Ke Wu

A recent study published in World Journal of Diabetes by Zhu et al reported that liraglutide ameliorates streptozotocin-induced diabetic cardiomyopathy in rats, accompanied by activation of the adenosine monophosphate-activated protein kinase-Parkin mitophagy pathway. While the reported cardioprotective phenotype is convincing, the conclusion that these effects arise from direct cardiomyocyte receptor signaling warrants cautious interpretation. The expression of functional glucagon-like peptide-1 receptors in ventricular cardiomyocytes remains controversial, and downstream signaling events alone do not definitively establish cell-type specific receptor engagement. In addition, primary cardiomyocyte cultures may contain non-myocyte populations, which introduces uncertainty regarding the cellular origin of the observed molecular signals. This correspondence highlights the need for careful interpretation of cellular attribution and outlines experimental strategies that could help resolve this issue. Clarifying the cellular targets of liraglutide action is essential for accurate mechanistic understanding and translational application in diabetic heart disease.

Background: Obesity is associated with aggressive prostate cancer, but the links between metabolic dysregulation, inflammation, adipocyte-associated signaling, and tumor growth remain incompletely defined. This study examined whether high-fat diet (HFD)-associated systemic changes and adipocyte-derived paracrine interactions are linked to prostate cancer growth in preclinical models. Methods: An HFD xenograft model and adipocyte co-culture systems were used to evaluate systemic and local tumor-supportive features. Pharmacologic/nutritional modulation was tested using green tea or EGCG, arctigenin, and the CCR2 antagonist RS 504393, alone or in combination. Tumor growth, cell proliferation, angiogenesis-related features, circulating metabolic and cytokine levels, and selected tumor-associated signaling proteins were analyzed. Results: HFD feeding was associated with increased circulating free fatty acids, IGF-1, MCP-1, IL-6, and VEGF, together with increased tumor growth, Ki67 staining, and CD31-positive microvessel density. Adipocyte co-culture systems were used to evaluate treatment-associated changes in prostate cancer cell proliferation under adipocyte-associated conditions. Combined modulation with green tea/EGCG, arctigenin, and RS 504393 was associated with greater reductions in adipocyte-associated proliferation, tumor growth, Ki67 staining, and CD31-positive microvessel density than single or dual interventions. Antibody array analysis showed treatment-associated changes in selected stress- and apoptosis-related proteins, including cleaved caspase-7 and phosphorylated Chk1. Conclusions: HFD-associated metabolic and inflammatory alterations, adipocyte-associated interactions, proliferative activity, angiogenesis-related features, and stress/apoptosis-related signaling changes were linked within a tumor-supportive framework in preclinical prostate cancer models. Combined pharmacologic/nutritional modulation was associated with reduced tumor-supportive features under HFD conditions. Further mechanistic and translational validation is needed.

Arctigenin (Arc), a novel anti-inflammatory lignan derived primarily from Arctium lappa, has demonstrated promising anticancer activity in multiple cancer types. This study was designed to evaluate the anticancer efficacy of Arc across distinct molecular subtypes of breast cancer in vitro and in vivo and to gain mechanistic insights into its mode of action. In vitro evaluation was conducted in estrogen-receptor-positive MCF-7, human epidermal growth factor receptor 2 (HER2)-positive SKBR3, and triple-negative MDA-MB-231 breast cancer cell lines. In vivo efficacy and safety were evaluated using female severe combined immunodeficient (SCID) mice (5–7 weeks old) bearing MCF-7 or MDA-MB-231 xenografts. Mice received daily oral gavage of Arc at 50 mg/kg body weight for 8 weeks. In vitro, Arc inhibited cell proliferation across all three breast cancer subtypes in a dose-dependent manner. PCR-array analysis of gene expression revealed that Arc targets multiple signaling molecules involved in cell proliferation, cell cycle regulation, apoptosis, migration/invasion, and drug transport, demonstrating a subtype-specific target profile. Arc induced cell-cycle arrest at the G2/M phase in MCF-7 cells and at G0/G1 in MDA-MB-231 cells, accompanied by significant induction of apoptosis in both cell lines. Migration assays further demonstrated marked inhibition of wound closure in Arc-treated cells. In vivo, Arc treatment significantly inhibited tumor growth in both xenograft models, decreased Ki67 expression, and produced no overt toxicity. In summary, Arc exhibits potent anticancer activity against distinct breast cancer subtypes through multi-targeting mechanisms. Given the heterogeneity of breast cancer, Arc appears to be a promising candidate for further preclinical investigation.

The bioavailability of small-molecule drugs remains a critical challenge in pharmaceutical development, significantly impacting therapeutic efficacy and commercial viability. This review synthesizes recent advances in understanding and overcoming bioavailability limitations, focusing on key physicochemical and biological factors influencing drug absorption and distribution. We examine cutting-edge strategies for enhancing bioavailability, including innovative formulation approaches, rational structural modifications, and the application of artificial intelligence in drug design. The integration of nanotechnology, 3D printing, and stimuli-responsive delivery systems are highlighted as promising avenues for improving drug delivery. We discuss the importance of a holistic, multidisciplinary approach to bioavailability optimization, emphasizing early-stage consideration of ADME properties and the need for patient-centric design. This review also explores emerging technologies such as CRISPR-Cas9-mediated personalization and microbiome modulation for tailored bioavailability enhancement. Finally, we outline future research directions, including advanced predictive modeling, overcoming biological barriers, and addressing the challenges of emerging therapeutic modalities. By elucidating the complex interplay of factors affecting bioavailability, this review aims to guide future efforts in developing more effective and accessible small-molecule therapeutics.

Triple-negative breast cancer (TNBC) lacks estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 expressions, making targeted therapies ineffective. Mesenchymal stem cells (MSCs) have emerged as a promising approach for TNBC treatment by modulating the tumor microenvironment (TME) and interacting with cancer cells. This review aims to comprehensively overview the role of MSCs in TNBC treatment, including their mechanisms of action and application strategies. We analyze the interactions between MSC and TNBC cells, including the impact of MSCs on TNBC cell proliferation, migration, invasion, metastasis, angiogenesis, and drug resistance, along with the signaling pathways and molecular mechanisms involved. We also explore the impact of MSCs on other components of the TME, such as immune and stromal cells, and the underlying mechanisms. The review discusses the application strategies of MSCs in TNBC treatment, including their use as cell or drug carriers and the advantages and limitations of different types and sources of MSCs in terms of safety and efficacy. Finally, we discuss the challenges and prospects of MSCs in TNBC treatment and propose potential solutions or improvement methods. Overall, this review provides valuable insights into the potential of MSCs as a novel therapeutic approach for TNBC treatment.

In recent years, diabetes-associated breast cancer has become a significant clinical challenge. Diabetes is not only a risk factor for breast cancer but also worsens its prognosis. Patients with diabetes usually show hyperglycemia and hyperinsulinemia, which are accompanied by different glucose, protein, and lipid metabolism disorders. Metabolic abnormalities observed in diabetes can induce the occurrence and development of breast cancer. The changes in substrate availability and hormone environment not only create a favorable metabolic environment for tumorigenesis but also induce metabolic reprogramming events required for breast cancer cell transformation. Metabolic reprogramming is the basis for the development, swift proliferation, and survival of cancer cells. Metabolism must also be reprogrammed to support the energy requirements of the biosynthetic processes in cancer cells. In addition, metabolic reprogramming is essential to enable cancer cells to overcome apoptosis signals and promote invasion and metastasis. This review aims to describe the major metabolic changes in diabetes and outline how cancer cells can use cellular metabolic changes to drive abnormal growth and proliferation. We will specifically examine the mechanism of metabolic reprogramming by which diabetes may promote the development of breast cancer, focusing on the role of glucose metabolism, amino acid metabolism, and lipid metabolism in this process and potential therapeutic targets. Although diabetes-associated breast cancer has always been a common health problem, research focused on finding treatments suitable for the specific needs of patients with concurrent conditions is still limited. Most studies are still currently in the pre-clinical stage and mainly focus on reprogramming the glucose metabolism. More research targeting the amino acid and lipid metabolism is needed.

Recent studies have shown that diaporine, a novel fungal metabolic product, has a strong in vitro and in vivo anticancer effect on human non-small-cell lung and breast cancers. In this study, three human hepatocarcinoma cell lines (HepG2, Hep3B, and Huh7) were used to evaluate the efficacy of diaporine alone and in combination with the standard cytotoxic drugs oxaliplatin and doxorubicin for the treatment of liver cancer. We demonstrated that diaporine, oxaliplatin, and doxorubicin triggered a concentration- and time-dependent decrease in the number of HepG2 cells. Diaporine at a concentration of 2.5 μM showed almost 100% inhibition of cell counts at 72 h. Similar effects were observed only with much higher concentrations (100 μM) of oxaliplatin or doxorubicin. Decreases in cell numbers after 48 h treatment with diaporine, oxaliplatin, and doxorubicin were also demonstrated in two additional hepatoma cell lines, Hep3B and Huh7. The combination of these drugs at low concentration for 48 h in vitro noticeably showed that diaporine improved the inhibitory effect on the number of cancer cells induced by oxaliplatin or doxorubicin. Additionally, this combination effectively inhibited colony growth in vitro. We found that inhibition of phosphorylation of ERK1/2 significantly increased when diaporine was used in combination with other agents. In addition, we also found that when diaporine was used in combination with doxorubicin or oxaliplatin, their proapoptotic effect greatly increased. We further revealed that the induction of apoptosis in hepatoma cells after treatment is due, at least in part, to the inhibition of phosphorylation of AKT, leading to the activation of caspase-3, inactivation of poly (ADP-ribose) polymerase (PARP), and subsequently to DNA damage, as indicated by the increased level of H2AX. Based on these findings, we suggest that diaporine in combination with the standard cytotoxic drugs oxaliplatin and doxorubicin may play a role in the treatment of liver cancer.

This meta-analysis was conducted to summarize the association between an N-acetyltransferase 1 (NAT1) gene polymorphism and bladder cancer risk. PubMed® and EMBASE databases were searched to identify studies that examined the effect of the NAT1*10 allele on the risk of bladder cancer. Eleven case–control studies, which included 3311 bladder cancer cases and 3906 control subjects, met the inclusion criteria. The pooled analyses based on all studies showed that there was no significant difference in the NAT1*10 allele between bladder cancer cases and controls (odds ratios [OR] 0.96; 95% confidence interval [CI] 0.81, 1.10). When stratifying for race, the results were similar among Caucasians (OR 0.96; 95% CI 0.81, 1.12) and Asians (OR 0.87; 95% CI 0.48, 1.56). No statistical association was found between the NAT1*10 allele and bladder cancer risk upon stratification for smoking status and study design. This meta-analysis suggests that there was no association between the NAT1*10 allele and bladder cancer risk. Further research should focus on other potentially functional genetic polymorphisms.