ObjectiveThis paper aims to investigate and evaluate the staged efficacy and safety of the representative empirical prescription of the “Zhu Ke Jiao” theory， Qijia Rougan prescription， combined with entecavir in the treatment of hepatic fibrosis in chronic hepatitis B. MethodsA multicenter randomized controlled clinical study was conducted， and 101 patients diagnosed with chronic hepatitis B-related hepatic fibrosis （CHB-HF） who met the diagnosis and inclusion criteria were randomly assigned to an observation group （Qijia Rougan prescription + entecavir） and a control group （entecavir）. The treatment duration was 24 weeks. Liver stiffness measurement （LSM）， fibrosis-4 index （FIB-4）， portal vein diameter， hepatitis B serology， biochemical indicators， hepatic fibrosis markers in serum ［hyaluronic acid （HA）， laminin （LN）， procollagen Ⅲ peptide （PⅢP）， and type Ⅳ collagen （Ⅳ-C）］， and traditional Chinese medicine syndrome scores were used as efficacy evaluation indicators. Efficacy assessments and explorations of different staged subgroups of Qijia Rougan prescription were conducted according to LSM values based on the Metavir pathological staging standard. ResultsA total of 98 cases were included for statistical analysis， with 49 cases in the observation group and 49 in the control group. The general data of the patients in both groups were comparable. Compared with the same group before treatment， the observation group showed a significant reduction in LSM and FIB-4 （P<0.01）， as well as notable improvements in LN， Ⅳ-C， and various TCM syndrome scores （P<0.05， P<0.01）. When compared to the control group after treatment， the observation group demonstrated significant improvements in LSM， FIB-4， and various TCM syndrome score indicators （P<0.05， P<0.01）， indicating that the observation group performed better than the control group. Subgroup analysis of the regression of hepatic fibrosis stages showed that compared to the same group before treatment， the observation group had better improvement in regression of stages F2 and F3 （P<0.05）. When compared to the control group after treatment， the observation group exhibited superior improvement in regression of stage F3 （P<0.05）. No adverse events occurred in either group during the treatment period. ConclusionCompared with entecavir alone， the combination of Qijia Rougan prescription and entecavir significantly improves the degree of hepatic fibrosis and clinical TCM symptoms in patients. The optimal intervention period is primarily during stage F3， which is a potential “interception” point of the “Zhu Ke Jiao” theory.

As the primary therapy for children with end-stage renal disease, kidney transplantation not only extends life but also profoundly affects growth, psychosocial development and long-term social integration. Due to the unique physiological, immune and drug metabolism characteristics of children, a multidisciplinary treatment strategy is required for pediatric kidney transplantation to ensure the success of transplantation and long-term quality of life. Therefore, the article elaborates in detail on the multidisciplinary collaboration model of pediatric kidney transplantation from the perspectives of the particularity of pediatric kidney transplant recipients, the composition of multidisciplinary collaboration and comprehensive management strategies. It involves close cooperation in multiple fields such as transplant surgery, pediatric nephrology, genetics, pathology, anesthesiology, psychology and nutrition, covering the entire management process from preoperative evaluation, surgical management to long-term postoperative follow-up, in order to provide reference for improving the prognosis of pediatric kidney transplant recipients.

Objective:To investigate the longitudinal stability of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the Activity of Daily Living Scale (ADL).Methods:The longitudinal cognitive assessment results of 68 dementia patients admitted to the Dementia and Leukoencephalopathy Outpatient Clinic, Department of Neurology, Peking Union Medical College Hospital, from January 2021 to January 2024, were retrospectively analyzed, including the total and sub-items scores of the MMSE, MoCA, and ADL. Two different rules were applied to analyze the abnormality rates: rule 1, where the current test result being better than the previous one was considered an abnormality; rule 2, where the current test result being better than the previous average score was considered an abnormality (If a patient had only 2 cognitive assessments, rule 2 was considered the same as rule 1). Two rules were used to analyze the abnormality rates of the scales. The statistical analyses were repeated after excluding patients with possible anxiety and depression status.Results:In assessing the total score stability, MMSE showed the lowest abnormality rates [27.2% (31/114) under rule 1 and 29.8% (34/114) under rule 2], while MoCA had the highest abnormality rates [41.3% (26/63) and 46.0% (29/63), respectively]. The ADL abnormality rates were 27.7% (23/83) and 33.7% (28/83), respectively. Among MoCA sub-items, category cue, multiple choice cue, second memory trial, orientation, and clock showed higher abnormality rates [31.7%(20/63), 30.2%(19/63), 23.8%(15/63), 22.2%(14/63), 22.2%(14/63), respectively]. After excluding population with possible anxiety and depression status, the relative abnormality rates of MMSE and ADL sub-items did not significantly change, while the abnormality rate of orientation in MoCA sub-items decreased relatively.Conclusion:The MMSE and ADL exhibit good stability in long-term monitoring of dementia patients, serving as essential tools for assessing and following up cognitive changes.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

Objective:To investigate the longitudinal stability of the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the Activity of Daily Living Scale (ADL).Methods:The longitudinal cognitive assessment results of 68 dementia patients admitted to the Dementia and Leukoencephalopathy Outpatient Clinic, Department of Neurology, Peking Union Medical College Hospital, from January 2021 to January 2024, were retrospectively analyzed, including the total and sub-items scores of the MMSE, MoCA, and ADL. Two different rules were applied to analyze the abnormality rates: rule 1, where the current test result being better than the previous one was considered an abnormality; rule 2, where the current test result being better than the previous average score was considered an abnormality (If a patient had only 2 cognitive assessments, rule 2 was considered the same as rule 1). Two rules were used to analyze the abnormality rates of the scales. The statistical analyses were repeated after excluding patients with possible anxiety and depression status.Results:In assessing the total score stability, MMSE showed the lowest abnormality rates [27.2% (31/114) under rule 1 and 29.8% (34/114) under rule 2], while MoCA had the highest abnormality rates [41.3% (26/63) and 46.0% (29/63), respectively]. The ADL abnormality rates were 27.7% (23/83) and 33.7% (28/83), respectively. Among MoCA sub-items, category cue, multiple choice cue, second memory trial, orientation, and clock showed higher abnormality rates [31.7%(20/63), 30.2%(19/63), 23.8%(15/63), 22.2%(14/63), 22.2%(14/63), respectively]. After excluding population with possible anxiety and depression status, the relative abnormality rates of MMSE and ADL sub-items did not significantly change, while the abnormality rate of orientation in MoCA sub-items decreased relatively.Conclusion:The MMSE and ADL exhibit good stability in long-term monitoring of dementia patients, serving as essential tools for assessing and following up cognitive changes.

Background::Growth retardation is a common complication of chronic kidney disease in children, which can be partially relieved after renal transplantation. This study aimed to develop and validate a predictive model for growth patterns of children with end-stage renal disease (ESRD) after kidney transplantation using machine learning algorithms based on genomic and clinical variables.Methods::A retrospective cohort of 110 children who received kidney transplants between May 2013 and September 2021 at the First Affiliated Hospital of Zhengzhou University were recruited for whole-exome sequencing (WES), and another 39 children who underwent transplant from October 2021 to March 2022 were enrolled for external validation. Based on previous studies, we comprehensively collected 729 height-related single-nucleotide polymorphisms (SNPs) in exon regions. Seven machine learning algorithms and 10-fold cross-validation analysis were employed for model construction.Results::The 110 children were divided into two groups according to change in height-for-age Z-score. After univariate analysis, age and 19 SNPs were incorporated into the model and validated. The random forest model showed the best prediction efficacy with an accuracy of 0.8125 and an area under curve (AUC) of 0.924, and also performed well in the external validation cohort (accuracy, 0.7949; AUC, 0.796). Conclusions::A model with good performance for predicting post-transplant growth patterns in children based on SNPs and clinical variables was constructed and validated using machine learning algorithms. The model is expected to guide clinicians in the management of children after renal transplantation, including the use of growth hormone, glucocorticoid withdrawal, and nutritional supplementation, to alleviate growth retardation in children with ESRD.

Objective:To explore the clinical characteristics of pediatric kidney transplant recipients reinfected with SARS-CoV-2.Method:The relevant clinical data were retrospectively reviewed for 191 pediatric kidney transplant recipients at a single center. Based upon whether or not there was a reinfection of SARS-CoV-2, they were assigned into two groups of single infection (group A, 127 cases) and reinfection (group B, 64 cases). Baseline profiles, clinical symptoms, diagnostic and therapeutic strategies, markers of disease progression, immune status, respiratory support modalities, comorbidities and transplantation-related data were collected for comparing the inter-group differences during primary infection and between two infections in reinfected group.Result:As compared with group A, group B recipients had a higher proportion of age <12 years (71.9% vs 54.3%) ,unvaccinated (81.2% vs 66.1%) and such symptoms as high fever (34.4% vs 12.6% ), dry cough (43.8% vs 23.6% ) and chest tightness (14.1% vs 3.9 %) during primary infection (all P<0.05). During primary infection, the levels of IL-6 and CRP were higher in group B than in group A and inter-group difference was statistically significant (both P<0.01). The levels of IL-6 ( P<0.01), CRP ( P<0.01) and PCT ( P= 0.023) were lower in group B during reinfection than those during primary infection and the difference was statistically significant. During primary infection, the counts of CD3+, CD4+, CD8+, NK and B lymphocyte of group B were lower than those of group A. And inter-group differences were statistically significant (all P<0.01). During reinfection, the levels of CD3+, CD4+, CD8+, NK and B lymphocyte counts of group B spiked as compared with those of group A during primary infection and the differences were statistically significant (all P<0.01). The levels of SCr and UA in group B differed insignificantly before and after primary infection with SARS-CoV-2. However, the differences before and after reinfection were statistically significant (both P<0.01) . Conclusion:Symptomatic and immunocompromised pediatric KT recipients during primary infection with SARS-CoV-2 are more prone to reinfection during subsequent epidemics. Though mildly symptomatic, reinfection may exacerbate impairments of graft kidney function in pediatric KT recipients.

Objective:To explore the characteristic pathological manifestations of non-HLA antibodies after kidney transplantation (KT) and examine the differences of MFT values of non-HLA antibodies in different pathological manifestations.Methods:The study was conducted on KT recipients at the First Affiliated Hospital of Zhengzhou University from February 2021 to June 2023 with unexplained elevated serum creatinine. Patients undergoing pathological puncture and concurrent HLA antibody testing were included, focusing on those with DSA (MFI>4 000) and non-HLA antibody negativity. According to the detection results of non-HLA and HLA antibodies, they were assigned into two groups of non-HLA antibody positive (45 cases) and HLA-DSA positive (28 cases). Both non-HLA and HLA antibodies were detected by luminex single antigen microbeads, χ2, t or Mann-Whitney U nonparametric tests were utilized for examining the inter-group differences in pathological manifestations. The recipients with positive non-HLA antibodies were grouped according to the differential pathological features[microvascular inflammation group (22 cases) and non-microvascular inflammation group (23 cases), interstitial fibrosis group (39 cases) and non-interstitial fibrosis (9 cases) ]. MFI values of non-HLA antibodies were standardized and heat map was generated with R language ComplexHeatmap package. The differences of response values of non-HLA antibodies with different pathological manifestations were examined by rank-sum test. Results:The positive rates of microvascular inflammation were 48.9% (22/45) and 82.1% (23/28) in HLA-DSA positive and non-HLA antibody positive groups with statistical significance ( χ2=8.073, P=0.006). The positive rates of interstitial fibrosis in two groups were 80.8% (36/45) and 53.6% (15/28) and the difference was statistically significant ( χ2=5.726, P=0.021). The relative levels of anti-arachnotoxin receptor 1 (Latrophilin 1, LPHN1), keratin 8 (KRT8), keratin 18 (KRT18) and Sjogren's syndrome antigen B (SSB) were higher in microvascular inflammation group than those in non-microvascular inflammation group. The differences were statistically significant [559.50 (262.00, 801.25) vs 285.00 (183.00, 460.00), P=0.024; 504.50 (369.5, 725.25) vs 317.00 (231.50, 458.00), P=0.014; 672.50 (454.50, 969.50) vs 399.00 (246.50, 772.50), P=0.030; 967.50 (482.00, 2 066.50) vs 399.00 (246.50, 772.50), P=0.033]. The relative levels of anti-cyclic citrullinate peptide (CCP), colony-stimulating factor 2 (CSF2), intercellular adhesion molecule 1 (ICAM1) and collagen Ⅳ antibody were higher in interstitial fibrosis group than those in non-interstitial fibrosis group with statistical significance [100.00 (79.88, 167.50) vs 64.50 (37.00, 89.00), P=0.016; 146.25 (93.38, 244.75) vs 87.00 (66.00, 105.00), P=0.041; 132.50 (106.38, 229.50) vs 95.00 (55.00, 125.00), P=0.037; 432.50 (280.75, 653.75) vs 208.00 (192.00, 301.00), P=0.028]. Conclusions:As compared with HLA-DSA, the characteristic pathological manifestations of non-HLA antibodies post-KT include a lower incidence of microvascular inflammation and a higher incidence of interstitial fibrosis. For non-HLA antibody response values of characteristic pathological manifestations, the expressions of different non-HLA antibodies vary statistically.