Leishmaniasis is a dangerous yet neglected tropical disease affecting a vast population of the world. Several medicinal plants and their constituents (natural products/phytochemicals) have been considered of prime importance for the management of leishmaniasis over the years. The present review sheds light on the molecular mechanisms of the constituents obtained from medicinal plants that are pre-clinically effective against leishmaniasis. Various mechanisms by which medicinal plant-derived natural products elicit their action against leishmaniasis are illustrated in the literature. The mechanisms identified include: disruption of cytoplasmic and mitochondrial membranes, induction of apoptosis and autophagy, modulation of gene expression and immunological pathways, pro-oxidant effects (disrupting redox balance) with mitochondrial dysfunction, cell cycle arrest, impaired cellular bioenergetics, i.e., adenosine triphosphate production and coagulation of cellular contents within Leishmania parasites. Future phytochemical and pharmacological (especially clinical) studies are necessary to further understand the mechanistic details of medicinal plant-derived natural compounds and to develop new phytotherapeutic entities from nature against leishmaniasis.

This review presents the latest evidence on the link between genetic single nucleotide polymorphisms and dental caries, highlighting key genes and pathways involved, introducing foundational concepts, and discussing essential methodological considerations for future research. Several genes have been identified as significantly associated with caries experience, including those related to tooth mineral tissues, taste perception, salivary composition and flow, and immune response. Epistatic interactions appear to be crucial in explaining genetic influence. Inconsistencies in the literature are attributed to variations in caries classification, age groups, ethnic backgrounds, limited statistical power, and linkage disequilibrium. Population stratification often confounds results, and few studies adequately control for genetic ancestry. Ensuring Hardy-Weinberg equilibrium and accounting for linkage disequilibrium are essential to avoid bias. Bonferroni corrections for multiple comparisons are fundamental but rarely applied, contributing to inconsistent findings. In conclusion, genetic epidemiology studies suggest that dental caries has a genetic component, accounting for significant individual differences in disease risk.

The incidence of early-onset pancreatic cancer (EOPC) is rising, yet optimal treatment strategies remain unclear. While adjuvant chemotherapy (ACT) has shown survival benefits in pancreatic ductal adenocarcinoma, its specific role in EOPC patients following neoadjuvant chemotherapy (NACT) and surgery remains underexplored. This study aimed to assess the clinical benefit of ACT in EOPC patients after NACT.

This retrospective cohort study analyzed pancreatic ductal adenocarcinoma patients from the SEER database (2006–2019) who received NACT followed by curative resection. Propensity score matching (1:1) was used to balance covariates such as tumor, lymph node, metastasis stage, chemotherapy, and radiotherapy. Overall survival (OS) and cancer-specific survival (CSS) were compared between patients with EOPC (<50 years) and average-onset pancreatic cancer (AOPC, ≥50 years). Multivariate Cox regression analysis was performed to identify prognostic factors.

After propensity score matching (124 EOPC vs. 124 AOPC), EOPC patients had significantly longer median OS (41.0 vs. 29.0 months, P = 0.042) and CSS (48.0 vs. 30.0 months, P = 0.016). ACT was an independent prognostic factor for EOPC (OS: hazard ratio = 0.495, 95% confidence interval 0.271–0.903, P = 0.022; CSS: hazard ratio = 0.419, 95% confidence interval 0.219–0.803, P = 0.009), but not for AOPC (P > 0.05). Subgroup analysis revealed that EOPC patients with tumor, lymph node, metastasis stage II disease or those receiving ACT derived the greatest survival benefit.

EOPC patients exhibit superior survival following NACT and surgical resection compared to AOPC, with ACT further enhancing outcomes in this subgroup. These findings support the use of tailored ACT for EOPC and underscore the need for prospective validation.

Huo Xue Tong Luo Capsule (HXTL) has been clinically used to treat osteonecrosis of the femoral head, osteoporosis, and other bone and joint diseases with promising effects. Our previous study has shown that HXTL can promote osteogenesis in mesenchymal stem cells by inhibiting lncRNA-Miat expression through histone modifications. However, the mechanism by which HXTL treats postmenopausal osteoporosis (PMOP) remains unclear. In this study, we used network pharmacology-based mechanism prediction, molecular docking, and pharmacological validation to investigate the mechanism of HXTL in treating PMOP.

The key candidate targets and relevant signaling pathways of HXTL for PMOP treatment were predicted using network pharmacology and molecular docking analysis. RAW264.7 cells were used for Western blot to validate the predicted mechanistic pathways. The ovaries of mice were surgically removed to simulate PMOP. The effect of HXTL on PMOP was evaluated using tartrate-resistant acid phosphatase staining and immunohistochemical assays in vivo.

Network pharmacology analysis suggested that HXTL interacted with 215 key targets linked to PMOP, primarily affecting the PI3K-AKT signaling pathway. Molecular docking showed that the main components of HXTL exhibited strong binding affinity to NFATc1, p-PI3K, and p-AKT1. Furthermore, our in vitro results confirmed that HXTL suppressed the PI3K-AKT signaling pathway. In vivo, HE and tartrate-resistant acid phosphatase staining results showed that HXTL inhibited osteoclast formation and protected bone mass.

This research demonstrated that HXTL could inhibit osteoclast formation and prevent bone loss induced by ovariectomy in mice by inhibiting the PI3K-AKT signaling pathway. These findings provide important evidence for the clinical application of HXTL in treating PMOP.

Incomplete immune reconstitution is characterized by chronic immune activation and systemic inflammation, which are not fully reversed by antiretroviral therapy. Dihydroartemisinin (DHA) has demonstrated anti-inflammatory and immunosuppressive properties, which may benefit individuals with incomplete immune reconstitution. This study aimed to investigate the biological mechanisms underlying incomplete immune reconstitution and evaluate the therapeutic potential of DHA in modulating immune activation in immunological non-responders (INRs). This study aimed to investigate the biological mechanisms underlying incomplete immune reconstitution and evaluate the therapeutic potential of DHA in modulating immune activation in immunological non-responders (INRs).

RNA sequencing data (GSE106792) was retrieved from the Gene Expression Omnibus database. R software and Bioconductor packages were used to identify differentially expressed genes (DEGs) among INRs, immune responders (IRs), and healthy controls (HCs). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses, along with protein-protein interaction (PPI) network construction, were performed. Potential DHA-binding proteins were predicted using the STITCH server and molecular docking studies. Validation experiments were conducted on peripheral blood mononuclear cells from 18 INRs. Cells were treated with varying concentrations of DHA, and CD4+ and CD8+ T cell activation markers (CD38 and HLA-DR) were measured via flow cytometry.

Enrichment and PPI network analysis identified 119, 56, and 189 DEGs in the INR vs. HC, INR vs. IR, and IR vs. HC comparisons, respectively. Enrichment and PPI analyses showed that DEGs were mainly involved in immune response pathways. DHA was predicted to interact with multiple target proteins, indicating anti-inflammatory effects. In vitro, DHA significantly reduced the frequency of CD38− HLA-DR+ CD4+ T cells and CD38+ HLA-DR+ CD8+ T cells at 1,000 µM and 500 µM compared to the control.

This study provides insights into the biological mechanisms underlying incomplete immune reconstitution and supports DHA’s potential as a therapeutic agent. DHA effectively inhibits T cell activation in INRs, presenting a novel and promising treatment strategy.

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.

Drug-induced liver injury (DILI) represents a prevalent adverse event associated with medication use. However, the exact mechanisms underlying DILI remain incompletely understood, and the lack of specific diagnostic and prognostic biomarkers poses significant challenges to the clinical diagnosis and treatment of this condition. Consequently, our study aimed to endeavor to identify serum and fecal metabolic biomarkers, enabling more accurate DILI diagnosis and improved prediction of chronic progression.

Untargeted metabolomics analysis was performed on serum and fecal samples obtained from a cohort of 32 DILI patients (causality confirmed via the updated Roussel Uclaf Causality Assessment Method) and 36 healthy controls. Utilizing techniques such as partial least squares-discriminant analysis modeling and t-tests, we identified significantly differentially expressed metabolites and metabolite sets. Causality assessment was performed using the updated Roussel Uclaf Causality Assessment Method.

The findings from the analysis of serum and fecal metabolomics association pathways suggested that perturbations in bile acid metabolism might serve as potential mechanisms underlying the progression of DILI. Our study revealed 22 overlapping differential metabolites between serum and feces, displaying significant concentration differences between the DILI and healthy control groups. Notably, we identified chenodeoxycholic acid and deoxycholic acid as promising markers that not only distinguished DILI patients from healthy individuals but also exhibited predictive potential for DILI chronicity.

The integrated analysis of serum and fecal metabolites uncovers the significant disruption of bile acid metabolites as a key contributing factor in the pathogenesis of DILI. Our study offers promising potential biomarkers for the diagnosis and prognosis of DILI, paving the way for a novel perspective in the realm of DILI diagnosis and treatment.

Emergency department (ED) presentations are associated with higher cancer mortality. This study aimed to investigate the prevalence, frequency, and risk factors in Australian patients diagnosed with malignant skin cancers.

This data-linkage cohort study examined adult patients presenting to the ED at the Royal Melbourne and Western Health hospitals within 12 months of a malignant skin cancer diagnosis. Multivariable logistic and Poisson regressions were used to analyze factors influencing the prevalence and frequency of ED presentations.

A total of 3,873 patients were diagnosed with skin malignancies between 2010 and 2018, of which 631 were diagnosed with melanoma. The prevalence of ED presentation was 29%, representing 2,119 episodes of care (median: 0; range: 0–14). Risk factors for a higher prevalence and frequency included: age ≥75 years (odds ratio (OR) = 1.78 [95% confidence interval 1.47–2.15]; incidence risk ratio (IRR) = 1.52 [1.35–1.70]); male (OR = 1.17 [1.01–1.36]; IRR = 1.23 [1.12–1.35]); socioeconomic status levels of 0–30% (OR = 1.59 [1.24–2.03]; IRR = 1.69 [1.45–1.96]) and 71–100% (OR = 1.30 [1.07–1.58]; IRR = 1.27 [1.12–1.45]); preferred language other than English (OR = 1.47 [1.17–1.84]; IRR = 1.49 [1.32–1.69]); and experience with any systemic therapy or radiotherapy (OR = 3.77 [2.12–6.71]; IRR = 2.36 [1.82–3.05]). Age < 65 years was protective (OR = 0.72 [0.59–0.89]; IRR = 0.78 [0.68–0.90]). Other preferred languages and cancer treatment experience were also risk factors in the sub-cohort with melanoma.

This study reports the prevalence and frequency of ED presentations following a skin cancer diagnosis and their association with socioeconomic and linguistic factors in Australia. Increased awareness of these factors could help address health inequities and potentially reduce the need for ED presentations.

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.