path for biosensor translation in mTBI is to anchor development and validation to the ED CT-triage use case, emphasizing decision-point robustness and resilience to real-world sample variability over pure analytical sensitivity.

Gliomas remain a major challenge in brain cancer treatment. Although genetic mutations have been widely studied, recent research indicates that epigenetic changes, which alter gene activity without changing the DNA sequence, also contribute significantly to tumor growth and treatment resistance. This review seeks to elucidate the principal drivers and modulators of brain tumor development, emphasizing the complex interaction between tumor metabolism and epigenetic regulation. It highlights how metabolic intermediates influence chromatin structure and transcriptional events driving glioma progression. Metabolic intermediates, such as acetyl-CoA and S-adenosylmethionine, serve as essential epigenetic cofactors, directly impacting chromatin structure and gene expression. Additionally, metabolic disorders like diabetes not only frequently coexist with gliomas but also exacerbate tumor progression through mechanisms such as inflammation, oxidative stress, and epigenetic reprogramming. Tumors located near brain regions controlling heart function may also increase the risk of sudden death, particularly in diabetic patients. The review proposes a comprehensive framework to understand glioma development by linking metabolism, epigenetics, and overall health. This integrated perspective leads to novel personalized treatment approaches, targeting both the tumor and the patient’s broader metabolic health, with the potential to improve survival rates and quality of life for glioma patients.

Human immunodeficiency virus (HIV)/hepatitis C virus (HCV) coinfection leads to severe systemic inflammation, increasing non-AIDS morbidity and mortality risk. CD39 ectoenzyme on T-cells, which catalyzes the conversion of pro-inflammatory purines to immunosuppressive adenosine, plays an important role in inflammation control. The role of CD39+ T-cells in systemic inflammation during HIV/HCV coinfection under antiretroviral therapy (ART) remains unexplored. This study aimed to identify specific patterns of CD39 expression on T-cells in ART-treated HIV/HCV coinfected patients and assess their relationship with systemic inflammation.

We conducted a case-control study that enrolled 41 HIV/HCV coinfected patients on stable ART (cases) and 23 healthy controls. CD39 expression on blood CD4+ and CD8+ T-cells, including CD45RA+ and CD45RA– subsets, was quantified using flow cytometry. Cytokines were assessed using multiplex and enzyme-linked immunosorbent assays.

A significant proportion of CD4+ T-cells expressed CD39 in both groups (cases – 24.0%; controls – 16.1%). That was not true for CD8+ T-cells (cases – 3.2%; controls – 2.8%). CD39 expression was higher on CD45RA+ than CD45RA– CD4+ T-cells (cases – 39.4% vs. 19.0%; controls – 24.6% vs. 9.2%). HIV/HCV coinfected patients exhibited a significantly increased proportion of CD39+ CD4+ T-cells compared to uninfected controls (P < 0.01). A negative correlation was observed between the percentage of CD39+ CD4+ CD45RA– T-cells and levels of pro-inflammatory chemokines monocyte chemoattractant protein 1 (R = –0.392; P < 0.01) and eotaxin (R = –0.325; P < 0.05).

The data suggest a compensatory expansion of cells with regulatory properties that is ultimately insufficient to control systemic immune activation.

As the leading cause of chronic liver disease globally, metabolic dysfunction-associated steatotic liver disease (MASLD) lacks effective therapies. This study aimed to investigate the therapeutic potential and molecular mechanisms of oxytocin (OXT) in MASLD.

Integrated bioinformatics analysis of MASLD datasets was carried out to identify OXT-related metabolic disturbances. Serum OXT levels were quantified using an enzyme-linked immunosorbent assay in 113 MASLD patients and 63 healthy controls. Mechanistic assays were conducted using oleic acid (OA)-induced, lipid-loaded HepG2 cells and high-fat diet-fed C57BL/6 mice, and OXT was administered intraperitoneally in vivo and supplemented in vitro.

Bioinformatics analysis revealed significant changes in OXT expression levels, particularly in fatty acid metabolism. Elevated OXT expression levels in MASLD patients were identified as an independent prognostic factor. In vitro, OXT significantly reduced OA-induced lipid accumulation in HepG2 cells, while in vivo, it decreased body weight, liver injury, and serum cholesterol levels in high-fat diet-fed mice. Mechanistically, OXT enhanced the expression level of phosphorylated AMP-activated protein kinase (AMPK) and suppressed the levels of sterol regulatory element-binding protein-1c (SREBP1c) and fatty acid synthase (FAS). Blockade of AMPK with the chemical inhibitor Compound C reversed the ability of OXT to suppress the SREBP1c/FAS axis and reduce lipid accumulation in hepatocytes. Additionally, OXT inhibited the nuclear translocation of SREBP1c in OA-treated cells.

The findings demonstrate that OXT may serve as a potential therapeutic agent for MASLD by regulating the AMPK/SREBP1c/FAS pathway in lipid metabolism.

The existing wound assessment tools, which are based on modern medical theory, limit the clinical application of traditional Chinese medicine (TCM) nursing. This research aimed to develop a scientific, standardized, and characteristic TCM nursing evaluation form for chronic wounds.

Based on a literature review and research group discussions, an initial draft of an expert consultation questionnaire, based on literature from the past five years (2017–2021) from databases such as CNKI, Wanfang, VIP, and SinoMed, was formulated. The authority of the experts was expressed using the authority coefficient, derived from self-evaluations, which is critical for ensuring the scientific validity and rationality of the indicator system. After three rounds of Delphi expert consultation, the TCM nursing assessment form for wound surfaces was finalized.

The effective response rate for the three rounds of expert consultation questionnaires was 100%. The judgment coefficient was 0.85, the familiarity coefficient was 0.89, and the authority coefficient was 0.87. The coefficients of variation for the three rounds were 0.172, 0.044, and 0.013, respectively, while the Kendall’s coefficients of concordance were 0.406, 0.269, and 0.502, respectively, with statistically significant differences (p < 0.001). The final TCM nursing assessment form for wound surfaces included four basic information items, two primary indicators, 17 secondary indicators, and 13 tertiary indicators.

The TCM nursing assessment form integrates TCM syndrome differentiation principles and provides a standardized tool for the assessment of chronic wounds.

Alpha-1 antitrypsin deficiency (AATD) is an autosomal codominant genetic disorder caused by mutations in the SERPINA1 gene. It results in reduced circulating levels of alpha-1 antitrypsin (AAT), a serine proteinase inhibitor (PI) primarily produced by hepatocytes. The most common deficient alleles are PI*S and PI*Z, with PI*ZZ homozygotes having the most severe deficiency and highest risk for lung and liver disease. While AATD is well established as a cause of early-onset emphysema and liver cirrhosis, emerging evidence suggests a potential association with the formation of arterial aneurysms. The pathophysiological rationale for this association centers on protease-antiprotease imbalance and potential extracellular matrix degradation of elastin in arterial vessel walls. Several studies have reported increased frequencies of AATD alleles in patients with abdominal aortic aneurysms and intracranial aneurysms compared to the general population, with some demonstrating statistically significant associations. Additionally, patients with the PI*ZZ genotype have been shown to have larger aortic diameters, greater aortic stiffness, and reduced distensibility compared to controls. However, the evidence is inconsistent, as several large studies have failed to demonstrate significant associations between AATD and aneurysm formation. Overall, current evidence suggests an association of AATD with the development of arterial aneurysms. However, it is also clear that the presence of AATD alone is not sufficient to increase the risk of developing new-onset arterial aneurysms.

Accurate identification of invasive fungal pathogens is crucial for appropriate antifungal therapy. The Department of Clinical Laboratory at Indus Hospital & Health Network, Karachi, Pakistan, reported two cases of invasive fungal infections between 1st January and 31st March 2024 in which conventional identification methods and automated systems produced discordant results, highlighting critical diagnostic challenges.

Two invasive yeast isolates initially showing budding yeast cells without pseudohyphae on Gram stain were subjected to conventional identification using cornmeal-Tween 80 agar, chrome agar, and BiGGY agar, followed by automated identification using the VITEK 2 ID-YST system and confirmatory API 20C AUX testing. Both isolates demonstrated typical soft, wrinkled, cream-colored colonies on Sabouraud dextrose agar, which on chrome agar appeared as dry, blue colonies and on BiGGY agar as dry, brown colonies. Characteristic arthroconidia and blastoconidia formation on cornmeal-Tween 80 agar were observed, consistent with Trichosporon species. However, the VITEK 2 ID-YST system identified both isolates as Cryptococcus laurentii with good confidence levels. India ink staining was negative for both isolates. Confirmatory API 20C AUX testing correctly identified both isolates as Trichosporon asahii (identification profile 3740734).

This discordance between automated and conventional methods underscores the continued importance of conventional identification techniques and highlights potential limitations of automated systems for certain uncommon yeasts. Laboratories should maintain proficiency in conventional methods and consider confirmatory testing when automated results conflict with morphological findings. The clinical implications of misidentification include inappropriate antifungal selection, given the different susceptibility patterns between these species.