1.The effectiveness of computer-based monitoring system for patients with breast cancer receiving adjuvant hormonal therapy
Chunqing WANG ; Yan HU ; Mibin WU ; Jiajia QIU ; Yehui ZHU ; Zhenqi LU ; Jialing HUANG
Chinese Journal of Nursing 2017;52(3):261-266
Objective To evaluate the effect of nurse-led follow-up on medication adherence and quality of life for breast cancer patients receiving adjuvant hormonal therapy.Methods A randomized controlled trial was conducted with 157 patients in the intervention group and 154 in the control group.A self-design web-database medication monitoring platform was designed for managing patients such as texting,reminding and mailing.Participants were randomized to follow-up care as usual(yearly outpatient clinic visits) or nurse-led telephone follow-up(monthly consultation with structured intervention).Telephone follow-up was performed by four trained breast care nurses (BCN) and consisted of a semi-structured interview including managing the side-effects of endocrine therapy,compliance with hormonal therapy and an open discussion of these issues.Patients' medication adherence and quality of life were evaluated by Morisky Medication Adherence Questionnaire(MAQ) and FACT-B at baseline and 3,6 18 and 24 months,respectively.Results The Nurse-led telephone follow-up did not significantly improve the quality of life(P>0.05).MAQ score in the intervention group was significantly greater than that in the control group(P<0.05) at 3,6,18 and 24 months.Conclusion Nurse-led follow-up using computer-based monitoring system can improve patients' medication adherence,but there is no obvious increase in quality of life.
2.Characteristic profiles of biofilm, enterotoxins and virulence of Staphylococcus aureus isolates from dairy cows in Xinjiang Province, China
Yehui WU ; Jing LI ; Mengfan QIAO ; Dan MENG ; Qingling MENG ; Jun QIAO ; Xingxing ZHANG ; Lixia WANG ; Kuojun CAI ; Jinsheng ZHANG ; Zaichao ZHANG ; Weiwei YU ; Xuepeng CAI
Journal of Veterinary Science 2019;20(6):e74-
As an important zoonotic pathogen, Staphylococcus aureus has led to serious mastitis and endometritis in infected dairy cows. In this study, a total of 164 strains of S. aureus were isolated from dairy cows in Xinjiang Province, China, and subjected to assays to determine drug susceptibility and biofilm (BF) formation ability. Enterotoxin-related genes were detected, and the transcription levels of genes related to BF formation were determined by using reverse transcription-quantitative polymerase chain reaction. Moreover, the pathogenicity of isolates with different BF formation abilities was determined by measuring their hemolysis activity, half lethal dose (LD₅₀) and organ bacterial load. The results showed that 86.0% of S. aureus isolates could form BF. Among them, 42.1% of the strains had weak BF formation ability, and most strains with a strong BF formation ability were ica gene carriers. The S. aureus isolates displayed multidrug resistance and their drug resistance was positively correlated with their BF formation ability. Moreover, 96.3% of the S. aureus isolates carried enterotoxin genes. Among them, the detection rates of the novel enterotoxin genes were higher than those of conventional enterotoxin genes. Furthermore, isolates with a strong BF formation ability had higher LD50 but lower hemolysis ability and organ bacterial load than those of the isolates with weak or no BF ability. However, isolates without BF ability produced more severe pathological changes than those of isolates with strong BF formation ability. These findings suggest that higher BF ability and presence of novel enterotoxin genes are important characteristics of S. aureus isolates from dairy cows in Xinjiang Province, China, and such isolates may pose potential threats to food safety.
Bacterial Load
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Biofilms
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China
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Drug Resistance
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Drug Resistance, Microbial
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Drug Resistance, Multiple
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Endometritis
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Enterotoxins
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Female
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Food Safety
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Hemolysis
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Lethal Dose 50
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Mastitis
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Polymerase Chain Reaction
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Staphylococcus aureus
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Staphylococcus
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Virulence
3. Functions of CRABP2 in tumorigenesis and progression
Jiajia LIU ; Yan GAO ; Yehui ZHANG ; Jing WU
Chinese Journal of Clinical Pharmacology and Therapeutics 2023;28(1):86-92
Retinoic acid (RA) is a metabolic intermediate of vitamin A, which plays an important role in embryonic development and cell growth and differentiation. Cellular retinoic acid-binding proteins 2 (CRABP2) are a group of low-molecular weight intracellular proteins whose primary physiological function is to transport RA to the nucleus. Generally, CRABP2 binds to the retinoic acid receptor (RAR), then regulates specific downstream signaling pathways to function. Abnormal expression of CRABP2 was closely related to several human malignant tumors, and could affect the tumor occurrence and development through regulating multiple growth or apoptosis associated pathways or key biological molecules. Therefore, CRABP2 may be considered as a new diagnostic and prognostic marker for cancer, and a new therapeutic target for malignant tumors. Our present article summarizes the relationship between CRABP2 and tumor progression, drug resistance and prognosis, so as to provide reference for the future research.
4.Application of biomaterials in cardiac regeneration and repair
Chinese Journal of Arteriosclerosis 2024;32(6):539-546
Myocardial infarction is myocardial necrosis caused by acute and persistent ischemia and hypoxia of coro-nary artery,with high incidence rate and mortality.Although the recovery of blood supply through coronary intervention or thrombolytic drugs can improve the survival rate of patients,it is difficult to rescue the lost cardiomyocytes in the infarcted area,and the limited self repair ability of the adult mammalian heart is the main factor that causes myocardial fibrosis and eventually progresses to heart failure.For a long time,the existing treatment methods are difficult to reverse the process of heart failure after myocardial infarction.Cell transplantation is a promising therapeutic method to promote the repair and regeneration of infarcts.Due to the ischemia and hypoxia microenvironment,the limited survival and retention of stem cells after transplantation are not ideal.And acellular biomaterials promoting angiogenesis and reducing fibrosis show the potential of preclinical treatment.This paper summarizes the advantages and disadvantages of various acellular biomateri-als,epicardial infarct repair and intramyocardial injection in a minimally invasive manner to promote cardiac regeneration and improve cardiac function,and to promote myocardial regeneration by combining acellular biomaterials with optimized drugs in the future for reference.
5.Class-imbalance Prediction and High-dimensional Risk Factor Identification of Adverse Reactions of Traditional Chinese Medicine with Centralized Monitoring in Real-world Hospitals
Feibiao XIE ; Yehui PENG ; Wei YANG ; Jinfa TANG ; Juan LIU ; Weixia LI ; Hui ZHANG ; Dongyuan WU ; Yali WU ; Yuanming LENG ; Xinghua XIANG
Chinese Journal of Experimental Traditional Medical Formulae 2023;29(14):114-122
ObjectiveTo achieve high-dimensional prediction of class imbalanced of adverse drug reaction(ADR) of traditional Chinese medicine(TCM) and to classify and identify risk factors affecting the occurrence of ADR based on the post-marketing safety data of TCM monitored centrally in real world hospitals. MethodThe ensemble clustering resampling combined with regularized Group Lasso regression was used to perform high-dimensional balancing of ADR class-imbalanced data, and then to integrate the balanced datasets to achieve ADR prediction and the risk factor identification by category. ResultA practical example study of the proposed method on a monitoring data of TCM injection performed that the accuracy of the ADR prediction, the prediction sensitivity, the prediction specificity and the area under receiver operating characteristic curve(AUC) were all above 0.8 on the test set. Meanwhile, 40 risk factors affecting the occurrence of ADR were screened out from total 600 high-dimensional variables. And the effect of risk factors on the occurrence of ADR was identified by classification weighting. The important risk factors were classified as follows:past history, medication information, name of combined drugs, disease status, number of combined drugs and personal data. ConclusionIn the real world data of rare ADR with a large amount of clinical variables, this paper realized accurate ADR prediction on high-dimensional and class imbalanced condition, and classified and identified the key risk factors and their clinical significance of categories, so as to provide risk early warning for clinical rational drug use and combined drug use, as well as scientific basis for reevaluation of safety of post-marketing TCM.