Marker For Diagnosis Research Articles

Scaling-law mechanical marker for liver fibrosis diagnosis and drug screening through machine learning.

Studies of cell and tissue mechanics have shown that significant changes in cell and tissue mechanics during lesions and cancers are observed, which provides new mechanical markers for disease diagnosis based on machine learning. However, due to the lack of effective mechanic markers, only elastic modulus and iconographic features are currently used as markers, which greatly limits the application of cell and tissue mechanics in disease diagnosis. Here, we develop a liver pathological state classifier through a support vector machine method, based on high dimensional viscoelastic mechanical data. Accurate diagnosis and grading of hepatic fibrosis facilitates early detection and treatment and may provide an assessment tool for drug development. To this end, we used the viscoelastic parameters obtained from the analysis of creep responses of liver tissues by a self-similar hierarchical model and built a liver state classifier based on machine learning. Using this classifier, we implemented a fast classification of healthy, diseased, and mesenchymal stem cells (MSCs)-treated fibrotic live tissues, and our results showed that the classification accuracy of healthy and diseased livers can reach 0.99, and the classification accuracy of the three liver tissues mixed also reached 0.82. Finally, we provide screening methods for markers in the context of massive data as well as high-dimensional viscoelastic variables based on feature ablation for drug development and accurate grading of liver fibrosis. We propose a novel classifier that uses the dynamical mechanical variables as input markers, which can identify healthy, diseased, and post-treatment liver tissues.

Practical issues related to immunocytochemistry on cytological smears: Tips and recommendations.

Immunocytochemistry (ICC) is essential for enhancing diagnostic accuracy and identifying markers for diagnosis, prognosis and targeted therapies. While cell blocks (CBs) are preferred for standardization and optimized staining, cytological smears are an alternative when CBs are unavailable. However, the literature on ICC protocols for smears is sparse. This review addresses preparation, fixation and protocols for nuclear and cytoplasmic antibodies on smears, drawing from our laboratory's experience. We reviewed procedures for ICC on cytological smears using existing literature and practical insights from our laboratory. Commercially available antibodies were found to be reliable for ICC on smears if specimens are properly prepared and fixed. Protocols developed in our laboratory maintained antigenicity and provided clear staining results. Although ICC on CBs is the gold standard for standardization, cytological smears are a viable alternative when CBs are unavailable. Success in ICC on smears depends on proper preparation and fixation. This review offers practical protocols and insights to help laboratories optimize ICC on cytological smears. Further research and standardization are necessary to enhance reproducibility and reliability of ICC on smears. The practical information provided is based on personal experience in our laboratory.

Biomarkers of Early Diagnosis of Parkinson’s Disease

The World Health Organization (WHO) has stated that neurodegenerative diseases will be the biggest health problem in the future. Among neurodegenerative diseases, Parkinson’s disease is the second most common after Alzheimer’s disease. Parkinson’s disease (PD) is the most common pathology of a person with movement disorders. Among neurological diseases, it has a high social significance due to the negative effect on the quality of life (early loss of the ability to work, progressive disorders of motor and cognitive skills). With increasing life expectancy, the prevalence of Parkinson’s disease increases. Biological markers of early diagnosis of Parkinson’s disease are being actively studied. The review presents the most clinically significant biological markers for the preclinical diagnosis of Parkinson’s disease. Biomarkers of cerebrospinal fluid, serum biomarkers and biomarkers of other biological fluids in Parkinson's disease are discussed.

Structured neurological soft signs examination reveals motor coordination deficits in adults diagnosed with high-functioning autism

Neurological soft signs (NSS), discrete deficits in motor coordination and sensory integration, have shown promise as markers in autism diagnosis. While motor impairments, partly associated with core behavioral features, are frequently found in children with autism, there is limited evidence in adults. In this study, NSS were assessed in adults undergoing initial diagnosis of high-functioning autism (HFA), a subgroup difficult to diagnose due to social adaptation and psychiatric comorbidity. Adults with HFA (n = 34) and 1:1 sex-, age-, and intelligence-matched neurotypical controls were administered a structured NSS examination including motor, sensory, and visuospatial tasks. We showed that adults with HFA have significantly increased motor coordination deficits compared with controls. Using hierarchical cluster analysis within the HFA group, we also identified a subgroup that was particularly highly affected by NSS. This subgroup differed from the less affected by intelligence level, but not severity of autism behavioral features nor global psychological distress. It remains questionable whether motor impairment represents a genuinely autistic trait or is more a consequence of factors such as intelligence. Nevertheless, we conclude that examining NSS in terms of motor coordination may help diagnose adults with HFA and identify HFA individuals who might benefit from motor skills interventions.

Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas.

The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the USs. Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), 3 adenosarcomas, 2 carcinosarcomas, and 1 uterine tumor resembling an ovarian sex-cord tumor (UTROSCT). ESS (including high-grade ESS and low-grade ESS) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A - PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uDEGs were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named MMN-MIL showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Decreased free D-aspartate levels in the blood serum of patients with schizophrenia.

Schizophrenia (SCZ) and autism spectrum disorder (ASD) are neurodevelopmental diseases characterized by different psychopathological manifestations and divergent clinical trajectories. Various alterations at glutamatergic synapses have been reported in both disorders, including abnormal NMDA and metabotropic receptor signaling. We conducted a bicentric study to assess the blood serum levels of NMDA receptors-related glutamatergic amino acids and their precursors, including L-glutamate, L-glutamine, D-aspartate, L-aspartate, L-asparagine, D-serine, L-serine and glycine, in ASD, SCZ patients and their respective control subjects. Specifically, the SCZ patients were subdivided into treatment-resistant and non-treatment-resistant SCZ patients, based on their responsivity to conventional antipsychotics. D-serine and D-aspartate serum reductions were found in SCZ patients compared to controls. Conversely, no significant differences between cases and controls were found in amino acid concentrations in the two ASD cohorts analyzed. This result further encourages future research to evaluate the predictive role of selected D-amino acids as peripheral markers for SCZ pathophysiology and diagnosis.

Multiplexed detection platform implemented with magnetic encoding and deep learning-based decoding for quantitative analysis of exosomes from cancers

Although a number of biosensing technologies have been reported for the detection of cancer-derived exosomes used as early diagnosis markers for cancers, it is necessary to identify them with various biomarkers to distinguish the stages and types of cancers owing to the extreme heterogeneity of cancer. Here, we developed a new multiplexed assay platform for the detection of exosomes using magnetic encoded microparticles (MEMPs), which can recognize multiple proteins expressed on exosomes, and a deep learning-based decoding algorithm. This platform, in which the accuracy of the decoding algorithm was evaluated to be 93 %, was applied to detect exosomes from four types of cancer cell lines and plasma from patients with cancer using three cancer biomarkers: PD-L1 (Programmed Death-Ligand 1), EpCAM (Epithelial cell adhesion molecule), and EGFR (Epidermal growth factor receptor). The limit of detections (LODs) of this platform when applied to the detection of exosomes from MDA-MB-231 cell line were calculated as 4.03 × 106 mL−1 for PD-L1, 1.00 ×107 mL−1 for EpCAM, and 7.17×106 mL−1 for EGFR, respectively. In a clinical study, four types of samples from patients with cancer (n = 92) showed higher signals than those of healthy controls (n = 18). Based on these results, we confirmed that this platform can distinguish patients with cancer from healthy individuals.

Evaluation the Role of Lipocalin 2 as a New Non-Invasive Diagnostic Marker for Hepatocellular Carcinoma in Egyptian Cirrhotic Patients

Abstract Background Hepatocellular carcinoma (HCC) represents the sixth most common cancer worldwide. In Egypt, it represents the fourth common cancer. Significant risk factors for hepatocellular carcinoma include viral hepatitis (hepatitis B and hepatitis C), alcoholic liver disease, and non-alcoholic liver steatohepatitis/non-alcoholic fatty liver disease. HCC occurs in 80%-90% of patients with cirrhosis. The annual incidence of HCC in patients with cirrhosis is 2-4%. Aim of the Work The aim of this study is to evaluate the role of lipocalin 2 (LCN 2) as a diagnostic marker in HCC Egyptian patients. Patients and Methods A case-control study in Ain- Shams University Hospital for 6 months period and the study will be conducted on 96 Egyptian patients (32 HCC patients, 32 liver cirrhosis without HCC, 32 normal control persons). Res1ults We found that LCN 2 level ranged from 150 to 380 in HCC group with mean±SD = 292.750±50.940, from 88 to 280 in cirrhotic patients with mean± SD = 129.313±36.605, from 40 to 62 in control group with mean± SD = 53.250± 4.958, being statistically significant higher in HCC group more than both cirrhotic group and control group and in cirrhotic patients more than control group (p-value = <0.001). The results showing sensitivity of 96.87% and specificity 96.87% of LCN 2 as a marker for HCC with accuracy of 98.4%,with cut off > 160. The presence of (LCN-2) in blood and urine, in combination with α-Fetoprotein (AFP), is a biomarker of early stages of HCC. LCN 2 is a promising serum tumor marker for HCC diagnosis. Conclusion We concluded from this study that: Serum LCN 2 level was significantly higher in patients with HCC and mildly elevated in patients with liver cirrhosis compared to the control group. So it can be used as a tumor marker for HCC diagnosis. Use of LCN 2 with AFP or possibly other markers will improve the diagnostic field and can help in early detection of HCC in surveillance programms. We need further studies on large number of HCC patients of different etiologies and on metastaic liver tumors to clarify the accuracy and potential diagnostic role of LCN 2 in the future.

Role of Α-L-Fucosidase as a Diagnostic Marker versus Α-Fetoprotein in HCC Post Viral Cirrhotic Patients

Abstract Background Hepatocellular carcinoma (HCC) is the sixth most common cancer and the third cause of cancer-related mortality world- wide. The incidence of HCC is on the increase, and it is a major threat to our modern life. Epidemiological studies have indicated that HCC are related to chronic hepatitis B virus (HBV) and chronic hepatitis C virus (HCV) infection. Aim of the Work To evaluate the role of AFU as a diagnostic marker versus AFP in HCC post viral cirrhotic Egyptian patients. Patients and Methods This study had been carried out on 90 subjects, age range 21-75 year selected from Internal medicine and Hepatology outpatient clinics and inpatient wards at Ain shams university hospitals from January 2022 to June 2022. Results We found that serum levels of AFU were highest in patients of group A with HCC (129.867 ± 32.997 μl U/ml) compared to those with liver cirrhosis (33.433± 14.818 μl U/ml) with P value < 0.001 and the control groups (3.177 ± 1.199 μl U/ml) with P value < 0.001. Similarly alpha fetoprotein its serum levels were much higher in the HCC group (4688.223±11490.009 ng/ml) compared to the cirrhotic patients (4.407±3.107 ng/ml) with P value 0.02 Also, compared to healthy individuals (2.623±1.566 ng/ml) with p value 1.00. We found that there is No significant statistical correlation between serum AFP and AFU in our studied HCC and cirrhotic patients (R 0.332, P 0.073 for HCC and R 0.222, P 0.238 for cirrhotic). Regarding the negative correlation between serum AFU level and AFP level in order to predict the diagnostic value, sensitivity and specificity of both of them in term of tumor size, our study show that for AFU when the best cut off value was >52μl U/ml the sensitivity was 100% and specificity was 90% while for AFP when the best cut off value was > 10.5 ng/ml the sensitivity was 96.67% and specificity 96.67%. AFU is a promising serum tumor marker for HCC diagnosis and can be combined with AFP. Conclusion We concluded from this study that: Serum AFP was highly significant increase in HCC patients compared to cirrhotic and healthy controls, this is in agreement with many several reports that consider AFP in high serum levels as diagnostic for HCC combined with triphasic CT abdomen or dynamic MRI. Serum AFU levels were significantly higher in patients with HCC and mildly elevated in patients with liver cirrhosis compared to the control group. So it can be used as a tumor marker for HCC diagnosis. No correlation between AFU and laboratory data and child score. AFU was not influenced by clinical condition of the liver itself but with HCC. Around 40% of HCC patients have normal or low AFP level so AFU may be useful as a diagnostic marker in those patients. Serum AFP is the standard tumor marker used in clinical practice for diagnosis and surveillance of HCC in cirrhotic patients in spite of normal and low AFP HCC patients that may reach 40%. Sensitivity and specificity of AFU was nearly similar to sensitivity and specificity of AFP. Combined use of AFU with AFP or possibly other markers will improve the diagnostic field and can help in early detection of HCC in surveillance programms.

Ascitic ENDOCAN as a Useful Marker in the Diagnosis of Spontaneous Bacterial Peritonitis

Abstract Background Spontaneous bacterial peritonitis (SBP) is a serious, recurrent, and life-threatening condition developing in cirrhotic patients with a high mortality rate. Its diagnosis is based on ascitic fluid polymorphonuclear leukocytes (PMNs) to be more than 250/μL. Endocan is a proteoglycan (PG) secreted by vascular endothelium, its serum level is elevated with an inflammatory or a malignant process. Aim of the Work to evaluate the potential role of ascitic fluid levels of endocan as an appropriate marker for prediction and early diagnosis of spontaneous bacterial peritonitis in patients with liver cirrhosis. Patients and Methods This was Prospective cohort study, was conducted in hepatology Unit of Ain Shams University Hospital over 100 patients with liver cirrhosis classified into two groups: (Non-SBP): included 50 patients of decompensated cirrhosis with sterile (non SBP) ascites, (SBP): included 50 Adult patients with liver cirrhosis and SBP, during a Period 6 months. All patients were subjected to: Full history taking, Clinical examination, Routine investigations, Radiology investigations, Determination of ascitic endocan levels by ELISA. Result The main results of the study revealed that: There was no statistically significant difference between the studied groups as regard personal data. There was a high statistically significant difference between the studied groups as regardsChild-Pugh score. There was no statistically significant difference between the studied groups as regard LFT. There was statistically significant difference between the studied groups as regard WBCs. There was statistically significant difference between the studied groups as regard INR. There was no statistically significant difference between the studied groups as regard creatinine. There was statistically significant difference between the studied groups as regard Ascetic endocan. Conclusion In conclusion, this study demonstrates that ascitic endocan level is an independent risk factor for SBP and has a high diagnostic value for detecting SBP in patients with decompensated cirrhosis.

Comparative genomics analysis of Mycoplasma capricolum subsp. capricolum MOR20

Mycoplasma capricolum subsp. capricolum (Mcc) is an etiological agent of Contagious Agalactia (CA) in small ruminants and belongs to Mycoplasma mycoides cluster. Until today, six strains genomes and candidates of Mcc were sequenced in Germany, USA, France and China. The aim of the present study is to analyze the genomic sequence of Mcc MOR20 strain and to compare it with the other sequenced strains. Indeed, the genome sequence of Mcc MOR20 strain was obtained using Illumina NovaSeq 6000 platform. NGS sequencing reads were assembled de novo using CLC genomics v12 (Qiagen). The variant calling on MOR20 strain was conducted using SNIPPY tools. The phylogenomic analysis of Mcc MOR20 strain was performed using BuscoPhylo pipeline. Thus, the genome of Mcc MOR20 characterized by 960,401 bp and encoded for 820 protein-coding genes, 15 rRNA genes (5S, 16S, and 23S), 34 tRNA genes, and three ncRNA genes. In addition, Mcc MOR20 is genetically closer to Mcc isolate human case with percentage of 98.58 %. In addition, the Mcc MOR20 show a genomic relationship with Mccp clade, and they share the same must of potential virulence genes that were identified, including variable surface lipoproteins and metabolic enzymes. The results of this study could be of interest for contagious agalactia vaccine development and the conserved gene might be taken as candidate for new markers for Mcc diagnosis.

CHANGES IN THE FACTORS OF NON-SPECIFIC RESISTANCE IN PATIENTS WITH ISCHEMIC HEART DISEASE

Ischemic heart disease is the most common form of heart disease.CHD occurs as a result of atheromatous changes in the vessels that supply the heart.It is the atheromatous changes in the vessels that result from decreased myocardial perfusion, which causes angina due to ischemia and can lead to myocardial infarction (MI) and/or heart failure.It is one of the leading causes of death in the world. Given that coronary heart disease is a medical and social problem today, it is important to study the diagnosis and prognosis of the course of this pathology. The refore, there is a need to find new sensitive markers for early diagnosis of this pathology. In patients with cardiovascular diseases, the functional state of the cells of the nonspecific immunity of neutrophils often depends on the form of the disease and the severity of the course, and early detection of changes in chemotaxis of neutrophils can help to more accurately assess the risk of infectious complications. Study of factors of the non-specific link of immunity in patients with coronary heart disease. Study of factors of non-specific resistance, namely determination of indicators of phagocytic number, phagocytic index, number of active phagocytes, absolute index of phagocytic activity, percentage of HST-positive neutrophils, detection of cationic lysosomal proteins with calculation of cytochemical coefficients, bactericidal activity of neutrophils (BAN) was performed in 30 patients with coronary artery disease. The control group consisted of 30 healthy age- and gender-matched volunteer donors. Thus, it was established that in patients of the group of patients with coronary artery disease, in comparison with the indicators of the control group, in addition to the decrease in phagocytic activity and activation of the redox function, there is a decrease in the number of cationic lysosomal proteins and the bactericidal activity of NG.

Hypermethylated TAGMe as a universal-cancer-only methylation marker and its application in diagnosis and recurrence monitoring of urothelial carcinoma

BackgroundUrothelial carcinoma (UC) is the second most common urological malignancy. Despite numerous molecular markers have been evaluated during the past decades, no urothelial markers for diagnosis and recurrence monitoring have shown consistent clinical utility.MethodsThe methylation level of tissue samples from public database and clinical collected were analyzed. Patients with UC and benign diseases of the urinary system (BUD) were enrolled to establish TAGMe (TAG of Methylation) assessment in a training cohort (n = 567) using restriction enzyme-based bisulfite-free qPCR. The performance of TAGMe assessment was further verified in the validation cohort (n = 198). Urine samples from 57 UC patients undergoing postoperative surveillance were collected monthly for six months after surgery to assess the TAGMe methylation.ResultsWe identified TAGMe as a potentially novel Universal-Cancer-Only Methylation (UCOM) marker was hypermethylated in multi-type cancers and investigated its application in UC. Restriction enzyme-based bisulfite-free qPCR was used for detection, and the results of which were consistent with gold standard pyrosequencing. Importantly, hypermethylated TAGMe showed excellent sensitivity of 88.9% (95% CI: 81.4–94.1%) and specificity of 90.0% (95% CI: 81.9–95.3%) in efficiently distinguishing UC from BUD patients in urine and also performed well in different clinical scenarios of UC. Moreover, the abnormality of TAGMe as an indicator of recurrence might precede clinical recurrence by three months to one year, which provided an invaluable time window for timely and effective intervention to prevent UC upstaging.ConclusionTAGMe assessment based on a novel single target in urine is effective and easy to perform in UC diagnosis and recurrence monitoring, which may reduce the burden of cystoscopy.Trial registration ChiCTR2100052507. Registered on 30 October 2021

Role of Doppler Ultrasound and Creatine Kinase as Markers in Diagnosis of Placenta Accreta

Role of Doppler Ultrasound and Creatine Kinase as Markers in Diagnosis of Placenta Accreta

Insulin-Like Growth Factor 1 Has the Potential to Be Used as a Diagnostic Tool and Treatment Target for Autism Spectrum Disorders.

Autism spectrum disorder (ASD), a heterogeneous group of neurodevelopmental disorders, is characterized by social impairment and repetitive and stereotypic behaviors. Because of the lack of approved laboratory diagnostic markers and effective therapeutic medications, it is one of the most challenging diseases. Therefore, it is urgent to explore potential diagnosis markers or therapeutic targets.Insulin-like growth factor 1 (IGF-1) is a neurotrophic growth factor that enhances brain development. IGF-1 levels in body fluids are lower in preschool children with ASD than in typically developing children, which may serve as a potential diagnostic marker. In various ASD models associated with genetic or environmental exposure, IGF-1 treatment can improve core symptoms or pathological changes, including neuronal development, neural cell survival, balance of synaptic excitation and inhibition, neuroimmunology, and oxidative stress status. In March 2023 an IGF-1 derivative was approved as the first drug for treating Rett syndrome, an ASD-related neurodevelopmental disorder, to improve fundamental symptoms such as social communication. Thus, in this review, we present accumulating evidence of altered IGF-1 levels in ASD patients and the possible mechanisms, as well as evidence that IGF-1 treatment improves the pathophysiology in various ASD models. IGF-1 has the potential to be an early diagnosis marker and an effective therapeutic for ASD.

Photochemical regulatory strategies for nucleic acid function and their biomedical applications

AbstractNucleic acids are not only essential biomolecules that drive critical life processes such as growth, development, reproduction, inheritance, and mutation, but also serve as significant markers for disease diagnosis, pathogen identification, and cancer screening. Nevertheless, several challenges have hindered the widespread use of nucleic acids in biomedicine, such as susceptibility to degradation, limited cellular uptake efficiency, potential toxicity, and uncontrollable activity. Photo‐regulation offers an effective solution to address these challenges. It allows for the precise control of nucleic acid structure and function and enhances the stability and safety of their application in biomedicine. In this review, we systematically review the structural characteristics of the three primary photosensitive groups commonly used in the regulation of nucleic acid molecules (i.e., photocleavable molecules, photoisomerization molecules, and photo‐crosslinking molecules) under light irradiation. Subsequently, recent research advances in the development and application of photo‐modulation strategies based on these photosensitive molecules in antisense oligonucleotides, RNA interference, nucleic acid amplification, and CRISPR/Cas systems are outlined. Finally, we discuss the challenges faced in the widespread application of these photo‐regulatory strategies and outline potential future directions for their development.

MiR-493-5p Silenced by DNA Methylation Promotes Angiogenesis via Exosomes and VEGF-A-Mediated Intracellular Cross-Talk Between ESCC Cells and HUVECs.

Exosomal microRNAs (miRNAs) in the tumor microenvironment play crucial roles in tumorigenesis and tumor progression by participating in intercellular cross-talk. However, the functions of exosomal miRNAs and the mechanisms by which they regulate esophageal squamous cell carcinoma (ESCC) progression are unclear. RNA sequencing and GEO analysis were conducted to identify candidate exosomal miRNAs involved in ESCC development. Receiver operating characteristic curve analysis was performed to assess the diagnostic value of plasma exosomal miR-493-5p. EdU, tube formation and Transwell assays were used to investigate the effects of exosomal miR-493-5p on human umbilical vein endothelial cells (HUVECs). A subcutaneous xenograft model was used to evaluate the antitumor effects of miR-493-5p and decitabine (a DNA methyltransferase inhibitor). The relationship between miR-493-5p and SP1/SP3 was revealed via a dual-luciferase reporter assay. A series of rescue assays were subsequently performed to investigate whether SP1/SP3 participate in exosomal miR-493-5p-mediated ESCC angiogenesis. We found that miR-493-5p expression was notably reduced in the plasma exosomes of ESCC patients, which showed the high potential value in early ESCC diagnosis. Additionally, miR-493-5p, as a candidate tumor suppressor, inhibited the proliferation, migration and tube formation of HUVECs by suppressing the expression of VEGFA and exerted its angiostatic effect via exosomes. Moreover, we found that SP1/SP3 are direct targets of miR-493-5p and that re-expression of SP1/SP3 could reverse the inhibitory effects of miR-493-5p. Further investigation revealed that miR-493-5p expression could be regulated by DNA methyltransferase 3A (DNMT3A) and DNMT3B, and either miR-493-5p overexpression or restoration of miR-493-5p expression with decitabine increased the antitumor effects of bevacizumab. Exosomal miR-493-5p is a highly valuable ESCC diagnosis marker and inhibits ESCC-associated angiogenesis. miR-493-5p can be silenced via DNA methylation, and restoration of miR-493-5p expression with decitabine increases the antitumor effects of bevacizumab, suggesting its potential as a therapeutic target for ESCC treatment.

A potential prognostic indicator in methanol intoxication: Body temperature

Objective: Methanol intoxication is a type of poisoning with high mortality and morbidity. The current study aims to examine patients diagnosed with methanol intoxication and treated with standardized treatment to collect data that may be used to predict patient outcomes and mortality. Materials and Methods: The current study was a retrospective study and included patients over 18 years of age diagnosed with methanol intoxication between 1st March, 2011 and 1st March, 2021. All patients were treated with the treatment protocol determined by the clinic in accordance with the guidelines. Sociocultural characteristics, vital and laboratory findings, and clinical outcomes of the patients were analyzed. Results: Of the 28 patients included in the study, 80% were male, and the median age was 49. Patients were divided into two groups: survived and deceased. The median time since last alcohol intake was higher in surviving group (7 hours (Q1-Q3:6-12) vs 4 hours (Q1-Q3:2-17), p=0.005) and the amount of alcohol per kilogram of weight was lower in surviving group (3.13 ml/kg (Q1-Q3: 1.34-4.46) vs 8.81 ml/kg (Q1-Q3:5.22-9.49), p=0.002). The body temperature was lower in deceased group (35.40 °C (Q1-Q3:34.95-35.50) vs 36.40 °C (Q1-Q3:36.10-36.55), p=0.001). The current study showed that the other diagnostic factors of mortality in methanol intoxication are serum pH, lactate levels, bicarbonate levels, base deficit, anion deficit, the level of consciousness of the patient at admission, the time since the last alcohol consumption, and the amount of methanol ingested. Conclusion: In this study, it was concluded that moderate hypothermia may be an indicator of mortality in addition to classical findings. Thus, it has been shown that hypothermia will be effective in methanol intoxication in addition to other early markers for early diagnosis and rapid initiation of treatment.

Urinary Neutrophil Gelatinase-Associated Lipocalin: A Biochemical Marker for Early Diagnosis of Urinary Tract Infections in Adults

Urinary Neutrophil Gelatinase-Associated Lipocalin: A Biochemical Marker for Early Diagnosis of Urinary Tract Infections in Adults

Immunological Signatures for Early Detection of Human Head and Neck Squamous Cell Carcinoma through RNA Transcriptome Analysis of Blood Platelets.

Although there has been a reduction in head and neck squamous cell carcinoma occurrence, it continues to be a serious global health concern. The lack of precise early diagnostic biomarkers and postponed diagnosis in the later stages are notable constraints that contribute to poor survival rates and emphasize the need for innovative diagnostic methods. In this study, we employed machine learning alongside weighted gene co-expression network analysis (WGCNA) and network biology to investigate the gene expression patterns of blood platelets, identifying transcriptomic markers for HNSCC diagnosis. Our comprehensive examination of publicly available gene expression datasets revealed nine genes with significantly elevated expression in samples from individuals diagnosed with HNSCC. These potential diagnostic markers were further assessed using TCGA and GTEx datasets, demonstrating high accuracy in distinguishing between HNSCC and non-cancerous samples. The findings indicate that these gene signatures could revolutionize early HNSCC identification. Additionally, the study highlights the significance of tumor-educated platelets (TEPs), which carry RNA signatures indicative of tumor-derived material, offering a non-invasive source for early-detection biomarkers. Despite using platelet and tumor samples from different individuals, our results suggest that TEPs reflect the transcriptomic and epigenetic landscape of tumors. Future research should aim to directly correlate tumor and platelet samples from the same patients to further elucidate this relationship. This study underscores the potential of these biomarkers in transforming early diagnosis and personalized treatment strategies for HNSCC, advocating for further research to validate their predictive and therapeutic potential.