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Objective: To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers. Methods: Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions. Results: This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P <0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion: This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Single-molecule immunoassay technology represents an ultrasensitive immunoassay method that enables the resolution and detection of individual biomolecules at the nanoscale. This article highlights various representative techniques and clinical applications of single-molecule immunoassay technology, while also discussing the current challenges and future development directions. Through multiple optimizations at both the technical and commercial levels, single-molecule immunoassay technology exhibits unique advantages in real-time detection, disease diagnosis and treatment, and medical research. This technology is poised to contribute to the advancement of precision medicine by integrating individualized detection methods into clinical practice.

Objective: To investigate the risk factors for lymph node metastasis in patients with early gastric cancer and establish a model for prediction of risk. Methods: The cohort of this retrospective observational study comprised 1096 patients who had undergone radical gastric cancer surgery combined with standard D1 lymphadenectomy and been diagnosed with early gastric cancer by postoperative pathology in Zhongshan Hospital affiliated with Fudan University from January 2016 to July 2022. The patients were allocated to groups with and without lymph node metastases. Clinicopathological characteristics were compared between the two groups and multi-factor logistic regression analysis used to identify independent risk factors for lymph node metastasis in patients with early gastric cancer. Indications for endoscopic resection in the Japanese Gastric Cancer Association (JGCA) guideline were also incorporated into construction of the model. The patient cohort was divided into training and validation sets in a 6:4 ratio. The identified independent risk factors were used to construct a predictive nomogram. Receiver operating characteristic curves were plotted separately and the difference between them in predictive efficacy was compared using the area under the curve (AUC). Results: A total of 1,096 patients with early gastric cancer were included, with 750 males and 346 females. Their average age was (61.4±10.9) years old, and the mean tumor diameter was (23.8±11.4) mm. Among them, 188 patients (17.2%) had positive lymph node metastasis, with 109 cases in N1 stage, 42 cases in N2 stage, and 37 cases in N3 stage. Additionally, 462 patients were in T1a stage, while 634 patients were in T1b stage. Univariate analysis showed that tumor diameter, location, Lauren classification, gross morphology, histological type, intravascular invasion, ulceration, differentiation type and tumor T stage were associated with lymph node metastasis after radical gastrectomy for early gastric cancer (all P <0.05). Multifactorial analysis showed that the presence of intravascular invasion (OR=14.822, 95%CI: 9.323-23.572, P <0.001), undifferentiated type (OR=3.095, 95%CI: 1.649-5.811, P <0.001), tumor T1b (OR=1.798, 95%CI: 1.053-3.079, P =0.032), and tumor diameter ≥2 cm (OR=1.229, 95%CI: 1.031-1.469, P =0.022) were independent risk factors for lymph node metastasis. The baseline data of the training set and validation set were consistent in terms of balance (all P >0.05). We used the above variables to establish a predictive nomogram for lymph node metastasis in patients with early gastric cancer. The AUC values obtained from the validation of the model in the training and validation sets were 0.880 (95%CI: 0.849-0.911) and 0.881 (95%CI: 0.841-0.921), respectively, and were significantly better than the predictive efficacy based on the JGCA guideline (AUC=0.777, 95%CI: 0.746-0.809, P <0.001). Conclusions: Patients with early gastric cancer and intravascular invasion, undifferentiated tumors, tumor T1b, and diameter ≥2 cm are at higher risk of postoperative lymph node metastasis than other patients. The predictive model developed in this study more accurately predicts lymph node metastasis in patients with early gastric cancer than previously proposed methods.

Objective: To establish a quantitative immunoassay method based on stable element labeling and inductively coupled plasma mass spectrometry (ICP-MS) for the detection of serum amyloid A (SAA) and evaluate its performance. Methods: An immunoassay system based on sandwich method was established with magnetic bead as carrier and holmium (Ho) as element tags. The binding ratio of hydrophilic streptavidin magnetic beads and biotinylated antibody, the amount of elemental antibody, and the reaction time were optimized to choose the optimal reaction conditions. According to the documents of Clinical and Laboratory Standards Institute (CLSI), the analytical performance was evaluated, including the limit of blank (LOB), linearity, accuracy, specificity, imprecision and interference test. Finally, 82 SAA plasma samples were collected after the turbidimetric inhibition immunoassay, and the newly established method was used for detection. Moreover, the detection results of the two methods were analyzed by Pearson correlation analysis. Results: The optimal binding ratio of hydrophilic streptavidin and biotinylated antibody was 1∶0.15, the amount of Ho-labeled antibody was 3 μl and the incubation time of the two reaction steps was 40 min and 30 min, respectively. The LOB was 0.6 ng/ml. The linearity was good within the range of 0-1 200 μg/L ( R 2 <0.001). The inter-batch precision of high-value samples and low-value samples was 9.42% and 7.95%, respectively, and the intra-batch precision was 14.56% and 13.56%, respectively. The recovery was 96.01%-104.76%. The cross-reaction rates with procalcitonin (PCT) and C-reactive protein (CRP) were 0.45% and 0.015%, respectively. When the concentration of triglyceride≤35.5 mg/L, bilirubin≤0.52 mg/L and hemoglobin≤2.4 g/L, the interference bias was less than 10%. The results of 82 SAA plasma samples were 12.65 (4.45, 59.03) mg/L by ICP-MS immunoassay and 18.23 (9.33, 68.72) mg/L by turbidimetric inhibition immunoassay, respectively. The newly established system was well correlated with turbidimetric inhibition immunoassay ( P <0.001). The inter-batch precision of high-value samples and low-value samples was 9.42% and 7.95%, respectively, and the intra-batch precision was 14.56% and 13.56%, respectively. The recovery was 96.01%-104.76%. The cross-reaction rates with procalcitonin (PCT) and C-reactive protein (CRP) were 0.45% and 0.015%, respectively. When the concentration of triglyceride≤35.5 mg/L, bilirubin≤0.52 mg/L and hemoglobin≤2.4 g/L, the interference bias was less than 10%. The results of 82 SAA plasma samples were 12.65 (4.45, 59.03) mg/L by ICP-MS immunoassay and 18.23 (9.33, 68.72) mg/L by turbidimetric inhibition immunoassay, respectively. The newly established system was well correlated with turbidimetric inhibition immunoassay ( R 2 =0.983, P <0.001). Conclusion: The quantitative immunoassay for SAA with Ho as marker established in this study has high precision, good accuracy, high specificity, and wide linear range, which can meet the clinical testing requirements.

Objective: To investigate the characteristics of distribution and expression profiles of plasma miRNA in childhood acute lymphocytic leukemia (cALL) patients; the association between cALL incidence risk and plasma miRNA levels; the feasibility of plasma miRNA serving as cALL diagnostic biomarker. Methods: A total of 111 pairs of newly diagnosed cALL patients and patients with fractures were collected from Shenzhen Children's Hospital, China, between January 2015 and November 2016. Age and sex of the cases and controls were 1∶ 1 matched and LNA(TM) miRNA microarray was performed using 4 pairs of cALL and controls selected from the sample population. The expression level of miRNA was validated by real time quantitative PCR. Conditional logistic regression analysis was applied to evaluate the association between miRNA expression levels and the incidence risk of cALL. The receiver operating characteristic curve (ROC) and reclassification analysis were conducted to assess the feasibility of miRNAs serving as biomarkers for cALL. Results: A total of 204 differentially expressed miRNA were screened out and let-7f-5p, miR-5100, miR-25-3p and miR-3654 were selected for validation identified according to the inclusion criteria. The expression levels of let-7f-5p, miR-5100 and miR-25-3p in the cALL patients were significantly lower than those of the controls ( P <0.01). After adjusting for confounding factors, 3 miRNAs remained significantly associated with the risk of cALL ( OR and 95 %CI were 0.84 (0.76-0.92), 0.81 (0.73-0.90) and 0.81 (0.74-0.89), respectively. Results from both the ROC analysis and reclassification analysis showed that introduction of one or more miRNA to traditional risk factors improved the area under the curve ( P <0.05) and provided additional values to diagnosis ( P <0.01). Conclusion: The expression levels of let-7f-5p, miR-5100 and miR-25-3p were significantly associated with the incidence rate of cALL, and these miRNAs might serve as promising biomarkers for cALL.

Background: Nowadays, the diagnosis for sensitive skin relies on subjective assessment or on the combination of subjective and objective evaluation. No quantitative evaluation is available. It could be expected that confocal microscopy imaging could be of interest to better define the condition., Methods: Total 166 healthy female subjects were recruited in this study. Firstly, all subjects completed the sensitive questionnaire. Then, the cutaneous structures were measured by the reflectance confocal microscopy (RCM) on the face and fossa cubitalia. The lactic acid sting test was conducted finally. According to the results of self-perception sensitive skin questionnaire and lactic acid stinging test to evaluate facial skin sensitivity the both positive subjects were regarded as sensitive skin group and both negative group as healthy control group., Result: The results of RCM indicating that the proportion of 'disarranged honeycomb pattern' and 'spongiform edema' in the sensitive group and healthy control group were statistically different (P < 0.05), respectively; The following report 'damaged dermal papilla rings' was not a distinctive pattern, with no significant statistical difference (P > 0.05). The epidermal thickness was 38.88 ± 6.81 μm, healthy control group was 40.31 ± 9.37 μm in, respectively, sensitive skin group and healthy control group, there was no significant statistical difference between the two groups (P > 0.05). The honeycomb structure depth of sensitive group was 20.57 ± 4.86 μm. It was for 23.27 ± 6.38 μm, healthy control group the difference being statistically different between the two groups (P < 0.05)., Conclusion: Based on the RCM results, 'epidermal honeycomb structure' and 'spongiform edema' may be used as new skin signs of RCM evaluation of sensitive skin effectively. Indeed, sensitive skin honeycomb structure depth was thinner compared with healthy control group. Such a specific pattern has good clinical and monitoring value for the further exploration. RCM could provide new data and patterns for the evaluation of sensitive skin., (© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: This study aimed to investigate the association between exposure to environmental chemicals and the risk of childhood acute lymphocytic leukemia(cALL). Methods: A case-controlled study was conducted in Shenzhen Children's Hospital, China from January 2015 to January 2016. The cases were selected from the section of Hematology and Oncology, and the controls were selected from Orthopedics by 1∶2 matching of cases according to sex and age. A questionnaire including population data and chemical exposure characteristics was conducted on the children's parents, and urine and EDTA-blood were collected from the children. Then, we quantitatively measured the internal dose of formaldehyde(i.e., formaldehyde-human serum albumin)by enzyme-linked immunosorbent assay and the doses of metabolites benzene, toluene, and xylene(i.e., trans-muconic acid, hippuric acid, and methylhippuric acid)by high-performance liquid chromatography. Logistic regression models were used to analyze the relationships between exposure factors measured from children and their parents and cALL. Results: In the study, 71 cases(average age: 6.08±3.61 years), and 142 controls(average age: 5.91±3.57 years)were assessed; there were no differences in general demographics between two groups. The self-reported results showed that living in a home that had been painted in the past 10 years( OR= 4.39, 95% CI : 1.87-10.31), maternal chemical exposure during pregnancy( OR= 11.78, 95% CI : 1.65-83.88), paternal diesel or gasoline exposure( OR= 8.15, 95% CI : 2.68-24.83), paternal dye exposure( OR= 7.77, 95% CI : 1.52-39.67)and trash burning near the child's residence( OR= 6.08, 95% CI : 1.17-31.66)were associated with increased risk of cALL. The positive detection rates of only benzene metabolites were significantly higher in cases(40/44)than controls(81/111)(χ 2 =5.92, P= 0.021). The median formaldehyde and benzene concentrations in cases(32.120 pg/ml, 2.505 μg/gCr)were significantly higher than those in controls(18.705 pg/ml, 0.672 μg/gCr; Z values:-1.98 and-3.95, P values: 0.047 and<0.001, respectively). Multiple logistic regression analysis showed that benzene exposure( OR= 1.09, 95% CI : 1.00-1.19), home painting in the past 10 years( OR= 3.56, 95% CI : 1.20-10.53)and paternal diesel or gasoline exposure( OR= 3.75, 95% CI : 1.06-13.22)were associated with increased risk of cALL. Conclusion: A variety of environmental chemistry factors, such as benzene exposure, increase the risk of cALL, and further studies are warranted to explore their specific roles.