Serum Biomarkers Research Articles

Limb Underloading in Walking Transmits Less Dynamic Knee Joint Contact Forces after Anterior Cruciate Ligament Reconstruction

ABSTRACT Introduction Individuals with anterior cruciate ligament reconstruction (ACLR) often walk with a less dynamic vertical ground reaction force (vGRF), exemplified by a reduced first peak vGRF and elevated midstance vGRF compared to uninjured controls. However, the mechanism by which altered limb loading affects actual tibial plateau contact forces during walking remains unclear. Methods Our purpose was to use musculoskeletal simulation to evaluate the effects of first peak vertical ground reaction force (vGRF) biofeedback on bilateral tibiofemoral contact forces relevant to the development of post-traumatic osteoarthritis (OA) in 20 individuals with ACLR. We hypothesized that reduced first peak vGRF would produce less dynamic tibial plateau contact forces during walking in individuals with ACLR. Results As the pivotal outcome from this study, and in support of our hypothesis, we found that less dynamic vGRF profiles in individuals with ACLR – observations that have associated in prior studies with more cartilage breakdown serum biomarkers and reduced proteoglycan density – are accompanied by less dynamic tibiofemoral joint contact forces during walking. Conclusion We conclude that more sustained limb-level loading, a phenotype that associates with worse knee joint health outcomes following ACLR and was prescribed herein using biofeedback, alters the loading profile and magnitude of force applied to tibiofemoral cartilage.

Postprandial gastrin-17 level is a useful dynamic marker for atrophic gastritis

Atrophic gastritis and intestinal metaplasia may progress to gastric malignancy. Non-invasive serum biomarkers have been extensively studied and proven to be useful as a screening tool to stratify risk and identify patients for endoscopy to detect early gastric cancer. These non-invasive biomarkers have been endorsed and recommended by many international consensus guidelines. In this letter, we reviewed the literature and evidence supporting the use of serum biomarkers as a dynamic test to monitor the status of atrophic gastritis.

The Serum Biomarkers in Ulcerative Colitis

The Serum Biomarkers in Ulcerative Colitis

Soluble Urokinase-Type Plasminogen Activator Receptor and Inflammatory Biomarker Response with Prognostic Significance after Acute Neuronal Injury - a Prospective Cohort Study.

Aneurysmal subarachnoid hemorrhage (aSAH), ischemic stroke (IS), and traumatic brain injury (TBI) are severe conditions impacting individuals and society. Identifying reliable prognostic biomarkers for predicting survival or recovery remains a challenge. Soluble urokinase type plasminogen activator receptor (suPAR) has gained attention as a potential prognostic biomarker in acute sepsis. This study evaluates suPAR and related neuroinflammatory biomarkers in serum for brain injury prognosis. This prospective study included 31 aSAH, 30 IS, 13 TBI, and three healthy controls (n = 77). Serum samples were collected on average 5.9days post-injury, analyzing suPAR, IL-1β, cyclophilin A, and TNFα levels using ELISA. Outcomes were assessed 90days post-injury with the modified Rankin Scale (mRS), categorized as favorable (mRS 0-2) or unfavorable (mRS 3-6). Statistical analyses included 2-tailed t-tests, Pearson's correlations, and machine learning linear discriminant analysis (LDA) for biomarker combinations. Elevated suPAR levels were found in brain injury patients compared to controls (p = 0.017). Increased suPAR correlated with unfavorable outcomes (p = 0.0018) and showed prognostic value (AUC = 0.66, p = 0.03). IL-1β levels were higher in the unfavorable group (p = 0.0015). LDA combinatory analysis resulted a fair prognostic accuracy with canonical equation = 0.775[suPAR] + 0.667[IL1-β] (AUC = 0.77, OR 0.296, sensitivity 93.1%, specificity 53.1%, p = 0.0007). No correlation was found between suPAR and CRP or infection status. Elevated suPAR levels in acute brain injury patients were associated with poorer outcomes, highlighting suPAR's potential as a prognostic biomarker across different brain injury types. Combining IL-1β with suPAR improved prognostic accuracy, supporting a multimodal biomarker approach for predicting outcomes.

Novel Biomarkers as Potential Predictors of Decompensated Advanced Chronic Heart Failure—Single Center Study

Background/Objectives: Heart failure (HF) remains a major therapeutic and diagnostic challenge nowadays. Albeit, acute decompensated HF is associated with several clinical signs such as dyspnea or edema, it remains a challenge to use easy accessible and suitable tools, such as biomarkers, to distinguish between patients at risk for an acute decompensation of their heart failure and compensated, stable HF patients. Existing biomarkers, such as natriuretic peptides or troponin, are not specific and can be elevated due to several other disease conditions, such as myocardial infarction, atrial fibrillation, or valve diseases. Therefore, the aim of this study was to analyze the predictive potential of four novel cardiovascular biomarkers—the soluble urokinase-type plasminogen activator receptor (suPAR), heart-type fatty acid binding protein (H-FABP), vascular cell adhesion molecule 1 (VCAM-1), and growth/differentiation factor 15 (GDF-15) for the detection of cardiac decompensation in patients with HF. Methods: In this study, 146 patients were prospectively enrolled and the serum biomarker concentrations were analyzed using Enzyme Linked Immunosorbent Assay (ELISA). We correlated the biomarker concentrations with clinical and biochemical parameters of all patients and the predictive value for detection of cardiac decompensation was assessed. Results: A significant increase in the levels of suPAR (1.6-fold-change, p < 0.0001), H-FABP (2.2-fold-change, p = 0.0458), VCAM-1 (1.6-fold-change, p < 0.0001), and GDF-15 (1.7-fold-change, p = 0.0009) was detected in all patients with acute decompensated HF in comparison to patients with compensated HF. Univariate logistic regression analysis revealed a significant association of biomarker plasma concentration with the risk for a cardiac decompensation (suPAR: p < 0.0001; VCAM-1: p < 0.0001, H-FABP: p = 0.0458; GDF-15: p = 0.0009). Conclusions: In conclusion, the investigated novel cardiovascular biomarkers suPAR, GDF-15, VCAM-1, and H-FABP could be a valuable tool to facilitate therapeutic decisions in patients with heart failure and suspicion of a cardiac decompensation. Parameters such as renal function should be taken into account. Further studies on novel biomarkers are required to find reliable, sensitive, and specific tools that will enable the early detection of patients with acute decompensation.

Relation of CXCL10 and CXCR3 Gene Polymorphisms with COVID-19 Severity and its Serum Biochemical Markers

CXCL10 (rs201830102) is a chemokine involved in immune cell recruitment, while its receptor, CXCR3 (rs779120264), mediates immune responses through the activation of T cells. These genes are critical in the immune response to viral infections, including COVID-19. The study aimed to explore the relationship between polymorphisms in the CXCL10 gene and CXCR3 receptor with disease severity in COVID-19 patients. In this cross-sectional analytical study, 100 COVID-19 patients were enrolled after ethical approval, and written informed consent was obtained from each participant. Polymorphisms in CXCL10 and CXCR3 were analyzed by sequencing, while biochemical and hematological parameters were assessed using appropriate methods. Descriptive and inferential statistics were employed to analyze continuous and categorical data. Significant associations were observed between severe COVID-19 cases and elevated levels of serum D-dimer, ferritin, random blood sugar (RBS), neutrophils, and erythrocyte sedimentation rate (ESR), along with reduced hemoglobin levels. Lymphocyte and platelet counts were significantly lower with increased disease severity. The wild genotype of CXCL10 was notably associated with elevated ferritin levels, suggesting that certain gene variants may offer protective effects. However, no significant correlation was found between CXCR3 and CXCL10 polymorphisms and other serum biomarkers. Our study confirmed a significant rise in serum D-dimer, ferritin, RBS, neutrophils, and ESR, along with a reduction in hemoglobin, lymphocyte, and platelet counts in severe COVID-19 cases compared to mild ones. Notably, mutations in the CXCL10 gene were linked to less severe COVID-19 outcomes.

Abstract A068: Evaluate the performance of FibraChek™ for non-invasive detection of hepatic fibrosis and hepatocellular carcinoma

Abstract Metabolic dysfunction-associated steatotic liver disease (MASLD), fibrosis, and cirrhosis are risk factors for hepatocellular carcinoma (HCC). Blood-based assays to date have limited accuracy for detecting MASLD and cirrhosis, and thus have not been widely adopted in the clinical setting. The identification and validation of a multiplex molecular signature associated with liver disease may address this unmet need. This prospective single-center US study evaluated the performance of the non-invasive Liver FibraChek Dx serum assay for detecting MASLD. The study algorithm analyzes weighted values of five serum biomarkers (AST, ALT, taurocholic acid, L-tyrosine, and platelet count) plus age to derive a risk score. Samples comprised 14 MASLD cases, 19 HCC cases, and 12 healthy controls. Liver status was confirmed by tissue biopsy. Wilcoxon rank sum tests determined the association between the risk score and confirmed liver histology. Diagnostic performance was assessed using ROC curves. The probability of identifying MASLD and/or HCC by Liver FibraChek Dx, in conjunction with other patient parameters, was demonstrated by an AUROC of 0.890 (95% CI: 0.776-1.000), with 93.9% sensitivity, 75.0% specificity, 91.1% positive predictive value, 81.8% negative predictive value, and 88.9% accuracy. Risk scores associated with the biomarker panel enabled accurate discrimination of liver disease from healthy controls. The non-invasive multiplex Liver FibraChek Dx test can effectively and accurately detect and classify hepatic fibrosis risk in peripheral blood samples and may have utility in diagnosing and monitoring liver pathogenesis. Citation Format: Fernando Siguencia, Michitaka Matsuda, Vijay Pandyarajan, Sunao Tanaka, Steven M Smith, Ekihiro Seki, Charles J Rosser, Hideki Furuya. Evaluate the performance of FibraChek™ for non-invasive detection of hepatic fibrosis and hepatocellular carcinoma [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A068.

Abstract B024: Personalized tumor-informed circulating tumor (ct) DNA for advanced thyroid carcinoma

Abstract Background: Clinical adoption of personalized tumor-informed ctDNA testing is increasing with clinical validation in monitoring for recurrence for colorectal, breast, bladder, & ovarian tumors, as well as treatment response for immune-checkpoint inhibitors regardless of tumor type. However, few studies have evaluated tumor-informed ctDNA testing in patients (pts) with advanced thyroid carcinoma (TC). Methods: This retrospective cohort study identified pts with advanced TC, with any histology, treated at an academic institution with ctDNA testing (Signatera™, Natera Inc.) performed during routine clinical care at any point during the disease natural history after requiring referral to medical oncology. The goal was to investigate the feasibility of personalized, tumor-informed ctDNA testing in advanced TC, and characteristics associated with ctDNA detectability & values. Results: Between 1/1/24 & 8/20/24, ctDNA testing was obtained in 45 pts with advanced TC (median age: 63y, 58% male). Testing could not be performed in 4 (9%) pts due to inadequate tumor tissue. Initial tests were in progress for 7 (16%) pts at data cutoff. Thirty-four pts had available results for at least 1 blood draw, including 19 (56%) with radioiodine refractory (RAIR) differentiated TC (DTC), 10 (29%) with anaplastic TC (ATC), & 5 (15%) with medullary TC (MTC). ctDNA was detected in 16/34 (47%) pts with advanced TC. These included 8/19 (42%) pts with RAIR DTC (range: 0.05–346.26 mean tumor molecules, MTM/mL), including 4/4 (100%) about to initiate new systemic Rx, 1/4 (25%) on ongoing systemic Rx, & 3/11 (27.3%) on active surveillance not requiring systemic Rx. 4/10 (40%) with ATC had detectable ctDNA (range: 3.57–80.55 MTM/mL), including 4/4 (100%) about to initiate new systemic Rx, & 0/6 in those with disease control on ongoing Rx or on active surveillance after completion of Rx. 4/5 (80%) with MTC (range: 0.04–94.72 MTM/mL), including 4/4 (100%) on ongoing systemic Rx & 0/1 on active surveillance. Radiographic evidence of disease was observed in 28/34 (82%) pts, with ctDNA detection in 16/28 (57%). For all cases, there was a significant association between anatomic tumor burden represented by the no. of organ sites involved by advanced TC (median:2.5, range:0-6) & ctDNA detectability (Mann-Whitney, p=0.003). In pts with a ctDNA-positive result (n=16), there was a modest correlation between ctDNA quantitative values & no. of involved organ sites (Spearman’s rho=0.48), but was not statistically significant (p=0.06). Similarly, modest correlation with serum biomarkers was observed but not statistically significant in RAIR DTC (with serum thyroglobulin, n=8, rho=0.52, p=0.18), & MTC (with serum calcitonin, n=4, rho=0.8, p=0.2). Conclusions: Personalized ctDNA testing is feasible and often detectable in pts with advanced TC. Further research is warranted to ascertain factors associated with ctDNA test performance, and understand whether ctDNA monitoring can guide optimal timing for initiation of systemic Rx in advanced TC, as well as the dynamics of ctDNA on systemic Rx. Citation Format: Kartik Sehgal, Theodora Pappa, Michael J. Dennis, Nicole J. Scarfo, Michelle S. Mullin, Tura Coombs, Roy B. Tishler, Danielle N. Margalit, Ravindra Uppaluri, Rosh K. Sethi, Jonathan D. Schoenfeld, Justine A. Barletta, Gerard M. Doherty, Erik K. Alexander, Laura A. Goguen, Eleni M. Rettig, Robert I. Haddad, Glenn J. Hanna. Personalized tumor-informed circulating tumor (ct) DNA for advanced thyroid carcinoma [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B024.

Abstract B037: Disks large-associated protein 5 (DLGAP5) is a putative prognostic biomarker for intraductal papillary mucinous neoplasm (IPMN) of pancreas

Abstract Pancreatic cancer is one of the deadliest malignant diseases, accounting for nearly 500,000 deaths worldwide each year. One of the pancreatic cancer precursors are mucinous pancreatic cystic lesions (PCL). Although only a minority of these PCLs undergo malignant transformation, the clinical significance is considerable, particularly given the prevalence of up to 45% in individuals over the age of 65. The most prevalent type of neoplastic PCL is intraductal papillary mucinous neoplasm (IPMN) and the management of different IPMN grades varies, with high- grade dysplasia and invasive carcinoma being indicated for surgery. However, the current guidelines for patient stratification are limited and often lead to either overtreatment or undertreatment, both of which are associated with high mortality and morbidity. Therefore, there is a pressing need to identify biomarkers associated with progression of IPMN from low to high grade that can be used for more accurate lesion assessment. Here we identified a novel biomarker highly correlated with IPMN progression – DLGAP5. Both mRNA as well as protein expression of DLGAP5 is positively associated with increased grade of IPMNs as determined by analysis of patient derived tumor samples. Additionally, in vitro experiments confirmed that knock down of DLGAP5 in pancreatic cancer cells leads to reduction of cell proliferation, and conversely, overexpression of DLGAP5 in IPMN precursor cells resulted in increased proliferation. Since one of the functions of DLGAP5 is microtubule stabilization, we hypothesized that the secretome of IPMN precursor cells will be altered by the expression of DLGAP5. Indeed, our mass spectrometry-based analysis of secreted proteins identified several hits (e.g. DKK1) that were correlated with DLGAP5 expression and were previously confirmed to be present in IPMN cyst fluid in patients. Subsequently, we aim to validate the correlation of the putative biomarkers in IPMN cyst fluid and serum with IPMN grade and patients’ clinical outcome in a prospective manner. To sum up, we validated DLGAP5 as an IPMN-progression biomarker and identified several secreted proteins that could serve as DLGAP5-surrogate biomarkers for stratification of the patients with IPMN and subsequent treatment optimalization. Citation Format: Radoslav Janostiak, Peter Mačinga, Lucia Csergeová, Ondřej Fabián, Eva Sticová, Jiří Zahradník, Martin Květoň, Tomáš Hucl. Disks large-associated protein 5 (DLGAP5) is a putative prognostic biomarker for intraductal papillary mucinous neoplasm (IPMN) of pancreas [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B037.

Exploring the Link between Periodontal Disease and Systemic Conditions: Implications for Alzheimer’s, Parkinson’s, and Rheumatoid Arthritis

ABSTRACT Background: There is a growing correlation between periodontal disease, a common inflammatory disorder that affects the tissues supporting the teeth, and several systemic diseases. Materials and Methods: Two hundred patients from a tertiary care hospital, ages 50–75, participated in this cross-sectional research. The subjects were split up into four groups: 50 individuals with rheumatoid arthritis, 50 with Alzheimer’s disease, 50 with Parkinson’s disease, and 50 with periodontal disease. To evaluate periodontal condition, including clinical attachment loss and pocket depth, thorough oral exams were performed. Measurements were made of serum biomarkers for inflammation, such as interleukin-6 (IL-6) and C-reactive protein (CRP). Multivariate regression models were used to examine correlations between the severity of periodontal disease and the underlying systemic diseases. Results: In all groups, there were significant relationships between higher levels of indicators of systemic inflammation and the severity of periodontal disease. In comparison to healthy controls (CRP mean value: 2.1 mg/L; IL-6 mean value: 6.4 pg/mL), participants with periodontal disease had higher mean levels of CRP (5.6 mg/L) and IL-6 (mean value: 12.8 pg/mL). Furthermore, compared to those with rheumatoid arthritis, those with Alzheimer’s and Parkinson’s disorders showed higher levels of pocket depth and periodontal attachment loss. Conclusion: In conclusion, the results point to a possible connection between systemic diseases such rheumatoid arthritis, Parkinson’s disease, and Alzheimer’s.

Clinical- and Cost-Effectiveness of Liver Disease Staging in Hepatitis C Virus Infection: A Microsimulation Study.

Liver disease assessment is a key aspect of chronic hepatitis C virus (HCV) infection pre-treatment evaluation but guidelines differ on the optimal testing modality given trade-offs in availability and accuracy. We compared clinical outcomes and cost-effectiveness of common fibrosis staging strategies. We simulated adults with chronic HCV receiving care at US health centers through a lifetime microsimulation across five strategies: (1) no staging or treatment (comparator), (2) indirect serum biomarker testing (Fibrosis-4 index [FIB-4]) only, (3) transient elastography (TE) only, (4) staged approach: FIB-4 for all, TE only for intermediate FIB-4 scores (1.45-3.25), and (5) both tests for all. Outcomes included infections cured, cirrhosis cases, liver-related deaths, costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs). We used literature-informed loss to follow-up (LTFU) rates and 2021 Medicaid perspective and costs. FIB-4 alone generated the best clinical outcomes: 87.7% cured, 8.7% developed cirrhosis, and 4.6% had liver-related deaths. TE strategies cured 58.5%-76.6%, 16.8%-29.4% developed cirrhosis, and 11.6%-22.6% had liver-related deaths. All TE strategies yielded worse clinical outcomes at higher costs per QALY than FIB-4 only, which had an ICER of $12 869 per QALY gained compared with no staging or treatment. LTFU drove these findings: TE strategies were only cost-effective with no LTFU. In a point-of-care HCV test-and-treat scenario, treatment without any staging was most clinically and cost-effective. FIB-4 staging alone resulted in optimal clinical outcomes and was cost-effective. Treatment for chronic HCV should not be delayed while awaiting fibrosis staging with TE.

Corrigendum: Patients with microscopic colitis have altered levels of inhibitory and stimulatory biomarkers in colon biopsies and sera compared to non-inflamed controls

Corrigendum: Patients with microscopic colitis have altered levels of inhibitory and stimulatory biomarkers in colon biopsies and sera compared to non-inflamed controls

Abstract 4137311: Inhibition of IL-33 by tozorakimab in patients with diabetic kidney disease: Cardiovascular insights from FRONTIER-1

Introduction: Interleukin-33 (IL-33) is a potent mediator of injury-induced local inflammation. Soluble ST2 (sST2), a decoy receptor of IL-33, is a prognostic serum biomarker for heart failure (HF). Here, we evaluated the impact of tozorakimab, an IL-33-neutralizing monoclonal antibody, on sST2-related secondary cardiac endpoints. Methods: FRONTIER-1 was a 24-week phase 2B study (NCT04170543) in patients with diabetic kidney disease (DKD). Key cardiac exclusion criteria were: 1) NYHA Class 3/4; 2) Left ventricular ejection fraction (LVEF) < 40%; 3) B-type natriuretic peptide (BNP) > 200 pg/mL. Local echocardiography (LVEF) was performed at Screening and Week 24. For exploratory analysis, echocardiography recordings were evaluated by a core laboratory. Throughout the study, BNP and sST2 were assessed and adverse events (AE) recorded. Safety and tolerability were evaluated for all dosed participants (Safety Analysis Population, SAP). Results: 573 participants were included in the SAP (139 = placebo / 434 = tozorakimab). Baseline characteristics were balanced across treatment groups. Tozorakimab was generally well tolerated and the incidences of AE, serious AE (SAEs), discontinuations, and death were similar to placebo. In the placebo group, cardiac disorder AE were reported in 6.5%, and SAE in 2.2%. Decline in LVEF of > 10% was seen in 5 participants (4.3%). None developed BNP > 200 pg/mL or clinical signs of HF. 1 participant (0.7%) presented with clinical symptoms of HF (SAE) without significant changes in LVEF or BNP. On tozorakimab, cardiac disorder AE/SAE were less frequent (3.7%/1.8%). Decline in LVEF of > 10% was observed in 31 participants (8.3%), with 3 showing BNP elevation to 200–308 pg/mL. Two of these participants (0.5%) developed clinical signs of HF with LVEF 55%/30% and BNP < 200 pg/mL. No further AE related to HF were reported for tozorakimab. Central analysis of LVEF revealed a substantial variability of site-based measurements indicating LVEF reductions > 10 % in 2 (3.7%) participants on placebo and 6 (2.9%) on tozorakimab. Furthermore, central exploratory analysis demonstrated a slight increase in LVEF from baseline (1.62%, 95% CI: 0.22, 3.03) and a reduction in average E/e' (-0.47, 95% CI: -0.93, -0.01) for tozorakimab, but not placebo. Trends in BNP and sST2 over time were comparable. Conclusion: This study suggests a favorable cardiac safety profile for tozorakimab in patients with DKD. IL-33 inhibition did not elevate serum sST2 significantly.

Abstract 4136813: Redox Serum Proteomics Of Left Ventricular Assist Device Unloaded Human Heart

Heart failure (HF) is a global epidemic claiming millions of lives worldwide. Unloading the heart of end-stage HF patients via left ventricular assist devices (LVADs) is used not only as a bridge to transplantation but also as a bridge to recovery in certain selected patients. To date, assessment of patients’ recovery from HF is based on clinical and symptomatic evaluation. The use of non-invasive biomarkers that monitor the remodeling/reverse remodeling associated with HF progression/recovery is still lacking. In this study we applied mass spectrometry-based quantitative redox proteomics to identify serum biomarkers to monitor both the progression of HF and its recovery after LVAD treatment. A fingerprint of reversed behavior at the protein and at the oxidized Cys peptide level has been discovered when comparing HF and LVAD patients. HDL proteins related to lipid metabolism were decreased in HF samples and increased in LVAD patients. In addition, a number of inflammatory proteins showed a decrease in LVAD samples and an increase in HF samples. In particular APOA4, C7, F2 or SAA2 discriminated between HF and LVAD patients. A pool of peptides containing specific oxidized Cys residues showed an inverse relationship in HF as opposed to LVAD samples. Oxidized Cys-containing peptides derived from Albumin, IGK and IGG1 discriminated HF from LVAD samples. Discriminatory sensitivity and specificity were enhanced by using a combination of the proteins APOA4, C7, F2 and the above-mentioned peptide derived from Albumin. Responders and non-responders could also be separated by proteins such as APOA4, and Cys-oxidized peptides, such as the ones derived from Albumin or IGK mentioned above. This is the first study to apply redox proteomics to explore the protein profile of the LVAD unloaded human heart. These data suggest that HDL plays an important role in LVAD recovery and that a specific group of peptides is associated with the recovery process; the mechanisms involved need further study. Our data could have important implications to the management of patients in the LVAD recovery program and could serve to identify new therapeutic targets.

Gut microbiota and metabolic profiles in adults with unclassified diabetes: a cross-sectional study

AimsOur study, employing a multi-omics approach, aimed to delineate the distinct gut microbiota and metabolic characteristics in individuals under 30 with unclassified diabetes, thus shedding light on the underlying pathophysiological mechanismsMethodsThis age- and sex-matched case-control study involved 18 patients with unclassified diabetes, 18 patients with classic type 1 diabetes, 13 patients with type 2 diabetes, and 18 healthy individuals. Metagenomics facilitated the profiling of the gut microbiota, while untargeted liquid chromatography-mass spectrometry was used to quantify the serum lipids and metabolites.ResultsOur findings revealed a unique gut microbiota composition in unclassified diabetes patients, marked by a depletion of Butyrivibrio proteoclasticus and Clostridium and an increase in Ruminococcus torques and Lachnospiraceae bacterium 8_1_57FAA. Comparative analysis identified the combined marker panel of five bacterial species, seven serum biomarkers, and three clinical parameters could differentiate patients with UDM from HCs with an AUC of 0.94 (95% CI 0.85–1). Notably, the gut microbiota structure of patients with unclassified diabetes resembled that of type 2 diabetes patients, especially regarding disrupted lipid and branched-chain amino acid metabolism.ConclusionsDespite sharing certain metabolic features with type 2 diabetes, unclassified diabetes presents unique features. The distinct microbiota and metabolites in unclassified diabetes patients suggest a significant role in modulating glucose, lipid, and amino acid metabolism, potentially influencing disease progression. Further longitudinal studies are essential to explore therapeutic strategies targeting the gut microbiota and metabolites to modify the disease trajectory.

Clinical and biologic profiles of patients with acute respiratory distress syndrome by prevalence of chronic obstructive pulmonary disease or emphysema; a cohort study

IntroductionAcute respiratory distress syndrome (ARDS) is characterized by diffuse lung injury. The impact of pre-existing chronic obstructive pulmonary disease (COPD) or emphysema on ARDS pathogenesis is not well characterized.MethodsSecondary analysis of ARDS patients enrolled in the Acute Lung Injury Registry and Biospecimen Repository at the University of Pittsburgh between June 2012 and September 2021. Patients were categorized into two mutually exclusive groups by the prevalence of COPD or emphysema at the time of ARDS diagnosis. The COPD/emphysema group comprised ARDS patients with radiological evidence of emphysema, chart diagnosis of COPD, or both. Demographics, lung mechanics, and clinical outcomes were obtained from the electronic medical record. Host-response biomarkers known to have validated associations with ARDS were previously measured in plasma and lower respiratory tract samples using a customized Luminex assay. Continuous and categorical variables were compared between groups with and without COPD/emphysema.Results217 patients with ARDS were included in the study, 57 (27%) had COPD/emphysema. Patients with COPD/emphysema were older (median 62 [interquartile range 55–69] versus 53 [41–64] years, p < 0.01), more likely to be male (62% vs. 44%, p = 0.02) and had a higher prevalence of congestive heart failure (25% vs. 4%, p < 0.01) compared to patients without COPD/emphysema. Baseline demographics, laboratory parameters, and mechanical ventilatory characteristics were otherwise similar between the two groups. No difference in 90-day mortality was observed between groups; however, patients with COPD/emphysema had shorter duration of intensive care unit (ICU) stay (median 10 [7–18] versus 16 [9–28] days, p = 0.04) and shorter duration of mechanical ventilation (median 7 [4–16] vs. 12 [6–20] days, p = 0.01). Host response biomarkers in serum and lower respiratory tract samples did not significantly differ between groups.ConclusionARDS patients with COPD or emphysema had similar respiratory mechanics, host response biomarker profiles, and mortality compared to those without COPD or emphysema but with a shorter median duration of mechanical ventilation and ICU length of stay. Future studies should address differences in clinical and biological responses by disease severity, and should investigate the impact of severity of COPD and emphysema on mechanical ventilation and targeted therapeutic strategies in ARDS.Clinical trial numberNot applicable

Anti-Müllerian Hormone Can Help With Predicting Ovarian Failure for Premenopausal Women Who Have Undergone Ablative Radioiodine Treatment for Thyroid Cancer

Differentiated thyroid carcinoma is the most common endocrinological malignancy with an increasing incidence over the last 30 years, with women being more frequently affected. In indicated cases, total thyroidectomy followed by adjuvant radioiodine administration is performed, despite current trends towards less aggressive treatment. We would like to investigate the possible adverse effects of radioiodine (RAI) on ovarian function using a simple serum biomarker. Anti-Müllerian hormone (AMH) appears to be the best endocrine marker for assessing physiological age-related oocyte loss for healthy women. The aim of our ongoing prospective study is to determine serum AMH to estimate ovarian reserve for premenopausal women treated with RAI. Over the course of one year, 33 serum samples from women with thyroid cancer and 3 serum samples from healthy women were examined. AMH levels were compared before radioiodine treatment and at regular intervals after treatment. Mean of the AMH level was 5.4 ng/ml (n=33) prior to RAI. The average level of AMH decreased to 1.8 ng/ml in 4-6 months after treatment. In 22.2 % of patients AMH dropped to 0 ng/ml from a non-zero value. Thereafter, we observed an increase in AMH, the average value was 2.7 ng/ml in 8-12 months. We demonstrated a significant decrease in AMH shortly after radioiodine treatment and a subsequent trend of increase at one year after treatment. Consequently, predicting the adverse effects of radioiodine by assessing a serum biomarker could help to select an appropriate treatment strategy for young women planning pregnancy.

18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Large-Vessel Vasculitis During Active and Inactive Disease Stages Is Associated with the Metabolic Profile, but Not the Macrophage-Related Cytokines: A Proof-of-Concept Study

Giant cell arteritis (GCA) is an autoimmune/autoinflammatory disease affecting large vessels in patients over 50 years old. The disease presents as an acute inflammatory response with two phenotypes, cranial GCA and large-vessel vasculitis (LV)-GCA, involving the thoracic aorta and its branches. 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET-CT) is among the imaging techniques contributing to diagnosing patients with systemic disease. However, its association with soluble inflammatory markers is still elusive. This proof-of-concept study aims to identify novel soluble serum biomarkers in PET/CT-positive patients with LV-GCA and associate them with active (0 months) and inactive disease (6 months following treatment), in sequential samples. The most-diseased-segment target-to-background ratio (TBRMDS) was calculated for 13 LV-GCA patients, while 14 cranial GCA and 14 Polymyalgia Rheumatica patients with negative initial PET/CT scans served as disease controls. Serum macrophage-related cytokines were evaluated by cytometric bead array (CBA). Finally, previously published NMR/metabolomics data acquired from the same blood sampling were analyzed along with PET/CT findings. TBRMDS was significantly increased in active versus inactive disease (3.32 vs. 2.65, p = 0.006). The analysis identified nine serum metabolites as more sensitive to change from the active to inactive state. Among them, choline levels were exclusively altered in the LV-GCA group but not in the disease controls. Cytokine levels were not associated with PET/CT activity. Combining CRP, ESR, and TBRMDS with choline levels, a composite index was generated to distinguish active and inactive LV-GCA (20.4 vs. 11.62, p = 0.001). These preliminary results could pave the way for more extensive studies integrating serum metabolomic parameters with PET/CT imaging data to extract sensitive composite disease indexes useful for everyday clinical practice.

Noninvasive, Multimodal Inflammatory Biomarker Discovery for Systemic Inflammation (NOVA Study): Protocol for a Cross-Sectional Study.

Prolonged systemic inflammation is recognized as a major contributor to the development of various chronic inflammatory diseases. Daily measurements of inflammatory biomarkers can significantly improve disease monitoring of systemic inflammation, thus contributing to reducing the burden on patients and the health care system. There exists, however, no scalable, cost-efficient, and noninvasive biomarker for remote assessment of systemic inflammation. To this end, we propose a novel, multimodal, and noninvasive approach for measuring inflammatory biomarkers. This study aimed to evaluate the relationship between the levels of inflammatory biomarkers in serum (gold standard) and those measured noninvasively in urine, sweat, saliva, exhaled breath, stool, and core body temperature in patients with systemic inflammation. This study is a single-center, cross-sectional study and includes a total of 20 participants (10 patients with systemic inflammation and 10 control patients). Eligible participants provide serum, urine, sweat, saliva, exhaled breath, and stool samples for biomarker analyses. Core body temperature is measured using a sensor. The primary end point is the level of C-reactive protein (CRP). The secondary end points are interleukin (IL)-1β, IL-6, IL-8, IL-10, and tumor necrosis factor-α levels. The tertiary end points are fractional exhaled nitric oxide, calprotectin, and core body temperature. Samples will be collected in 2 batches, enabling preliminary analysis of the first batch (patients 1-5 from each group). The full analysis will include both batches. CRP and cytokine levels will be measured using enzyme-linked immunosorbent assay and electrochemiluminescence immunoassay. For statistical analysis, the Shapiro-Wilk test will be used to evaluate the normality of the distribution in each variable. We will perform the 2-tailed t test or Wilcoxon rank sum test to compare the levels of inflammatory biomarkers between patients with systemic inflammations and control patients. Pearson and Spearman correlation coefficients will assess the relationship between inflammatory biomarkers from noninvasive methods and serum biomarkers. Using all-subset regression analysis, we will determine the combination of noninvasive methods yielding the highest predictive accuracy for serum CRP levels. Participants' preferences for sampling methods will be assessed through a questionnaire. The study received ethics approval from the independent research ethics committee of Canton Zurich on October 28, 2022. A total of 20 participants participated in the study measurements. Data collection started on February 22, 2023, and was completed on September 22, 2023. Participants were on average 52.8 (SD 14.4; range 24-82) years of age, and 70% (14/20) of them were women. The analysis results reporting findings are expected to be published in 2025. This study aims to evaluate the feasibility of noninvasive, multimodal assessment of inflammatory biomarkers in patients with systemic inflammation. Promising results could lead to the creation of noninvasive and potentially digital biomarkers for systemic inflammation, enabling continuous monitoring and early diagnosis of inflammatory activity in a remote setting. DERR1-10.2196/62877.

Preoperative hypoxic biomarkers and postoperative delirium in patients with obstructive sleep apnea.

Postoperative delirium (POD) in patients with obstructive sleep apnea (OSA) is associated with increased mortality and healthcare costs. In this study, we investigated the association of OSA risk, serum biomarkers for central nervous ischemia (S100B and NSE), and POD. After research ethics approval, patients completed the STOP BANG assessment before undergoing elective surgery. Blood was drawn for S100B and NSE measurement, and cognitive performance was tested using the Montreal Cognitive Assessment (MoCA) at study admission and postoperatively at discharge. Delirium assessment was performed using the Nursing Delirium Screening Scale (NuDESC) and the Confusion Assessment Method (CAM). One hundred twenty-four enrolled patients were separated into three OSA-risk groups based on STOP BANG score testing (low risk, n = 22; intermediate risk, n = 67; high risk, n = 35). Preoperative NSE values increased with OSA risk (NSE in ng/ml; mean [range]; low risk: 15.6 [9.2-44.3]; intermediate risk: 21.8 [7.6-114.1]; high risk: 29.2 [10.1-151]; p = 0.039). Postoperative MoCA and NuDESC assessments were not different between the OSA-risk groups. We found a decreasing incidence for POD with increasing OSA risk (positive CAM: low risk: 18.1%, intermediate risk: 12.0%; high risk: 11.5%, p = 0.043). However, this was no longer detectable in a complete case analysis. In patients with POD, postoperative ischemic biomarker values were not different between OSA-risk groups. We found a trend of decreasing POD incidence with increasing OSA risk, which was not robust in a complete case analysis. Our results possibly support the phenomenon of hypoxic preconditioning.