1.Identification of Rare 3.5 kb Deletion in the β-Globin Gene Cluster.
Yun-Hua FAN ; Cui-Lin DUAN ; Sai-Li LUO ; Shi-Jun GE ; Chong-Fei YU ; Jue-Min XI ; Jia-You CHU ; Zhao-Qing YANG
Journal of Experimental Hematology 2025;33(1):175-179
OBJECTIVE:
To identify the gene mutation types of 4 suspected β-thalassemia patients in Yunnan Province, and to analyze the genotypes and hematological phenotypes.
METHODS:
Whole genome sequencing was performed on the samples of 4 suspected β-thalassemia patients from the Dai ethnic group in a thalassemia endemic area of Yunnan Province, whose hematological phenotypes were not consistent with the results of common thalassemia gene mutations. The mutations of β-globin gene clusters were confirmed by polymerase chain reaction (PCR) and Sanger DNA sequencing technology.
RESULTS:
The 3.5 kb deletion in β-globin gene cluster (NC_000011.10: g. 5224302-5227791del3490bp) was detected in 4 patients' samples, of which 1 case was also detected with HbE mutation and 1 case with CD17 mutation. These 2 patients displayed moderate anemia phenotype, while the two patients with only the 3.5 kb deletion presented with other mild anemia phenotype.
CONCLUSION
Heterozygous carriers with rare 3.5 kb deletion of the β-globin gene cluster may develop mild anemia, compound mutations of the 3.5 kb deletion with other mutations may led to intermediate thalasemia with moderate to sever anemia. In areas with a high incidence of thalassemia, suspected patients should undergo genetic testing to avoid missing or misdiagnosing rare mutations.
Humans
;
beta-Globins/genetics*
;
Multigene Family
;
beta-Thalassemia/genetics*
;
Mutation
;
Genotype
;
Sequence Deletion
;
Phenotype
;
Male
;
Female
2.A practice guideline for therapeutic drug monitoring of mycophenolic acid for solid organ transplants.
Shuang LIU ; Hongsheng CHEN ; Zaiwei SONG ; Qi GUO ; Xianglin ZHANG ; Bingyi SHI ; Suodi ZHAI ; Lingli ZHANG ; Liyan MIAO ; Liyan CUI ; Xiao CHEN ; Yalin DONG ; Weihong GE ; Xiaofei HOU ; Ling JIANG ; Long LIU ; Lihong LIU ; Maobai LIU ; Tao LIN ; Xiaoyang LU ; Lulin MA ; Changxi WANG ; Jianyong WU ; Wei WANG ; Zhuo WANG ; Ting XU ; Wujun XUE ; Bikui ZHANG ; Guanren ZHAO ; Jun ZHANG ; Limei ZHAO ; Qingchun ZHAO ; Xiaojian ZHANG ; Yi ZHANG ; Yu ZHANG ; Rongsheng ZHAO
Journal of Zhejiang University. Science. B 2025;26(9):897-914
Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C0), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug-drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage*
;
Drug Monitoring/methods*
;
Humans
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Organ Transplantation
;
Immunosuppressive Agents/administration & dosage*
;
Delphi Technique
3.Expert consensus on early orthodontic treatment of class III malocclusion.
Xin ZHOU ; Si CHEN ; Chenchen ZHOU ; Zuolin JIN ; Hong HE ; Yuxing BAI ; Weiran LI ; Jun WANG ; Min HU ; Yang CAO ; Yuehua LIU ; Bin YAN ; Jiejun SHI ; Jie GUO ; Zhihua LI ; Wensheng MA ; Yi LIU ; Huang LI ; Yanqin LU ; Liling REN ; Rui ZOU ; Linyu XU ; Jiangtian HU ; Xiuping WU ; Shuxia CUI ; Lulu XU ; Xudong WANG ; Songsong ZHU ; Li HU ; Qingming TANG ; Jinlin SONG ; Bing FANG ; Lili CHEN
International Journal of Oral Science 2025;17(1):20-20
The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans
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Malocclusion, Angle Class III/classification*
;
Orthodontics, Corrective/methods*
;
Consensus
;
Child
4.Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly.
Ya-Ting AI ; Shi ZHOU ; Ming WANG ; Tao-Yun ZHENG ; Hui HU ; Yun-Cui WANG ; Yu-Can LI ; Xiao-Tong WANG ; Peng-Jun ZHOU
Journal of Integrative Medicine 2025;23(4):390-397
OBJECTIVE:
As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS).
METHODS:
This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA).
RESULTS:
The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS.
CONCLUSION
The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans
;
Cognitive Dysfunction/diagnosis*
;
Aged
;
Male
;
Female
;
Machine Learning
;
Spleen
;
Aged, 80 and over
;
Kidney
;
Medicine, Chinese Traditional
5.Metabolic alkalosis induced by regional citrate anticoagulation in continuous renal replacement therapy: single-center retrospective study
Hanqi TANG ; Qinghong CUI ; Jing SHI ; Huadong ZHU ; Xuezhong YU ; Shengyong XU ; Jun XU
Chinese Journal of Emergency Medicine 2025;34(2):220-225
Objective:Metabolic alkalosis has raised concerns in patients receiving continuous renal replacement therapy (CRRT) via regional citrate anticoagulation (RCA). This study searched for alkalosis-related factors and mechanisms.Methods:It's a retrospective study of alkalosis in patients who received CRRT for at least 12 hours with RCA in a tertiary hospital between April 2017 and April 2020. Demographic features, baseline laboratory results, CRRT metrics and laboratory results at 12h after CRRT was recorded. Patients was grouped based on whether alkalosis exist at 12h after CRRT, and multivariable logistic regression analysis was used to identify risk factors for alkalosis during CRRT with citrate anticoagulation.Results:The 59 patients meeting the inclusion criteria were 49% male, with a mean age of (55±18) years old, and 42% had alkalosis by 12 hours after CRRT. No significant differences in demographic features or laboratory results were observed patients with or without alkalosis. CRRT metrics, including blood flow rate, citrate rate, replacement fluid rate and total effluent rate, were significantly different among groups ( P<0.01). Multivariable Logistic regression analysis indicated that the citrate rate was a risk factor for alkalosis ( OR=1.088, 95% CI 1.020-1.161, P =0.010). In patients receiving no NaHCO 3 and without alkalosis, the linear regression analysis described the relationships of citrate with replacement fluid rate (citrate rate = 0.090 × replacement fluid rate + 56.581; R2 = 0.6918) and total effluent rate (citrate rate = 0.099 × total effluent rate + 2.449). Conclusions:This retrospective observational study demonstrated that CRRT metrics are highly associated with alkalosis after 12 hours of CRRT. Without NaHCO3 infusion, a 10-fold linear correlation was observed between citrate and total effluent rate in patients without metabolic alkalosis.
6.Prediction model related to 6-year risk of frailty in older adults aged 65 years or above in China
Jinhui ZHOU ; Li QI ; Jun WANG ; Sixin LIU ; Wenhui SHI ; Lihong YE ; Zhenwei ZHANG ; Zenghang ZHANG ; Xi MENG ; Jia CUI ; Chen CHEN ; Yuebin LYU ; Xiaoming SHI
Chinese Journal of Epidemiology 2024;45(6):809-816
Objective:To develop a prediction tool for 6-year incident risk of frailty among Chinese older adults aged 65 years or above.Methods:Data from the Chinese Longitudinal Healthy Longevity Survey from 2002 to 2018 was used, including 13 676 older adults aged 65 years or above who were free of frailty at baseline. Key predictors of frailty were identified via the least absolute shrinkage and selection operator (LASSO) method, and were thereafter used to predict the incident frailty based on the Cox proportional hazards regression model. The model was internally validated by 2 000 Bootstrap resamples and evaluated for the performance of discrimination and calibration using the area under the receiver operating characteristic curve (AUC) and calibration curve, respectively. The net benefit of the developed prediction tool was evaluated by decision-curve analysis.Results:The M( Q1, Q3) age and follow-up time of the participants were 81.0 (71.0, 90.0) years and 6.0 (4.1, 9.2) years, respectively. A total of 4 126 older persons (30.2%) were recorded with frailty incidents during the follow-up, with the corresponding incidence density of 41.8/1 000 person-years. A total of 15 key predictors of frailty were selected by LASSO, namely, age, sex, race, education years, meat consumption, tea drinking, performing housework, raising domestic animals, playing cards or mahjong, and baseline status of visual function, activities of the daily living score, instrumental activities of the daily living score, hypertension, heart disease, and self-rated health. The prediction model was internally validated with an AUC of 0.802, with the max Youden's index of 0.467 at a risk threshold of 19.0%. The calibration curve showed high consistency between predicted probabilities and observed proportions of frailty events. The decision curve indicated that higher net benefits could be obtained via the prediction model than did strategies based on intervention in all or none participants for any risk threshold less than 59%, and the model-based net benefit was estimated to be 0.10 at a risk threshold of 19.0%. Conclusions:The herein developed 6-year incident risk prediction model of frailty, based on easily accessible questionnaires and physical examination variables, has good predictive performance. It has application potential in identifying populations at high risk of incident frailty.
7.Postmortem Diffusion of Aconitum Alkaloids and Their Metabolites in Rabbits
Jia-Hao LIANG ; Ming CHENG ; Xiao-Jun LU ; Yan-Hua SHI ; Yun SUN ; Qing-Lin GUAN ; Tao WANG ; Meng HU ; Ke-Ming YUN ; Hai-Yan CUI
Journal of Forensic Medicine 2024;40(2):186-191
Objective To explore the postmortem diffusion rule of Aconitum alkaloids and their metabo-lites in poisoned rabbits,and to provide a reference for identifying the antemortem poisoning or post-mortem poisoning of Aconitum alkaloids.Methods Twenty-four rabbits were sacrificed by tracheal clamps.After 1 hour,the rabbits were administered with aconitine LD50 in decocting aconite root powder by intragastric administration.Then,they were placed supine and stored at 25℃.The biological samples from 3 randomly selected rabbits were collected including heart blood,peripheral blood,urine,heart,liver,spleen,lung and kidney tissues at 0 h,4 h,8 h,12 h,24 h,48 h,72 h and 96 h after intragastric administration,respectively.Aconitum alkaloids and their metabolites in the biological samples were ana-lyzed by high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Results At 4 h after intragastric administration,Aconitum alkaloids and their metabolites could be detected in heart blood,peripheral blood and major organs,and the contents of them changed dynamically with the preservation time.The contents of Aconitum alkaloids and their metabolites were higher in the spleen,liver and lung,especially in the spleen which was closer to the stomach.The average mass fraction of benzoylmesaconine metabolized in rabbit spleen was the highest at 48 h after intragastric administration.In contrast,the contents of Aconitum alkaloids and their metabolites in kidney were all lower.Aconi-tum alkaloids and their metabolites were not detected in urine.Conclusion Aconitum alkaloids and their metabolites have postmortem diffusion in poisoned rabbits,diffusing from high-content organs(stomach)to other major organs and tissues as well as the heart blood.The main mechanism is the dispersion along the concentration gradient,while urine is not affected by postmortem diffusion,which can be used as the basis for the identification of antemortem and postmortem Aconitum alkaloids poisoning.
8.Regulatory effect of nobiletin on platelet-activating factor in diabetic rats with renal injury
Sen TONG ; Shi-Cui LUO ; Qiu-Qiong YANG ; Bo SONG ; Yu-Qing YANG ; Jun-Zi WU
Acta Anatomica Sinica 2024;55(5):595-603
Objective To investigate the effect of nobiletin on platelet-activating factor(PAF)metabolism in diabetic rats with renal injury.Methods Totally 72 rats were randomly divided into control group(n=10)and modeling group(n=62).The modeling group rats were induced to develop a diabetic rat model with renal injury and then further divided into the model group,aspirin group(20 mg/kg),and nobiletin low(50 mg/kg),medium(100 mg/kg),and high-dose(200 mg/kg)groups,each with 10 rats.After continuous oral administration for 6 weeks,rat body weight,kidney weight,and kidney index were measured.Histopathological assessments were conducted by using HE,periodic acid-Schiff staining(PAS),Masson staining,and transmission electron microscopy.Blood glucose levels,renal function,inflammatory factors,PAF and its regulatory factors were detected.Expression levels of PAF metabolism-related proteins,PAF-acetylhydrolase(PAFAH),PAF receptor(PAFR),and cholinephosphotransferase 1(CHPT1)in kidney tissues were assessed using Western blotting and immunohistochemistry.Results Following nobiletin intervention,rat body weight increased while kidney weight and kidney index decreased.Improvement in renal tissue pathology was observed,with reduced interstitial fibrosis and thinner basement membrane.Fasting blood glucose and glycated hemoglobin decreased,while fasting insulin showed no significant improvement.Urea nitrogen,blood creatinine,cystatin C,and 24-hour urinary protein excretion were reduced.Levels of interleukin(IL)-1α,IL-6,IL-8,and tumor necrosis factor(TNF-α)were lowered.PAF and its regulatory factors decreased.PAFR and CHPT1 expression decreased,while PAFAH increased.Conclusion Nobiletin can alleviate renal injury in diabetic rats with renal injury,improve kidney function,regulate blood glucose,and mitigate inflammatory response.Its mechanism may be associated with the modulation of platelet-activating factor metabolism.
9.Expert consensus on the diagnosis and treatment of osteoporotic proximal humeral fracture with integrated traditional Chinese and Western medicine (version 2024)
Xiao CHEN ; Hao ZHANG ; Man WANG ; Guangchao WANG ; Jin CUI ; Wencai ZHANG ; Fengjin ZHOU ; Qiang YANG ; Guohui LIU ; Zhongmin SHI ; Lili YANG ; Zhiwei WANG ; Guixin SUN ; Biao CHENG ; Ming CAI ; Haodong LIN ; Hongxing SHEN ; Hao SHEN ; Yunfei ZHANG ; Fuxin WEI ; Feng NIU ; Chao FANG ; Huiwen CHEN ; Shaojun SONG ; Yong WANG ; Jun LIN ; Yuhai MA ; Wei CHEN ; Nan CHEN ; Zhiyong HOU ; Xin WANG ; Aiyuan WANG ; Zhen GENG ; Kainan LI ; Dongliang WANG ; Fanfu FANG ; Jiacan SU
Chinese Journal of Trauma 2024;40(3):193-205
Osteoporotic proximal humeral fracture (OPHF) is one of the common osteoporotic fractures in the aged, with an incidence only lower than vertebral compression fracture, hip fracture, and distal radius fracture. OPHF, secondary to osteoporosis and characterized by poor bone quality, comminuted fracture pattern, slow healing, and severely impaired shoulder joint function, poses a big challenge to the current clinical diagnosis and treatment. In the field of diagnosis, treatment, and rehabilitation of OPHF, traditional Chinese and Western medicine have accumulated rich experience and evidence from evidence-based medicine and achieved favorable outcomes. However, there is still a lack of guidance from a relevant consensus as to how to integrate the advantages of the two medical systems and achieve the integrated diagnosis and treatment. To promote the diagnosis and treatment of OPHF with integrated traditional Chinese and Western medicine, relevant experts from Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine have been organized to formulate Expert consensus on the diagnosis and treatment of osteoporotic proximal humeral fracture with integrated traditional Chinese and Western medicine ( version 2024) by searching related literatures and based on the evidences from evidence-based medicine. This consensus consists of 13 recommendations about the diagnosis, treatment and rehabilitation of OPHF with integrated traditional Chinese medicine and Western medicine, aimed at standardizing, systematizing, and personalizing the diagnosis and treatment of OPHF with integrated traditional Chinse and Western medicine to improve the patients ′ function.
10.Expert consensus on the construction, evaluation and application of bone organoids (version 2024)
Jian WANG ; Long BAI ; Xiao CHEN ; Yuanyuan LIU ; Guohui LIU ; Zhongmin SHI ; Kaili LIN ; Chuanglong HE ; Jing WANG ; Zhen GENG ; Weiyang SHI ; Wencai ZHANG ; Fengjin ZHOU ; Qiang YANG ; Lili YANG ; Zhiwei WANG ; Haodong LIN ; Yunfei ZHANG ; Fuxin WEI ; Wei CHEN ; Wenguo CUI ; Fei LUO ; Jun FEI ; Hui XIE ; Jian LUO ; Chengtie WU ; Xuanyong LIU ; Yufeng ZHENG ; Changsheng LIU ; Jiacan SU
Chinese Journal of Trauma 2024;40(11):974-986
Bone organoids can simulate the complex structure and function of the bone tissues, which makes them a frontier technology in organoid researches. Bone organoids show a tremendous potential of applications in bone disease modeling, bone injury repair, and medicine screening. Although advancements have been made so far in constructing bone organoids with functional structures like mineralization, bone marrow, trabecular bone, callus, woven bone, etc, the researches in this field are confronted with numerous challenges such as lack of standardized construction strategies and unified evaluation criteria, which limits their further promotion and application. To standardize researches in bone organoids, the Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, the Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, the Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and the Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine organized related experts to formulate Expert consensus on the construction, evaluation, and application of bone organoids ( version 2024) based on an evidence-based approach. A total of 17 recommendations were put forth, aiming to standardize researches and clinical applications of bone organoids and enhance their value in scientific research and clinical practice.

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