Emerging role of non-invasive and liquid biopsy biomarkers in pancreatic cancer

A global increase in the incidence of pancreatic cancer(PanCa)presents a major concern and health burden.The traditional tissue-based diagnostic techniques provided a major way forward for molecular diagnostics;however,they face limitations based on diagnosis-associated difficulties and concerns surrounding tissue availability in the clinical setting.Late disease development with asymptomatic behavior is a drawback in the case of existing diagnostic procedures.The capability of cell free markers in discriminating PanCa from autoimmune pancreatitis and chronic pancreatitis along with other precancerous lesions can be a boon to clinicians.Early-stage diagnosis of PanCa can be achieved only if these biomarkers specifically discriminate the non-carcinogenic disease stage from malignancy with respect to tumor stages.In this review,we comprehensively described the non-invasive disease detection approaches and why these approaches are gaining popularity for their early-stage diagnostic capability and associated clinical feasibility.

A systematic review of salivary biomarkers in Parkinson's disease

The search fo r reliable and easily accessible biomarkers in Parkinson's disease is receiving a growing emphasis,to detect neurodegeneration from the prodromal phase and to enforce disease-modifying therapies.Despite the need for non-invasively accessible biomarke rs,the majo rity of the studies have pointed to cerebrospinal fluid or peripheral biopsies biomarkers,which require invasive collection procedures.Saliva represents an easily accessible biofluid and an incredibly wide source of molecular biomarkers.In the present study,after presenting the morphological and biological bases for looking at saliva in the search of biomarkers for Parkinson's disease,we systematically reviewed the results achieved so far in the saliva of different cohorts of Parkinson's disease patients.A comprehensive literature search on PubMed and SCOPUS led to the discovery of 289articles.After screening and exclusion,34 relevant articles were derived fo r systematic review.Alpha-synuclein,the histopathological hallmark of Parkinson's disease,has been the most investigated Parkinson's disease biomarker in saliva,with oligomeric alphasynuclein consistently found increased in Parkinson's disease patients in comparison to healthy controls,while conflicting results have been reported regarding the levels of total alpha-synuclein and phosphorylated alpha-synuclein,and few studies described an increased oligomeric alpha-synuclein/total alpha-synuclein ratio in Parkinson's disease.Beyond alpha-synuclein,other biomarkers to rgeting diffe rent molecular pathways have been explored in the saliva of Parkinson's disease patients:total tau,phosphorylated tau,amyloid-β1-42(pathological protein aggregation biomarkers);DJ-1,heme-oxygenase-l,metabolites(alte red energy homeostasis biomarkers);MAPLC-3beta(aberrant proteostasis biomarker);cortisol,tumor necrosis factor-alpha(inflammation biomarkers);DNA methylation,miRNA(DNA/RNA defects biomarkers);acetylcholinesterase activity(synaptic and neuronal network dysfunction biomarkers);Raman spectra,proteome,and caffeine.Despite a few studies investigating biomarkers to rgeting molecular pathways different from alpha-synuclein in Parkinson's disease,these results should be replicated and observed in studies on larger cohorts,considering the potential role of these biomarkers in determining the molecular variance among Parkinson's disease subtypes.Although the need fo r standardization in sample collection and processing,salivary-based biomarkers studies have reported encouraging results,calling for large-scale longitudinal studies and multicentric assessments,given the great molecular potentials and the non-invasive accessibility of saliva.

Paleoenvironmental Characteristics of Paleogene Lacustrine Source Rocks in the Western Bozhong Sag,Bohai Bay Basin,China:Evidence from Biomarkers,Major and Trace Elements

The organic matter(OM)enrichment mechanisms and depositional environment characteristics of lacustrine source rocks in the western Bozhong Sag,Bohai Bay Basin in Northeast China remain controversial.To address these issues,based on Rock-Eval pyrolysis,kerogen macerals,H/C and O/C ratios,GC-MS,major and trace elements,the Dongying Formation Member(Mbr)3(E_(3)d_(3)),the Shahejie Formation mbrs 1 and 2(E_(2)s_(1+2)),and the Shahejie Mbr 3(E_(2)s_(3))source rocks in the western Bozhong Sag were studied.The above methods were used to reveal their geochemical properties,OM origins and depositional environments,all of which indicate that E_(2)s_(1+2)and E_(2)s_(3)are excellent source rocks,and that E_(3)d_(3)is of the second good quality.E_(3)d_(3)source rocks were formed under a warm and humid climate,mainly belong to fluvial/delta facies,the E_(3)d_(3)sediments formed under weakly oxidizing and freshwater conditions.Comparatively,the depositional environments of E_(2)s_(1+2)source rocks were arid and cold climate,representing saline or freshwater lacustrine facies,and the sediments of E_(2)s_(1+2)belong to anoxic or suboxic settings with large evaporation and salinity.During the period of E_(2)s_(3),the climate became warm and humid,indicating the freshwater lacustrine facies,and E_(2)s_(3)was characterized by freshwater and abundant algae.Moreover,compared with other intervals,the OM origin of E_(3)d_(3)source rocks has noticeable terrestrial input.The OM origin of the E_(2)s_(1+2)and E_(2)s_(3)are mainly plankton and bacteria.Tectonic subsidence and climate change have affected the changes of the depositional environment in the western Bozhong Sag,thus controlling the distribution of the source rocks,the geochemical characteristics in the three intervals of lacustrine source rocks have distinct differences.Overall,these factors are effective to evaluate the paleoenvironmental characteristics of source rocks by biomarkers,major and trace elements.The established models may have positive implications for research of lacustrine source rocks in offshore areas with few drillings.

MicroRNAs as potential biomarkers for diagnosis of attention deficit hyperactivity disorder

Inappropriate levels of hyperactivity,impulsivity,and inattention characterize attention deficit hyperactivity disorder,a common childhood-onset neuropsychiatric disorder.The cognitive function and learning ability of children with attention deficit hyperactivity disorder are affected,and these symptoms may persist to adulthood if they are not treated.The diagnosis of attention deficit hyperactivity disorder is only based on symptoms and objective tests for attention deficit hyperactivity disorder are missing.Treatments for attention deficit hyperactivity disorder in children include medications,behavior therapy,counseling,and education services which can relieve many of the symptoms of attention deficit hyperactivity disorder but cannot cure it.There is a need for a molecular biomarker to distinguish attention deficit hyperactivity disorder from healthy subjects and other neurological conditions,which would allow for an earlier and more accurate diagnosis and appropriate treatment to be initiated.Abnormal expression of microRNAs is connected to brain development and disease and could provide novel biomarkers for the diagnosis and prognosis of attention deficit hyperactivity disorder.The recent studies reviewed had performed microRNA profiling in whole blood,white blood cells,blood plasma,and blood serum of children with attention deficit hyperactivity disorder.A large number of microRNAs were dysregulated when compared to healthy controls and with some overlap between individual studies.From the studies that had included a validation set of patients and controls,potential candidate biomarkers for attention deficit hyperactivity disorder in children could be miR-140-3p,let-7g-5p,-30e-5p,-223-3p,-142-5p,-486-5p,-151a-3p,-151a-5p,and-126-5p in total white blood cells,and miR-4516,-6090,-4763-3p,-4281,-4466,-101-3p,-130a-3p,-138-5p,-195-5p,and-106b-5p in blood serum.Further studies are warranted with children and adults with attention deficit hyperactivity disorder,and consideration should be given to utilizing rat models of attention deficit hyperactivity disorder.Animal studies could be used to confirm microRNA findings in human patients and to test the effects of targeting specific microRNAs on disease progression and behavior.

MicroRNAs as potential biomarkers for diagnosis of schizophrenia and influence of antipsychotic treatment

Chara cterized by positive symptoms(such as changes in behavior or thoughts,including delusions and hallu cinations),negative symptoms(such as apathy,anhedonia,and social withdrawal),and cognitive impairments,schizophrenia is a chro nic,severe,and disabling mental disorder with late adolescence or early adulthood onset,Antipsychotics are the most commonly used drugs to treat schizophrenia,but those currently in use do not fully reverse all three types of symptoms characte rizing this condition.Schizophrenia is frequently misdiagnosed,resulting in a delay of or inappropriate treatment.Abnormal expression of microRNAs is connected to brain development and disease and could provide novel biomarkers for the diagnosis and prognosis of schizophrenia.The recent studies reviewed included microRNA profiling in blood-and urine-based materials and nervous tissue mate rials.From the studies that had validated the preliminary findings,potential candidate biomarkers for schizophrenia in adults could be miR-22-3p,-30e-5p,-92a-3p,-148b-5p,-181a-3p,-181a-5p,-181b-5p,-199 b-5p,-137 in whole blood,and miR-130b,-193a-3p in blood plasma.Antipsychotic treatment of schizophrenia patients was found to modulate the expression of certain microRNAs including miR-130b,-193a-3p,-132,-195,-30e,-432 in blood plasma.Further studies are warranted with adolescents and young adults having schizophrenia and consideration should be given to using animal models of the disorder to investigate the effect of suppressing or overexpressing specific microRNAs.

Circulating proteomic biomarkers for diagnosing sporadic amyotrophic lateral sclerosis:a cross-sectional study

Biomarke rs are required for the early detection,prognosis prediction,and monitoring of amyotrophic lateral sclerosis,a progressive disease.Proteomics is an unbiased and quantitative method that can be used to detect neurochemical signatures to aid in the identification of candidate biomarke rs.In this study,we used a label-free quantitative proteomics approach to screen for substantially differentially regulated proteins in ten patients with sporadic amyotrophic lateral scle rosis compared with five healthy controls.Su bstantial upregulation of serum proteins related to multiple functional clusters was observed in patients with spo radic amyotrophic lateral sclerosis.Potential biomarke rs were selected based on functionality and expression specificity.To validate the proteomics profiles,blood samples from an additional cohort comprising 100 patients with sporadic amyotrophic lateral sclerosis and 100 healthy controls were subjected to enzyme-linked immunosorbent assay.Eight substantially upregulated serum proteins in patients with spora dic amyotrophic lateral sclerosis were selected,of which the cathelicidin-related antimicrobial peptide demonstrated the best discriminative ability between patients with sporadic amyotrophic lateral sclerosis and healthy controls(area under the curve[AUC]=0.713,P<0.0001).To further enhance diagnostic accuracy,a multi-protein combined discriminant algorithm was developed incorporating five proteins(hemoglobin beta,cathelicidin-related antimicrobial peptide,talin-1,zyxin,and translationally-controlled tumor protein).The algo rithm achieved an AUC of 0.811 and a P-value of<0.0001,resulting in 79%sensitivity and 71%specificity for the diagnosis of sporadic amyotrophic lateral scle rosis.Subsequently,the ability of candidate biomarkers to discriminate between early-stage amyotrophic lateral sclerosis patients and controls,as well as patients with different disease severities,was examined.A two-protein panel comprising talin-1 and translationally-controlled tumor protein effectively distinguished early-stage amyotrophic lateral sclerosis patients from controls(AUC=0.766,P<0.0001).Moreove r,the expression of three proteins(FK506 binding protein 1A,cathelicidin-related antimicrobial peptide,and hemoglobin beta-1)was found to increase with disease progression.The proteomic signatures developed in this study may help facilitate early diagnosis and monitor the progression of sporadic amyotrophic lateral sclerosis when used in co mbination with curre nt clinical-based parameters.

Transcriptome sequencing reveals novel biomarkers and immune cell infiltration in esophageal tumorigenesis

BACKGROUND Esophageal squamous cell carcinoma(ESCC)is one of the most common malignancies worldwide,and its development comprises a multistep process from intraepithelial neoplasia(IN)to carcinoma(CA).However,the critical regulators and underlying molecular mechanisms remain largely unknown.AIM To explore the genes and infiltrating immune cells in the microenvironment that are associated with the multistage progression of ESCC to facilitate diagnosis and early intervention.METHODS A mouse model mimicking the multistage development of ESCC was established by providing warter containing 4-nitroquinoline 1-oxide(4NQO)to C57BL/6 mice.Moreover,we established a control group without 4NQO treatment of mice.Then,transcriptome sequencing was performed for esophageal tissues from patients with different pathological statuses,including low-grade IN(LGIN),high-grade IN(HGIN),and CA,and controlled normal tissue(NOR)samples.Differentially expressed genes(DEGs)were identified in the LGIN,HGIN,and CA groups,and the biological functions of the DEGs were analyzed via Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses.The CIBERSORT algorithm was used to detect the pattern of immune cell infilt-ration.Immunohistochemistry(IHC)was also conducted to validate our results.Finally,the Luminex multiplex cytokine analysis was utilized to measure the serum cytokine levels in the mice.RESULTS Compared with those in the NOR group,a total of 681541,and 840 DEGs were obtained in the LGIN,HGIN,and CA groups,respectively.Using the intersection of the three sets of DEGs,we identified 86 genes as key genes involved in the development of ESCC.Enrichment analysis revealed that these genes were enriched mainly in the keratinization,epidermal cell differentiation,and interleukin(IL)-17 signaling pathways.CIBERSORT analysis revealed that,compared with those in the NOR group,M0 and M1 macrophages in the 4NQO group showed stronger infiltration,which was validated by IHC.Serum cytokine analysis revealed that,compared with those in the NOR group,IL-1βand IL-6 were upregulated,while IL-10 was downregulated in the LGIN,HGIN,and CA groups.Moreover,the expression of the representative key genes,such as S100a8 and Krt6b,was verified in external human samples,and the results of immunohistochemical staining were consistent with the findings in mice.CONCLUSION We identified a set of key genes represented by S100a8 and Krt6b and investigated their potential biological functions.In addition,we found that macrophage infiltration and abnormal alterations in the levels of inflam-mation-associated cytokines,such as IL-1β,IL-6,and IL-10,in the peripheral blood may be closely associated with the development of ESCC.

Interplay of serum biomarkers bilirubin andγ-glutamyltranspeptidase in predicting cardiovascular complications in type-2 diabetes mellitus

This editorial synthesizes insights from a series of studies examining the interplay between metabolic and oxidative stress biomarkers in cardiovascular disease(CVD),focusing particularly on type-2 diabetes mellitus(T2DM)and acute coronary syndrome(ACS).The central piece of this synthesis is a study that investigates the balance between oxidative stress and antioxidant systems in the body through the analysis of serum bilirubin andγ-glutamyltranspeptidase(γ-GGT)levels in T2DM patients with ACS.This study highlights serum bilirubin as a protective antioxidant factor,while elevatedγ-GGT levels indicate increased oxidative stress and correlate with major adverse cardiovascular events.Complementary to this,other research contributions revealγ-GGT’s role as a risk factor in ACS,its association with cardiovascular mortality in broader populations,and its link to metabolic syndrome,further elucidating the metabolic dysregulation in CVDs.The collective findings from these studies underscore the critical roles ofγ-GGT and serum bilirubin in cardiovascular health,especially in the context of T2DM and ACS.By providing a balanced view of the body’s oxidative and antioxidative mechanisms,these insights suggest potential pathways for targeted interventions and improved prognostic assessments in patients with T2DM and ACS.This synthesis not only corroborates the pivotal role ofγ-GGT in cardiovascular pathology but also introduces the protective potential of antioxidants like bilirubin,illuminating the complex interplay between T2DM and heart disease.These studies collectively underscore the critical roles of serum bilirubin andγ-GGT as biomarkers in cardiovascular health,particularly in T2DM and ACS contexts,offering insights into the body’s oxidative and antioxidative mechanisms.This synthesis of research supports the potential of these biomarkers in guiding therapeutic strategies and improving prognostic assessments for patients with T2DM and some CVD.

Comparative effects of insulin pump and injection on gestational diabetes mellitus pregnancy outcomes and serum biomarkers

BACKGROUND Insulin injection is the basic daily drug treatment for diabetic patients.AIM To evaluate the comparative impacts of continuous subcutaneous insulin infusion(CSII).METHODS Based on the treatment modality received,the patients were allocated into two cohorts:The CSII group and the multiple daily injections(MDI)group,with each cohort comprising 210 patients.Comparative assessments were made regarding serum levels of serum-secreted frizzled-related protein 5,homocysteine,and C1q/TNF-related protein 9.Furthermore,outcomes such as fasting plasma glucose,2-hour postprandial glucose levels,pain assessment scores,and the incidence of complications were evaluated post-treatment.RESULTS The CSII group displayed notably lower fasting plasma glucose and 2-h postprandial glucose levels in comparison to the MDI group(P<0.05).Subsequent analysis post-treatment unveiled a significantly higher percentage of patients reporting no pain in the CSII group(60.00%)in contrast to the MDI group(36.19%)(P<0.05).Additionally,the CSII group exhibited a markedly reduced occurrence of fetal distress and premature rupture of membranes compared to the MDI group(P<0.05).However,there were no significant variances observed in other pregnancy outcomes between the two groups(P>0.05).A statistical analysis revealed a significant difference in the incidence of complications between the groups(χ^(2)=11.631,P=0.001).CONCLUSION The utilization of CSII via an insulin pump,as opposed to MDI,can significantly enhance the management of insulin administration in patients with GDM by diversifying the sites of insulin delivery.This approach not only promotes optimal glycemic control but also regulates metabolic factors linked to blood sugar,reducing the likelihood of adverse pregnancy outcomes and complications.The clinical relevance and importance of CSII in GDM management highlight its wide-ranging clinical usefulness.

Urinary exosomal microRNA-145-5p and microRNA-27a-3p act as noninvasive diagnostic biomarkers for diabetic kidney disease

BACKGROUND Diabetic kidney disease(DKD),characterized by increased urinary microalbumin levels and decreased renal function,is the primary cause of end-stage renal di-sease.Its pathological mechanisms are complicated and multifactorial;Therefore,sensitive and specific biomarkers are needed.Urinary exosome originate from diverse renal cells in nephron segments and partially mirror the pathological changes in the kidney.The microRNAs(miRNAs)in urinary exosome are remark-ably stable and highly tissue-specific for the kidney.METHODS Type 2 diabetic mellitus(T2DM)patients were recruited from the Second Hospital of Hebei Medical University and were divided into two groups:DM,diabetic pa-tients without albuminuria[urinary albumin to creatinine ratio(UACR)<30 mg/g]and DKD,diabetic patients with albuminuria(UACR≥30 mg/g).Healthy subjects were the normal control(NC)group.Urinary exosomal miR-145-5p,miR-27a-3p,and miR-29c-3p,were detected using real-time quantitative polymerase chain reaction.The correlation between exosomal miRNAs and the clinical in-dexes was evaluated.The diagnostic values of exosomal miR-145-5p and miR-27a-3p in DKD were determined using receiver operating characteristic(ROC)analysis.Biological functions of miR-145-5p were investigated by performing RESULTS Urinary exosomal expression of miR-145-5p and miR-27a-3p was more upregulated in the DKD group than in the DM group(miR-145-5p:4.54±1.45 vs 1.95±0.93,P<0.001;miR-27a-3p:2.33±0.79 vs 1.71±0.76,P<0.05)and the NC group(miR-145-5p:4.54±1.45 vs 1.55±0.83,P<0.001;miR-27a-3p:2.33±0.79 vs 1.10±0.51,P<0.001).The exosomal miR-145-5p and miR-27a-3p positively correlated with albuminuria and serum creatinine and negatively correlated with the estimated glomerular filtration rate.miR-27a-3p was also closely related to blood glucose,gly-cosylated hemoglobin A1c,and low-density lipoprotein cholesterol.ROC analysis revealed that miR-145-5p had a better area under the curve of 0.88[95%confidence interval(CI):0.784-0.985,P<0.0001]in diagnosing DKD than miR-27a-3p with 0.71(95%CI:0.547-0.871,P=0.0239).Bioinformatics analysis revealed that the target genes of miR-145-5p were located in the actin filament,cytoskeleton,and extracellular exosome and were involved in the pathological processes of DKD,including apoptosis,inflammation,and fibrosis.CONCLUSION Urinary exosomal miR-145-5p and miR-27a-3p may serve as novel noninvasive diagnostic biomarkers or promising therapeutic targets for DKD.

Evaluating serum CXCL12,sCD22,Lp-PLA2 levels and ratios as biomarkers for diagnosis of Alzheimer's disease

BACKGROUND Grasping the underlying mechanisms of Alzheimer's disease(AD)is still a work in progress,and existing diagnostic techniques encounter various obstacles.Therefore,the discovery of dependable biomarkers is essential for early detection,tracking the disease's advancement,and steering treatment strategies.AIM To explore the diagnostic potential of serum CXCL12,sCD22,Lp-PLA2,and their ratios in AD,aiming to enhance early detection and inform targeted treatment strategies.METHODS The study was conducted in Dongying people's Hospital from January 2021 to December 2022.Participants included 60 AD patients(AD group)and 60 healthy people(control group).Using a prospective case-control design,the levels of CXCL12,sCD22 and Lp-PLA2 and their ratios were detected by enzyme-linked immunosorbent assay kit in the diagnosis of AD.The differences between the two groups were analyzed by statistical methods,and the corresponding ratio was constructed to improve the specificity and sensitivity of diagnosis.RESULTS Serum CXCL12 levels were higher in the AD group(47.2±8.5 ng/mL)than the control group(32.8±5.7 ng/mL,P<0.001),while sCD22 levels were lower(14.3±2.1 ng/mL vs 18.9±3.4 ng/mL,P<0.01).Lp-PLA2 levels were also higher in the AD group(112.5±20.6 ng/mL vs 89.7±15.2 ng/mL,P<0.05).Significant differences were noted in CXCL12/sCD22(3.3 vs 1.7,P<0.001)and Lp-PLA-2/sCD22 ratios(8.0 vs 5.2,P<0.05)between the groups.Receiver operating characteristic analysis confirmed high sensitivity and specificity of these markers and their ratios in distinguishing AD,with area under the curves ranging from CONCLUSION Serum CXCL12 and Lp-PLA2 levels were significantly increased,while sCD22 were significantly decreased,as well as increases in the ratios of CXCL12/sCD22 and Lp-PLA2/sCD22,are closely related to the onset of AD.These biomarkers and their ratios can be used as potential diagnostic indicators for AD,providing an important clinical reference for early intervention and treatment.

Phospholipase A2 enzymes PLA2G2A and PLA2G12B as potential diagnostic and prognostic biomarkers in cholangiocarcinoma

BACKGROUND Phospholipase A2(PLA2)enzymes are pivotal in various biological processes,such as lipid mediator production,membrane remodeling,bioenergetics,and maintaining the body surface barrier.Notably,these enzymes play a significant role in the development of diverse tumors.AIM To systematically and comprehensively explore the expression of the PLA2 family genes and their potential implications in cholangiocarcinoma(CCA).METHODS We conducted an analysis of five CCA datasets from The Cancer Genome Atlas and the Gene Expression Omnibus.The study identified differentially expressed genes between tumor tissues and adjacent normal tissues,with a focus on PLA2G2A and PLA2G12B.Gene Set Enrichment Analysis was utilized to pinpoint associated pathways.Moreover,relevant hub genes and microRNAs for PLA2G2A and PLA2G12B were predicted,and their correlation with the prognosis of CCA was evaluated.RESULTS PLA2G2A and PLA2G12B were discerned as differentially expressed in CCA,manifesting significant variations in expression levels in urine and serum between CCA patients and healthy individuals.Elevated expression of PLA2G2A was correlated with poorer overall survival in CCA patients.Additionally,the study delineated pathways and miRNAs associated with these genes.CONCLUSION Our findings suggest that PLA2G2A and PLA2G12B may serve as novel potential diagnostic and prognostic markers for CCA.The increased levels of these genes in biological fluids could be employed as non-invasive markers for CCA,and their expression levels are indicative of prognosis,underscoring their potential utility in clinical settings.

Quantitative hepatitis B core antibody and quantitative hepatitis B surface antigen:Novel viral biomarkers for chronic hepatitis B management

The management of hepatitis B virus(HBV)infection now involves regular and appropriate monitoring of viral activity,disease progression,and treatment response.Traditional HBV infection biomarkers are limited in their ability to predict clinical outcomes or therapeutic effectiveness.Quantitation of HBV core antibodies(qAnti-HBc)is a novel non-invasive biomarker that may help with a variety of diagnostic issues.It was shown to correlate strongly with infection stages,hepatic inflammation and fibrosis,chronic infection exacerbations,and the presence of occult infection.Furthermore,qAnti-HBc levels were shown to be predictive of spontaneous or treatment-induced HBeAg and HBsAg seroclearance,relapse after medication termination,re-infection following liver transplantation,and viral reactivation in the presence of immunosuppression.qAnti-HBc,on the other hand,cannot be relied on as a single diagnostic test to address all problems,and its diagnostic and prognostic potential may be greatly increased when paired with qHBsAg.Commercial qAnti-HBc diagnostic kits are currently not widely available.Because many methodologies are only semi-quantitative,comparing data from various studies and defining universal cut-off values remains difficult.This review focuses on the clinical utility of qAnti-HBc and qHBsAg in chronic hepatitis B management.

Identification and Validation of Vascular-Associated Biomarkers for the Prognosis and Potential Pathogenesis of Hypertension Using Comprehensive Bioinformatics Methods

Background: Hypertension, also known as increased blood pressure, is a phenomenon in which blood flows in blood vessels and causes persistently higher-than-normal pressure on the vessel wall. The identification of novel prognostic and pathogenesis biomarkers plays a key role in the management of hypertension. Methods: The GSE7483 and GSE75815 datasets from the gene expression omnibus (GEO) database were used to identify the genes associated with hypertension that were differentially expressed genes (DEGs). The functional role of the DEGs was elucidated by gene body (GO) enrichment analysis. In addition, we performed an immune infiltration assay and GSEA on the DEGs of hypertensive patients and verified the expression of novel DEGs in the blood of hypertensive patients by RT-qPCR. Results: A total of 267 DEGs were identified from the GEO database. GO analysis revealed that these genes were associated mainly with biological processes such as fibroblast proliferation, cell structural organization, extracellular matrix organization, vasculature development regulation, and angiogenesis. We identified five possible biomarkers, Ecm1, Sparc, Sphk1, Thbsl, and Mecp2, which correlate with vascular development and angiogenesis characteristic of hypertension by bioinformatics, and explored the clinical expression levels of these genes by RT-qPCR, and found that Sparc, Sphk1, and Thbs1 showed significant up-regulation, in agreement with the results of the bioinformatics analysis. Conclusion: Our study suggested that Sparc, Sphk1 and Thbs1 may be potential novel biomarkers for the diagnosis, treatment and prognosis of hypertension and that they are involved in the regulation of vascular development and angiogenesis in hypertension.

Identification and Validation of Novel Biomarkers Related to the Calcium Metabolism Pathway in Hypertension Patients Based on Comprehensive Bioinformatics Methods

Background: Hypertension is a universal risk factor for cardiovascular diseases and is thus the leading cause of death worldwide. The identification of novel prognostic and pathogenesis biomarkers plays a key role in disease management. Methods: The GSE145854 and GSE164494 datasets were downloaded from the Gene Expression Omnibus (GEO) database and used for screening and validating hypertension signature genes, respectively. Gene Ontology (GO) enrichment analysis was performed on the differentially expressed genes (DEGs) related to calcium ion metabolism in patients with hypertension. The core genes related to immune infiltration were analyzed and screened, and the activity of the signature genes and related pathways was quantified using gene set enrichment analysis (GSEA). The infiltration of immune cells in the blood samples was analyzed, and the DEGs that were abnormally expressed in the clinical blood samples of patients with hypertension were verified via RT-qPCR. Results: A total of 176 DEGs were screened. GO showed that DEGs was involved in the regulation of calcium ion metabolism in biological processes (BP), actin mediated cell contraction, negative regulation of cell movement, and calcium ion transmembrane transport, and in the regulation of protease activity in molecular functions (MF). KEGG analysis revealed that the DEGs were involved mainly in the cGMP-PKG signaling pathway, ubiquitin-protein transferase, tight junction-associated proteins, and the regulation of myocardial cells. MF analysis revealed the immune infiltration function of the cells. RT-qPCR revealed that the expression of Cacna1d, Serpine1, Slc8a3, and Trpc4 was up regulated in hypertension, the expression of Myoz2 and Slc25a23 was down regulated. Conclusion: Cacna1d, Serpine1, Slc8a3, Trpc4, Myoz2 and Slc25a23 may be involved in the regulation of calcium metabolism pathways and play key roles in hypertension. These differentially expressed calcium metabolism-related genes may serve as prognostic markers of hypertension.

Des-gamma-carboxy prothrombin and alpha-fetoprotein levels as biomarkers for hepatocellular carcinoma and their correlation with radiological characteristics

BACKGROUND Alpha-fetoprotein(AFP),a commonly used biomarker for hepatocellular carcinoma(HCC),is normal in up to one-third of patients.AIM To evaluate the diagnostic performance of des-gamma-carboxy-prothrombin(DCP)alone and in combination with AFP.METHODS In this study,202 patients with radiologically proven HCC were enrolled,and their DCP and AFP levels were evaluated for their diagnostic performance.RESULTS The mean age of the enrolled patients was 58.5 years;72.0%were male.DCP was elevated in 86.6%(n=175)of all patients,100.0%(n=74)of patients with portal vein thrombus,and 87.4%(n=111)of patients with multicentric HCC.AFP was elevated in 64.3%(n=130)of all the patients,74%(n=55)of the patients with portal vein thrombus,and 71.6%(n=91)of the patients with multicentric HCC(P=0.030,0.001,and 0.015,respectively).In tumors less than 2 cm in size(n=46),DCP was increased in 32(69.5%)patients,and AFP was increased in 25(54.3%)patients(P=0.801).There was good pairing between DCP and AFP for HCCs of 2 cm size or larger(P<0.001);however,the pairing among tumors<2 cm size was not significant(P=0.210).In 69 of the patients(34.1%),only one of the tumor markers was positive;DCP was elevated alone in 57/202(28.2%)of all patients,and AFP alone was elevated in 12/202(5.9%)of the patients.The areas under receiver operating characteristic curves(AUROC)for tumors>2 cm was 0.74 for DCP and 0.59 for AFP;combining both markers resulted in an AUROC of 0.73.For tumors<2 cm,the AUROC was 0.25 for DCP and 0.40 for AFP.CONCLUSION DCP,as an individual marker,had a better diagnostic performance in many cases of HCC.Hence,DCP may replace AFP as the primary HCC biomarker.

Development of a diagnostic nomogram for alpha-fetoproteinnegative hepatocellular carcinoma based on serological biomarkers

BACKGROUND Hepatocellular carcinoma(HCC)is the third leading cause of cancer-related death worldwide.Serum biomarkers play an important role in the early diagnosis and prognosis of HCC.Because a certain percentage of HCC patients are negative for alpha-fetoprotein(AFP),the diagnosis of AFP-negative HCC is essential to improve the detection rate of HCC.AIM To establish an effective model for diagnosing AFP-negative HCC based on serum tumour biomarkers.METHODS A total of 180 HCC patients were enrolled in this study.The expression levels of GP73,des-γ-carboxyprothrombin(DCP),CK18-M65,and CK18-M30 were detected by a fully automated chemiluminescence analyser.The variables were selected by logistic regression analysis.Several models were constructed using stepwise backward logistic regression.The performance of the models was compared using the C statistic,integrated discrimination improvement,net reclassification improvement,and calibration curves.The clinical utility of the nomogram was assessed using decision curve analysis(DCA).RESULTS The results showed that the expression levels of GP73,DCP,CK18-M65,and CK18-M30 were significantly greater in AFP-negative HCC patients than in healthy controls(P<0.001).Multivariate logistic regression analysis revealed that GP73,DCP,and CK18-M65 were independent factors for diagnosing AFP-negative HCC.By comparing the diagnostic performance of multiple models,we included GP73 and CK18-M65 as the model variables,and the model had good discrimination ability(area under the curve=0.946)and good goodness of fit.The DCA curves indicated the good clinical utility of the nomogram.CONCLUSION Our study identified GP73 and CK18-M65 as serum biomarkers with certain application value in the diagnosis of AFP-negative HCC.The diagnostic nomogram based on CK18-M65 combined with GP73 demonstrated good performance and effectively identified high-risk groups of patients with HCC.

Omics-based biomarkers as useful tools in metabolic dysfunctionassociated steatotic liver disease clinical practice:How far are we?

Unmet needs exist in metabolic dysfunction-associated steatotic liver disease(MASLD)risk stratification.Our ability to identify patients with MASLD with advanced fibrosis and at higher risk for adverse outcomes is still limited.Incorporating novel biomarkers could represent a meaningful improvement to current risk predictors.With this aim,omics technologies have revolutionized the process of MASLD biomarker discovery over the past decades.While the research in this field is thriving,much of the publication has been haphazard,often using single-omics data and specimen sets of convenience,with many identified candidate biomarkers but lacking clinical validation and utility.If we incorporate these biomarkers to direct patients’management,it should be considered that the roadmap for translating a newly discovered omics-based signature to an actual,analytically valid test useful in MASLD clinical practice is rigorous and,therefore,not easily accomplished.This article presents an overview of this area’s current state,the conceivable opportunities and challenges of omics-based laboratory diagnostics,and a roadmap for improving MASLD biomarker research.

Screening biomarkers for spinal cord injury using weighted gene co-expression network analysis and machine learning

Immune changes and inflammatory responses have been identified as central events in the pathological process of spinal co rd injury.They can greatly affect nerve regeneration and functional recovery.However,there is still limited understanding of the peripheral immune inflammato ry response in spinal cord inju ry.In this study.we obtained microRNA expression profiles from the peripheral blood of patients with spinal co rd injury using high-throughput sequencing.We also obtained the mRNA expression profile of spinal cord injury patients from the Gene Expression Omnibus(GEO)database(GSE151371).We identified 54 differentially expressed microRNAs and 1656 diffe rentially expressed genes using bioinformatics approaches.Functional enrichment analysis revealed that various common immune and inflammation-related signaling pathways,such as neutrophil extracellular trap formation pathway,T cell receptor signaling pathway,and nuclear factor-κB signal pathway,we re abnormally activated or inhibited in spinal cord inju ry patient samples.We applied an integrated strategy that combines weighted gene co-expression network analysis,LASSO logistic regression,and SVM-RFE algorithm and identified three biomarke rs associated with spinal cord injury:ANO10,BST1,and ZFP36L2.We verified the expression levels and diagnostic perfo rmance of these three genes in the original training dataset and clinical samples through the receiver operating characteristic curve.Quantitative polymerase chain reaction results showed that ANO20 and BST1 mRNA levels were increased and ZFP36L2 mRNA was decreased in the peripheral blood of spinal cord injury patients.We also constructed a small RNA-mRNA interaction network using Cytoscape.Additionally,we evaluated the proportion of 22 types of immune cells in the peripheral blood of spinal co rd injury patients using the CIBERSORT tool.The proportions of naive B cells,plasma cells,monocytes,and neutrophils were increased while the proportions of memory B cells,CD8^(+)T cells,resting natural killer cells,resting dendritic cells,and eosinophils were markedly decreased in spinal cord injury patients increased compared with healthy subjects,and ANO10,BST1 and ZFP26L2we re closely related to the proportion of certain immune cell types.The findings from this study provide new directions for the development of treatment strategies related to immune inflammation in spinal co rd inju ry and suggest that ANO10,BST2,and ZFP36L2 are potential biomarkers for spinal cord injury.The study was registe red in the Chinese Clinical Trial Registry(registration No.ChiCTR2200066985,December 12,2022).

Unmet needs in biomarkers for autoimmune pancreatitis diagnosis

Autoimmune pancreatitis(AIP)is a rare chronic autoimmune disorder.The diagnosis of AIP mainly depends on histopathology,imaging and response to treatment.Serum immunoglobulin 4(IgG4)is used only as collateral evidence in diagnostic criteria for AIP because of its moderate sensitivity.Serum IgG4 levels are normal in 15%-37%of type 1 AIP and most of type 2 AIP patients.In these patients,the indeterminate imaging and histopathology may lead to the difficulty in definitive diagnosis of AIP.Therefore,discovery of new biomarkers is impor-tant for AIP diagnosis.Here,we provide some views on the progression and challenges in identifying novel serological biomarkers in AIP diagnosis.