1.Genome-wide identification, characterization, and expression analysis of MAPK genes in response to Plasmodiophora brassicae infection in Brassica juncea.
Chu XU ; Haiping WANG ; Jiangping SONG ; Xiaohui ZHANG ; Huixia JIA ; Jiaqi HAN ; Zhijie LI ; Sen LI ; Wenlong YANG
Chinese Journal of Biotechnology 2025;41(2):736-752
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*
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Plasmodiophorida/pathogenicity*
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Plant Diseases/genetics*
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Mitogen-Activated Protein Kinases/metabolism*
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Phylogeny
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Disease Resistance/genetics*
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Gene Expression Regulation, Plant
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Genome, Plant
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Plant Proteins/genetics*
2.Effect modification of amino acid levels in association between polycyclic aromatic hydrocarbon exposure and metabolic syndrome: A nested case-control study among coking workers
Jinyu WU ; Jiajun WEI ; Shugang GUO ; Huixia XIONG ; Yong WANG ; Hongyue KONG ; Liuquan JIANG ; Baolong PAN ; Gaisheng LIU ; Fan YANG ; Jisheng NIE ; Jin YANG
Journal of Environmental and Occupational Medicine 2025;42(3):325-333
Background Exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with the development of metabolic syndrome (MS). However, the role of amino acids in PAH-induced MS remains unclear. Objective To explore the impact of PAHs exposure on the incidence of MS among coking workers, and to determine potential modifying effect of amino acid on this relationship. Methods Unmatched nested case-control design was adopted and the baseline surveys of coking workers were conducted in two plants in Taiyuan in 2017 and 2019, followed by a 4-year follow-up. The cohort comprised 667 coking workers. A total of 362 participants were included in the study, with 84 newly diagnosed cases of MS identified as the case group and 278 as the control group. Urinary levels of 11 PAH metabolites and plasma levels of 17 amino acids were measured by ultrasensitive performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Logistic regression was used to estimate the association between individual PAH metabolites and MS. Stratified by the median concentration of amino acids, Bayesian kernel machine regression (BKMR) model was employed to assess the mixed effects of PAHs on MS. Due to the skewed data distribution, all PAH metabolites and amino acids in the analysis were converted by natural logarithm ln (expressed as lnv). Results The median age of the 362 participants was 37 years, and 83.2% were male. Compared to the control group, the case group exhibited higher concentrations of urinary 2-hydroxyphenanthrene (2-OHPhe), 9-hydroxyphenanthrene (9-OHPhe), and hydroxyphenanthrene (OHPhe) (P=0.005, P=0.049, and P=0.004, respectively), as well as elevated levels of plasma branched chain amino acid (BCAA) and aromatic amino acid (AAA) (P<0.05). After being adjusted for confounding factors, for every unit increase in lnv2-OHPhe in urine, the OR (95%CI) of MS was 1.57 (1.11, 2.26), and for every unit increase in lnvOHPhe, the OR (95%CI) of MS was 1.82 (1.16, 2.90). Tyrosine, leucine, and AAA all presented a significant nonlinear correlation with MS. At low levels, tyrosine, leucine, and AAA did not significantly increase the risk of MS, but at high levels, they increased the risk of MS. In the low amino acid concentration group, as well as in the low BCAA and low AAA concentration groups, it was found that compared to the PAH metabolite levels at the 50th percentile (P50), the log-odds of MS when the PAH metabolite levels was at the 75th percentile (P75) were 0.158 (95%CI: 0.150, 0.166), 0.218 (95%CI: 0.209, 0.227), and 0.262 (95% CI: 0.241, 0.282), respectively, However, no correlation between PAHs and MS was found in the high amino acid concentration group. Conclusion Amino acids modify the effect of PAHs exposure on the incidence of MS. In individuals with low plasma amino acid levels, the risk of developing MS increases with higher concentrations of mixed PAH exposure. This effect is partly due to the low concentrations of BCAA and AAA.
3.Status and challenges of clinical management of type 1 diabetes mellitus complicated with pregnancy
Chinese Journal of Perinatal Medicine 2025;28(1):23-27
For women with type 1 diabetes mellitus (T1DM) reaching reproductive age, the disease course generally protracted, often accompanied by varying degrees of microvascular complications. Hence, the need for preconception planning and comprehensive screening and management of complications is urgent to avoid serious maternal and fetal complications. The recommended preconception glycated hemoglobin control target is currently set at<6.5%. In cases of unintended pregnancies where pre-existing microvascular complications are present, multidisciplinary standardized management during the pregnancy is essential. Although a multidisciplinary expert consensus on gestational management of T1DM has been published in China in 2020, several issues remain regarding the clinical management of T1DM in pregnancy across the nation. Strengthening nutritionally balanced management, actively and reasonably utilizing insulin therapy, and leveraging new technologies such as the internet plus artificial intelligence hold promise to achieve more optimal glucose control, reduce the incidence of maternal and fetal complications associated with T1DM, and ultimately achieve favorable outcomes for both mother and child.
4.Interpretation of the "Management of Diabetes in Pregnancy: Standards of Care in Diabetes-2025" of American Diabetes Association
Chinese Journal of Perinatal Medicine 2025;28(1):17-22
American Aiabetes Association (ADA) updated the "Management of Diabetes in Pregnancy: Standards of Care in Diabetes-2025" based on the latest medical evidence. The main points of this updated guideline include the preconception counseling section, the continuous glucose monitoring part in the glycemic goals in pregnancy section, the nutritional counseling part and automated insulin delivery systems part in the management of diabetes in pregnancy section, and the use of lipid-lowering drugs medications and statins therapy part in the pregnancy and drug considerations section. This article provides a detailed introduction and interpretation of the updated guidelines, in order to provide a reference for clinical practice.
5.Ultrasonic manifestations of abdominal pregnancy
Quanhua LI ; Jie LI ; Huixia YANG ; Peng TIAN ; Hongbin ZHANG ; Bing LIU ; Yuxin SHEN ; Wenzhe ZHANG ; Liying ZHANG ; Juan WU ; Hezhou LI
Chinese Journal of Medical Imaging Technology 2025;41(1):113-117
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.
6.Factors affecting the hemorrhagic transformation in patients with acute ischemic stroke due to large vessel occlusion of anterior circulation after receiving endovascular treatment
Fanghui SU ; Dong XU ; Huixia TONG ; Sizheng QIU ; Qingcheng YANG
Journal of Interventional Radiology 2025;34(11):1178-1184
Objective To investigate the factors affecting the hemorrhagic transformation(HT)and symptomatic intracranial hemorrhage(sICH)in patients with acute ischemic stroke due to large vessel occlusion(AIS-LVO)of anterior circulation after receiving endovascular treatment(EVT).Methods A total of 193 patients with AIS-LVO of anterior circulation,who were admitted to the Neurology Department of Anyang Municipal People's Hospital of China from January 2023 to November 2024,were enrolled in this study.There were 84 patients in the HT group and 42 patients in the sICH group.The baseline and clinical data,including gender,age,vascular risk factors(history of hypertension,diabetes,coronary artery disease,atrial fibrillation,coronary stent implantation,valve replacement,smoking),stroke history,pre-operative National Institutes of Health Stroke Scale(NIHSS)scores,laboratory indicators(preoperative D-dimer,neutrophil count,lymphocyte count,postoperative total CO2,and CO2 partial pressure),and perioperative indicators(procedure duration,surgical approach,anesthesia type,and preoperative intravenous thrombolysis),were collected.The clinical data were compared between non-HT group and HT group,as well as between non-sICH group and sICH group,and the independent risk factors for HT and sICH after receiving EVT treatment for AIS-LVO of anterior circulation were analyzed.Results The differences in coronary heart disease(x2=8.443,P=0.004),D-dimer(Z=-3.59,P<0.001),preoperative NIHSS score(Z=-3.752,P<0.001),surgical time(Z=-2.529,P=0.011),lesion site(x2=9.951,P=0.019),and moderate to severe stenosis or occlusion of other blood vessels(P=0.025)between the HT group and the non-HT group were statistically significant.The differences in the other baseline indicators and clinical data were not statistically significant(all P>0.05).The multivariate logistic regression analysis showed that preoperative NIHSS score(OR=1.065,95%CI:1.021-1.110,P<0.003),tandem lesions(OR=2.805,95%CI:1.306-6.024,P=0.008),coronary heart disease(OR=2.963,95%CI:1.421-6.174,P=0.004),and operation time(OR=1.009,95%CI:1.001-1.016,P=0.019)were the independent risk factors for HT after EVT.No statistically significant differences in baseline data,occlusion site,coexisting other vascular stenosis,and perioperative related indicators existed between the sICH group and the non-sICH group.Conclusion Preoperative NIHSS score,tandem lesion,coronary artery disease,and operation time are the independent risk factors for HT in patients with AIS-LVO of the anterior circulation after receiving EVT.
7.Progress of drugs targeting the hypoxic microenvironment of leukemia
Lijuan JING ; Huixia WANG ; Lili YANG ; Haiying LI
Journal of Leukemia & Lymphoma 2025;34(2):121-125
Leukemia is a malignant proliferative tumor that seriously endangers the quality of life of patients. In recent years, new research achievements have been made on the pathogenesis of leukemia, and some progresses of various drugs targeting the hypoxic microenvironment of leukemia have been made. This article reviews the progress of drugs targeting hypoxia microenvironment to treat leukemia from the aspects such as reactive oxygen species associated with anoxic microenvironment, hypoxia inducible factor, CXC chemokine receptor and vascular endothelial growth factor.
8.STAR Recommendations: A novel framework for generating recommendations.
Xu WANG ; Janne ESTILL ; Hui LIU ; Qianling SHI ; Jie ZHANG ; Shilin TANG ; Huayu ZHANG ; Xueping LI ; Zhewei LI ; Yaxuan REN ; Bingyi WANG ; Fan WANG ; Juan JUAN ; Huixia YANG ; Xiuyuan HAO ; Junmin WEI ; Yaolong CHEN
Chinese Medical Journal 2025;138(14):1643-1646
9.Effects of Split Formulas of Biyuan Heji on Paranasal Sinus Mucosal Inflammation in ARS Rats Based on the Pathogenesis of"Wind-Cold Transforming into Lung-Heat"
Huixia ZHOU ; Shanshan XUE ; Lu BAI ; Yang FANG ; Xinchen SUN ; Zhiyuan ZHU ; Yongjun WU
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(5):689-695
OBJECTIVE To investigate the effects of the split formulas of Biyuan Heji(BYHJ)on paranasal sinus mucosal in-flammation in rats with acute rhinosinusitis(ARS)based on the pathogenesis of"wind-cold transforming into lung-heat".METHODS Unilateral nasal cavity occlusion combined with nasal dripping of Staphylococcus aureus were performed to establish a rat model of ARS.SD rats were randomly divided into blank,model,BYHJ(wind-cold removal+lung-heat removal),lung-heat removal,wind-cold removal,and positive drug groups,with 6 rats in each group.The rats were treated with the corresponding drugs for 7 d and then the samples were collected.HE staining was used to observe the pathological changes of rat paranasal sinus mucosa tissues,ELISA was employed to determine the levels of interleukin-1β(IL-1β),IL-6,IL-8,IL-9,IL-10,and IL-12 in serum,immunohistochemis-try(IHC)was adopted to measure the protein expression of tumor necrosis factor-α(TNF-α)and intercellular adhesion molecule(ICAM-1)in paranasal sinus mucosa tissues,and Western blot was used to detect the protein expression of phosphorylated p38 mito-gen-activated protein kinase(p38 MAPK),nuclear transcription factor-κB p50(NF-κB p50),and NF-κB p65 in paranasal sinus mucosa tissues.RESULTS The acute sinusitis rat inflammation model was successfully established.Compared with the model group,the water drinking,diet eating,and body weight of rats in the BYHJ group,wind-cold removal,lung-heat removal,and positive drug groups were significantly improved,the aggregation of inflammatory cells in the paranasal sinus mucosal tissue was reduced,and the levels of IL-1β,IL-6,IL-8,IL-9,and IL-12 in the serum were significantly reduced(P<0.01),IL-10 content significantly in-creased(P<0.01),the protein expression of TNF-α,ICAM-1,p38 MAPK,NF-κB p50,and NF-κB p65 in the paranasal sinus mucosa was significantly decreased(P<0.01).The comparison between various traditional Chinese medicine groups showed that the decrease of IL-1β,IL-6,IL-8,IL-9,IL-12,TNF-α,ICAM-1,p38 MAPK,NF-κB p50,and NF-κB p65 and the increase of IL-10 in the BYHJ group were better than those in the split formula groups(P<0.01),and the lung-heat removal group was better than the wind-cold removal group(P<0.01).CONCLUSION BYHJ and its split formulas can effectively inhibit the inflammatory response in rats with ARS.
10.Auxiliary diagnostic model of proliferative lupus nephritis based on machine learning algorithm
Yaning WANG ; Yang DONG ; Na LI ; Linlin LI ; Lina ZHANG ; Huixia CAO ; Lei YAN ; Fengmin SHAO
Chinese Journal of Rheumatology 2025;29(1):31-37
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.

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