Harlequin ichthyosis, one of the rarest and most severe skin disorders, is mainly characterized by extreme hyperkeratosis, severely impairing the natural barrier function of the skin. This congenital disease results from a mutation in the ABCA12 gene responsible for lipid transport, whereby healthy skin development is assured. Harlequin ichthyosis is an autosomal recessive condition that requires parents to carry a defective gene copy for the disorder to manifest in their offspring. Babies born with Harlequin ichthyosis have thick skin plates that crack and flake off; they easily become dehydrated, infected, and may suffer from respiratory complications. With new improvements in neonatal care and systemic therapy, notably retinoid therapy, infants’ survival rates have improved. This review provides an inclusive overview of the pathophysiology, clinical features, diagnostic methods, management, and potential future therapies for Harlequin ichthyosis. In addition, a discussion on genetic counseling and its importance in managing family risk factors is also included, as well as a look into cutting-edge research focused on gene therapy and potential curative treatments.

The advent of nanoparticle technology has transformed oncology therapeutics through its capacity for accurate drug delivery and regulated pharmaceutical release, boosting treatment effectiveness while minimizing adverse reactions. Various nanostructures, including polymeric carriers, liposomal formulations, and metal-based nanoparticles, can be engineered with tumor-specific targeting molecules to facilitate cellular uptake in malignant cells. Despite these advancements, issues such as production scalability, potential chronic toxicity, and regulatory approval processes still need to be addressed. Viral nanoparticles and virus-like particles (VLPs) represent innovative tools in nanotechnology and biomedicine, offering exceptional potential for targeted therapies, immune modulation, and diagnostic applications. Their natural biocompatibility, precise structural organization, and capacity for surface modification make them highly suitable for developing strategies to treat malignant tumors. Alongside VLP development, other approaches have also been investigated, such as magnetic hyperthermia, where magnetic nanoparticles are used to generate localized heat under an external magnetic field, selectively destroying cancer cells while sparing healthy tissue. This paper presents a brief review of nanocarriers in drug delivery systems and discusses the integration of nanoparticles, viral nanoparticles, and VLPs. Additionally, we explore the challenges and propose cutting-edge solutions, offering a forward-looking perspective on how the combination of these advanced technologies could transform oncology.

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain unclear. In this study, we aimed to identify biomarkers for MASLD and evaluate their diagnostic and prognostic significance.

We conducted a Mendelian randomization analysis to assess the causal effects of 2,925 molecular biomarkers (from proteomics data) and 35 clinical biomarkers on MASLD. Mediation analysis was performed to determine whether clinical biomarkers mediated the effects of molecular biomarkers. The association between key clinical biomarkers and MASLD was externally validated in a hospital-based cohort (n = 415). A machine learning–based diagnostic model for MASLD was developed and validated using the identified molecular biomarkers. Prognostic significance was evaluated for both molecular and clinical biomarkers.

Six molecular biomarkers—including canopy FGF signaling regulator 4 (CNPY4), ectonucleoside triphosphate diphosphohydrolase 6 (ENTPD6), and major histocompatibility complex, class I, A (HLA-A)—and eight clinical biomarkers (e.g., serum total protein (STP)) were identified as causally related to MASLD. STP partially mediated the effect of HLA-A on MASLD (23.61%) and was associated with MASLD in the external cohort (odds ratio = 1.080, 95% confidence interval: 1.011–1.155). A random forest model demonstrated high diagnostic performance (AUC = 0.941 in training; 0.875 in validation). High expression levels of CNPY4 and ENTPD6 were associated with the development of and poorer survival from hepatocellular carcinoma. Low STP (<60 g/L) predicted all-cause mortality (HR = 2.50, 95% confidence interval: 1.22–5.09).

This study identifies six causal molecular biomarkers (e.g., CNPY4, ENTPD6, HLA-A) and eight clinical biomarkers for MASLD. Notably, STP mediates the effect of HLA-A on MASLD and is associated with all-cause mortality.

Ischemic stroke is a complex cerebrovascular disorder characterized by highly unpredictable outcomes influenced by patient-specific variables, including age, stroke severity, and preventable stroke-related complications such as infections. Analyses of clinical data have indicated a cumulative post-stroke infection rate of approximately 30%, with reported rates ranging from 5% to 65%. Post-stroke infections pose a significant challenge, as they not only increase the financial burden of stroke care but are also associated with adverse clinical outcomes, prolonged hospital stays, and a higher risk of stroke recurrence. The inflammatory response plays a pivotal role in the pathophysiology of ischemic stroke, encompassing the activation of inflammatory cells, the release of inflammatory mediators, and the engagement of inflammatory signaling pathways. Recent advances in molecular biology have facilitated the identification and investigation of numerous inflammation-related biomarkers. This article reviews the roles and mechanisms of key inflammatory biomarkers, including cytokines, chemokines, adhesion molecules, inflammation-related enzymes and mediators, receptors, signaling pathway molecules, and acute-phase proteins in the context of ischemic stroke, highlighting their significance in stroke pathophysiology and prognostic assessment. Additionally, in conjunction with the latest research advances, the article discusses novel biomarkers such as microRNAs and galectin-3, which are emerging as important tools in multiple domains, including diagnosis and treatment. Drawing on clinical diagnostic and therapeutic practices, this review analyzes the diagnostic and therapeutic roles of both novel and traditional biomarkers in the progression of ischemic stroke, following the temporal sequence from disease onset to prognosis. Finally, the article addresses the limitations of current research and offers perspectives on future directions, providing insights that may contribute to the advancement of precision medicine in the management of ischemic stroke.

High-grade serous carcinoma is a rare diagnosis in cervical biopsies. Cervical serous carcinoma is no longer recognized as a primary cervical tumor in the 2020 World Health Organization classification. This study aimed to characterize the clinicopathologic, immunohistochemical, and molecular features of high-grade serous carcinoma identified in cervical or endocervical biopsies, to assess tumor origin and ensure accurate classification.

Fifty-nine cases originally diagnosed as “serous carcinoma” or “high-grade serous carcinoma” in cervical or endocervical biopsies from 2013 to 2023 were retrospectively reviewed. Clinical data, radiologic findings, and follow-up information were analyzed. Histologic features and immunohistochemical profiles were re-evaluated. Targeted next-generation sequencing was performed on a subset of cases.

The majority of tumors (96%) were determined to originate from the endometrium (n = 47) or the tubo-ovarian region (n = 4), with only one case confirmed as a primary cervical carcinoma. Morphologic patterns varied and could mimic human papillomavirus-associated adenocarcinoma. All tumors showed aberrant p53 expression and diffuse p16 positivity. WT-1 was expressed in all tubo-ovarian tumors but in only 12% of endometrial cases. Estrogen receptor and progesterone receptor were frequently positive in endometrial tumors; human epidermal growth factor receptor 2 was positive in 31% of cases. Molecular analysis confirmed tumor protein p53 mutations and other alterations typical of uterine serous carcinoma.

High-grade serous carcinoma identified in cervical biopsies is overwhelmingly secondary to upper genital tract tumors, most commonly of endometrial origin. A small subset of endocervical adenocarcinomas may mimic serous carcinoma. These findings support the exclusion of primary cervical serous carcinoma from the current World Health Organization classification and emphasize the importance of accurate diagnosis for appropriate management.

Metabolic dysfunction-associated fatty liver disease, representing a spectrum of liver disorders from simple steatosis to metabolic dysfunction-associated steatohepatitis, fibrosis, and cirrhosis, has emerged as one of the most prevalent chronic liver conditions globally, affecting an estimated approximately 30% of the world's population. Its pathogenesis is highly complex, involving intricate interactions between genetic predisposition, metabolic dysregulation, inflammation, and cellular stress responses. Within this complex landscape, orphan nuclear receptors (ONRs) have gained significant attention. Defined by the lack of identified endogenous ligands, ONRs function as master transcriptional regulators controlling diverse biological processes. Crucially, they play pivotal roles in the development and progression of numerous diseases, including metabolic disorders.This review specifically focuses on elucidating the critical contributions of various ONRs to the pathogenesis of metabolic dysfunction-associated fatty liver disease. We examined how these receptors modulate key pathological drivers: lipid metabolism, inflammation,and autophagy.

Targeted drug delivery remains a major challenge in cancer therapy, often limiting both efficacy and safety. Although microRNA sponges and short-hairpin RNAs show potential for gene-based cancer treatment, their clinical use is restricted by delivery inefficiency, off-target effects, cytotoxicity, and instability. Viral vectors offer high efficiency but are associated with issues such as immune responses, insertional mutagenesis, and limited cargo capacity. Non-viral carriers are safer and more affordable but suffer from poor transfection efficiency, instability, and inadequate endosomal escape. These limitations hinder the clinical application of RNA therapeutics. The Vir-inspired Biotechnical Vector (VIBV) is a novel hybrid platform that combines viral and non-viral elements with nanotechnology to enable personalized, tumor-specific gene therapy. Engineered with a spindle-shaped nanocore and a polyethylene glycolylated liposomal shell, VIBV ensures immune evasion, prolonged circulation, and controlled therapeutic release triggered by tumor microenvironmental cues such as acidity, hypoxia, and elevated glutathione levels. It delivers oncogenic microRNA sponges, short-hairpin RNAs, tumor-specific antigens, and cyclin-targeting RNAs to enhance gene silencing, immune activation, and tumor suppression. This review examines the limitations of current delivery systems and presents VIBV as a promising next-generation strategy with improved biocompatibility, targeting precision, and potential for cost-effective, personalized cancer therapy, while also addressing its remaining challenges and prospects.

The Chinese Society of Hepatology of the Chinese Medical Association has invited experts in relevant fields to revise and rename the 2019 “Chinese Guidelines on the Management of Liver Cirrhosis” to “Chinese Guidelines for Clinical Diagnosis, Treatment, and Management of Cirrhosis (2025)”. These updated guidelines are aimed at providing recommendations for the clinical diagnosis and management of liver cirrhosis across the compensated, decompensated, and recompensated stages, as well as guidance on cirrhosis reversal and associated complications.

Drug discovery is an exceptionally long and costly process, often taking over 10 years and costing billions of dollars. Despite these efforts, more than 90% of drug candidates fail, with most failures occurring during clinical trials due to issues related to efficacy, safety, or poor pharmacokinetics. A major contributor to these failures is biopharmaceutic barriers, including poor solubility, limited permeability, active efflux by transporters such as P-glycoprotein and breast cancer resistance protein, and extensive first-pass metabolism by CYP450 enzymes. These factors severely limit drug absorption and bioavailability, reducing therapeutic efficacy. Although traditional approaches, such as high-throughput absorption, distribution, metabolism, and excretion screening and improved chemical design, have achieved some progress, a major shift is now occurring through the use of in silico modeling, artificial intelligence (AI), and machine learning. These AI-driven tools enhance the prediction accuracy of absorption, distribution, metabolism, and excretion profiles, identify transporter interactions, and even simulate metabolic pathways. Additionally, modern formulation technologies, such as three-dimensional printing, lipid-based nanocarriers, and biodegradable delivery systems, are increasingly being integrated with AI-powered design platforms to personalize and optimize drug delivery. However, these promising advancements also raise regulatory and ethical concerns that must be addressed before widespread adoption. This review examines the major biopharmaceutic barriers responsible for drug development failures and explores how emerging AI-driven strategies and formulation innovations are being used to overcome these limitations. It also discusses current regulatory challenges and ethical considerations associated with adopting these technologies.

Histologic remission is recommended as an adjunctive treatment target in ulcerative colitis, and scoring systems have been proposed to enhance reproducibility. The Nancy Histologic Index (NHI) is increasingly used in clinical trials; however, its performance in real-world settings is not fully established. This study aimed to assess the interrater reliability (IRR) of the NHI among gastrointestinal pathologists in the United States.

Thirty-seven whole-slide images of colorectal biopsies from 34 treated ulcerative colitis patients enrolled in a multicenter adult cohort were independently reviewed by 12 gastrointestinal pathologists. Each biopsy was reviewed twice, five months apart, and graded using the NHI. Prior to the second review, pathologists completed an online tutorial on the NHI.

The NHI showed substantial IRR in both reviews [intraclass correlation coefficient (ICC) = 0.79; 95% confidence interval (CI), 0.70–0.87 at Review 1; ICC = 0.78; 95% CI, 0.69–0.86 at Review 2]. However, considerable variability was observed in individual grade assignments, with the lowest IRR for Grade 2 (ICC = 0.24; 95% CI, 0.15–0.37; P < 0.001, and ICC = 0.23; 95% CI, 0.14–0.36; P < 0.001 for Reviews 1 and 2, respectively), followed by Grade 4 (ICC = 0.41; 95% CI, 0.29–0.55; P < 0.001, and ICC = 0.47; 95% CI, 0.35–0.61; P < 0.001). Grade 1 showed the highest IRR (ICC = 0.79; 95% CI, 0.70–0.87; P < 0.001, and ICC = 0.78; 95% CI, 0.69–0.86; P < 0.001). When Grades 2, 3, and 4 (i.e., active disease) were grouped together, the IRR remained substantial across both reviews (ICC = 0.76; 95% CI, 0.66–0.85; P < 0.001).

While the substantial IRR for active disease (Grades ≥ 2) in this study underscores the clinical utility of the NHI, the IRR for grades 2, 3 and 4 was fair. Thus, refining the criteria for Grades 2, 3, and 4 will be needed to reduce variability among observers and enabling more accurate monitoring of treatment endpoints.