Sensitivity C-reactive Protein Research Articles

P0326 Environmental factors, genetic predisposition and subclinical inflammation in the development of perinuclear-antineutrophil cytoplasmic antibody (P-ANCA)-positive ulcerative colitis: A European twin study

Abstract Background Perinuclear-antineutrophil cytoplasmic antibodies (P-ANCAs) have been identified in familial ulcerative colitis (UC), but the precise mechanism underlying their expression remains elusive. We assessed the role of genetic predisposition, environmental factors and systemic subclinical inflammation in the development of P-ANCA in a twin cohort with UC. Methods A total of 48 twin pairs (Leuven, Belgium n=4, Maastricht, The Netherlands n=6 and Örebro, Sweden n=38) with UC were included. Among these, 18 were monozygotic (3 concordant and 15 discordant for UC) and 30 were dizygotic (1 concordant and 29 discordant for UC). P-ANCA was detected through standardised ELISA, an indirect immunofluorescence assay and DNase treatment. In addition to high sensitivity C-reactive protein (hs-CRP), 92 inflammatory protein markers were measured in serum by proximity extension assay (Olink proteomics). Results P-ANCA was present in 16/52 (31%) of UC twins vs. 4/44 (9%) healthy twin siblings (p=0.01). No agreement in the presence of P-ANCA or their levels was observed between twin siblings in monozygotic pairs discordant for UC [intraclass correlation coefficient (ICC)=0.09] or dizygotic pairs (ICC=-0.20). Female sex was associated with an increased likelihood of P-ANCA (odds ratio, OR 5.49; 95% confidence interval, CI 1.47-20.57) and higher ANCA levels (ratio of geometric means 1.80; 95% CI 1.12-2.88). Active smoking was associated with lower concentrations of ANCA (ratio of geometric means 0.33; 95% CI 0.15-0.75) and potentially reduced the likelihood of P-ANCA (OR 0.23; 95% CI 0.02-2.21) in twins with UC but not in their healthy siblings. In twin siblings without UC, significant correlations between ANCA levels and hs-CRP, CDCP1, IL17A, CXCL9 and IL5 (correlation coefficients 0.36-0.41, p-values <0.05) were observed. Conclusion Female sex and tobacco smoking outweighed genetics regarding the generation and levels of P-ANCA and ANCA antibodies. The correlations between ANCA levels and inflammatory markers in healthy twin siblings suggest that P-ANCA may result from subclinical inflammation in these healthy siblings.

Association between Mediterranean diet and metabolic health status among adults was not mediated through serum adropin levels

BackgroundPrevalence of metabolic disorders has been increased in recent years around the world. The relationship between Mediterranean diet (MD) with metabolic health status and serum adropin levels has been less examined in Iranian adults. We investigated the association between MD compliance with metabolic health status and adropin hormone in Iranian adults.MethodsThis observational study was conducted on 527 men and women. Food intakes were evaluated by a validated food frequency questionnaire. Blood pressure and anthropometric parameters were measured. Fasting blood samples were drawn to measure serum adropin concentrations, blood glucose, triglycerides, high-density lipoprotein cholesterol, high sensitive C-reactive protein and insulin. Metabolic unhealthy (MU) status was defined as having ≥ 2 cardio-metabolic risk factors.ResultsAfter adjustments for potential confounders, subjects in highest versus lowest tertile of MD had 52% lower odds of MU status (OR = 0.48, 95%CI: 0.23–0.97). Stratified analysis revealed a significant association in normal-weight participants (OR = 0.12; 95%CI: 0.02–0.64), but not in those with overweight/obesity (OR = 0.66, 95%CI: 0.27–1.57). By excluding each component of MD, the association disappeared, except for three components (vegetables, nuts and grains). MD adherence was not significantly related to serum adropin levels in multivariable-adjusted model (unstandardized B= -0.19, 95%CI: -4.97, 4.59; P = 0.94). Serum adropin hormone levels were also not substantially different among metabolic healthy versus unhealthy subjects (P = 0.66).ConclusionsThis cross-sectional study showed an inverse association between adherence to MD and odds of MU status, especially in subjects with normal-weight. Serum adropin concentrations were not associated with MD adherence or metabolic health status.

The Effect of Prebiotics, Alone or as Part of Synbiotics, on Cardiometabolic Parameters in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Background/Objectives: This systematic review and meta-analysis aimed to investigate the effect of prebiotics, alone or as part of synbiotics, on cardiometabolic parameters in polycystic ovary syndrome (PCOS) women. Methods: Databases, including PubMed, Scopus, ISI Web of Science, Embase, and the Cochrane Central Register of Controlled Trials, were searched for relevant randomized-controlled trials (RCTs) until 12 December 2024. Changes in mean ± standard deviations were extracted and combined using a random-effects model. Bias was assessed using Cochrane risk of bias and evidence quality with GRADE. Results: Twenty RCTs with 1271 participants were included. Results showed high-quality evidence supporting prebiotics' effects, alone or as part of synbiotics, in reducing body-mass index [n = 853; weighted-mean difference (WMD): -0.510, 95%CI: -0.669, -0.351 kg/m2] and diastolic blood pressure (WMD: -2.218, 95%CI: -4.425, -0.010 mmHg), moderate-quality evidence for weight, waist-to-hip ratio, and triglycerides improvements, and low or very-low-quality evidence for waist circumference (WC), fat mass, fasting plasma glucose, fasting insulin, low-density lipoprotein (LDL), total cholesterol (TC), high sensitive-C reactive protein, total testosterone, follicle-stimulating hormone and free androgen index improvements. Subgroup analyses revealed possible reduction in LDL with prebiotics, as well as possible decreases in WC, TC, and total testosterone with synbiotics. Dietary approaches to stop hypertension diet improved insulin sensitivity. Conclusions: This study suggests that prebiotics may beneficially affect several cardiometabolic parameters in PCOS women. Approximately one-third of the results were based on moderate-to-high-quality evidence. This study highlights the need for future well-designed, larger RCTs with longer treatment duration to strengthen the evidence base and guide clinical decision-making.

Elevated High Sensitivity C-Reactive Protein and Risk of Abdominal Aortic Aneurysm: A Prospective Population Based Study in The Norwegian HUNT Study.

Inflammation seems to be crucial in the pathogenesis of abdominal aortic aneurysm (AAA). Previous research links inflammatory biomarkers, such as high sensitivity C-reactive protein (HS-CRP), to AAA. Few studies, however, have used a prospective design. The aim of this study was to examine whether individuals with elevated HS-CRP have increased risk of AAA, using a prospective and population based design. This prospective, population based, cohort study included 46 322 participants in the Trøndelag Health Study (HUNT) in Norway (53.7% women). During a median follow up time of 12.6 years (range 0 - 26 years), 407 individuals were diagnosed with AAA (28.8% women). Cox proportional hazard regression was applied to examine associations between HS-CRP and risk of AAA. HS-CRP was treated either as a continuous or a categorical variable (dichotomised at 2 mg/L, 1 mg/L, median (1.2 mg/L), or as quartiles). The hazard ratio (HR) of developing AAA per 1 mg/L increase in HS-CRP (continuous HS-CRP) was 1.02 (95% CI 1.01 - 1.03) in the analysis adjusted for smoking, coronary heart disease, hypertension, diabetes, body mass index, and total cholesterol. Individuals with HS-CRP 2 mg/L or above had almost twice the risk of AAA compared with individuals with HS-CRP less than 2 mg/L (adjusted HR 1.84; 95% CI 1.51 - 2.25). Dichotomising HS-CRP at a clinical cut off point of 1 mg/L (adjusted HR 2.13, 95% CI 1.64 -2.76), or at the median of 1.2 mg/L (adjusted HR 2.12, 95% CI 1.62 - 2.76), slightly strengthened the HR. The adjusted HR gradually increased through the ordered HS-CRP quartiles, and was almost four times higher (HR 3.87, 95% CI 2.54 - 5.92) in the highest HS-CRP quartile (HS-CRP > 2.7 mg/L) compared with the lowest quartile (HS-CRP ≤ 0.6 mg/L). Individuals with elevated HS-CRP had significantly increased risk of developing AAA.

High Sensitivity C-reactive Protein: A New Screening Tool for Abdominal Aortic Aneurysm?

High Sensitivity C-reactive Protein: A New Screening Tool for Abdominal Aortic Aneurysm?

Effect of hybrid blood purification on nutritional status, inflammation, and cardiovascular events in patients with end-stage renal disease.

To explore the effects of hybrid blood purification on nutritional status and cardiovascular events in patients with end-stage renal disease (ESRD). A total of 135 patients with ESRD who received treatment in The Affiliated Nanhua Hospital of Hengyang Medical School from March 2021 to June 2023 were included in this retrospective study. Of them, 66 patients were treated with hemodialysis purification (hemodialysis group), and 69 patients underwent hybrid blood purification (hybrid group). Renal function status, inflammatory cytokine levels, nutritional status, and incidence of cardiovascular events in two groups were compared. After the treatment, levels of urea nitrogen and blood creatinine in both groups decreased compared to before the treatment, and was significantly lower in the hybrid group compared to the hemodialysis group (P<0.05). Serum levels of interleukin 6 (IL-6), high sensitivity C-reactive protein (hs-CRP), and tumor necrosis factor α (TNF-α) in both groups decreased compared to before the treatment, and were significantly lower in the hybrid group (P<0.05). Levels of hemoglobin (Hb), albumin (Alb), and serum ferritin (SF) in both groups increased compared to pretreatment levels, and were significantly higher in the hybrid group (P<0.05). The incidence of cardiovascular events in the hybrid group (2.90%) was lower than that in the hemodialysis group (11.59%) (P<0.05). Hybrid blood purification can improve nutritional status and renal function of patients with ESRD, downregulate the expression of inflammatory factors, reduce the degree of inflammatory response, and reduce the risk of cardiovascular events.

Effect of long term treatment with antiepileptic drugs on carotid intima-media thickness as an indicator of atherosclerosis

Purpose: The aim of current study was to investigate the possible relation between antiepileptic drugs (AEDs) and atheosclerotic risk factors and carotid intima media thickness (IMT) as a marker of atherosclerosis. Materials and Methods: Ninety-two patients, who had used carbamazepine (CBZ) and valproic acid (VPA) for three or more years and who had used a second AED (polytherapy) for two years in addition to CBZ or VPA monotherapy, were included in the study. The control group was composed of 31subjects with similiar demographics. Fasting blood glucose, liver and renal function tests, lipid profile, homocysteine, serum high sensitivity C-Reactive Protein (Hs-CRP), uric acid (UA), lipoprotein (a) (Lp (a)), folate and vitamine B12 levels were examined in both groups. Results: Homocysteine levels were higher in the VPA, CBZ and politherapy groups compared to the control group. UA levels were higher in the VPA monotherapy group when compared to the CBZ monotherapy and polytherapy group. In the CBZ monotherapy group, Hs-CRP levels were higher than in the VPA monotherapy, polytherapy and control groups. Total cholesterol levels were higher in the CBZ monotherapy group when compared to the VPA monotherapy and control groups. Conclusion: The findings showed no correlation between IMT values and duration of disease, duration of drug usage and dose, which suggests that long-term AED usage does not increase the development of atherosclerosis.

Predicting Heart Rate at the Anaerobic Threshold Using a Machine Learning Model Based on a Large-Scale Population Dataset.

Background/Objectives: For effective exercise prescription for patients with cardiovascular disease, it is important to determine the target heart rate at the level of the anaerobic threshold (AT-HR). The AT-HR is mainly determined by cardiopulmonary exercise testing (CPET). The aim of this study is to develop a machine learning (ML) model to predict the AT-HR solely from non-exercise clinical features. Methods: From consecutive 21,482 cases of CPET between 2 February 2008 and 1 December 2021, an appropriate subset was selected to train our ML model. Data consisted of 78 features, including age, sex, anthropometry, clinical diagnosis, cardiovascular risk factors, vital signs, blood tests, and echocardiography. We predicted the AT-HR using a ML method called gradient boosting, along with a rank of each feature in terms of its contribution to AT-HR prediction. The accuracy was evaluated by comparing the predicted AT-HR with the target HRs from guideline-recommended equations in terms of the mean absolute error (MAE). Results: A total of 8228 participants included healthy individuals and patients with cardiovascular disease and were 62 ± 15 years in mean age (69% male). The MAE of the AT-HR by the ML-based model was 7.7 ± 0.2 bpm, which was significantly smaller than those of the guideline-recommended equations; the results using Karvonen formulas with the coefficients 0.7 and 0.4 were 34.5 ± 0.3 bpm and 11.9 ± 0.2 bpm, respectively, and the results using simpler formulas, rest HR + 10 and +20 bpm, were 15.9 ± 0.3 and 9.7 ± 0.2 bpm, respectively. The feature ranking method revealed that the features that make a significant contribution to AT-HR prediction include the resting heart rate, age, N-terminal pro-brain natriuretic peptide (NT-proBNP), resting systolic blood pressure, highly sensitive C-reactive protein (hsCRP), cardiovascular disease diagnosis, and β-blockers, in that order. Prediction accuracy with the top 10 to 20 features was comparable to that with all features. Conclusions: An accurate prediction model of the AT-HR from non-exercise clinical features was proposed. We expect that it will facilitate performing cardiac rehabilitation. The feature selection technique newly unveiled some major determinants of AT-HR, such as NT-proBNP and hsCRP.

Biochemical Changes and Plasma Level of Lipoprotein-Associated Phospholipase A2 in Patients with and without Coronary Artery Disease: A Cross-Sectional Study

Coronary artery disease (CAD) is the leading cause of death worldwide. the aim of study is to evaluate the association between plasma lipoprotein-associated phospholipase A2 (Lp-PLA2) and the clinical and biochemical risk factors for CAD among Libyan individuals. This cross-sectional study to evaluate plasma concentration of Lp-PLA2 between patients with CAD and those without CAD in both genders based on clinical history, exercise ECG, two-dimensional echocardiography, and coronary angiography. Several biochemical parameters were estimated. Plasma levels of Lp-PLA2 were measured. A total of 181 individuals were recruited for this study, involving 125 with CAD and 56 without CAD. Plasma Lp-PLA2 concentration was significantly higher in patients with CAD versus individuals without coronary artery disease. In addition, the plasma concentration of Lp-PLA2 was higher in patients &gt;60 years of age compared with patients &lt;60 years old. To conclude that Plasma level of Lp-PLA2 concentration was independently correlated with CAD, inflammatory marker such as high sensitivity C-reactive protein among Libyan patients.

An expert consensus statement on biomarkers of ageing for use in intervention studies.

Biomarkers of ageing serve as important outcome measures in longevity-promoting interventions. However, there is limited consensus on which specific biomarkers are most appropriate for human intervention studies. This work aimed to address this need by establishing an expert consensus on biomarkers of ageing for use in intervention studies via the Delphi method. A three-round Delphi study was conducted using an online platform. In Round 1, expert panel members provided suggestions for candidate biomarkers of ageing. In Rounds 2 and 3, they voted on 500 initial statements (yes/no) relating to 20 biomarkers of ageing. Panel members could abstain from voting on biomarkers outside their expertise. Consensus was reached when there was ≥70% agreement on a statement/biomarker. Of the 460 international panel members invited to participate, 116 completed Round 1, 87 completed Round 2, and 60 completed Round 3. Across the 3 rounds, 14 biomarkers met consensus that spanned physiological (e.g., insulin-like growth factor 1, growth-differentiating factor-15), inflammatory (e.g., high sensitivity c-reactive protein, interleukin-6), functional (e.g., muscle mass, muscle strength, hand grip strength, Timed-Up-and-Go, gait speed, standing balance test, frailty index, cognitive health, blood pressure), and epigenetic (e.g., DNA methylation/epigenetic clocks) domains. Expert consensus identified 14 potential biomarkers of ageing which may be used as outcome measures in intervention studies. Future ageing research should identify which combination of these biomarkers has the greatest utility.

High Sensitivity C-Reactive Protein Level in Children with Congenital Heart Disease: A Single Center Study

High Sensitivity C-Reactive Protein Level in Children with Congenital Heart Disease: A Single Center Study

Metabolic phenotype and risk of obesity-related cancers in the Women's Health Initiative.

Body mass index (BMI) may misclassify obesity-related cancer (ORC) risk, as metabolic dysfunction can occur across BMI levels. We hypothesized that metabolic dysfunction at any BMI increases ORC risk compared to normal BMI without metabolic dysfunction. Postmenopausal women (n=20,593) in the Women's Health Initiative with baseline metabolic dysfunction biomarkers (blood pressure, fasting triglycerides, high-density lipoprotein-cholesterol, fasting glucose, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) and high sensitive C-reactive protein (hs-CRP)) were included. Metabolic phenotype (metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), metabolically healthy overweight/obese (MHO), metabolically unhealthy overweight/obese (MUO)) was classified using four definitions of metabolic dysfunction: (1) Wildman criteria, (2) National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III), (3) HOMA-IR, and (4) hs-CRP. Multivariable Cox proportional hazards regression, with death as a competing risk, was used to assess the association between metabolic phenotype and ORC risk. After a median (IQR) follow-up duration of 21 (IQR 15-22) years, 2,367 women developed an ORC. The risk of any ORC was elevated among MUNW (HR 1.12, 95% CI: 0.90-1.39), MHO (HR 1.15, 95% CI: 1.00-1.32), and MUO (HR 1.35, 95% CI: 1.18-1.54) compared with MHNW using Wildman criteria. Results were similar using ATP III criteria, hs-CRP alone, or HOMA-IR alone to define metabolic phenotype. Individuals with overweight or obesity with or without metabolic dysfunction were at higher risk of ORCs compared with metabolically healthy normal weight individuals. The magnitude of risk was greater among those with metabolic dysfunction, although the confidence intervals of each category overlapped.

Effects of postoperative glucocorticoids on mitigation of organ dysfunction in patients with type A aortic dissection: a randomized controlled trial.

This study aims to evaluate the organ-protective efficacy of postoperative glucocorticoid in patients with type A aortic dissection. Postoperative type A aortic dissection patients were randomly allocated to receive either postoperative glucocorticoid or standard-of-care treatment. Intravenous methylprednisolone was administered for 3 days. The primary outcome was the reduction of Sequential Organ Failure Assessment score on postoperative day 4 compared to baseline (on postoperative day 1 before methylprednisolone administration). Two hundred twelve patients were included in the intention-to-treat analysis. The primary outcome was significantly different between groups: 3.16 ± 2.52 in the control group versus 4.36 ± 2.82 in the glucocorticoid group (absolute difference 1.20 [95% CI 0.52-1.93], P = 0.001). The glucocorticoid group showed markedly lower median high-sensitivity C-reactive protein levels compared to the control group (91.0 mg/l vs 182.0 mg/l; absolute difference: -91 (95% CI -122 to -57), P = 0.009) on postoperative day 4. Fewer patients in the glucocorticoid group required continuous renal replacement therapy (8.5% vs 19.8% in the control group; absolute difference: -10.4 [95% CI -19.1 to -1.3], P = 0.03). This trial demonstrates that postoperative glucocorticoid in patients with type A aortic dissection significantly reduces postoperative inflammation and improves recovery of early organ dysfunction. These findings advocate for the implementation of glucocorticoid in the early phase after surgery for enhanced organ protection.

Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression

High-sensitivity C-reactive protein (hs-CRP) is a biomarker of inflammation predicting the incidence of different health pathologies. In this study, we aimed to evaluate the association between hematological and demographic factors with hs-CRP levels using decision tree (DT) and linear regression (LR) modeling. This study was conducted on a population of 9704 males and females aged 35 to 65 years recruited from the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) cohort study. We utilized a data mining approach to construct a predictive model of hs-CRP measurements, employing the DT methodology. DT model was used to predict hs-CRP level using biochemical factors and clinical features. A total of 9,704 individuals were included in the analysis, with 57% of them being female. Except for fasting blood glucose (FBG), hypertension (HTN), and Type 2 diabetes mellites (T2DM), all variables showed significant differences between the two groups. The results of the LR models showed that variables such as anxiety score, depression score, Systolic Blood Pressure, Cardiovascular disease, and HTN were significant in predicting hs-CRP levels. In the DT models, depression score, FBG, cholesterol, and anxiety score were identified as the most important factors in predicting hs-CRP levels. DT model was able to predict hs-CRP level with an accuracy of 72.1% in training and 71.4% in testing of both genders. The proposed DT model appears to be able to predict the hs-CRP levels based on anxiety score, depression scores, fasting blood glucose, systolic blood pressure, and history of cardiovascular diseases.

Assessing the utility of epigenetic clocks for health prediction in South Korean.

Epigenetic clocks have been developed to track both chronological age and biological age, which is defined by physiological biomarkers and the risk of adverse health outcomes. Epigenetic age acceleration (EAA) has been found to predict various diseases, aging-related factors, and mortality. However, epigenetic clocks have predominantly been developed with individuals of European or Hispanic ancestry, and their association with health outcomes and environmental factors has not been sufficiently assessed in East Asian populations. Here, we investigated nine epigenetic clocks: five trained on chronological age (first-generation) and four on biological age (second-generation), using DNA methylation data from blood samples of South Koreans. EAAs of second-generation epigenetic clocks reflected the risk of chronic diseases (type 2 diabetes and hypertension), levels of health-related blood markers (alanine aminotransferase, aspartate aminotransferase, high density lipoprotein, triglyceride, and high sensitivity C-reactive protein), and lung functions (percentage of predicted FEV1 and percentage of predicted FVC), while EAAs of first generation clocks did not. Using follow-up data, we also found that EAAs of second-generation clocks were associated with the time to onset risks of chronic diseases. Health behavior factors (drinking, smoking, exercise, body mass index, and waist-hip ratio), socioeconomic status (income level and educational attainment), and psychosocial status were associated with EAAs of second-generation clocks, while only smoking status was associated with EAAs of first-generation clocks. We conducted validation analyses in an independent South Korean cohort and replicated the association of EAAs with health outcomes and environmental factors. Age acceleration of epigenetic clocks is influenced by various environmental factors and can serve as an effective predictor of health in South Korea.

Association of high sensitivity C-reactive protein in young myocardial patients with colchicine treatment

Association of high sensitivity C-reactive protein in young myocardial patients with colchicine treatment

Predictive Factors and Nomogram for Spontaneous Bacterial Peritonitis in Decompensated Cirrhosis Among the Elderly.

Spontaneous bacterial peritonitis (SBP) represents a significant complication in the decompensated phase of cirrhosis. The challenges in treating SBP and the associated mortality rates are markedly elevated in elderly individuals. Timely detection and intervention for SBP are imperative. We aimed to develop a predictive tool for the occurrence of SBP in elderly individuals with decompensated cirrhosis (DC). Elderly patients diagnosed with DC were enrolled from Chengdu Fifth People's Hospital in China, spanning from January 1, 2015, to September 31, 2023. Among the patients, 337 were assigned to the training cohort, while 145 were designated to the validation cohort. A multivariate logistic regression analysis was performed to identify significant predictors and to develop a nomogram for predicting the occurrence of SBP. To evaluate the model's discrimination and calibration, a bootstrap method with 1000 resamples was utilized. Findings from the multivariate logistic regression analysis indicated that constipation (odds ratio [OR] 2.09, 95% confidence interval [CI] 1.25-3.49, P=0.005), ascites (OR 2.84, 95% CI 1.64-4.92, P<0.001), Child-Pugh-Turcotte (CPT) score (OR 4.80, 95% CI 1.69-13.60, P=0.003), and high sensitivity C-reactive protein (hs-CRP) (OR 2.96, 95% CI 1.54-5.45, P=0.001) were significant independent predictors for the occurrence of SBP in elderly individuals with DC. The generated nomogram showed an area under the curve of 0.779 for the training cohort and 0.817 for the validation cohort. The nomogram's calibration curve nearly matched the perfect diagonal line, and decision curve analysis showed an improved net benefit for the model. Subsequent validation further corroborated the reliability of the predictive nomogram. In conclusion, the nomogram, incorporating variables such as constipation, ascites, CPT score, and hs-CRP, effectively predicted the occurrence of SBP in elderly patients with DC, underscoring its substantial clinical applicability.

Study on the Expression and Potential Function of LncRNA in Peripheral Blood of Patients with Ankylosing Spondylitis.

Ankylosing spondylitis (AS) is an autoimmune disease that has the characteristics of difficult early diagnosis and a high disability rate. The objective of this study was to further explore the possible mechanism and potential function of lncRNA in AS. We used lncRNA microarray technology to detect the expression of lncRNA and mRNA in patients with active AS, stable patients, and healthy controls (HC). Afterward, bioinformatics analysis was conducted on differentially expressed genes. Seven differentially expressed lncRNAs were screened out for real-time fluorescent quantitative PCR (RT-qPCR), combined with various clinical indicators for correlation analysis, and the receiver operating characteristic (ROC) curve was used to analyze the potential of lncRNA as a diagnostic marker for AS. The results showed that the expression levels of NR-037662 and ENST00000599316 in the AS subgroups were significantly higher than those in the HC group, while the expression levels of ENST00000577914 and ENST00000579003 were lower than those in the HC group. The expression levels of NR-003542 and ENST00000512051 in the ASA group were significantly higher than those in the ASS and HC groups, while NR-026756 was just the opposite. Spearman's correlation analysis showed that the expression level of NR-003542 was positively correlated with Bath Ankylosing Spondylitis Functional Index (BASFI), Erythrocyte Sedimentation Rate (ESR), and high sensitivity C-Reactive Protein (hsCRP). The expression level of NR-026756 was negatively correlated with the Bath Ankylosing Spine Inflammatory Disease Activity Index (BASDAI), BASFI, ESR, hsCRP, and globulin (GLOB). In addition, it was also found that the ROC curve analysis of the 4 lncRNAs between the AS group (ASA group and ASS group) and the HC group were statistically significant, and the area under the curve (AUC) of NR-037662, ENST00000599316, ENST00000577914, and ENST00000579003 was 0.804, 0.812, 0.706, and 0.698, respectively. It was found that these differentially expressed lncRNAs of AS may be involved in the occurrence and development of the disease. Among them, NR-037662, ENST00000599316, ENST00000577914, and ENST00000579003 might have the potential to become AS diagnostic molecular markers. Moreover, NR -003542, ENST00000512051, and NR-026756 might have the potential to be indicators of disease activity.

Effect of high sensitivity C-reactive protein on uric acid-related cardiometabolic risk in patients with coronary artery disease—a large multicenter prospective study

Although serum uric acid (SUA) is a risk factor for cardiometabolic outcome, but it remains unclear which patients with coronary artery disease (CAD) benefit the most from SUA lowering therapy (ULT). The association of SUA level, systemic inflammation and cardiometabolic risk is still unclear. The current study is aimed to examine whether SUA-associated cardiometabolic risk is modulated by systemic inflammation in CAD patients. A total of 16,598 CAD patients with baseline high-sensitivity C-Reactive Protein (hsCRP) and SUA available were included. Baseline and follow-up data were collected. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), including death, myocardial infarction and stroke. In patients with hsCRP ≥ 2 mg/L, increasing quintiles of SUA were significantly associated with increased rates of 2-year MACCE (adjusted p < 0.001 for trend, p = 0.037 for interaction). Each unit increase in SUA levels was associated with a 11.3% increased risk of MACCE (adjusted p < 0.001, p = 0.002 for interaction). However, in patients with hsCRP < 2 mg/L, increasing quintiles of SUA were not associated with increased MACCE (adjusted p = 0.120). Elevated SUA levels are related to MACCE when hsCRP levels are 2 mg/L or more but not less than 2 mg/L. This finding suggests a potential benefit of combined ULT and anti-inflammation therapy in patients with hyperuricemia and greater systemic inflammation.

Circulating inflammatory proteins are elevated in type 1 and type 2 diabetes and associated to complications.

The presence of low-grade inflammation has been reported in people with type 2 diabetes and related to the development of (macro)vascular complications. Whether systemic inflammation is present in type 1 diabetes and linked to long-term complications remains unknown. We used a targeted proteomics approach to compare inflammation in people with type 1 diabetes and type 2 diabetes with control subjects and linked these proteins to diabetes related characteristics and complications. We included 233 participants with type 1 diabetes, 387 participants with type 2 diabetes and 150 healthy controls. Plasma was collected and used to determine high sensitive C-reactive proteins (hs-CRP) and an additional 92 inflammatory proteins using the Olink proteomics platform. Compared to healthy controls, 41 circulating inflammatory proteins were higher in type 1 diabetes (FDR < 0.05) and 64 inflammatory proteins in type 2 diabetes (FDR < 0.05) (including CXCL5, IL-15RA, MCP-4 and AXIN1 for both groups). HbA1c levels were positively associated with 21 inflammatory proteins (including CDCP1, FGF-21, HGF and IL-18R1) in type 1 diabetes (FDR < 0.05), whereas a positive association existed between body mass index (BMI) and 26 inflammatory proteins (including IL6, IL17C, FGF-23 and CSF-1) in type 2 diabetes. Inflammatory proteins associated with the presences, of complications, particularly nephropathy, were similar in both type 1 and type 2 diabetes. FlT3L and EN-RAGE were associated with the development of cardiovascular disease (CVD) in type 2 diabetes. Both type 1 diabetes and type 2 diabetes are associated with increased circulating inflammatory protein concentrations, but the increase is more pronounced in type 2 diabetes. These results suggest both differences in drivers of inflammation between type 1 diabetes and type 2 diabetes as well as potential similarities in pathways involved in the development of diabetes-associated complications.