1.Clinical application of KASP-based RHCE genotyping in RhD-positive patients
Xiaoyu LIAN ; Mengdan LI ; Xiaoyu GUAN ; Li TIAN ; Chenying WANG ; Di WU ; Tianqiong LUO ; Xiaolin DU ; Xin JI ; Haixia XU ; Jue WANG ; Ling LI ; Zhong LIU
Chinese Journal of Blood Transfusion 2026;39(5):596-602
Objective: To develop a RHCE genotyping assay based on kompetitive allele-specific PCR (KASP) and assess its clinical accuracy for RhCE blood group determination. Methods: KASP primers were designed to interrogate three RHCE loci: the 109 bp insertion/deletion in intron 2, c. 307T>C, and c. 676C>G. A total of 1 194 RhD-positive inpatients from Chengdu were typed by both KASP genotyping and manual tube serology. Discordant samples (n=10) were retested by both methods and further resolved by Sanger sequencing. An additional 377 cases were tested for the c. 48C>G locus to evaluate the predictive accuracy of individual loci and combined locus testing for RhC antigen. Results: Genotyping concordance with serology was 100.0% for both the c. 676C>G locus (RhE/Rhe) and the c. 307T>C locus (Rhc). For RhC prediction using the 109 bp insertion, overall accuracy was 99.7% (1 191/1 194); the 3 discordant cases were confirmed by Sanger sequencing to be false negatives attributable to 109 bp deletion in intron 2. Testing the c. 48C>G allele for RhC prediction yielded 7 false positives, with an accuracy of 98.1% (370/377). RhC antigen status was determined by combining the 109 bp insertion and the c. 48C allele. After excluding 10 samples with inconsistent results between the two loci, the accuracy reached 100% in the remaining 367 samples. When both loci were applied in combination, accuracy reached 100% in the 367 cases with concordant results. Among the 1 194 patients, CCee (45.8%) and CcEe (31.7%) were the most common RhCE phenotypes. The e antigen had the highest positivity rate (92.2%), and the Ce haplotype was the most frequent (66.9%). Conclusion: The KASP-based RHCE genotyping method achieves high accuracy for clinical RhCE typing. Combining the 109 bp insertion/deletion with the c. 48C allele significantly improves RhC antigen prediction compared with either locus alone. This method was applied to RhCE genotyping of 1 194 RhD-positive inpatients in Chengdu, providing local RhCE phenotype and haplotype distribution data to support RhCE-matched transfusion practice.
2.Effect of deep muscle stimulation combined with electromyographic biofeedback on the spasms of the triceps surae and gait changes after stroke
Qiming ZHANG ; Di LIAO ; Zhiliang ZHONG ; Lihua LIN ; Xiang ZHENG ; Qiong LI ; Sharui SHAN
Chinese Journal of Tissue Engineering Research 2025;29(2):385-392
BACKGROUND:Deep muscle stimulation has the effects of releasing muscle adhesion,relieving muscle spasm,improving and restoring muscle compliance and elasticity.Electromyographic biofeedback therapy can promote nerve recovery and improve lower limb motor function and gait. OBJECTIVE:To observe the effect of the effect of deep muscle stimulation combined with electromyographic biofeedback therapy on the spasm of the triceps surae and gait changes after stroke by using a digital muscle detector and three-dimensional gait analysis system. METHODS:A total of 72 patients who met the inclusion criteria were selected from the Rehabilitation Department of the First Affiliated Hospital of Guangdong Pharmaceutical University from October 2020 to October 2023.And they were enrolled and randomly divided into two groups(n=36 per group):a control group and a combined group.The control group received routine rehabilitation therapies,electromyographic biofeedback and pseudo deep muscle stimulation,while the combined group received true deep muscle stimulation treatment on the basis of the control group,five times per week,for 4 consecutive weeks.The oscillation frequency and dynamic stiffness of the affected gastrocnemius muscle,active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,Fugl-Meyer assessment of the lower limbs,and three-dimensional gait analysis parameters were statistically analyzed before and after treatment in two groups. RESULTS AND CONCLUSION:After treatment,oscillation frequency and dynamic stiffness values of the inner and outer sides of the affected gastrocnemius muscle in both groups of patients were significantly reduced compared with before treatment(P<0.05),and the combined group showed a more significant decrease compared with the control group(P<0.05).The active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,and Fugl-Meyer scores after treatment were significantly increased or improved compared with before treatment(P<0.05),while the combined group showed a more significant increase or improvement compared with the control group(P<0.05).In terms of gait parameters,the walking speed,frequency,and stride in both groups of patients were significantly increased compared with before treatment(P<0.05),while the combined group showed a more significant increase compared with the control group(P<0.05).The percentage time of support phase on the healthy side was shortened compared with before treatment(P<0.05),while the combined group showed a more significant decrease compared with the control group(P<0.05).In addition,there was no significant difference between the two groups except for the percentage of healthy side support(P>0.05).To conclude,the combination of deep muscle stimulation and electromyographic biofeedback can effectively alleviate triceps spasm in the short term after stroke,improve ankle dorsiflexion function,enhance lower limb motor function,and improve gait.The treatment effect is significant and worthy of clinical promotion and application.
3.Transzonal Projections and Follicular Development Abnormalities in Polycystic Ovary Syndrome
Di CHENG ; Yu-Hua CHEN ; Xia-Ping JIANG ; Lan-Yu LI ; Yi TAN ; Ming LI ; Zhong-Cheng MO
Progress in Biochemistry and Biophysics 2025;52(10):2499-2511
Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder affecting a substantial proportion of women of reproductive age. It is frequently associated with ovulatory dysfunction, infertility, and an increased risk of chronic metabolic diseases. A hallmark pathological feature of PCOS is the arrest of follicular development, closely linked to impaired intercellular communication between the oocyte and surrounding granulosa cells. Transzonal projections (TZPs) are specialized cytoplasmic extensions derived from granulosa cells that penetrate the zona pellucida to establish direct contact with the oocyte. These structures serve as essential conduits for the transfer of metabolites, signaling molecules (e.g., cAMP, cGMP), and regulatory factors (e.g., microRNAs, growth differentiation factors), thereby maintaining meiotic arrest, facilitating metabolic cooperation, and supporting gene expression regulation in the oocyte. The proper formation and maintenance of TZPs depend on the cytoskeletal integrity of granulosa cells and the regulated expression of key connexins, particularly CX37 and CX43. Recent studies have revealed that in PCOS, TZPs exhibit significant structural and functional abnormalities. Contributing factors—such as hyperandrogenism, insulin resistance, oxidative stress, chronic inflammation, and dysregulation of critical signaling pathways (including PI3K/Akt, Wnt/β‑catenin, and MAPK/ERK)—collectively impair TZP integrity and reduce their formation. This disruption in granulosa-oocyte communication compromises oocyte quality and contributes to follicular arrest and anovulation. This review provides a comprehensive overview of TZP biology, including their formation mechanisms, molecular composition, and stage-specific dynamics during folliculogenesis. We highlight the pathological alterations in TZPs observed in PCOS and elucidate how endocrine and metabolic disturbances—particularly androgen excess and hyperinsulinemia—downregulate CX43 expression and impair gap junction function, thereby exacerbating ovarian microenvironmental dysfunction. Furthermore, we explore emerging therapeutic strategies aimed at preserving or restoring TZP integrity. Anti-androgen therapies (e.g., spironolactone, flutamide), insulin sensitizers (e.g., metformin), and GLP-1 receptor agonists (e.g., liraglutide) have shown potential in modulating connexin expression and enhancing granulosa-oocyte communication. In addition, agents such as melatonin, AMPK activators, and GDF9/BMP15 analogs may promote TZP formation and improve oocyte competence. Advanced technologies, including ovarian organoid models and CRISPR-based gene editing, offer promising platforms for studying TZP regulation and developing targeted interventions. In summary, TZPs are indispensable for maintaining follicular homeostasis, and their disruption plays a pivotal role in the pathogenesis of PCOS-related folliculogenesis failure. Targeting TZP integrity represents a promising therapeutic avenue in PCOS management and warrants further mechanistic and translational investigation.
4.Secular trend and projection of overweight and obesity among Chinese children and adolescents aged 7-18 years from 1985 to 2019: Rural areas are becoming the focus of investment.
Jiajia DANG ; Yunfei LIU ; Shan CAI ; Panliang ZHONG ; Di SHI ; Ziyue CHEN ; Yihang ZHANG ; Yanhui DONG ; Jun MA ; Yi SONG
Chinese Medical Journal 2025;138(3):311-317
BACKGROUND:
The urban-rural disparities in overweight and obesity among children and adolescents are narrowing, and there is a need for long-term and updated data to explain this inequality, understand the underlying mechanisms, and identify priority groups for interventions.
METHODS:
We analyzed data from seven rounds of the Chinese National Survey on Students Constitution and Health (CNSSCH) conducted from 1985 to 2019, focusing on school-age children and adolescents aged 7-18 years. Joinpoint regression was used to identify inflection points (indicating a change in the trend) in the prevalence of overweight and obesity during the study period, stratified by urban/rural areas and sex. Annual percent change (APC), average annual percent change (AAPC), and 95% confidence interval (CI) were used to describe changes in the prevalence of overweight and obesity. Polynomial regression models were used to predict the prevalence of overweight and obesity among children and adolescents in 2025 and 2030, considering urban/rural areas, sex, and age groups.
RESULTS:
The prevalence of overweight and obesity in urban boys and girls showed an inflection point of 2000, with AAPC values of 10.09% (95% CI: 7.33-12.92%, t = 7.414, P <0.001) and 8.67% (95% CI: 6.10-11.30%, t = 6.809, P <0.001), respectively. The APC for urban boys decreased from 18.31% (95% CI: 4.72-33.67%, t = 5.926, P = 0.027) to 4.01% (95% CI: 1.33-6.75%, t = 6.486, P = 0.023), while the APC for urban girls decreased from 13.88% (95% CI: 1.82-27.38%, t = 4.994, P = 0.038) to 4.72% (95% CI: 1.43-8.12%, t = 6.215, P = 0.025). However, no inflection points were observed in the best-fit models for rural boys and girls during the period 1985-2019. The prevalence of overweight and obesity for both urban and rural boys is expected to converge at 35.76% by approximately 2027. A similar pattern is observed for urban and rural girls, with a prevalence of overweight and obesity reaching 20.86% in 2025.
CONCLUSIONS
The prevalence of overweight and obesity among Chinese children and adolescents has been steadily increasing from 1985 to 2019. A complete reversal in urban-rural prevalence is expected by 2027, with a higher prevalence of overweight and obesity in rural areas. Urgent action is needed to address health inequities and increase investments, particularly policies targeting rural children and adolescents.
Humans
;
Child
;
Adolescent
;
Female
;
Male
;
Rural Population/statistics & numerical data*
;
Overweight/epidemiology*
;
Prevalence
;
China/epidemiology*
;
Pediatric Obesity/epidemiology*
;
Obesity/epidemiology*
;
Urban Population
5.Role of sphingolipid metabolism signaling in a novel mouse model of renal osteodystrophy based on transcriptomic approach.
Yujia WANG ; Yan DI ; Yongqi LI ; Jing LU ; Bofan JI ; Yuxia ZHANG ; Zhiqing CHEN ; Sijie CHEN ; Bicheng LIU ; Rining TANG
Chinese Medical Journal 2025;138(1):68-78
BACKGROUND:
Renal osteodystrophy (ROD) is a skeletal pathology associated with chronic kidney disease-mineral and bone disorder (CKD-MBD) that is characterized by aberrant bone mineralization and remodeling. ROD increases the risk of fracture and mortality in CKD patients. The underlying mechanisms of ROD remain elusive, partially due to the absence of an appropriate animal model. To address this gap, we established a stable mouse model of ROD using an optimized adenine-enriched diet and conducted exploratory analyses through ribonucleic acid sequencing (RNA-seq).
METHODS:
Eight-week-old male C57BL/6J mice were randomly allocated into three groups: control group ( n = 5), adenine and high-phosphate (HP) diet group ( n = 20), and the optimized adenine-containing diet group ( n = 20) for 12 weeks. We assessed the skeletal characteristics of model mice through blood biochemistry, microcomputed tomography (micro-CT), and bone histomorphometry. RNA-seq was utilized to profile gene expression changes of ROD. We elucidated the functions of differentially expressed genes (DEGs) using gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA). DEGs were validated via quantitative real-time polymerase chain reaction (qRT-PCR).
RESULTS:
By the fifth week, adenine followed by an HP diet induced rapid weight loss and high mortality rates in the mouse group, precluding further model development. Mice with optimized adenine diet-induced ROD displayed significant abnormalities in serum creatinine and blood urea nitrogen levels, accompanied by pronounced hyperparathyroidism and hyperphosphatemia. The femur bone mineral density (BMD) of the model mice was lower than that of control mice, with substantial bone loss and cortical porosity. ROD mice exhibited substantial bone turnover with an increase in osteoblast and osteoclast markers. Transcriptomic profiling revealed 1907 genes with upregulated expression and 723 genes with downregulated expression in the femurs of ROD mice relative to those of control mice. Pathway analyses indicated significant enrichment of upregulated genes in the sphingolipid metabolism pathway. The significant upregulation of alkaline ceramidase 1 ( Acer1 ), alkaline ceramidase 2 ( Acer2 ), prosaposin-like 1 ( Psapl1 ), adenosine A1 receptor ( Adora1 ), and sphingosine-1-phosphate receptor 5 ( S1pr5 ) were successfully validated in mouse femurs by qRT-PCR.
CONCLUSIONS
Optimized adenine diet mouse model may be a valuable proxy for studying ROD. RNA-seq analysis revealed that the sphingolipid metabolism pathway is likely a key player in ROD pathogenesis, thereby providing new avenues for therapeutic intervention.
Animals
;
Mice
;
Chronic Kidney Disease-Mineral and Bone Disorder/genetics*
;
Male
;
Disease Models, Animal
;
Mice, Inbred C57BL
;
Sphingolipids/metabolism*
;
Transcriptome/genetics*
;
Signal Transduction/genetics*
;
X-Ray Microtomography
;
Adenine
6.Design, synthesis and anti-Alzheimer's disease activity evaluation of cinnamyl triazole compounds
Wen-ju LEI ; Zhong-di CAI ; Lin-jie TAN ; Mi-min LIU ; Li ZENG ; Ting SUN ; Hong YI ; Rui LIU ; Zhuo-rong LI
Acta Pharmaceutica Sinica 2025;60(1):150-163
19 cinnamamide/ester-triazole compounds were designed, synthesized and evaluated for their anti-Alzheimer's disease (AD) activity. Among them, compound
7.The value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid enhanced MRI T1 mapping in the evaluation of liver function
Haiyan ZHANG ; Di MENG ; Lingyun GAO ; Zhen ZHONG ; Zhanguo SUN
Journal of Practical Radiology 2025;41(3):429-433
Objective To explore the clinical application value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI T1 mapping in the evaluation of liver function.Methods Sixty-four patients who underwent enhanced MRI T1 mapping with Gd-EOB-DTPA and completed the laboratory examination of liver function within one week were prospectively enrolled.All patients were divided into normal control group(NCG),cirrhosis Child-Pugh A(CCA)group,cirrhosis Child-Pugh B(CCB)group,and cirrhosis Child-Pugh C(CCC)group.CCB+CCC groups were defined as a moderate and severe abnormal liver function group.The T1 mapping images of pre-enhanced,post-enhanced 10 min and 20 min were collected,and the T1 mapping val-ues of liver and spleen were measured.The ΔT1 and hepatocyte enhancement fraction(HEF)were calculated.The differences of parameters in different liver function groups were analyzed and compared,and the diagnostic efficacy of each index in distinguishing different liver function groups was evaluated.Results There were significant differences in T1plain scan,T110 min,T120 min,ΔT110 min,ΔT120 min,HEF10 min and HEF20 min among the three groups(P<0.05).The difference of T1plain scan between NCG and CCA groups,and between NCG and CCB+CCC groups was statistically significant(P<0.05).The area under the curve(AUC)of differentiating normal liver function group from abnormal liver function group was 0.761.There were significant differences in T110 min,T120 min,ΔT110 min,ΔT120 min,HEF10 min and HEF20 min between CCA and CCB+CCC groups.The AUC of differentiating the two groups was 0.757,0.820,0.735,0.820,0.790 and 0.853,respectively,and HEF20 min had the highest diagnostic efficacy.Conclusion Gd-EOB-DTPA enhanced MRI T1 mapping can be used as an effective method to evaluate liver function.
8.Real-Time Typical Urodynamic Signal Recognition System Using Deep Learning
Xin LIU ; Ping ZHONG ; Di CHEN ; Limin LIAO
International Neurourology Journal 2025;29(1):40-47
Purpose:
Gold-standard urodynamic examination is widely used in the diagnosis and treatment of lower urinary tract dysfunction. The purpose of urodynamic quality control is to standardize urodynamic examination and ensure its clinical reference value. In our study, we attempted to use a deep learning (DL) algorithm model, mainly for the recognition of typical urodynamic signal, to help physicians complete high-quality urodynamic examinations.
Methods:
Urodynamic image data from 2 cohorts of adult patients with neurogenic bladder were used: (1) 300 patients with neurogenic bladder in our center from 2012 to 2018 (1,960 images used to train and validate the DL model); and (2) 100 patients with neurogenic bladder from 2020 to 2021 (695 images used to test the performance of the DL model). This resulted in a total of 2,655 images to train, validate and test the DL algorithm to predict the urdynamic signals.
Results:
Yolov5l had the best detection performance and the highest comprehensive index score (F1, 0.81; mean average precision, 0.83). Our study is a retrospective single-center study, and the generalization ability of the model has not been verified.
Conclusions
DL algorithms can help operators identify typical urodynamic signals in real time, improve the interpretation and quality of urodynamic examination, and benefit patients.
9.Real-Time Typical Urodynamic Signal Recognition System Using Deep Learning
Xin LIU ; Ping ZHONG ; Di CHEN ; Limin LIAO
International Neurourology Journal 2025;29(1):40-47
Purpose:
Gold-standard urodynamic examination is widely used in the diagnosis and treatment of lower urinary tract dysfunction. The purpose of urodynamic quality control is to standardize urodynamic examination and ensure its clinical reference value. In our study, we attempted to use a deep learning (DL) algorithm model, mainly for the recognition of typical urodynamic signal, to help physicians complete high-quality urodynamic examinations.
Methods:
Urodynamic image data from 2 cohorts of adult patients with neurogenic bladder were used: (1) 300 patients with neurogenic bladder in our center from 2012 to 2018 (1,960 images used to train and validate the DL model); and (2) 100 patients with neurogenic bladder from 2020 to 2021 (695 images used to test the performance of the DL model). This resulted in a total of 2,655 images to train, validate and test the DL algorithm to predict the urdynamic signals.
Results:
Yolov5l had the best detection performance and the highest comprehensive index score (F1, 0.81; mean average precision, 0.83). Our study is a retrospective single-center study, and the generalization ability of the model has not been verified.
Conclusions
DL algorithms can help operators identify typical urodynamic signals in real time, improve the interpretation and quality of urodynamic examination, and benefit patients.
10.Correctly performing gingivectomy and periodontal flap surgery exercises: part Ⅴ of a series on basic training in periodontal diagnosis and treatment
Min ZHEN ; Wenjie HU ; Di WANG ; Jinsheng ZHONG
Chinese Journal of Stomatology 2025;60(12):1436-1440
Gingivectomy and periodontal flap surgery are fundamental periodontal surgeries. Undergraduate students majoring in stomatology must master the basic principles of these two surgical procedures and be familiar with their key operational essentials. This article elaborates on how to conduct standardized fundamental periodontal surgery training step by step, including the significance of the two surgical methods in periodontal therapy, the scheduling and implementation strategies of surgical training, the training essentials, as well as common errors and countermeasures during the training process, providing guidance to improve the standardization of periodontal surgery in China.

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