Potential Biomarkers For Diagnosis Research Articles

Circadian rhythm of brain-derived neurotrophic factor in serum and plasma.

The neurotrophic growth factor brain-derived neurotrophic factor (BDNF) plays a crucial role in various neurodegenerative and psychiatric diseases, such as Alzheimer's disease, schizophrenia and depression. BDNF has been proposed as a potential biomarker for diagnosis, prognosis and monitoring therapy. Understanding the factors influencing BDNF levels and whether they follow a circadian rhythm is essential for interpreting fluctuations in BDNF measurements. We aimed to investigate the circadian rhythm of BDNF by collecting multiple peripheral venous blood samples from young, healthy male participants at 12 different time points over 24h. In addition, vital parameters, cortisol and insulin like growth factor 1 (IGF1) were measured to explore potential regulatory mechanisms, interfering variables and their correlations with BDNF concentration. The findings revealed that plasma BDNF did not exhibit any significant fluctuations over 24h, suggesting the absence of a circadian rhythm. However, serum BDNF levels decreased during sleep. Furthermore, serum BDNF showed a positive correlation with heart rate but a negative correlation with IGF1. No significant correlation was observed between cortisol and BDNF or IGF1. Although plasma BDNF suggests steady-state conditions, the decline of serum BDNF during the nocturnal period could be attributed to physical inactivity and associated with reduced haemodynamic blood flow (heart rate reduction during sleep). The type of sample collection (peripheral venous cannula vs. blood sampling using a butterfly system) does not significantly affect the measured BDNF levels. The sample collection during the day did not significantly affect BDNF analysis, emphasizing the importance of considering activity levels rather than timing when designing standardized protocols for BDNF assessments.

Clinical analysis of 10 cases with subcutaneous panniculitis-like T-cell lymphoma and tissue AURKA expression.

Due to its rarity, subcutaneous panniculitis-like T-cell lymphoma (SPTCL) is often misdiagnosed as benign panniculitis, and there are no standardized treatment guidelines for SPTCL. Aurora kinase A (AURKA) plays a regulatory role in both mitosis and meiosis. Cells treated with an AURKA inhibitor showed severe mitotic delay, which triggered apoptosis. Ten cases of SPTCL were collected in this study, and immunohistochemistry was performed to detect AURKA expression in the skin tissues of these cases. Control groups were set as follows: 1) 10 cases of inflammatory panniculitis; 2) 9 healthy individuals. Fisher's exact test was used to compare the positive rates of AURKA among various groups. An average onset age of 27.3 years was found in 10 SPTCL cases. Clinically, these patients primarily presented with multiple subcutaneous nodules on the trunk and lower extremities, accompanied by intermittent high fever. One case showed lymph node metastasis, while no other distant organ metastasis being observed in any case. Pathologically, there was an infiltration of a large number of atypical lymphocytes within the fat lobules, characterized as a cytotoxic type. AURKA stanning was positive in 6 out of 10 SPTCL cases, while no positive cases were found in the control groups. 1) SPTCL predominantly affects young individuals and can be identified by nodular erythema on the trunk, intermittent high fever, and infiltration of atypical cytotoxic lymphocytes within fat lobules. 2) For early-stage cases without metastasis, monotherapy with glucocorticoids or immunosuppressants such as cyclosporine can be considered. 3) High expression of AURKA in SPTCL tissues suggests that AURKA could be a potential biomarker for disease diagnosis, providing a theoretical basis for further targeted therapy.

Exploring serum amino acid signatures as potential biomarkers in Hashimoto's thyroiditis patients.

Hashimoto's thyroiditis (HT) is an autoimmune disease caused by the immune system attacking healthy tissues. However, the exact pathogenesis of HT remains unclear. Metabolomic analysis was performed to obtain information about the possible pathogenic mechanisms and diagnostic biomarkers of HT. The amino acid profile was analyzed using an LC-MS/MS method using serum samples obtained from 30 patients diagnosed with ultrasonographic imaging and laboratory markers (thyroid stimulating hormone) free thyroxine and thyroid peroxidase) and 30 healthy individuals. There were statistically significant changes in 27 amino acids out of 32 amino acids analyzed (p < 0.05). Based on the receiver operating characteristic curve analysis, the six amino acid (1-methylhistidine, cystine, norvaline, histidine, glutamic acid and leucine) biomarkers showed high sensitivity, specificity (area under the curve > 0.98), positive likelihood ratio and low negative likelihood ratio. Also, according to pathway analysis, degradation of phenylalanine, tyrosine and tryptophan biosynthesis was the highest metabolic pathway according to the impact value (p < 0.001 and impact value = 1.0). We provide serum amino acid profiles of patients with Hashimoto's thyroiditis and identify five potential biomarkers for early diagnosis by clinicians.

Analysis of serum proteomic in cats with polycystic kidney disease-1 gene mutation

Feline autosomal dominant polycystic kidney disease (PKD) is common in Persian and Persian-cross cats. This study aims to investigate proteins that can be potential biomarkers for early disease diagnosis in cats with PKD1 heterozygous gene mutations and compare them with chronic kidney disease cats and normal wild-type cats. Thirty-three client-owned cats of variable breeds (ten PKD1 gene mutation cats, twelve wild-type cats with normal blood profiles, and eleven wild-type cats with chronic renal disease) were enrolled in this study. This study used serum-based proteomic profiling analysis in cats. Abdominal ultrasounds were examined in all cats. Proteomic analysis was conducted by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry and liquid chromatography-tandem mass spectrometry (LC-MS/MS). One hundred and fifty-nine proteins were significantly differentially expressed between each group. The proteins identified in this study are known to regulate the apoptosis pathway. The apoptosis regulator Bcl-2 (BCL2) was overexpressed in the chronic kidney disease (CKD) group, while apoptotic peptidase activating factor 1 (APAF1) and BCL2-associated X apoptosis regulator (BAX) were only expressed in the PKD group. Ingenuity pathway analysis revealed that proteins uniquely expressed in the PKD group were linked to the Wnt signaling pathway and MAPK pathway. Asparagine synthetase domain-containing and secreted frizzled-related proteins were interesting proteins that should be studied further for the possibility of a candidate protein for disease detection. The proteomic profiles identified in this study could be used as potential novel biomarkers for the early detection of PKD in cats.

Exosomal circ-0100519 promotes breast cancer progression via inducing M2 macrophage polarisation by USP7/NRF2 axis.

Breast cancer (BC) is one of the most prevalent malignant tumours that threatens women health worldwide. It has been reported that circular RNAs (circRNAs) play an important role in regulating tumour progression and tumour microenvironment (TME) remodelling. Differentially expression characteristics and immune correlations of circRNAs in BC were verified using high-throughput sequencing and bioinformatic analysis. Exosomes were characterised by nanoparticle transmission electron microscopy and tracking analysis. The biological function of circ-0100519 in BC development was demonstrated both in vitro and in vivo. Western blotting, RNA pull-down, RNA immunoprecipitation, flow cytometry, and luciferase reporter were conducted to investigate the underlying mechanism. Circ-0100519 was significant abundant in BC tumour tissues and related to poor prognosis. It can be encapsulated into secreted exosomes, thereby promoting BC cell invasion and metastasis via inducing M2-like macrophages polarisation.Mechanistically, circ-0100519 acted as a scaffold to enhance the interaction between the deubiquitinating enzyme ubiquitin-specific protease 7 (USP7) and nuclear factor-like 2 (NRF2) in macrophages, inducing the USP7-mediated deubiquitination of NRF2. Additionally,HIF-1α could function as an upstream effector to enhance circ-0100519 transcription. Our study revealed that exosomal circ-0100519 is a potential biomarker for BC diagnosis and prognosis, and the HIF-1α inhibitor PX-478 may provide a therapeutic target for BC.

Construction of lncRNA prognostic model related to disulfidptosis in lung adenocarcinoma

BackgroundLung cancer is one of the malignant tumors with the highest rates of morbidity and mortality worldwide. One of the most common histological types of lung cancer is lung adenocarcinoma (LUAD). Despite the fact that development in medicine has significantly improved some patients’ prognoses, the overall survival (OS) rate is still very low. In glucose-deficient SLC7A11-overexpressed cancer cells, the accumulation of disulfide molecules leads to abnormal disulfide bonding between actin cytoskeletal proteins, interferes with their tissues, and eventually leads to actin network collapse and cell death. This mode of cell death is called disulfidptosis. Studies have shown that disulfidptosis may be a new target for cancer treatment. However, the role of disulfidptosis in LUAD is still unknown. MethodsLUAD transcriptome and clinical information from The Cancer Genome Atlas (TCGA) was downloaded. The co-expression analysis, Least Absolute Shrinkage and Selection Operator (LASSO) regression, and Cox regression analysis was performed to screen the disulfidptosis-related lncRNAs (DRLs) and build the prognostic model. Kaplan-Meier curve, Cox regression analysis, and receiver operating characteristic (ROC) curve was used to validate the model. Then a nomogram is made to predict the prognosis of LUAD patients. Finally, fresh-collected clinical samples were used to verify the expression of DRLs in LUAD. ResultsThe prognostic model with six DRLs was developed to predict the prognosis of LUAD, with superior prognosis value compared to other clinical variables. The Cox regression analysis revealed that T stage, N stage and the risk score were identified as independent variables that affected LUAD prognosis. ROC curve revealed that the model has a moderate diagnostic value, with an AUC of 1-year 0.684, 3-year 0.664, and 5-year 0.588. Moreover, nine medications connected to LUAD treatment were acquired through drug sensitivity analysis. LUAD tissue validation showed that AC012073.1, AC012615.1, EMSLR, and SNHG12 were highly expressed, while AL606834.1 and AL365181.2 with low expression. ConclusionSix DRLs were screened and verified to construct the prognostic model, which can accurately predict the LUAD prognosis. It establishes a basis for further exploration into the molecular mechanisms underlying LUAD and identification of potential biomarkers for diagnosis, prognosis, and therapeutic targets.

Serum Beta-Secretase 1 Activity Is a Potential Marker for the Differential Diagnosis between Alzheimer’s Disease and Frontotemporal Dementia: A Pilot Study

Alzheimer’s disease (AD) and frontotemporal dementia (FTD) are the two major neurodegenerative diseases causing dementia. Due to similar clinical phenotypes, differential diagnosis is challenging without specific biomarkers. Beta-site Amyloid Precursor Protein cleaving enzyme 1 (BACE1) is a β-secretase pivotal in AD pathogenesis. In AD and mild cognitive impairment subjects, BACE1 activity is increased in brain/cerebrospinal fluid, and plasma levels appear to reflect those in the brain. In this study, we aim to evaluate serum BACE1 activity in FTD, since, to date, there is no evidence about its role. The serum of 30 FTD patients and 30 controls was analyzed to evaluate (i) BACE1 activity, using a fluorescent assay, and (ii) Glial Fibrillary Acid Protein (GFAP) and Neurofilament Light chain (NfL) levels, using a Simoa kit. As expected, a significant increase in GFAP and NfL levels was observed in FTD patients compared to controls. Serum BACE1 activity was not altered in FTD patients. A significant increase in serum BACE1 activity was shown in AD vs. FTD and controls. Our results support the hypothesis that serum BACE1 activity is a potential biomarker for the differential diagnosis between AD and FTD.

A large-scale study on uric acid-related biomarkers in patients with bipolar disorder

Objective: Recent research has provided strong evidence supporting the use of uric acid-related ratios as potential biomarkers for disease diagnosis. Notable ratios among these include uric acid-to-albumin ratio (UAR), uric acid-to-creatinine ratio (UCR), uric acid-to-high-density lipoprotein ratio (UHR), and uric acid-to-lymphocyte ratio (ULR). The aim of the study is to analyze these biomarkers in bipolar disorder (BD) patients. Methods: 5465 BD patients were enrolled in this study and 6629 healthy subjects served as controls. We compared differences of the above ratio indicators among different BD diagnostic groups and analyzed factors leading to the onset of BD. Results: BD-M (manic episodes of BD) group had higher ULR, UHR, UCR, UAR than HC (Heathy Controls) and BD-D (depressive episodes of BD) groups, while BD-D group showed lower ULR and UCR than HC group. P-BD-M (BD-M with psychotic symptoms) group displayed higher ULR, UHR, UCR, UAR than HC group, while even higher ULR, UHR, UAR than NP-BD-M (BD-M without psychotic symptoms) group. High UAR was risk factor in BD-M. Conclusions: Our study suggests BD-M has more intense inflammatory response than BD-D. Furthermore, there is heterogeneity in the pathogenesis of psychotic symptoms between BD-M and BD-D. Additionally, High UAR was risk factor in BD-M.

Causal effects of inflammatory cytokines on cardiovascular diseases: Insights from genetic evidence

BackgroundThe causal relationship between inflammatory cytokines and cardiovascular diseases (CVDs) has not been fully elucidated. Exploring this relationship between circulating inflammatory cytokines and CVDs is crucial for early clinical diagnosis and effective treatment. Methods and ResultsThis study investigated the causal relationships between 41 inflammatory cytokines and six CVDs: heart failure (HF), myocardial infarction (MI), unstable angina pectoris (UAP), stable angina pectoris (SAP), valvular heart disease (VHD), and aortic aneurysm (AA), using the Mendelian Randomization (MR) method. The primary analysis employed the inverse-variance weighted (IVW) method within MR. Heterogeneity and pleiotropy were assessed through MR-Egger regression and the Q statistic. Strong evidence supported the effect of macrophage inflammatory protein-1β (MIP-1β) on MI (OR = 1.062, P < 0.001, FDR <0.001). Suggestive evidence showed that the Beta nerve growth factor increased the risk of MI (OR = 1.145, P = 0.025), but the stem cell factor (SCF) demonstrated a potential protective effect against MI (OR = 0.910, P = 0.04). SCF and hepatocyte growth factor (HGF) exhibited potential protective effects against SAP. No inflammatory cytokine was associated with UAP. Monocyte chemotactic protein-1 was linked to an increased risk of VHD (OR = 1.056, P = 0.049). Higher levels of interleukin-13 (IL-13), interferon gamma-induced protein 10 (IP-10), and growth-regulated oncogene-alpha were associated with increased susceptibility to HF. Elevated basic fibroblast growth factor (bFGF) levels exhibited protective effects against AA (OR = 0.751, P = 0.038). Reverse MR analyses revealed that AA significantly decreased circulating TNF-related apoptosis-inducing ligand (TRAIL) levels (OR = 0.907, P < 0.001, FDR = 0.01). MI significantly increased circulating IL-12-p70 levels (OR = 1.146, P < 0.001, FDR = 0.014). Suggestive evidence indicated the Causal effects of six CVDs on 17 circulating inflammatory cytokines. ConclusionsThis study clarified the causal relationships between specific inflammatory cytokines and six CVDs, providing novel insights and evidence into the genetic involvement of inflammatory cytokines in CVDs. These inflammatory cytokines may be potential biomarkers for early disease diagnosis and treatment evaluation.

Systemic antibody responses against gut microbiota flagellins implicate shared and divergent immune reactivity in Crohn’s disease and chronic fatigue syndrome

BackgroundElevated systemic antibody responses against gut microbiota flagellins are observed in both Crohn’s disease (CD) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), suggesting potential serological biomarkers for diagnosis. However, flagellin-specific antibody repertoires and functional roles in the diseases remain incompletely understood. Bacterial flagellins can be categorized into three types depending on their interaction with toll-like receptor 5 (TLR5): (1) “stimulator” and (2) “silent” flagellins, which bind TLR5 through a conserved N-terminal motif, with only stimulators activating TLR5 (involving a C-terminal domain); (3) “evader” flagellins of pathogens, which entirely circumvent TLR5 activation via mutations in the N-terminal TLR5 binding motif.ResultsHere, we show that both CD and ME/CFS patients exhibit elevated antibody responses against distinct regions of flagellins compared to healthy individuals. N-terminal binding to Lachnospiraceae flagellins was comparable in both diseases, while C-terminal binding was more prevalent in CD. N-terminal antibody-bound flagellin sequences were similar across CD and ME/CFS, resembling “stimulator” and “silent” flagellins more than evaders. However, C-terminal antibody-bound flagellins showed a higher resemblance to the stimulator than to silent flagellins in CD, which was not observed in ME/CFS.ConclusionsThese findings suggest that antibody binding to the N-terminal domain of stimulator and silent flagellins may impact TLR5 activation in both CD and ME/CFS patients. Blocking this interaction could lead commensal bacteria to be recognized as pathogenic evaders, potentially contributing to dysregulation in both diseases. Furthermore, elevated antibody binding to the C-terminal domain of stimulator flagellins in CD may explain pathophysiological differences between the diseases. Overall, these results highlight the diagnostic potential of these antibody responses and lay a foundation for deeper mechanistic studies of flagellin/TLR5 interactions and their impact on innate/adaptive immunity balance.Graphical 3dk6-s1stA6fneys_e7fgXVideo

Deep cervical lymph nodes in Parkinson's disease and atypical Parkinson's disease: A potential ultrasound biomarker for differential diagnosis.

Parkinson's disease (PD) is a common degenerative disease caused by abnormal accumulation of α-synuclein. The glymphatic pathway is essential for removing macromolecular proteins including α-synuclein from the brain, which flows into deep cervical lymph nodes (DCLNs) through meningeal lymphatics. As a terminal station for the cerebral lymphatic system drainage, DCLNs can be easily assessed clinically. Although the drainage function of the cerebral lymphatic system is impaired in PD, the correlation between DCLNs and PD remains unknown. Single-center retrospective cross-sectional study. The size of the DCLNs were measured using ultrasound. The Movement Disorder Society Sponsored Revision Unified Parkinson's Disease Rating Scale and other scales were used to assess PD motor and non-motor symptoms. Compared with the healthy control (HC) and the atypical Parkinson's disease (AP) groups, the size of the second and third DCLNs in the Parkinson's disease (PD) group was significantly smaller (P < .05). The width diameter of the third DCLN (DCLN3(y)) was significantly smaller in the PD group than in the AP group (P = .014). DCLN3(y) combined with a variety of clinical features improved the sensitivity of AP identification (sensitivity = .813). DCLNs were able to distinguish HC, PD and AP and were mainly located in Robbins ΙΙA level. PD and AP were associated with different factors that influenced the size of the DCLNs. DCLN3(y) plays an important role in differentiating PD from AP, which, combined with other clinical features, has the ability to distinguish PD from AP; in particular, the sensitivity of AP diagnosis was improved.

MicroRNAs as potential biomarkers for diagnosis of post-traumatic stress disorder.

Post-traumatic stress disorder is a mental disorder caused by exposure to severe traumatic life events. Currently, there are no validated biomarkers or laboratory tests that can distinguish between trauma survivors with and without post-traumatic stress disorder. In addition, the heterogeneity of clinical presentations of post-traumatic stress disorder and the overlap of symptoms with other conditions can lead to misdiagnosis and inappropriate treatment. Evidence suggests that this condition is a multisystem disorder that affects many biological systems, raising the possibility that peripheral markers of disease may be used to diagnose post-traumatic stress disorder. We performed a PubMed search for microRNAs (miRNAs) in post-traumatic stress disorder (PTSD) that could serve as diagnostic biomarkers and found 18 original research articles on studies performed with human patients and published January 2012 to December 2023. These included four studies with whole blood, seven with peripheral blood mononuclear cells, four with plasma extracellular vesicles/exosomes, and one with serum exosomes. One of these studies had also used whole plasma. Two studies were excluded as they did not involve microRNA biomarkers. Most of the studies had collected samples from adult male Veterans who had returned from deployment and been exposed to combat, and only two were from recently traumatized adult subjects. In measuring miRNA expression levels, many of the studies had used microarray miRNA analysis, miRNA Seq analysis, or NanoString panels. Only six studies had used real time polymerase chain reaction assay to determine/validate miRNA expression in PTSD subjects compared to controls. The miRNAs that were found/validated in these studies may be considered as potential candidate biomarkers for PTSD and include miR-3130-5p in whole blood; miR-193a-5p, -7113-5p, -125a, -181c, -671-5p in peripheral blood mononuclear cells; miR-10b-5p, -203a-3p, -4488, -502-3p, -874-3p, -5100, -7641 in plasma extracellular vesicles/exosomes; and miR-18a-3p, -7-1-5p in blood plasma. Several important limitations identified in the studies need to be taken into account in future studies. Further studies are warranted with war veterans and recently traumatized children, adolescents, and adults having PTSD and use of animal models subjected to various stressors and the effects of suppressing or overexpressing specific microRNAs.

Alanine, a potential amino acid biomarker of pediatric sepsis: a pilot study in PICU

Sepsis is characterized by a metabolic disorder of amino acid occurs in the early stage; however, the profile of serum amino acids and their alterations associated with the onset of sepsis remain unclear. Thus, our objective is to identify the specific kinds of amino acids as diagnostic biomarkers in pediatric patients with sepsis. Serum samples were collected from patients with sepsis admitted to the pediatric intensive care unit (PICU) between January 2019 and December 2019 on the 1st, 3rd and 7th day following admission. Demographic and laboratory variables were also retrieved from the medical records specified times. Serum amino acid concentrations were detected by UPLC-MS/MS system. PLS-DA (VIP > 1.0) and Kruskal-Wallis test (p < 0.05) were employed to identify potential biomarkers. Spearman’s rank correlation analysis was conducted to find the potential association between amino acid levels and clinical features. The diagnostic utility for pediatric sepsis was assessed using receiver operating characteristic (ROC) curve analysis. Most of amino acid contents in serum were significantly decreased in patients with sepsis, but approached normal levels by the seventh day post-diagnosis. Threonine (THR), lysine (LYS), valine (VAL) and alanine (ALA) emerged as potential biomarkers related for sepsis occurrence, though they were not associated with PELOD/PELOD-2 scores. Moreover, alterations in serum THR, LYS and ALA were linked to complications of brain injury, and serum ALA levels were also related to sepsis-associated acute kidney injury. Further analysis revealed that ALA was significantly correlated with the Glasgow score, serum lactate and glucose levels, C-reactive protein (CRP), and other indicators for liver or kidney dysfunction. Notably, the area under the ROC curve (AUC) for ALA in distinguishing sepsis from healthy controls was 0.977 (95% CI: 0.925-1.000). The serum amino acid profile of children with sepsis is significantly altered compared to that of healthy controls. Notably, ALA shows promise as a potential biomarker for the early diagnosis in septic children.

Over-expression of KRT17 and MDK genes at mRNA levels in urine-exfoliated cells is associated with early non-invasive diagnosis of non-muscle-invasive bladder cancer

IntroductionCurrent diagnostic approaches for bladder cancer (BLCA) are often invasive or lack the required sensitivity and specificity. This underscores the need for an early non-invasive diagnostic test for BLCA. This work aimed to explore the potential of molecular markers in urine-exfoliated cells for the diagnosis of non-muscle-invasive bladder cancer (NMIBC). Materials and methodsUrine specimens (n = 140) were collected from NMIBC patients (n = 68) and control subjects (31 healthy volunteers and 41 non-cancer patients with common urological diseases [CUD]. Total RNA was extracted from the cells isolated from urine specimens. mRNA expression of selected genes: CDC20, KRT15, FOXM1, CXCR2, UPK1B, MDK, KRT20, and KRT17 was determined using RT-qPCR. The receiver operating characteristic (ROC) curve was then plotted to obtain the area under the curve (AUC), specificity, and sensitivity of the urinary mRNA markers. ResultsThe expression of CDC20, MDK, UPK1B, FOXM1, KRT17, and KRT20 was up-regulated in samples obtained from low- and high-grade pathological grades of NMIBC compared to that measured in healthy subjects. Notably, MDK and KRT17 mRNA levels in the low- and high-grade cases were substantially higher than in normal and CUD groups. The AUC of the KRT17 and MDK combination in diagnosing NMIBC was 0.92, surpassing that of single genes. The sensitivity and specificity of the KRT17 and MDK combination were 74% and 94%, respectively. In diagnosing low-grade from healthy and CUD groups, analysis of the KRT17 and MDK combination yielded AUCs of 0.94 and 0.95, respectively, with sensitivities of 85% and 97%, and specificities of 93% and 85%. ConclusionThe findings of this study revealed that KRT17 and MDK together are potential urine-based biomarkers for early diagnosis of NMIBC.

Circular RNAs as potential biomarkers for male severe sepsis.

Circular RNAs (circRNAs) play important roles in many human diseases. However, their role in the development of severe sepsis, a condition that remains one of the main causes of death in intensive care units, has not yet been defined. In this study, we interrogated the molecular mechanisms of circRNAs in severe sepsis. We profiled the expression levels of 5,680 circRNAs in plasma extracted from blood samples of 9 severe sepsis cases or 9 controls (male, age 78 ± 7) using the Human circRNA Array. To enrich protein-coding genes hosting severe sepsis-related circRNAs, we conducted gene ontology and pathways analyses. Out of the identified 760 differentially expressed circRNAs, 404 were upregulated while 356 were downregulated (fold change [FC] ≥2 or ≤-2, and false discovery ratio <0.05). Circ-0008285 (located in exons of CDYL), showed significant upregulation in severe sepsis with an FC of 13.7, and Bonferroni-corrected P < 0.05/5. In silico analysis identified Circ-0008285 interacting microRNAs as well as protein-coding genes. We systematically investigated the differential expression pattern of circRNAs in severe sepsis. The circRNAs we identified might serve as potential biomarkers for diagnosis and prognosis of sepsis.

DNA Methylation in Autism Spectrum Disorders: Biomarker or Pharmacological Target?

Autism spectrum disorder (ASD) is a group of heterogeneous neurodevelopmental disabilities with persistent impairments in cognition, communication, and social behavior. Although environmental factors play a role in ASD etiopathogenesis, a growing body of evidence indicates that ASD is highly inherited. In the last two decades, the dramatic rise in the prevalence of ASD has interested researchers to explore the etiologic role of epigenetic marking and incredibly abnormal DNA methylation. This review aimed to explain the current understanding of the association between changes in DNA methylation signatures and ASD in patients or animal models. We reviewed studies reporting alterations in DNA methylation at specific genes as well as epigenome-wide association studies (EWASs). Finally, we hypothesized that specific changes in DNA methylation patterns could be considered a potential biomarker for ASD diagnosis and prognosis and even a target for pharmacological intervention.

A novel long noncoding RNA ENST00000597482 serves as a potential biomarker for disease activity and diagnosis of systemic lupus erythematosus.

Emerging evidence indicate that long noncoding RNAs (lncRNAs) may play an important role in the pathogenesis of systemic lupus erythematosus (SLE) however, the contribution of lncRNAs to SLE remains largely unclear. Our study aimed to explore the lncRNA expression profiles in peripheral blood mononuclear cells (PBMCs) from SLE patients. LncRNA sequencing was used to detect differentially expressed genes in PBMCs from 5 SLE-MIX samples and 3 healthy controls (HC)-MIX samples, and the expression of selected lncRNAs was further verified by real-time quantitative polymerase chain reaction (RT‒qPCR). The correlation of lncRNA expression with laboratory indicators as well the SLE disease activity index 2000 (SLEDAI‒2K) score from 72 SLE patients was assessed by Spearman's test. The association between lncRNA ENST00000597482 and organ involvement in SLE patients was determined by the Mann‒Whitney U test. Moreover, lymphocyte subsets in peripheral blood from SLE patients were measured by flow cytometry. In addition, the diagnostic value of lncRNAs in predicting SLE was evaluated by receiver operating characteristic (ROC) curve analysis. The lncRNA expression profiles demonstrated 218 differentially expressed lncRNAs, including 121 upregulated genes and 97 downregulated genes, in PBMCs from SLE patients compared to HCs. Among the 10 candidate genes selected, only lncRNA ENST00000597482, which was lower in SLE PBMCs than in HCs, was consistent with the sequencing results. LncRNA ENST00000597482 expression was negatively correlated with SLEDAI-2K score and the titres of ANA antibodies and anti-double-stranded DNA (anti-dsDNA) antibodies. Of note, SLE patients with lower expression of lncRNA ENST00000597482 were prone to develop organ involvement. Furthermore, lncRNA ENST00000597482 exhibited potential diagnostic value in differentiating SLE patients from HCs. LncRNA ENST00000597482 expression was lower in PBMCs from SLE patients than HCs and was negatively correlated with the SLEDAI-2K score and autoantibody titres. In addition, lncRNA ENST00000597482 could act as a novel biomarker for disease activity and diagnosis of SLE.

Dysregulation of amino acids balance as potential serum-metabolite biomarkers for diagnosis and prognosis of diabetic retinopathy: a metabolomics study

Dysregulation of amino acids balance as potential serum-metabolite biomarkers for diagnosis and prognosis of diabetic retinopathy: a metabolomics study

Identification of hub genes associated with pyroptosis in diabetic nephropathy patients using integrated bioinformatic analysis.

To investigate the role of pyroptosis in diabetic nephropathy (DN) and identify potential biomarkers for diagnosis. We analyzed the GEO dataset GSE96804 to identify differentially expressed genes (DEGs) related to pyroptosis in DN. The CIBERSORT method was used to assess M1 macrophage infiltration in the samples. Using weighted gene co-expression network analysis (WGCNA), we identified gene modules associated with M1 macrophages. The least absolute shrinkage and selection operator (LASSO) method was then applied to screen for key genes. The intersection of key genes identified by LASSO and the gene modules obtained from WGCNA resulted in the identification of ten hub genes as potential biomarkers for DN. A total of 366 DEGs were identified, with 310 genes associated with pyroptosis. Increased M1 macrophage infiltration was observed in DN patients. Ten hub genes were identified as potential DN biomarkers: ECM1, LRP2BP, ALKBH7, CDH10, DUSP1, HSPA1A, LPL, NFIL3, PDK4, and TMEM150C. This study highlights the importance of pyroptosis in DN pathophysiology and identifies 10 hub genes as potential biomarkers. These findings may contribute to improved diagnosis and treatment of DN.

Casual effects of telomere length on sarcoidosis: a bidirectional Mendelian randomization analysis.

Telomere length, crucial for genomic stability, have been implicated in various inflamm-aging diseases, but their role in sarcoidosis remains unexplored. This study aims to explore the casual effects between TL and sarcoidosis via a bidirectional Mendelian Randomization (MR) study. We examined single nucleotide polymorphisms (SNPs) associated with TL and sarcoidosis, utilizing available open-access genome-wide association study (GWAS) databases from the UK Biobank and FinnGen. We employed five MR techniques, including Inverse Variance Weighted (IVW), MR Egger, weighted median (WM), Robust adjusted profile score (RAPS), and Maximum likelihood, to assess causal relationships and explore pleiotropy. Summary data extracted from GWAS datasets of TL (n = 472,174) and (n = 217,758) of European ancestry. Employing 130 SNPs with genome-wide significance as instrumental factors for TL, we detect a significant negative correlation between TL and sarcoidosis (OR: 0.682, 95% confidence interval: 0.524-0.888, 0.0045). Similarly, utilizing 6 SNPs with genome-wide significance as instrumental factors for sarcoidosis, we fail to identify a noteworthy association between sarcoidosis and TL (OR: 0.992, 95% confidence interval: 0.979-1.005, : 0.2424). Our results suggest that longer telomeres may reduce the risk of sarcoidosis, highlighting TL as a potential biomarker for diagnosis and long-term monitoring. Understanding the critical role of telomere shortening enables more effective focus on diagnosing, treating, and curing sarcoidosis linked to telomeres. Clinical investigations into treatments that enhance TL are warranted.