Adenosine: The common target between cancer immunotherapy and glaucoma in the eye

Metabolomic profiles in allergic rhinitis: A systematic review and meta-analysis

BACKGROUND

Allergic rhinitis (AR) is a prevalent chronic inflammatory condition that significantly affects patient quality of life and poses a substantial public health burden. Recent advancements in metabolomics have facilitated a deeper understanding of the metabolic pathways involved in AR, offering potential for new biomarkers and therapeutic targets.

OBJECTIVE

To conduct a systematic review and meta-analysis of clinical studies summarizing the metabolomic profiles of AR to gain deeper insights into the metabolic changes and pathologic processes underlying AR.

METHODS

A comprehensive literature search was conducted across PubMed, Embase, Scopus, and Web of Science databases up to October 2024. A qualitative review of the screened studies was performed, followed by meta-analyses of metabolites reported in at least 2 studies. High-impact targets, pathways, and their associations were identified using bioinformatic analyses.

RESULTS

A total of 21 studies, encompassing 84 metabolites associated with AR, met the inclusion criteria. There were 7 metabolites that consistently exhibited up-regulation in AR across multiple studies and were included in the meta-analysis. Pathway enrichment analyses revealed significant involvement of pathways such as "valine, leucine, and isoleucine biosynthesis" and "linoleic acid metabolism" in AR pathogenesis. The metabolite-pathway-gene network analysis highlighted key functional connections between metabolites, pathways, and immune response genes.

CONCLUSION

This comprehensive analysis indicates that differential metabolites may play pivotal roles in AR pathogenesis, offering potential biomarkers and therapeutic targets. Further studies are necessary to validate these findings and elucidate the complex metabolic pathways involved in AR.

Sunlight-mediated environmental risks of tinidazole in seawater: A neglected ocular toxicity of photolysis mixtures

Tinidazole (TNZ), a common nitroimidazole antibiotic, is pervasive in aquatic ecosystems, posing potential threats to marine organisms. The environmental fate of TNZ, particularly under solar irradiation, and the associated secondary risks are not well characterized. Herein, the photochemical reactivity of TNZ and four other typical nitroimidazoles (i.e., metronidazole, ornidazole, dimetridazole, and secnidazole) were quantified for multiple photoreactive species. The photolysis products of these nitroimidazoles were identified under solar irradiation, from which the reaction pathways were tentatively proposed. Furthermore, the photo-induced toxicity evolution mechanisms of TNZ were investigated by comparing phenotypic, transcriptomic, and metabolomic changes in marine medaka embryos (Oryzias melastigma) after exposure to TNZ and its photo-irradiated mixtures. Our results indicated that the photo-irradiated TNZ enhanced visual toxicity to marine medaka embryos compared to the parent compound. The photolysis mixtures induced embryonic ocular malformation and significantly affected the expression of the associated genes with the initiation/termination of the phototransduction cascade, leading to metabolite changes related to visual impairment. This work reported the first comprehensive assessment of the photolysis-mediated environmental fate and secondary risks of TNZ in seawater. The findings highlighted the necessity of including complex photolysis mixtures under solar irradiation in future chemical risk assessments of marine environments.

The potential of nanosystems in disrupting adenosine signaling pathways for tumor immunotherapy

INTRODUCTION

Adenosine (ADO) is a naturally occurring nucleoside primarily synthesized through the hydrolysis of extracellular adenosine triphosphate. Within the tumor microenvironment, ADO levels substantially increase, resulting in suppressed immune responses.

AREAS COVERED

Nanosystems offer a promising approach for precise drug delivery to tumor lesions. In this review, we provide an overview of the current research progress in the development of nanosystems that modulate adenosine signaling for tumor immunotherapy. These nanosystems are designed to target adenosine-hydrolyzing proteins, increase adenosine decomposition, and antagonize adenosine receptors.

EXPERT OPINION

Based on the literature review, adenosine has great potential in tumor immunotherapy, and nano-drug delivery system has great application prospects in targeted cancer therapy in the near future due to its superior characteristics.

Microbial imidazole propionate affects glomerular filtration rate in patients with diabetic nephropathy through association with HSP90α

Imidazole propionate (ImP) is a detrimental metabolite produced by the fermentation of histidine intermediates via the intestinal flora. Here, the untargeted metabolite analysis of plasma metabolites from patients with diabetic nephropathy (DN), in combination with the Human Metabolome Database, revealed significantly increased levels of ImP in patients with DN, with a positive correlation with patients' blood creatinine concentration and urinary albumin-to-creatinine ratio, and a negative correlation with the glomerular filtration rate. RNA-seq was applied to detect the effects of ImP on renal tissue transcriptome in mice with DN. It demonstrated that ImP exacerbated renal injury in mice with DN and promoted renal tubular epithelial-mesenchymal transition (EMT), leading to renal mesenchymal fibrosis and renal impairment. Furthermore, ImP was found to directly target HAP90α and activate the PI3K-Akt signalling pathway, which is involved in EMT, by the drug affinity response target stability method. The findings showed that ImP may provide a novel target for DN quality, as it can directly bind to and activate HSP90, thereby facilitating the development of DN while acting as a potential indicator for the clinical diagnosis of DN.

Long-Term Surgical Outcomes of Glaucoma Drainage Implants in Eyes with Preoperative Intraocular Pressure Less than 19 mmHg

Background

This retrospective review reports on patients who underwent glaucoma drainage implant (GDI) surgery and had baseline intraocular pressure (IOP) of ≤18 mmHg with at least one year of follow-up.

Methods

Clinical data of 67 eyes of 67 patients were collected from patients' charts, and the outcomes of GDI were evaluated until 7 years. GDI failure was defined as IOP reduction of less than 20% from the baseline at two consecutive visits three months after surgery, decline to no light perception, or if additional glaucoma surgery was performed.

Results

The average age was 65.9 ± 13.2 years. Most cases were male (52.2%), White (53.7%), and had primary open-angle glaucoma (62.7%). Forty-four eyes had prior glaucoma surgery (68.6%) and 46 (68.6%) had severe glaucoma. Though postoperative (postop) IOP changes were insignificant, the average postop number of medications dropped from 2.4 ± 1.4 to 1.9 ± 1.2 medications two years after surgery (p = 0.0451). Postop complications (23.9%) included GDI exposure (7.5%), inflammation (4.5%), shallow anterior chamber (4.5%), and strabismus (1.5%). Hypotony was observed in 4 eyes (5.9%), none of which developed hypotony maculopathy. The cumulative one-year failure rate was 56.7%, most of which were due to failure to lower IOP.

Conclusion

In patients with baseline IOP ≤18 mmHg who had GDI surgery, though the change in IOP was not statistically significant, the number of medications dropped and visual field progression slowed in a subset of patients with adequate perimetric data. Due to a relatively high rate of complications and limited effectiveness in lowering IOP, GDI should be cautiously used in these eyes.

Novel Adenosine Receptor Antagonists for Treating Cancer and Immune-Related Disorders

Provided herein are novel adenosine A2a receptor and adenosine A2b receptor inhibitors, pharmaceutical compositions, use of such compounds in treating cancer and immune-related disorders, and processes for preparing such compounds.

Medication and ECG Patterns That May Hinder SPECT Myocardial Perfusion Scans

Coronary artery disease (CAD) is the leading cause of death followed by cancer, in men and women. With risk factors being endemic and the increasing costs of healthcare for management and treatment, myocardial perfusion imaging (MPI) finds a central role in risk stratification and prognosis for CAD patients, but it comes with its limitations in that the referring clinician and managing team must be aware of and use at their advantage. This narrative review examines the utility of myocardial perfusion scans in the diagnosis and management of patients with ECG alterations such as atrioventricular block (AVB), and medications including calcium channel blockers (CCB), beta blockers (BB), and nitroglycerin which may impact the interpretation of the exam. The review analyzes the current evidence and provides insights into the limitations, delving into the reasons behind some of the contraindications to MPI.

Integration of the Microbiome, Metabolome and Transcriptome Reveals Escherichia coli F17 Susceptibility of Sheep

Escherichia coli (E. coli) F17 is one of the most common pathogens causing diarrhea in farm livestock. In the previous study, we accessed the transcriptomic and microbiomic profile of E. coli F17-antagonism (AN) and -sensitive (SE) lambs; however, the biological mechanism underlying E. coli F17 infection has not been fully elucidated. Therefore, the present study first analyzed the metabolite data obtained with UHPLC-MS/MS. A total of 1957 metabolites were profiled in the present study, and 11 differential metabolites were identified between E. coli F17 AN and SE lambs (i.e., FAHFAs and propionylcarnitine). Functional enrichment analyses showed that most of the identified metabolites were related to the lipid metabolism. Then, we presented a machine-learning approach (Random Forest) to integrate the microbiome, metabolome and transcriptome data, which identified subsets of potential biomarkers for E. coli F17 infection (i.e., GlcADG 18:0-18:2, ethylmalonic acid and FBLIM1); furthermore, the PCCs were calculated and the interaction network was constructed to gain insight into the crosstalk between the genes, metabolites and bacteria in E. coli F17 AN/SE lambs. By combing classic statistical approaches and a machine-learning approach, our results revealed subsets of metabolites, genes and bacteria that could be potentially developed as candidate biomarkers for E. coli F17 infection in lambs.

Investigation of the Active Compounds and Important Pathways of Huaiqihuang Granule for the Treatment of Immune Thrombocytopenia Using Network Pharmacology and Molecular Docking

Materials and Methods

Compounds of HQHG were scanned by LC-MS/MS, and the target profiles of compounds were identified based on SwissTarget Prediction. ITP target proteins were collected from various databases. Then, KEGG pathway and GO enrichment analyses were performed to explore the signaling pathways related to HQHG for ITP. The PPI and drug-herbs-compounds-targets-pathways network were constructed using Cytoscape 3.7.2. Finally, Discovery studio software was used to confirm the key targets and active compounds from HQHG.

Results

A total of 187 interacting targets of 19 potentially active compounds in HQHG and 3837 ITP-related targets were collected. Then, 187 intersection targets were obtained. A total of 20 key targets including EGFR, CASP3, TNF, STAT3, and ERBB2 were identified through PPI network analysis. These targets were mainly focused on the biological processes of positive regulation of protein phosphorylation, cellular response to organonitrogen compound, and cellular response to nitrogen compound. 20 possible pathways of HQHG in the treatment of ITP were identified through KEGG enrichment. EGFR, CASP3, TNF, and STAT3 are the four most important target proteins, while adenosine, caffeic acid, ferulic acid, quercetin-3β-D-glucoside, rutin, scopoletin, and tianshic acid are the most important active compounds, which were validated by molecular docking simulation.

Conclusion

This study demonstrated that HQHG produced relief effects against ITP by regulating multitargets and multipathways with multicompounds. And the combined data provide novel insight of drug developing for ITP.