European Journal of Clinical Investigation最新文献

Background: Neoadjuvant chemotherapy (NAC) can provide improved survival outcomes in pancreatic ductal adenocarcinoma (PDAC) patients who respond to treatment, but currently available biomarkers cannot reliably predict NAC response. This study aimed to determine the potential of a previously identified diagnostic and prognostic biomarker panel (i.e. Ca-125, S100A2, S100A4, Mesothelin and Ca19-9) for the monitoring of NAC-response in PDAC patients.

Methods: This single-centre, retrospective study, utilised serum from NAC treated PDAC patients to determine the levels of biomarkers by Enzyme-Linked Immunosorbent Assay (ELISA). The percentage of the tumour bed occupied by viable carcinoma (PVC) was used to divide patients into good (PVC < 50%) and poor (PVC ≥ 50%) NAC-responders. Statistical analysis was performed to measure the ability of individual biomarkers and a biomarker panel in NAC treatment response and patient survival.

Results: Serum specimens from a total of 108 PDAC patients were assessed. Ca-125, Ca19-9 and S100A2 showed a significant positive correlation with PVC. Ca-125 demonstrated a superior ability to monitor NAC treatment response (Area under receiver operating curve (AUC): .6954) compared to the more widely used clinical biomarker, Ca19-9 (AUC: .6291). A panel of Ca-125 and Ca19-9 showed good ability to monitor NAC response in PDAC patients (AUC: .7349). Patients with high levels of both Ca-125 and Ca19-9 were shown to have the poorest overall survival (median overall survival: 17 vs. 30 months).

Conclusion: A serum biomarker panel of Ca-125 and Ca19-9 could be used for effective clinical management of PDAC patients undergoing NAC treatment.

Introduction: Adiponectin, a key adipokine, shows promise as a non-invasive biomarker for liver cirrhosis by reflecting inflammation and metabolic changes, but conflicting findings highlight the need for a systematic review and meta-analysis to clarify its role. Our study aimed to evaluate adiponectin levels across various stages of liver cirrhosis, compare them with other chronic liver diseases (CLD) and hepatocellular carcinoma (HCC), and assess its potential as a diagnostic and prognostic biomarker.

Methods: Our systematic search was conducted on September 2023 using PubMed, EMBASE and Scopus, searching for observational studies evaluating serum and plasma adiponectin levels in liver cirrhosis. Inclusion and exclusion criteria were applied, and study quality was assessed using the Newcastle-Ottawa Scale. To evaluate the overall effect size, we utilized a random-effects model along with a mean difference (MD) analysis. The principal summary outcome was the MD in adiponectin levels.

Results: We included 16 articles involving 2617 subjects in our qualitative and quantitative synthesis. We found significantly higher adiponectin levels in liver cirrhosis patients (8.181 [95% CI 3.676, 12.686]), especially in Child-Pugh B individuals (13.294 [95% CI 4.955, 21.634]), compared to controls. Child-Pugh A patients did not show significant differences compared to controls. In addition, adiponectin levels were significantly elevated in primary biliary cholangitis (PBC) patients compared to controls (8.669 [95% CI .291, 17.047]), as well as in liver cirrhosis compared to other CLD patients (4.805 [95% CI 1.247, 8.363]), including non-alcoholic fatty liver disease (NAFLD) (8.532 [95% CI 3.422, 13.641]), but not viral hepatitis. No significant MD was observed between liver cirrhosis and HCC patients.

Conclusion: Adiponectin levels are significantly elevated in liver cirrhosis, especially in advanced stages, potentially serving as a biomarker for advanced cirrhosis. Adiponectin also differentiates cirrhosis from other CLD, including NAFLD. However, its role in distinguishing cirrhosis from viral hepatitis and HCC is limited.

Energy metabolism of chimeric antigen receptor-T cells (CAR-T) activation in humans remains unexplored. As a glycolytic activity surrogate, we investigated the dynamics of peripheral blood (PB) lactate in the first weeks post-CAR-T infusion. In 17 patients treated with CD28 harbording anti-CD19 CAR-T for relapsed/refractory non-Hodgkin lymphomas, PB lactate levels increased following CAR-T infusion. Elevated lactate levels correlated with longer CAR-T persistence and higher CD8+/CD4+ ratio. Peripheral blood lactate kinetics may reflect immune cells activation and be useful for bedside monitoring.

Background: Guidelines and studies provide conflicting information on whether type 2 diabetes (T2D) should be considered a coronary heart disease risk (CHD) equivalent in older adults.

Methods: We synthesized participant-level data on 82,723 individuals aged ≥65 years from five prospective studies in two-stage meta-analyses. We estimated multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of T2D (presence versus absence) on a primary composite outcome defined as cardiovascular events or all-cause mortality. Secondary outcomes were the components of the composite. We evaluated CHD risk equivalence by comparing outcomes between individuals with T2D but no CHD versus CHD but no T2D.

Results: The median age of participants was 71 years, 20% had T2D and 17% had CHD at baseline. A total of 29,474 participants (36%) experienced the composite outcome. Baseline T2D was associated with higher risk of cardiovascular events or all-cause mortality versus no T2D (HR 1.44, 95% CI [1.40-1.49]). The association was weaker in individuals aged ≥75 years versus 65-74 years (HR 1.32 [1.19-1.46] vs. 1.56 [1.50-1.62]; p-value for interaction = .032). Compared to individuals with CHD but no T2D, individuals with T2D but no CHD had a similar risk of the composite outcome (HR 0.95 [0.85-1.07]), but a lower risk of cardiovascular events (HR 0.76 [0.59-0.98]).

Conclusions: T2D was associated with increased risk of cardiovascular events and all-cause mortality in older adults, but T2D without CHD conferred lower risk of cardiovascular events compared to CHD without T2D. Our results suggest that T2D should not be considered a CHD risk equivalent in older adults.

Background: The relationship between systemic lupus erythematosus (SLE) and low-grade metabolic inflammation (MI) with the microbiota is crucial for understanding the pathogenesis of these diseases and developing effective therapeutic interventions. In this context, it has been observed that the gut microbiota plays a key role in the immune regulation and inflammation contributing to the exacerbation through inflammatory mediators. This research aimed to describe similarities/differences in anthropometric, biochemical, inflammatory, and hepatic markers as well as to examine the putative role of gut microbiota concerning two inflammatory conditions: SLE and MI.

Methods: Data were obtained from a cohort comprising adults with SLE and MI. Faecal samples were determined by 16S technique. Statistical analyses compared anthropometric and clinical variables, and LEfSe and MetagenomeSeq were used for metagenomic data. An interaction analysis was fitted to investigate associations of microbiota with fatty liver index (FLI) depending on the inflammatory condition.

Results: Participants with low-grade MI showed worse values in anthropometry and biochemicals compared with patients with SLE. The liver profile of patients with MI was unhealthier, while no relevant differences were found in most of the inflammatory markers between groups. LEfSe analysis revealed an overrepresentation of Bifidobacteriaceae family in SLE group. An interactive association between gut Bifidobacterium abundance and type of disease was identified for FLI values, suggesting an effect modification of the gut microbiota concerning liver markers depending on the inflammatory condition.

Conclusion: This study found phenotypical and microbial similarities and disparities between these two inflammatory conditions, evidenced in clinical and hepatic markers, and showed the interactive interplay between gut Bifidobacterium and liver health (measured by FLI) that occur in a different manner depending on the type of inflammatory disease. These results underscore the importance of personalized approaches and individual microbiota in the screening of different inflammatory situations, considering unique hepatic and microbiota profiles.

The Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1, also CD66a), a transmembrane glycoprotein of the immunoglobulin superfamily, is a pivotal mediator of various physiological and pathological processes, including oncologic disorders. However, its precise role in tumorigenicity is contradictory discussed by several clinical studies. This review aims to elucidate the clinical significance of CEACAM1 in different cancer entities focusing on tumour formation, progression and metastasis as well as on CEACAM1-mediated treatment resistance. Furthermore, we discuss the contribution of CEACAM1 to cancer immunity and modulation of the inflammatory microenvironment and finally provide a comprehensive review of treatment regimens targeting this molecule.

Aim: The relationship between inflammatory status and poor outcomes in acute coronary syndromes is a significant area of current research. This study investigates the association between in-hospital mortality and the modified Naples prognostic score (mNPS) as well as other inflammatory biomarkers in STEMI patients.

Methods: This single-centre, cross-sectional study included 2576 consecutive STEMI patients who underwent primary percutaneous coronary intervention between January 2022 and November 2023. Participants were randomly divided into derivation and validation cohorts in a 6:4 ratio. The following inflammatory indices were calculated: pan-immune-inflammation value (PIV), systemic immune-inflammation-index (SII), systemic inflammation-response index (SIRI) and conventional NPS. The mNPS was derived by integrating hs-CRP into the conventional NPS. The performance of these indices in determining in-hospital mortality was assessed using regression, calibration, discrimination, reclassification and decision curve analyses.

Results: Inflammatory biomarkers, including PIV, SII, SIRI, NPS and mNPS, were significantly higher in patients who died during in-hospital follow-up compared to those discharged alive in both the derivation and validation cohorts. Multivariable logistic regression analyses were performed separately for the derivation and validation cohorts. In the derivation cohort, mNPS was associated with in-hospital mortality (aOR = 1.490, p < .001). Similarly, in the validation cohort, mNPS was associated with in-hospital mortality (aOR = 2.023, p < .001). mNPS demonstrated better discriminative and reclassification power than other inflammatory markers (p < .05 for all). Additionally, regression models incorporating mNPS were well-calibrated and showed net clinical benefit in both cohorts.

Conclusion: mNPS may be a stronger predictor of in-hospital mortality in STEMI patients compared to the conventional scheme and other inflammatory indices.

Background: Semaglutide, a glucagon-like peptide-1 (GLP-1) receptor agonist, is a widely used drug for the treatment of type 2 diabetes that offers significant cardiovascular benefits.

Results: This review systematically examines the proteomic and metabolomic indicators associated with the cardiovascular effects of semaglutide. A comprehensive literature search was conducted to identify relevant studies. The review utilizes advanced analytical technologies such as mass spectrometry and nuclear magnetic resonance (NMR) to investigate the molecular mechanisms underlying the effects of semaglutide on insulin secretion, weight control, anti-inflammatory activities and lipid metabolism. These "omics" approaches offer critical insights into metabolic changes associated with cardiovascular health. However, challenges remain such as individual variability in expression, the need for comprehensive validation and the integration of these data with clinical parameters. These issues need to be addressed through further research to refine these indicators and increase their clinical utility.

Conclusion: Future integration of proteomic and metabolomic data with artificial intelligence (AI) promises to improve prediction and monitoring of cardiovascular outcomes and may enable more accurate and effective management of cardiovascular health in patients with type 2 diabetes. This review highlights the transformative potential of integrating proteomics, metabolomics and AI to advance cardiovascular medicine and improve patient outcomes.

Background: Sodium-glucose co-transporter-2 inhibitors (SGLT2is) reduce cardiovascular risk in people with diabetes and established cardiovascular disease, but emerging studies in chronic kidney disease (CKD) have inconsistent results. In this systematic review, we evaluate the effects of SGLT2is on cardiovascular mortality in people with CKD as a whole and across subgroups stratified by baseline kidney function and among people at low, moderate, high and very high risk according to KDIGO- CKD classification system.

Methods: Literature search was conducted in PubMed/MEDLINE, Cochrane/CENTRAL, Scopus and Web of Science up to 30 November 2023. We included randomized controlled trials assessing the effect of SGLT2is on cardiovascular mortality in people with CKD. Secondary outcomes included all-cause mortality and major adverse cardiac events (MACE).

Results: Eleven studies (n = 83,203 participants) were included. In people with CKD, treatment with SGLT2is compared to placebo reduced the risk of cardiovascular death by 14% (hazard ratio [HR] .86; 95%CI .79-.94), all-cause death by 15% (HR .85; 95%CI .79-.91) and MACEs by 13% (HR .87; 95%CI .81-.93). A consistent treatment effect was observed across eGFR-subgroups (≥60 mL/min/1.73 m²: HR .82, 95%CI .65-1.02; <60 mL/min/1.73 m²: HR .86, 95%CI .77-.96, p-subgroup difference = .68) and KDIGO risk-categories (low, moderate, high and very high) (p-subgroup difference = .69) for cardiovascular death; reduction in the risk of all-cause death tended to be greater in the highest KDIGO risk categories. A consistent treatment effect on cardiovascular mortality was observed for different SGLT2is agents studied. Sensitivity analysis for cardiovascular mortality endpoint including studies in diabetic people yielded similar results (HR .86; 95%CI .77-.97).

Conclusions: Treatment with SGLT2is led to a significant reduction in the risk of cardiovascular and all-cause mortality in people with different CKD stages. These findings support the use of SGLT2is as an adjunct cardiovascular protective therapy in CKD.

Prospero registration number: PROSPERO registration number: CRD42022382863.