Asthmatic patients with high serum amyloid A have proinflammatory HDL: Implications for augmented systemic and airway inflammation.

RATIONALE: Serum amyloid A (SAA) is bound to high-density lipoproteins (HDL) in blood. Although SAA is increased in the blood of patients with asthma, it is not known whether this modifies asthma severity. OBJECTIVE: We sought to define the clinical characteristics of patients with asthma who have high SAA levels and assess whether HDL from SAA-high patients with asthma is proinflammatory. METHODS: SAA levels in serum from subjects with and without asthma were quantified by ELISA. HDLs isolated from subjects with asthma and high SAA levels were used to stimulate human monocytes and were intravenously administered to BALB/c mice. RESULTS: An SAA level greater than or equal to 108.8 µg/mL was defined as the threshold to identify 11% of an asthmatic cohort (n = 146) as being SAA-high. SAA-high patients with asthma were characterized by increased serum C-reactive protein, IL-6, and TNF-α; older age; and an increased prevalence of obesity and severe asthma. HDL isolated from SAA-high patients with asthma (SAA-high HDL) had an increased content of SAA as compared with HDL from SAA-low patients with asthma and induced the secretion of IL-6, IL-1ß, and TNF-α from human monocytes via a formyl peptide receptor 2/ATP/P2X purinoceptor 7 axis. Intravenous administration to mice of SAA-high HDL, but not normal HDL, induced systemic inflammation and amplified allergen-induced neutrophilic airway inflammation and goblet cell metaplasia. CONCLUSIONS: SAA-high patients with asthma are characterized by systemic inflammation, older age, and an increased prevalence of obesity and severe asthma. HDL from SAA-high patients with asthma is proinflammatory and, when intravenously administered to mice, induces systemic inflammation, and amplifies allergen-induced neutrophilic airway inflammation. This suggests that systemic inflammation induced by SAA-high HDL may augment disease severity in asthma.

The Potential of Eight Plasma Proteins as Biomarkers in Redefining Leptospirosis Diagnosis.

Leptospirosis, a notifiable endemic disease in Malaysia, has higher mortality rates than regional dengue fever. Diverse clinical symptoms and limited diagnostic methods complicate leptospirosis diagnosis. The demand for accurate biomarker-based diagnostics is increasing. This study investigated the plasma proteome of leptospirosis patients with leptospiraemia and seroconversion compared with dengue patients and healthy subjects using isobaric tags for relative and absolute quantitation (iTRAQ)-mass spectrometry (MS). The iTRAQ analysis identified a total of 450 proteins, which were refined to a list of 290 proteins through a series of exclusion criteria. Differential expression in the plasma proteome of leptospirosis patients compared to the control groups identified 11 proteins, which are apolipoprotein A-II (APOA2), C-reactive protein (CRP), fermitin family homolog 3 (FERMT3), leucine-rich alpha-2-glycoprotein 1 (LRG1), lipopolysaccharide-binding protein (LBP), myosin-9 (MYH9), platelet basic protein (PPBP), platelet factor 4 (PF4), profilin-1 (PFN1), serum amyloid A-1 protein (SAA1), and thrombospondin-1 (THBS1). Following a study on a verification cohort, a panel of eight plasma protein biomarkers was identified for potential leptospirosis diagnosis: CRP, LRG1, LBP, MYH9, PPBP, PF4, SAA1, and THBS1. In conclusion, a panel of eight protein biomarkers offers a promising approach for leptospirosis diagnosis, addressing the limitations of the "one disease, one biomarker" concept.

Multiplex Assay to Determine Acute Phase Proteins in Modified Live PRRSV Vaccinated Pigs.

Acute phase protein (APP) response to vaccine challenges is an attractive alternative to natural infection for identifying pigs with increased disease resilience and monitoring the productive performance. Currently, the methods used for APP quantification are diverse and often based on techniques that use antibodies that are not necessarily pig specific. The objective of this work is the development of a method based on a UPLC-SRM/MS system for simultaneous determination of haptoglobin, apolipoprotein A1, C-reactive protein, pig-major acute protein, and serum amyloid A and its application in pigs to monitor the effect of a vaccine administered against porcine reproductive and respiratory syndrome virus (PRRSV). With the aim of tracing the complete analytical process for each proteotypic peptide, a synthetic QconCat polypeptide construct was designed. It was possible to develop an SRM method including haptoglobin, apolipoprotein A1, pig-MAP, and serum amyloid A1. The PRRSV vaccine only affected haptoglobin. The pigs with positive viremia tended to show higher values than negative pigs, reaching significant differences in the three haptoglobin SRM-detected peptides but not with the data acquired by immunoenzymatic and spectrophotometric assays. These results open the door to the use of SRM to accurately monitor APP changes in experimental pigs.

Prognostic value of serum amyloid A protein as a biomarker in the diagnosis of 2019 novel coronavirus disease (COVID-19).

BACKGROUND: The current study aimed to evaluate the prognostic value of serum amyloid A protein)SAA(protein as a biomarker in diagnosing 2019 novel coronavirus disease)COVID-19(infection. METHODS: The study was conducted on 123 patients with definitive COVID-19 infection referred to Shahid Beheshti and Sina hospitals in Hamedan province, Iran. Five-milliliter blood samples were taken from all included patients and serum was isolated using a centrifuge at 10,000 rpm for 10 min. Laboratory tests were conducted, including c-reactive protein (CRP), Erythrocyte Sedimentation Rate (ESR), potassium level, sodium blood test, platelets (PLT), complete blood count (CBC), lymphocyte count, and neutrophil count. The SAA enzyme-linked immunosorbent assay (ELISA) Kit was applied to measure the SAA level in serum samples. RESULTS: 123 patients included 73 males and 50 females, age ±50. Sixty-six (53.7 %) patients had negative CRP while 80 (65 %) patients had normal ESR. Potassium levels were not normal among 111 (94.9 %) patients. Seventy-seven (63.1 %) patients had normal CBC, while 108 (87.8 %) patients had neutrophils above the normal range. 94 (97.9 %) patients over the age of 50 were positive for SAA. In terms of gender, men were the most frequent patients with SAA. There was a statistically significant relationship between the serum level of SAA and outcomes of patients with COVID-19 (p = 0.0001). 94 % of patients with SAA ≤50 were recovered from COVID-19 infection. The sensitivity rate of SAA compared to polymerase chain reaction (PCR) and computed tomography scan (CT scan) tests was 93 % and 99 %, respectively. Moreover, the accuracy of SAA compared to PCR and CT scan tests was 52 % and 96 %, respectively. CONCLUSION: Results indicate the SAA is a sensitive, but not specific biomarker in the early detection of COVID-19. The quantitative levels of SAA can be useful in predicting treatment outcomes among patients with COVID-19.

Amyloid A and lactic acid as a predictor in patients with sepsis in patients with liver cirrhosis.

BACKGROUND: Sepsis is triggered by pathogenic microorganisms, resulting in a systemic inflammatory response. Liver cirrhosis and sepsis create a vicious cycle: cirrhosis weakens immune function, raising infection risk and hindering pathogen clearance. Optimal treatment outcomes depend on understanding liver cirrhosis patients' sepsis risk factors. Thus, preventing sepsis involves addressing these risk factors. Therefore, early identification and understanding of clinical characteristics in liver cirrhosis patients with sepsis are crucial for selecting appropriate antibiotics. A case-control study using logistic regression was conducted to examine the prognostic value of amyloid A/lactate level monitoring in identifying sepsis risk factors in liver cirrhosis patients. METHODS: From March 2020 to March 2022, 136 liver cirrhosis patients treated at our hospital were divided into a sepsis group (n = 35) and a non-sepsis group (n = 101) based on sepsis complications. General clinical data were collected. Univariate analysis screened for liver cirrhosis patients' sepsis risk factors. Multivariate logistic analysis was subsequently employed to evaluate the risk factors. Sepsis patients were followed up for a month. Based on prognosis, patients were categorized into a poor prognosis group (n = 16) and a good prognosis group (n = 19). Serum amyloid A (SAA) and blood lactic acid (BLA) levels were compared between the two groups. The receiver operating characteristic (ROC) curve was used to evaluate the prognostic value of both individual and combined SAA/BLA monitoring. RESULTS: Patient data, including age, diabetes history, liver cancer, hepatic artery embolization, recent antibiotic use, invasive procedures within two weeks, APACHE II Scoring, ALB and SAA and BLA levels, were compared between the sepsis and non-sepsis groups, showing significant differences (P < 0.05). Logistic regression identified factors such as age ≥ 70, recent antibiotic use, recent invasive procedures, history of liver cancer, hepatic artery embolization history, high APACHE II scores, decreased albumin, and elevated SAA and BLA levels as independent sepsis risk factors in liver cirrhosis patients (P < 0.05). Among the 35 sepsis patients, 16 had a poor prognosis, representing an incidence rate of 45.71%. Serum SAA and BLA levels were significantly higher in the poor prognosis group than in the good prognosis group (P < 0.05). The AUC for serum SAA and BLA was 0.831 (95%CI: 0.738-0.924), 0.720 (95%CI: 0.600-0.840), and 0.909 (95%CI: 0.847-0.972), respectively. The combined diagnostic AUC was significantly higher than that of single factor predictions (P < 0.05). The predictive value ranked as follows: joint detection > SAA > BLA. CONCLUSION: In treating liver cirrhosis, prioritize patients with advanced age, a history of hepatic artery embolization, recent invasive operations, history of liver cancer, recent antibiotic exposure, high APACHE II scores and low albumin. Closely monitoring serum SAA and BLA levels in these patients can offer valuable insights for early clinical prevention and treatment.

Predictive values of serum amyloid A, toll-like receptor 4, and sTREM-1 for ventilator-associated pneumonia in elderly patients undergoing abdominal surgery with tracheal intubation and general anesthesia.

OBJECTIVES: This study aimed to conduct a retrospective study to identify inflammatory biomarkers for predicting ventilator-associated pneumonia in elderly patients. METHODS: Our retrospective study included 265 elderly patients (age ≥60 years) undergoing abdominal surgery with tracheal intubation and general anesthesia, with 93 experiencing varying degrees of ventilator-associated pneumonia during hospitalization, and 172 without. Serum concentrations of serum amyloid A (SAA), toll-like receptor 4 (TLR4), and soluble myeloid triggering receptor 1 (sTREM-1) were measured at 24 h post-operation using enzyme-linked immunosorbent assay. Comparisons of SAA, TLR4, and sTREM-1 and other risk factors at 24 h post-operation between elderly patients with and without ventilator-associated pneumonia were performed. RESULTS: The study revealed a 35.1% incidence of postoperative ventilator-associated pneumonia among elderly patients. Upregulations of SAA, TLR4, and sTREM-1 were observed in patients with ventilator-associated pneumonia. Chronic obstructive pulmonary disease, smoking, and tracheal intubation were identified as independent risk factors. The joint prediction model was demonstrated with superior predictive accuracy (area under the curve = 0.89) compared to individual biomarkers. Correlations with procalcitonin further supported the predictive potential of SAA, TLR4, and sTREM-1 in an inflammatory response. CONCLUSIONS: SAA, TLR4, and sTREM-1, particularly when combined, serve as valuable prognostic indicators for postoperative ventilator-associated pneumonia in elderly patients undergoing abdominal surgery with tracheal intubation and general anesthesia. The joint prediction model offered a promising tool for early risk assessment.

Influence of cardiorespiratory fitness on obesity-associated inflammation in women and men: The FATCOR study.

BACKGROUND AND AIMS: Cardiorespiratory fitness has been postulated to lower chronic inflammation in obesity. We assessed sex-specific associations of inflammation with cardiorespiratory fitness in overweight and obese persons. METHODS AND RESULTS: Peak oxygen uptake (VO2max) was measured by treadmill in 566 participants (age 48 ± 9 years, 60% women) with body mass index >27.0 kg/m2 in the FAT associated CardiOvasculaR dysfunction (FATCOR) study. Fitness was identified from age- and sex specific reference levels of VO2max. The inflammatory markers C-reactive protein (CRP), serum amyloid A (SAA), kynurenine:tryptophan ratio (KTR) and pyriodoxic acid ratio (PAr) were measured by mass spectrometry. In the total study population 63% had obesity and 74% were cardiorespiratory unfit. Unfit women had the highest fat percentage and the highest serum levels of CRP and SAA (p < 0.05). In multivariable linear regression analyses in women, higher CRP (ß -0.15, p = 0.001), SAA (ß -0.10, p = 0.03) and PAr (ß -0.09, p = 0.03) were associated with lower VO2max after adjusting for confounders. In multivariable analyses in men, higher PAr (ß -0.14, p = 0.02) was associated with lower VO2max. In multivariable analyses in obese women, higher CRP and PAr remained associated with lower VO2max (p < 0.05), while in obese men there was no significant association. When normalizing VO2max for fat-free mass (VO2maxFFM) higher CRP, SAA and PAr index were associated with lower VO2maxFFM in women, while only higher PAr index was associated with lower VO2maxFFM in men. CONCLUSION: The association of inflammation with lower cardiorespiratory fitness was more pronounced in women than men, in particular when obesity was present. CLINICAL TRIAL REGISTRATION: URL: http://www. CLINICALTRIALS: gov NCT02805478.

Identification of novel biomarkers of acute phase response in chickens challenged with Escherichia coli lipopolysaccharide endotoxin.

BACKGROUND: The chicken's inflammatory response is an essential part of the bird's response to infection. A single dose of Escherichia coli (E. coli) lipopolysaccharide (LPS) endotoxin can activate the acute phase response (APR) and lead to the production of acute phase proteins (APPs). In this study, the responses of established chicken APPs, Serum amyloid A (SAA) and Alpha-1-acid-glycoprotein (AGP), were compared to two novel APPs, Hemopexin (Hpx) and Extracellular fatty acid binding protein (Ex-FABP), in 15-day old broilers over a time course of 48 h post E.coli LPS challenge. We aimed to investigate and validate their role as biomarkers of an APR. Novel plant extracts, Citrus (CTS) and cucumber (CMB), were used as dietary supplements to investigate their ability to reduce the inflammatory response initiated by the endotoxin. RESULTS: A significant increase of established (SAA, AGP) and novel (Ex-FABP, Hpx) APPs was detected post E.coli LPS challenge. Extracellular fatty acid binding protein (Ex-FABP) showed a similar early response to SAA post LPS challenge by increasing ~ 20-fold at 12 h post challenge (P < 0.001). Hemopexin (Hpx) showed a later response by increasing ∼5-fold at 24 h post challenge (P < 0.001) with a similar trend to AGP. No differences in APP responses were identified between diets (CTS and CMB) using any of the established or novel biomarkers. CONCLUSIONS: Hpx and Ex-FABP were confirmed as potential biomarkers of APR in broilers when using an E. coli LPS model along with SAA and AGP. However, no clear advantage for using either of dietary supplements to modulate the APR was identified at the dosage used.

Analysis of the Relationship Between the Changes of Serum SAA, LP-PLA2, sCD40L and Carotid Atherosclerosis Plaque in Patients with Acute Cerebral Infarction.

Objective: To explore the relationship between Serum amyloid protein A(SAA), lipoprotein-associated Phospholipase A2 (Lp-PLA2) and soluble CD40 ligand (sCD40L) in detecting the stability of carotid Atherosclerosis plaque. Methods: We examined 90 patients admitted to our hospital with acute cerebral infarction from July 2020 to December 2022. Carotid artery ultrasounds were performed for all of them. These patients were then divided into two groups: the stable plaque group (45 cases) and the unstable plaque group (45 cases), based on the ultrasound results. Additionally, we included a control group of 30 healthy individuals from our hospital. We collected fasting blood samples from the patients upon admission and used enzyme-linked immunosorbent assays to measure the mass concentrations of sCD40L, Lp-PLA2, and SAA in their serum. The results of these biomarkers were compared and analyzed to assess potential associations with plaque stability in patients with cerebral infarction. Results: Comparison of general clinical data and laboratory data: except for High-density lipoprotein, there was a statistical difference between the control group and the cerebral infarction group (P < .05), there was no statistical difference in gender, smoking history, drinking history and age (P > .05). Compared with the control group, the mass concentrations of sCD40L, Lp-PLA2, and SAA in patients with stable and unstable plaques increased significantly (P < .05); Compared with the stable plaque group, the mass concentrations of sCD40L, Lp-PLA2, and SAA in unstable plaque patients increased with statistical significance (P < .05). Correlation analysis shows that the mass concentrations of sCD40L, Lp-PLA2, and SAA are positively correlated with the stability of carotid artery plaques. SCD40L, Lp-PLA2 and SAA have certain diagnostic significance in the subject's working characteristic curve (Receiver operating characteristic) as a marker molecule for the diagnosis of unstable plaque. sCD40L (AUC=0.883) has more diagnostic value than SAA (AUC=0.756) and Lp-PLA2 (AUC=0.826). A binary logistic regression analysis was conducted using the stability of carotid artery plaques as the dependent variable and sCD40L, Lp-PLA2, and SAA as independent variables. The results showed that elevated serum sCD40L, Lp-PLA2, and SAA were independent risk factors for unstable carotid artery plaques (P < .05). Conclusion: The concentrations of sCD40L, Lp-PLA2 and SAA are closely related to the formation and type of carotid Atherosclerosis plaque in patients with acute cerebral infarction. This has potentially important clinical implications for the management and prevention of cardiovascular disease.

[Related factors of euthyroid sick syndrome in patients with sepsis].

OBJECTIVE: To evaluate the prevalence of euthyroid sick syndrome (ESS) in sepsis patients and to explore its influencing factors. METHODS: In the study, 365 patients diagnosed with sepsis in the emergency critical care department of Shanghai First People's Hospital from January 2017 to January 2023 were retrospectively enrolled. The patients were divided into ESS and non-ESS groups based on whether the patients were complicated with ESS.Baseline variables and relevant clinical data of the enrolled patients were collected. The prevalence of ESS in sepsis patients and its influencing factors were evaluated by multivariate Logistic regression analysis, and the 30-day survival rates were compared between the two groups. The optimal cutoff value for free triiodothyronine (FT3) was explored to predict death in the patients with sepsis. RESULTS: There were 103 sepsis patients with ESS, accounting for 28.2% of the total cases. The severity of sepsis in ESS group was significantly higher than that in non-ESS group (P < 0.05). The acute physiology and chronic health evaluationⅡ(APACHEⅡ)score and sequential organ failure assessment (SOFA) score of ESS group were significantly higher than those of non-ESS group (P < 0.05). C-reactive protein (CRP), procalcitonin (PCT), serum amyloid A (SAA) and interleukin-6 (IL-6) in ESS group were higher than those in non-ESS group. total cholesterol(TC)and high-density liptein cholesterol(HDL-C)in ESS group were lower than those in non-ESS group, and the differences were statistically significant (P < 0.05).Multivariate Logistic regression analysis showed that PCT, IL-6, CRP, SAA and activated partial thromboplatin time (APTT) were independent risk factors for ESS in the sepsis patients (OR values were 1.105, 1.006, 1.005, 1.009 and 1.033, respectively; 95% CI were 1.044-1.170, 1.001-1.012, 1.001-1.009, 1.005-1.014, 1.004-1.062, respectively, P < 0.05).The 30-day survival rate in ESS group was significantly lower than that in non-ESS group, the Long-rank chi-square test value was 16.611, and the difference was statistically significant (P < 0.05).The receiver operation characteristic area under the curve (AUCROC)of FT3 predicted death in the patients with sepsis was 0.924 (95% CI 0.894-0.954). The serum FT3 cutoff point was 3.705 pmol/L, the specificity was 0.868, and the sensitivity was 0.950. CONCLUSION: In this study, the incidence of ESS in sepsis patients was determined to be 28.2% with poor prognosis. The results showed that PCT, IL-6, CRP, SAA and APTT were independent risk factors for ESS in sepsis patients, while HDL-C was a protective factor (P < 0.05). FT3 is a novel potential biomarker for predicting death in patients with sepsis.

ASSESSMENT OF ACUTE PHASE PROTEINS AND PROTEIN ELECTROPHORESIS IN HEALTHY GIBBONS (HYLOBATIDAE) IN MANAGED SETTINGS.

Acute phase proteins (APP) and protein electrophoresis (EPH) offer crucial insights into inflammation and overall health in various species. In this study, we validated serum amyloid A (SAA) and C-reactive protein (CRP) reagents for use with serum samples from gibbons (Hylobatidae, n = 50), spanning five species across four gibbon genera: eastern hoolock (Hoolock leuconedys), Javan (Hylobates moloch), pileated (Hylobates pileatus), siamang (Symphalangus syndactylus), and white-cheeked (Nomascus leucogenys). Preliminary reference intervals (n = 50) were calculated for SAA (1.8-48.1 mg/L), CRP (0.1-11.1 mg/L), and EPH via capillary zone electrophoresis, in healthy gibbons. Comparing clinically normal (n = 38) and abnormal (n = 12) individuals, significant differences were observed in the albumin/globulin ratio (P = 0.0003), prealbumin (P = 0.0345), and albumin (P = 0.0094), with abnormal individuals exhibiting statistically significantly higher γ-globulins (P = 0.0224), SAA (P = 0.0001), and CRP (P = 0.0003). Despite significant chromosomal rearrangements among different gibbon species, we found no statistically significant differences of SAA and CRP levels across species. However, some differences between species were observed in EPH fractions. This study presents the first report of the evaluation of APP and EPH in gibbons, underscoring the potential use of these biomarkers in gibbon health monitoring. Further research with larger sample sizes of both normal and abnormal gibbons is recommended to solidify the clinical utility of these biomarkers in these species.

[Application of serum SAA, CRP, PCT, WBC and N% in the diagnosis of neonatal septicemia].

To explore the application value of SAA (serum amyloid A), CRP (C reactive protein), PCT (procalcitonin), WBC (white blood cell) and N% (neutrophil %) in the diagnosis of neonatal septicemia. This study was a retrospective study. 173 children with clinically diagnosed septicemia and 66 children with definitely diagnosed septicemia admitted to the Department of Neonatology, the Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China,from January 2022 to January 2024 were selected as the case group, and 148 children with neonatal jaundice who were hospitalized during the same period were selected as the control group. Fasting venous blood was collected within 24 hours after the children's admission to detect the levels of serum WBC, N%, SAA, CRP and PCT. One-way analysis of variance and Kruskal-Wallis H test were used to compare the general data and inflammatory index levels of the three groups of children. The correlation analysis between SAA and other inflammatory indicators was conducted using Spearman correlation analysis. The receiver operating characteristic (ROC) curve was used to determine the diagnostic efficacy of different inflammatory indicators for patients with definitely diagnosed septicemia and those with clinically diagnosed septicemia, and for those with clinically diagnosed septicemia and those without infection. The results showed that the levels of WBC [(16.88±5.64)×109/L], N% [70.00 (63.00, 75.00)], PCT [2.22 (1.20, 5.55) mg/L], CRP [3.00 (0.50, 10.30) mg/L], SAA [19.70 (10.82, 49.90) mg/L] in the clinically diagnosed septicemia group and WBC [(16.10±7.48)×109/L], N% [73.50 (61.50, 80.93)], PCT [5.35 (0.69, 20.07) mg/L], CRP [15.52 (4.98, 30.50) mg/L], SAA [43.95 (14.00, 175.98) mg/L] in the definitely diagnosed septicemia group were all higher than those in the control group (11.17±3.38)×109/L, 49.81 (36.93, 62.75), 0.20 (0.07, 0.99) mg/L, 0.54 (0.20, 1.40) mg/L, 5.15 (3.60, 8.68) mg/L, and the differences were all statistically significant (all P<0.05). Spearman correlation analysis showed that the level of SAA was positively correlated with WBC, N%, PCT and CRP (rs=0.453, 0.540, 0.343, 0.550, all P<0.05). ROC curve analysis showed that the area under ROC curve(AUC) of SAA for the definitely diagnosed septicemia group and the clinically diagnosed septicemia group was higher than that of other inflammatory indicators, among them, the AUC of SAA for diagnosing the definitely diagnosed neonatal septicemia group was 0.933 (95%CI: 0.809-1.000, P<0.05), with a sensitivity of 92.90% and a specificity of 99.30%. The AUC of SAA for diagnosing the clinically diagnosed septicemia group was 0.861 (95%CI: 0.818-0.904, P<0.05), with a sensitivity of 83.20% and a specificity of 81.80%. In conclusion, compared with CRP, PCT, WBC and N%, SAA has higher sensitivity and specificity for distinguishing neonatal septicemia (including definitely diagnosed septicemia and clinically diagnosed septicemia), and has certain auxiliary diagnostic value for neonatal septicemia.

Immunological alterations in intracranial aneurysm: a prospective study on selected biomarker profiles in blood collected during endovascular neurointervention.

INTRODUCTION: Previous studies showed that the concentrations of selected chemokines are locally elevated in samples collected from the lumen of intracranial aneurysms (IA). Our objective was to determine whether the observed differences in analyte concentrations were influenced by the origin of the blood samples (i.e. cerebral versus peripheral), thus providing insight into the localised nature of these alterations and their significance in IA pathogenesis. MATERIAL AND METHODS: This prospective study included 24 patients with IA who underwent endovascular embolisation. Concentrations of selected analytes were analysed in blood samples from the IA lumen, feeding artery, and aorta. The analytes included MPO, Lipocalin-2/NGAL, sICAM-1, sVCAM-1, and serum amyloid A. RESULTS: Higher median plasma concentrations of MPO, lipocalin-2/NGAL, sVCAM-1, and SAA were found in samples obtained from the IA lumen and the feeding artery compared to the aorta. The concentration of sICAM-1 was significantly higher in the IA compared to the aorta, but did not differ between the proximal artery and the aorta. No significant differences in any analyte concentration were observed between the IA and the proximal artery. CONCLUSIONS: These findings suggest that the IA and the proximal vessel share similarities in the local immunological environment, which is different from that observed in the aorta. Further studies are needed to fully understand and elucidate these observations.

Comparison of the ELISA method with the nephelometric method for determination of serum amyloid A in patients with COVID 19.

This study aimed to examine the agreement of the serum amyloid A (SAA) values determined using the ELISA test and the nephelometric automated method. This study included 80 serum samples obtained from patients with COVID-19. Samples were determined using ELISA and the nephelometric method. Wilcoxon signed ranks test showed a statistically significant difference in the calculated median values (Z = -2.432, p = 0.015). The correlation between methods was statistically significant (r = 0.603, p < 0.0001). Bland Altman analysis showed a bias of 56.6 mg/L and a relative bias of 7.4% between the methods. The results of this study indicate that further studies are needed that will examine the compliance between the ELISA and the nephelometric method for determining SAA, and the results must be carefully interpreted based on the method used.

Clinical diagnostic value of IL-14, 1L-16 and SAA in periodontitis.

OBJECTIVES: Periodontitis is a chronic infectious disease, which leads to inflammatory destruction of periodontal supporting tissues. Interleukin 14 (IL-14), Interleukin 16 (IL-16) and serum amyloid A (SAA) have been demonstrated to be abnormally expressed in inflammatory diseases. Therefore, this study was performed to analyzed the expression and potential clinical values of IL-14, 1L-16 and SAA in periodontitis. MATERIALS AND METHODS: A total of 100 periodontitis patients and 100 healthy volunteers were recruited and the saliva and serum samples were collected. Then the C-reactive protein (CRP), procalcitonin (PCT), IL-14, 1L-16 and SAA levels in the saliva and serum of periodontitis patients were measured by Elisa kits. Besides, the significance of CRP, PCT, IL-14, 1L-16 and SAA in periodontitis patients were analyzed by receiver operating characteristic (ROC) analysis. RESULTS: The results showed that CRP, PCT, IL-14, 1L-16 and SAA levels were significantly increased in the the saliva and serum of the periodontitis patients. Additionally, the area under the curve (AUC) of saliva CRP, PCT, IL-14, 1L-16 and SAA for the diagnosis of periodontitis were 0.9035, 0.9435, 0.9508, 0.9500 and 0.9467, respectively. The AUC of serum CRP, PCT, IL-14, 1L-16 and SAA for the diagnosis of periodontitis were 0.9035, 0.9435, 0.9508, 0.9500 and 0.9467, respectively. What's more, the diagnostic value of IL-14, 1L-16 and SAA were enhanced when combining with CRP and PCT. CONCLUSION AND CLINICAL RELEVANCE: This study demonstrated that IL-14, IL-16 and SAA expressions were upregulated in periodontitis patients and exhibited a significant significance for periodontitis diagnosis.

Serum Amyloid A in Stable Patients with Chronic Obstructive Pulmonary Disease Does Not Reflect the Clinical Course of the Disease.

Serum amyloid A (SAA) is a good systemic marker of the exacerbations of chronic obstructive pulmonary disease (COPD), but the significance of SAA in stable patients with COPD has not been widely investigated. We aimed to evaluate the SAA level in peripheral blood from stable patients with COPD and to search for correlations between SAA and other inflammatory markers and clinical characteristics of the disease. Serum SAA, IL-6, IL-8, TNF-alpha, basic blood investigations, pulmonary function testing and a 6-min walk test were performed. The correlations between SAA and other inflammatory markers, functional performance and the number of disease exacerbations were evaluated. A total of 100 consecutive patients with COPD were analyzed. No correlations between SAA and inflammatory markers as well as pulmonary function were found. Hierarchical clustering identified two clusters incorporating SAA: one comprised SAA, PaO2 and FEV1 and the second was formed of SAA and nine other disease markers. The SAA level was higher in patients with blood eosinophils < 2% when compared to those with blood eosinophils ≥ 2% (41.8 (19.5-69.7) ng/mL vs. 18.9 (1.0-54.5) ng/mL, respectively, p = 0.04). We conclude that, in combination with other important disease features, SAA may be useful for patient evaluation in stable COPD.

AA amyloidosis without systemic inflammation: when clinical evidence validates predictions of experimental medicine.

Amyloid A (AA) amyloidosis is a well-known consequence of chronic inflammatory diseases in which elevated plasma concentrations of serum amyloid A result in amyloid aggregation and organ damage. In this issue, Sikora et al. report, for the first time, an inherited form of AA amyloidosis occurring in the absence of systemic inflammation. This finding may provide novel insights into the pathogenesis of AA amyloidosis, allowing researchers to further dissect the role of inflammation from that of serum amyloid A.

Ratio of serum amyloid A to C-reactive protein is constant in the same patients but differs greatly between patients with inflammatory diseases.

C-reactive protein (CRP) is commonly monitored to track the activity of inflammation and has become the gold standard in the management of all inflammatory diseases. Indeed, serum amyloid A (SAA) have seemed to correlate moderately with CRP, but the discrepancy of CRP and SAA levels has often been reported, especially in rheumatoid arthritis. Then, we examined CRP reflects a real magnitude of inflammation in patients with rheumatic and infectious inflammatory diseases. A total of 414 patients with infectious and non-infectious inflammatory diseases were enrolled. At initial visit, each patient underwent a clinical assessment and had also laboratory tests such as SAA and CRP. In each patient, we carried out a longitudinal analysis of CRP and SAA levels. We determined the inter-individual correlation between SAA and CRP and also clarified intra-individual changes of SAA/CRP ratio. SAA and CRP levels changed approximately linearly over time within individuals irrespective of rheumatic and infectious inflammatory diseases. However, SAA/CRP ratios differed dramatically between patients (from 0.117 to 50.8, median 5.71). In patients with high SAA/CRP ratio (>8.44), SAA is a better predictor of inflammation than CRP. In contrast, CRP is a better predictor in patients with low ratio (<3.52). Our results suggest that the SAA/CRP ratio differed greatly between individuals but was constant in intra-individuals. Low CRP levels could be accompanied by SAA levels predicting any degree of inflammation, implying that CRP is not reflecting a real magnitude of inflammation. To evaluate the real magnitude of inflammation, to access the SAA/CRP ratio in advance is essential.

Investigation of two different human d-dimer assays in the horse.

BACKGROUND: D-dimer has value as a marker of thrombosis in critically ill horses and can provide additional information about prognosis. However, there are currently no equine species-specific d-dimer assays available, nor has there been any formal investigation of the applicability of human d-dimer assays in horses, so it is unknown, which assay performs best in this species. The aim of this study was therefore to evaluate and compare two human d-dimer assays for their applicability in horses. The study included four groups of horses: clinically healthy horses, horses with gastrointestinal (GI) disease and mild systemic inflammation based on low serum amyloid A (SAA) (low SAA group), horses with GI disease and strong systemic inflammation based on high SAA (high SAA group) and, horses with thrombotic GI disease caused by Strongylus vulgaris (also called non-strangulating intestinal infarction (NSII)) (NSII group). The assays evaluated were the STAGO STA-Liatest D-di + (Stago) and NycoCard™ D-dimer (NycoCard). Intra- and inter-coefficients of variation (CV) were assessed on two d-dimer concentrations, and linearity under dilution was evaluated. A group comparison was performed for both assays across the four groups of horses. A Spaghetti plot, Spearman Correlation, Passing Bablok regression and Bland-Altman plot were used to compare methods in terms of agreement. RESULTS: Ten horses were included in the clinically healthy group, eight in the low SAA group, eight in the high SAA group, and seven in the NSII group. For the Stago assay, intra- and inter-CVs were below the accepted level except for one inter-CV. The NycoCard assay did not meet the accepted level for any of the CVs. The linearity under dilution was acceptable for both the Stago and NycoCard. In the group comparison, both methods detected a significantly higher d-dimer concentration in the high SAA and NSII groups compared to the clinically healthy group. Method agreement showed slightly higher d-dimer concentrations with NycoCard compared to Stago. The overall agreement was stronger for the lower d-dimer concentrations. CONCLUSION: Both the Stago and the NycoCard were found to be applicable for use in horses but were not directly comparable.