iLABMED最新文献

{"title":"Progress of Cell Sorting in Flow Cytometry","authors":"Baijun Cai,&nbsp;Jiaxuan Ding,&nbsp;Yaxiaer Yalikun,&nbsp;Dahai Ren","doi":"10.1002/ila2.70000","DOIUrl":"https://doi.org/10.1002/ila2.70000","url":null,"abstract":"<p>Flow cytometry is a powerful technique for rapidly analyzing the physical and biological characteristics of small biological particles, such as cells, as well as sorting specific targets. This capability has made it indispensable in a range of biological fields, including cell sequencing, drug development, medical diagnosis, and environmental monitoring. Over the past few decades, these areas have been revolutionized by significant advancements in flow cytometry, facilitated by the expansion of bio-particle sorting applications. In particular, various innovative sorting technologies with improved detection accuracy have emerged. This paper reviews the principles and current development of conventional and microfluidic sorting approaches in flow cytometry and further introduces the diverse applications of flow cytometry in fields such as oncology and immunology. Despite notable progress, further research is essential to improve the accuracy of sorting and applicability of flow cytometry.</p>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"96-105"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741233","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}

{"title":"The Immune-Related Gene CD48 Is a Prognostic Biomarker Associated With the Breast Cancer Tumor Microenvironment","authors":"Yi Zhao,&nbsp;Hengheng Zhang,&nbsp;Wenwen Wang,&nbsp;Guoshuang Shen,&nbsp;Miaozhou Wang,&nbsp;Zhen Liu,&nbsp;Jiuda Zhao,&nbsp;Jinming Li","doi":"10.1002/ila2.70005","DOIUrl":"https://doi.org/10.1002/ila2.70005","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>While tumor cells can affect the biological behavior of malignant tumors, the tumor microenvironment (TME) also plays an important role in the occurrence, development, and metastasis of tumors. The dynamic changes in the immune and stromal components of the TME and their correlations with breast cancer (BCa) patient prognosis may help guide clinical practice.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this study, transcriptomic data and clinical information of BCa samples were obtained from The Cancer Genome Atlas database. The immune score and matrix score were calculated using the ESTIMATE algorithm. Examining the differentially expressed genes (DEGs), protein–protein interaction network development, and univariate Cox analysis helped identify CD48 as a key BCa-related gene.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The DEG and survival analysis results showed that CD48 was significantly upregulated in BCa samples compared with normal samples, potentially affecting patient prognosis. Gene set enrichment analysis showed that high CD48 expression was mainly associated with immune-related pathways, suggesting that CD48 may be an important factor for maintaining an immune-dominant TME in BCa. Analysis of tumor-infiltrating immune cell types showed that high expression of CD48 could inhibit the infiltration of M2 macrophages and promote the entry of CD8+ T cells, CD4+ T cells, and M1 macrophages into the TME to exert anti-tumor effects.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>CD48 may serve as an effective biomarker for predicting BCa patient prognosis and a potential immune-related therapeutic target.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"51-63"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741231","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}

{"title":"The Significance and Diagnostic Potential of CEA and FIB in Colorectal Cancer","authors":"Lin Zhu,&nbsp;Jie Feng,&nbsp;Xu Zhang,&nbsp;Xuemei Wei,&nbsp;Cuiling Ming,&nbsp;Yanhong Gao","doi":"10.1002/ila2.70003","DOIUrl":"https://doi.org/10.1002/ila2.70003","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Colorectal cancer (CRC) is the third most common cancer worldwide; most cases are diagnosed at an advanced stage. This study explored the value of carcinoembryonic antigen (CEA) and fibrinogen (FIB) in the differential diagnosis of colorectal polyps and CRC.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Clinical data of 466 CRC patients and 231 patients with colorectal polyps treated at the Chinese PLA General Hospital from October 2021 to February 2024 were retrospectively analyzed. The efficacy of tumor markers in diagnosing CRC was assessed using receiver operating characteristic curves using the binary logistic regression model. Bioinformatics analysis of FIB-related differentially expressed genes related to CRC was performed using the String, LinkedOmics, and Gene Expression Omnibus databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analyses were performed using the Metascape database.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The CRC group was older and had higher proportions of male patients, smokers, and drinkers than the colorectal polyp group (&lt;i&gt;p&lt;/i&gt; &lt; 0.05). Compared with the colorectal polyp group, the CRC group had higher levels of CEA, carbohydrate antigen 19–9 (CA19-9), cytokeratin 19 fragment (CYFRA21-1), activated partial thromboplastin time (APTT), prothrombin time (PT), and FIB (&lt;i&gt;p&lt;/i&gt; &lt; 0.01). CEA and FIB levels were significantly different between patients with different Tumor-Node-Metastasis staging (&lt;i&gt;p&lt;/i&gt; &lt; 0.01). The combination of CEA and FIB showed better ability to discriminate CRC from colorectal polyps (sensitivity: 76.5%, specificity: 80.2%, area under the curve: 0.85). Protein-protein interaction network analysis showed that the fibrinogen alpha (FGA) gene had the strongest correlation with albumin (ALB), alpha-2-Heremans Schmid glycoprotein (AHSG), and serpin peptidase inhibitor, clade D, member 1 (SERPIND1). Gene Ontology functional analysis in CRC showed that FGA and related genes were enriched in biological processes including biosynthesis of ribonucleoprotein complex and non-coding ribonucleic acid metabolic process; in cellular components, they were primarily enriched in pre-ribosomes; and in molecular functions, they were mainly enriched in binding of unfolded protein. Kyoto Encyclopedia of Genes and Genomes enrichment indicated that differential genes were mainly involved in pathways such as the Wnt signaling pathway.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusion&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The combination of CEA and FIB may be u","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"42-50"},"PeriodicalIF":0.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741404","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}

{"title":"Leveraging Artificial Intelligence and Clinical Laboratory Evidence to Advance Mobile Health Applications in Ophthalmology: Taking the Ocular Surface Disease as a Case Study","authors":"Mini Han Wang,&nbsp;Yi Pan,&nbsp;Xudong Jiang,&nbsp;Zhiyuan Lin,&nbsp;Haoyang Liu,&nbsp;Yunxiao Liu,&nbsp;Jiazheng Cui,&nbsp;Jiaxiang Tan,&nbsp;Chengqi Gong,&nbsp;Guanghui Hou,&nbsp;Xiaoxiao Fang,&nbsp;Yang Yu,&nbsp;Moawiya Haddad,&nbsp;Marion Schindler,&nbsp;José Lopes Camilo Da Costa Alves,&nbsp;Junbin Fang,&nbsp;Xiangrong Yu,&nbsp;Kelvin Kam-Lung Chong","doi":"10.1002/ila2.70001","DOIUrl":"https://doi.org/10.1002/ila2.70001","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The advent of mobile health (mHealth) applications has fundamentally transformed the healthcare landscape, particularly within the field of ophthalmology, by providing unprecedented opportunities for remote diagnosis, monitoring, and treatment. Ocular surface diseases, including dry eye disease (DED), are the most common eye diseases that can be detected by mHealth applications. However, most remote artificial intelligence (AI) systems for ocular surface disease detection are predominantly based on self-reported data collected through interviews, which lack the rigor of clinical evidence. These constraints underscore the need to develop robust, evidence-based AI frameworks that incorporate objective health indicators to improve the reliability and clinical utility of remote health applications.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Two novel deep learning (DL) models, YoloTR and YoloMBTR, were developed to detect key ocular surface indicators (OSIs), including tear meniscus height (TMH), non-invasive Keratograph break-up time (NIKBUT), ocular redness, lipid layer, and trichiasis. Additionally, back propagation neural networks (BPNN) and universal network for image segmentation (U-Net) were employed for image classification and segmentation of meibomian gland images to predict Demodex mite infections. These models were trained on a large dataset from high-resolution devices, including Keratograph 5M and various mobile platforms (Huawei, Apple, and Xiaomi).&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The proposed DL models of YoloMBTR and YoloTR outperformed baseline you only look once (YOLO) models (Yolov5n, Yolov6n, and Yolov8n) across multiple performance metrics, including test average precision (AP), validation AP, and overall accuracy. These two models also exhibit superior performance compared to machine plug-in models in KG5M when benchmarked against the gold standard. Using Python's Matplotlib for visualization and SPSS for statistical analysis, this study introduces an innovative proof-of-concept framework leveraging quantitative AI analysis to address critical challenges in ophthalmology. By integrating advanced DL models, the framework offers a robust approach for detecting and quantifying OSIs with a high degree of precision. This methodological advancement bridges the gap between AI-driven diagnostics and clinical ophthalmology by translating complex ocular data into actionable insights.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Integrating AI with clinical laboratory data holds ","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"64-85"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741132","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}

{"title":"The Unveiling Process of Recurrent Thrombosis in an Older Patient: A Case Report","authors":"Ting Zhang,&nbsp;Jie Feng,&nbsp;Yutao Guo,&nbsp;Yanhong Gao","doi":"10.1002/ila2.70004","DOIUrl":"https://doi.org/10.1002/ila2.70004","url":null,"abstract":"<p>A 59-year-old male patient had long suffered from chest tightness and shortness of breath because of coronary artery disease. Ultimately, the diagnosis of “gastric adenocarcinoma with multiple metastases” was confirmed through the analysis of pericardial effusion cytopathology. This article aims to explore the potential link between the patient's recurrent coronary artery thromboses and tumor growth.</p>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"86-89"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741294","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}

{"title":"Development of a Fatty Liver Index Based on Real-World Data","authors":"Wenfeng Ding,&nbsp;Lanlan Liu,&nbsp;Wenjing Lu,&nbsp;Yingli Li,&nbsp;Jing Zhang,&nbsp;Cui Zhang,&nbsp;Yufei Wang,&nbsp;Xueping Ma,&nbsp;Xiaoli Yang","doi":"10.1002/ila2.75","DOIUrl":"https://doi.org/10.1002/ila2.75","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The aim of this study was to develop and validate a fatty liver index based on laboratory data (FLI-L) and a fatty liver index based on both physical examination and laboratory data (FLI-PL) in the hope of providing a more convenient, accurate, and quantitative method for the diagnosis of fatty liver disease.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The study included data for 12,391 patients obtained from the Third Medical Center of Chinese PLA General Hospital. FLI-L and FLI-PL were developed using binary logistic regression analysis. The diagnostic performance of the FLI-L and FLI-PL was evaluated using the area under the receiver-operating characteristic curve (AUC-ROC) with sensitivity, specificity, and positive and negative likelihood ratios. FLI-L and FLI-PL were subsequently validated in 3170 patients from the same hospital.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The AUC-ROC for FLI-L was 0.876 with a cut-off value of 55.03. Sensitivity was 81.35 and specificity was 78.28, with an accuracy of 79.99% for discriminating between patients with and without fatty liver disease. The AUC-ROC for FLI-PL was 0.902 with a cut-off value of 20.51. Sensitivity was 85.10 and specificity was 79.64. FLI-PL classified 91.65% of patients correctly.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>FLI-L and FLI-PL is used for simple and accurate quantitative diagnosis of fatty liver disease. This study provides evidence to support the use of this index in clinical management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"33-41"},"PeriodicalIF":0.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.75","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741227","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}

{"title":"Precision Diagnosis of Helicobacter pylori Infection and Its Drug Resistance","authors":"Bin Tang,&nbsp;Pu Li,&nbsp;Xuhu Mao","doi":"10.1002/ila2.73","DOIUrl":"https://doi.org/10.1002/ila2.73","url":null,"abstract":"<p><i>Helicobacter pylori</i>, a gram-negative microaerophilic bacterium, is implicated in a broad spectrum of upper gastrointestinal disorders, including chronic gastritis, peptic ulcers, gastric cancer, and even certain extragastric diseases. Its ability to colonize and persist within the host is driven by a complex arsenal of colonization and virulence factors, underscoring the intricate dynamics of host–pathogen interactions. The clinical management of <i>H. pylori</i> remains challenging, primarily due to the absence of commercially available vaccines and the increasing prevalence of multidrug resistance. Accurate and reliable detection methods are therefore critical for preventing infections, identifying antibiotic resistance, and assessing treatment efficacy. Currently, both invasive and non-invasive diagnostic approaches are employed, each with unique strengths and limitations. This review provides a comprehensive overview of <i>H. pylori</i> pathogenesis, diagnostic strategies, and therapeutic interventions, highlighting the latest advancements in diagnostic and treatment technologies. By critically evaluating existing methods and exploring innovative approaches, this review aims to support future progress in the effective management of this globally prevalent pathogen.</p>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"106-123"},"PeriodicalIF":0.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.73","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741024","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}

{"title":"Comparison of the Performances of the Accunome DXcellence and Cepheid GeneXpert Assays in Detecting Influenza A and B Viruses and Respiratory Syncytial Virus in Nasopharyngeal Swab","authors":"Hui Hu,&nbsp;Qiankun Xuan,&nbsp;Tong Yu,&nbsp;Dongjiang Wang,&nbsp;Jian Guo,&nbsp;Wenjuan Wu","doi":"10.1002/ila2.74","DOIUrl":"https://doi.org/10.1002/ila2.74","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Respiratory viruses, such as influenza A and B and respiratory syncytial virus (RSV), pose a severe threat to public health. The precise identification and distinction of these viruses are crucial in clinical laboratories. Here, we comparatively evaluated the performance of the Accunome DXcellence assay and the Cepheid GeneXpert assay in the detection of influenza A and B and RSV in nasopharyngeal swab specimens.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Four hundred archived nasopharyngeal swab specimens collected for routine clinical analysis were tested in parallel with the Accunome DXcellence assay and Cepheid GeneXpert assay. RNA standards were serially diluted and tested with the Accunome DXcellence assay to calculate the limit of detection (LOD).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The positive and negative percentage agreement between the Accunome DXcellence assay and the Cepheid GeneXpert assay was as follows: 94.9% (74/78) and 100% (321/321), respectively, for influenza A; 98.1% (104/106) and 100% (293/293), respectively, for influenza B; and 100% (22/22) and 100% (377/377), respectively, for RSV. The LODs of the Accunome DXcellence assay for influenza A and B and RSV were 100, 87.5, and 62.5 copies/mL, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The performance of the Accunome DXcellence assay was similar to that of the Cepheid GeneXpert assay in the detection of influenza A, B, and RSV in nasopharyngeal swab specimens, indicating that the Accunome DXcellence assay is a useful diagnostic tool when these viruses are cocirculating.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"14-20"},"PeriodicalIF":0.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.74","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741301","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}

{"title":"Rapid Recovery From Diabetic Ketoacidosis and Hyperglycemic Hyperosmolar State in Two Patients With Severe Hyperglycemia","authors":"Yuexin Yang,&nbsp;Tianhui Sun,&nbsp;Bangning Cheng,&nbsp;Hailan Wu,&nbsp;Zhiwei Chen,&nbsp;Yan Sun,&nbsp;David W. Chan,&nbsp;Xiaorong Zhan,&nbsp;Juan Du","doi":"10.1002/ila2.69","DOIUrl":"https://doi.org/10.1002/ila2.69","url":null,"abstract":"<p>Diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) are acute, life-threatening complications of diabetes. The overlap of these conditions, termed hyperosmolar diabetic ketoacidosis (H-DKA), is associated with substantial morbidity due to its complex pathophysiology and high complication rates. Notably, cases of H-DKA with glucose levels exceeding 50 mmol/L are rarely reported in the literature. This study details the clinical course of two H-DKA patients who exhibited extreme hyperglycemia at presentation, despite having no prior diagnosis of diabetes. Both patients underwent aggressive fluid resuscitation and insulin therapy, alongside careful management of acute complications. Vital signs and laboratory parameters demonstrated substantial normalization within 3 days of treatment initiation, and no acute or long-term complications related to the therapeutic interventions were observed. These cases underscore the efficacy of timely and intensive therapeutic interventions in mitigating the risks associated with extreme hyperglycemia in H-DKA and highlight critical strategies for optimal patient outcomes.</p>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"90-95"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.69","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741407","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}

{"title":"The Potential of Blood KIM-1 as a Biomarker in Early Diagnosis of Diabetic Kidney Disease","authors":"Ningjie Gong,&nbsp;Qian Wang,&nbsp;Zhaoqing Cong,&nbsp;Lezhi Xu,&nbsp;Wenqian Yang,&nbsp;Yang Du","doi":"10.1002/ila2.71","DOIUrl":"https://doi.org/10.1002/ila2.71","url":null,"abstract":"<p>KIM-1 can be upregulated by kidney injury, detectable in the blood during early DKD stages in diabetic patients, including those without albuminuria. Therefore, KIM-1 holds value for early diagnostic strategies.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":100656,"journal":{"name":"iLABMED","volume":"3 1","pages":"29-32"},"PeriodicalIF":0.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ila2.71","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741340","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}