The elevated lactate dehydrogenase to albumin ratio is a risk factor for developing sepsis-associated acute kidney injury: a single-center retrospective study.

BACKGROUND: There is no evidence to determine the association between the lactate dehydrogenase to albumin ratio (LAR) and the development of sepsis-associated acute kidney injury (SAKI). We aimed to investigate the predictive impact of LAR for SAKI in patients with sepsis. METHODS: A total of 4,087 patients with sepsis from the Medical Information Mart for Intensive Care IV (MIMIC IV) database were included. Logistic regression analysis was used to identify the association between LAR and the risk of developing SAKI, and the relationship was visualized using restricted cubic spline (RCS). The clinical predictive value of LAR was evaluated by ROC curve analysis. Subgroup analysis was used to search for interactive factors. RESULTS: The LAR level was markedly increased in the SAKI group (p < 0.001). There was a positive linear association between LAR and the risk of developing SAKI (p for nonlinearity = 0.867). Logistic regression analysis showed an independent predictive value of LAR for developing SAKI. The LAR had moderate clinical value, with an AUC of 0.644. Chronic kidney disease (CKD) was identified as an independent interactive factor. The predictive value of LAR for the development of SAKI disappeared in those with a history of CKD but remained in those without CKD. CONCLUSIONS: Elevated LAR 12 h before and after the diagnosis of sepsis is an independent risk factor for the development of SAKI in patients with sepsis. Chronic comorbidities, especially the history of CKD, should be taken into account when using LAR to predict the development of AKI in patients with sepsis.

Aberrated PSMA1 expression associated with clinicopathological features and prognosis in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is a globally prevalent cancer with significant mortality rates. OSCC a predominant subtype of head and neck squamous cell carcinoma (HNSCC), poses a substantial health burden. Despite advancements in diagnosis and therapy, OSCC prognosis remains poor. The 26S proteasome, a cellular protein degradation complex, is associated with cancer, including PSMA1, a proteasomal subunit, which is upregulated in various cancers. We analyzed PSMA1 expression using TCGA data, validated it in OSCC samples using real-time PCR, and explored its role through various databases. Tumor and adjacent normal tissues from OSCC patients were examined, and PSMA1 expression was analyzed. Survival analysis assessed the impact of PSMA1 on patient outcomes, while immune infiltration was examined using the TIMER database. GeneMANIA, STRING, and Metascape were utilized for gene interaction and pathway analysis. PSMA1 was significantly upregulated in OSCC and HNSCC. Its overexpression correlated with advanced clinicopathological features and poorer prognosis in HNSCC patients. PSMA1 expression is also related to immune cell infiltration. Gene interaction analysis revealed PSMA1 involvement in proteolysis regulation, suggesting its potential as a therapeutic target. PSMA1 upregulation in HNSCC association with adverse clinicopathological features and prognosis underscores its potential significance. Further research is warranted to elucidate its molecular mechanisms and therapeutic potential in OSCC management.

LncRNA H19: A Novel Biomarker in Cardiovascular Disease.

Cardiovascular disease is a major cause of death and disability worldwide. Recently, increasing evidence has demonstrated that long non-coding RNAs (lncRNAs) play critical roles in the pathogenesis of cardiovascular diseases, including atherosclerosis, coronary artery disease, dilated cardiomyopathy, diabetic cardiomyopathy, aortic dissection, and more. LncRNA H19 was the first to be described as a non-protein-coding mRNA-like molecule. A large number of studies have found that lncRNA H19 is related to the pathophysiological processes of cardiovascular diseases, and it is emerging as a potential key regulator of various heart diseases. In this review, we aim to summarize the role of lncRNA H19 in cardiovascular diseases in order to provide a theoretical basis for its potential use as a new therapeutic target in the future.

Serum lipoprotein(a) and reclassification of coronary heart disease risk; application of prediction in a cross-sectional analysis of an ongoing Iranian cohort.

INTRODUCTION: Recent studies have introduced elevated lipoprotein(a) (Lp(a)) as a risk factor for coronary heart disease (CHD). This study investigated whether the addition of Lp(a) as a novel biomarker to the Framingham Risk Score (FRS) model improves CHD risk prediction. METHODS: The study included 1101 Iranian subjects (443 non-diabetic and 658 diabetic patients) who were followed for 10 years (2003-2013). Lp(a) levels and CHD events were recorded for each participant. RESULTS: The Net Reclassification Index (NRI) after adding Lp(a) to the FRS model was 19.57% and the discrimination slope was improved (0.160 vs. 0.173). The Akaike Information Criterion (AIC), a measure of model complexity, decreased significantly after adding Lp(a) to the FRS model (691.9 vs. 685.4, P value: 0.007). CONCLUSIONS: The study concluded that adding Lp(a) to the FRS model improves CHD risk prediction in an Iranian population without making the model too complex. This could help clinicians to better identify individuals who are at risk of developing CHD and to implement appropriate preventive measures.

RFC3 serves as a novel prognostic biomarker and target for head and neck squamous cell carcinoma.

OBJECTIVE: Head and neck squamous cell carcinoma (HNSCC) is a prevalent cancer that originates from the squamous cells. The role of the replication factor C subunit 3 (RFC3) in HNSCC progression remains elusive. The aim of this study was to uncover RFC3 significance in HNSCC. METHODS: The Cancer Genome Atlas (TCGA-HNSCC) dataset was initially used to assess RFC3 expression and its association with HNSCC clinical features. Subsequently, quantitative reverse transcription PCR (RT-qPCR) confirmed RFC3 mRNA expression in oral squamous cell carcinoma (OSCC), a primary HNSCC type. Survival rates were evaluated using the Kaplan-Meier plot, while the Tumor Immune Estimation Resource (TIMER) database probed RFC3-immune cell interaction. Additionally, in silico tools were used to examine the RFC3 protein network and engagement in HNSCC pathways. RESULTS: RFC3 expression is significantly upregulated in HNSCC, including OSCC. Upregulated RFC3 expression was significantly correlated with the clinicopathological features of HNSCC, including tumor stage, grade, metastasis, and patient survival. RFC3 is also associated with immune cell infiltration. Functional analysis has highlighted its involvement in DNA replication, mismatch repair, and cell cycle pathways. Interestingly, RFC3 high expression is linked to well-known oncogenic signaling pathways, such as MYC/MYCN, HIPPO, and mTOR. CONCLUSIONS: In conclusion, RFC3 can be considered a novel prognostic biomarker for HNSCC, and further studies on its functional mechanisms may help to use RFC3 as a therapeutic target for HNSCC. CLINICAL RELEVANCE: The clinical relevance of this study lies in identifying RFC3 as a novel biomarker and prognostic indicator for HNSCC, offering insights that could impact future clinical approaches.

The Comprehensive Analysis of Specific Proteins as Novel Biomarkers Involved in the Diagnosis and Progression of Gastric Cancer.

Gastric cancer (GC) cases are predicted to rise by 2040 to approximately 1.8 million cases, while GC-caused deaths to 1.3 million yearly worldwide. To change this prognosis, there is a need to improve the diagnosis of GC patients because this deadly malignancy is usually detected at an advanced stage. Therefore, new biomarkers of early GC are sorely needed. In the present paper, we summarized and referred to a number of original pieces of research concerning the clinical significance of specific proteins as potential biomarkers for GC in comparison to well-established tumor markers for this malignancy. It has been proved that selected chemokines and their specific receptors, vascular endothelial growth factor (VEGF) and epidermal growth factor receptor (EGFR), specific proteins such as interleukin 6 (IL-6) and C-reactive protein (CRP), matrix metalloproteinases (MMPs) and their tissue inhibitors (TIMPs), a disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS), as well as DNA- and RNA-based biomarkers, and c-MET (tyrosine-protein kinase Met) play a role in the pathogenesis of GC. Based on the recent scientific literature, our review indicates that presented specific proteins are potential biomarkers in the diagnosis and progression of GC as well as might be used as prognostic factors of GC patients' survival.

Insulin-like growth factor binding protein 7 promotes acute kidney injury by alleviating poly ADP ribose polymerase 1 degradation.

The novel biomarker, insulin-like growth factor binding protein 7 (IGFBP7), is used clinically to predict different types of acute kidney injury (AKI) and has drawn significant attention as a urinary biomarker. However, as a secreted protein in the circulation of patients with AKI, it is unclear whether IGFBP7 acts as a key regulator in AKI progression, and if mechanisms underlying its upregulation still need to be determined. Here we found that IGFBP7 is highly expressed in the blood and urine of patients and mice with AKI, possibly via a c-Jun-dependent mechanism, and is positively correlated with kidney dysfunction. Global knockout of IGFBP7 ameliorated kidney dysfunction, inflammatory responses, and programmed cell death in murine models of cisplatin-, kidney ischemia/reperfusion-, and lipopolysaccharide-induced AKI. IGFBP7 mainly originated from kidney tubular epithelial cells. Conditional knockout of IGFBP7 from the kidney protected against AKI. By contrast, rescue of IGFBP7 expression in IGFBP7-knockout mice restored kidney damage and inflammation. IGFBP7 function was determined in vitro using recombinant IGFBP7 protein, IGFBP7 knockdown, or overexpression. Additionally, IGFBP7 was found to bind to poly [ADP-ribose] polymerase 1 (PARP1) and inhibit its degradation by antagonizing the E3 ubiquitin ligase ring finger protein 4 (RNF4). Thus, IGFBP7 in circulation acts as a biomarker and key mediator of AKI by inhibiting RNF4/PARP1-mediated tubular injury and inflammation. Hence, over-activation of the IGFBP7/PARP1 axis represents a promising target for AKI treatment.

Predicting the diagnosis of prostate cancer with a scoring system based on novel biomarkers.

OBJECTIVE: To predict prostate cancer using novel biomarker ratios and create a predictive scoring system. MATERIALS AND METHODS: Data of a total of 703 patients who consulted Urology Department of Selayang Hospital between January 2013 and December 2017 and underwent prostate biopsy were screened retrospectively. Prostate specific antigen (PSA) levels, prostate volumes (PV), neutrophil and lymphocyte counts, neutrophil-to-lymphocyte ratio (NLR), Prostate specific antigen density (PSAD) and histopathology were evaluated. RESULTS: Ages ranged from 43 to 89 years, divided into 2 groups as per biopsy results; positive for prostate cancer (n = 290, 41.3%) and negative for malignancy (n = 413; 58.7%). Intergroup comparative evaluations were performed. Independent variables with p < 0.001 in the univariate analysis were age, DRE, PV, NLR, PSAD. A scoring system was modelled using NLR < 0.9, PSAD > 0.4, Age > 70 and DRE. A score of 2 or more predicted prostate cancer with a Sensitivity of 83.8% and Specificity of 86.4%. CONCLUSIONS: NLR is shown to be good predictor for prostate cancer its usage in this scoring system affords more disease specificity as compared to PSA alone.

MicroRNAs and long non-coding RNAs in the pathophysiological processes of diabetic cardiomyopathy: emerging biomarkers and potential therapeutics.

The epidemic of diabetes mellitus (DM) necessitates the development of novel therapeutic and preventative strategies to attenuate complications of this debilitating disease. Diabetic cardiomyopathy (DCM) is a frequent disorder affecting individuals diagnosed with DM characterized by left ventricular hypertrophy, diastolic and systolic dysfunction and myocardial fibrosis in the absence of other heart diseases. Progression of DCM is associated with impaired cardiac insulin metabolic signaling, increased oxidative stress, impaired mitochondrial and cardiomyocyte calcium metabolism, and inflammation. Various non-coding RNAs, such as microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), as well as their target genes are implicated in the complex pathophysiology of DCM. It has been demonstrated that miRNAs and lncRNAs play an important role in maintaining homeostasis through regulation of multiple genes, thus they attract substantial scientific interest as biomarkers for diagnosis, prognosis and as a potential therapeutic strategy in DM complications. This article will review the different miRNAs and lncRNA studied in the context of DM, including type 1 and type 2 diabetes and the contribution of pathophysiological mechanisms including inflammatory response, oxidative stress, apoptosis, hypertrophy and fibrosis to the development of DCM .

PAX3 silencing inhibits prostate cancer progression through the suppression of the TGF-ß/Smad signaling axis.

Multiple studies have confirmed the pro-oncogenic effects of PAX3 in an array of cancers, but its role in prostate cancer (PCa) remains largely undefined. The aim of this study is to investigate the role of PAX3 in PCa. PAX3 expression was compared between PCa tumor tissue and nontumor tissues and PCa cell lines and normal prostate epithelial cells (PNT2) by western blot analysis and immunohistochemistry staining. MTT and immunofluorescence assays were used to detect PCa cell proliferation. Flow cytometry was used to evaluate cell apoptosis in PCa. Transwell assays were used for the determination of cell migration and PCa cell invasion. PAX3 expression was higher in PCa tissues and human PCa cell lines. Moreover, PAX3 silencing inhibited the proliferation, metastasis, and epithelial-mesenchymal transition (EMT) of PCa cells, and increased the rates of apoptosis. PAX3 silencing inhibited transforming growth factor-ß (TGF-ß)/Smad signaling in PCa cells. The effects of si-PAX3 on the proliferation, apoptosis, metastasis, and EMT of PCa cells were alleviated by TGF-ß1 treatment. PAX3 silencing inhibits PCa progression through the inhibition of TGF-ß/Smad signaling. This reveals PAX3 as a novel biomarker and therapeutic target for future PCa treatments.

Discovering and Validating Cuproptosis-Associated Marker Genes for Accurate Keloid Diagnosis Through Multiple Machine Learning Models.

Background: Keloid is a common condition characterized by abnormal scarring of the skin, affecting a significant number of individuals worldwide. Objective: The occurrence of keloids may be related to the reduction of cell death. Recently, a new cell death mode that relies on copper ions has been discovered. This study aimed to identify novel cuproptosis-related genes that are associated with keloid diagnosis. Methods: We utilized several gene expression datasets, including GSE44270 and GSE145725 as the training group, and GSE7890, GSE92566, and GSE121618 as the testing group. We integrated machine learning models (SVM, RF, GLM, and XGB) to identify 10 cuproptosis-related genes (CRGs) for keloid diagnosis in the training group. The diagnostic capability of the identified CRGs was validated using independent datasets, RT-qPCR, Western blotting, and IHC analysis. Results: Our study successfully categorized keloid samples into two clusters based on the expression of cuproptosis-related genes. Utilizing WGCNA analysis, we identified 110 candidate genes associated with cuproptosis. Subsequent functional enrichment analysis results revealed that these genes may play a regulatory role in cell growth within keloid tissue through the MAPK pathway. By integrating machine learning models, we identified CRGs that can be used for diagnosing keloid. The diagnostic efficacy of CRGs was confirmed using independent datasets, RT-qPCR, Western blotting, and IHC analysis. GSVA analysis indicated that high expression of CRGs influenced the gene set related to ECM receptor interaction. Conclusion: This study identified 10 cuproptosis-related genes that provide insights into the molecular mechanisms underlying keloid development and may have implications for the development of targeted therapies.

Pathogenic Loss-of-Function Mutations in LRP1B are Associated with Poor Survival in Head and Neck Cancer Patients.

OBJECTIVE: Head and neck squamous cell carcinoma (HNSCC) present a significant challenge in the medical field due to treatment resistance, which often hinders successful outcomes. The dysregulation of the LRP1B gene is linked to various cancers, but its specific role in HNSCC is poorly understood. METHODS: This study investigated the link between pathogenic loss-of-function mutations in the LRP1B gene and survival outcomes in HNSCC patients. The Cancer Genome Atlas HNSCC cohort, comprised of 520 tumor and 44 normal tissues, was analyzed using cBioportal, and UALCAN tools. Expression patterns, survival outcomes, and clinical correlations of LRP1B were evaluated. In-depth analyses involved validation of mRNA expression using RT-qPCR and functional exploration using various in-silico tools. RESULTS: Analysis of data from The Cancer Genome Atlas (TCGA) and cBioPortal revealed a high frequency (25%) of LRP1B mutations in HNSCC patients. Notably, splice mutation, truncating mutation, and deep deletion, considered potential drivers, are commonly associated with LRP1B mutations. Patients with LRP1B mutations also exhibit poorer overall survival rates compared to those without these mutations. Furthermore, LRP1B mRNA expression is significantly reduced in HNSCC tissues compared to normal tissues and is correlated with advanced tumor stage, higher tumor grade, and nodal metastasis. CONCLUSION: These findings indicate that LRP1B may function as both a prognostic biomarker and a therapeutic target in HNSCC patients.

Clinical Utility of the Tokyo Guidelines 2018 for Acute Cholangitis in the Emergency Department and Comparison with Novel Markers (Neutrophil-to-Lymphocyte and Blood Nitrogen Urea-to-Albumin Ratios).

Introduction: The Tokyo Guidelines 2018 (TG2018) is a scoring system used to recommend the clinical management of AC. However, such a scoring system must incorporate a variety of clinical outcomes of acute cholangitis (AC). In an emergency department (ED)-based setting, where efficiency and practicality are highly desired, clinicians may find the application of various parameters challenging. The neutrophil-to-lymphocyte ratio (NLR) and blood urea nitrogen-to-albumin ratio (BAR) are relatively common biomarkers used to assess disease severity. This study evaluated the potential value of TG2018 scores measured in an ED to predict a variety of clinical outcomes. Furthermore, the study also compared TG2018 scores with NLR and BAR scores to demonstrate their usefulness. Methods: This retrospective observational study was performed in an ED. In total, 502 patients with AC visited the ED between January 2016 and December 2021. The primary endpoint was to evaluate whether the TG2018 scoring system measured in the ED was a predictor of intensive care, long-term hospital stays (≥14 days), percutaneous transhepatic biliary drainage (PTBD) during admission care, and endotracheal intubation (ETI). Results: The analysis included 81 patients requiring intensive care, 111 requiring long-term hospital stays (≥14 days), 49 requiring PTBD during hospitalization, and 14 requiring ETI during hospitalization. For the TG2018 score, the adjusted OR (aOR) using (1) as a reference was 23.169 (95% CI: 9.788-54.844) for (3) compared to (1). The AUC of the TG2018 for the need for intensive care was 0.850 (95% CI: 0.815-0.881) with a cutoff of >2. The AUC for long-term hospital stays did not exceed 0.7 for any of the markers. the AUC for PTBD also did not exceed 0.7 for any of the markers. The AUC for ETI was the highest for BAR at 0.870 (95% CI: 0.837-0.899) with a cutoff value of >5.2. Conclusions: The TG2018 score measured in the ED helps predict various clinical outcomes of AC. Other novel markers such as BAR and NLR are also associated, but their explanatory power is weak.

Alteration in PNMA1 expression is associated with poor prognosis and tumor immune infiltration in head and neck squamous cell carcinoma.

Background: A significant percentage of the world is distressed due to the widespread and aggressive head and neck squamous cell carcinoma (HNSCC). The prognosis for people with HNSCC remains grim, despite progress in treatment techniques. This underscores the pressing demand for the discovery of novel biomarkers to enable early detection and improve prognostic categorization. Objective: The present study aims to identify the expression of the PNMA1 gene in HNSCC with clinicopathological characteristics, prognosis, and association of immune cells infiltration. Methods: The TCGA-HNSCC dataset first evaluated PNMA1 expression and its relationship to clinical aspects of HNSCC. Following that, oral squamous cell carcinoma (OSCC), a primary HNSCC type, is used to validate PNMA1 mRNA expression, via quantitative reverse transcription PCR (RT-qPCR). The Kaplan-Meier plot was used to assess survival rates, and the Tumour Immune Estimation Resource (TIMER) database was used to examine the relationship between PNMA1 and immune cells infiltration. Results: The expression of PNMA1 significantly increased in HNSCC and OSCC tumors. Significant correlations have been found between the increased PNMA1 expression and clinicopathological characteristics of HNSCC, such as tumor stage, grade, metastasis, HPV status and patient survival. PNMA1 expression also correlated with immune cell infiltration and immune regulator genes. Conclusion: In conclusion, the present study demonstrated that the PNMA1 expression significantly increased in HNSCC and was associated with HNSCC patient's prognosis. Hence, PNMA1 could serve as a novel prognostic biomarker and a promising therapeutic target for HNSCC.

Comprehensive landscape and future perspectives of non-coding RNAs in esophageal squamous cell carcinoma, a bibliometric analysis from 2008 to 2023.

Objectives: Summarize the progress and hot topic evolution of non-coding RNAs (ncRNAs) research in esophageal squamous cell carcinoma (ESCC) in recent years and predict future research directions. Methods: Relevant articles from the Web of Science until 31 October 2023 were obtained. Bibliometric analysis of included articles was performed using software (VOSviewer, CiteSpace, and Bibliometrix). The volume and citation of publications, as well as the country, institution, author, journal, keywords of the articles were used as variables to analyze the research trends and hot spot evolution. Results: 1,118 literature from 2008 to 2023 were retrieved from database, with 25 countries/regions, 793 institutions, 5,426 authors, 261 journals involved. Global cooperation was centered on China, Japan, and the United States. Zhengzhou University, an institution from China, had the highest publication. The most prolific author was Guo Wei, and the most prolific journal was Oncology Letters. Analysis of keywords revealed that the research in this field revolved around the role of ncRNAs in the occurrence, development, diagnosis, treatment, and prognosis of ESCC, mainly including micro RNAs, long non-coding RNAs, and then circular RNAs. Conclusion: Overall, research on ncRNAs in ESCC remains strong. Previous research has mainly focused on the basic research, with a focus on the mechanism of ncRNAs in the occurrence, development, diagnosis, treatment, and prognosis of ESCC. Combining current research with emerging disciplines to further explore its mechanisms of action or shifting the focus of research from preclinical research to clinical research based on diagnosis, treatment, and prognosis, will be the main breakthrough in this field in the future.

Serum phosphate levels and the development of sepsis associated acute kidney injury: evidence from two independent databases.

Objective: We aimed to investigate the association between serum phosphate levels and the risk for developing sepsis associated acute kidney injury (SAKI). Methods: Septic patients from the Medical Information Mart for Intensive Care IV (MIMIC IV) and the eICU Collaborative Research Database (eICU-CRD) were enrolled. Restricted cubic spline (RCS) was used to visualize the relationship between phosphate levels and the risk of SAKI. Patients were divided into four categories based on their serum phosphate levels. Logistic regression analysis, receiver operating characteristic (ROC) curve and subgroup analysis were performed to evaluate the predictive value of serum phosphate for SAKI. Results: A total of 9,244 and 2,124 patients from the MIMIC IV and eICU-CRD database were included in the final analysis. RCS curve revealed a non-linear correlation between phosphate levels and the risk of SAKI (p for non-linearity <0.05). Each 1 mg/dL increase in phosphate levels was associated with a 1.51 to 1.64-fold increased risk of SAKI (OR 2.51-2.64, p < 0.001) in the MIMIC IV cohort and a 0.29 to 0.38-fold increased risk (OR 1.29-1.38, p < 0.001) in the eICU-CRD cohort. Compared to the normal-low category, hyperphosphatemia and normal-high category were independently associated with an increased risk of SAKI, while hypophosphatemia was independently associated with a decreased risk in the MIMIC IV cohort. A similar trend was observed in the eICU-CRD cohort, but statistical significance disappeared in the hypophosphatemia category and the adjusted model of normal high category. These finding was consistent in subgroup analysis. Conclusion: Elevated serum phosphate, even within the normal range, is an independent risk factor for developing SAKI in septic patients. Abnormal change in serum phosphate levels may be a novel biomarker for early prediction of SAKI occurrence.

An update on new-age potential biomarkers for Parkinson's disease.

Parkinson's disease (PD) is a progressive neurodegenerative disorder that deals with dopaminergic deficiency in Substantia nigra pars compact (SNpc) region of the brain. Dopaminergic deficiency manifests into motor dysfunction. Alpha-synuclein protein aggregation is the source for inception of the pathology. Motor symptoms include rigidity, akinesia, tremor and gait dysfunction. Pre-motor symptoms are also seen in early stage of the disease; however, they are not distinguishable. Lack of early diagnosis in PD pathology poses a major challenge for development of disease modifying therapeutics. Substantial neuronal loss has already been occurred before the clinical manifestations appear and hence, it becomes impossible to halt the disease progression. Current diagnostics are majorly based on the clinical symptoms and thus fail to detect early progression of the disease. Thus, there is need for early diagnosis of PD, for detection of the disease at its inception. This will facilitate the effective use of therapies that halt the progression and will make remission possible. Many novel biomarkers are being developed that include blood-based biomarker, CSF biomarker. Other than that, there are non-invasive techniques that can detect biomarkers. We aim to discuss potential role of these new age biomarkers and their association with PD pathogenesis in this review.

RNA Analysis of Circulating Leukocytes in Patients with Alzheimer's Disease.

Background: One of the key symptoms of Alzheimer's disease (AD) is the impairment of short-term memory. Hippocampal neurogenesis is essential for short-term memory and is known to decrease in patients with AD. Impaired short-term memory and impaired neurogenesis are observed in aged mice alongside changes in RNA expression of gap junction and metabolism-related genes in circulating leukocytes. Moreover, after penetrating the blood-brain barrier via the SDF1/CXCR4 axis, circulating leukocytes directly interact with hippocampal neuronal stem cells via gap junctions. Objective: Evaluation of RNA expression profiles in circulating leukocytes in patients with AD. Methods: Patients with AD (MMSE≧23, n = 10) and age-matched controls (MMSE≧28, n = 10) were enrolled into this study. RNA expression profiles of gap junction and metabolism-related genes in circulating leukocytes were compared between the groups (jRCT: 1050210166). Results: The ratios of gap junction and metabolism-related genes were significantly different between patients with AD and age-matched controls. However, due to large inter-individual variations, there were no statistically significant differences in the level of single RNA expression between these groups. Conclusions: Our findings suggest a potential connection between the presence of circulating leukocytes and the process of hippocampal neurogenesis in individuals with AD. Analyzing RNA in circulating leukocytes holds promise as a means to offer novel insights into the pathology of AD, distinct from conventional markers.

DYNC1I1 acts as a promising prognostic biomarker and is correlated with immune infiltration in head and neck squamous cell carcinoma.

BACKGROUND/PURPOSE: Dynein Cytoplasmic 1 Intermediate Chain 1 (DYNC1I1) is a crucial cytoplasmic dynein binding component, its high expression levels are associated with malignant progression and poor survival in different types of cancer; however, the oncogenic role of DYNC1I1 in Head and neck squamous cell carcinomas (HNSCC) remains to be elucidated. In our present study, we aimed to explore the potential role of DYNC1I1 expression in the tumorigenesis of HNSCC and the shaping of the immune microenvironment. MATERIALS AND METHODS: The expression levels of DYNC1I1 were analyzed in The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma (TCGA-HNSC) dataset, and then real-time quantitative polymerase chain reaction (RT-qPCR) was used to validate the DYNC1I1 expression in oral squamous cell carcinoma (OSCC) tumor samples, one of the major types of HNSCC. The functional pathway, tumor immune infiltration, and gene expression correlation for DYNC1I1 were performed using different bioinformatic tools. RESULTS: We found that the expression of DYNC1I1 was significantly increased in HNSCC and was a predictor of poor survival. The DYNC1I1 high expression has also been associated with an increased risk of HPV-negative HNSCC and decreased immune cell infiltration. Functional enrichment analysis identified that DYNC1I1 is involved in several important signaling pathways that contribute to the cancer cell's survival and proliferation. CONCLUSION: Our findings indicate that DYNC1I1 plays an important role in the tumorigenesis of HNSCC, and could be a promising prognostic biomarker for HNSCC diagnosis and treatment.

TFE3 nuclear expression as a novel biomarker of ovarian sclerosing stromal tumors and associated with its histological morphology.

Sclerosing stromal tumors of the ovary are benign and tend to occur in youthful women with lobular structures at low frequencies. Three types of cells, including luteinized cells, short spindle myoid cells, and intermediate cells, are found in the lobules which abundant in the blood vessels. Currently, immunohistochemistry is used to detect normal follicles, sclerosing stromal tumors, granulosa cell tumors, and fibromas/thecomas. Our research results showed that transcription factor enhancer 3 (TFE3) was moderate to strong positive in the theca interna layer of normal follicles. TFE3 was expressed in seven out of eight sclerosing stromal tumors, mainly in luteinized cells. It did not express in 20 granulosa cell tumors. Of the nine fibromas/thecomas, TFE3 was weakly staining in 2 cases and negative in the remaining 7 cases. The expression of TFE3 was also weak in only one microcystic stromal tumor. 8 cases of sclerosing stromal tumors were analyzed by FISH using a TFE3 separation probe, and the results were negative. In short, as a nuclear transcription protein, TFE3 specifically expressed in sclerosing stromal tumors and could serve as a new marker for the diagnosis and differential diagnosis of sclerosing stromal tumors. Moreover, we speculate that TFE3 will promotes the formation of the vascular plexus after entry into the nucleus, which can further explain why sclerosing stromal tumors are different from other ovary sex-cord stromal tumors.