Journal of Clinical Laboratory Analysis最新文献

{"title":"Single-Cell Profiling Identifies CLEC5A+ Macrophages as Key Drivers of Thoracic Aortic Aneurysm Via CCL5-Mediated M1 Polarization","authors":"Xiangyu Li,&nbsp;Chunguang Guo,&nbsp;Mingyao Luo,&nbsp;Chang Shu","doi":"10.1002/jcla.70200","DOIUrl":"10.1002/jcla.70200","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Thoracic aortic aneurysm (TAA) is a life-threatening disease with limited therapeutic options, largely due to an incomplete understanding of its pathogenic mechanisms. Inflammation and immune dysregulation are central to TAA progression, yet the specific pathogenic cell subsets and signaling pathways remain unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Single-cell RNA sequencing was performed on aortic tissues from four healthy individuals and four TAA patients. Key immune cell populations were identified through clustering, macrophage subsetting, and M1/M2 polarization scoring. Machine learning (Random Forest and Boruta) across multiple bulk RNA-seq cohorts was used to identify robust biomarkers. Cell–cell communication was analyzed using CellChat and NewCCI. Molecular docking of 2988 FDA-approved drugs was conducted to screen potential CLEC5A inhibitors, followed by cellular validation experiments.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 105,541 cells were profiled, revealing significant alterations in macrophage, dendritic cell, and NK cell proportions in TAA. CLEC5A+ macrophages emerged as the predominant pathogenic subset, exhibiting the highest M1 polarization score. Machine learning consistently identified CLEC5A and SPP1 as stable diagnostic biomarkers across four cohorts (AUC &gt; 0.7). Cell–cell communication revealed strong CCL5-CLEC5A signaling from T/NK cells to macrophages. Molecular docking identified Dioscin as a potential CLEC5A inhibitor. Cellular experiments showed that CCL5-induced M1 polarization was CLEC5A-dependent and could be effectively blocked by Dioscin.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>CLEC5A⁺M1-polarized macrophages are key pathogenic cells in TAA. CLEC5A serves as a robust biomarker, and targeting the CCL5-CLEC5A axis with Dioscin represents a promising therapeutic strategy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 18","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13399845/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147729213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From MyACR to MyμAlbumin: Clinical Validation of a High-Precision, Real-Time Immunoturbidimetric PoC Device for Early Chronic Kidney Disease Detection","authors":"Tullayakorn Plengsuriyakarn,&nbsp;Wanna Chaijaroenkul,&nbsp;Napaporn Youngvises,&nbsp;Kridsada Sirisabhabhorn,&nbsp;Waraporn Bubpha,&nbsp;Kesara Na-Bangchang","doi":"10.1002/jcla.70322","DOIUrl":"10.1002/jcla.70322","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Early detection of Chronic Kidney Disease (CKD) is essential for preventing disease progression, with microalbuminuria serving as a key marker for renal impairment. While conventional laboratory methods are accurate, they often come with high costs and long turnaround times. Our research group previously developed the point-of-care (PoC) MyACR device for determining urine albumin-to-creatinine ratios. Building on this, we introduced MyμAlbumin, a PoC, high-precision immunoturbidimetric device designed for rapid, real-time quantification of urinary albumin.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The MyμAlbumin system uses a 340 nm UV LED and an integrated microcontroller to measure turbidity from specific antigen–antibody interactions. Clinical validation was performed on urine samples from 138 patients at risk for CKD, with device performance compared to a hospital-grade immunoturbidimetric reference method through Spearman's correlation and Bland–Altman analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The MyμAlbumin device demonstrated exceptional diagnostic accuracy, with a sensitivity of 99.11% and a specificity of 98.23%. It maintained a strong linear correlation (<i>R</i>² = 0.9925) across a concentration range of 0–1000 mg/L, with Bland–Altman analysis showing high agreement with the reference method (mean bias of 0.57 mg/L). Urinary albumin levels correlated significantly with elevated blood urea nitrogen (BUN) and serum creatinine. Clinical analysis indicated that microalbuminuria was more prevalent among older patients with diabetes, hypertension, and CKD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The MyμAlbumin device significantly advances PoC testing, surpassing conventional tools in sensitivity and specificity. Its rapid, laboratory-grade results enhance clinical decision-making, making it a transformative tool for early CKD screening in primary care and resource-limited settings.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 18","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13411055/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148603437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Laboratory Autoverification in Complete Blood Count Testing Using Machine Learning: A Performance Evaluation Study","authors":"Sinsorn Srirujee,&nbsp;Peempol Chokchaipermpoonphol","doi":"10.1002/jcla.70335","DOIUrl":"10.1002/jcla.70335","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Autoverification improves laboratory efficiency by reducing manual reviews; however, rule-based systems may lack flexibility, particularly in complete blood count (CBC) testing. Machine learning (ML) can potentially enhance performance by recognizing complex patterns in laboratory data. Therefore, we aimed to evaluate ML-based autoverification systems in classifying CBC results compared to traditional rule-based methods.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This cross-sectional study was conducted at the Hematology Unit of Songklanagarind Hospital, a tertiary care center in southern Thailand. In total, 63,201 CBC results from the Sysmex XN-10 analyzer (January–December 2024) were analyzed. The samples were categorized as verifiable or non-verifiable according to predefined criteria. The data were split 80:20 into training and testing sets. The Random Forest, Decision Tree, and Extreme Gradient Boost models were trained and evaluated against the rule-based system of the hospital using sensitivity, specificity, positive predictive value, and negative predictive value. The feature importance was analyzed for the best-performing model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of all the results, 43,661 (69.1%) were verifiable and 19,540 (30.9%) were non-verifiable, mainly because of white blood cell abnormalities, platelet clumps, or differential discrepancies. In the 12,641-sample test set, all the ML models outperformed the rule-based system. XGBoost achieved the best balance, with a sensitivity of 95%–98% and a specificity of 68%–81% at recall thresholds of 95% and 97.5%, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>ML demonstrated improved performance compared with rule-based autoverification. Although ML may reduce unnecessary manual reviews, validation is required in different settings before clinical adoption.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 18","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13458867/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148706427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and External Validation of Logistic Regression Models Integrating Conventional Complete Blood Count and Cell Population Data for Predicting RT-PCR–Confirmed Dengue","authors":"Lin-Chen Hsu,&nbsp;Yu-Ching Weng,&nbsp;Wen-Chun Liu","doi":"10.1002/jcla.70334","DOIUrl":"10.1002/jcla.70334","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Differentiating dengue from other acute febrile illnesses during initial clinical evaluation remains challenging because of the often-nonspecific nature of presenting manifestations. In this study, logistic regression models were developed and externally validated to predict reverse transcription polymerase chain reaction (RT-PCR)-confirmed dengue by integrating conventional complete blood count (CBC) parameters and cell population data from automated hematology analyzers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This multi-stage retrospective diagnostic accuracy study analyzed conventional CBC parameters and leukocyte-related cell population data (CPD) features for predicting RT-PCR–confirmed dengue. Models were developed in clinically suspected cases based on RT-PCR results from a single hospital and subsequently evaluated using internal validation and three external settings. Regression coefficients and classification cutoff values were fixed based on the training cohort.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In total, 1689 RT-PCR–tested clinical specimens were analyzed (426 dengue-positive and 1263 dengue-negative cases). Compared with RT-PCR–negative febrile controls, dengue-positive cases exhibited lower white blood cell and platelet counts, along with a higher monocyte distribution width (all <i>p</i> &lt; 0.001). A parsimonious primary model based on four predictors achieved an area under the curve (AUC) of 0.86 in the training cohort and 0.85 in internal validation. In the independent hospital cohort, the model maintained strong discrimination (AUC = 0.85), with high sensitivity and negative predictive value using the prespecified training-derived cutoff. Predicted-positive rates remained low in the healthy cohort.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Logistic regression models integrating conventional CBC and leukocyte-related CPD features demonstrated stable performance across validation settings and may facilitate dengue risk stratification using routinely available laboratory data.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 18","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13490774/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148793922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MicroRNA-Mediated Autophagy and Cardiovascular Diseases: Exploring the Crossroads of Atherosclerosis and Beyond","authors":"Sepehr Ebrahimi-Dehkordi,&nbsp;Amir Hossein Barjasteh,&nbsp;Aida Zarei,&nbsp;Sina Bazmi,&nbsp;Sarah Vaseghi,&nbsp;Sara Ashna,&nbsp;Amirreza Solati,&nbsp;Ali Yousefzadeh,&nbsp;Bita Safarzadeh Nasrabad,&nbsp;Zahra Mohammadi,&nbsp;Hamed Haddad Kashani,&nbsp;Mohammad Hossein Pourhanifeh","doi":"10.1002/jcla.70310","DOIUrl":"10.1002/jcla.70310","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Atherosclerosis (AS) is a complex cardiovascular disease characterized by the accumulation of lipids, inflammatory cells, and fibrous materials within arterial walls. Autophagy plays a critical role in maintaining cellular homeostasis and regulating lipid metabolism in vascular cells. MicroRNAs (miRNAs), small non-coding RNA molecules involved in post-transcriptional gene regulation, have emerged as key modulators of autophagy and contributors to AS progression.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This review synthesizes current evidence on the interplay between miRNAs and autophagy in the context of AS and related cardiovascular diseases. A comprehensive literature search was conducted to identify studies investigating miRNA-mediated regulation of autophagic flux, associated molecular pathways, and their implications for vascular health and disease.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Specific miRNAs have been identified as critical regulators of autophagy in AS, influencing autophagic flux through various signaling pathways. These miRNA-mediated mechanisms contribute to lipid metabolism, inflammation, and cellular homeostasis in vascular cells, thereby affecting the initiation and progression of atherosclerotic lesions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Elucidating the regulatory networks linking miRNAs and autophagy provides valuable insights into novel therapeutic strategies targeting aberrant miRNA-mediated autophagy. These findings highlight the potential of miRNAs as therapeutic and diagnostic targets for preventing or mitigating the development of AS and related cardiovascular diseases.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 18","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13548734/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148900794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of Reflex Testing Rules on the Sysmex XN-9100 Automated Hematology Line Improves Efficiency and Reduces Repeat Testing in Different Work Areas","authors":"Lianhui Yu,&nbsp;Min Zhang,&nbsp;Jianying Li,&nbsp;Ping Deng,&nbsp;Haoting Zhan,&nbsp;Wei Wu","doi":"10.1002/jcla.70285","DOIUrl":"10.1002/jcla.70285","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>With the widespread implementation of automated hematology systems, Reflex testing plays a critical role in result verification. However, overly sensitive Reflex rules may lead to excessive repeat testing, increasing workload and prolonging sample turnaround time. This study optimized Reflex rules to improve workflow efficiency while maintaining analytical safety and accuracy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective analysis was performed on 78,364 CBC results generated by the Sysmex XN-9100 hematology automation line in June 2025, including 43,758 outpatient and 34,606 emergency/ward samples. Reflex rules involving LW, PLT-F, WPC, and RET channels were optimized by differentiating initial and follow-up visit samples, introducing a 7-day historical result fluctuation safety range, and simplifying IP message combinations. Middleware simulation compared total Reflex rates and special-channel repeat counts before and after optimization. Existing autoverification logic, critical alert rules, manual review workflow, and high-risk disease-related repeat testing rules were retained.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>After optimization, total Reflex rates decreased significantly in both work areas (<i>p</i> &lt; 0.01), from 16.03% to 14.36% in the outpatient area (relative reduction, 10.43%) and from 24.38% to 15.00% in the emergency/ward area (relative reduction, 38.47%). In the emergency/ward area, PLT-F, WPC, and RET repeat counts decreased by 44.86%, 49.19%, and 61.89%, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>XN automation line Reflex rule optimization reduced unnecessary repeat testing through initial/follow-up visit differentiation and historical fluctuation thresholds while retaining core risk-interception rules, supporting improved hematology workflow efficiency and reduced reagent consumption.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 18","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13399818/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148391103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pediatric Systemic Lupus Erythematosus Complicated by Acute EBV and CMV Co-infection","authors":"Anning Chen,&nbsp;Gengchun Ji,&nbsp;Ziping Lan,&nbsp;Ping Li,&nbsp;Jianwei Wang,&nbsp;Le Zhang,&nbsp;Chaojun Hu,&nbsp;Shulan Zhang","doi":"10.1002/jcla.70330","DOIUrl":"10.1002/jcla.70330","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Systemic lupus erythematosus (SLE) is a multifactorial autoimmune disease characterized by multi-organ damage, with genetic, environmental, and viral factors implicated in its pathogenesis. Herpesviruses such as Epstein–Barr virus (EBV) and cytomegalovirus (CMV) are known to trigger or exacerbate SLE, potentially through mechanisms like molecular mimicry and immune dysregulation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Case Presentation</h3>\u0000 \u0000 <p>We report the case of a 10-year-old girl who presented with a malar rash following sun exposure, accompanied by fever and arthritis. Laboratory investigations revealed the presence of multiple autoantibodies and serological evidence of active co-infection with both EBV and CMV. A diagnosis of SLE with mild activity was established. The patient received intravenous methylprednisolone, belimumab, and oral ganciclovir. This led to significant clinical improvement, including resolution of the facial rash and normalization of joint mobility. Follow-up assessments showed near-complete normalization of inflammatory markers and autoantibody titers. However, causality cannot be established from a single case, and proposed mechanisms remain hypotheses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This case suggests that acute co-infection with EBV and CMV may play a role in the pathogenesis of SLE, possibly via molecular mimicry and B-cell activation. Therefore, routine screening for EBV and CMV in adolescent SLE patients may be warranted to advance etiological research and inform personalized treatment strategies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 17","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13474029/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148758711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plasma Proteomic Profiling Identifies Candidate Biomarkers for Pancreatic Ductal Adenocarcinoma","authors":"Lelang Xiang,&nbsp;Yi Jin,&nbsp;Ran Hu,&nbsp;Yuhang He,&nbsp;Yong Zhang,&nbsp;Ang Li","doi":"10.1002/jcla.70313","DOIUrl":"10.1002/jcla.70313","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy that is often diagnosed after curative treatment is no longer feasible. Existing biomarkers, particularly CA19-9, have limited sensitivity and specificity. Plasma proteins that capture tumor-associated biological alterations may therefore provide useful signals for earlier detection.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Plasma samples from 99 patients with PDAC and 30 healthy controls were analyzed using data-independent acquisition (DIA) proteomics. Differentially expressed proteins were identified using predefined statistical thresholds and further examined by functional enrichment analysis. Selected candidate biomarkers were validated by ELISA in an independent subset.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 565 quantified plasma proteins, 52 were differentially expressed between PDAC and controls. These proteins were enriched in extracellular processes, cholesterol metabolism, complement and coagulation cascades, and pancreatic secretion pathways. ELISA validation confirmed higher plasma levels of Cathepsin S, CTRB2, MARCO, PIGR, PRDX6, REG1A, Trypsin-2, and PEP-FAP in patients with PDAC compared with healthy controls. ROC analyses showed moderate-to-good discriminatory performance for several candidates, and the MARCO + PEP-FAP model improved classification compared with either marker alone.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>These findings reveal circulating proteins linked to key PDAC-related biological processes and identify eight candidates for further evaluation in multi-protein diagnostic panels. Larger validation studies incorporating clinically relevant disease control groups are warranted to determine their diagnostic specificity and clinical utility.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 17","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13399626/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148549249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hematological Inflammation Indices Are Associated With Active Uveitis in Ankylosing Spondylitis","authors":"Mesude Seda Aydoğdu,&nbsp;Zarife Ekici Gök","doi":"10.1002/jcla.70316","DOIUrl":"10.1002/jcla.70316","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study aimed to evaluate the relationship between active uveitis and hematological inflammation indices, specifically the HALP and CALLY scores, in patients with ankylosing spondylitis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This retrospective cross-sectional study included 140 patients with AS. The patients were divided into two groups based on the presence of uveitis. Laboratory data obtained during active uveitis episodes were used for the uveitis group, while routine follow-up data were used for the control group. Hematological inflammation indices were calculated and appropriate statistical analyses were performed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In patients with uveitis, NLR, PLR, SII, and AISI values were found to be significantly higher, while HALP and CALLY scores were significantly lower (all remaining significant after Benjamini-Hochberg FDR correction). SIRI and MLR did not retain significance after FDR correction. In the ROC analysis, the HALP and CALLY indices demonstrated moderate discriminatory performance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Although hematological inflammation indices are associated with the presence of uveitis, they have limited value for diagnostic purposes alone. In clinical practice, however, they may serve as complementary markers for assessing inflammatory burden in patients with AS and may provide supportive information when evaluating active uveitis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 17","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13415239/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148603510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Anemia and Comorbidity Burden on Disease Progression and Outcomes in Chronic Kidney Disease","authors":"Collince Odiwuor Ogolla,&nbsp;Stanslaus Musyoki,&nbsp;Lucy W. Karani,&nbsp;Phidelis Maruti","doi":"10.1002/jcla.70331","DOIUrl":"10.1002/jcla.70331","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Chronic kidney disease progression is influenced by anemia and comorbidities; however, the possibility of a real effect of these two phenomena has hardly been the subject of research.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The present study set out to evaluate the association between anemia and burden of comorbidities on CKD progression and hospitalizations over 1 year.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective study involving 120 adult CKD patients. Anemia was defined as hemoglobin &lt; 13 g/dL in males and &lt; 12 g/dL in females while comorbidity burden was defined by a simple comorbidity index: hypertension, diabetes, and cardiovascular disease. CKD progression was coded as a ≥ 25% decline in eGFR or stage conversion. Multivariate logistic regression identified predictors of hospitalization.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Participants' mean age was 58.3 years, and 53.3% were males. Anemia was present in 67.5% of the cases, and 33.3% had two or more comorbidities. CKD progression was seen in 43.3% at 1 year; patients with anemia and two or more comorbidities showed the highest progression rate at 77.5% (<i>p</i> &lt; 0.001). Progressors had significantly lower hemoglobin and higher RDW values. Hospitalization was documented in 29.2%, and anemia independently predicted hospitalization (OR 3.4); comorbidity index ≥ 2 (OR 2.8), and RDW &gt; 14.5% (OR 2.6). Each 1 g/dL increase in hemoglobin reduced hospitalization risk by 28% (OR 0.72).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Anemia and multiple comorbidities jointly increased the risk of CKD progression and hospitalization. Routine hematological parameters along with assessing comorbidities might have a role to play in early risk stratification and guiding focused interventions in CKD management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"40 17","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13458870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148706398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}