Experimental Biology and Medicine最新文献

Keratin 6A (KRT6A) is an epithelial-specific type II keratin localized within cytoskeletal intermediate filaments and functions in cooperation with KRT16/17 to maintain epidermal homeostasis and tissue repair. Accumulating evidence highlights its multifaceted roles in cancer. Aberrant KRT6A expression promotes cell cycle progression, epithelial-mesenchymal transition, migration, and invasion, thereby driving tumor initiation and metastasis, although tumor-suppressive effects have been observed in specific contexts. Mechanistically, KRT6A regulates adhesion, cytoskeletal remodeling, and critical signaling pathways, thereby reshaping tumor immunity and metabolism to facilitate immune evasion and metabolic dysregulation. Elevated KRT6A expression is strongly associated with resistance to chemotherapy, targeted therapy, and radiotherapy. Therapeutic approaches targeting KRT6A include nucleic acid-based interventions, protein degradation strategies, inhibition of upstream regulatory pathways, and combinatorial regimens to overcome drug resistance. Clinically, KRT6A has emerged as both a diagnostic and prognostic biomarker, supporting treatment monitoring and enhancing predictive models for risk stratification and individualized outcome evaluation. Beyond oncology, mutations in KRT6A underlie pachyonychia congenita, and its dysregulation contributes to epidermal hyperproliferative disorders such as psoriasis. Overall, systematic elucidation of the structure-function-pathway-clinical axis of KRT6A offers new opportunities for precision medicine and supports its potential as a therapeutic target in cancer management.

ALI/ARDS are clinical syndromes with diverse etiological origins and are characterized by high mortality rates and a lack of specific therapeutic options. Garlic oil (GO) has been utilized in both culinary and medicinal applications for millennia. However, its complex chemical composition and inherent instability have limited further development and clinical application. We aimed to encapsulate GO within liposomes to increase its solubility and stability. The therapeutic efficacy of GO-loaded liposomes (GO-lips) against LPS-induced ALI was subsequently evaluated in vivo. A novel GO-lip formulation was developed, and its preparation process was optimized to ensure its stability and bioavailability. A murine model of LPS-induced ALI was established. The animals were randomly assigned to the normal control, LPS model, GO treatment, or GO-lip treatment group. Therapeutic outcomes were evaluated by lung tissue histopathology, inflammatory cytokine quantification and oxidative stress biomarker measurement. PCR and molecular dynamics simulations were used to verify the ALI treatment-related pathways influenced by GO-lips. We successfully developed GO-lips using a novel fabrication method. GO-lips demonstrated favorable physicochemical characteristics, with a mean particle diameter of 175 ± 3 nm, a PDI of 0.27 ± 0.02, and an encapsulation efficiency of 70.74 ± 2.11%. Compared with the LPS model group, the GO-lip treatment group exhibited significant protection against LPS-induced ALI. GO-lips demonstrated greater efficacy than free GO, as evidenced by the improved lung histopathology, reduced pulmonary edema, decreased inflammatory responses, and attenuated oxidative stress. PCR analysis demonstrated that GO-lips significantly protect mice primarily via Nrf2 pathway activation. These findings suggest that liposomal encapsulation of GO increases its anti-inflammatory and antioxidant activities, protecting against LPS-induced ALI. This research offers a novel clinical therapeutic approach for ALI and contributes to foundational knowledge supporting the development and utilization of GO-derived formulations.

Age-related macular degeneration (AMD) represents a leading cause of irreversible blindness among the older persons. Characterized by a complex pathogenesis and multiple risk factors, AMD poses substantial challenges for treatment and has emerged as a significant public health concern. The gut microbiota constitutes a vast and dynamically evolving ecosystem, with a healthy microbial community playing an essential role in maintaining host homeostasis through its involvement in digestion and immune defense. However, alterations in microbial composition or function can compromise intestinal barrier integrity, trigger systemic inflammation, and contribute to disease pathogenesis. Evidence now underscores the influence of gut microbiota on the development and progression of AMD. This review examines the mechanisms by which gut microbes may contribute to AMD pathogenesis and evaluates the therapeutic potential of interventions targeting the gut microbiome-including dietary modifications, Pharmacological and Biological Agents, probiotics, prebiotics, and fecal microbiota transplantation-for AMD management.

N6-methyladenosine (m6A) RNA methylation regulators have been implicated in colorectal cancer (CRC) progression. However, systematic evaluation using multiple machine learning approaches for prognostic prediction remains limited. This study aimed to develop and validate machine learning models for CRC prognosis based on m6A regulators and assess their potential for immunotherapy response prediction. We analyzed 1,047 CRC patients from TCGA and GEO databases (70% training, 30% validation). Twenty machine learning algorithms were systematically evaluated, with LASSO regression selecting optimal features from 27 m6A regulators. SHAP analysis provided model interpretability. Immune microenvironment characterization and immunotherapy response prediction were performed using established computational methods. LASSO regression selected eight m6A regulators (IGF2BP2, METTL3, HNRNPA2B1, METTL14, YTHDF2, VIRMA, FTO, ALKBH5) for model construction. Among 20 algorithms tested, Random Forest achieved optimal performance (training AUC = 0.895, validation AUC = 0.847). SHAP analysis identified IGF2BP2 (mean |SHAP| = 0.42) and METTL3 (mean |SHAP| = 0.36) as primary contributors to risk prediction. Risk stratification showed significant survival differences (HR = 2.41, 95% CI: 1.73-3.36, p < 0.001). Low-risk patients demonstrated enhanced immune infiltration with higher CD8⁺ T cells (17.8% vs. 10.2%, p < 0.001) and better predicted immunotherapy response rates (36.5% vs. 20.3%, p = 0.006). Our systematic machine learning analysis demonstrates that m6A regulators can effectively predict CRC prognosis and immunotherapy response. The eight-gene signature provides a practical tool for clinical risk assessment and treatment decision-making.

Even with the development of the Pfizer-BioNTech BNT162b2 vaccine, which provides protection against COVID-19 and demonstrates high efficacy in generating immune responses, the complexities of the dynamics linking pro- and anti-inflammatory cytokine profiles with anti-spike IgG production remain unclear. The study aims to elucidate these immune dynamics after vaccination. This prospective cohort research was done at the University of Diyala from January 2022 to January 2023, evaluating the immunological response to the Pfizer-BNT162b2 mRNA vaccine in 180 healthy students. Pro- and anti-inflammatory cytokines and anti-spike IgG antibodies were measured before vaccination, 1 month after the second dose, and 4 months after the second dose. Biomarkers were analyzed via ELISA and CRP assays. The study involved 180 healthy participants (80 males, 100 females; median age, 21 years; BMI, 25.7 kg/m²). After the first Pfizer-BNT162b2 vaccine dose, the level of anti-spike IgG increased by 330-fold, and the levels of pro- and anti-inflammatory markers, such as IL-1β, IL-10, and CRP, increased significantly. Four months after the second dose, anti-spike IgG levels were 136-fold above baseline. Significant correlations emerged between cytokine and IgG levels, with anti-spike IgG/IL-10 ratios elevated and sustained over the long term. Pfizer-BNT162b2 vaccine elicits a significant immune response associated with changes in pro-inflammatory cytokines, and the interaction between these cytokines and anti-spike IgG suggests a potential role for immune regulation in enhancing humoral immunity. Based on these findings, the IgG/IL-17 ratio may serve as a viable exploratory biomarker for assessing short- and medium-term vaccination efficacy.

Although multiple studies have confirmed the importance of chronic low-grade inflammation in the development of osteoarthritis (OA), the association between complete blood count (CBC)-derived inflammatory indicators and osteoarthritis prevalence remains unclear. The present study aims to explore the association between CBC-derived inflammatory indicators and OA prevalence. We used NHANES data from 2007 to 2020 for a cross-sectional analysis. Multivariate logistic regression models were used to evaluate the association between CBC-derived inflammatory indicators and OA prevalence. Restricted cubic spline function (RCS) and threshold analysis were used to assess potential nonlinear associations. In addition, subgroup and sensitivity analyses were performed to assess the stability of the results. Finally, we used LASSO regression to identify the variables most associated with OA outcomes to construct a prediction model, and the model's validity was verified. Among the 24,112 patients in this study, 3,195 were diagnosed with OA. In the adjusted model, multivariate logistic regression analysis showed that 5 inflammatory indicators (SII, SIRI, MLR, NMLR, NLR) were positively associated with OA prevalence. RCS and threshold analysis showed nonlinear associations between (SII, NMLR, NLR) and OA prevalence. After variable screening, we established an OA risk prediction model with an area under the curve (AUC) of 0.735 (95% CI: 0.726-0.744). Both the decision and calibration curve showed that the model had good clinical significance. The Present study suggests that CBC-derived inflammatory indicators are statistically associated with OA prevalence. Furthermore, MLR and NMLR could be valuable predictors of OA and offer novel perspectives on its assessment and treatment.

Keratoconus is a corneal ectasia whose pathophysiological mechanisms, including biomolecular alterations and genetic influences, remain poorly understood. Recent studies have shown altered cytokine levels, increased proteinase activity, and other potential mediators in the tear film and corneal tissue, highlighting a possible involvement of inflammatory pathways in the pathophysiology of keratoconus. This observational study aims to characterize the tear proteome of keratoconus patients and compare it to a control group, reporting potential disease biomarkers in the tear film. 23 keratoconus patients were selected at the Cornea and External Diseases Outpatient Clinic of the Clinics Hospital of UNICAMP. The control group consisted of 17 age- and sex-matched participants. All study subjects underwent corneal tomography (Pentacam). Tear film samples were collected and sent for proteomic evaluation by mass spectrometry at the National Biosciences Laboratory (LNBio). After quantification, univariate and multivariate statistical analyses were performed. A total of 353 proteins were identified and quantified, of which 25 showed statistical differences in the univariate analysis (t-test), and 19 were selected in the multivariate analysis (PLS-DA). There was an overlap of 7 proteins identified in both uni- and multivariate analyses: chitinase-3-like protein 2, prosaposin, zymogen granule protein 16 homolog B, procollagen-lysine,2-oxoglutarate 5-dioxygenase 1, secretoglobin family 1D member 1, albumin, and Ig kappa chain V-I region. Thirty-seven proteins showed statistically significant variation between the keratoconus and control groups. Proteomic analysis revealed differentially expressed proteins in the tear film of keratoconus patients. We report the identified proteomic profile, which includes potential biomarkers that may help elucidate the disease's pathophysiology.

Abdominal aortic aneurysm (AAA) is a life-threatening condition with no effective pharmacological treatments, underscoring the critical need to identify novel therapeutic targets. Emerging translational and clinical evidence implicates neutrophil extracellular traps (NETs) as potential drivers of AAA pathogenesis. This review systematically delineates the mechanisms by which NETs contribute to aortic wall degradation, focusing on their direct cytotoxicity to vascular smooth muscle cells (VSMCs), induction of VSMC phenotypic switching and ferroptosis, amplification of inflammatory cascades, and propagation of thromboinflammation. Key mediators include PAD4, IL-1β, PI3Kγ, neutrophil elastase, myeloperoxidase, and mitochondrial DNA. NET components (citrullinated histone H3, cell-free DNA, neutrophil elastase) serve as promising diagnostic and prognostic biomarkers. Preclinical studies highlight the efficacy of NET-targeting strategies, including inhibiting NET formation, degrading existing NETs, neutralizing cytotoxic components, and modulating downstream pathways (e.g., with ferroptosis inhibitors). Nanotechnology platforms enhance site-specific delivery of these agents. By integrating the research background with its practical implications, we conclude that targeting NETs represents a promising paradigm shift. Despite translational challenges, this approach offers a rational framework for developing the first pharmacotherapies aimed at stabilizing AAA and addressing a major unmet clinical need.

Acute lung injury (ALI) is a disease with an excessive inflammatory response triggered by activating the NF-κB signaling pathway. Our study aims to investigate the role of the long non-coding RNA HOTAIR in ALI-associated hyperinflammation, providing evidence for HOTAIR as a potential therapeutic target for ALI. Here, we examined the contribution of HOTAIR to LPS-induced lung injury using both A549 cell and murine models. LPS stimulation markedly increased HOTAIR expression in A549 cells, accompanied by reduced cell viability and elevated secretion of pro-inflammatory cytokines, including IL-1β, IL-6, and TNF-α. Overexpression of HOTAIR further amplified NF-κB signaling, as indicated by increased phosphorylation of IκBα and p65 and enhanced nuclear translocation of p65, whereas silencing HOTAIR effectively reversed these effects. In vivo, knockdown of HOTAIR significantly mitigated LPS-induced lung injury, reduced inflammatory cytokine production, and suppressed NF-κB activation in mice. Our findings reveal the contribution of HOTAIR to NF-κB-driven inflammatory injury in ALI, offering insight into its regulatory role and informing future exploration of targeted therapeutic approaches.

Natural killer (NK) cells represent a fundamental component of the innate immune system, endowed with the ability to identify and eradicate virus-infected and malignant cells. The advent of chimeric antigen receptor (CAR) technology has introduced innovative strategies for augmenting the antitumor potential of natural killer (NK) cells. Chimeric antigen receptor natural killer (CAR-NK) cells exert dual cytotoxic effects against tumor cells through CAR-mediated antigen-specific recognition in concert with the nonspecific cytolytic activity mediated by intrinsic NK receptors. This review critically evaluates the clinical progression of CAR-NK cells specifically against solid tumors, focusing on mechanisms to overcome the immunosuppressive tumor microenvironment (TME), the complexity of allogeneic manufacturing, and the latest engineering strategies for enhanced homing and persistence. Specifically, we emphasize the urgent need for robust Phase II/III clinical data and standardized Good Manufacturing Practice (GMP) protocols to realize the full potential of off-the-shelf allogeneic CAR-NK therapies. Additionally, we examine technological advancements and emerging directions addressing persistent challenges in this domain to offer theoretical underpinnings and research perspectives for the clinical deployment of CAR-NK cell therapy in solid tumor management.