Malignant mixed Müllerian tumor (MMMT) or carcinosarcoma of the female genital tract is a rare but highly aggressive malignancy.

We report a unique case of primary ovarian MMMT with poorly differentiated angiosarcoma as its homologous sarcomatous component in a 53-year-old woman with a known germline BRCA1 mutation who presented with a pelvic mass. She underwent staging cytoreduction surgery including total hysterectomy, bilateral salpingo-oophorectomy, omentectomy, and pelvic and para-aortic lymph node dissections. The removed right ovarian tumor formed a 2.5 cm nodular to cystic mass replacing the entire organ. Microscopic examination revealed two distinct tumor components: high-grade serous carcinoma and poorly differentiated angiosarcoma. The proliferating sarcomatous cells were diffusely positive for CD31 and Factor VIII, but were negative for 100, SOX10 and cytokeratin. Both the serous carcinoma and angiosarcoma components demonstrated aberrant strong and diffuse p53 nuclear positivity. KRAS mutation analysis revealed guanine-adenine-thymine point mutation at codon 12 in both tumor components. Metastatic tumor was found involving the contralateral left ovary with the cellular composition of pure angiosarcomatous component.

This is the first report of an ovarian MMMT with angiosarcoma as its homologous sarcoma component. The presence of aberrant p53 expression and identical KRAS mutation in both the serous carcinoma and angiosarcoma components supports the theory of malignant mesenchymal transition/metaplasia in the development of MMMT.

Potential celiac disease (PCD) is defined as elevated celiac serology with a preserved small intestinal mucosa. This study aimed to identify baseline characteristics and the outcomes of children with PCD consuming a gluten-containing diet.

This was a retrospective cohort study of pediatric PCD patients diagnosed between 12/2018 and 10/2024. Baseline data included demographics, anthropometrics, clinical symptoms and signs, celiac serology, and biopsy results. Follow-up data included repeat serology and biopsy results when performed.

PCD was diagnosed in 75/517 (14.5%) children undergoing upper endoscopy for suspected celiac disease (CeD). Baseline anti-transglutaminase IgA (TTG) was above 10× the upper limit of normal (ULN) in 18 (24%), between 3–10× ULN in 52 (69.3%), and <3× ULN in five (6.6%). Anti-endomysial antibody was positive in 57 (76%). Among 48 children (64%) with at least one year of follow-up, TTG normalized in 26 (54.1%), decreased to <3× ULN in 13 (27.1%), was between 3–10× ULN in six (12.5%), and was above 10× ULN in three (6.3%). Nine children had a repeat endoscopy, and six (66.7%) were diagnosed with CeD, while three remained PCD. Among the 11 children with TTG >10× ULN and at least one year of follow-up, TTG normalized in three, declined in five, and increased or remained above 10× ULN in three.

PCD is common and may be found in children with TTG above 10× ULN; approximately half will normalize TTG. The omission of biopsies may result in an erroneous diagnosis of CeD.

Chronic hepatitis B virus (HBV)-infected patients may exhibit liver fibrosis and other pathological changes despite normal alanine aminotransferase (ALT). This study aimed to assess the efficacy and safety of tenofovir amibufenamide (TMF) in chronic HBV-infected patients with normal ALT levels.

The ongoing PROMOTE study (NCT05797714) is the first prospective, multicenter, randomized, open-label, blank-controlled clinical trial involving chronic HBV-infected patients with normal ALT levels. Participants were randomized in a 1:1 ratio to receive either TMF (TMF group) or no treatment (blank control group). The primary efficacy endpoint was the proportion of participants achieving HBV DNA levels <20 IU/mL at 48 weeks.

A total of 197 participants were enrolled, with 95 in the TMF group and 102 in the blank control group. At 48 weeks, a significantly greater proportion of participants in the TMF group achieved HBV DNA levels <20 IU/mL compared with the control group (74.2% vs. 9.0%, P < 0.001). The TMF group demonstrated more pronounced reductions in HBV DNA (−2.63 vs. −0.22 log10 IU/mL, P < 0.001), HBsAg (−0.07 vs. −0.04 log10 IU/mL, P = 0.02), and ALT levels (−14.09% vs. 0%, P = 0.003) compared with the blank control. In the TMF group, the proportion of participants with high-normal ALT levels (20–40 IU/L) was reduced. No significant differences were observed between the groups in creatinine, glomerular filtration rate, bone turnover biomarkers, lipid profiles, or phosphorus levels.

TMF treatment demonstrates significant efficacy in chronic HBV-infected patients with normal ALT levels and shows a favorable safety profile regarding bone, renal, and lipid parameters. The PROMOTE study is ongoing, and further results at 96 and 144 weeks are expected to provide additional insights.

Metabolic syndrome (MetS) is associated with a plethora of different comorbidities. Exploring its key molecular mechanisms, such as advanced glycation end product and its receptor (AGE/RAGE) pathway, holds great potential. Numerous sources agree that targeting the AGE/RAGE pathway is a potential therapeutic strategy for MetS. However, the regulation of AGE/RAGE by microRNAs (miRNAs) in the context of MetS is still poorly understood. This review aimed to provide a systematic picture of the influence of miRNAs on AGE/RAGE in the context of MetS, with a particular focus on its ligands and receptors. This review achieves this in two ways: through an inductive “bottom-up” approach realized by a classical descriptive literature search, and through a deductive/synthetic “top-down” approach based on carefully selected miRNA profiling studies in MetS and its comorbidities. Although the initial inductive approach allowed the identification of some miRNAs of interest, almost all articles on this topic focus on the regulation of processes exclusively involved in atherogenesis. The new deductive approach has broadened the research horizon: It has enabled the discovery of new promising miRNAs and allowed for ranking different comorbid pathologies in MetS according to the degree of miRNA dysregulation of AGE/RAGE. Thus, in addition to atherosclerosis, significant miRNA dysregulation of AGE/RAGE was also described in MetS, particularly in immune cells, as well as in subcutaneous adipose tissue in obesity. This review, along with the novel approaches to systematizing the data contained therein may contribute to the understanding of MetS pathogenesis and the search for targets for the treatment of MetS.

Infection control is essential for the success of prosthodontic and oral implant procedures, as microbial contamination can lead to serious complications such as denture stomatitis and peri-implantitis. While synthetic disinfectants like chlorhexidine are commonly used, they may cause side effects including irritation, toxicity, and the development of microbial resistance over time. Natural products derived from plants, animals, and minerals are currently being explored as safer alternatives. Compounds such as epigallocatechin gallate from green tea; eugenol from clove oil; quercetin, thymol, cinnamaldehyde, and flavonoids from propolis; and terpinen-4-ol from tea tree oil have shown strong antimicrobial and anti-biofilm properties. These natural agents are not only effective against harmful oral bacteria but also promote healing, are more biocompatible, environmentally friendly, and are often preferred by patients. However, challenges remain regarding their routine clinical use. The strength and composition of natural agents can vary, and there is a lack of consistent product standards, clinical trials, and comprehensive safety data. Currently, these products are not approved by the U.S. Food and Drug Administration for dental use and are only available as over-the-counter remedies. Production costs and scalability must also be evaluated in comparison with synthetic alternatives. Emerging technologies, such as nanocarriers and targeted delivery systems, are being developed to enhance the effectiveness of natural agents in dental applications. Further clinical research and the establishment of clear regulatory guidelines are necessary to support their integration into clinical practice. Natural disinfectants hold significant potential to become valuable, safe, and sustainable tools for maintaining hygiene in prosthodontics and oral implantology.

Immunoinflammatory skin diseases are characterized by an imbalance in immune homeostasis, and their chronic inflammatory processes involve a complex regulatory network of CD4+ T cell differentiation. With the widespread use of biologics (e.g., interleukin-17/interleukin-23 inhibitors) in psoriasis, atopic dermatitis, and other diseases, the adverse effects triggered by the phenomenon of CD4+ T cell-mediated immune drift have attracted significant attention, with the skin being the primary target as an immune organ. In this paper, we provide a review of the clinical features of the skin and the mechanisms of immune drift caused by different types of biologics, as well as the therapeutic modalities.

Artificial intelligence (AI) is transforming the diagnosis, treatment, monitoring, and research of soft tissue disorders, which include muscles, tendons, ligaments, fascia, nerves, and blood vessels. Traditional diagnostic methods often rely on imaging, histopathology, and clinical evaluation, which can be time-consuming and prone to human error. This review aims to explore the impact of AI on enhancing soft tissue care. The review examines the application of deep learning algorithms in medical imaging, pathology, predictive analytics, and treatment planning. It also evaluates AI’s role in monitoring and rehabilitation, as well as its contributions to research in soft tissue disorders. AI significantly improves the accuracy of medical imaging analysis, facilitating the detection of abnormalities such as tumors and tears. AI-powered pathology tools automate slide analysis, enhancing diagnostic consistency and efficiency. Predictive analytics enable early risk assessment and personalized patient management. In surgical contexts, AI supports preoperative simulations and robotic-assisted procedures, leading to improved outcomes. Additionally, AI enhances patient monitoring through wearable devices and telemedicine. The integration of AI into soft tissue diagnostics and therapeutics presents transformative potential for personalized and efficient healthcare. However, challenges related to data security, algorithm bias, interpretability, and ethical considerations must be addressed. Overall, AI holds promise for improving patient outcomes and advancing medical science in the field of soft tissue disorders.