Yellowish sweating disease is one of the fluid-retention diseases recorded in Jin Gui Yao Lve(Synopsis of the Golden Cabinet).The symptoms of yellowish sweating disease are complex,involving multiple visceral lesions,which are caused by interior heat and exterior deficiency,together with the concurrent invasion of pathogens of wind and water.Huangqi Shaoyao Guizhi Kujiu Decoction(mainly composed of Astragali Radix,Paeoniae Radix Alba,Cinnamomi Ramulus and vinegar)and Guizhi Plus Huangqi Decoction(mainly composed of Cinnamomi Ramulus and Astragali Radix)are the classical formula for the treatment of yellowish sweating disease.Both of the formulas have the actions of warming defensive qi and dredging yang,removing fluid retention and resolving dampness.Usually suffering heat in the spleen and stomach,together with carelessness in daily living and wind-water pathogens attacking the exterior,contributes to the key pathogenesis of diabetes mellitus.The clinical manifestations,etiology,occurrence and progression,and prognosis of yellowish sweating disease are similar to those of diabetic complications.Therefore,the treatment of diabetes complications such as diabetic kidney disease,diabetic cardiomyopathy,diabetic peripheral neuropathy,diabetes mellitus complicated with liver dysfunction,diabetic foot,and diabetic retinopathy can follow the therapeutic principles of yellowish sweating disease,and can be achieved by the therapies of clearing heat and purging fire,dispelling cold and removing dampness,and nourishing nutritive yin and harmonizing defensive qi with the appropriate formulas.The exploration of the treatment of diabetes mellitus and its complications from the pathogenesis and symptom characteristics of yellowish sweating disease will expand the thoughts for treating diabetic complications with traditional Chinese medicine.

Objective To investigate the application value of 3.0T MR apparent diffusion coefficient(ADC)in prognosis and pathological types of endometrial carcinoma(EC).Methods A total of 114 EC patients were retrospectively selected,and the ADC values of different pathological types were compared.The correlation between ADC and EC prognosis was analyzed by dividing the ADC quintile(Q1-Q5).Results The ADC parameters of EC patients with different pathological types were significantly different(P＜0.05).With the increase of ADC value,the correlation effect size between ADC and EC prognosis also increased(Ptrend＜0.001).ADC had a better predictive effect on EC prognosis.International Federation of Gynecology and Obstetrics(FIGO)stage,myographic invasion and ADC value had interaction with EC prognosis(P interaction＜0.05).Conclusion ADC can be used to distinguish the patho-logical types of EC.Also,ADC is significantly associated with EC prognosis while its correlation effect size increases with the increase of ADC value.ADC value interacted with FIGO stage,as well as with the degree of myographic invasion in predicting EC prognosis.

Objective:To examine the associations of BMI and waist circumference (WC) with the risk of chronic kidney disease (CKD) and its subtypes in adults in China.Methods:The data from the China Kadoorie Biobank were used. After excluding those with cancer, coronary heart disease, stroke, or CKD at baseline survey, 480 430 participants were included in this study. Their body height and weight, and WC were measured at baseline survey. Total CKD was defined as diabetic kidney disease (DKD), hypertensive nephropathy (HTN), glomerulonephritis (GN), chronic tubulointerstitial nephritis (CTIN), obstructive nephropathy (ON), CKD due to other causes, and chronic kidney failure. Cox proportional hazards regression model was used to estimate the associations between exposure factors and risks of outcomes.Results:During a follow-up period of (11.8±2.2) years, 5 486 cases of total CKD were identified, including 1 147 cases of DKD, 340 cases of HTN, 1 458 cases of GN, 460 cases of CTIN, 598 cases of ON, 418 cases of CKD due to other causes, and 1 065 cases of chronic kidney failure. After adjusting for socio-demographic factors, lifestyle factors, baseline prevalence of hypertension and diabetes, and WC and compared to participants with normal BMI (18.5-23.9 kg/m 2), the hazard ratios ( HRs) of total CKD for underweight (<18.5 kg/m 2), overweight (24.0-27.9 kg/m 2), and obese (≥28.0 kg/m 2) were 1.42 (95% CI: 1.23-1.63), 1.00 (95% CI: 0.93-1.08) and 0.98 (95% CI: 0.87-1.10), respectively. Stratification analysis by WC showed that BMI was negatively associated with risk for total CKD in non-central obese participants (WC: <85.0 cm in men and <80.0 cm in women) ( HR=0.97, 95% CI: 0.96-0.99), while the association was positive in central obese participants (≥90.0 cm in men and ≥85.0 cm in women) ( HR=1.03, 95% CI: 1.01-1.05). The association between BMI and GN was similar to that of total CKD. BMI was associated with an increased risk for HTN, with a HR of 1.12 (95% CI: 1.06-1.18) per 1.0 kg/m 2 higher BMI. After adjusting for potential confounders and BMI, compared to participants with non-central obesity, the HRs for pre-central obesity (WC: 85.0-89.9 cm in men and 80.0-84.9 in women) and central obesity were 1.26 (95% CI: 1.16-1.36) and 1.32 (95% CI: 1.20-1.45), respectively. With the exception of HTN and CTIN, WC was positively associated with risks for all CKD subtypes. Conclusions:BMI-defined underweight and central obesity were independent risk factors for total CKD, and BMI and WC had different associations with risks for disease subtypes.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

Tubulin beta 4A class IVa (TUBB4A) spectrum disorders include autosomal dominant dystonia type 4 or hypomyelination with atrophy of the basal ganglia and cerebellum (H-ABC syndrome). However, in rare cases, only mild hypomyelination in the cortex with no basal ganglia atrophy may be observed. We report a case of a family with TUBB4A mutation and complicated hereditary spasticity paraplegia (HSP). We performed quadro whole-exome sequencing (WES) on the family to identify the causative gene of progressive spastic paraparesis with isolated hypomyelination leukodystrophy. We identified a novel TUBB4A p.F341L mutation, which was present in all three affected patients but absent in the unaffected father. The affected patients presented with adult-onset TUBB4A disorder, predominant spastic paraparesis with/without ataxia, and brain hypomyelination with no cognitive impairment or extrapyramidal symptoms. In the literature, HSP is considered a TUBB4A spectrum disorder.

Child ; Humans ; Class I Phosphatidylinositol 3-Kinases/genetics* ; Mutation ; Neoplasms, Germ Cell and Embryonal/genetics*

The postmortem interval (PMI) estimation is a key and difficult point in the practice of forensic medicine, and forensic scientists at home and abroad have been searching for objective, quantifiable and accurate methods of PMI estimation. With the development and combination of high-throughput sequencing technology and artificial intelligence technology, the establishment of PMI model based on the succession of the microbial community on corpses has become a research focus in the field of forensic medicine. This paper reviews the technical methods, research applications and influencing factors of microbial community in PMI estimation explored by using high-throughput sequencing technology, to provide a reference for the related research on the use of microbial community to estimate PMI.
Humans ; Postmortem Changes ; Artificial Intelligence ; Autopsy ; Cadaver ; Microbiota

OBJECTIVES: To investigate the difference in the therapeutic effect of mycophenolate mofetil (MMF) or cyclophosphamide (CTX) in children with Henoch-Schönlein purpura nephritis (HSPN) of different age groups. METHODS: A retrospective analysis was conducted on the clinical data of 135 children with HSPN who were treated with MMF or CTX in the Department of Nephrology, Children's Hospital Affiliated to Capital Institute of Pediatrics, from October 2018 to October 2020. According to the immunosuppressant used, they were divided into two groups: MMF group and CTX group, and according to the age, each group was further divided into two subgroups: ≤12 years and >12 years, producing four groups, i.e, the ≤12 years MMF subgroup (n=30), the >12 years MMF subgroup (n=15), the ≤12 years CTX subgroup (n=71), and the >12 years CTX subgroup (n=19). All children were followed up for at least 12 months, and the above groups were compared in terms of clinical outcomes and the incidence rate of adverse reactions. RESULTS: There was no significant difference in the complete response rate between the MMF group and the CTX group after 3, 6, and 12 months of treatment (P>0.05). There were no significant difference in the complete response rate and the incidence rate of adverse reactions between the >12 years MMF subgroup and the ≤12 years MMF subgroup at 3, 6, and 12 months of treatment (P>0.05). The >12 years CTX subgroup had a significantly lower complete response rate than the ≤12 years CTX subgroup at 6 and 12 months of treatment (P<0.05). The >12 years CTX subgroup had a significantly higher incidence rate of adverse reactions than the >12 years MMF subgroup (P<0.05). CONCLUSIONS The efficacy and adverse reactions of MMF are not associated with age, but the efficacy of CTX is affected by age, with a higher incidence rate of adverse reactions. CTX should be selected with caution for children with HSPN aged >12 years.
Child ; Humans ; Mycophenolic Acid/adverse effects* ; IgA Vasculitis/drug therapy* ; Retrospective Studies ; Cyclophosphamide/adverse effects* ; Immunosuppressive Agents/adverse effects* ; Vasculitis/drug therapy* ; Nephritis/complications*