Related Drugs Research Articles

Brain age prediction using interpretable multi-feature-based convolutional neural network in mild traumatic brain injury

BackgroundConvolutional neural network (CNN) can capture the structural features changes of brain aging based on MRI, thus predict brain age in healthy individuals accurately. However, most studies use single feature to predict brain age in healthy individuals, ignoring adding information from multiple sources and the changes in brain aging patterns after mild traumatic brain injury (mTBI) were still unclear. MethodsHere, we leveraged the structural data from a large, heterogeneous dataset (N = 1464) to implement an interpretable 3D combined CNN model for brain-age prediction. In addition, we also built an atlas-based occlusion analysis scheme with a fine-grained human Brainnetome Atlas to reveal the age-sstratified contributed brain regions for brain-age prediction in healthy controls (HCs) and mTBI patients. The correlations between brain predicted age gaps (brain-PAG) following mTBI and individual's cognitive impairment, as well as the level of plasma neurofilament light were also examined. ResultsOur model utilized multiple 3D features derived from T1w data as inputs, and reduced the mean absolute error (MAE) of age prediction to 3.08 years and improved Pearson's r to 0.97 on 154 HCs. The strong generalizability of our model was also validated across different centers. Regions contributing the most significantly to brain age prediction were the caudate and thalamus for HCs and patients with mTBI, and the contributive regions were mostly located in the subcortical areas throughout the adult lifespan. The left hemisphere was confirmed to contribute more in brain age prediction throughout the adult lifespan. Our research showed that brain-PAG in mTBI patients was significantly higher than that in HCs in both acute and chronic phases. The increased brain-PAG in mTBI patients was also highly correlated with cognitive impairment and a higher level of plasma neurofilament light, a marker of neurodegeneration. The higher brain-PAG and its correlation with severe cognitive impairment showed a longitudinal and persistent nature in patients with follow-up examinations. ConclusionWe proposed an interpretable deep learning framework on a relatively large dataset to accurately predict brain age in both healthy individuals and mTBI patients. The interpretable analysis revealed that the caudate and thalamus became the most contributive role across the adult lifespan in both HCs and patients with mTBI. The left hemisphere contributed significantly to brain age prediction may enlighten us to be concerned about the lateralization of brain abnormality in neurological diseases in the future. The proposed interpretable deep learning framework might also provide hope for testing the performance of related drugs and treatments in the future.

Optimization of lyoprotectant for recombinant human acidic fibroblast growth factor by response surface methodology

Recombinant human acidic fibroblast growth factor (rh-aFGF) is a widely used biological product, but it is unstable and its biological activity is easy to decrease. In order to maintain the long-term stability and biological activity of rh-aFGF, based on the response surface method, the freeze-drying characterization and cell proliferation rate of rh-aFGF freeze-dried powder were evaluated by scoring and Methylthiazolyldiphenyl-tetrazolium bromide (MTT) assay in this study. The optimal concentrations of trehalose, glycine and BSA were optimized, and the optimal formulation was verified by regression experiment. The results showed that trehalose, glycine and BSA had significant effects on the characterization of lyophilized rh-aFGF and cell proliferation. The optimal formulation of 5.7% trehalose, 2.04% glycine and 1.98%BSA combined with rh-aFGF could achieve the optimal freeze-dried characterization and biological activity. Using the best formulation to verify, the freeze-dried formability index of the freeze-dried powder was 23.35, and the rate of cell proliferation was 43.59%, which was close to the expected 23 and 41.69%. This study determined a freeze-dried formulation of rh-aFGF that meets the requirements of freeze-dried formalization integrity and maintains biological activity, providing reliable support for the subsequent development of related drugs.

Platinum nanowires/MXene nanosheets/porous carbon ternary nanocomposites for in situ monitoring of dopamine released from neuronal cells

Dopamine is an important neurotransmitter in the body and closely related to many neurodegenerative diseases. Therefore, the detection of dopamine is of great significance for the diagnosis and treatment of diseases, screening of drugs and unraveling of relevant pathogenic mechanisms. However, the low concentration of dopamine in the body and the complexity of the matrix make the accurate detection of dopamine challenging. Herein, an electrochemical sensor is constructed based on ternary nanocomposites consisting of one-dimensional Pt nanowires, two-dimensional MXene nanosheets, and three-dimensional porous carbon. The Pt nanowires exhibit excellent catalytic activity due to the abundant grain boundaries and highly undercoordinated atoms; MXene nanosheets not only facilitate the growth of Pt nanowires, but also enhance the electrical conductivity and hydrophilicity; and the porous carbon helps induce significant adsorption of dopamine on the electrode surface. In electrochemical tests, the ternary nanocomposite-based sensor achieves an ultra-sensitive detection of dopamine (S/N = 3) with a low limit of detection (LOD) of 28 nM, satisfactory selectivity and excellent stability. Furthermore, the sensor can be used for the detection of dopamine in serum and in situ monitoring of dopamine release from PC12 cells. Such a highly sensitive nanocomposite sensor can be exploited for in situ monitoring of important neurotransmitters at the cellular level, which is of great significance for related drug screening and mechanistic studies.

Research progress in mechanism of anticancer action of shikonin targeting reactive oxygen species.

Excessive buildup of highly reactive molecules can occur due to the generation and dysregulation of reactive oxygen species (ROS) and their associated signaling pathways. ROS have a dual function in cancer development, either leading to DNA mutations that promote the growth and dissemination of cancer cells, or triggering the death of cancer cells. Cancer cells strategically balance their fate by modulating ROS levels, activating pro-cancer signaling pathways, and suppressing antioxidant defenses. Consequently, targeting ROS has emerged as a promising strategy in cancer therapy. Shikonin and its derivatives, along with related drug carriers, can impact several signaling pathways by targeting components involved with oxidative stress to induce processes such as apoptosis, necroptosis, cell cycle arrest, autophagy, as well as modulation of ferroptosis. Moreover, they can increase the responsiveness of drug-resistant cells to chemotherapy drugs, based on the specific characteristics of ROS, as well as the kind and stage of cancer. This research explores the pro-cancer and anti-cancer impacts of ROS, summarize the mechanisms and research achievements of shikonin-targeted ROS in anti-cancer effects and provide suggestions for designing further anti-tumor experiments and undertaking further experimental and practical research.

Canagliflozin Inhibits Palmitic Acid-Induced Vascular Cell Aging In Vitro through ROS/ERK and Ferroptosis Pathways.

Vascular aging is one of the reasons for the high incidence of cardiovascular diseases nowadays, as vascular cells age due to various internal and external factors. Among them, high fat is an important inducer. Canagliflozin (CAN) is one of the SGLT2 inhibitors that has been shown to have cardiovascular protective effects in addition to lowering blood sugar, but the specific mechanism is not clear. This study first established a vascular aging model using palmitic acid (PA), then tested the effect of CAN on PA-induced vascular aging, and finally examined the mechanism of CAN's anti-vascular aging via ROS/ERK and ferroptosis pathways. We found that CAN alleviates PA-induced vascular cell aging by inhibiting the activation of ROS/ERK and ferroptosis signaling pathways. This study reveals new mechanisms of lipid-induced vascular aging and CAN inhibition of vascular aging from the perspectives of ROS/ERK and ferroptosis pathways, which is expected to provide new ideas for the development of related drugs in the future.

Identification of tumor stemness and immunity related prognostic factors and sensitive drugs in head and neck squamous cell carcinoma

The presence of cancer stem cells (CSCs) contributes significantly to treatment resistance in various cancers, including head and neck squamous cell carcinoma (HNSCC). Despite this, the relationship between cancer stemness and immunity remains poorly understood. In this study, we aimed to identify potential immunotherapeutic targets and sensitive drugs for CSCs in HNSCC. Using data from public databases, we analyzed expression patterns and prognostic values in HNSCC. The stemness index was calculated using the single-sample gene set enrichment analysis (ssgsea) algorithm, and weighted gene co-expression network analysis (WGCNA) was employed to screen for key stemness-related modules. Consensus clustering was then used to group samples for further analysis, and prognosis-related key genes were identified through regression analysis. Our results showed that tumor samples from HNSCC exhibited higher stemness indices compared to normal samples. WGCNA identified a module highly correlated with stemness, comprising 187 genes, which were significantly enriched in protein digestion and absorption pathways. Furthermore, we identified sensitive drugs targeting prognostic genes associated with tumor stemness. Notably, two genes, HLF and CCL11, were found to be highly associated with both stemness and immunity. In conclusion, our study identifies a stemness-related gene signature and promising drug candidates for CSCs of HNSCC. Additionally, HLF and CCL11, which are associated with both stemness and immunity, represent potential targets for immunotherapy in HNSCC.

A clinically compatible in vitro drug-screening platform identifies therapeutic vulnerabilities in primary cultures of brain metastases

PurposeBrain metastases represent the most common intracranial tumors in adults and are associated with a poor prognosis. We used a personalized in vitro drug screening approach to characterize individual therapeutic vulnerabilities in brain metastases.MethodsShort-term cultures of cancer cells isolated from brain metastasis patients were molecularly characterized using next-generation sequencing and functionally evaluated using high-throughput in vitro drug screening to characterize pharmacological treatment sensitivities.ResultsNext-generation sequencing identified matched genetic alterations in brain metastasis tissue samples and corresponding short-term cultures, suggesting that short-term cultures of brain metastases are suitable models for recapitulating the genetic profile of brain metastases that may determine their sensitivity to anti-cancer drugs. Employing a high-throughput in vitro drug screening platform, we successfully screened the cultures of five brain metastases for response to 267 anticancer compounds and related drug response to genetic data. Among others, we found that targeted treatment with JAK3, HER2, or FGFR3 inhibitors showed anti-cancer effects in individual brain metastasis cultures.ConclusionOur preclinical study provides a proof-of-concept for combining molecular profiling with in vitro drug screening for predictive evaluation of therapeutic vulnerabilities in brain metastasis patients. This approach could advance the use of patient-derived cancer cells in clinical practice and might eventually facilitate decision-making for personalized drug treatment.

Urolithiasis Causes Osteoporosis in Asians: Genetic Evidence from Mendelian Randomization and Pathway Analysis.

It is an indisputable fact that patients with urolithiasis are prone to osteoporosis (OP), but the specific mechanism of their association is unclear. Previous studies have focused on the mediation of environmental factors such as diet; however, the potential of urolithiasis itself to induce OP remains uncertain. In this study, we used data from the Japan BioBank (6,638 urolithiasis and 7,788 OP cases) to investigate the direct causal relationship and mechanism between urolithiasis and OP, applying Mendelian randomization (MR), genetic correlation analysis, colocalization, and pathway analysis. We selected ten genetic variants as instrumental variables (IVs) for urolithiasis. The results showed a positive association between genetically predicted urolithiasis and OP, with significant direct effects persisting after adjusting for OP-associated factors in four models. Reverse analysis revealed no significant causal effect of genetically predicted OP on urolithiasis. While genetic correlation analysis and colocalization did not find conclusive evidence, mediation analysis identified eGFR as a significant contributor. Co-risk factor analysis unveiled cardiovascular elements as common risks for both conditions. Bioanalysis implicates cytokine, metabolic, and calcium signaling pathways may bridge urolithiasis and OP, with BCAS3, DGKH, TBX2, and TBX2-AS1 identified as potential causal genes. In conclusion, the study establishes a direct causal link between urolithiasis and OP, independent of environmental factors. Regardless of lifestyle, urolithiasis patients should remain vigilant about the risk of OP and consider regular OP screening. The biological mechanism of urolithiasis combined with OP and related drugs still needs to be further explored.

A Modified Technique for Inducing Polycystic Ovary Syndrome in Mice.

Polycystic ovary syndrome (PCOS) is one of the leading causes of infertility in women. Animal models are widely used to study the etiologic mechanisms of PCOS and for related drug development. Letrozole-induced mouse models replicate the metabolic and reproductive phenotypes of patients with PCOS. The traditional method of letrozole treatment in PCOS mice requires daily dosing over a certain period, which can be labor-intensive and cause significant stress to the mice. This study describes a simple and effective method for inducing PCOS in mice by implanting a controlled letrozole-releasing mini-pump. A mini-pump capable of stable, continuous release of a quantitative amount of letrozole was fabricated and implanted subcutaneously in mice under anesthesia. This study demonstrated that the mouse model successfully mimicked PCOS features after letrozole mini-pump implantation. The materials and equipment used in this study are readily available to most laboratories, requiring no special customization. Collectively, this article provides a unique, easy-to-perform method for inducing PCOS in mice.

Study of microbiological activity of topical antibacterial agents for treatment of combat injuries

The problems of combat injuries are determined by the issue of treatment of purulent complications, because wounds received during combat operations are usually infected, and the most serious complication of such wounds is the development of purulent infection. Objective — to study the features of the aerobic component of combat wounds, the sensitivity of causative agents of wound infection to antibacterial drugs, and the antimicrobial activity of individual drugs in relation to extensively resistant and polyresistant microbial agents in order to develop external therapy algorithms as part of the complex treatment of these injuries. Materials and methods. The data of microbiological studies of patients with combat wounds were used in the work. Results and discussion. Based on the results of monitoring causative agents of purulent­inflammatory complications of wound injuries, a range of leading types of microorganisms was revealed. The isolation of flora resistant to most antibiotics from wounds dictates the need to change the strategy of infection control with strengthening measures to prevent nosocomial transmission, which should be considered when prescribing antibiotic therapy. Conclusions. Based on the results of monitoring the causative agents of purulent-inflammatory complications of wound injuries, a range of leading types of microorganisms was revealed: K. pneumoniae, E. faecalis, S. haemolyticus, P. aeruginosa, E. coli. The dominant microorganisms (by isolation frequency) in the wound contents were: staphylococci (3.0—5.69 lg CFU/ml), enterobacteria (4.69—7.0 lg CFU/ml), enterococci (3.0—4.69 lg CFU/ml). In addition, aerobic bacilli (3.0—3.69 lg CFU/g) and pseudomonads (5.69—7.0 lg CFU/g) were determined in the wound contents, which did not have a dominant character.The use of a topical agent containing dioxidin can contribute to the improvement of the effectiveness of the local treatment of purulent wounds infected with strains of gram-negative bacteria, in particular E. coli, K. pneumoniae and P. aeruginosa, with poly and extensive resistance to antibiotics both in monocultures and in microbial associations, in particular with strains of S. aureus, including MRSA.

Inflammation assessment and therapeutic monitoring based on highly sensitive and multi-level electrochemical detection of PGE2

Prostaglandin E2 (PGE2), an eicosane, regulates the physiological activity of inflammatory cells and represents a potential therapeutic target for facilitating tissue repair in vivo. In our work, an electrochemical immunosensor employing Ketjen black-Au nanoparticles (KB–Au) and poly tannic acid nanospheres conjugated with anti-PGE2 polyclonal antibody (PTAN-Ab) was designed to ultra-sensitively analyze PGE2 levels secreted by living cells and tissues. Antibody assembly strategies were explored to achieve signal amplification. Moreover, we studied the therapy effects of docosahexaenoic acid (DHA), arachidonic acid (AA), hyaluronic acid (HA), and small molecule 15-hydroxyprostaglandin dehydrogenase inhibitor (SW033291) on inflammation and evaluated the protective functions of HA and SW033291 in a murine model subjected to colitis induced by dextran sulfate sodium (DSS) using the developed sensor. The sensor exhibited a linear range of 10−5–106 fg/mL and a detection limit (LOD) of 10−5 fg/mL. Fetal bovine serum (FBS) samples were used to achieve high recovery of target analytes. This study not only presents an effective strategy for ultra-sensitively monitoring PGE2 but also provides valuable insights into assessing the degree of inflammation and the therapeutic effect of related drugs. Research on human health monitoring and regenerative medicine could greatly benefit from the findings.

Assessing drug lag in new drug approvals by the Iran Food and Drug Administration compared to the U.S. FDA, EMA, and PMDA: A 20-year analysis (2001-2021).

The pharmaceutical industry is vital for healthcare advancement through innovative medications, improving lives. A substantial challenge is "Drug lag," hindering patient access and increasing disease adjusted life years burdens. We aim to examine drug lag for Iran Food and Drug Administration (IFDA) approved drugs versus US Food & Drug Administration (FDA), European Medicines Agency (EMA), and Pharmaceuticals and Medical Devices Agency (PMDA) over 2001 to 2021. We reviewed new molecular entities within this period, using descriptive statistics in Excel 2019. Drug lag is assessed from relative and absolute perspectives, considering approval gaps and annual rates. Among 710 FDA-approved drugs, 410 received EMA approval, 344 from PMDA, and 148 from IFDA. For 148 IFDA and FDA-approved drugs, the maximum drug lag was 237 months. The mean relative drug lag was 65.18 ± 61.56 months. Compared to EMA (112 drugs), the maximum lag was 257 months, with a mean relative lag of 70.29 ± 53.67 months. With PMDA (127 drugs), the maximum lag was 253 months, with a mean relative lag of 38.23 ± 60.57 months. Iran faces significant drug lag compared to developed countries' regulatory bodies, limiting patient access to innovative treatments. Addressing this issue is crucial for timely drug access, reducing disease burdens. Further research and policy interventions are needed to mitigate drug lag's impact on Iran healthcare landscape.

Nicolas Garel: Combining psychoactive molecules and psychotherapy for patients suffering from mood and substance use disorders: a new therapeutic paradigm

Dr Nicolas Garel is an Assistant Professor in the Department of Psychiatry and Addictology at the University of Montreal and a junior investigator at the Research Center of the Centre Hospitalier de l'Université de Montréal. Dr Garel did his psychiatry residency at McGill University before completing the Clinician-Investigator Program and a Master's degree at McGill University, studying the potential role of ketamine in the discontinuation of benzodiazepines and related drugs. Dr Garel then completed a clinical fellowship in Addiction Medicine at Stanford University. His research program focuses on the integration of psychoactive molecules in conjunction with psychotherapy as a unique potential treatment approach for patients with comorbid mood and alcohol/sedative use disorders. In this “Innovators & Ideas” section, we are excited to feature Dr Garel in our latest Genomic Press Interview. We are thrilled he took the time to answer our questions and share his valuable insights with our readers.

Describing Intravenous Extravasation Injuries in Children (DIVE2 Study).

Extravasation is the erroneous delivery of IV medication or fluid into the extravascular space. Complications ranging from mild injury to amputation can result, depending on the physical and pharmacologic properties of the infusate. Children are at increased risk for extravasation injuries. There is a paucity of data on the treatment and outcomes of extravasation injuries, particularly in terms of the role of pharmacologic antidotes. To describe the incidence of extravasation at a tertiary pediatric care centre (as an update to a previous study), to identify the agents most commonly involved in extravasation injuries, to describe the antidotes used for management of injuries and their related adverse drug effects, and to describe complications related to injuries. The medical records of pediatric patients who experienced an extravasation injury at the BC Children's and BC Women's Hospitals, between September 1, 2008, and September 30, 2020, were reviewed. Data regarding management (adherence with institutional protocol) and outcomes of injuries were collected. The 242 charts included in the analysis noted a total of 245 extravasation injuries, for an extravasation incidence of 0.04% per patient-day. Of the 242 patients, 110 were excluded from secondary outcome analysis due to lack of data detailing the extravasation event. Of the remaining 132 patients, the majority were neonates (n = 54, 40.9%), infants (n = 33, 25.0%), and children (n = 34, 25.8%), and more than a third were treated on general pediatric wards (n = 50, 37.9%). The medications most frequently involved were total parenteral nutrition with lipids (36/132, 27.3%), vancomycin (36/132, 27.3%), and IV fluids (35/132, 26.5%). Most of the patients had mild outcomes and recovered without complications. No adverse drug events from antidotes were reported. The incidence of extravasation at the study institution remained low, with the medications involved being similar to those reported in the literature and the majority of patients having mild outcomes. Additional prospective studies are needed to assess the efficacy and safety of antidotes administered for extravasation injuries.

Pyrazolone compounds could inhibit CES1 and ameliorates fat accumulation during adipocyte differentiation

Carboxylesterase 1 (CES1), a member of the serine hydrolase superfamily, is involved in a wide range of xenobiotic and endogenous substances metabolic reactions in mammals. The inhibition of CES1 could not only alter the metabolism and disposition of related drugs, but also be benefit for treatment of metabolic disorders, such as obesity and fatty liver disease. In the present study, we aim to develop potential inhibitors of CES1 and reveal the preferred inhibitor structure from a series of synthetic pyrazolones (compounds 1–27). By in vitro high-throughput screening method, we found compounds 25 and 27 had non-competitive inhibition on CES1-mediated N-alkylated d-luciferin methyl ester (NLMe) hydrolysis, while compound 26 competitively inhibited CES1-mediated NLMe hydrolysis. Additionally, Compounds 25, 26 and 27 can inhibit CES1-mediated fluorescent probe hydrolysis in live HepG2 cells with effect. Besides, compounds 25, 26 and 27 could effectively inhibit the accumulation of lipid droplets in mouse adipocytes cells. These data not only provided study basis for the design of newly CES1 inhibitors. The present study not only provided the basis for the development of lead compounds for novel CES1 inhibitors with better performance, but also offered a new direction for the explore of candidate compounds for the treatment of hyperlipidemia and related diseases.

Patient-patient interactions visualization for drug side effects in patients’ reviews

This paper describes the patient-patient interactions (PPIs) graph extraction framework from patient’s review transcripts. The concept is to visualise patients as nodes and interactions representing links. Links are made based on review text similarity. Nodes are categorized as positive or negative according to the patient’s attitude toward a given drug. Attitudes are then utilized to categorize the links as supporting or opposing the use of a certain drug. If both patients share the same attitude: negative (severe side effect) or positive (moderate side effect), the relationship is considered supportive; if not, the link is considered opposed. Resulting graph represent a drug as a dispute between two factions arguing on related drug. The framework is explained and evaluated using a dataset included 3,763 patients’ reviews linked to 255 different drugs, -predictive-value (0.37). We argue that, this is caused by derogatory jargon that is an expected feature of patient’s review. The true-negative-recognition-rate is 0.70 and true-positive-recognition-rate is 0.54. Total-average-accuracy, which is independent of class priors, is 0.66. Results show that, it is possible to use text proximity measures and sentiment analysis to capture PPIs structure.

Knowledge, attitudes, and current practices toward lung cancer palliative care management in China: A national survey.

11143 Background: To demonstrate the status and differences in knowledge, attitudes, and practices (KAP) of lung cancer palliative care (LCPC) management, and to measure patient controlled analgesia (PCA) in cancer pain management in of China. Methods: A questionnaire on LCPC management was used in this study, which involved a total of 2093 participants from 706 hospitals in China. Seven major components make up the questionnaire, including chi-square tests or Fisher exact probabilities to measure the differences in KAP between hospitals grades. Comparing distributions of ordered data between groups was done using the Kruskal-Wallis H test or the Mann-Whitney U test. Multiple choice questions use multiple response cross analysis. Correlation was evaluated by the Spearman correlation coefficient. Results: 84.2% participants believed that anti-tumor therapy is equally important as palliative care. The satisfaction rate of participants from grade 3 hospitals, which was significantly higher than that of grade 2 and grade 1 hospitals (χ²=27.402, P=0.002). The most common symptoms requiring LCPC was pain. The major barriers toward to LCPC were “Patients and families are concerned about the safety of long-term use of palliative care related drugs”. The most common reasons for the use of PCA treatment were 31.1% participants thought “Patients with systemic application of large doses of opioids or adverse reactions to opioids that cannot be tolerated”. The top three barriers toward PCA treatment of cancer pain were (i) worry about adverse reactions of drug overdose, (ii) worry about opioid addiction, and (iii) increase of patients' economic burden. In the past 24 months, 33.9% of the participants had not participated in online or offline training related to palliative care of lung cancer. Conclusions: Chinese healthcare workers are in need of training for lung cancer palliative care and, in particular, for controlling cancer pain symptoms.

Advances in Drug Therapy for Gastrointestinal Stromal Tumour.

Gastrointestinal stromal tumour (GIST) is a common gastrointestinal sarcoma located in the stromal cells of the digestive tract, and molecular studies have revealed the pathogenesis of mutations in KIT and PDGFRA genes. Since imatinib opened the era of targeted therapy for GIST, tyrosine kinase inhibitors (TKIs) that can treat GIST have been developed successively. However, the lack of new drugs with satisfactory therapeutic standards has made addressing resistance a significant challenge for TKIs in the face of the resistance to first-line and second-line drugs. Therefore, we need to find as many drugs and new treatments that block mutated genes as possible. We conducted a comprehensive collection of literature using databases, integrated and analysed the selected literature based on keywords and the comprehensive nature of the articles, and finally wrote articles based on the content of the studies. In this article, we first briefly explained the relationship between GIST and KIT/ PDGFRα and then introduced the related drug treatment. The research progress of TKIs was analyzed according to the resistance of the drugs. This article describes the research progress of some TKIs and briefly introduces the currently approved TKIs and some drugs under investigation that may have better therapeutic effects, hoping to provide clues to the research of new drugs.

Prediction of Plant Ubiquitylation Proteins and Sites by Fusing Multiple Features

Introduction: Protein ubiquitylation is an important post-translational modification (PTM), which is considered to be one of the most important processes regulating cell function and various diseases. Therefore, accurate prediction of ubiquitylation proteins and their PTM sites is of great significance for the study of basic biological processes and the development of related drugs. Researchers have developed some large-scale computational methods to predict ubiquitylation sites, but there is still much room for improvement. Much of the research related to ubiquitylation is cross-species while the life pattern is diversified, and the prediction method always shows its specificity in practical application. This study just aims at the issue of plants and has constructed computational methods for identifying ubiquitylation protein and ubiquitylation sites. Method: In this work, we constructed two predictive models to identify plant ubiquitylation proteins and sites. First, in the ubiquitylation proteins prediction model, in order to better reflect protein sequence information and obtain better prediction results, the KNN scoring matrix model based on functional domain Gene Ontology (GO) annotation and word embedding model, i.e. Skip-Gram and Continuous Bag of Words (CBOW), are used to extract the features, and the light gradient boosting machine (LGBM) is selected as the ubiquitylation proteins prediction engine. Results: As a result, accuracy (ACC), Precision, recall rate (Recall), F1_score and AUC are respectively 85.12%, 80.96%, 72.80%, 76.37% and 0.9193 in the 10-fold cross-validations on independent dataset. In the ubiquitylation sites prediction model, Skip-Gram, CBOW and enhanced amino acid composition (EAAC) feature extraction codes were used to extract protein sequence fragment features, and the predicted results on training and independent test data have also achieved good performance. Conclusion: In a word, the comparison results demonstrate that our models have a decided advantage in predicting ubiquitylation proteins and sites, and it may provide useful insights for studying the mechanisms and modulation of ubiquitination pathways

The role of the kynurenine pathway in cardiovascular disease.

The kynurenine pathway (KP) serves as the primary route for tryptophan metabolism in most mammalian organisms, with its downstream metabolites actively involved in various physiological and pathological processes. Indoleamine 2,3-dioxygenase (IDO) and tryptophan 2,3-dioxygenase (TDO) serve as the initial and pivotal enzymes of the KP, with IDO playing important and intricate roles in cardiovascular diseases. Multiple metabolites of KP have been observed to exhibit elevated concentrations in plasma across various cardiovascular diseases, such as atherosclerosis, hypertension, and acute myocardial infarction. Multiple studies have indicated that kynurenine (KYN) may serve as a potential biomarker for several adverse cardiovascular events. Furthermore, Kynurenine and its downstream metabolites have complex roles in inflammation, exhibiting both inhibitory and stimulatory effects on inflammatory responses under different conditions. In atherosclerosis, upregulation of IDO stimulates KYN production, mediating aromatic hydrocarbon receptor (AhR)-induced exacerbation of vascular inflammation and promotion of foam cell formation. Conversely, in arterial calcification, this mediation alleviates osteogenic differentiation of vascular smooth muscle cells. Additionally, in cardiac remodeling, KYN-mediated AhR activation exacerbates pathological left ventricular hypertrophy and fibrosis. Interventions targeting components of the KP, such as IDO inhibitors, 3-hydroxyanthranilic acid, and anthranilic acid, demonstrate cardiovascular protective effects. This review outlines the mechanistic roles of KP in coronary atherosclerosis, arterial calcification, and myocardial diseases, highlighting the potential diagnostic, prognostic, and therapeutic value of KP in cardiovascular diseases, thus providing novel insights for the development and application of related drugs in future research.