Marker For Early Diagnosis Research Articles

SRSF12 is a prognostic biomarker involved in immune infiltration in acute myeloid leukemia

ABSTRACT Background Acute myeloid leukemia (AML) is a disease characterized by the proliferation of abnormal cells originating from blood stem cells. Understanding the pathogenesis and progression of AML, as well as identifying molecular markers for early diagnosis and prognosis assessment, is of paramount importance. Methods The AML dataset was obtained from the Cancer Genome Atlas (TCGA), while the normal sample dataset was derived from the Genotype-Tissue Expression(GTEx) dataset. Furthermore, the association between SRSF12 expression and drug response was assessed using the Cancer Therapeutic Response Portal (CTRP) database to evaluate its potential therapeutic value. Finally, SRSF12 expression in AML cells was measured using quantitative real-time PCR (qRT-PCR). Result The difference in SRSF12 expression between 13 types of tumors and normal tissue samples was found to be statistically significant (P < 0.05). SRSF12 exhibited predominantly high expression in AML, indicating its potential as a diagnostic and prognostic marker for AML patients. High expression of SRSF12, along with age and cytogenetic risk, emerged as independent predictors of favorable prognosis in AML patients (P < 0.05). PCR demonstrated a significant increase in SRSF12 expression in AML patients. Conclusion Overall, our findings suggest that the high expression of SRSF12 in AML patients is a poor prognostic factor, which may provide a new option for the diagnosis, and targeted therapy of AML.

Quantitative detection of miR-25 for early diagnosis, postoperative assessment and TNM staging of pancreatic cancer

Objectives: Pancreatic cancer is one of the most common malignant tumors of the digestive tract. Due to its strong concealment and rapid disease progress, it is characterized by high mortality and low cure rate. Current research focuses on screening high-risk populations, preventing the occurrence of pancreatic cancer and developing imaging technology and tumor markers for early diagnosis. This study aimed to investigate the absolute quantitative detection of microRNA-25 (miR-25) and reveal its quantitative changes in the treatment of pancreatic cancer. We compared serum miR-25 level between pancreatic cancer patients and other tumor patients, especially those with gastrointestinal cancer, to provide further evidence for early diagnosis, differential diagnosis and prognosis of pancreatic cancer. Methods: We collected serum samples from 51 pancreatic cancer patients (including 21 patients with preoperative and postoperative samples), 52 pancreatitis patients, 141 other tumor patients, and 50 healthy individuals from Huashan Hospital, Fudan University. The serum levels of miR-25, Carbohydrate Antigen 19–9 (CA19–9), Carbohydrate Antigen 125 (CA125) and Carcinoembryonic Antigen (CEA) in these populations were measured to analyze the value of miR-25 quantitative detection in the diagnosis, postoperative assessment and Tumor Node Metastasis (TNM) staging of pancreatic cancer. Results: Among the 51 pancreatic cancer patients, 50 cases (98.04 %) showed miR-25 levels above the threshold (3333 copies/μl), while all samples in normal group showed negative. The mean level of miR-25 in serum was 5707.45 ± 361.02 copies/μl. In other tumor groups, 21/141 (14.89 %) patients showed positive results and the mean miR-25 level was 847.09 ± 125.97 copies/μl. Comparing before and after operation in 21 paired samples, the level of miR-25 declined significantly after operation, with an average decline rate of 86.36 %. Conclusions: Serum miR-25 levels were significantly higher in pancreatic cancer patients compared to both normal and other tumor groups and decreased significantly after surgery. In addition, miR-25 showed higher sensitivity than common tumor markers (CA19–9, CA125, CEA) in early diagnosis of pancreatic cancer, and proved to be of significant value in evaluating the effect of surgical treatment.

Association of serum and salivary dipeptidyl peptidase-4 (DPP-4) with oral cancerous and precancerous lesions; an observational diagnostic accuracy study

BackgroundEnhancing the prognosis and treatment outcomes of oral cancer relies heavily on its early detection. This study aims to establish a connection between serum and salivary dipeptidyl peptidase-4 (DPP-4) levels and oral squamous cell carcinoma (OSCC), comparing them with oral potentially malignant lesions (OPMLs) and control subjects and validating salivary DPP-4 as a diagnostic marker for the early detection of oral cancer.MethodologyForty-five systemically healthy individuals were categorized into three groups: Group I consisted of 15 patients diagnosed with OSCC, Group II comprised 15 patients with OPMLs (including leukoplakia and oral lichen planus), and Group III included 15 participants without any oral mucosal lesions. Serum and whole unstimulated salivary samples were collected from all participants to assess DPP-4 levels using an enzyme-linked immunosorbent assay (ELISA) kit. Receiver operating characteristic (ROC) analysis was conducted to determine the area under the curve (AUC), sensitivity, specificity, and diagnostic accuracy of DPP-4.ResultsBoth serum and salivary DPP-4 levels were highest in the healthy group, followed by OPMLs, and lowest in the OSCC group, with statistically significant differences observed. ROC analysis demonstrated excellent diagnostic accuracy of salivary DPP-4 in distinguishing OSCC from healthy individuals, OPMLs from healthy individuals, and OSCC from OPMLs, with accuracies of 100%, 100%, and 96.67%, respectively. Salivary DPP-4 levels also exhibited a statistically significant correlation with OSCC grades.ConclusionsDPP-4 appears to play a protective, anti-oncogenic role in maintaining oral tissue health. The remarkable diagnostic accuracy of both serum and salivary DPP-4 in discriminating between OSCC, OPMLs, and healthy controls suggests its potential utility as a well-established marker for early oral cancer diagnosis. Salivary DPP-4, being non-invasive, could serve as a convenient chair-side diagnostic tool for the early detection of OSCC.Clinical trial registrationThe study was retrospectively registered on clinicaltrial.gov with NCT06087042, date of registration (first posted date): 17/10/2023

8620 Prevalence of Osteopenia of Prematurity and Risk Factors in Neonatal of Maternity Hospital

Abstract Disclosure: D.M. Bastos: None. J.G. Bastos: None. A.C. Bastos: None. Introduction: The osteometabolic disease of prematurity (ODP), formerly known as osteopenia of prematurity, corresponds to a disorder of bone mineralization in the neonatal period in very low birth weight premature newborns. The estimated prevalence is about 30% when the birth weight is less than 1,500 grams and around 60% when it is less than 1,000 grams. There is no specific clinical picture, and it can present with mild manifestations, growth deficit, or even evolve with severe rickets and fractures. To qualify the care of premature newborns (NB) in our Service, we question what is the local prevalence of ODP and what are the clinical, biochemical, or imaging risk factors that are potentially related to a greater predisposition to this condition. Objective: Evaluate the prevalence of ODP and recognize potential risk factors in NBs in a neonatal ICU of a reference maternity hospital in Curitiba/ PR. Method: Retrospective longitudinal study, with analysis of medical records of patients born with a gestational age less than 34 weeks and birth weight less than 1,500 grams, born between January/2013 to August/2016. Discussion: Prematurity is the significant factor, followed by low birth weight, for osteopenia. Newborns (NB) with a birth weight below 1500g should receive 40mg/Kg of calcium and 50 mg/Kg of phosphorus. Supplementation of human milk should be started from 15 days of life or when oral intake reaches 100ml/Kg per day (1g/20 ml of milk). In this study, the classification of the growth curve and prevalence by sex were divergent with the literature. The most vulnerable are those with parenteral nutrition or prolonged fasting, as the adequate diet is the basis of prevention and treatment, similar data being found, as well as association with prolonged use of diuretic, presence of sepsis diagnosis and bronchopulmonary dysplasia. However, there is still a lack of specific and sensitive markers for early diagnosis and treatment. Conclusion: The prevalence of Osteopenia of Prematurity was lower than that found in the literature. The risk factors bronchopulmonary dysplasia and use of diuretics were statistically significant when evaluated in patients with osteopenia. However, no relationship was found between ODP and sepsis, as well as a relationship between ODP and Necrotizing Enterocolitis. Regarding the days kept fasting, use of TPN and Use of antibiotics, a longer duration of use was obtained when compared with the group that did not develop the disease. Presentation: 6/3/2024

Eyes as a window to brain pathology in parkinson's disease: a narrative review.

There is a renewed interest on eye movements analysis and retinal alterations in Parkinson's disease. This may identify markers for at-risk subpopulation, early diagnosis and evolutive profiles for research or personalized medicine.

Exploring circulating MiRNA signature for osteosarcoma detection: Bioinformatics-based analyzing and validation

Early detection followed by efficient treatment still remain a considerable challenge for osteosarcoma (OS), indicating the importance of emerging innovative diagnostic methods. Circulating miRNAs offer a promising and non-invasive approach to assess the OS molecular landscapes. This study utilized RNAseq data from OS plasma miRNA expression profiles (PRJEB30542) and PCR Array data (GSE65071) from GEO and ENA databases. In total, 43 miRNAs demonstrated significant differential expression in OS samples of training dataset. A diagnostic model, including hsa-miR-30a-5p, hsa-miR-556–3p, hsa-miR-200a-3p, and hsa-miR-582–5p was identified through multivariate logistic regression analysis and demonstrated significant efficacy in differentiating OS patients from healthy controls in the validation group (AUC: 0.917, sensitivity: 1, specificity: 0.85). The result of target gene prediction and functional enrichment analyses revealed significant associations with terms such as epithelial morphogenesis, P53 and Wnt signaling pathways, and neoplasm metastasis. Further bioinformatics-based evaluations showed that the down-regulation of these miRNAs significantly correlates with poor prognosis and lower survival rate in OS patients and propose their tumor suppressor function in pathogenesis of OS. Furthermore, the study developed a miRNA-mRNA subnetwork that connects these miRNAs to the P53 and Wnt signaling pathways, which are critical pathways with oncogenic effects on OS progression. This comprehensive approach not only presents a promising diagnostic model but also proposes potential molecular markers for OS early diagnosis, making prognosis, and targeted therapy. The identified miRNA-mRNA functional axis holds promise as a valuable resource for further research in understanding OS pathogenesis and establishing therapeutic modalities.

Association of serum and synovial adipokines (chemerin and resistin) with inflammatory markers and ultrasonographic evaluation scores in patients with knee joint osteoarthritis- a pilot study.

Chemerin and resistin are adipokines studied as potential markers for early diagnosis and disease severity in patients with knee osteoarthritis (KOA) Therefore, we aimed to investigate the associations serum and synovial levels of chemerin and resistin with inflammatory parameters and ultrasonographic scores (US) in KOA individuals. Serum was collected from 28 patients with KOA and synovial fluid was obtained from 16 of them. Another 31 age and sex matched cases with no joint disease were included as healthy controls. Concentrations of chemerin, resistin, interleukin-6 (IL-6) and tumor necrosis factor alpha (TNF-alpha) were determined with ELISA. Erythrocyte sedimentation rate (ESR), C-reactive protein, serum uric acid (UA) were measured in the patients group. Participants with KOA underwent US assessment using the Outcome Measures in Rheumatology (OMERACT) scores. Patients with KOA had statistically significant higher level of serum resistin than healthy controls [11.05 (3.78-24.13) ng/mL and 7.23 (3.83-12.19) respectively, p < 0.001]. A strong correlation was found between serum chemerin and ESR (r = 0.434, p = 0.021), uric acid (r = 0.573, p = 0.001) as well as the US (r=-0.872, p < 0.001). Serum resistin demonstrated significant association with TNF-alpha (r = 0.398, p = 0.044). In conclusion, both chemerin and resistin might contribute to inflammatory changes associated with KOA. Further studies are needed to elucidate their potential role in the pathogenesis of the disease.

Identifying clinical and proteomic markers for early diagnosis and prognosis prediction of major psychiatric disorders

BackgroundTo clarify if blood proteins can predict disease progression among individuals at clinical high-risk of severe mental illness (CHR-SMI), we developed a statistical model incorporating clinical and blood protein markers to distinguish the transition group (who developed severe mental illness) (CHR-SMI-T) and from non-transition group (CHR-SMI-NT) at baseline. MethodsNinety individuals (74 at CHR-SMI: 16 patients) were monitored for ≤4 years and were the focus of predictive models. Three predictive models (1 [100 clinical variables], 2 [158 peptides], and 3 [100 clinical variables +158 peptides]) were evaluated using area under the receiver operating characteristic (AUROC) values. Clinical and protein feature patterns were evaluated by linear mixed-effect analysis within the model at 12 and 24 months among patients who did (CHR-SMI-T) and did not transition (CHR-SMI-NT) and the entire group. ResultEighteen CHR-SMI individuals with major psychiatric disorders (first episode psychosis: 2; bipolar II disorder: 13; major depressive disorder; 3) developed disorders over an average of 17.7 months. The combined model showed the highest discriminatory performance (AUROC = 0.73). Cytosolic malate dehydrogenase and transgelin-2 levels were lower in the CHR-SMI-T than the CHR-SMI-NT group. Complement component C9, inter-alpha-trypsin inhibitor heavy chain H4, von Willebrand factor, and C-reactive protein were lower in the patient than the CHR-SMI-NT group. These differences were non-significant after FDR adjustment. LimitationsSmall sample, no control for medication use. ConclusionThis exploratory study identified clinical and proteomic markers that might predict severe mental illness early onset, which could aid in early detection and intervention. Future studies with larger samples and controlled variables are needed to validate these findings.

Association between genetic polymorphisms in chromosome region 9q21 and pelvic organ prolapse in Northwestern Chinese women.

This study aimed to explore the association between genetic polymorphisms in the chromosome region 9q21 and the risk of pelvic organ prolapse (POP) in Northwestern Chinese women. A case-control study was conducted with 241 POP patients and 268 healthy controls, analyzing ten single nucleotide polymorphisms (SNPs) across five genes using PCR amplification and Sequenom MassArray. The results revealed significant associations between three SNPs-rs2297002 in GOLM1, rs7450 in MAK10, and rs3814535 in TLE1-and POP. Specifically, the TC genotype of rs2297002, the GA genotype of rs7450, and the AA genotype of rs3814535 were linked to an increased or decreased risk of POP. The study suggests that these genetic variants might contribute to the pathogenesis of POP in this population, offering potential markers for early diagnosis and further investigation into the molecular mechanisms underlying POP.

Assessment of Hematological Parameters in Mycobacterium Tuberculosis-Infected Patients at Hayatabad Medical Complex, Peshawar, Pakistan

Background: Mycobacterium tuberculosis is a major causative agent of pulmonary tuberculosis, significantly contributing to morbidity and mortality worldwide. In South Asia, including Pakistan, TB remains a primary cause of prolonged hospital stays and economic burden. It primarily affects the lungs and can alter various hematological parameters.Objective: To assess the prevalence and characterize the hematological features of pulmonary tuberculosis patients at Hayat Abad Medical Complex, Peshawar, Pakistan.Methods: A descriptive cross-sectional study was conducted from April to August 2024. A total of 220 sputum samples were collected from male and female patients of all ages with suspected TB. TB was confirmed in 31 patients using TB PCR. Hematological parameters, including WBC, RBC, Hb, HCT, MCV, MCH, and platelets, were analyzed using a Sysmex hematology analyzer. Data were analyzed using SPSS version 25.Results: The prevalence of TB was 14% (31/220). All confirmed TB patients had elevated WBC and neutrophil counts (100%), decreased Hb and HCT (100%), and reduced MCV (96%). Lymphopenia was present in 90% of the cases.Conclusion: Hematological deviations can be cost-effective markers for early TB diagnosis in resource-limited settings.

Novel prediction model of early screening lung adenocarcinoma with pulmonary fibrosis based on haematological index

BackgroundLung cancer (LC), a paramount global life-threatening condition causing significant mortality, is most commonly characterized by its subtype, lung adenocarcinoma (LUAD). Concomitant with LC, pulmonary fibrosis (PF) and interstitial lung disease (ILD) contribute to an intricate landscape of respiratory diseases. Idiopathic pulmonary fibrosis (IPF) in association with LC has been explored. However, other fibrotic interrelations remain underrepresented, especially for LUAD-PF and LUAD-ILD.MethodsWe analysed data with statistical analysis from 7,137 healthy individuals, 7,762 LUAD patients, 7,955 ILD patients, and 2,124 complex PF patients collected over ten years. Furthermore, to identify blood indicators related to lung disease and its complications and compare the relationships between different indicators and lung diseases, we successfully applied the naive Bayes model for a biomarker-based prediction of diagnosis and development into complex PF.ResultsMales predominantly marked their presence in all categories, save for complex PF where females took precedence. Biomarkers, specifically AGR, MLR, NLR, and PLR emerged as pivotal in discerning lung diseases. A machine-learning-driven predictive model underscored the efficacy of these markers in early detection and diagnosis, with NLR exhibiting unparalleled accuracy.ConclusionsOur study elucidates the gender disparities in lung diseases and illuminates the profound potential of serum biomarkers, including AGR, MLR, NLR, and PLR in early lung cancer detection. With NLR as a standout, therefore, this study advances the exploration of indicator changes and predictions in patients with pulmonary disease and fibrosis, thereby improving early diagnosis, treatment, survival rate, and patient prognosis.

A selective dual-signal electrochemical paper-based device using imprinted sensors for voltammetric and impedance analysis of 4-NQO and carcinoembryonic antigen (CEA)

BackgroundCarcinoembryonic Antigen (CEA) and 4-nitroquinoline-N-oxide (4-NQO) are cancer markers that play a crucial role in tumor risk assessment and early cancer diagnosis. Therefore, it is in demand to develop a fast, accurate, simple, and cost-effective method to detect these cancer markers for quick and early stage-cancer diagnosis and treatment. ResultsHerein, we report a dual signaling approach for direct and indirect signal transduction of cancer biomarker binding on molecularly imprinted-electrodes integrated on an ePAD, enabling sensitive and selective quantitative analysis of 4-NQO and CEA. Multiple test zones on a single device based on artificial recognition sites using core-shell Cu-MOF@MIP were developed to create a selective “Dual-signal-ePAD”. An effective and facile imprinting method on a Cu-MOF surface based on the synthesized of 4-VPBA/MAA/TRIM polymer. It resulted in a novel MIP useable as a high-performance sensing tool for the ultrasensitive and specific quantification of the target cancer biomarkers. Multiple tests consisted of voltammetric analysis of 4-NQO via oxidation of the analyte on a WE1, and impedance analysis of CEA via the molecular interaction with the imprinted WE2. SignificanceThe proposed device provides enhanced electrochemical signal amplification due to its high conductivity, electrocatalytic activity, and the target-specific recognition sites for accurate determination of 4-NQO and CEA targets. The Dual-signal-ePAD exhibits good voltammetric and EIS response, oxidation currents of 4-NQO at −0.06 V and RCT of CEA, resulting in high selectivity and sensitivity with a linear response range covering the concentration range of clinical interest for both analytes. Dual-signal ePAD is a good candidate for clinical screening and POCT.

Abstract C110: The role of the S100 family signaling pathway proteins in Hispanic colorectal cancer disparities

Abstract Colorectal cancer (CRC) is a global health concern, ranking as the second deadliest and third most diagnosed cancer. In the United States alone, it is estimated that there will be 152,810 new cases of CRC in 2024. CRC has an overall survival rate of 90% when detected in its early stages (Stage I/II). However, due to low screening rates, only 39% of CRC patients in the U.S. are diagnosed during the early stage, particularly among the minority groups like Hispanics. This disparity can be attributed to various factors, including limited access to health care facilities and socio-economic barriers. Among Hispanics, CRC diagnosis and screening rate are lower, resulting in a higher incidence of late-stage (Stage III/IV) diagnosis compared to Non-Hispanic Whites (NHW). Only 33% of Hispanics receive timely diagnosis, and merely 49% undergo recommended screening protocols, in comparison to a diagnosis rate of 35% and screening rate of 58% in NHW. Addressing this health disparity emphasizes the urgent need for targeted interventions to improve early screening and diagnosis within the Hispanic population. We hypothesize that genetic factors across different ethnicities/races may influence gene expression patterns during various stages, thereby contributing to CRC tumorigenesis and progression. To enhance the chances of identifying markers for early detection and diagnosis among Hispanics, we aim to identify new ethnicity-specific transcriptomic profiles. RNA sequencing of Hispanic CRC, NHW CRC and their respective normal tissues adjacent to the tumor (NAT), revealed unique sets of differentially expressed genes (DEGs) with a log2 foldchange of ≥ 2.0 and ≤ -2.0 and p-adjusted value ≤ 0.05 in Hispanic (1831) and NHW (1225) CRC populations compared to their respective NATs. Further analysis identified DEGs specific to early (1012) and late (765) stages of CRC within the Hispanic population, as compared to the respective stages in the NHW. Ingenuity Pathway Analysis (IPA) was used to uncover significant DEGs associated with the S100 family signaling pathway in Hispanic CRC samples. Previous studies have indicated the involvement of the S100 family proteins and their signaling pathways in CRC development, progression, metastasis, and drug resistance through interactions with WNT/β-catenin, RAGE, MAPK and NF-κβ signaling pathways. Our investigation of DEGs within the S100 signaling pathway and their interaction with downstream effectors suggests differential expression of genes crucial in cellular processes, including matrix metallopeptidases (MMP), mitogen-activated protein kinases (MAP2K) and Wingless-related integration site (WNT) family proteins. Exploring these proteins and their downstream effectors in Hispanic CRC tissues and organoids would elucidate specific functional attributes influencing CRC progression. Understanding the interaction of proteins identified in this study may serve as potential ethnicity-specific biomarkers or targets for the development of novel therapeutic interventions for early-stage CRC diagnosis in Hispanics. Citation Format: Soumya Nair, Brian I Grajeda, Sourav Roy. The role of the S100 family signaling pathway proteins in Hispanic colorectal cancer disparities [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C110.

An electrochemical immunosensor for sensitive and rapid detection of cystatin C based on Fe3O4/AuNPs-MWCNTs@PDA nanocomposite

Serum Cystatin C (CysC) is an impressive marker for early diagnosis of renal dysfunction. In this work, we established a novel electrochemical immunosensor based on Fe3O4/AuNPs-MWCNTs@PDA nanocomposite for the detection of CysC. The Fe3O4/AuNPs-MWCNTs@PDA nanozyme complex by polydopamine encapsulation can not only carry massive detection antibodies, but also bind the electroactive substance toluidine blue (TB) through electrostatic adsorption. By immobilizing AuNPs onto the electrode to bind the capture antibody (Ab1), we constructed a sandwich electrochemical immunosensor with low cost, high sensitivity, and repeatability. The detection range is 3.9–125.0 ng/mL with a significant linear relationship between the current peak difference (ip) and logarithm of the CysC concentration. Moreover, the detection limit of the immunosensor is 0.157 ng/mL. We have successfully utilized this novel immunosensor to detect CysC in human serum samples, and these results have implications for its potential use in clinical application.

Exploiting Speech Tremors: Machine Learning for Early Diagnosis of Amyotrophic Lateral Sclerosis

Abstract Neurodegenerative diseases pose significant challenges in healthcare, with Amyotrophic Lateral Sclerosis (ALS) being one such rare yet debilitating condition affecting motor neurons. Machine learning (ML) and artificial intelligence (AI) have emerged as powerful tools in healthcare, offering insights and solutions for various medical conditions. This study focuses on utilizing ML and AI to establish an early diagnosis of ALS through tremor detection in sustained speech. The study aims to establish an early diagnosis of ALS by analyzing tremors detected in sustained speech. The dataset comprises 54 patients from the Republican Research and Clinical Centre of Neurology and Neurosurgery in Belarus, Minsk. The study adopts a two-faceted approach: (1) Exploratory voice analysis to identify tremors associated with ALS in speech samples. (2) Development of ML algorithms to construct predictive models for early ALS diagnosis based on the identified tremors. The ML models exhibit promising results in distinguishing ALS patients from healthy controls based on speech analysis. Tremor detection in sustained speech proves to be an effective marker for early ALS diagnosis. While initial findings are encouraging, larger-scale studies are required to validate the clinical applicability of this approach. The successful application of ML and AI in early ALS diagnosis by leveraging innovative approaches, such as tremor detection in sustained speech, we can enhance early diagnosis and improve patient outcomes in neurodegenerative diseases like ALS on a broader scale.&amp;#xD;

The value of SDC2 and Septin9 combined with serum tumor markers in early diagnosis of colorectal cancer

ObjectiveThe aim of this study is to evaluate the significance of combined detection of Septin9 and syndecan-2 (SDC2) methylation markers and serum tumor markers for the early diagnosis of colorectal cancer.MethodsA total of 116 patients diagnosed with colorectal cancer between December 2022 and February 2024 were designated as the colorectal cancer group. Additionally, 31 patients with colorectal adenoma were assigned to the adenoma group, while 44 individuals undergoing routine physical examinations were included in the control group. Concentrations of Septin9, SDC2, fecal occult blood (FOB), and four tumor markers—carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), carbohydrate antigen 125 (CA125), and carbohydrate antigen 724 (CA724)—were measured. Diagnostic performance was assessed using receiver operating characteristic (ROC) curves for Septin9, SDC2, the four tumor markers, FOB, the combination of Septin9 and SDC2, and the combined use of all seven indicators (CEA, CA19-9, CA125, CA72-4, FOB, Septin9, and SDC2).ResultsThe colorectal cancer group exhibited the highest positive rates for Septin9, SDC2, the four tumor markers, the combined detection of Septin9 and SDC2, and the combined detection of all seven indicators, compared to both the adenoma and control groups (P < 0.05). The adenoma group also showed higher positive rates than the control group (P < 0.05). For patients with stage I–III colorectal cancer, the positive rates for the combined detection of Septin9 and SDC2 were 81.3%, 78.9%, and 90.2%, respectively, surpassing those for the combined detection of the four tumor markers (43.8%, 55.3%, and 61.0%). Additionally, the positive rates for the two-gene combination in stage III colorectal cancer were higher than those for FOB (P < 0.05). The sensitivity and area under the curve (AUC) for SDC2 were 73.3% and 0.855, respectively, exceeding the sensitivity and AUC for the combined four tumor markers, which were 60.3% and 0.734 (P < 0.05). The combined detection of the two methylated genes demonstrated a sensitivity of 86.2% and an AUC of 0.908, outperforming both FOB and the combined detection of the four tumor markers (P < 0.05).ConclusionThe detection of SDC2 exhibits high sensitivity for colorectal cancer, and when combined with Septin9, it significantly enhances the diagnostic accuracy for early-stage colorectal cancer, offering substantial clinical value.

Circulating Exosomes Studied by Label-free Proteomics Analysis Reveal Transition Signatures from Diabetes Mellitus to Diabetic Kidney Disease

Background: Diabetic kidney disease (DKD) is a common microvascular complication of diabetic mellitus (DM). At present, the early diagnosis of DKD mainly depends on microalbuminuria, which is prone to be affected by confounding factors such as urinary tract infections. Methods: To identify the more stable early diagnosis markers, the whole proteome in the circulating exosomes from controls, DM patients, and DKD patients was quantified by label-free proteomics analysis and then validated with parallel reaction monitoring. Results: Three hundred ninety-one quantitative proteins were detected, and the expression trends of 7 proteins in the validation phase were consistent with that in the discovery phase. The expression level assessment results revealed that the expression of EFEMP1 and ApoA4 in the DKD group was significantly higher than those in DM and controls. Correlation analysis showed that EFEMP1 and APOA4 were positively correlated with urinary microalbumin and urinary albumin creatinine ratio and had excellent diagnostic values for distinguishing DKD from DM and controls. Conclusions: ApoA4 and EFEMP1 could serve as the early diagnosis markers of DKD. These findings provide a possibility for the development of a clinical diagnostic index that can efficiently distinguish DKD from DM in the near future.

Diagnostic Accuracy of C-Reactive Protein in Acute Appendicitis

Objective: To determine diagnostic accuracy of C-reactive protein in acute appendicitis. Study Design: Cross-sectional study. Place and Duration of Study: Surgical unit Combined Military Hospital Gujranwala Pakistan, from Apr 2019 to Jan 2021. Methodology: One hundred and twenty patients were included in the study following the inclusion criteria after their written permission and willingness. C-reactive protein levels were sent pre-operatively to the Pathology department of Combined Military Hospital Gujranwala. Patients were operated on by two classified surgeons. After open and laparoscopic appendectomies, specimens were sent to Histopathologists at Armed Forces Institute of Pathology Rawalpindi. Results were compared to determine the diagnostic accuracy of C-reactive protein. Results: Out of 120 patients, 72(60%) were males and 48(40%) were females. The diagnostic accuracy of C-reactive protein in acute appendicitis was calculated by keeping tissue diagnosis histopathology as the gold standard, where 82(68.33%) were true positive, 7(5.84%) were false positive, 13(10.83%) were true negative, and 18(15%) were false negative. Sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy were 89.13%, 67.86%, 90.11%, 65.52% and 84.17% respectively. Conclusion: The of C-reactive protein level test for the diagnosis of acute appendicitis was very sensitive but not very specific. C-reactive protein levels should be measured routinely in suspected cases of acute appendicitis, along with Total Leucocyte Count and ultrasound abdomen, as a useful marker for early diagnosis, thus reducing negative appendectomy rates.

Role of HSP90 in Type 2 Diabetes Mellitus and Its Association with Liver Diseases.

Non-alcoholic fatty acid liver disease (NAFLD), non-alcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC) are the fatal liver diseases which encompass a spectrum of disease severity associated with increased risk of type 2 diabetes mellitus (T2DM), a metabolic disorder. Heat shock proteins serve as markers in early prognosis and diagnosis of early stages of liver diseases associated with metabolic disorder. This review aims to comprehensively investigate the significance of HSP90 isoforms in T2DM and liver diseases. Additionally, we explore the collective knowledge on plant-based drug compounds that regulate HSP90 isoform targets, highlighting their potential in treating T2DM-associated liver diseases. Furthermore, this review focuses on the computational systems' biology and next-generation sequencing technology approaches that are used to unravel the potential medicine for the treatment of pleiotropy of these 2 diseases and to further elucidate the mechanism.

Presepsin in Human Milk Is Delivery Mode and Gender Dependent.

Breast milk (BM) is a unique food due to its nutritional composition and anti-inflammatory characteristics. Evidence has emerged on the role of Presepsin (PSEP) as a reliable marker of early sepsis diagnosis. In the present study, we aimed to investigate the measurability of PSEP in BM according to different maturation stages (colostrum, C; transition, Tr; and mature milks, Mt) and corrected for delivery mode and gender. We conducted a multicenter prospective case-control study in women who had delivered 22 term (T) and 22 preterm (PT) infants. A total of 44 human milk samples were collected and stored at -80 °C. BM PSEP (pg/mL) levels were measured by using a rapid chemiluminescent enzyme immunoassay. PSEP was detected in all samples analyzed. Higher (p < 0.05) BM PSEP concentrations were observed in the PT compared to the T infants. According to the grade of maturation, higher (p < 0.05) levels of PSEP in C compared to Tr and Mt milks were observed in the whole study population. The BM subtypes' degrees of maturation were delivery mode and gender dependent. We found that PSEP at high concentrations supports its antimicrobial action both in PT and T infants. These results open the door to further studies investigating the role of PSEP.