Faysal Şaylık, Tufan Çınar, Murat Selçuk, İbrahim Halil Tanboğa
{"title":"Machine learning algorithms using the inflammatory prognostic index for contrast-induced nephropathy in NSTEMI patients.","authors":"Faysal Şaylık, Tufan Çınar, Murat Selçuk, İbrahim Halil Tanboğa","doi":"10.1080/17520363.2024.2422810","DOIUrl":"https://doi.org/10.1080/17520363.2024.2422810","url":null,"abstract":"<p><p><b>Aim:</b> Inflammatory prognostic index (IPI), has been shown to be related with poor outcomes in cancer patients. We aimed to investigate the predictive role of IPI for contrast-induced nephropathy (CIN) development in non-ST segment elevation myocardial infarction patients using a nomogram and performing machine learning (ML) algorithms.<b>Materials & methods:</b> A total of 178 patients with CIN (+) and 1511 with CIN (-) were included.<b>Results:</b> CIN (+) patients had higher IPI levels, and IPI was independently associated with CIN. A risk prediction nomogram including IPI had a higher predictive ability and good calibration. Naive Bayes and k-nearest neighbors were the best ML algorithms for the prediction of CIN patients.<b>Conclusion:</b> IPI might be used as an easily obtainable marker for CIN prediction using ML algorithms.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"1-9"},"PeriodicalIF":1.9,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142615015","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}
Saleema Mehboob Ali, Yumna Adnan, Zubair Ahmad, Tabish Chawla, Sm Adnan Ali
{"title":"Proteomic biomarkers profiling in Pakistani pancreatic ductal adenocarcinoma population: a retrospective cohort study.","authors":"Saleema Mehboob Ali, Yumna Adnan, Zubair Ahmad, Tabish Chawla, Sm Adnan Ali","doi":"10.1080/17520363.2024.2416888","DOIUrl":"https://doi.org/10.1080/17520363.2024.2416888","url":null,"abstract":"<p><p><b>Aim:</b> Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancers. Research in various cancers suggests that investigating target biomarkers may provide directions to precision medicine. However, expression of biomarkers varies across different populations. The biomarker profile of Pakistani patients with PDAC remains unexplored.<b>Materials & methods:</b> We conducted a study on 109 patients to analyze a panel of four proteins (KRAS, p53, BRCA1 and APC) using formalin-fixed paraffin-embedded tumor samples. After confirmation of diagnosis and appropriate tumor content, tissues were processed with antibody specific immunohistochemistry experiments. Subsequently, independent microscopic observation was conducted by two pathologists using scoring criteria specific for each antibody.<b>Results:</b> Statistical analysis showed that negative expression of p53 was significantly associated with positive expression of BRCA1 (<i>p</i> = 0.000) and APC (<i>p</i> = 0.007). The expression of BRCA1 was also found significantly associated with APC (<i>p</i> = 0.028). None of the protein showed association with overall survival or patient demographics. Moreover, KRAS expression was shown to be significantly associated with perineural invasion (<i>p</i> = 0.005).<b>Conclusion:</b> This is the first study that investigates protein biomarker expression in a large cohort of Pakistani PDAC patients. The findings from the study may provide directions about the population specific biomarkers and targeted therapies for these patients.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"1-14"},"PeriodicalIF":1.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142603108","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}
Ozan Tezen, Mert İlker Hayıroğlu, Levent Pay, Ahmet Çağdaş Yumurtaş, Kıvanç Keskin, Tuğba Çetin, Şeyda Dereli, Hikmet Kadığoğlu, Furkan Fatih Yücedağ, Ertan Arter, Şennur Ünal Dayı
{"title":"The role of systemic immune-inflammatory index in predicting contrast-induced nephropathy in non-ST-segment elevation myocardial infarction cases.","authors":"Ozan Tezen, Mert İlker Hayıroğlu, Levent Pay, Ahmet Çağdaş Yumurtaş, Kıvanç Keskin, Tuğba Çetin, Şeyda Dereli, Hikmet Kadığoğlu, Furkan Fatih Yücedağ, Ertan Arter, Şennur Ünal Dayı","doi":"10.1080/17520363.2024.2415284","DOIUrl":"https://doi.org/10.1080/17520363.2024.2415284","url":null,"abstract":"<p><p><b>Aim:</b> Systemic immune-inflammation index (SII) is obtained by multiplying the platelets by the ratio of neutrophils to lymphocytes. We aimed to examine the relationship between contrast induced nephropathy (CIN) development and SII in non-ST-segment elevation myocardial infarction (NSTEMI) patients.<b>Methods:</b> 1124 NSTEMI patients included and divided into two groups according to the development of CIN. The relationship between SII and CIN development was examined.<b>Results:</b> Among two groups, significant differences were observed in terms of age, chronic renal failure, presence of critical stenoses in the LAD, SII and C-reactive protein (CRP). It was calculated that a value of 709 and above for SII had a predictive power with 74% sensitivity and 74% specificity for CIN.<b>Conclusion:</b> SII has the potential to predict the development of CIN in NSTEMI patients.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"1-8"},"PeriodicalIF":1.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142521046","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}
{"title":"WTAP-mediated m6A modification regulates NLRP3/Caspase-1/GSDMD to inhibit pyroptosis and exacerbate colorectal cancer.","authors":"Anwei Mo, Huaiwen Wang","doi":"10.1080/17520363.2024.2416886","DOIUrl":"https://doi.org/10.1080/17520363.2024.2416886","url":null,"abstract":"<p><p><b>Aim:</b> Wilms' tumor 1-associating protein (WTAP), plays a part in colorectal cancer (CRC) progression. However, it is not yet known how WTAP affects cancer progression by influencing leukocyte rich repeat containing proteins (NLR) - family members 3 (NLRP3) - related inflammasomes.<b>Materials & methods:</b> We first validated the expression of WTAP in CRC at the tissue and cellular levels. Subsequently, by transfecting si-NC and si-WTAP into cells, we verified functions of WTAP in proliferation, invasion, migration and apoptosis of CRC cells. Finally, we analyzed the N6-methyladenosine (m6A) modification of NLRP3 by WTAP using methylated RNA immunoprecipitation (MeRIP)-qPCR technology, confirming that WTAP mediated the repression of NLRP3 inflammasome and the malignant progression of tumor cells.<b>Results:</b> WTAP was substantially upregulated in CRC tissues and cells. WTAP reinforced the migration, proliferation and invasion ability of CRC cells, and repressed apoptosis. Mechanistically, WTAP mediated the m6A modification of NLRP3, which suppressed the expression of NLRP3 and dampened the NLRP3/Caspase-1/GSDMD axis activation as well as pyroptosis, thereby facilitating the malignant progression of CRC.<b>Conclusion:</b> WTAP mediates m6A modification to modulate the repression of the NLRP3/Caspase-1/GSDMD axis in pyroptosis, reinforcing the malignant progression of CRC.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"1-11"},"PeriodicalIF":1.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142521047","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}
{"title":"Epithelial membrane protein 1 in human cancer: a potential diagnostic biomarker and therapeutic target.","authors":"Yuxin Xie, Feng Wu, Zhe Chen, Yu Hou","doi":"10.1080/17520363.2024.2416887","DOIUrl":"10.1080/17520363.2024.2416887","url":null,"abstract":"<p><p>Epithelial membrane protein 1 (EMP1) is a member of the small hydrophobic membrane protein subfamily. EMP1 is aberrantly expressed in various tumor tissues and governs multiple cellular behaviors (e.g., proliferation, differentiation, and migration). The resultant regulation of the cancer pathway is responsible for the metastasis of cancer cells and determines the risk of malignant tumor progression. This review provides an updated overview of EMP1 as either an oncogene or a tumor suppressor contingent on the cancer type and summarizes its upstream regulators and downstream target genes. This systematic review summarizes our current understanding of the role of EMP1 in malignant tumor development, including critical functional mechanisms and implications for its potential use as the biomarker and therapeutic target.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"1-11"},"PeriodicalIF":1.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142521045","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}
Hyeonwoo Jeon, Doo Young Kim, Si-Woon Park, Bum-Suk Lee, Daham Kim, Hyeong-Wook Han, Namo Jeon
{"title":"Biomarkers in lymphedema assessment: integrating elastography and muti-frequency bioimpedance analysis.","authors":"Hyeonwoo Jeon, Doo Young Kim, Si-Woon Park, Bum-Suk Lee, Daham Kim, Hyeong-Wook Han, Namo Jeon","doi":"10.1080/17520363.2024.2415283","DOIUrl":"https://doi.org/10.1080/17520363.2024.2415283","url":null,"abstract":"<p><p><b>Aim:</b> Multi-frequency bioimpedance analysis (MFBIA) is used to measure lymphedema, but it is a biomarker that is sensitive to stiffness. Lymphedema is a condition that can be accompanied by stiffness, but no studies have considered this, so we tried to use non-invasive elastography as a biomarker for stiffness.<b>Methods & results:</b> This retrospective study included 102 patients with lymphedema, divided into two groups according to the elastography strain ratio: stiff group (elastography strain ratio <0.7, n = 48) and non-stiff group (elastography strain ratio >0.7, n = 54). We estimated the volume of the affected arm based the extracellular water (ECW) volume calculated using MFBIA through a simple linear regression method. The adjusted R2 was 0.044 in the stiff group and 0.729 in the non-stiff group. Stepwise multivariate linear regression was used to investigate the significant factors for estimating the affected arm volume for each group. In the non-stiff group, the significantly associated factors were impedance at 50 kHz, weight, and height (adjusted R<sup>2</sup> = 0.724; <i>p</i> = 0.003). In the stiff group, significant associations were observed among impedance at 250 kHz, impedance at 1 kHz, weight, and height (adjusted R<sup>2</sup> = 0.705, <i>p</i> = 0.041).<b>Conclusion:</b> Considering the characteristics of lymphedema, using MFBIA concurrently with elastography can be useful biomarker for estimating lymphedema.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"1-11"},"PeriodicalIF":1.9,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142495173","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}
Ahmet Karaduman, Cemalettin Yılmaz, Mustafa Ferhat Keten, İsmail Balaban, Barkın Kültürsay, Neşri Danışman, Muhammet Mucahit Tiryaki, Elnur Alizade, Regayip Zehir
{"title":"Prognostic value of pan immune-inflammation value in patients undergoing unprotected left main coronary artery stenting.","authors":"Ahmet Karaduman, Cemalettin Yılmaz, Mustafa Ferhat Keten, İsmail Balaban, Barkın Kültürsay, Neşri Danışman, Muhammet Mucahit Tiryaki, Elnur Alizade, Regayip Zehir","doi":"10.1080/17520363.2024.2412515","DOIUrl":"https://doi.org/10.1080/17520363.2024.2412515","url":null,"abstract":"<p><p><b>Aim:</b> This study aimed long-term prognostic factors for percutaneous coronary intervention (PCI) in left main coronary artery (LMCA) disease, focusing on inflammatory parameters like Pan Immune-Inflammation Value (PIV) and Systemic Immune-Inflammation Index (SII).<b>Materials & methods:</b> This retrospective, observational study involved 121 patients receiving unprotected LMCA PCI.The study's primary end point was MACE, including all-cause death, repeat revascularization and myocardial reinfarction.<b>Results:</b> The PIV and SII scores emerged as independent predictors of MACE occurrence in patients undergoing PCI for unprotected LMCA disease (p:0.045,p:0.048;respectively).In addition, age, ejection fraction, creatinine, shock presentation and the residual syntax score were identified as significant independent predictors of MACE in both models.<b>Conclusion:</b> This study showed a significant, independent correlation between PIV, SII and MACE in patients undergoing PCI for LMCA disease, with PIV showing slightly better predictive capability than SII.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"1-11"},"PeriodicalIF":1.9,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142458180","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}
{"title":"Methemoglobin in critically ill septic patients.","authors":"Atthaphong Phongphithakchai,Akinori Maeda,Yukiko Hikasa,Sofia Spano,Nuttapol Pattamin,Anis Chaba,Glenn Eastwood,Helen Young,Leah Peck,Rinaldo Bellomo","doi":"10.1080/17520363.2024.2395246","DOIUrl":"https://doi.org/10.1080/17520363.2024.2395246","url":null,"abstract":"Aim: Higher nitric oxide (NO) levels correlate with adverse sepsis outcomes but are challenging to measure. Methemoglobin (MetHb), a measurable product of NO, has not been utilized for risk stratification.Methodology: All patients with sepsis admitted to the intensive care unit (ICU) that had at least one MetHb measurement within 24 h of ICU admission were retrospectively analyzed. We assessed the epidemiology and associations of MetHb with hospital mortality.Results: Among 7724 patients, 1046 qualified. Those with MetHb ≥1.6% showed significantly higher mortality and fewer days alive outside the hospital by day 28. MetHb levels ≥1.6% independently predicted increased 28-day mortality.Conclusion: Our findings suggest MetHb, easily obtainable from arterial blood gases, can significantly enhance sepsis risk stratification.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":"189 1","pages":"1-8"},"PeriodicalIF":2.2,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265069","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}
{"title":"Systemic immune-inflammation and prognostic immune nutritional index in oral squamous cell carcinoma patients.","authors":"Zhenzhen Li,Shaowen Ge,Chi Song,Yaning Li,Xiaofei Xie,Li Xu,Shengkai Liao,Kai Zhang","doi":"10.1080/17520363.2024.2394390","DOIUrl":"https://doi.org/10.1080/17520363.2024.2394390","url":null,"abstract":"Aim: To investigate the systemic immune-inflammation index and prognostic immune nutritional index in the prognostic evaluation of oral squamous cell carcinoma.Materials & methods: We analyzed retrospectively the relationship between systemic immune-inflammation index, prognostic immune nutritional index and clinicopathological variables and the overall survival of 262 patients who underwent radical surgery.Results: Multivariate analysis showed high systemic immune-inflammation index (Hazard ratio = 3.062, 95% CI: 1.021-8.251), low prognostic immune nutritional index (Hazard ratio = 0.297, 95% CI: 0.139-0.636), tumor node metastasis classification 3-4 (Hazard ratio = 9.862, 95% CI: 4.658-20.880) patients have worse overall survival.Conclusion: Preoperative systemic immune-inflammation index and prognostic immune nutritional index are independent risk factors for prognostic survival status in oral squamous cell carcinoma.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":"32 1","pages":"1-12"},"PeriodicalIF":2.2,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265070","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}
{"title":"Comparison of inflammatory markers for the prediction of atrial fibrillation recurrence following cryoablation.","authors":"Koray Kalenderoglu,Mert Ilker Hayiroglu,Tufan Cinar,Melih Oz,Gokcem Ayan Bayraktar,Ridvan Cam,Kadir Gurkan","doi":"10.1080/17520363.2024.2395236","DOIUrl":"https://doi.org/10.1080/17520363.2024.2395236","url":null,"abstract":"Aim: The aim of this study is to investigate the value of inflammatory markers for atrial fibrillation (AF) recurrence prediction after cryo-balloon ablation (CA).Materials & methods: The study included 399 patients divided into two groups by AF recurrence after CA. Inflammatory markers including uric acid/albumin ratio (UAR), systemic immune inflammation index (SIII) and CRP/albumin ratio (CAR) were evaluated.Results: UAR, SIII, and CAR were independently associated with the risk of recurrence in AF patients following CA. In ROC curve analysis, CAR had a greater area under curve (AUC:0.73) value than either SIII (AUC:0.68) or UAR (AUC:0.64).Conclusion: Our study results indicate that CAR compared with SIII and UAR had a greater predictive value than others inflammatory markers in predicting AF recurrence post-CA.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":"21 1","pages":"1-9"},"PeriodicalIF":2.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203879","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}