Objective To explore the value of artificial intelligence(AI)based multi-parameter coronary CT angiography(CCTA)features combined with clinical indicators for predicting coronary plaque progression.Methods Totally 143 coronary atherosclerosis(AS)patients were retrospectively enrolled and divided into progression group(arithmetic average annual growth rate of plaque load＞1％,n=73)and non-progression group(arithmetic average annual growth rate of plaque load＜1％,n=70).The baseline clinical data,CT-derived fractional flow reserve(CT-FFR),perivascular fat attenuation index(FAI),and quantitative plaque features were collected and compared between groups.For variables being statistically different between groups,those had collinearity with others were excluded,and then multivariable logistic regression was used to screen independent predictors of plaque progression from the retained variables,and a combined model was constructed.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of this model.Results Progression group had higher proportions of hypertension and diabetes,higher apolipoprotein A1(ApoA1)and high-sensitivity C-reactive protein(hs-CRP)levels but lower high-density lipoprotein cholesterol(HDL-C)levels than non-progression group(all P＜0.05).Progression group showed smaller minimum lumen area and lower CT-FFR,but greater degree of lumen stenosis,total plaque volume,plaque load,non-calcified plaque volume,lipid-rich plaque volume,fibrolipid plaque volume and FAI values than non-progression group(all P＜0.05).Plaque types were different between groups(P＜0.05).Diabetes,low HDL-C,small minimum lumen area and large lipid-rich plaque volume were all independent predictors of plaque progression in patients with coronary AS(all P＜0.05),and the AUC of the combined model for predicting plaque progression was 0.859.Conclusion Multi-parameter CCTA features based on AI combined with clinical indicators could be used to effectively predict progression of coronary AS plaque.

Objective To explore the value of artificial intelligence(AI)based multi-parameter coronary CT angiography(CCTA)features combined with clinical indicators for predicting coronary plaque progression.Methods Totally 143 coronary atherosclerosis(AS)patients were retrospectively enrolled and divided into progression group(arithmetic average annual growth rate of plaque load＞1％,n=73)and non-progression group(arithmetic average annual growth rate of plaque load＜1％,n=70).The baseline clinical data,CT-derived fractional flow reserve(CT-FFR),perivascular fat attenuation index(FAI),and quantitative plaque features were collected and compared between groups.For variables being statistically different between groups,those had collinearity with others were excluded,and then multivariable logistic regression was used to screen independent predictors of plaque progression from the retained variables,and a combined model was constructed.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of this model.Results Progression group had higher proportions of hypertension and diabetes,higher apolipoprotein A1(ApoA1)and high-sensitivity C-reactive protein(hs-CRP)levels but lower high-density lipoprotein cholesterol(HDL-C)levels than non-progression group(all P＜0.05).Progression group showed smaller minimum lumen area and lower CT-FFR,but greater degree of lumen stenosis,total plaque volume,plaque load,non-calcified plaque volume,lipid-rich plaque volume,fibrolipid plaque volume and FAI values than non-progression group(all P＜0.05).Plaque types were different between groups(P＜0.05).Diabetes,low HDL-C,small minimum lumen area and large lipid-rich plaque volume were all independent predictors of plaque progression in patients with coronary AS(all P＜0.05),and the AUC of the combined model for predicting plaque progression was 0.859.Conclusion Multi-parameter CCTA features based on AI combined with clinical indicators could be used to effectively predict progression of coronary AS plaque.

Based upon the underlying mechanism and pathological evidence of tissue injury of antibody-mediated rejection (AMR) , four etiological and symptomatic therapies were proposed for managing AMR, including etiological treatment of AMR including antibody-targeting, B cell or plasma cell-targeting therapies; strategies for preventing antibody-mediated endothelial damage: an inhibition of complement/antibody dependent cell-mediated pathways; anticoagulant & thrombolytic therapies for thrombotic microangiopathy secondary to endothelial damage ; anti-inflammatory therapies for acute/chronic vascular inflammation secondary to endothelial damage. Etiological treatment is essential for preventing and treating AMR while symptomatic measures, such as anticoagulant, thrombolytic and antiinflammatory therapies, are stressed. Finally the authors devised therapeutic strategies for AMR in 4 different patient groups of non-sensitized allograft recipients, sensitized allograft recipients, individuals with active AMR and those with chronic active AMR.

Objective:To explore the impact of early and late antibody-mediated rejection (AMR) on treatment options and allograft outcomes after kidney transplantation (KT).Methods:From January 2013 to December 2022, the study retrospectively enrolled 141 KT allograft recipients receiving allograft biopsy and diagnosed as AMR according to the Banff 2019 criteria. Recipients with a diagnosis of AMR within 30 days post-KT were classified into early AMR group (n=19) while the remainders assigned as late AMR group (n=122). The outcome endpoints included recipient survival rate, death-censored graft survival rate, follow-up estimated glomerular filtration rate (eGFR) and immunodominant donor-specific antibody (DSA) intensity. Wilcoxon's test was utilized for assessing the differences in eGFR and DSA intensity while Kaplan-Meier curve and Log-rank test were employed for evaluating graft survival impact. Treatment regimens for AMR were collected and categorized.Results:The median follow-up duration was 2.6(1.2, 5.2) year. No graft failure was noted in early AMR group while 44 recipients in late AMR group experienced graft failure, with 34 cases (77.2%) due to AMR progression. The 5-year death-censored graft survival rate was significantly better in early AMR group than that in late AMR group [100% vs 60.1%(50.5%, 71.6%), P=0.002]. The one-year change in eGFR for early AMR group was significantly superior to that of late AMR group [19.3(-2.6, 38.1) vs -3.3(-14.0, 5.4), P=0.001]. One-year mean fluorescent intensity (MFI) of early AMR group was 1 158(401.5, 3 126.5). It was significantly lower than that when diagnosed with early AMR [3 120.5(2 392.8, 9 340.0)] and one-year MFI of late AMR group [8 094(2 251.5, 13 560.5)] ( P=0.005, P<0.001). Early AMR group primarily received standard treatment (3/19, 15.8%) and regimens centered on rituximab and/or bortezomib (7/19, 43.8%). Late AMR group mainly received standard (16/122, 13.1%) or intensified regimens (9/122, 7.4%) and regimens focused upon rituximab and/or bortezomib (32/122, 26.2%) and MP monotherapy (21/122, 17.2%). Conclusion:The outcome for early AMR is significantly better than that for late AMR. For early AMR, early and robust immunosuppression is recommended. For late AMR, early detection and timely treatment are crucial and individualized strategies should be implemented.

This report described one patient of giant polycystic liver and polycystic kidney involving iliac fossa. Preoperative computed tomography (CT) revealed a large polycystic kidney occupying partially iliac fossa space. A decompression of lower pole of original kidney was planned for placing transplanted kidney. During total liver resection plus orthotopic liver transplantation, right polycystic kidney could move up on its own and iliac fossa space was released for placing transplanted kidney smoothly. Polycystic kidney shrunk markedly post-operation. It provided references for surgical planning of combined liver-kidney transplantation for this type of disease.

Objective:To explore the morbidity features and therapeutic outcomes of rejections in pediatric kidney transplantation (KT) recipients.Methods:Between January 2013 and June 2022, 360 children undergoing KT were recruited.The relevant clinical data were collected for examining the morbidity features and therapeutic outcomes of rejections.The serum levels of creatinine were compared among groups by non-parametric rank test.And Kaplan-Meier and Log-rank methods were employed for examining the incidence of rejection and comparing mortality-censored graft survival rates among patients with different times of rejection.Results:A total of 58 recipients had 82 incidents of rejection with a cumulative incidence of 6.3%, 9.2% and 11.3% at 3/6/12 months respectively.Among 50 incidents of biopsy-proved rejections, the types were T cell-mediated rejection [TCMR, 42.0%(21/50)], antibody-mediated rejection [20.0%(10/50), ABMR] and mixed rejection [38.0%(19/50)].Among 58 incidents of initial rejection, 69% had maintained graft function (MGF) and 31% impaired graft function (IGF) after anti-rejection regimens.Among 80.8%, 85.7% and 75% of recipients with clinical rejection, ABMR or borderline rejection while 36.4% in TCMR patients had MGF.Fifteen kidney allografts lost function in 58 recipients with rejection.Five-year death-censored graft survival was significantly lower in patients with two or more incidents of rejection (30.5%, 95% CI: 12.3%-75.4%) than in those without rejection (92.9%, 95% CI: 89.3%-96.6%) ( P<0.000 1) or with only one rejection (82.9%, 95% CI: 65.9%-100%)( P<0.001). Conclusions:The rejection rate remains high in KT children and it affects graft survival.And TCMR is more likely to cause impaired graft function.Recurrent rejections have a more pronounced impact upon graft survival.

ObjectiveTo investigate the effect of Zhizi Dahuang decoction （ZZDHT） in the treatment of alcoholic liver disease （ALD） by improving oxidative stress in hepatic neutrophils. MethodsNetwork pharmacology was used to obtain the chemical components of ZZDHT and their corresponding action targets and analyze the potential targets and functional pathways of ZZDHT in the treatment of ALD. The non-target metabolomics technology was used to observe the changes in the metabolites of ZZDHT in mouse serum and liver. The mice were given ZZDHT at a dose twice as much as the middle dose concentration by gavage， and serum and liver samples were collected at six time points after gavage （10 minutes， 30 minutes， 1 hour， 2 hours， 4 hours， and 6 hours） and were then mixed for mass spectrometry （administration group with 18 mice）， while the 18 mice in the control group were given an equal volume of normal saline by gavage. Ultra-performance liquid chromatography was used for rapid isolation and identification of the metabolites of ZZDHT in serum and liver tissue， and the effective constituents of ZZDHT were validated. Male C57BL/6J mice， aged 8 weeks， were randomly and equally divided into control group， model group， and low-， middle-， and high-dose ZZDHT groups， with 10 mice in each group. All mice except those in the control group were used to establish a mouse model of ALD （NIAAA model mice）， and at the same time， the mice in the administration groups were given low-， middle-， and high-dose ZZDHT by gavage， while those in the control group and the model group were given an equal volume of normal saline by gavage. The serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and triglyceride （TG） were measured； PCR was used to measure the gene expression levels of related inflammation， oxidative stress， and neutrophil indicators in the liver； ELISA was used to measure the levels of related inflammation and oxidative stress indicators in serum； superoxide dismutase （SOD）， glutathione peroxidase （GSH-Px）， and malondialdehyde （MDA） were measured to observe the level of oxidative stress in the liver； HE staining， myeloperoxidase staining， and oil red staining were used to observe liver injury， neutrophil infiltration， and lipid deposition. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsA total of 53 active components and 227 target genes were obtained for ZZDHT， and there were 8685 target genes of ALD， resulting in 222 common target genes between these two groups of genes. Core pathways included the interleukin-6 signaling pathway and the TNF signaling pathway. The non-targeted metabolic analysis of ZZDHT obtained 225 metabolites in mouse liver and 227 metabolites in serum， among which there were 126 common metabolites. The core pathways of liver metabolites included glycerolipid metabolism and inflammatory mediator regulation of TRP channels， and the core pathways of serum metabolites included the AMPK signaling pathway and oxidative phosphorylation， all of which were associated with oxidative stress- and inflammation-related pathways. Compared with the model group， the low-， middle-， and high-dose ZZDHT groups had significant reductions in the serum levels of ALT， AST， and TG （all P<0.05）， and the middle-dose ZZDHT group had significant reductions in the levels of Ly6g， Ncf1， Ncf2， IL-6， TNF-α， IL-1β， MDA， 4-HNE， Gp91， and P22 in the liver （all P<0.05）， a significant increase in the level of SOD （P<0.05）， a significant reduction in the serum level of 4-HNE （P<0.05）， and a significant increase in the level of GSH-Px （P<0.05）. There were significant improvements in fat deposition and neutrophil infiltration in the liver of mice in the middle-dose ZZDHT group （both P<0.05）. ConclusionZZDHT significantly reduces oxidative stress and inflammatory response in NIAAA model mice.

Objective:To explore the diagnosis and treatment of transplanted renal artery stenosis(TRAS)in children.Methods:From January 2016 to August 2021, clinical data of 7 TRAS patients were collected.A definite diagnosis was confirmed by Doppler ultrasound and computed tomography angiography.Results:Patient age was significantly higher than donor age(11.9±3.7 vs 1.0±0.5 years, P<0.001); 5 patients had a widened diameter at stenotic grafted renal artery after intervention(1.98±0.47 vs 4.64±1.19 mm, P=0.002). A reduction in peak systolic flow velocity in stenotic segment of artery(463.3±90.6 vs 183.6±58.9 cm/s, P<0.001)and lower systolic blood pressure(137.2±15.5 vs 129.7±12.3 mmHg, P=0.029)were observed.Resistance index rose(0.38±0.22 vs 0.60±0.03, P=0.063). Significant difference of estimated glomerular filtration rate was observed at Week 4 post-operation as compared with pre-intervention.Two patients developed complications after intervention, including perirenal hematoma and stent-attached thrombus.Two patients were treated conservatively with a gradual increase in blood pressure and three antihypertensive drugs prescribed. Conclusions:Doppler ultrasound should be performed regularly after renal transplantation for detecting TRAS at an early stage in children.Interventional treatment is ideal for severe TRAS to improve perfusion and renal function.Clinicians should pay more attention to complications.

Nonalcoholic fatty liver disease (NAFLD) is characterized by excessive accumulation of hepatic lipids and metabolic stress-induced liver injury. There are currently no approved effective pharmacological treatments for NAFLD. Traditional Chinese medicine (TCM) has been used for centuries to treat patients with chronic liver diseases without clear disease types and mechanisms. More recently, TCM has been shown to have unique advantages in the treatment of NAFLD. We performed a systematic review of the medical literature published over the last two decades and found that many TCM formulas have been reported to be beneficial for the treatment of metabolic dysfunctions, including Potentilla discolor Bunge (PDB). PDB has a variety of active compounds, including flavonoids, terpenoids, organic acids, steroids and tannins. Many compounds have been shown to exhibit a series of beneficial effects for the treatment of NAFLD, including anti-oxidative and anti-inflammatory functions, improvement of lipid metabolism and reversal of insulin resistance. In this review, we summarize potential therapeutic effects of TCM formulas for the treatment of NAFLD, focusing on the medicinal properties of natural active compounds from PDB and their underlying mechanisms. We point out that PDB can be classified as a novel candidate for the treatment and prevention of NAFLD.