Currently, the diagnosis of acute graft-versus-host disease (aGVHD) is mainly based on clinical symptoms and biopsy results. This study was designed to further explore new no noninvasive biomarkers for aGVHD prediction/diagnosis. We profiled miRNAs in serum pools from patients with aGVHD (grades II-IV) (n = 9) and non-aGVHD controls (n = 9) by real-time qPCR-based TaqMan MicroRNA arrays. Then, predictive models were established using related miRNAs (n = 38) and verified by a double-blind trial (n = 54). We found that miR-411 was significantly down regulated when aGVHD developed and recovered when aGVHD was controlled, which demonstrated that miR-411 has potential as an indicator for aGVHD monitoring. We developed and validated a predictive model and a diagnostic model for aGVHD. The predictive model included two miRNAs (miR-26b and miR-374a), which could predict an increased risk for aGVHD 1 or 2 weeks in advance, with an AUC, Positive Predictive Value (PPV), and Negative Predictive Value (NPV) of 0.722, 76.19 %, and 69.70 %, respectively. The diagnostic model included three miRNAs (miR-28-5p, miR-489, and miR-671-3p) with an AUC, PPV, and NPV of 0.841, 85.71 % and 83.33 %, respectively. Our results show that circulating miRNAs (miR-26b and miR-374a, miR-28-5p, miR-489 and miR-671-3p) may serve as biomarkers for the prediction and diagnosis of grades II-IV aGVHD.

Objectives In this study, a new immunoassay for the simultaneous determination of pepsinogen I (PGI) and pepsinogen II (PGII) in serum based on element labeling strategy coupled with inductively coupled plasma mass spectrometry (ICP‐MS) detection was proposed. Methods The sandwich‐type immunoassay was used to simultaneously detect PGI and PGII in serum. PGI and PGII were captured by anti‐PGI and anti‐PGII antibody immobilized on the magnetic beads and then banded with Eu 3+ labeled anti‐PGI detection antibody and Sm 3+ labeled anti‐PGII detection antibody, followed by ICP‐MS detection. Results The linear correlation coefficient ( R 2 ) of PGI and PGII standard curves was .9938 and .9911, with the dynamic range of 0‐200 ng/mL and 0‐60 ng/mL, respectively. The limit of detection for PGI and PGII was 1.8 ng/mL and 0.3 ng/mL, respectively. The average recovery was 101.41% ± 6.74% for PGI and 101.47% ± 4.20% for PGII. Good correlations were obtained between the proposed method and CLIA ( r = .9588 for PGI, r = .9853 for PGII). Conclusions We established a mass spectrometry‐based immunoassay for the simultaneous detection of PGI and PGII in a single analysis. The element tagged immunoassay coupled with ICP‐MS detection has high sensitivity, accuracy, and specificity in clinical serum sample analysis.

AbstractIntroductionElement-tagged immunoassay coupled with inductively coupled plasma-mass spectrometry (ICP-MS) detection has the potential to revolutionize immunoassay analysis in clinical detection; however, a systematic evaluation with the standard guidelines of the assay is needed to ensure its performance meets the requirements of the clinical laboratory.MethodsCarcinoembryonic antigen (CEA) was chosen for analysis using the proposed method. A systematic evaluation of the proposed assay was carried out according to the Clinical and Laboratory Standards Institute (CLSI). The 469 clinical samples were analyzed using the new method and compared with the electrochemiluminescent immunoassay (ECLIA) method.ResultsThe measurement range of the assay was 1–900 ng/mL, with a detection limit of 0.83 ng/mL. The inter-assay and intra-assay imprecision were 4.67% and 5.38% with high concentration samples, and 9.27% and 17.64% with low concentration samples, respectively. The cross-reactivity (%) for different antigens was less than 0.05%, and the recovery was between 94% and 108%. Percentage deviation of all the dilutions was less than 12.5% during linearity estimation. The interference bias caused by different substances was less than 10%. The reference interval of the assay was 0–4.442 ng/mL. Comparison with the commercial ECLIA method for clinical sample detection, the proposed method showed a correlation of 0.9878 and no significant differences between the methods were observed (p = 0.6666).ConclusionsThe ICP-MS based immunoassay was successfully developed, and the analytical performance of the assay met the requirements of the CLSI, which fully proved the clinical transferability and application of the new method.

Background: Element-tagged immunoassay coupled with inductively coupled plasma mass spectrometry (ICP-MS) detection has the potential to revolutionize immunoassay analysis for multiplex detection. However, a further study referring to the standard evaluation and clinical sample verification is needed to ensure its reliability for simultaneous analysis in clinical laboratories. Methods: Carcinoembryonic antigen (CEA) and α-fetoprotein (AFP) were chosen for the duplex immunoassay. The performance of the assay was evaluated according to guidelines from the Clinical and Laboratory Standards Institute (CLSI). Moreover, reference intervals (RIs) of CEA and AFP were established. At last, 329 clinical samples were analyzed by the proposed method and results were compared with those obtained with electrochemiluminescent immunoassay (ECLIA) method. Results: The measurement range of the assay was 2–940 ng/mL for CEA and 1.5–1000 ng/mL for AFP, with a detection limit of 0.94 ng/mL and 0.34 ng/mL, respectively. The inter-assay and intra-assay imprecision were all less than 6.58% and 10.62%, respectively. The RI of CEA and AFP was 0–3.84 ng/mL and 0–9.94 ng/mL, respectively. Regarding to clinical sample detection, no significant difference was observed between the proposed duplex assay and the ECLIA method. Conclusions: The ICP-MS-based duplex immunoassay was successfully developed and the analytical performance fully proved clinical applicability. Well, this could be different with other analytes.

Background MHR is the ratio of monocyte to high-density lipoprotein cholesterol (HDL-C). It has been reported that MHR changes are associated with cardiovascular and cerebrovascular disease. Carotid plaque is a common vascular lesion of the carotid artery and is a manifestation of atherogenesis. This study investigated the relationships between the MHR and the incidence of carotid plaques. Methods The data of 3848 physical examiners were analyzed for retrospective analysis, which included 1428 patients with noncarotid plaque, 1133 patients with single carotid plaque, and 1287 patients with bilateral or multiple carotid plaques. Statistical analysis was performed on SPSS 22.0 0 software and statistical software R and its GAM package. Results The difference was statistically significant in the levels of MHR, body mass index (BMI), high-sensitivity C-reactive protein (hs-CRP), blood lipids (HDL-C, low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglyceride (Tg)), blood glucose (Glu), hemoglobin A1c (HbA1c), renal function (urea, creatinine (Crea)), estimated glomerular filtration rate (eGFR), and uric acid (Ua) in the carotid plaque groups (P < 0.001, respectively). There was no significant difference between the sex (P = 0.635) and age (P = 0.063) in the different groups. MHR levels were positively correlated with BMI (r = 0.364, P < 0.001), hs-CRP (r = 0.320, P < 0.001), Tg (r = 0.417, P < 0.001), Crea (r = 0.323, P < 0.001), eGFR (r = − 0.248, P < 0.001), Ua (r = 0.383, P < 0.001) and HbA1c (r = 0.197, P < 0.001). Levels of TC, Glu, and urea were slightly correlated with the MHR level (r = − 0.150, P < 0.001; r = 0.187, P < 0.001; r = 0.137, P < 0.001, respectively). The MHR level increased with elevated severity of carotid plaque in subjects without hypertension or diabetes (P < 0.001). In adjusted models, with the rise of MHR level, the probability of occurrence of carotid plaque had a 1.871-fold (95% CI: 1.015–3.450, P = 0.045) increase; the probability of multiple occurrences of carotid plaques had a 2.896-fold (95% CI: 1.415–5.928, P < 0.001) increase. The GAM curve showed a nonlinear correlation between the normalized MHR and the probability of carotid plaque occurrence. Conclusions MHR could be used as a possible marker for plaque formation and severity.