1.Combined screening of two primary immunodeficiency diseases and spinal muscular atrophy in neonates by multiplex real-time fluorescence quantitative PCR
Chao ZHANG ; Jianbin YANG ; Shiqiang SHANG ; Chi CHEN ; Huaqing MAO ; Xiaolei HUANG ; Fang HONG ; Haixia MIAO ; Hanyi ZHAO ; Rulai YANG
Chinese Journal of Laboratory Medicine 2025;48(2):249-257
Objective:To explore the feasibility of joint screening of the two primary immunodeficiency diseases [severe combined immunodeficiency (SCID) and X-linked agammaglobulinemia(XLA)] and spinal muscular atrophy(SMA) in newborns by multiplex real-time quantitative PCR technology, and to provide evidence for early screening, diagnosis and treatment of children.Methods:Cross-sectional study. From July 2021 to January 2023, a total of 103 240 dry blood spots samples of newborns were collected which were delivered to Neonatal Disease Screening Center of Zhejiang by cold chain transportation. The concentrations of the T cell receptor excision ring (TREC), Kappa deletion of the recombinant excision loop (KREC), and exon 7 deletion of Survival Motor Neuron 1 (SMN1) gene in dry blood spots were simultaneously detected by multiplex real-time fluorescence quantitative PCR, taken ribonuclease P/MRP 30 000 subunits (RPP30) as an internal reference gene. The positive newborns were further diagnosed by other laboratory tests and gene sequencing was taken as gold standard. Children samples from 1 case of SCID, 3 cases of XLA and 2 cases of SMA were used for positive verification. The correlation between detected concentration of TREC/KREC and basic information in newborns were analyzed. The differences among groups for each factor were analyzed.Results:One case of SCID, 2 cases of XLA, 9 cases of SMA and 7 cases of other genetic diseases (4 cases of DiGeorge syndrome, 1 case of trisomy 21 syndrome, 1 case of Noonan syndrome and 1 case of super male syndrome) were identified by multiplex real-time fluorescence quantitative PCR. The positive predictive values of screening neonatal SCID, XLA and SMA were 2.44% (1/41), 2.78% (2/72) and 9/9 respectively. Taking the samples from clinically diagnosed 1 case of SCID, 3 cases of XLA and 2 cases of SMA as positive validation samples, which were all identified. The detected results of TREC/KREC correlated with time of blood collection, sex, weight, gestational age and delivery mode of newborns, whose r values were 0.162/0.187, 0.066/0.032, 0.045/0.042, ?0.015/?0.088 and 0.014/0.068 respectively (all P<0.05). Conclusions:Relying on current neonatal screening platform in Zhejiang, it is feasible to screen jointly two kinds of primary immunodeficiency diseases and spinal muscular atrophy in newborns by multiple real-time fluorescence quantitative PCR technology.
2.Construction and analysis of a machine learning-based predictive model for early neurological deterioration in patients with acute cerebral infarction
Ben HUANG ; Mingxuan ZHENG ; Shuxian MIAO ; Li WEI ; Yan ZHANG
Chinese Journal of Laboratory Medicine 2025;48(12):1535-1545
Objective:This study aims to develop a laboratory-based predictive model for early neurological deterioration (END) in patients with acute cerebral infarction (ACI) using baseline data collected at hospital admission.Methods:This study was a retrospective cohort study. Clinical and baseline laboratory test data from 502 patients with ACI admitted to the Department of Neurology at our hospital between January 1, 2022 and May 31, 2025. Of these patients, 313 were male and 189 were female, with a median age of 67 years (interquartile range: 58-73). Patients were classified into an END group and a non-END group according to the occurrence of END within 7 days of admission. Subsequently, using the caret package in R (version 4.4.2), the dataset was randomly divided into a training set ( n=351) and a validation set ( n=151) at a 7∶3 ratio, with END status as the stratification variable and a fixed random seed to ensure reproducibility. Following baseline characteristic comparisons between groups, these datasets were used for model development and validation, respectively. The differences in clinical indicators between the two patients groups were assessed using the chi-square test and the Wilcoxon rank sum test. In the training group, Lasso regression was utilized to identify variables significantly associated with END. Seven machine learning algorithms-decision tree (DT), random forest (RF), light gradient boosting machine (LGBM), extreme gradient boosting (XGB), K-nearest neighbors (KNN), support vector machine (SVM), and logistic regression (LR)-were employed to develop predictive models. The optimal hyperparameters were determined via grid search integrated with 5-fold cross-validation. The final algorithm was selected based on comprehensive model performance evaluation. Additionally, clinical data of 79 patients with ACI, collected between June 1 to August 31, 2025, were compiled as an independent test set for external validation. The cohort comprised 49 males and 30 females, with a median age of 68 years (interquartile range: 57-72). The SHapley Additive exPlanations (SHAP) method was employed to access feature importance and model interpretability. SHAP dependence plots and interaction plots were utilized to emplore the nonlinear relationships and interaction effects among the featurevariables. Results:Among the 502 patients, 166 experienced END during 7 days of hospitalization. Lasso regression identified nine significant predictors: history of hyperlipidemia, admission NIHSS score, lymphocyte-to-monocyte ratio (LMR), hemoglobin, D-dimer, albumin, neuron-specific enolase (NSE), homocysteine (HCY), and vitamin B12. The area under the receiver operating characteristic curve (AUC) for the seven machine learning models ranged from 0.709 to 0.946. The XGB model achieved the highest predictive performance, with an AUC of 0.946 (95% CI 0.924-0.960) in the training cohort and 0.867 (95% CI 0.902-0.933) in the validation cohort. SHAP analysis revealed that the top five variables contributing to END prediction were admission NIHSS score, HCY, D-dimer, history of hyperlipidemia, and vitamin B12. Conclusion:This study successfully developed a laboratory-based prediction model for END using the XGB machine learning algorithm, which demonstrated strong predictive performance.
3.Screen of FDA-approved drug library identifies vitamin K as anti-ferroptotic drug for osteoarthritis therapy through Gas6
Yifeng SHI ; Sunlong LI ; Shuhao ZHANG ; Caiyu YU ; Jiansen MIAO ; Shu YANG ; Yan CHEN ; Yuxuan ZHU ; Xiaoxiao HUANG ; Chencheng ZHOU ; Hongwei OUYANG ; Xiaolei ZHANG ; Xiangyang WANG
Journal of Pharmaceutical Analysis 2025;15(5):1033-1047
Ferroptosis of chondrocytes is a significant contributor to osteoarthritis(OA),for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis.Here,we screen for anti-ferroptotic drugs in Food and Drug Administration(FDA)-approved drug library via a high-throughput manner in chondrocytes.We identified a group of FDA-approved anti-ferroptotic drugs,among which vitamin K showed the most powerful protective effect.Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix(ECM)degradation in chondrocytes.Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus(DMM)mouse model.Mechanistically,transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest-specific 6(Gas6).Furthermore,exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL receptor tyrosine kinase(AXL)/phosphatidylinositol 3-kinase(PI3K)/AKT serine/threonine kinase(AKT)axis.Together,we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis,indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.
4.Application value of chromosomal microarray analysis for the detection of low-level mosaicisms in amniotic fluid samples and analysis of rare cases.
Huiyuan SHAO ; Zongyu MIAO ; Hong WU ; Lei LI ; Xiaoyan LIU ; Yuping WANG ; Lihua JIANG
Chinese Journal of Medical Genetics 2025;42(4):441-445
OBJECTIVE:
To assess the value of chromosomal microarray analysis (CMA) for the detection of low-level mosaicisms in amniotic fluid samples, and to retrospectively analyze the rare cases of mosaicisms.
METHODS:
Chromosomal karyotype of the fetus was determined by G-banding analysis of cultured amniotic fluid cells. CMA was used to detect copy number variation of fetal chromosomes, and fluorescence in situ hybridization (FISH) was used to determine the proportion of fetal chromosomal mosaicisms in uncultured amniotic fluid cells.
RESULTS:
Among 825 prenatal samples, 4 cases of true fetal mosaicisms were detected, which yielded an incidence of 0.48%. Two cases were sex chromosomal mosaicisms, and two were autosomal mosaicisms, which involved chromosomes 8 and 9, respectively. All cases were verified by G-banding analysis of cultured amniotic fluid cells, CMA, and/or FISH.
CONCLUSION
CMA has a great value for detecting low-level mosaicisms in amniotic fluid samples, though the positive results need to be verified by other techniques and should be interpreted with caution. The review of rare cases can provide a basis for prenatal genetic counseling.
Humans
;
Female
;
Amniotic Fluid/metabolism*
;
Pregnancy
;
Mosaicism/embryology*
;
Prenatal Diagnosis/methods*
;
Adult
;
In Situ Hybridization, Fluorescence
;
Microarray Analysis/methods*
;
Karyotyping
;
Retrospective Studies
;
Male
5.Analysis of Animal Model of Anxiety Disorder Based on Clinical Characteristics of Syndromes in Traditional Chinese and Western Medicine
Baoling HUANG ; Yilong HU ; Jingying YANG ; Mingsan MIAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(16):235-242
ObjectiveThis study aims to analyze animal models of anxiety disorder based on the clinical characteristics of anxiety disorder in traditional Chinese and Western medicine, systematically assess the clinical compatibility, and provide suggestions for the construction of animal models with a high degree of clinical compatibility between traditional Chinese and Western medicine. MethodsRelevant literature on animal models of anxiety disorder was retrieved from global databases. Scoring scales were developed according to the etiology, pathogenesis, and diagnostic criteria of anxiety disorder in both traditional Chinese and Western medicine. The animal models of anxiety disorder in the literature were analyzed, and their clinical compatibility was systematically assessed to identify reference-worthy models. ResultsThe average clinical compatibility of existing animal models of anxiety disorder was 42.13% for traditional Chinese medicine and 50.94% for Western medicine. Among these, the chronic unpredictable mild stress (CUMS) model had the highest compatibility with both traditional Chinese and Western medicine. However, current models rarely reflect the clinical syndromes of traditional Chinese medicine in depth, and show limitations in syndrome differentiation. ConclusionThe existing animal models of anxiety disorder are mostly established using single-factor approaches, which fail to comprehensively simulate the onset process and physiopathological characteristics of anxiety disorder. These models also neglect the syndrome-based indicators emphasized in traditional Chinese medicine. In the future, the model development should incorporate the clinical characteristics of syndromes in both traditional Chinese and Western medicine, establish standardized evaluation criteria for anxiety disorder models, and utilize multifactorial approaches to enhance the representativeness of animal models in traditional Chinese medicine.
6.Toxic Components, Toxicity Mechanisms, Toxicity Attenuation Measures, and Evaluation Methods of Renal Injury-inducing Chinese Medicine
Xin HUANG ; Lujin ZHANG ; Mingsan MIAO ; Can WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):295-304
ObjectiveWe reviewed the existing experimental studies about renal injury-inducing Chinese medicine and systematically analyzed the toxicity mechanisms, toxic components, toxicity attenuation measures, and modern evaluation methods of renal injury-inducing Chinese medicine. The results are expected to provide new ideas for the modern research on kidney injury-inducing Chinese medicine, offer new breakthrough points for the toxicity attenuation of Chinese medicine by compatibility and processing, and give insights into the future research of Chinese medicine toxicology on the basis of ensuring the safety and scientific application of Chinese medicine. MethodsThe animal, cell, and clinical studies of kidney injury-inducing Chinese medicine were retrieved from CNKI, Wanfang Data, VIP, PubMed, and Web of Science. The names and toxic components of renal injury-inducing Chinese medicine, renal injury sites, toxicity mechanisms, toxicity attenuation measures, and related evaluation methods were summarized. ResultsThe toxicity mechanisms of kidney injury-inducing Chinese medicine mainly involved oxidative stress, endoplasmic reticulum stress, inflammatory cell infiltration, and organic anion transporters. Processing and compatibility were the main toxicity attenuation measures. The evaluation methods encompassed animal experiments, cell models, network pharmacology, metabolomics, toxicology genomics, and fluorescent probe technology. ConclusionAt present, the toxicological verification of kidney injury-inducing Chinese medicine starts from toxic components and combines various experimental methods, which is more comprehensive and systematic than the previous studies based on only animal experiments. According to the classical theories of traditional Chinese medicine, the toxicity of kidney injury-inducing Chinese medicine is mainly attenuated by decocting in water, steaming, and frying. With the progress of science and technology, new processing methods for toxicity attenuation are emerging, and structural transformation, fermentation, and microwave methods are the key research directions of toxicity attenuation of Chinese medicine in recent years.
7.Toxic Components, Toxicity Mechanisms, Toxicity Attenuation Measures, and Evaluation Methods of Renal Injury-inducing Chinese Medicine
Xin HUANG ; Lujin ZHANG ; Mingsan MIAO ; Can WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):295-304
ObjectiveWe reviewed the existing experimental studies about renal injury-inducing Chinese medicine and systematically analyzed the toxicity mechanisms, toxic components, toxicity attenuation measures, and modern evaluation methods of renal injury-inducing Chinese medicine. The results are expected to provide new ideas for the modern research on kidney injury-inducing Chinese medicine, offer new breakthrough points for the toxicity attenuation of Chinese medicine by compatibility and processing, and give insights into the future research of Chinese medicine toxicology on the basis of ensuring the safety and scientific application of Chinese medicine. MethodsThe animal, cell, and clinical studies of kidney injury-inducing Chinese medicine were retrieved from CNKI, Wanfang Data, VIP, PubMed, and Web of Science. The names and toxic components of renal injury-inducing Chinese medicine, renal injury sites, toxicity mechanisms, toxicity attenuation measures, and related evaluation methods were summarized. ResultsThe toxicity mechanisms of kidney injury-inducing Chinese medicine mainly involved oxidative stress, endoplasmic reticulum stress, inflammatory cell infiltration, and organic anion transporters. Processing and compatibility were the main toxicity attenuation measures. The evaluation methods encompassed animal experiments, cell models, network pharmacology, metabolomics, toxicology genomics, and fluorescent probe technology. ConclusionAt present, the toxicological verification of kidney injury-inducing Chinese medicine starts from toxic components and combines various experimental methods, which is more comprehensive and systematic than the previous studies based on only animal experiments. According to the classical theories of traditional Chinese medicine, the toxicity of kidney injury-inducing Chinese medicine is mainly attenuated by decocting in water, steaming, and frying. With the progress of science and technology, new processing methods for toxicity attenuation are emerging, and structural transformation, fermentation, and microwave methods are the key research directions of toxicity attenuation of Chinese medicine in recent years.
8.Temporal trend in mortality due to congenital heart disease in China from 2008 to 2021.
Youping TIAN ; Xiaojing HU ; Qing GU ; Miao YANG ; Pin JIA ; Xiaojing MA ; Xiaoling GE ; Quming ZHAO ; Fang LIU ; Ming YE ; Weili YAN ; Guoying HUANG
Chinese Medical Journal 2025;138(6):693-701
BACKGROUND:
Congenital heart disease (CHD) is a leading cause of birth defect-related mortality. However, more recent CHD mortality data for China are lacking. Additionally, limited studies have evaluated sex, rural-urban, and region-specific disparities of CHD mortality in China.
METHODS:
We designed a population-based study using data from the Dataset of National Mortality Surveillance in China between 2008 and 2021. We calculated age-adjusted CHD mortality using the sixth census data of China in 2010 as the standard population. We assessed the temporal trends in CHD mortality by age, sex, area, and region from 2008 to 2021 using the joinpoint regression model.
RESULTS:
From 2008 to 2021, 33,534 deaths were attributed to CHD. The period witnessed a two-fold decrease in the age-adjusted CHD mortality from 1.61 to 0.76 per 100,000 persons (average annual percent change [AAPC] = -5.90%). Females tended to have lower age-adjusted CHD mortality than males, but with a similar decline rate from 2008 to 2021 (females: AAPC = -6.15%; males: AAPC = -5.84%). Similar AAPC values were observed among people living in urban (AAPC = -6.64%) and rural (AAPC = -6.12%) areas. Eastern regions experienced a more pronounced decrease in the age-adjusted CHD mortality (AAPC = -7.86%) than central (AAPC = -5.83%) and western regions (AAPC = -3.71%) between 2008 and 2021. Approximately half of the deaths (46.19%) due to CHD occurred during infancy. The CHD mortality rates in 2021 were lower than those in 2008 for people aged 0-39 years, with the largest decrease observed among children aged 1-4 years (AAPC = -8.26%), followed by infants (AAPC = -7.01%).
CONCLUSIONS
CHD mortality in China has dramatically decreased from 2008 to 2021. The slower decrease in CHD mortality in the central and western regions than in the eastern regions suggested that public health policymakers should pay more attention to health resources and health education for central and western regions.
Humans
;
Heart Defects, Congenital/mortality*
;
Male
;
Female
;
China/epidemiology*
;
Infant
;
Child, Preschool
;
Adult
;
Child
;
Adolescent
;
Infant, Newborn
;
Middle Aged
;
Young Adult
;
Aged
;
Rural Population
9.Comparison of treatment regimens for unresectable stage III epidermal growth factor receptor ( EGFR ) mutant non-small cell lung cancer.
Xin DAI ; Qian XU ; Lei SHENG ; Xue ZHANG ; Miao HUANG ; Song LI ; Kai HUANG ; Jiahui CHU ; Jian WANG ; Jisheng LI ; Yanguo LIU ; Jianyuan ZHOU ; Shulun NIE ; Lian LIU
Chinese Medical Journal 2025;138(14):1687-1695
BACKGROUND:
Durvalumab after chemoradiotherapy (CRT) failed to bring survival benefits to patients with epidermal growth factor receptor ( EGFR ) mutations in PACIFIC study (evaluating durvalumab in patients with stage III, unresectable NSCLC who did not have disease progression after concurrent chemoradiotherapy). We aimed to explore whether locally advanced inoperable patients with EGFR mutations benefit from tyrosine kinase inhibitors (TKIs) and the optimal treatment regimen.
METHODS:
We searched the PubMed, Embase, the Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov databases from inception to December 31, 2022 and performed a meta-analysis based on a Bayesian framework, with progression-free survival (PFS) and overall survival (OS) as the primary endpoints.
RESULTS:
A total of 1156 patients were identified in 16 studies that included 6 treatment measures, including CRT, CRT followed by durvalumab (CRT-Durva), TKI monotherapy, radiotherapy combined with TKI (RT-TKI), CRT combined with TKI (CRT-TKI), and TKI combined with durvalumab (TKI-Durva). The PFS of patients treated with TKI-containing regimens was significantly longer than that of patients treated with TKI-free regimens (hazard ratio [HR] = 0.37, 95% confidence interval [CI], 0.20-0.66). The PFS of TKI monotherapy was significantly longer than that of CRT (HR = 0.66, 95% CI, 0.50-0.87) but shorter than RT-TKI (HR = 1.78, 95% CI, 1.17-2.67). Furthermore, the PFS of RT-TKI or CRT-TKI were both significantly longer than that of CRT or CRT-Durva. RT-TKI ranked first in the Bayesian ranking, with the longest OS (60.8 months, 95% CI = 37.2-84.3 months) and the longest PFS (21.5 months, 95% CI, 15.4-27.5 months) in integrated analysis.
CONCLUSIONS:
For unresectable stage III EGFR mutant NSCLC, RT and TKI are both essential. Based on the current evidence, RT-TKI brings a superior survival advantage, while CRT-TKI needs further estimation. Large randomized clinical trials are urgently needed to explore the appropriate application sequences of TKI, radiotherapy, and chemotherapy.
REGISTRATION
PROSPERO; https://www.crd.york.ac.uk/PROSPERO/ ; No. CRD42022298490.
Humans
;
Carcinoma, Non-Small-Cell Lung/therapy*
;
ErbB Receptors/genetics*
;
Lung Neoplasms/drug therapy*
;
Mutation/genetics*
;
Protein Kinase Inhibitors/therapeutic use*
;
Chemoradiotherapy
;
Antibodies, Monoclonal/therapeutic use*
10.Safety and effectiveness of lecanemab in Chinese patients with early Alzheimer's disease: Evidence from a multidimensional real-world study.
Wenyan KANG ; Chao GAO ; Xiaoyan LI ; Xiaoxue WANG ; Huizhu ZHONG ; Qiao WEI ; Yonghua TANG ; Peijian HUANG ; Ruinan SHEN ; Lingyun CHEN ; Jing ZHANG ; Rong FANG ; Wei WEI ; Fengjuan ZHANG ; Gaiyan ZHOU ; Weihong YUAN ; Xi CHEN ; Zhao YANG ; Ying WU ; Wenli XU ; Shuo ZHU ; Liwen ZHANG ; Naying HE ; Weihuan FANG ; Miao ZHANG ; Yu ZHANG ; Huijun JU ; Yaya BAI ; Jun LIU
Chinese Medical Journal 2025;138(22):2907-2916
INTRODUCTION:
Lecanemab has shown promise in treating early Alzheimer's disease (AD), but its safety and efficacy in Chinese populations remain unexplored. This study aimed to evaluate the safety and 6-month clinical outcomes of lecanemab in Chinese patients with mild cognitive impairment (MCI) or mild AD.
METHODS:
In this single-arm, real-world study, participants with MCI due to AD or mild AD received biweekly intravenous lecanemab (10 mg/kg). The study was conducted at Hainan Branch, Ruijin Hospital Shanghai Jiao Tong University School of Medicine. Patient enrollment and baseline assessments commenced in November 2023. Safety assessments included monitoring for amyloid-related imaging abnormalities (ARIA) and other adverse events. Clinical and biomarker changes from baseline to 6 months were evaluated using cognitive scales (mini-mental state examination [MMSE], montreal cognitive assessment [MoCA], clinical dementia rating-sum of boxes [CDR-SB]), plasma biomarker analysis, and advanced neuroimaging.
RESULTS:
A total of 64 patients were enrolled in this ongoing real-world study. Safety analysis revealed predominantly mild adverse events, with infusion-related reactions (20.3%, 13/64) being the most common. Of these, 69.2% (9/13) occurred during the initial infusion and 84.6% (11/13) did not recur. ARIA-H (microhemorrhages/superficial siderosis) and ARIA-E (edema/effusion) were observed in 9.4% (6/64) and 3.1% (2/64) of participants, respectively, with only two symptomatic cases (one ARIA-E presenting with headache and one ARIA-H with visual disturbances). After 6 months of treatment, cognitive scores remained stable compared to baseline (MMSE: 22.33 ± 5.58 vs . 21.27 ± 4.30, P = 0.733; MoCA: 16.38 ± 6.67 vs . 15.90 ± 4.78, P = 0.785; CDR-SB: 2.30 ± 1.65 vs . 3.16 ± 1.72, P = 0.357), while significantly increasing plasma amyloid-β 42 (Aβ42) (+21.42%) and Aβ40 (+23.53%) levels compared to baseline.
CONCLUSIONS:
Lecanemab demonstrated a favorable safety profile in Chinese patients with early AD. Cognitive stability and biomarker changes over 6 months suggest potential efficacy, though high dropout rates and absence of a control group warrant cautious interpretation. These findings provide preliminary real-world evidence for lecanemab's use in China, supporting further investigation in larger controlled studies.
REGISTRATION
ClinicalTrials.gov , NCT07034222.
Humans
;
Alzheimer Disease/drug therapy*
;
Male
;
Female
;
Aged
;
Middle Aged
;
Cognitive Dysfunction/drug therapy*
;
Aged, 80 and over
;
Amyloid beta-Peptides/metabolism*
;
Biomarkers
;
East Asian People

Result Analysis
Print
Save
E-mail