Search Results (263)

Protein S-nitrosylation is a selective post-translational modification in which a nitrosyl group is covalently attached to the reactive thiol group of cysteine, forming S-nitrosothiol. This modification plays a pivotal role in modulating physiological and pathological cardiovascular processes by altering protein conformation, activity, stability, and other post-translational modifications. It is instrumental in regulating vascular and myocardial systolic and diastolic functions, vascular endothelial cell and cardiomyocyte apoptosis, and cardiac action potential and repolarization. Aberrant S-nitrosylation levels are implicated in the pathogenesis of various cardiovascular diseases, including systemic hypertension, pulmonary arterial hypertension, atherosclerosis, heart failure, myocardial infarction, arrhythmia, and diabetic cardiomyopathy. Insufficient S-nitrosylation leads to impaired vasodilation and increased vascular resistance, while excessive S-nitrosylation contributes to cardiac hypertrophy and myocardial fibrosis, thereby accelerating ventricular remodeling. This paper reviews the S-nitrosylated proteins in the above-mentioned diseases and their impact on these conditions through various signaling pathways, with the aim of providing a theoretical foundation for the development of novel therapeutic strategies or drugs targeting S-nitrosylated proteins. Full article

Retinal ischemia is implicated in ocular diseases involving aberrant neovessel proliferation that characterizes proliferative retinopathies. Their therapy still remains confined to the intravitreal administration of anti-vascular endothelial growth factor (VEGF) medication, which is limited by side effects and progressive reduction in efficacy. Mimicking neovascular diseases in rodents, although of great help for translating fundamental mechanistic findings and assessing therapeutic potential in humans, is limited by the rodent’s short life span, which prevents retinal vessel proliferation over time. However, the oxygen-induced retinopathy (OIR) model, which mimics retinopathy of prematurity, seems to meet some criteria that are common to proliferative retinopathies. The present review provides insight into preclinical models and their suitability to mimic proliferative retinopathies. Further considerations will be applied to emerging approaches and advanced methodologies for the management of proliferative retinopathies, leading to the identification of new therapeutic targets, including our contribution in the field. Major emphasis is given to the possibility of using systemic therapies either alone or in combination with intravitreal anti-VEGF administration to maximize clinical benefits by combining drugs with different modes of action. This review is concluded by an in-depth discussion on future advancements and a critical view of preclinical finding translatability. Despite the major effort of preclinical and clinical research to develop novel therapies, the blockade of VEGF activity still remains the only treatment for proliferative retinopathies for more than twenty years since its first therapeutic application. Full article

Psoriasis is a chronic, immune-mediated inflammatory skin disease with complex genetic, environmental, and immunological determinants. Beyond the skin, it affects multiple systems, including the joints and cardiovascular system. A hallmark of psoriasis is an overactivation of the innate and adaptive immune responses, leading to dysregulated cytokine signaling, altered keratinocyte function, and aberrant expression of structural and regulatory proteins. In recent years, growing attention has been given to the skin as a neuro–immuno–endocrine organ, with evidence showing the role of stress-related neuropeptides, UVB-induced immune modulation, and vitamin D signaling in the disease pathogenesis. This review highlights emerging evidence on key multifunctional proteins—elafin, chemerin, and NAMPT (visfatin)—that exert both pro- and anti-inflammatory actions. Although still underexplored, these molecules appear to contribute significantly to the psoriatic microenvironment by modulating inflammation, immunity, and skin barrier function. Their dual roles suggest complex interactions within the cutaneous immune–neuroendocrine network, positioning them as potential biomarkers or therapeutic targets in psoriasis. By integrating insights into classical and emerging mediators, this review aims to provide a comprehensive perspective on the evolving landscape of psoriasis pathophysiology. Full article

Aberrant or non-standard operations by ship drivers are a leading cause of water traffic accidents, making the development of real-time and reliable behavior detection systems critically important. However, the environment within a ship’s bridge is significantly more complex than typical scenarios, such as vehicle driving or general security monitoring, which results in poor performance when applying generic algorithms. In such settings, both the accuracy and efficiency of existing methods are notably limited. To address these challenges, this paper proposes a cross-modal behavioral intelligence framework designed specifically for a ship’s bridge, integrating multi-target tracking, behavior recognition, and feature object association. The framework employs ByteTrack, a high-performance multi-object tracker that maintains stable tracking even when subject to occlusions or motion blur through its novel association mechanism, using both high and low confidence detection boxes, for multi-driver tracking. Combined with an improved Temporal Shift Module (TSM) algorithm for behavior recognition, which effectively resolves issues concerning target association and action ambiguity in complex environments, the proposed framework achieves a Top-1 accuracy of 82.1%, based on the SCA dataset. Furthermore, the method incorporates a multi-modal decision optimization strategy, based on spatiotemporal correlation rules, leveraging YOLOv7-e6 for simultaneous personnel and small object detection, and introduces the Accuracy of Focused Anomaly Recognition (AFAR) metric to enhance the anomaly detection performance. This approach improves the anomaly detection rate, up to 81.37%, with an overall accuracy of 80.66%, significantly outperforming single-modality solutions. Full article

Insulin resistance is a condition wherein cells fail to adequately respond to insulin. It is a prevalent medical condition associated with several diseases, such as type 2 diabetes mellitus, metabolic syndrome, hypertension, obesity, and polycystic ovary syndrome. Insulin resistance may be involved in metabolic disturbances, such as hyperglycemia, hyperinsulinemia, dyslipidemia, hyperuricemia, endothelial dysfunction, elevated inflammatory markers, and a prothrombotic state. Severe insulin resistance syndromes are a heterogeneous group of rare disorders. These disorders are characterized by profound insulin resistance, substantial metabolic abnormalities, and different clinical manifestations and complications. They may be hereditary or acquired, caused by defects in insulin action and cellular responsiveness to insulin. Severe insulin resistance syndromes may also be due to aberrations in adipose tissue function and development. The majority of these disorders are associated with an increased risk of severe complications and mortality. This review aims to summarize the current knowledge on the epidemiology, pathophysiology, complications and prognosis of severe insulin resistance syndromes, as well as to categorize these syndromes by disease process, including defects in insulin receptor, intracellular insulin signaling defects, lipodystrophies, etc. Full article

Background: We reviewed outcomes of short and long-term chemotherapy with or without breaks in pancreatic ductal adenocarcinoma (PDAC) patients. Methods: PDAC patients receiving ≥3 chemotherapy cycles between 2019 and 2024 at three institutions were included. Progression-free survival after first-line chemotherapy (PFS1), overall survival (OS) and best overall response (BOR) to chemotherapy were assessed using the Wilcoxon test, Kaplan–Meier test, and univariate and multivariate Cox regression models. Results: We screened 237 patients, and 135 patients met the study criteria. Among these patients, 25 had resectable disease, and 110 had unresectable/metastatic disease (13% borderline resectable (BRPC), 20% locally advanced (LAPC), 10% localised developing metastases, 57% de novo metastatic). Ten patients (7%) underwent genetic profiling; KRAS aberrations (N = 4), actionable PLAB2/BRCA2/FGFR2 mutations (N = 3), ATM/BRIP1 alteration (N = 1). Two patients were managed with PARP inhibitors after receiving multiple lines of chemotherapy. Median PFS1 and OS were concordant with the published literature, but select patient groups achieved prolonged survival outcomes. Among the 36 BRPC/LAPC patients, we observed >1-year PFS1 in 9 (25%) patients and >2-year OS in 3 (8%) patients. Among the 63 de novo metastatic patients, we observed >1-year PFS1 and >2-year OS in 6 (10%) patients. Among patients with localised disease, smoking history was a poor prognostic factor with respect to OS (p = 0.03). Improved PFS1 and OS was associated with ≥6 cycles of first-line chemotherapy, its duration of ≥3.66 months, and local treatment after first chemotherapy (p < 0.05 for all). Stereotactic body radiotherapy following first-line chemotherapy was delivered in N = 6 (27%) and N = 1 (7%) of patients with LAPC and BRPC, respectively. Chemotherapy interruption duration, but not number, was associated with PFS1 and OS only in the localised cohort (p < 0.05). In patients with de novo metastatic disease, prevalence of type 2 diabetes was adversely associated with OS (p = 0.03). Improved PFS and OS was associated with ≥6 cycles of first-line chemotherapy, its duration of ≥4.37 months, and BOR to it (only in this cohort) (p < 0.05 for all). A favourable OS was associated with >1 line of chemotherapy (p = 0.003). Conclusion: Despite challenges, extended chemotherapy and multiple treatment lines may improve survival, with localised treatments benefiting select patients. Full article

The incidence of morbidity and mortality in patients who have suffered traumatic brain injury (TBI) is such that novel therapeutic strategies are currently required. There is good evidence that ischaemia is the primary, and sometimes the secondary, cause of brain damage in TBI. This ischaemia may lead to mitochondrial dysfunction, with associated oxidative stress and inflammation, in the pathogenesis of brain injury following head trauma. This, in turn, provides a rationale for the use of supplemental coenzyme Q10 (CoQ10) in the management of TBI, given its key roles in normal mitochondrial function and as an antioxidant and anti-inflammatory agent. In this article, we, therefore, review the use of supplemental CoQ10 in animal models of TBI and its potential application in the management of TBI patients. The problem of blood–brain barrier access is discussed, and how this might be circumvented via the use of an intranasal route to provide direct access of CoQ10 to the brain. In addition, there is evidence that TBI patients have an increased risk of developing cardiac dysfunction and that this may be mediated by aberrant immune action. Given the role of CoQ10 in promoting normal cardiac function and normal immune function, the administration of CoQ10 to prevent cardiovascular complications may improve outcomes in TBI patients. Full article

Myocardial infarction (MI) is characterized by the sudden reduction in myocardial blood flow and remains the leading cause of death worldwide. Because MI causes irreversible damage to the heart, discovering drugs that can limit the extent of ischemic damage is crucial. Liensinine (LSN) is a natural alkaloid that has exhibited beneficial effects in various cardiovascular diseases, including MI; however, its molecular mechanisms of action remain largely unelucidated. In this study, we constructed murine models of MI to examine the potential beneficial effects and mechanisms of LSN in myocardial ischemic injury. Murine models of MI in wild-type and cardiomyocyte-specific β-catenin knockout mice were used to explore the role of LSN and Wnt/β-catenin signaling in MI-induced cardiac injuries and inflammatory responses. The administration of LSN markedly improved cardiac function and decreased the extent of ischemic damage and infarct size following MI. LSN not only prevented excessive inflammatory responses but also inhibited the aberrant activation of Wnt/β-catenin signaling, two factors that are critically involved in the exacerbation of MI-induced injury. Our findings provide important new mechanistic insight into the beneficial effect of LSN in MI-induced cardiac injury and suggest the therapeutic potential of LSN as a novel drug in the treatment of MI. Full article

SHP2, a non-receptor protein tyrosine phosphatase, plays a pivotal role in regulating intracellular signaling pathways, particularly the RAS/MAPK and PI3K/AKT cascades, which are critical for cellular proliferation, differentiation, and survival. Aberrant SHP2 activity, often driven by gain-of-function mutations, is implicated in oncogenesis and drug resistance, making it an attractive therapeutic target. Traditional inhibitors targeting SHP2’s catalytic site face limitations such as poor selectivity and low bioavailability. Recent advancements in allosteric inhibitors, specifically targeting SHP2’s tunnel site, offer improved specificity and pharmacokinetics. Natural products, especially saponins with their unique structural diversity, have emerged as promising candidates for SHP2 inhibition. This review explores the structural and functional dynamics of SHP2, highlights the potential of saponin-based inhibitors, and discusses their mechanisms of action, including their interactions with key residues in the tunnel site. The therapeutic potential of saponins is further emphasized by their ability to overcome the limitations of catalytic inhibitors and their applicability in combination therapies. Future directions include structural optimization to improve pharmacokinetics and the development of innovative strategies such as PROTACs to enhance the clinical utility of saponin-based SHP2 inhibitors. Full article

Janus kinase 2 (JAK2) is an important intracellular mediator of cytokine signaling. Mutations in the JAK2 gene are associated with myeloproliferative neoplasms (MPNs) such as polycythemia vera (PV) and essential thrombocythemia (ET), while aberrant JAK2 activity is also associated with a number of immune diseases. The acquired somatic mutation JAK2 V617F (95% of cases of PV and in 55–60% of cases of ET), which constitutively activates the JAK2, is the most common molecular event in MPN. The development of specific JAK2 inhibitors is therefore of considerable clinical importance. Ruxolitinib is a JAK inhibitor recently approved by the FDA/EMA and effective in relieving symptoms in patients with MPN. Ruxolitinib binds to the JAK2 last domain, namely JH1; its action on the dynamics of the domain is still only partially known. Using Molecular Dynamics simulations, we have analyzed the JH1 domain in four different states as follows: (i) alone, (ii) with one phosphorylation, (iii) adding Ruxolitinib, and (iv) with five phosphorylations and Ruxolitinib. The ligand induces a dynamic behavior similar to the inactive form of JH1, with a less flexible state than the phosphorylated active form of JH1. This study highlights the inhibitory effect of Ruxolitinib on the JH1 domain, demonstrating the importance of dynamics in regulating JH1 activation. Full article

HOX genes, a family of conserved transcription factors, are critical for reproductive tract development and endometrial functionality. This review highlights the molecular underpinnings of HOXA10/HOXA11 in reproductive health and their dysregulation in benign pathologies associated with infertility, such as endometriosis, adenomyosis, and endometrial polyps. These genes are dynamically regulated by estrogen and progesterone, with peak expression during the secretory phase of the menstrual cycle when implantation takes place. The molecular mechanisms underlying their action include the modulation of extracellular matrix (ECM) remodeling via metalloproteinases, cytokines like leukemia inhibitory factor, and cell adhesion molecules such as β3-integrin, all of which are essential for the differentiation of epithelial and stromal cells, as well as for trophoblast invasion. Aberrant HOX gene expression, driven by DNA hypermethylation or altered histone acetylation, compromises endometrial receptivity and implantation. For instance, reduced HOXA10 expression in endometriosis stems from hypermethylation and chronic inflammation, disrupting immune modulation and cytokine signaling. Similarly, adenomyosis alters HOXA11-regulated ECM remodeling and β3-integrin expression, impairing embryo attachment. Furthermore, regulatory pathways involving vitamin D and retinoic acid offer promising therapeutic avenues pathways, as they enhance HOXA10/HOXA11 expression and endometrial receptivity. This review underscores the critical molecular roles of HOXA10/HOXA11 genes as biomarkers and therapeutic targets to optimize fertility outcomes and address reproductive pathologies. Full article

The wavefront aberrations (WAs) of a laser beam produced by an optical parametric oscillator (OPO) have been measured using a Hartmann–Shack sensor. The OPO tuning operation requires changes in the device that might affect the shape of the wavefront beam as the illumination wavelength is being modified. Different output wavelengths in the range 550–850 nm were systematically analyzed in terms of WAs. The WA laser beam was fairly stable with time (changes of about 1%), independently of the wavelength. Moreover, WAs were non-negligible and nearly constant between 600 and 800 nm, but they noticeably increased for 550 (~90%) and 850 nm (~50%), mainly due to a higher astigmatism influence. The contributions of other higher-order terms such as coma and spherical aberration also present particular spectral dependences. To our knowledge, this is the first report of a spectral OPO laser beam characterization in terms of optical aberrations. It addresses a gap in OPO laser characterization of WAs and offers actionable insights for multi-wavelength applications. These results might be useful in applications ranging from micromachining procedures to biomedical imaging, where an optimized focal spot is required to increase the efficiency of certain physical phenomena or to enhance the quality of the acquired images. Full article

Rationale: The role of the innate immune system in idiopathic pulmonary fibrosis (IPF) remains poorly understood. However, a functional myeloid compartment is required to remove dying cells and cellular debris, as well as to mediate innate immune responses against pathogens. Aberrant macrophage activity has been described in patients with post-acute sequelae of COVID fibrosis (PASC-F), and caveolin scaffolding domain (CSD) peptides have been found to attenuate inflammation and fibrosis in mouse lung injury models. Therefore, we examined, for the first time, the effects of CSD peptide LTI-2355 on the functional and synthetic properties of human myeloid cells isolated from lung explant tissue of donor lungs as well as IPF and PASC-F lung explant tissue. Methods and Results: CD45⁺ myeloid cells isolated from lung explant tissue from IPF and PASC-F patients exhibited an impaired capacity to clear autologous dead cells and cellular debris. The uptake of pathogen-coated bioparticles was impaired in myeloid cells from both fibrotic patient groups independent of the type of pathogen, highlighting an intrinsic functional cell impairment. LTI-2355 improved the phagocytic activity of both IPF and PASC-F myeloid cells, and this improvement was paired with decreased proinflammatory and pro-fibrotic synthetic activity. LTI-2355 was also shown to primarily target CD206-expressing IPF and PASC-F myeloid cells. Conclusions: Primary myeloid cells from IPF and PASC-F patients exhibit dysfunctional phagocytic and synthetic properties that are modulated by LTI-2355. LTI-2355 treatment of IPF myeloid cells resulted in significantly reduced sCD163, IFN-α2, IFN-γ, IL-2, IL-10, IL-12p40, and MMP-1 in the cell supernatant. This study highlights an additional mechanism of action of the CSD peptide in the treatment of IPF and progressive fibrotic lung disease. Full article

Background: Chronic-Phase Chronic Myeloid Leukemia (C-PCML) is defined by the presence of the BCR-ABL1 fusion gene, which encodes a tyrosine kinase protein that drives the uncontrolled proliferation and survival of leukemic stem cells (LSCs). Nilotinib, a tyrosine kinase inhibitor, targets the activity of BCR-ABL1 by reducing aberrant signaling pathways, which drive the regeneration of LSCs. Despite nilotinib’s action, a population of resilient LSCs persist in the bone marrow (BM) and can indeed drive relapse and progression in CML patients. Methods: Our study investigated the gene expression profiling (GEP) of BM CD34+/lin− cells from 79 CP-CML patients at diagnosis, compared to the BM CD34+/lin− cells from the same patients after 12 months of nilotinib treatment and to the normal counterpart cells from 10 donors (CTRLs). Results: GEP analyses identified 3012 significantly differentially expressed genes across these comparisons. Among these, we focused on certain key genes associated with eight crucial KEGG pathways: CML, cell cycle, JAK-STAT, PI3K-Akt, MAPK, Ras, NF-kB, and ABC transporters. Within these pathways, we observed the up-regulation of several genes at diagnosis compared to both 12 months of nilotinib treatment and the CTRLs. Conclusions: We observed that certain transcriptome features present at diagnosis persisted after 12 months of nilotinib treatment, compared to CTRLs. This suggests that nilotinib may exert selective pressure, potentially supporting the survival and self-renewal of LSCs. Future insights into these pathways could help identify therapeutic targets to improve outcomes in CML. Full article

Background: Tumor cells engage in continuous self-replication by utilizing a large number of resources and capabilities, typically within an aberrant metabolic regulatory network to meet their own demands. This metabolic dysregulation leads to the formation of the tumor microenvironment (TME) in most solid tumors. Nanomedicines, due to their unique physicochemical properties, can achieve passive targeting in certain solid tumors through the enhanced permeability and retention (EPR) effect, or active targeting through deliberate design optimization, resulting in accumulation within the TME. The use of nanomedicines to target critical metabolic pathways in tumors holds significant promise. However, the design of nanomedicines requires the careful selection of relevant drugs and materials, taking into account multiple factors. The traditional trial-and-error process is relatively inefficient. Artificial intelligence (AI) can integrate big data to evaluate the accumulation and delivery efficiency of nanomedicines, thereby assisting in the design of nanodrugs. Methods: We have conducted a detailed review of key papers from databases, such as ScienceDirect, Scopus, Wiley, Web of Science, and PubMed, focusing on tumor metabolic reprogramming, the mechanisms of action of nanomedicines, the development of nanomedicines targeting tumor metabolism, and the application of AI in empowering nanomedicines. We have integrated the relevant content to present the current status of research on nanomedicines targeting tumor metabolism and potential future directions in this field. Results: Nanomedicines possess excellent TME targeting properties, which can be utilized to disrupt key metabolic pathways in tumor cells, including glycolysis, lipid metabolism, amino acid metabolism, and nucleotide metabolism. This disruption leads to the selective killing of tumor cells and disturbance of the TME. Extensive research has demonstrated that AI-driven methodologies have revolutionized nanomedicine development, while concurrently enabling the precise identification of critical molecular regulators involved in oncogenic metabolic reprogramming pathways, thereby catalyzing transformative innovations in targeted cancer therapeutics. Conclusions: The development of nanomedicines targeting tumor metabolic pathways holds great promise. Additionally, AI will accelerate the discovery of metabolism-related targets, empower the design and optimization of nanomedicines, and help minimize their toxicity, thereby providing a new paradigm for future nanomedicine development. Full article