Objective: The current study aimed to determine the roles of pivotal and novel lncRNAs associated with the cell cycle in the occurrence and development of Colorectal cancer (CRC).
Methods: The TCGA-COAD project related to CRC was downloaded, and differential expression analysis was performed to identify differentially expressed lncRNAs, miRNAs, and mRNAs. A cell cycle-associated lncRNA-miRNA-mRNA regulatory network was constructed, and two novel lncRNAs were selected. Two subnetworks were constructed for selected lncRNAs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were illustrated for the genes in each sub-network. qPCR analysis was used to validate the expression levels of the selected lncRNAs in CRC tissues compared to those adjacent normal tissues.
Results: The differential expression analysis identified 416 lncRNAs, 317 miRNAs, and 117 mRNAs. The ceRNA subnetwork genes were associated with different pathways, including cellular senescence, DNA replication, human T-cell leukemia virus 1 infection, and oocyte meiosis. The bioinformatic results based on the TCGA project indicated the dysregulation of two novel lncRNAs, MIR29B2CHG and HELLPAR, in CRC tissues compared to adjacent normal tissues. Moreover, qPCR confirmed the dysregulation of lncRNAs in the CRC tissues. ROC curves revealed that both selected lncRNAs had acceptable specificity and sensitivity as biomarkers.
Conclusion: In conclusion, novel cell cycle-associated lncRNAs have the potential to be understood as the underlying molecular mechanisms that influence CRC. Therefore, these lncRNAs can be considered as promising biomarkers for the diagnosis and treatment of CRC.
{"title":"Construction of a cell cycle-specific lncRNA-miRNA-mRNA network reveals novel key lncRNAs in colorectal cancer.","authors":"Marzieh Naderi Boldaji, Shahrzad Shahbazi, Somayeh Reiisi, Kambiz Ahmadi, Mohammad Mahdevar","doi":"10.1080/1354750X.2024.2431015","DOIUrl":"10.1080/1354750X.2024.2431015","url":null,"abstract":"<p><strong>Objective: </strong>The current study aimed to determine the roles of pivotal and novel lncRNAs associated with the cell cycle in the occurrence and development of Colorectal cancer (CRC).</p><p><strong>Methods: </strong>The TCGA-COAD project related to CRC was downloaded, and differential expression analysis was performed to identify differentially expressed lncRNAs, miRNAs, and mRNAs. A cell cycle-associated lncRNA-miRNA-mRNA regulatory network was constructed, and two novel lncRNAs were selected. Two subnetworks were constructed for selected lncRNAs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were illustrated for the genes in each sub-network. qPCR analysis was used to validate the expression levels of the selected lncRNAs in CRC tissues compared to those adjacent normal tissues.</p><p><strong>Results: </strong>The differential expression analysis identified 416 lncRNAs, 317 miRNAs, and 117 mRNAs. The ceRNA subnetwork genes were associated with different pathways, including cellular senescence, DNA replication, human T-cell leukemia virus 1 infection, and oocyte meiosis. The bioinformatic results based on the TCGA project indicated the dysregulation of two novel lncRNAs, MIR29B2CHG and HELLPAR, in CRC tissues compared to adjacent normal tissues. Moreover, qPCR confirmed the dysregulation of lncRNAs in the CRC tissues. ROC curves revealed that both selected lncRNAs had acceptable specificity and sensitivity as biomarkers.</p><p><strong>Conclusion: </strong>In conclusion, novel cell cycle-associated lncRNAs have the potential to be understood as the underlying molecular mechanisms that influence CRC. Therefore, these lncRNAs can be considered as promising biomarkers for the diagnosis and treatment of CRC.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"565-576"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-11-08DOI: 10.1080/1354750X.2024.2420196
Suchitra Sharma, Aliza Rehan, Ajaswrata Dutta
Background: Radiation-mediated GI injury (RIGI) is observed in humans either due to accidental or intentional exposures. This can only be managed with supporting care and no approved countermeasures are available till now. Early detection and monitoring of RIGI is important for effective medical management and improve survival chances of exposed individuals.
Objective: The present study aims to identify new signatures of RIGI using data mining approach followed by validation of selected hub genes in mice.
Methods: Data mining study was performed using microarray datasets from Gene Expression Omnibus database. The differentially expressed genes were identified and further validated in total-body irradiated mice.
Results: Based on KEGG pathway analysis, lipid metabolism was found as one of the predominant pathways altered in irradiated intestine. Extensive alteration in lipid profile and lipid modification was observed in this tissue. A protein-protein interaction network revealed top 08 hub genes related to lipid metabolism, namely Fabp1, Fabp2, Fabp6, Npc1l1, Ppar-α, Abcg8, Hnf-4α, and Insig1. qRT-PCR analysis revealed significant up-regulation of Fabp6 and Hnf-4α and down-regulation of Fabp1, Fabp2 and Insig1 transcripts in irradiated intestine. Radiation dose and time kinetics study revealed that the selected 05 genes were altered differentially in response to radiation in intestine.
Conclusion: Finding suggests that lipid metabolism is one of the key targets of radiation and its mediators may act as biomarkers in detection and progression of RIGI.
{"title":"A data mining approach to identify key radioresponsive genes in mouse model of radiation-induced intestinal injury.","authors":"Suchitra Sharma, Aliza Rehan, Ajaswrata Dutta","doi":"10.1080/1354750X.2024.2420196","DOIUrl":"10.1080/1354750X.2024.2420196","url":null,"abstract":"<p><strong>Background: </strong>Radiation-mediated GI injury (RIGI) is observed in humans either due to accidental or intentional exposures. This can only be managed with supporting care and no approved countermeasures are available till now. Early detection and monitoring of RIGI is important for effective medical management and improve survival chances of exposed individuals.</p><p><strong>Objective: </strong>The present study aims to identify new signatures of RIGI using data mining approach followed by validation of selected hub genes in mice.</p><p><strong>Methods: </strong>Data mining study was performed using microarray datasets from Gene Expression Omnibus database. The differentially expressed genes were identified and further validated in total-body irradiated mice.</p><p><strong>Results: </strong>Based on KEGG pathway analysis, lipid metabolism was found as one of the predominant pathways altered in irradiated intestine. Extensive alteration in lipid profile and lipid modification was observed in this tissue. A protein-protein interaction network revealed top 08 hub genes related to lipid metabolism, namely Fabp1, Fabp2, Fabp6, Npc1l1, Ppar-α, Abcg8, Hnf-4α, and Insig1. qRT-PCR analysis revealed significant up-regulation of Fabp6 and Hnf-4α and down-regulation of Fabp1, Fabp2 and Insig1 transcripts in irradiated intestine. Radiation dose and time kinetics study revealed that the selected 05 genes were altered differentially in response to radiation in intestine.</p><p><strong>Conclusion: </strong>Finding suggests that lipid metabolism is one of the key targets of radiation and its mediators may act as biomarkers in detection and progression of RIGI.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"505-517"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Talin-1 (TLN1) is crucial in cell migration, metastasis, and cancer development. This study evaluated Talin-1 expression and its clinical significance in gastric cancer (GC), along with human epidermal growth factor receptor-2 (HER-2) expression and its correlation with Talin-1.
Methods: Bioinformatics analysis assessed the potential prognostic value of Talin-1 and HER-2 in GC patients. The study included 223 GC patients (Signet Ring Cells and Intestinal subtypes) and 29 non-malignant tissue samples. Immunohistochemistry (IHC) on tissue microarray slides evaluated Talin-1 and HER-2 expression and clinical significance. Receiver operating characteristic (ROC) curves assessed their diagnostic value.
Results: Bioinformatics identified Talin-1 as a potential prognostic factor and HER-2 as an oncogene in GC. Talin-1 and HER-2 expression increased in SRC-type GC samples compared to non-malignant tissues. High cytoplasmic Talin-1 expression inversely correlated with tumor expansion and invasion in SRC-type GC. Increased HER-2 expression positively correlated with metastasis. ROC curves showed significant diagnostic values for both proteins.
Conclusions: Higher cytoplasmic Talin-1 expression is associated with less invasive tumor behavior, while increased membranous HER-2 expression is associated with metastasis in SRC-type GC. These findings suggest potential use in assessing diagnosis and screening high-risk cancer patients, particularly those with SRC-type GC.
{"title":"Clinical significance of Talin-1 and HER-2 status in different types of gastric carcinoma.","authors":"Farideh Hashemi, Fatemeh Tajik, Leili Saeednejad Zanjani, Masoumeh Dehghan Manshadi, Sadegh Safaei, Pegah Babaheidarian, Fahimeh Fattahi, Roya Ghods, Zahra Madjd","doi":"10.1080/1354750X.2024.2423270","DOIUrl":"10.1080/1354750X.2024.2423270","url":null,"abstract":"<p><strong>Background: </strong>Talin-1 (TLN1) is crucial in cell migration, metastasis, and cancer development. This study evaluated Talin-1 expression and its clinical significance in gastric cancer (GC), along with human epidermal growth factor receptor-2 (HER-2) expression and its correlation with Talin-1.</p><p><strong>Methods: </strong>Bioinformatics analysis assessed the potential prognostic value of Talin-1 and HER-2 in GC patients. The study included 223 GC patients (Signet Ring Cells and Intestinal subtypes) and 29 non-malignant tissue samples. Immunohistochemistry (IHC) on tissue microarray slides evaluated Talin-1 and HER-2 expression and clinical significance. Receiver operating characteristic (ROC) curves assessed their diagnostic value.</p><p><strong>Results: </strong>Bioinformatics identified Talin-1 as a potential prognostic factor and HER-2 as an oncogene in GC. Talin-1 and HER-2 expression increased in SRC-type GC samples compared to non-malignant tissues. High cytoplasmic Talin-1 expression inversely correlated with tumor expansion and invasion in SRC-type GC. Increased HER-2 expression positively correlated with metastasis. ROC curves showed significant diagnostic values for both proteins.</p><p><strong>Conclusions: </strong>Higher cytoplasmic Talin-1 expression is associated with less invasive tumor behavior, while increased membranous HER-2 expression is associated with metastasis in SRC-type GC. These findings suggest potential use in assessing diagnosis and screening high-risk cancer patients, particularly those with SRC-type GC.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"539-556"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142520903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Dengue virus causes illnesses with or without warning indicators for severe complications. There are no clear prognostic signs linked to the disease outcomes.
Methods: Clinical and laboratory parameters among 102 adult including 17 severe dengue (SD), 33 with warning and 52 without warning signs during early and critical phases were analysed by statistical and machine learning (ML) models.
Results: In classical statistics, abnormal ultrasound findings, platelet count and low lymphocytes were significantly linked with SD during the febrile phase, while low creatinine, high sodium and elevated AST/ALT during the critical phase. ML models highlighted AST/ALT and lymphocytes as key markers for distinguishing SD from non-severe dengue, aiding clinical decisions.
Conclusion: Parameters like liver enzymes, platelet counts and USG findings were linked with SD.USG testing at an earlier phase of dengue and a point-of-care system for the quantification of AST/ALT levels may lead to an early prediction of SD.
{"title":"Severity prediction markers in dengue: a prospective cohort study using machine learning approach.","authors":"Aashika Raagavi Jean Pierre, Siva Ranganathan Green, Lokeshmaran Anandaraj, Manikandan Sivaprakasam, Anand Kasirajan, Panneer Devaraju, Srilekha Anumulapuri, Srinivasa Rao Mutheneni, Agieshkumar Balakrishna Pillai","doi":"10.1080/1354750X.2024.2430997","DOIUrl":"10.1080/1354750X.2024.2430997","url":null,"abstract":"<p><strong>Background: </strong>Dengue virus causes illnesses with or without warning indicators for severe complications. There are no clear prognostic signs linked to the disease outcomes.</p><p><strong>Methods: </strong>Clinical and laboratory parameters among 102 adult including 17 severe dengue (SD), 33 with warning and 52 without warning signs during early and critical phases were analysed by statistical and machine learning (ML) models.</p><p><strong>Results: </strong>In classical statistics, abnormal ultrasound findings, platelet count and low lymphocytes were significantly linked with SD during the febrile phase, while low creatinine, high sodium and elevated AST/ALT during the critical phase. ML models highlighted AST/ALT and lymphocytes as key markers for distinguishing SD from non-severe dengue, aiding clinical decisions.</p><p><strong>Conclusion: </strong>Parameters like liver enzymes, platelet counts and USG findings were linked with SD.USG testing at an earlier phase of dengue and a point-of-care system for the quantification of AST/ALT levels may lead to an early prediction of SD.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"557-564"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142667370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-11-08DOI: 10.1080/1354750X.2024.2424388
Fengcui Shi, Jingwen Peng, Haojin Li, Denghai Liu, Li Han, Ying Wang, Qingli Liu, Qian Liu
Context: The age-induced disruption of gut flora, termed gut dysbiosis, is intimately tied to compromised immune function, augmented oxidative stress and a spectrum of age-linked disorders.
Objective: This review examines the fundamental mechanisms employed by probiotic strains to modulate gut microbiota composition and metabolic profiles, mitigate cognitive decline via the gut-brain axis (GBA), modulate gene transcription and alleviate inflammatory responses and oxidative stress.
Conclusion: We elucidate the capacity of probiotics as a precision intervention to restore gut microbiome homeostasis and alleviate age-related conditions, thereby offering a theoretical framework for probiotics to decelerate ageing, manage age-related diseases, and elevate quality of life.
{"title":"Probiotics as a targeted intervention in anti-ageing: a review.","authors":"Fengcui Shi, Jingwen Peng, Haojin Li, Denghai Liu, Li Han, Ying Wang, Qingli Liu, Qian Liu","doi":"10.1080/1354750X.2024.2424388","DOIUrl":"10.1080/1354750X.2024.2424388","url":null,"abstract":"<p><strong>Context: </strong>The age-induced disruption of gut flora, termed gut dysbiosis, is intimately tied to compromised immune function, augmented oxidative stress and a spectrum of age-linked disorders.</p><p><strong>Objective: </strong>This review examines the fundamental mechanisms employed by probiotic strains to modulate gut microbiota composition and metabolic profiles, mitigate cognitive decline <i>via</i> the gut-brain axis (GBA), modulate gene transcription and alleviate inflammatory responses and oxidative stress.</p><p><strong>Conclusion: </strong>We elucidate the capacity of probiotics as a precision intervention to restore gut microbiome homeostasis and alleviate age-related conditions, thereby offering a theoretical framework for probiotics to decelerate ageing, manage age-related diseases, and elevate quality of life.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"577-585"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-11-22DOI: 10.1080/1354750X.2024.2422965
Francisco Cezar Aquino de Moraes, Luis Eduardo Rodrigues Sobreira, Maria Eduarda Cavalcanti Souza, Rommel Mario Rodríguez Burbano
Background: Gastric cancer (GC) is a major global cause of cancer mortality, with a median overall survival of just 12 months. CLDN18.2, a specific isoform of Claudin18 normally expressed in the gastric mucosa, has emerged as a potential therapeutic target and prognostic biomarker due to its exposure on the surface of tumor cells following malignant transformation. This exposure allows CLDN18.2's extracellular loops to bind monoclonal antibodies, presenting new opportunities for targeted therapy and improved prognostic assessment.
Methods: A comprehensive search of PubMed, EMBASE, Cochrane Library, and Web of Science databases was conducted for studies that addressed the correlation of CLDN18.2 with: (1) Progression-free survival (PFS) and (2) Overall Survival (OS). Hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (CIs) were calculated using a fixed-effects model. Heterogeneity was examined with I2 statistics. P values of ≤ 0.05 were considered statistically significant. Statistical analyses were performed using RStudio, version 4.2.3.
Results: A total of 15 studies encompassing a total of 4,085 patients were included. There were 2,691 (65.8%) male and 1,394 (34.2%) female patients. In the histologic GC analysis, there were 1,582 (38.7%) patients that had intestinal type and 1,280 (31.3%) with diffuse type. Patients with CLDN18.2 negative status exhibited a non-significant trend towards prolonged PFS (HR: 1.25; 95% CI: 0.98-1.61; p = 0.07; I2 = 18%) and a significant prolonged OS (HR: 1.20; 95% CI: 1.07-1.34; p < 0.01; I2 = 37%) when compared to CLDN18.2-positive patients.
Conclusion: Our findings establish CLDN18.2 as a robust negative prognostic indicator for overall survival in GC patients. While its impact on PFS was not statistically significant, the association with OS suggests CLDN18.2 may serve as a marker for complex biological processes underlying tumor advancement.
{"title":"The role of CLDN18.2 in gastric cancer prognosis: a systematic review and meta-analysis.","authors":"Francisco Cezar Aquino de Moraes, Luis Eduardo Rodrigues Sobreira, Maria Eduarda Cavalcanti Souza, Rommel Mario Rodríguez Burbano","doi":"10.1080/1354750X.2024.2422965","DOIUrl":"10.1080/1354750X.2024.2422965","url":null,"abstract":"<p><strong>Background: </strong>Gastric cancer (GC) is a major global cause of cancer mortality, with a median overall survival of just 12 months. CLDN18.2, a specific isoform of Claudin18 normally expressed in the gastric mucosa, has emerged as a potential therapeutic target and prognostic biomarker due to its exposure on the surface of tumor cells following malignant transformation. This exposure allows CLDN18.2's extracellular loops to bind monoclonal antibodies, presenting new opportunities for targeted therapy and improved prognostic assessment.</p><p><strong>Methods: </strong>A comprehensive search of PubMed, EMBASE, Cochrane Library, and Web of Science databases was conducted for studies that addressed the correlation of CLDN18.2 with: (1) Progression-free survival (PFS) and (2) Overall Survival (OS). Hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (CIs) were calculated using a fixed-effects model. Heterogeneity was examined with <i>I</i><sup>2</sup> statistics. <i>P</i> values of ≤ 0.05 were considered statistically significant. Statistical analyses were performed using RStudio, version 4.2.3.</p><p><strong>Results: </strong>A total of 15 studies encompassing a total of 4,085 patients were included. There were 2,691 (65.8%) male and 1,394 (34.2%) female patients. In the histologic GC analysis, there were 1,582 (38.7%) patients that had intestinal type and 1,280 (31.3%) with diffuse type. Patients with CLDN18.2 negative status exhibited a non-significant trend towards prolonged PFS (HR: 1.25; 95% CI: 0.98-1.61; <i>p</i> = 0.07; <i>I</i><sup>2</sup> = 18%) and a significant prolonged OS (HR: 1.20; 95% CI: 1.07-1.34; <i>p</i> < 0.01; <i>I</i><sup>2</sup> = 37%) when compared to CLDN18.2-positive patients.</p><p><strong>Conclusion: </strong>Our findings establish CLDN18.2 as a robust negative prognostic indicator for overall survival in GC patients. While its impact on PFS was not statistically significant, the association with OS suggests CLDN18.2 may serve as a marker for complex biological processes underlying tumor advancement.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"528-538"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142494167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: This study aimed to evaluate presepsin, calprotectin, and interleukin-6 levels together in terms of their utility in the diagnosis of acute appendicitis and distinguishing complicated acute appendicitis cases. In addition, it was attempted to identify a biomarker that would be most useful in diagnosing acute appendicitis.
Methods: This study was conducted prospectively at the emergency department of a tertiary hospital. Patients diagnosed with AA from July 3, 2023, through January 1, 2024, were evaluated. 45 patients with acute appendicitis and 45 healthy volunteers were included in the study. Presepsin, calprotectin, and interleukin-6 levels were measured in both groups and subjected to statistical analyses.
Results: To ensure equality between the two groups participating in the study, 17 female and 28 male patients were included in each group. The presepsin, calprotectin, and interleukin-6 levels of the patients with appendicitis were significantly higher than those of the healthy group (p < 0.001 for all). However, presepsin, calprotectin, and interleukin-6 were not significant parameters in differentiating between complicated and uncomplicated appendicitis (p = 0.493, p = 0.202, and p = 0.448, respectively).
Conclusion: Presepsin, calprotectin, and interleukin-6 levels may be useful in diagnosing acute appendicitis but would be insufficient in identifying complicated cases.
{"title":"Usability of presepsin, calprotectin, and interleukin 6 in the diagnosis of acute appendicitis.","authors":"Emine Ozdal, Fatma Tortum, Esra Laloglu, Esra Egilmez, Kamber Kasali","doi":"10.1080/1354750X.2024.2415077","DOIUrl":"10.1080/1354750X.2024.2415077","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate presepsin, calprotectin, and interleukin-6 levels together in terms of their utility in the diagnosis of acute appendicitis and distinguishing complicated acute appendicitis cases. In addition, it was attempted to identify a biomarker that would be most useful in diagnosing acute appendicitis.</p><p><strong>Methods: </strong>This study was conducted prospectively at the emergency department of a tertiary hospital. Patients diagnosed with AA from July 3, 2023, through January 1, 2024, were evaluated. 45 patients with acute appendicitis and 45 healthy volunteers were included in the study. Presepsin, calprotectin, and interleukin-6 levels were measured in both groups and subjected to statistical analyses.</p><p><strong>Results: </strong>To ensure equality between the two groups participating in the study, 17 female and 28 male patients were included in each group. The presepsin, calprotectin, and interleukin-6 levels of the patients with appendicitis were significantly higher than those of the healthy group (<i>p</i> < 0.001 for all). However, presepsin, calprotectin, and interleukin-6 were not significant parameters in differentiating between complicated and uncomplicated appendicitis (<i>p</i> = 0.493, <i>p</i> = 0.202, and <i>p</i> = 0.448, respectively).</p><p><strong>Conclusion: </strong>Presepsin, calprotectin, and interleukin-6 levels may be useful in diagnosing acute appendicitis but would be insufficient in identifying complicated cases.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"479-484"},"PeriodicalIF":4.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142406000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01Epub Date: 2024-10-31DOI: 10.1080/1354750X.2024.2418579
Mingfang Huang, Xiuming Huang, Liang Li
Introduction: The enhancer of rudimentary homolog (ERH) is significant in cancers, but its role in lung cancer is understudied.
Methods: We divided lung cancer patients into high and low ERH expression groups based on tumour tissue levels. Using the log-rank test, we analysed the correlation between ERH expression and patient prognosis. The effects of high ERH expression on lung cancer cell proliferation, migration, and invasion were assessed using CCK8, EDU, transwell, and wound healing assays.
Results: ERH expression was significantly higher in cancerous versus normal lung tissue (p < 0.05), including lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Patients with high ERH expression had worse overall survival (HR = 1.37, p = 2.5 × 1 0 -7) and first progression survival (HR = 1.38, p = 0.00065) in lung cancer. However, while high ERH expression predicts an unfavourable prognosis in LUAD, it does not hold true for LUSC. Furthermore, knockdown of ERH inhibited lung cancer cell proliferation, migration, and invasion. ERH expression was linked to immune cell infiltration. High ERH expression in LUAD and LUSC samples correlated with higher CD8 T cell, T cells CD4 memory activated, and M1 macrophages abundance, while low ERH expression correlated with higher T cells CD4 memory resting abundance.
Conclusion: Upregulation of ERH in lung cancer tissue is associated with poor prognosis and immune cell infiltration.
{"title":"ERH is a prognostic biomarker associated with immune cell infiltration in lung cancer.","authors":"Mingfang Huang, Xiuming Huang, Liang Li","doi":"10.1080/1354750X.2024.2418579","DOIUrl":"10.1080/1354750X.2024.2418579","url":null,"abstract":"<p><strong>Introduction: </strong>The enhancer of rudimentary homolog (ERH) is significant in cancers, but its role in lung cancer is understudied.</p><p><strong>Methods: </strong>We divided lung cancer patients into high and low ERH expression groups based on tumour tissue levels. Using the log-rank test, we analysed the correlation between ERH expression and patient prognosis. The effects of high ERH expression on lung cancer cell proliferation, migration, and invasion were assessed using CCK8, EDU, transwell, and wound healing assays.</p><p><strong>Results: </strong>ERH expression was significantly higher in cancerous versus normal lung tissue (<i>p</i> < 0.05), including lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Patients with high ERH expression had worse overall survival (HR = 1.37, <i>p</i> = 2.5 × 1 0 <sup>-7</sup>) and first progression survival (HR = 1.38, <i>p</i> = 0.00065) in lung cancer. However, while high ERH expression predicts an unfavourable prognosis in LUAD, it does not hold true for LUSC. Furthermore, knockdown of ERH inhibited lung cancer cell proliferation, migration, and invasion. ERH expression was linked to immune cell infiltration. High ERH expression in LUAD and LUSC samples correlated with higher CD8 T cell, T cells CD4 memory activated, and M1 macrophages abundance, while low ERH expression correlated with higher T cells CD4 memory resting abundance.</p><p><strong>Conclusion: </strong>Upregulation of ERH in lung cancer tissue is associated with poor prognosis and immune cell infiltration.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"466-478"},"PeriodicalIF":2.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01Epub Date: 2024-10-17DOI: 10.1080/1354750X.2024.2415072
Hanan Safwat Salah Elden Hassan, Walaa A Moselhy, Marwa A Ibrahim, Ayman H Zaki, Fatma Khalil, Eman I Hassanen, Doaa R I Abdel-Gawad
Introduction: Our investigation aims to appraise the neuroprotective impact of Bone Marrow-Mesenchymal Stem Cells (BM-MSCs) derived exosomes against Ag NPs-inducing neurotoxicity in rats.
Materials and methods: Twenty-four albino rats were divided into 3 groups. Group I (control negative), Group II (intraperitoneally injected with Ag NPs for 28 days, whereas Group III (intraperitoneally injected with Ag NP and BM-MSCs derived exosomes.
Results: There was a marked elevation of Malondialdehyde (MDA) along with a reduction of brain antioxidants, Gamma-aminobutyric acid (GABA) and Monoamine Oxidase (MAO) in the Ag NPs receiving group. Ag NPs upregulated c-Jun N-terminal Kinases (JNK) genes and c-Myc and downregulated the tissue inhibitors of metalloproteinases (TIMP-1) and Histone deacetylase 1 (HDAC1) genes. Otherwise, the co-treatment of BM-MSCs derived exosomes with Ag NPs could markedly increase the rat's body weight, activity and learning while, decreasing anxiety, restoring all the toxicological parameters and improving the microscopic appearance of different brain areas.
Conclusion: BM-MSCs-derived exosomes downregulated both apoptotic and inflammatory mediators and upregulated the antiapoptotic genes. BM-MSCs-derived exosomes exhibit a great therapeutic effect against the neurotoxic effects of Ag NPs.
{"title":"Exosomal therapy mitigates silver nanoparticles-induced neurotoxicity in rats.","authors":"Hanan Safwat Salah Elden Hassan, Walaa A Moselhy, Marwa A Ibrahim, Ayman H Zaki, Fatma Khalil, Eman I Hassanen, Doaa R I Abdel-Gawad","doi":"10.1080/1354750X.2024.2415072","DOIUrl":"10.1080/1354750X.2024.2415072","url":null,"abstract":"<p><strong>Introduction: </strong>Our investigation aims to appraise the neuroprotective impact of Bone Marrow-Mesenchymal Stem Cells (BM-MSCs) derived exosomes against Ag NPs-inducing neurotoxicity in rats.</p><p><strong>Materials and methods: </strong>Twenty-four albino rats were divided into 3 groups. Group I (control negative), Group II (intraperitoneally injected with Ag NPs for 28 days, whereas Group III (intraperitoneally injected with Ag NP and BM-MSCs derived exosomes.</p><p><strong>Results: </strong>There was a marked elevation of Malondialdehyde (MDA) along with a reduction of brain antioxidants, Gamma-aminobutyric acid (GABA) and Monoamine Oxidase (MAO) in the Ag NPs receiving group. Ag NPs upregulated c-Jun N-terminal Kinases (JNK) genes and c-Myc and downregulated the tissue inhibitors of metalloproteinases (TIMP-1) and Histone deacetylase 1 (HDAC1) genes. Otherwise, the co-treatment of BM-MSCs derived exosomes with Ag NPs could markedly increase the rat's body weight, activity and learning while, decreasing anxiety, restoring all the toxicological parameters and improving the microscopic appearance of different brain areas.</p><p><strong>Conclusion: </strong>BM-MSCs-derived exosomes downregulated both apoptotic and inflammatory mediators and upregulated the antiapoptotic genes. BM-MSCs-derived exosomes exhibit a great therapeutic effect against the neurotoxic effects of Ag NPs.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"442-458"},"PeriodicalIF":2.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01Epub Date: 2024-10-17DOI: 10.1080/1354750X.2024.2415463
Hongsheng Wu, Biling Liao, Tengfei Ji, Jianbin Huang, Keqiang Ma, Yumei Luo
Background: C-reactive protein (CRP) is a pentameric protein commonly used as a biomarker of inflammation or stress response which can be obtained during routine blood tests. Therefore, we conducted a systematic review and meta-analysis to explore its ability to predict the severity of acute pancreatitis (AP). This meta-analysis was registered in the PROSPERO system (registration number: CRD42022353769).
Methods: 41 studies with 6156 cases of acute pancreatitis, retrieved from PubMed, Cochrane Library, Springer, and Embase databases, were incorporated. We calculated the pooled estimates for predicting the severity of acute pancreatitis based on CRP levels. We also calculated the combined negative likelihood ratio (NLR), combined positive likelihood ratio (PLR) and combined diagnostic odds ratio (DOR) using a bivariate mixed model. Sensitivity analysis was used to examine the robustness of the results. Factors associated with heterogeneity were identified by meta-regression analysis. A summary operating characteristic (SROC) curve was generated to assess the diagnostic value of CRP in predicting severe acute pancreatitis. Fagan's test was used to calculate likelihood ratios and post-test probabilities, and publication bias was gauged by asymmetry tests.
Results: SROC analysis yielded an AUC of 0.85 (95%CI: 0.81-0.88) with a sensitivity of 0.76 (95%CI: 0.69-0.83) and specificity of 0.79 (95%CI: 0.74-0.83). The combined NLR, PLR and DOR were 0.30 (0.23-0.40), 3.66 (2.94-4.55) and 12.19 (8.05-18.44) respectively. Sensitivity analysis demonstrated the stability of our results after omitting any study. Finally, meta-regression analysis indicated that the description of the reference test, prospective design, blinding method and spectrum of the disease could account for heterogeneity in this meta-analysis.
Conclusion: CRP has significant value as a biomarker for assessing AP severity. Besides, other parameters such as patient history, physical signs, and imaging should be considered to determine disease severity.
{"title":"Diagnostic value of CRP for predicting the severity of acute pancreatitis: a systematic review and meta-analysis.","authors":"Hongsheng Wu, Biling Liao, Tengfei Ji, Jianbin Huang, Keqiang Ma, Yumei Luo","doi":"10.1080/1354750X.2024.2415463","DOIUrl":"10.1080/1354750X.2024.2415463","url":null,"abstract":"<p><strong>Background: </strong>C-reactive protein (CRP) is a pentameric protein commonly used as a biomarker of inflammation or stress response which can be obtained during routine blood tests. Therefore, we conducted a systematic review and meta-analysis to explore its ability to predict the severity of acute pancreatitis (AP). This meta-analysis was registered in the PROSPERO system (registration number: CRD42022353769).</p><p><strong>Methods: </strong>41 studies with 6156 cases of acute pancreatitis, retrieved from PubMed, Cochrane Library, Springer, and Embase databases, were incorporated. We calculated the pooled estimates for predicting the severity of acute pancreatitis based on CRP levels. We also calculated the combined negative likelihood ratio (NLR), combined positive likelihood ratio (PLR) and combined diagnostic odds ratio (DOR) using a bivariate mixed model. Sensitivity analysis was used to examine the robustness of the results. Factors associated with heterogeneity were identified by meta-regression analysis. A summary operating characteristic (SROC) curve was generated to assess the diagnostic value of CRP in predicting severe acute pancreatitis. Fagan's test was used to calculate likelihood ratios and post-test probabilities, and publication bias was gauged by asymmetry tests.</p><p><strong>Results: </strong>SROC analysis yielded an AUC of 0.85 (95%CI: 0.81-0.88) with a sensitivity of 0.76 (95%CI: 0.69-0.83) and specificity of 0.79 (95%CI: 0.74-0.83). The combined NLR, PLR and DOR were 0.30 (0.23-0.40), 3.66 (2.94-4.55) and 12.19 (8.05-18.44) respectively. Sensitivity analysis demonstrated the stability of our results after omitting any study. Finally, meta-regression analysis indicated that the description of the reference test, prospective design, blinding method and spectrum of the disease could account for heterogeneity in this meta-analysis.</p><p><strong>Conclusion: </strong>CRP has significant value as a biomarker for assessing AP severity. Besides, other parameters such as patient history, physical signs, and imaging should be considered to determine disease severity.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"494-503"},"PeriodicalIF":2.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}