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The analytical renal pathology system (ARPS) based on convolutional neural networks has been used successfully in native IgA nephropathy (IgAN) patients. Considering the similarity of pathologic features, we aim to evaluate the performance of the ARPS in allograft IgAN patients and broaden its implementation. Biopsy-proven allograft IgAN patients from two different centers were enrolled for internal and external validation. We implemented the ARPS to identify glomerular lesions and intrinsic glomerular cells, and then evaluated its performance. Consistency between the ARPS and pathologists was assessed using intraclass correlation coefficients. The association of digital pathological features with clinical and pathological data was measured. Kaplan-Meier survival curve and cox proportional hazards model were applied to investigate prognosis prediction. A total of 56 biopsy-proven allograft IgAN patients from the internal center and 17 biopsy-proven allograft IgAN patients from the external center were enrolled in this study. The ARPS was successfully applied to identify the glomerular lesions (F1-score, 0.696–0.959) and quantify intrinsic glomerular cells (F1-score, 0.888–0.968) in allograft IgAN patients rapidly and precisely. Furthermore, the mesangial hypercellularity score was positively correlated with all mesangial metrics provided by ARPS [Spearman's correlation coefficient (r), 0.439–0.472, and all p values < 0.001]. Besides, a higher allograft survival was noticed among patients in the high-level groups of the maximum and ratio of endothelial cells, as well as the maximum and density of podocytes. We propose that the ARPS could be implemented in future clinical practice with outstanding capability. [ABSTRACT FROM AUTHOR]

An accurate determination of quantitative and confirmative method for sodium cyclamate in liquor by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) with linear trap technology has been established. Without pretreatment, the sample was directly injected after filtering through a 0.2 microm micro filter. The HPLC separation was performed on an Atlantis dC18 column (150 mm x 2.1 mm, 3 microm) by gradient elution with methanol and water containing 0.1% (v/v) formic acid. The eluent was determined and confirmed in multiple reaction monitoring-enhanced product ion (MRM-EPI) scan mode. The acquired data from MRM for the quantitative determination, and the product ion spectra were used for library search for qualitative confirmatory analysis. External standard was used for the quantitative determination of sodium cyclamate in liquor, and good linearity (r = 0.9991) was obtained over the range of 1.320 - 132.0 microg/L. The limit of detection (LOD, S/N = 3) for sodium cyclamate was 0.1 microg/L. The average recoveries ranged from 96.38% to 107.2% at the spiked levels of 2.640, 26.40 and 100.0 microg/L with the relative standard deviations (RSDs) less than 9%. The matching degrees of the spectra for all positive samples were higher than 92%. The method is simple, accurate and efficient for the determination of sodium cyclamate in liquor and particularly suitable for confirmatory analysis of positive samples.