Pub Date : 2024-01-23DOI: 10.1007/s44254-023-00049-9
Xiaoqiang Wang, Yiying Tao, Chaojin Zhang, Jie Tian, Weifeng Yu
<div><h3>Purpose</h3><p>Opioids are currently the most frequently prescribed analgesics in clinical practice. However, their effect on cancer progression remains a topic of debate. Opioid receptors (ORs) are present in various types of tumor cells and their expression levels vary depending on the type of tumor. This study aims to explore and preliminarily characterize the association between four different ORs (μ, δ, κ, and nociception/orphanin FQ peptide receptor) and the prognosis of different types of tumors for comparison, with a focus on nociception/ orphanin FQ peptide receptor.</p><h3>Methods</h3><p>The expression levels of four ORs in normal tissues and immune cells were obtained from Human Protein Atlas (HPA) RNA-seq dataset, Monaco dataset, and Consensus dataset. Pan-cancer analysis was performed using the The Cancer Genome Atlas (TCGA) dataset, which included the expression of four ORs in different cancer types, significant copy-number alterations (sCNA), gene mutations of the four ORs, survival analysis, co-expression genes analysis, functional enrichment analyses, and correlations between ORs and immune cell infiltration levels. Based on the results of bioinformatic analysis, we selected 10 cancer cell lines for validation in vitro using specific agonists for the four ORs.</p><h3>Results</h3><p><i>OPRL1</i> (opioid related nociceptin receptor 1 gene) exhibited the highest abundance across different types of cancers, while <i>OPRM1</i> (opioid receptor mu 1 gene) and <i>OPRD1</i> (opioid receptor delta 1 gene) were barely detectable in multiple cancer types. Pan-cancer survival analysis revealed the overall worse/better prognosis of the four ORs in certain cancer types. Elevated levels of <i>OPRM1</i> appear to be associated with poorer outcomes in breast invasive carcinoma and kidney renal clear cell carcinoma. Elevated <i>OPRD1</i> levels are connected to worsen outcomes in kidney renal clear cell carcinoma and liver hepatocellular carcinoma, but better prognosis in bladder urothelial carcinoma. Increased <i>OPRK1</i> (opioid receptor kappa 1 gene) expression is linked to a poorer prognosis in kidney renal papillary cell carcinoma. Furthermore, high <i>OPRL1</i> expression relates to worse outcomes in bladder urothelial carcinoma and liver hepatocellular carcinoma, but better outcomes in breast invasive carcinoma and pancreatic adenocarcinoma. Functional enrichment analyses found that immune-related pathways were enriched in <i>OPRK1</i> and <i>OPRL1</i>, with <i>OPRL1</i> exhibiting the highest correlation with immune cell infiltration. Different effects on cell growth, migration, and invasion were observed in different cancer types upon the administration of agonists for the four ORs.</p><h3>Conclusion</h3><p><i>OPRL1</i> may play a vital role in monocytes and regulating the immune response and tumor-infiltrating macrophages. Due to its high abundance in different types of tumors, it may hold greater clinical significance for onco
{"title":"Expression heterogeneity, tumor immune characteristics and the prognosis effects of OPRL1 in patients with tumors: a pan-cancer study combined with bioinformation analyses and in vitro validation","authors":"Xiaoqiang Wang, Yiying Tao, Chaojin Zhang, Jie Tian, Weifeng Yu","doi":"10.1007/s44254-023-00049-9","DOIUrl":"10.1007/s44254-023-00049-9","url":null,"abstract":"<div><h3>Purpose</h3><p>Opioids are currently the most frequently prescribed analgesics in clinical practice. However, their effect on cancer progression remains a topic of debate. Opioid receptors (ORs) are present in various types of tumor cells and their expression levels vary depending on the type of tumor. This study aims to explore and preliminarily characterize the association between four different ORs (μ, δ, κ, and nociception/orphanin FQ peptide receptor) and the prognosis of different types of tumors for comparison, with a focus on nociception/ orphanin FQ peptide receptor.</p><h3>Methods</h3><p>The expression levels of four ORs in normal tissues and immune cells were obtained from Human Protein Atlas (HPA) RNA-seq dataset, Monaco dataset, and Consensus dataset. Pan-cancer analysis was performed using the The Cancer Genome Atlas (TCGA) dataset, which included the expression of four ORs in different cancer types, significant copy-number alterations (sCNA), gene mutations of the four ORs, survival analysis, co-expression genes analysis, functional enrichment analyses, and correlations between ORs and immune cell infiltration levels. Based on the results of bioinformatic analysis, we selected 10 cancer cell lines for validation in vitro using specific agonists for the four ORs.</p><h3>Results</h3><p><i>OPRL1</i> (opioid related nociceptin receptor 1 gene) exhibited the highest abundance across different types of cancers, while <i>OPRM1</i> (opioid receptor mu 1 gene) and <i>OPRD1</i> (opioid receptor delta 1 gene) were barely detectable in multiple cancer types. Pan-cancer survival analysis revealed the overall worse/better prognosis of the four ORs in certain cancer types. Elevated levels of <i>OPRM1</i> appear to be associated with poorer outcomes in breast invasive carcinoma and kidney renal clear cell carcinoma. Elevated <i>OPRD1</i> levels are connected to worsen outcomes in kidney renal clear cell carcinoma and liver hepatocellular carcinoma, but better prognosis in bladder urothelial carcinoma. Increased <i>OPRK1</i> (opioid receptor kappa 1 gene) expression is linked to a poorer prognosis in kidney renal papillary cell carcinoma. Furthermore, high <i>OPRL1</i> expression relates to worse outcomes in bladder urothelial carcinoma and liver hepatocellular carcinoma, but better outcomes in breast invasive carcinoma and pancreatic adenocarcinoma. Functional enrichment analyses found that immune-related pathways were enriched in <i>OPRK1</i> and <i>OPRL1</i>, with <i>OPRL1</i> exhibiting the highest correlation with immune cell infiltration. Different effects on cell growth, migration, and invasion were observed in different cancer types upon the administration of agonists for the four ORs.</p><h3>Conclusion</h3><p><i>OPRL1</i> may play a vital role in monocytes and regulating the immune response and tumor-infiltrating macrophages. Due to its high abundance in different types of tumors, it may hold greater clinical significance for onco","PeriodicalId":100082,"journal":{"name":"Anesthesiology and Perioperative Science","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s44254-023-00049-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139604659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Computer-aided drug design (CADD) has emerged as a highly effective and indispensable tool for streamlining the drug discovery process, leading to significant reductions in cost and time. The integration of CADD with machine learning (ML) and deep learning (DL) technologies further enhances its potential and promises novel advancements in the field. In this article, we provide a review of the computational methods employed in the development of novel anesthetics, outlining their respective advantages and limitations. These techniques have demonstrated their utility across various stages of drug discovery, encompassing the exploration of target-ligand interactions, identification and validation of new binding sites, de novo drug design, evaluation and optimization of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties in lead compounds, as well as prediction of adverse effects. Through an in-depth exploration of computational approaches and their applications, this article aims to help relevant researchers develop safer and more effective anesthetic drugs.
{"title":"Anesthetic drug discovery with computer-aided drug design and machine learning","authors":"Xianggen Liu, Zhe Xue, Mingmin Luo, Bowen Ke, Jiancheng Lv","doi":"10.1007/s44254-023-00047-x","DOIUrl":"10.1007/s44254-023-00047-x","url":null,"abstract":"<div><p>Computer-aided drug design (CADD) has emerged as a highly effective and indispensable tool for streamlining the drug discovery process, leading to significant reductions in cost and time. The integration of CADD with machine learning (ML) and deep learning (DL) technologies further enhances its potential and promises novel advancements in the field. In this article, we provide a review of the computational methods employed in the development of novel anesthetics, outlining their respective advantages and limitations. These techniques have demonstrated their utility across various stages of drug discovery, encompassing the exploration of target-ligand interactions, identification and validation of new binding sites, de novo drug design, evaluation and optimization of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties in lead compounds, as well as prediction of adverse effects. Through an in-depth exploration of computational approaches and their applications, this article aims to help relevant researchers develop safer and more effective anesthetic drugs.</p></div>","PeriodicalId":100082,"journal":{"name":"Anesthesiology and Perioperative Science","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s44254-023-00047-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139529489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-08DOI: 10.1007/s44254-023-00046-y
Man Yang, Yinan Zhang
{"title":"Propofol addiction: the mechanism issues we need to know","authors":"Man Yang, Yinan Zhang","doi":"10.1007/s44254-023-00046-y","DOIUrl":"10.1007/s44254-023-00046-y","url":null,"abstract":"","PeriodicalId":100082,"journal":{"name":"Anesthesiology and Perioperative Science","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s44254-023-00046-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139445773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-03DOI: 10.1007/s44254-023-00039-x
Qing-wei Zhang, Xin Wang, Zhong-yun Wang, He-liang Sun
Purpose
The current study was designed to investigate the analgesic effect of esketamine on patients underwent thoracoscopic surgery and the underlying mechanism.
Methods
In this randomized, double blind, placebo-controlled study, 60 patients scheduled to undergo thoracoscopic lobectomy or segmentectomy were randomized to two groups to receive esketamine (group ESK) or saline (group SAL), respectively. 0.25 mg·kg−1 esketamine was given in group ESK for induction of anesthesia, and 0.12 mg·kg−1·h−1 esketamine for intraoperative maintenance. Group SAL received an equal volume of saline. The primary outcomes were the visual analogue scale (VAS) pain scores at rest and deep cough state which evaluated at departure from post-anesthesia care unit (PACU) (T1), 6 h, 24 h and 48 h after surgery (T2–T4). The secondary outcomes included the levels of white blood cell (WBC) count, absolute neutrophil count (ANC), interleukin-6 (IL-6), procalcitonin (PCT), anxiety/depression scores at T3, oxygen saturation (SpO2), and adverse reactions.
Results
Esketamine significantly decreased both rest and cough VAS pain scores at T1, and rest pain scores at T1, T2 and T4. Patients in ESK group had significantly lower WBC and ANC levels than SAL group, while the alteration of IL-6 and PCT levels between groups showed no significance. The anxiety scores of patients in both groups were significantly decreased after surgery. However, the depression scores of patients in ESK group did not decrease after surgery when compared with the preoperation. The postoperative SpO2 and the incidence of adverse reaction including postoperative nausea, vomiting, dizziness and dissociative symptom showed no significant difference between two groups (p > 0.05).
Conclusion
Esketamine can alleviate the acute postoperative pain of patients undergoing thoracoscopic surgery without increasing adverse reactions, and the underlying mechanism may be associated with the reduction of postoperative inflammation.
Trial registration
Registered at Chinese Clinical Trial Registry on February 7, 2022 (ChiCTR 2200056524).