Serum Samples Of Patients Research Articles

Sulfated Bile Acids in Serum as Potential Biomarkers of Disease Severity and Mortality in COVID-19.

The fight against coronavirus disease 2019 (COVID-19) continues. Since the pandemic's onset, several biomarkers have been proposed to assess the diagnosis and prognosis of this disease. This research aimed to identify potential disease severity biomarkers in serum samples of patients with COVID-19 during the disease course. Data were collected using untargeted and targeted mass spectrometry methods. The results were interpreted by performing univariate and multivariate analyses. Important metabolite classes were identified by qualitative untargeted metabolomics in 15 serum samples from survivors of COVID-19. Quantitative targeted metabolomics on a larger patient cohort including 15 non-survivors confirmed serum 3-sulfate bile acids (i.e. GLCA-3S) were significantly increased in non-survivors compared to survivors during the early disease stage (p-value < 0.0001). Notably, it was associated with a higher risk of mortality (odds ratio of 26). A principal component analysis showed the ability to discriminate between survivors and non-survivors using the BA concentrations. Furthermore, increased BA-S is highly correlated with known parameters altered in severe clinical conditions.

Serum microRNA-146a-5p and microRNA-221-3p as potential clinical biomarkers for papillary thyroid carcinoma

Abstract Purpose Papillary thyroid carcinoma (PTC) is the most common malignant thyroid neoplasm, accounting for approximately 85% of all follicular cell-derived thyroid nodules. This study aimed to assess the diagnostic potential of circulating microRNA-146a-5p and microRNA-221-3p as biomarkers for PTC and their usefulness in monitoring disease progression during patient follow-up. Methods An observational study was conducted on two cohorts of PTC patients and healthy controls (HCs) using digital PCR. We collected patients’ clinical, biochemical, and imaging data during the post-surgery surveillance. We analyzed the levels of circulating miRNAs in serum samples of patients before surgery and during the follow-up, including those with indeterminate/biochemical incomplete response (IndR/BIR) and residual thyroid tissues (Thy Residue). Results Both miR-146a-5p and miR-221-3p were confirmed as effective biomarkers for PTC diagnosis. They enabled differentiation between pre-surgery PTC patients and HCs with an area under the curve (AUC) of 92% and 87.3%, respectively, using a threshold level of 768,545 copies/uL for miR-146a-5p and 389,331 copies/uL for miR-221-3p. It was found that miRNA fold change levels, rather than absolute levels, can be useful during patient follow-up. In particular, we found that a fold change of 2 for miR-146a-5p and 2.2 for miR-221-3p can identify a progressive disease, regardless of the presence of TgAbs or remnant thyroid. Conclusion MiRNA-146a-5p and miRNA-221-3p, particularly the former, could be valuable diagnostic biomarkers for PTCs. They also seem to be effective in monitoring disease progression during patient follow-up by evaluating their fold change, even when thyroglobulin is uninformative.

Autoantibody mediated deficiency of IL-36-receptor antagonist in a subset of patients with psoriasis and psoriatic arthritis

ObjectivePsoriatic arthritis (PsA) is known as a seronegative form of spondylarthropathy. The interleukin-36 cytokine family may have a major role in disease pathogenesis and particularly the related cutaneous manifestations. In light of our recent observations on (transient) autoantibody phenotypes neutralizing endogenous anti-inflammatory receptor antagonists (progranulin, IL-1Ra) in different inflammatory conditions, we set out to investigate the potential role of such antibodies targeting IL-36 cytokine family members in PsA and psoriasis without arthritic manifestations (Pso). MethodsIn the present study we screened for hypothetic autoantibodies against the anti-inflammatory mediators IL-36 receptor antagonist (IL-36Ra) and anti-inflammatory IL-38 in PsA, Pso and inflammatory and healthy controls. Serum samples of patients with PsA (n = 254), Pso (n = 100), systemic lupus erythematosus (SLE, n = 50), rheumatoid arthritis (RA, n = 100), ulcerative colitis (UC, n = 50), Crohn´s disease (CD, n = 50), and healthy controls (n = 237) were screened for autoantibodies against IL-36Ra and IL-38 as well as IL-36Ra levels by ELISA. Biochemical analysis for immune complexes and atypic protein isoforms as well as IL-36 signaling reporter assays were performed. ResultsAnti-IL-36Ra antibodies were detected in five out of 100 (5.0 %) patients with Pso, in 12 of 254 (4.72 %) patients with PsA and in one of 50 (2 %) patients with CD, but in none of the other investigated inflammatory or healthy controls. The IL-36Ra autoantibodies belonged to the IgG1 subclass and their titers ranged between 1:200 to 1:1600. They resulted in immune-complex formation, depletion of serum IL-36Ra levels and were functional in terms of facilitating unrestricted IL-36 signaling. ConclusionIL-36Ra autoantibodies were found in subgroups of patients with Pso and PsA and may drive respective pathology.

Cytomegalovirus immune responses are associated with lower serum NfL and disability accumulation risk at multiple sclerosis onset

Background: Infection by cytomegalovirus (HCMV) and Epstein–Barr virus (EBV) play a prognostic role in multiple sclerosis (MS). Objectives: To explore whether humoral immune responses to HCMV and EBV at disease onset were associated with changes in serum and cerebrospinal fluid (CSF) levels of inflammatory and neurodegeneration biomarkers. Methods: Ninety-eight MS patients with a median follow-up of 20 years were included in the study. The levels of a panel of nine biomarkers were measured in serum (N = 60) and CSF (N = 61) samples of patients at the time of the first demyelinating event. Results: Immune responses to HCMV inversely correlated with serum neurofilament light chain (sNfL) levels (rho = −0.367; p = 0.039). sNfL levels were reduced in patients with high immune responses to HCMV (p = 0.006). Elevated sNfL levels were associated with higher risk of Expanded Disability Status Scale (EDSS) 3.0 (p = 0.016), 4.0 (p = 0.009) and 6.0 (p = 0.003), and with higher risk of developing secondary progressive MS (p = 0.003) and to receive treatment (p = 0.032). Serum soluble CD21 levels were increased in patients with high immune responses to EBV nuclear antigen 1 (p = 0.020). Conclusions: High immune responses to HCMV are associated with limited disease progression and central nervous system (CNS) injury in MS patients. These findings reinforce the protective role of HCMV infection in MS.

Half‐Curcumin‐Based Chemiluminescence Probes and Their Applications in Detecting Quasi‐Stable Oxidized Proteins

AbstractNumerous methods have been reported for detecting ROS/RNS in vitro and in vivo; however, detecting methods for the secondary products of the reactive oxygen species (ROS)/reactive nitrogen species (RNS) reactions, particularly quasi‐stable oxidized products, have been much less explored. In this report, we observed that half‐curcumins could generate chemiluminescence (CL). In contrast to other chemiluminescence scaffolds, the distinguishing feature of a half‐curcumin is the formation of a carbanion intermediate of its acetylacetone moiety, opening unique avenues for applications. In this study, we designed a series of half‐curcumins CRANAD‐Xs and found that CRANAD‐164 could be used to detect quasi‐stable oxidized proteins (QSOP) in vivo and in patient serum samples. We illustrated that CRANAD‐164 could be used to monitor the responses of taurine, an amino acid with newly reported anti‐aging capacity, in an inflammatory mouse model. Remarkably, we further demonstrated that the QSOP levels were much higher in the disease serum samples, including Alzheimer's disease (AD), compared to the samples from healthy controls. Moreover, our results revealed that the sera chemiluminescence intensities were higher in aged healthy controls compared to young healthy subjects, suggesting that CRANAD‐164 can be used to monitor the increase of QSOP during aging.

Half-Curcumin-Based Chemiluminescence Probes and Their Applications in Detecting Quasi-Stable Oxidized Proteins.

Numerous methods have been reported for detecting ROS/RNS in vitro and in vivo; however, detecting methods for the secondary products of the reactive oxygen species (ROS)/reactive nitrogen species (RNS) reactions, particularly quasi-stable oxidized products, have been much less explored. In this report, we observed that half-curcumins could generate chemiluminescence (CL). In contrast to other chemiluminescence scaffolds, the distinguishing feature of a half-curcumin is the formation of a carbanion intermediate of its acetylacetone moiety, opening unique avenues for applications. In this study, we designed a series of half-curcumins CRANAD-Xs and found that CRANAD-164 could be used to detect quasi-stable oxidized proteins (QSOP) in vivo and in patient serum samples. We illustrated that CRANAD-164 could be used to monitor the responses of taurine, an amino acid with newly reported anti-aging capacity, in an inflammatory mouse model. Remarkably, we further demonstrated that the QSOP levels were much higher in the disease serum samples, including Alzheimer's disease (AD), compared to the samples from healthy controls. Moreover, our results revealed that the sera chemiluminescence intensities were higher in aged healthy controls compared to young healthy subjects, suggesting that CRANAD-164 can be used to monitor the increase of QSOP during aging.

TiRNA-Gly-GCC-002 is associated with progression in patients with hepatocellular carcinoma.

The transfer RNA (tRNA)-derived fragments, generated by the cleavage of mature and pre-tRNAs, play a vital role in the tumorigenesis and progression of hepatocellular carcinoma (HCC). However, the relationship between tRNA-derived fragments and the prognosis of patients with HCC has not been thoroughly studied. This study aims to discuss the relationship between tiRNA-Gly-GCC-002 and the prognosis of HCC patients and its role in guiding HCC treatment. In this study, the differently expressed tRNA-derived fragments were screened out from the tumor tissues and paracancerous tissues. These tRNA-derived fragments were validated in the tissues and serum samples of patients with HCC by quantitative real-time polymerase chain reaction (qRT-PCR). The target genes of the tRNA-derived fragments were predicted with the microRNA target prediction database (miRDB), which was proceeded with gene set enrichment analysis (GSEA). After that, we analyzed the prognostic effect of the tRNA-derived fragment in relapse-free survival (RFS). Based on univariate and multivariate Cox regression analysis, independent prognostic factors for RFS were obtained. In addition, a column chart was constructed based on clinical pathological features and tiRNAGly-GCC-002. The tiRNA-Gly-GCC-002 was ultimately served as the candidate gene. Function analysis indicated that tiRNA-Gly-GCC-002 was primarily involved in adenyl nucleotide binding, cell cycle, cell cycle process and chromosome organization. We found that patients with high expression level of tiRNA-Gly-GCC-002 had worse prognosis than low expression level. The univariable and multivariable Cox regression analyses showed that tiRNAGly-GCC-002 was an important prognostic factor. Furthermore, the nomogram by combining tiRNA-Gly-GCC-002 expression level (P=0.03) and serum gamma-glutamyl transferase (GGT) level (P=0.001) was established to predict the prognosis of patients with HCC [concordance index (C-index): 0.789]. In summary, the tiRNA-Gly-GCC-002 can predict the outcome of patients with HCC, which may play a vital role in directing the treatment of HCC.

Quantifying non-transferrin-bound iron (NTBI) in human plasma: incorporating BODIPY-pyridylhydrazone (BODIPY-PH) within a thin green film linked to a portable fluorescence-based device.

Free iron in human serum or non-transferrin-bound iron (NTBI) can generate free radicals and lead to oxidative damage. Moreover, it is highly toxic to various tissues and a vital biomarker related to the iron-loading status of thalassemia and Alzheimer's patients. In NTBI in healthy individuals, NTBI levels are typically less than 1µM; current NTBI analysis usually requires advanced instrumentation and many-step sample pretreatment. To address this issue, we employed our invented BODIPY derivative, BODIPY-PH, as a fluorescence probe and trapped it onto the microcentrifuge tube lid using tapioca starch. The fluorescence intensity of BODIPY-PH increased with increasing NTBI concentration (turn-on). The developed portable reaction chamber facilitates rapid analysis (∼5min) using small sample volumes (10 μL sample in a total volume of 600 μL). Under optimum conditions, using the sample-developed portable fluorescence device and fluorescence spectrometer, we achieved impressive limits of detection (LOD) of 0.003 and 0.0015μM, respectively. Furthermore, the developed sensors show relatively high selectivity toward Fe3+ over other metal ions and biomolecules (i.e., Fe2+, Cr3+, Cu2+, and glucose). The sensor performance in serum samples of thalassemia patients exhibited no significant difference compared to the labeled value (obtained from standard methods). Overall, the developed fluorescence sensor is suitable for determining NTBI and offers high sensitivity, high selectivity, and a short incubation time (5min). Moreover, the method requires a limited number of reagents, is simple to use, and uses low-cost equipment to determine NTBI in human serum samples.

The trajectory of vesicular proteomic signatures from HBV-HCC by chitosan-magnetic bead-based separation and DIA-proteomic analysis.

Hepatocellular carcinoma (HCC) is a prevalent primary liver cancer often associated with chronic hepatitis B virus infection (CHB) and liver cirrhosis (LC), underscoring the critical need for biomarker discovery to improve patient outcomes. Emerging as a promising avenue for biomarker development, proteomic technology leveraging liquid biopsy from small extracellular vesicles (sEV) offers new insights. Here, we evaluated various methods for sEV isolation and identified polysaccharide chitosan (CS) as an optimal approach. Subsequently, we employed optimized CS-based magnetic beads (Mag-CS) for sEV separation from serum samples of healthy controls, CHB, LC, and HBV-HCC patients. Leveraging data-independent acquisition mass spectrometry coupled with machine learning, we uncovered potential vesicular protein biomarker signatures (KNG1, F11, KLKB1, CAPNS1, CDH1, CPN2, NME2) capable of distinguishing HBV-HCC from CHB, LC, and non-HCC conditions. Collectively, our findings highlight the utility of Mag-CS-based sEV isolation for identifying early detection biomarkers in HBV-HCC.

Integrative multi-omics characterization of hepatocellular carcinoma in hispanic patients.

The incidence and mortality rates of hepatocellular carcinoma (HCC) among Hispanic individuals in the United States are much higher than in non-Hispanic white people. We conducted multi-omics analyses to elucidate molecular alterations in HCC among Hispanic patients. Paired tumor and adjacent non-tumor samples were collected from 31 Hispanic HCCs in South Texas (STX-Hispanic) for genomic, transcriptomic, proteomic, and metabolomic profiling. Serum lipids were profiled in 40 Hispanic and non-Hispanic patients with or without clinically diagnosed HCC. Exome sequencing revealed high mutation frequencies of AXIN2 and CTNNB1 in STX Hispanic HCCs, suggesting a predominant activation of the Wnt/β-catenin pathway. TERT promoter mutations were also significantly more frequent in the Hispanic cohort (Fisher's exact test, p < .05). Cell cycles and liver function were positively and negatively enriched, respectively, with gene set enrichment analysis. Gene sets representing specific liver metabolic pathways were associated with dysregulation of corresponding metabolites. Negative enrichment of liver adipogenesis and lipid metabolism corroborated with a significant reduction in most lipids in serum samples of HCC patients (paired t-test, p < .0001). Two HCC subtypes from our Hispanic cohort were identified and validated with the TCGA liver cancer cohort. Patients with better overall survival showed higher activity of immune and angiogenesis signatures, and lower activity of liver function-related gene signatures. They also had higher levels of immune checkpoint and immune exhaustion markers. Our study revealed specific molecular features of Hispanic HCC and potential biomarkers for therapeutic management. It provides a unique resource for studying Hispanic HCC.

Ultradense Array of On-Chip Sensors for High-Throughput Electrochemical Analyses.

High-throughput sensors are valuable tools for enabling massive, fast, and accurate diagnostics. To yield this type of electrochemical device in a simple and low-cost way, high-density arrays of vertical gold thin-film microelectrode-based sensors are demonstrated, leading to the rapid and serial interrogation of dozens of samples (10 μL droplets). Based on 16 working ultramicroelectrodes (UMEs) and 3 quasi-reference electrodes (QREs), a total of 48 sensors were engineered in a 3D crossbar arrangement that devised a low number of conductive lines. By exploiting this design, a compact chip (75 × 35 mm) can enable performing 16 sequential analyses without intersensor interferences by dropping one sample per UME finger. In practice, the electrical connection to the sensors was achieved by simply switching the contact among WE adjacent fingers. Importantly, a short analysis time was ensured by interrogating the UMEs with chronoamperometry or square wave voltammetry using a low-cost and hand-held one-channel potentiostat. As a proof of concept, the detection of Staphylococcus aureus in 15 samples was performed within 14 min (20 min incubation and 225 s reading). Additionally, the implementation of peptide-tethered immunosensors in these chips allowed the screening of COVID-19 from patient serum samples with 100% accuracy. Our experiments also revealed that dispensing additional droplets on the array (in certain patterns) results in the overestimation of the faradaic current signals, a phenomenon referred to as crosstalk. To address this interference, a set of analyses was conducted to design a corrective strategy that boosted the testing capacity by allowing using all on-chip sensors to address subsequent analyses (i.e., 48 samples simultaneously dispensed on the chip). This strategy only required grounding the unused rows of QRE and can be broadly adopted to develop high-throughput UME-based sensors. In practice, we could analyze 48 droplets (with [Fe(CN)6]4-) within ∼8 min using amperometry.

Alterations in serum metabolomics during the first seizure and after effective control of epilepsy

The existing diagnostic methods of epilepsy have great limitations, and more reliable and less difficult diagnostic methods are needed. We collected serum samples of adult patients with first-diagnosed epilepsy (EPs) and seizure control patients (EPRs) for non-targeted metabolomics detection and found that they were both significantly altered, with increased expression of nicotine addiction, linoleic acid metabolism, purine metabolism, and other metabolic pathways. The diagnostic model based on 4 differential metabolites achieved a diagnostic efficiency of 99.4% in the training cohort and 100% in the validation cohort. In addition, the association analysis of oral flora, serum metabolism, and clinical indicators also provided a new angle to analyze the mechanism of epilepsy. In conclusion, this study characterized the serum metabolic characteristics of EPs and EPRs and the changes before and after epilepsy control based on a large cohort, demonstrating the potential of metabolites as non-invasive diagnostic tools for epilepsy.

Placental expressions of Anti-Mullerian hormone/Receptor, vascular endothelial growth factor and related microRNAs in patients with preeclampsia: a case control study

ABSTRACT Anti-Mullerian hormone (AMH) has been implicated in the pathogenesis of preeclampsia. The present study was primarily designed to determine the placental tissue AMH, Anti-Mullerian hormone Receptor II (AMHRII), vascular endothelial growth factor (VEGF) and microRNA (miRNA) 26a/126/155/210 expressions and serum miRNA 26a/126/155/210 levels in patients with preeclampsia to examine their potential role in the pathogenesis of preeclampsia. Placental tissue samples from patients with preeclampsia (n = 20) and control subjects (n = 20) were examined by immunohistochemical staining and quantitative polymerase chain reaction (qPCR) for AMH, AMHRII, VEGF mRNA expression levels and miRNA 26a/126/155/210 expressions. Serum levels of miRNA 26a/126/155/210 were measured by qPCR. Patients with preeclampsia had lower AMH/AMHRII immunostaining, particularly in syncytiotrophoblastic cells compared to control subjects (p < 0.05). The relative mRNA expressions of AMH/AMHRII were increased (1.535 ± 0.121 and 1.155 ± 0.049 fold, p < 0.0002 and p < 0.033, respectively) and the relative mRNA expression of VEGF was decreased (4.878 ± 0.331 fold, p < 0.0002) in patients with preeclampsia compared to control subjects. The miR-26a expression was increased and miR-126 expression was decreased in serum samples of patients with preeclampsia compared to control subjects (p < 0.0002). miR-155 and miR-210 expressions were increased in serum and placental tissue samples of patients with preeclampsia compared to control subjects (p < 0.0002). In conclusion, reduced placental tissue immunostaining of AMH/AMHRII along with increased AMH/AMHRII mRNA expressions may indicate posttranscriptional dysregulation. Robust increase in expressions of hypoxia/inflammation-related miRNAs particularly miR-155 and miR-210 might have a role in this mechanistic pathway. Increased serum levels of miR 26a, 155 and 210 are potential early diagnostic markers for preeclampsia.

Ascites and Serum Interleukin-10 Levels as a Prognostic Tool for Ovarian Cancer Outcomes.

Interleukin-10 (IL-10) has been shown to be present at high levels in the ascites of ovarian cancer (OC) patients; however, little is known about its prognostic value. We sought to correlate IL-10 levels in ascites and sera of OC patients with clinicopathologic characteristics and oncologic outcomes. IL-10 levels and clinical data from biobanked ascites and serum samples of OC patients were evaluated. Receiver operating characteristic curves were used to quantify marker performance and identify IL-10-high and IL-10-low groups. Correlations between IL-10 levels and clinicopathologic data were performed. Survival outcomes were calculated, while the factors affecting them were also investigated. A total of 106 patients had ascites samples, of which 44 serum samples were also available. Mean ascites IL-10 levels were significantly higher in patients with serous histology compared to endometrioid histology (p = 0.024). Fold-change in ascites IL-10 during treatment positively correlated with clinical response, as determined by a change in serum cancer antigen (CA)-125 levels (p = 0.0126). Median progression-free survival (PFS) and overall survival (OS) were shorter in patients with high compared with low ascites IL-10 levels (PFS: 18 versus 60 months; p = 0.007, OS: 42 versus 85 months; p = 0.029). A significant positive correlation was seen between ascites and sera IL-10 levels (p = 0.019). In multivariable analyses, a high ascites IL-10 level was associated with a significantly worse prognosis (PFS hazard ratio (HR) = 1.93; p = 0.02). Patients with high ascites levels of IL-10 have worse outcomes, which are likely reflective of the immunosuppressive effect of IL-10. This highlights its potential role as an immunomodulator in the tumor microenvironment, leading to OC immune evasion.

Electroactive Molecularly Imprinted Polymer Nanoparticles (eMIPs) for Label-free Detection of Glucose: Toward Wearable Monitoring.

The diagnosis of diabetes mellitus (DM) affecting 537 million adults worldwiderelies on invasive and costly enzymatic methods that have limited stability. Electroactive polypyrrole (PPy)-based molecularly imprinted polymer nanoparticles (eMIPs) have been developed that rival the affinity of enzymes whilst being low-cost, highly robust, and facile to produce. By drop-casting eMIPs onto low-cost disposable screen-printed electrodes (SPEs), sensors have been manufactured that can electrochemically detect glucose in a wide dynamic range (1 µm-10mm) with a limit of detection (LOD) of 26nm. The eMIPs sensors exhibit no cross reactivity to similar compoundsand negligible glucose binding tonon-imprinted polymeric nanoparticles (eNIPs). Measurements of serum samples of diabetic patients demonstrate excellent correlation (>0.93) between these eMIPs sensor and the current gold standard Roche blood analyzer test. Finally, the eMIPs sensors are highly durable and reproducible (storage >12 months), showcasing excellent robustness and thermal and chemical stability. Proof-of-application is provided via measuring glucose using these eMIPs sensor in a two-electrode configurationin spiked artificial interstitial fluid (AISF), highlighting its potential for non-invasive wearable monitoring. Due to the versatility of the eMIPs that can be adapted to virtually any target, this platform technology holds high promise for sustainable healthcare applications via providing rapid detection, low-cost, and inherent robustness.

Chondrocyte Response to Fresh Autologous Conditioned Serum Versus Freeze-Dried Allogenic Conditioned Serum.

To investigate the cytokine release profile and histological response of human cartilage after exposure to autologous conditioned serum (ACS) and freeze-dried allogenic conditioned serum (FD-CS). Cartilage explants were collected from 6 patients undergoing total knee arthroplasty. ACS and FD-CS were created from patient serum samples. Cartilage samples were divided into 6 groups: (1) untreated control, (2) ACS, (3) FD-CS, (4) untreated interleukin (IL)-1β (5 ng/ml), (5) IL-1β + ACS, and (6) IL-1β + FD-CS. After 12 days, cartilage samples were analyzed with glycosaminoglycan (GAG) concentration normalized to wet weight while comparing cytokine concentrations, and histological scoring. There was a significant decrease in pathology scoring for ACS (P = 0.0368) and FD-CS (P = 0.0368) in the IL-1β injury groups compared with the untreated IL-1β insult group. ACS and FD-CS significantly mitigate the IL-1β induced increase in basic fibroblast growth factor (bFGF) (P = 0.0009 and P = 0.0002, respectively). FD-CS showed a significant decrease in IL-1β concentration in the presence of IL-1β insult compared with the untreated IL-1β group (P < 0.0001). ACS-treated samples had significantly higher concentration of tumor necrosis factor (TNF)-α independent of IL-1β when compared with samples not treated with biologics (P = 0.0053). Explanted osteoarthritic cartilage responds favorably and equivalently to treatment with ACS and FD-CS from a histological perspective. Both ACS and FD-CS were able to mitigate the IL-1β-induced increases in bFGF and FD-CS lowered IL-1β concentration while increasing interleukin-1 receptor antagonist (IL-1Ra) concentration. Although the cytokine profile of cartilage tissue explants treated with FD-CS appears to be different than that of ACS, this difference does not seem to affect biologic activity of FD-CS.

Comparison of two different technologies measuring the same analytes in view of the In Vitro Diagnostica Regulation (IVDR)

Abstract Objectives This study systematically compared the performance and comparability of two medical laboratory analytical instruments, the conventional wet chemistry analyzer (cobas) and the dry slide technology (Vitros), across various clinical chemistry assays. Methods The evaluation focused on assessing imprecision, inaccuracy, recovery, and method comparison using leftover patient serum samples. Results The results indicated good to very good agreement for most clinical chemistry analytes, with larger differences observed for comparison of serum patient samples on albumin and protein. Conclusions Understanding and acknowledging method-specific variations, are crucial for accurate result interpretation in clinical laboratories. This study contributes valuable insights to ongoing discussions on method standardization.

CBP-mediated FOXO4 acetylation facilitates postmenopausal osteoporosis (PMO) progression through the inhibition of the Wnt/β-catenin signaling pathway.

FOXO4 was previously identified as a potential biomarker and therapeutic target for postmenopausal osteoporosis (PMO) using bioinformatic analysis, but its specific function and molecular mechanism in the progression of osteoporosis was not reported. The current study was designed to investigate the biological function and underlying mechanism of FOXO4 in PMO. Our results showed that FOXO4 expression was significantly upregulated in the serum samples of PMO patients, which was also negatively correlated with the expression of osteogenesis genes (OCN and ALP). In addition, FOXO4 depletion alleviated osteoporosis by facilitating osteogenic differentiation and inhibiting adipogenic differentiation in human bone marrow mesenchymal stem cells (hBMSCs). Overexpression of FOXO4 exerted the opposite effects on the osteogenic/adipogenic differentiation in hBMSCs. Moreover, FOXO4 knockdown activated the Wnt/β-catenin signaling whereas the inhibition of Wnt/β-catenin signaling overturned the effects of FOXO4 deficiency on osteoporosis. Furthermore, FOXO4 upregulation in PMO was caused by CBP-induced acetylation. In summary, our data demonstrated that FOXO4 was a potent biomarker for PMO and mediated the balance between osteogenesis and adipogenesis in hBMSCs by regulating Wnt/β-catenin signaling.

TIM-3-driven macrophage polarisation is associated to recalcitrant chronic rhinosinusitis with nasal polyps.

This study evaluated the expression of TIM-3 and its influence on macrophage polarisation in recalcitrant chronic rhinosinusitis with nasal polyps (CRSwNP). We detected TIM-3 expression in serum and tissue samples of healthy controls (HC), primary CRSwNP, and patients with recurrent CRSwNP. Macrophage markers were detected among three groups, and their correlations with TIM-3 levels were examined. Macrophages from circulating blood were collected and used to examine the impact of TIM-3 on polarisation in vitro. TIM-3 levels were enhanced in the CRSwNP group compared to the HC group. Tissue immunofluorescence revealed elevated TIM-3 expression in patients with CRSwNP, and patients with multiple recurrences exhibited higher TIM-3 levels compared to their first recurrence and baseline levels. Tissue CD163 and CD206 levels were higher in recurrent CRSwNP in comparison with primary cases and HCs, and had a positive correlation with TIM-3 levels. TIM-3 overexpression promoted M2 polarisation and enhanced TGF-β1 and IL-10 secretion. TIM-3 expression was enhanced in patients with CRSwNP, especially in those undergoing revision surgeries. TIM-3 may be a novel biomarker for recalcitrant CRSwNP. TIM-3-driven M2 polarisation might be involved in the mechanisms of recurrent CRSwNP.

Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection.

The grim (<10% 5-year) survival rates for pancreatic ductal adenocarcinoma (PDAC) are attributed to its complex intrinsic biology and most often late-stage detection. The overlap of symptoms with benign gastrointestinal conditions in early stage further complicates timely detection. The suboptimal diagnostic performance of carbohydrate antigen (CA) 19-9 and elevation in benign hyperbilirubinaemia undermine its reliability, leaving a notable absence of accurate diagnostic biomarkers. Using a selected patient cohort with benign pancreatic and biliary tract conditions we aimed to develop a data analysis protocol leading to a biomarker signature capable of distinguishing patients with non-specific yet concerning clinical presentations, from those with PDAC. 539 patient serum samples collected under the Accelerated Diagnosis of neuro Endocrine and Pancreatic TumourS (ADEPTS) study (benign disease controls and PDACs) and the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS, healthy controls) were screened using the Olink Oncology II panel, supplemented with five in-house markers. 16 specialized base-learner classifiers were stacked to select and enhance biomarker performances and robustness in blinded samples. Each base-learner was constructed through cross-validation and recursive feature elimination in a discovery set comprising approximately two thirds of the ADEPTS and UKCTOCS samples and contrasted specific diagnosis with PDAC. The signature which was developed using diagnosis-specific ensemble learning demonstrated predictive capabilities outperforming CA19-9, the only biomarker currently accepted by the FDA and the National Comprehensive Cancer Network guidelines for pancreatic cancer, and other individual biomarkers and combinations in both discovery and held-out validation sets. An AUC of 0.98 (95% CI 0.98-0.99) and sensitivity of 0.99 (95% CI 0.98-1) at 90% specificity was achieved with the ensemble method, which was significantly larger than the AUC of 0.79 (95% CI 0.66-0.91) and sensitivity 0.67 (95% CI 0.50-0.83), also at 90% specificity, for CA19-9, in the discovery set (p = 0.0016 and p = 0.00050, respectively). During ensemble signature validation in the held-out set, an AUC of 0.95 (95% CI 0.91-0.99), sensitivity 0.86 (95% CI 0.68-1), was attained compared to an AUC of 0.80 (95% CI 0.66-0.93), sensitivity 0.65 (95% CI 0.48-0.56) at 90% specificity for CA19-9 alone (p = 0.0082 and p = 0.024, respectively). When validated only on the benign disease controls and PDACs collected from ADEPTS, the diagnostic-specific signature achieved an AUC of 0.96 (95% CI 0.92-0.99), sensitivity 0.82 (95% CI 0.64-0.95) at 90% specificity, which was still significantly higher than the performance for CA19-9 taken as a single predictor, AUC of 0.79 (95% CI 0.64-0.93) and sensitivity of 0.18 (95% CI 0.03-0.69) (p = 0.013 and p = 0.0055, respectively). Our ensemble modelling technique outperformed CA19-9, individual biomarkers and indices developed with prevailing algorithms in distinguishing patients with non-specific but concerning symptoms from those with PDAC, with implications for improving its early detection in individuals at risk.