Objective To observe the ultrasonic manifestations of abdominal pregnancy.Methods Ultrasonic and clinical data of 18 pregnant woman with abdominal pregnancy diagnosed by operation and pathology were retrospectively analyzed.Results Among 15 cases in first trimester,no preoperative ultrasonic diagnosis of abdominal pregnancy was obtained.Ultrasound showed no gestational sac in uterine cavity but mass in pelvic cavity,which located in the adnexal region in 8 cases,in the front and the post of uterus each in 2 cases,while in the adnexal region and the front of uterus in 1 case,in the post of the cervix in 1 case,and closed to uterine wall in 1 case,without obvious tubal echo around mass in all 15 cases.There were 2 cases of abdominal pregnancy in the second trimester,which were first diagnosed with ultrasound at 13+6 weeks and 21 weeks,with gestational sac located on the left side of uterus and behind the uterus,respectively.One case of abdominal pregnancy in the third trimester was first diagnosed with ultrasound at 35 4 weeks,with gestational sac located on the right side of uterus.Ultrasonic manifestations of the above three cases all showed gestational sac located outside the uterus without myometrium wrapping around the gestational sac nor placenta implanted in uterus,while echoes of fluid accumulation were detected around fetus.The ultrasonic diagnosis rate of abdominal pregnancy was 16.67％(3/18).Conclusion In the first trimester,if the ectopic pregnancy mass was large or the gestational sac located adjacent to the cervix,anterior or posterior to uterus and on the uterine wall,also no fallopian tube-like echo around the mass,the possibility of abdominal pregnancy should be considered.Ultrasonic manifestations of abdominal pregnancy in the second and third trimester present as gestational sac outside uterine cavity without wrapping uterine muscle layer around,no placenta implantation in uterine cavity,as well as echoes of fluid accumulation around fetus.Transabdominal combined with transvaginal ultrasound could improve diagnostic rate of abdominal pregnancy.

In recent years, the spread of clubroot disease caused by Plasmodiophora brassicae infection has seriously affected the yield and quality of Brassica juncea (L.) Czern.. The cascade of mitogen-activated protein kinases (MAPKs), a highly conserved signaling pathway, plays an important role in plant responses to both biotic and abiotic stress conditions. To mine the MAPK genes related to clubroot disease resistance in B. juncea, we conducted a genome-wide analysis on this vegetable, and we analyzed the phylogenetic evolution and gene structure of the MAPK gene family in mustard. The 66 BjuMAPK genes identified by screening the whole genome sequence of B. juncea were unevenly distributed on 17 chromosomes. At the genomic scale, tandem repeats led to an increase in the number of MAPK genes in B. juncea. It was found that members of the same subfamily had similar gene structures, and there were great differences among different subfamilies. These predicted cis-acting elements were related to plant hormones, stress resistance, and plant growth and development. The expression of BjuMAPK02, BjuMAPK15, BjuMAPK17, and BjuMAPK19 were down-regulated or up-regulated in response to P. brassicae infection. The above results lay a theoretical foundation for further studying the functions of BjuMAPK genes in B. juncea in response to the biotic stress caused by clubroot disease.
Mustard Plant/parasitology* ; Plasmodiophorida/pathogenicity* ; Plant Diseases/genetics* ; Mitogen-Activated Protein Kinases/metabolism* ; Phylogeny ; Disease Resistance/genetics* ; Gene Expression Regulation, Plant ; Genome, Plant ; Plant Proteins/genetics*

Psoriasis, a chronic, immune-mediated inflammatory disease characterized by hyperproliferation of keratinocytes, is difficult to cure and prone to relapse, often leading to systemic damage. Triptolide (TPL) can modulate cutaneous immune responses and inflammation, yet its therapeutic window is narrow with significant toxicity. To enhance skin targeting and retention of TPL while reducing systemic absorption and toxicity, a TPL/hyaluronic acid/phospholipid polymeric micelle (TPL/HA-DOPE) was constructed via HA's targeting of the CD44 receptor on skin cells. The prepared TPL/HA-DOPE exhibited a uniform spherical morphology with particle size of (130.4±1.23) nm, drug loading capacity of (19.74±0.084) %, and encapsulation efficiency of (85.53±1.34) %. Transdermal permeation studies in vitro and in vivo demonstrated that TPL/HA-DOPE not only enhanced uptake in HaCaT cells but also exhibited excellent skin retention. In a murine model of psoriasis, the TPL/HA-DOPE gel at the dose of 50 μg/(kg•d) showed the most significant improvement in erythema, scaling, and epidermal thickening. Histological analysis confirmed that TPL/HA-DOPE markedly reduced stratum corneum thickness, epidermal hyperplasia, and inflammatory cell infiltration. Ki67 immunostaining proved that its anti-inflammatory mechanism might be achieved by reducing the number of Ki67-positive cells and lowering the levels of inflammatory factors IL-6 and TNF-α. The above results demonstrate that HA-DOPE as a drug delivery carrier for the treatment of psoriasis-like skin diseases has high value of scientific research and good prospects for clinical application.

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.

Objective:To explore the impact of the two-way referral model on compliance and prognosis in patients with heart failure.Methods:This bidirectional cohort study enrolled chronic heart failure (CHF) patients treated at Qilu Hospital of Shandong University or designated primary hospitals between March 2018 and March 2022. Patients were categorized into two groups based on referral status: two-way referral group (participating in the referral model with≥1 follow-up visit at primary hospitals) and the core hospital group (receiving treatment and follow-up exclusively at Qilu Hospital). Baseline clinical characteristics were collected and compared between groups. Patients underwent followed-up, with primary endpoints including follow-up rate, drug (β-blockers, angiotension converting enzyme inhibitor (ACEI)/angiotensin Ⅱ receptor blockers (ARB)/angiotensin receptor-neprilysin inhibitor (ARNI), sodium-glucose cotransporter 2 inhibitors and mineralocorticoid receptor antagonists) utilization rate and target dose achievement rate. Secondary endpoints encompassed changes from baseline in left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDd), and N-terminal pro-brain natriuretic peptide (NT-proBNP), plus cardiovascular mortality and heart failure rehospitalization. Generalized linear mixed models analyzed longitudinal trends in LVEF, LVEDd, and NT-proBNP levels. Kaplan-Meier curves and Cox regression evaluated LVEF recovery rates, supplemented by subgroup analyses. Multivariate logistic regression was used to identify factors influencing target dose achievement rate for β-blockers and ACEI/ARB/ARNI therapies in CHF patients.Results:A total of 357 patients were enrolled, aged 53 (41, 63) years, including 256 males (71.7%). 157 patients were in the two-way referral group and 200 patients in the core hospital-treated group. Compared with the core hospital-treated group, the two-way referral group had lower baseline LVEF (28 (22, 34)% vs. 31 (23, 36)%, P=0.021) and systolic blood pressure (116 (104, 125) mmHg vs. 121 (109, 134) mmHg (1 mmHg=0.133 kPa), P=0.010). The 12-month follow-up rate of the two-way referral group was higher than the core hospital-treated group (73.8% vs. 56.0%, P=0.004). No significant between-group differences were observed in drug utilization rate of β-blockers, ACEI/ARB/ARNI, or sodium-glucose cotransporter 2 inhibitors during follow-up (all P>0.05), while mineralocorticoid receptor antagonists use showed a declining trend in both groups. Although the core hospital-treated group had higher target dose achievement rates for β-blockers (65.4% vs. 49.3%, P=0.042) and ACEI/ARB/ARNI (79.8% vs. 65.8%, P=0.046) than the two-way referral group, multivariate logistic regression indicated that the two-way referral model was not a negative predictor for these outcomes (all P>0.05). Both groups showed improved NT-proBNP, LVEDd, and LVEF from baseline (all P<0.001) with no significant difference in trends between groups (all P>0.05). There was no significant difference in the composite incidence (7.6% vs. 6.5%, P=0.674) and cumulative incidence (log-rank P=0.684) of cardiovascular death and heart failure rehospitalization at 12 months between two groups. Conclusion:The two-way referral model demonstrates advantages in improving medication adherence, drug utilization rates, and targetdoseachievement rates among CHF patients. This model not only promotes cardiac functional recovery but also reduces risks of cardiovascular mortality and heart failure rehospitalization, achieving comparable therapeutic and management outcomes to those observed in core hospital-treated patients.

Objective To explore the correlation between tongue features of type 2 diabetes patients with coronary heart disease and glycosylated hemoglobin,liver function,blood lipids,C-reactive protein,so as to provide reference for related research.Methods Using the TFDA-1 tongue imaging device to collect patients'tongue images,experts will interpret the tongue images and extract objective parameters of the tongue images through the intelligent auxiliary diagnosis system of traditional Chinese medicine tongue diagnosis;Record patient laboratory indicators and use SPSS statistical software to analyze the correlation between tongue image distribution characteristics,tongue image parameter characteristics,and laboratory indicators using Spearman method.Results 702 patients with type 2 diabetes and coronary heart disease were included.In terms of glycated hemoglobin indicators,bruising parameters are positively correlated with HbA1c,while tongue tip RGB values are negatively correlated with HbA1c.In terms of liver function indicators,tongue edge redness,tongue tip and tongue texture R value are positively correlated with ALT and AST;Red tongue tip,tooth marks on the tongue,etc.are positively correlated with ALT;Fat tongue is positively correlated with AST.In terms of blood lipid indicators,parameters such as tooth mark tongue and tooth mark are positively correlated with TG;The parameters of white coating and tongue coating area are positively correlated with LDL-C;Thin coating is positively correlated with HDL-C,while thick coating is negatively correlated with HDL-C;Red tongue is negatively correlated with TCHO.In terms of C-reactive protein,red tongue,tip red,and edge red are positively correlated with CRP;The GB value of tongue root and tongue substance is negatively correlated with CRP.Conclusion Type 2 diabetes patients with coronary heart disease have tongue picture distribution,tongue shape parameters,tongue color parameters,coating color parameters and HbA1c,ALT,AST,TCHO,TG,HDL-C,LDL-C,CRP indicators in varying degrees of correlation.The combination of patients'tongue picture and laboratory indicators is helpful to clarify the diagnosis and prognosis of type 2 diabetes with coronary heart disease.

This article reported a case of a newborn with congenital absence of the penis. The prenatal examinations were unremarkable. Physical examination of the newborn revealed abnormal external genitalia, with well-developed scrotum and fully descended testicle in normal size, but without the penis. Postnatal ultrasound showed no obvious signals of uterus and ovaries in pelvis and had normal bilateral testicles and urinary system. The diagnosis was congenital absence of the penis.

Objective To explore the correlation between tongue features of type 2 diabetes patients with coronary heart disease and glycosylated hemoglobin,liver function,blood lipids,C-reactive protein,so as to provide reference for related research.Methods Using the TFDA-1 tongue imaging device to collect patients'tongue images,experts will interpret the tongue images and extract objective parameters of the tongue images through the intelligent auxiliary diagnosis system of traditional Chinese medicine tongue diagnosis;Record patient laboratory indicators and use SPSS statistical software to analyze the correlation between tongue image distribution characteristics,tongue image parameter characteristics,and laboratory indicators using Spearman method.Results 702 patients with type 2 diabetes and coronary heart disease were included.In terms of glycated hemoglobin indicators,bruising parameters are positively correlated with HbA1c,while tongue tip RGB values are negatively correlated with HbA1c.In terms of liver function indicators,tongue edge redness,tongue tip and tongue texture R value are positively correlated with ALT and AST;Red tongue tip,tooth marks on the tongue,etc.are positively correlated with ALT;Fat tongue is positively correlated with AST.In terms of blood lipid indicators,parameters such as tooth mark tongue and tooth mark are positively correlated with TG;The parameters of white coating and tongue coating area are positively correlated with LDL-C;Thin coating is positively correlated with HDL-C,while thick coating is negatively correlated with HDL-C;Red tongue is negatively correlated with TCHO.In terms of C-reactive protein,red tongue,tip red,and edge red are positively correlated with CRP;The GB value of tongue root and tongue substance is negatively correlated with CRP.Conclusion Type 2 diabetes patients with coronary heart disease have tongue picture distribution,tongue shape parameters,tongue color parameters,coating color parameters and HbA1c,ALT,AST,TCHO,TG,HDL-C,LDL-C,CRP indicators in varying degrees of correlation.The combination of patients'tongue picture and laboratory indicators is helpful to clarify the diagnosis and prognosis of type 2 diabetes with coronary heart disease.

Mass spectrometry(MS)is one of the core technology in the field of clinical laboratory,which has a series of advantages include high sensitivity,high specificity,and the simultaneous analysis of multi-components.It shows great potential in metabolite detection,proteomic analysis,etc.,which can provide new pathways for early diagnosis and personalized treatment of complex diseases.In recent years,the research of MS technique appears rapid development trend in the field of clinical laboratory.This paper systematically combed the application status and research progress of MS techniques in clinical laboratory,which include mass spectrometry imaging(MSI),matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF MS),inductively coupled plasma mass spectrometry(ICP-MS),cytometry by time-of-flight(CyTOF),and liquid chromatography-tandem mass spectrometry(LC-MS/MS).It focused on their practical applications in disease diagnosis,efficacy assessment,and prognosis judgment,and it anatomized the faced bottlenecks and problems of current technique.Based on the frontline technological trends,it explore the innovative directions of integrating MS technique with emerging bioinformatics,microfluidics,etc.,so as to provide theoretical basis and practical reference for promoting the standardized and intelligent development of MS technique in clinical laboratory,and help its wide application in clinical diagnosis and treatment.