An innovative approach to quantitatively analyze the histamine and its precursor histidine simultaneously in biological matrices was established for the first time based on double adsorption combined with high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS).The internal standard was 2-dihydroxybenzoic acid (DHB).The plasma and brain tissue homogenate was protein precipitated with 3-fold acetonitrile, and the supernatant was then sampled for injection analysis.The chromatographic separation of the target components was achieved on an amino chromatography column (ODS-SPXBridge? Amide).Gradient elution was carried out with the mobile phase consisting of solvent A (0.1% formic acid and 1mmol/L ammonium formate in water) and solvent B (acetonitrile).Mass spectrometry was employed for quantitative analysis with ESI ion source in multiple reaction monitoring (MRM) mode.In order to improve the specificity and accuracy, activated carbon and calcite were used for the double adsorption of biological matrices for the first time.The adsorbed matrix was then used for methodology validation.The results showed that histamine and histidine were linear in the quantitative range (correlation coefficient r ≥ 0.999).Accuracy, precision, extraction recovery, matrix effect and stability all met the requirements of biological sample analysis.All results suggested that the present method could not only be efficiently and reliably used for simultaneous quantitative analysis of histamine and histidine in biological samples, but also provide reference for the detection of other endogenous substances.

Objective: To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine (TCM) pulse conditions through voice signals. Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning. Audio features were extracted from voice recordings in the TCM pulse condition dataset. The obtained features were combined with information from tongue and facial diagnoses. A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation, and the modeling methods were validated using publicly available datasets. Results: The analysis showed that the proposed method achieved an accuracy of 92.59% on the public dataset. The accuracies of the three single-label pulse manifestation models in the test set were 94.27%, 96.35%, and 95.39%. The absolute accuracy of the multi-label model was 92.74%. Conclusion Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.

Copy number variants (CNVs) are common causes of human genetic diseases. CNVs detection has become a routine component of genetic testing, especially for pediatric neurodevelopmental disorders, multiple congenital abnormalities, prenatal evaluation of fetuses with structural anomalies detected by ultrasound. Although the technologies for CNVs detection are continuously improving, the interpretation is still challenging, with significant discordance across different laboratories. In 2020, the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen) developed a guideline for the interpreting and reporting of constitutional copy number variants, which introduced a quantitative, evidence-based scoring framework. Here, we detailed the key points of interpreting the copy number gain based on the guideline, used six examples of different categories to illuminate the scoring process and principles. We encourage a professional understanding and application of this guideline for the detected copy number gains in China in order to further improve the clinical evaluation accuracy and consistency across different laboratories.
Child ; DNA Copy Number Variations ; Female ; Genetic Testing ; Genetics, Medical ; Genome, Human/genetics* ; Genomics ; Humans ; Pregnancy ; United States

OBJECTIVES: The long-term trends of cognitive function and its associations with physical performance remain unclear, particularly in Asian populations. The study objectives were to determine cognitive trajectories in middle-aged and elderly Chinese individuals, as well as to examine differences in physical performance across cognitive trajectory groups. METHODS: Data were extracted from the China Health and Retirement Longitudinal Study. A total of 5,701 participants (47.7% male) with a mean age of 57.8 (standard deviation, 8.4) years at enrollment were included. A group-based trajectory model was used to identify cognitive trajectory groups for each sex. Grip strength, repeated chair stand, and standing balance tests were used to evaluate physical performance. An ordered logistic regression model was employed to analyze differences in physical performance across cognitive trajectory groups. RESULTS: Three cognitive trajectory groups were identified for each sex: low, middle, and high. For both sexes, higher cognitive trajectory groups exhibited smaller declines with age. In the fully adjusted model, relative to the low trajectory group, the odds ratios (ORs) of better physical performance in the middle cognitive group were 1.37 (95% confidence interval [CI], 1.17 to 1.59; p<0.001) during follow-up and 1.40 (95% CI, 1.20 to 1.64; p<0.001) at the endpoint. The ORs in the high trajectory group were 1.94 (95% CI, 1.61 to 2.32; p<0.001) during follow-up and 2.04 (95% CI, 1.69 to 2.45; p<0.001) at the endpoint. CONCLUSIONS Cognitive function was better preserved in male participants and individuals with higher baseline cognitive function. A higher cognitive trajectory was associated with better physical performance over time.

Gallbladder polypoid lesions (GPLs) refer to any elevated lesion of the mucosal surface of the gallbladder wall, and the prevalence is estimated to be between 0.9% and 12.1%. GPLs include benign polyps and malignant polyps. Benign polyps are further classified as non-neoplastic polyps and neoplastic polyps. Cholesterol polyps are the most common benign polyps and adenocarcinoma is the main type of malignant polyp. Hepatitis B virus infection, liver function abnormalities, dyslipidemia, and obesity are the main risk factors for GPLs. Studies of biological mechanisms have focused on malignant gallbladder polyps, the development of which is regulated by hormone levels in vivo, gut microbiota, inflammation, oxidative stress, Salmonella typhimurium, and related molecules. Diagnostic modalities include chemical examination and imaging examination, with imaging examination currently being the mainstay. Treatment of patients with GPLs is based on the presence or absence of symptoms, age, size of the polyps, tendency of the polyp to increase, and risk factors for symptomatic malignancy to determine whether surgery should be performed.

The aim of the study was to develop a simple, rapid and accurate LC-MS/MS method for the determination of digoxin.Digoxin-d3 was taken as the internal standard (IS), and sample preparation was achieved by liquid-liquid extraction.Chromatographic separation was performed on a Kinetex C18 column (2.1 mm × 50 mm, 2.6 μm; Phenomenex) using an isocratic elution with merely 2 min for each sample.The mobile phase consisted of water and acetonitrile solutions, both containing 1 mmol/L ammonium acetate and 1 mmol/L formic acid (55∶45).The detection was conducted on a TripleQuadTM 4500MD mass spectrometer coupled with electrospray ionization interface under positive-ion multiple reaction monitoring mode.The transitions were m/z 798.5 → 651.3 and m/z 801.6 → 654.4 for digoxin and digoxin-d3, respectively.Results showed that the method was linear over the range of 0.100-20.0 ng/mL.The selectivity, accuracy and precision, recovery and stability of the method were all within the acceptable limits with no matrix effect.This method was successfully applied to a girl treated with digoxin with substantial improvement of therapeutic effect and elimination of toxic reaction, so it can provide valuable fuidance and reference for individualized medication in clinical practice.

Objective:To evaluate the impact of metastatic site on the prognosis in patients with metastatic renal cell carcinoma (mRCC), and it′s value for modifying the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) criteria.Methods:The data of 218 patients pathologically diagnosed with mRCC were analyzed retrospectively in West China Hospital from Jan. 2009 to Dec. 2019. Among all patients, 71.6%(156/218) were male, and 89.0% (194/218) underwent nephrectomy. Most of the patients were pathologically diagnosed with renal clear cell carcinoma (176 patients, 80.7%). Lung (137/218, 62.8%) was the most observed metastatic site, following by bone (47/218, 26.1%), lymph node (37/218, 17.0%) and liver (23/218, 10.6%). All patients were classified into favorable (26 patients, 11.9%), intermediate (126 patients, 57.8%) or poor (37 patients, 17.0%) risk group according to IMDC criteria. Endpoints of this study were progression-free survival (PFS), overall survival (OS) and tumor response. The impact of metastatic sites on patients’ prognosis was analyzed, and those that had significant relationship with prognosis were then added into IMDC criteria and a modifying IMDC model was established. Predictive value of this model was further evaluated by calculating concordance index (C-index).Results:In the whole cohort, median PFS and OS were 13.0 and 33.0 months. Survival analysis suggested that patients with bone ( P=0.004), brain ( P=0.042) and liver ( P=0.046) had significantly shorter OS. Thus, patients were divided into two groups: patients with bone/brain/liver metastasis (82 patients, 37.6%) and patients with other metastatic sites (136 patients, 62.4%). Compared with patients with other metastatic sites, those who with bone/brain/liver metastasis had inferior tumor response by TKIs treatment (disease control rate: 51.2% vs. 73.5%, P=0.004). Multivariate analysis suggested that bone/brain/liver metastasis had negative impact on OS (25.0 vs. 47.0 mo, P=0.039). Furthermore, bone/brain/liver metastasis also showed significant relationship with shorter OS in IMDC low (30.0 vs. 62.0 months, P=0.036), intermediate (31.0 vs. 48.0 months, P=0.048) or high (7.0 vs. 18.0 months, P=0.037) risk group, indicating that metastatic site had predictive value for prognosis of mRCC patients. Based on that, bone/brain/liver metastasis were added into the IMDC criteria, and weighting each parameter was weighted according to its coefficient to patients’ OS. Finally, a modified IMDC scoring system were established. C-index of this modified model was 0.669 (0.599 for current IMDC criteria). Conclusions:Bone/brain/liver metastasis in mRCC patients indicated a shorter OS duration. When adding bone/brain/liver metastasis as a predictive parameter for prognosis of mRCC patients into IMDC criteria, the modified IMDC criteria could offer more accurate prediction for patients’ survival.

Objective:To investigate the safety and efficacy of individualized sunitinib schedule for patients with metastatic renal cell carcinoma (mRCC) according to the monitoring results of plasma drug concentration.Methods:The clinical data of patients with mRCC who received sunitinib treatment in our center from January 2014 to December 2020 were retrospectively analyzed, including 20 patients who underwent monitoring of plasma drug concentration (monitoring group), and 45 patients, matched by propensity score matching, received sunitinib but did not undergo monitoring of plasma drug concentration during the same period (unmonitored group). In the monitoring group, there were 12 males and 8 females. The mean age was 52.9 years, and ECOG score ≤1 in 16 cases (80%). Three patients were in the IMDC favorable-risk group, 15 patients were in the intermediate-risk group, and 2 patients were in the high-risk group. There were 18 cases of clear cell carcinoma and 2 cases of non-clear cell carcinoma, 5 cases of ISUP grade 1-2 and 11 cases of grade 3-4. In the unmonitored group, there were 31 males and 14 females. The mean age was 57.7 years, and 30 patients had ECOG score ≤1, 15 cases ≥2. There were 10 cases in IMDC favorable-risk group, 23 cases in intermediate-risk group, and 12 cases in high-risk group. Thirty-seven cases were clear cell carcinoma and 8 cases were non-clear cell carcinoma, 8 cases were in ISUP grade 1-2 and 28 cases in grade 3-4. There were no statistically significant differences between the two groups in the above parameters ( P>0.05). The monitoring group used the regimen of taking sunitinib for 4 weeks and stopping for 2 weeks (4/2 week) in the first cycle. The blood concentration of sunitinib was monitored before the first cycle and on days 4, 7, 10, 14, 21 and 28, and personalized medication plan was formulated according to the curve of the blood concentration. The 4/2 week scheme was adopted in the undetected monitoring group.The two groups were compared in the incidence of adverse events (AEs), progression-free survival (PFS), overall survival (OS), tumor treatment response and other clinical outcomes. Results:In the monitoring group, 90% (18/20) of patients receiving sunitinib had a steady-state plasma concentration of more than 150ng/ml, of which 10 patients (50%) had a plasma concentration of 150-200 ng/ml and 8 patients (40%) had a plasma concentration of more than 200 ng/ml. Meanwhile, all patients with plasma concentration higher than 150 ng/ml developed severe AEs (grade 3 and above) after treatment. The other two patients' plasma concentration were 100-150 ng/ml, and did not have severe AEs.All patients in the monitoring group received individualized medication schedule adjustment according to the plasma drug concentration and the occurrence point of severe AEs, ensuring that the peak plasma drug concentration was maintained at about 100-150 ng/ml. Among them, 6 patients were changed to take 2 weeks and stop for 1 week (2/1 week schedule), 4 patients were changed to take 10 days and stop for 5 days (10/5 d schedule), 7 patients were changed to take 7 days and stop for 3 days (7/3 d schedule), and 3 patients were changed to take 5 days and stop for 2 days (5/2 d schedule). The incidence of severe AEs significantly decreased from 90% (18/20) to 35% (7/20), and the difference was statistically significant ( P=0.003), while the incidence of grade 3 and higher AEs was 55.6% (25/45) in the standard group, which was statistically significant compared with the incidence of severe AEs before adjustment in the monitoring group ( P=0.006). Further analysis of the efficacy difference between the two groups showed that the overall objective response rate in the monitoring group (40%, 8/20) was higher than that in the standard group (20%, 9/45), although the difference was not statistically significant ( P=0.09). Median PFS and OS were significantly longer in the monitored group than in the standard group (PFS: 23 vs. 10 months, P=0.002; OS: not reached vs.25 months, P=0.005). Conclusions:The bioavailability of sunitinib is high in mRCC patients, which may lead to higher plasma drug concentration, adjustment of medication regimen based on blood concentration monitoring significantly improved patient safety and clinical outcomes. However, further validation by larger-scale, multi-center and prospective studies is needed.

Objective:To explore the association between short-term exposures to fine particulate matter (PM 2.5) on blood lipids in the elderly. Methods:In this panel study, five repeated measurements were performed on 76 people aged 60-69 in Jinan city. Each participant had a PM 2.5 monitor for 72 hours before each health examination, including a questionnaire survey, physical examination, and biological sample collection. Serum triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were examined, and non-HDL-C concentrations were calculated by subtracting HDL-C from TC. The generalized linear mixed-effects model was used to quantify the association of personal PM 2.5 exposure at different lag with blood lipids and dyslipidemia. Results:The age of 70 participants was (65.0±2.8) years, of which 48.6% (34/70) were males. The BMI of participants was (25.0±2.5) kg/m 2. Their TC, TG, LDL-C, HDL-C, and non-HDL-C concentrations were (5.75±1.32), (1.55±0.53), (3.27±0.94), (1.78±0.52), and (3.97±1.06) mmol/L, respectively. Generalized linear mixed-effects model showed that after adjusting for confounding factors, at lag 72 hours, each 10 μg/m 3 increase in PM 2.5 was associated with the percentage change in TC, LDL-C, HDL-C and non-HDL-C about 1.77% (95% CI: 1.22%-2.32%), 1.90% (95% CI: 1.18%-2.63%), 1.99% (95% CI: 1.37%-2.60%) and 1.74% (95% CI: 1.11%-2.37%), and the OR values (95% CI) of hypercholesterolemia, hypertriglyceridemia and hyperbetalipoproteinemia were 1.11 (1.01-1.22), 1.33 (1.03-1.71) and 1.15 (1.01-1.31), respectively. Conclusion:There is a significant association of short-term PM 2.5 exposure with the concentration of blood lipids and the risk of dyslipidemia in the elderly.

Objective:To explore the association between short-term exposures to fine particulate matter (PM 2.5) on blood lipids in the elderly. Methods:In this panel study, five repeated measurements were performed on 76 people aged 60-69 in Jinan city. Each participant had a PM 2.5 monitor for 72 hours before each health examination, including a questionnaire survey, physical examination, and biological sample collection. Serum triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were examined, and non-HDL-C concentrations were calculated by subtracting HDL-C from TC. The generalized linear mixed-effects model was used to quantify the association of personal PM 2.5 exposure at different lag with blood lipids and dyslipidemia. Results:The age of 70 participants was (65.0±2.8) years, of which 48.6% (34/70) were males. The BMI of participants was (25.0±2.5) kg/m 2. Their TC, TG, LDL-C, HDL-C, and non-HDL-C concentrations were (5.75±1.32), (1.55±0.53), (3.27±0.94), (1.78±0.52), and (3.97±1.06) mmol/L, respectively. Generalized linear mixed-effects model showed that after adjusting for confounding factors, at lag 72 hours, each 10 μg/m 3 increase in PM 2.5 was associated with the percentage change in TC, LDL-C, HDL-C and non-HDL-C about 1.77% (95% CI: 1.22%-2.32%), 1.90% (95% CI: 1.18%-2.63%), 1.99% (95% CI: 1.37%-2.60%) and 1.74% (95% CI: 1.11%-2.37%), and the OR values (95% CI) of hypercholesterolemia, hypertriglyceridemia and hyperbetalipoproteinemia were 1.11 (1.01-1.22), 1.33 (1.03-1.71) and 1.15 (1.01-1.31), respectively. Conclusion:There is a significant association of short-term PM 2.5 exposure with the concentration of blood lipids and the risk of dyslipidemia in the elderly.