OBJECTIVE: To explore the application value of artificial intelligence (AI)-assisted chromosomal karyotype analysis in the diagnosis of prenatal chromosomal mosaicism. METHODS: A retrospective analysis was conducted on 172 pregnant women who underwent amniocentesis at the Department of Medical Genetics and Prenatal Diagnosis, the Third Affiliated Hospital of Zhengzhou University between January 2019 and December 2024. All cases whose fetuses were diagnosed with chromosomal mosaicism via karyotype analysis and stratified into two groups based on the analytical software employed: the conventional analysis group (n = 70), which utilized Leica analysis software for karyotype image recognition and cell counting; and the AI-assisted analysis group (n = 102), which utilized AI-assisted software for the same procedures. The clinical performance of AI-assisted karyotype analysis in diagnosing chromosomal mosaicism was comprehensively evaluated by comparing the types of mosaic karyotypes, distribution of mosaic ratios, and verification outcomes of different detection modalities between the two groups. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-406-01). RESULTS: No statistically significant difference was observed in baseline characteristics (maternal age, gestational week, and indications for prenatal diagnosis) between the two groups. Regarding the detection efficacy for numerical and structural mosaicisms, no significant difference was found in the detection of numerical mosaicism. However, the conventional analysis group exhibited a significantly higher detection rate of autosomal structural mosaicism compared to the AI-assisted group (11.43% vs. 0.98%, P < 0.05). Numerical mosaicism cases were further verified using copy number variation sequencing (CNV-seq) and/or fluorescence in situ hybridization (FISH). The AI-assisted group demonstrated a significantly lower inconsistency rate (5.56% vs. 20.41%, P < 0.05) compared to the conventional group. For low-proportion (< 10%) chromosomal mosaicism, the AI-assisted group had a significantly lower detection rate (13.25% vs. 29.69%, P < 0.05). Subsequent validation of low-proportion mosaicism by CNV-seq and/or FISH showed a higher consistency rate in the AI-assisted group (81.82% vs. 54.55%), though the difference did not reach statistical significance (P = 0.360). CONCLUSION For the karyotyping analysis of prenatal chromosomal mosaicism, AI-assisted karyotype analysis shows high accuracy and consistency in identifying numerical chromosomal mosaicism, particularly in reducing the detection of low-proportion (< 10%) mosaicism while improving verification accuracy. AI-assisted analysis can significantly improve the detection accuracy of numerical mosaicism and mitigate the risk of misclassification for low-proportion (< 10%) mosaicism, thereby providing more precise clinical evidence for the prenatal diagnosis of chromosomal mosaicisms.
Humans ; Female ; Mosaicism ; Pregnancy ; Karyotyping/methods* ; Artificial Intelligence ; Prenatal Diagnosis/methods* ; Adult ; Retrospective Studies ; Chromosome Disorders/genetics* ; Amniocentesis

Metabolic dysfunction-associated fatty liver disease （MAFLD） is a chronic metabolic liver disorder with complex etiologies. Different clinical phenotypes of MAFLD （such as obesity， hyperlipidemia， type 2 diabetes mellitus， the postmenopausal state， and chronic hepatitis B） have different mechanisms of action in the development and progression of MAFLD， leading to high heterogeneity in its clinical progression and prognosis. This article systematically reviews the pathogeneses and clinical features of the above five clinical phenotypes of MAFLD and elaborates on the corresponding individualized diagnosis and treatment regimens integrating traditional Chinese medicine and Western medicine， in order to provide a reference for clinical practice and improve clinical diagnosis and treatment.

Objective To investigate the clinical advantages and safety of an acupoint auto-positioning moxibustion robot combined with massage techniques in the treatment of lumbar disc herniation.Methods Totally 114 patients with lumbar disc herniation treated between June 2021 and December 2023 at Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,Shanghai University of Traditional Chinese Medicine,the Outpatient Department of Rehabilitation Medicine,Changhai Hospital and Shanghai Third Rehabilitation Hospital were divided into control group and experimental group with random number table method,with 57 cases in each group.The control group received conventional moxibustion combined with massage techniques,while the experimental group was treated using an acupoint auto-positioning moxibustion robot combined with massage techniques.Both groups underwent treatment once every three days,totaling 10 sessions over one month.Clinical efficacy was observed between the two groups by comparing pre-treatment and post-treatment(after 3,6 and 10 sessions)scores on the visual analogue scale(VAS)for pain,the Japanese Orthopaedic Association(JOA)lower back pain score,and lumbar range of motion(LROM).Adverse reactions during the intervention were recorded.Satisfaction with the moxibustion robot in the experimental group was assessed using a Likert scale.Additionally,20 healthy subjects were recruited to evaluate the accuracy of the robot's acupoint auto-positioning function.Results The overall effective rate was 91.23%(52/57)in the experimental group and 94.74%(54/57)in the control group,without statistical significance between the two groups(P>0.05).Compared to pre-treatment,both groups showed significant improvements in VAS scores,JOA scores and LROM across all measured directions after 3,6,and 10 treatment sessions(P<0.001).In the Likert scale assessment,86.96%of subjects agreed that the device was convenient to use,87.72%agreed that the device was safer than conventional moxibustion therapy,and 94.74%were willing to recommend the device to other patients.The accuracy evaluation of the acupoint auto-positioning moxibustion robot demonstrated that the average deviation between robot-positioned acupoints and standard acupoints was(1.68±0.46)mm,achieving a positioning accuracy rate exceeding 95%.No adverse reactions were reported during the intervention.Conclusion The combination of an acupoint auto-positioning moxibustion robot with massage techniques is as effective as conventional moxibustion combined with massage techniques in improving clinical symptoms,alleviating pains,enhancing lumbar function and increasing lumbar mobility in patients with lumbar disc herniation.Participants have exhibited a high willingness to use the device,and the robot achieved a high accuracy rate in acupoint positioning.

An ion chromatography method was developed for detection of nine kinds of trace organic amines(Methylamine,dimethylamine,trimethylamine,ethylamine,diethylamine,triethylamine,n-propylamine,n-butylamine,and ethanolamine)and six kinds of trace water-soluble inorganic cations(Li+,Na+,NH4+,K+,Ca2+,and Mg2+)in atmospheric fine particulate matter(PM2.5)in this wok.Various chromatographic columns(IonPac CS12,IonPac CS17 and IonPac CS19)were compared in terms of their separation efficiency for target analytes,and IonPac CS19 column was ultimately selected.Through meticulous optimization of the column temperature,a low temperature condition of 20℃was found to achieve the highest separation efficiency(All are above 1),effectively separating all 15 kinds of target analytes.Under the optimal analytical conditions inculding methanesulfonic acid(MSA)as eluent,100 μL of injection volume,column temperature at 20℃and eluent at flow rate of 1 mL/min,the detection limits of this method ranged from 0.05 to 7.15 μg/L,the quantification limits were 0.16-23.82 μg/L,and the spiking recoveries were 84%-105%.The proposed method exhibited high accuracy and excellent reproducibility,and was suitable for concurrent analysis and measurement of organic amines and water-soluble inorganic cations in PM2.5.

OBJECTIVES: To evaluate the clinical value of next-generation sequencing (NGS) in neonatal disease screening, particularly its advantages when combined with tandem mass spectrometry (MS/MS). METHODS: A prospective study was conducted involving blood samples from 1 999 neonates born at the Shenzhen Guangming District People's Hospital, between May and August 2021. All samples were initially screened using MS/MS and fluorescence immunoassay, followed by NGS to detect high-frequency variation sites in 135 related pathogenic genes. Suspected positive variants were validated using Sanger sequencing or multiplex ligation-dependent probe amplification in family studies. RESULTS: No confirmed positive cases were found in the MS/MS analysis of the 1 999 neonates. Genetic screening identified 58 positive cases (2.90%), 732 carriers of pathogenic genes (36.62%), and 1 209 negative cases (60.48%). One case of neonatal intrahepatic cholestasis was diagnosed (0.05%, 1/1 999). Fluorescence immunoassay identified 39 cases of glucose-6-phosphate dehydrogenase (G6PD) deficiency (1.95%, 39/1 999), while genetic screening identified 43 cases of G6PD deficiency (2.15%, 43/1 999). The fluorescence immunoassay also detected 6 cases of hyperthyrotropinemia (0.30%, 6/1 999), all of whom carried DUOX2 gene variants. The top ten pathogenic gene carrier rates were G6PD (12.8%), DUOX2 (8.7%), HBB (8.2%), ATP7B (6.6%), GJB2 (5.7%), SLC26A4 (5.6%), PAH (5.6%), ACADSB (4.6%), SLC25A13 (4.2%), and SLC22A5 (4.1%). CONCLUSIONS NGS can serve as an effective complement to MS/MS, significantly improving the detection rate of inherited metabolic disorders in neonates. When combined with family validation, it enables precise diagnosis, particularly demonstrating complementary advantages in screening for monogenic diseases such as G6PD deficiency.
Humans ; Infant, Newborn ; High-Throughput Nucleotide Sequencing/methods* ; Neonatal Screening/methods* ; Tandem Mass Spectrometry ; Prospective Studies ; Female ; Male ; Infant, Newborn, Diseases/diagnosis* ; Genetic Testing

BACKGROUND: Hyperthermia (HT), while a cancer treatment approach, isn't always effective alone. Therefore, identifying hyperthermia enhancers is crucial. We demonstrated that Mito-TEMPO ([2-[(1-Hydroxy-2,2,6,6-tetramethylpiperidin-4-yl) amino]-2-oxoethyl]-triphenylphosphanium, MT) acts as a potent thermosensitizer, promoting cell death in human cervical cancer (HeLa) cells. METHODS: Cells were pretreated with 0.4 mM MT for 5 minutes, followed by exposure to hyperthermia (42 °C for 60 minutes). The impacts of MT/HT on cell viability, proliferation, apoptosis, endoplasmic reticulum (ER) stress, apoptosis-related proteins and autophagy, autophagy-related proteins expression were measured. The relationships between autophagy and apoptosis were further investigated using the specific autophagy inhibitor chloroquine (CQ) and the autophagy inducer rapamycin (Rapa). RESULTS: The combined treatment reduced the mitochondrial membrane potential (MMP) and increased ROS production. It also upregulated the pro-apoptotic protein Bax and downregulated anti-apoptotic proteins such as Bcl-2 and MCL-1. As a result, Caspase-3 was activated. Additionally, the combined treatment upregulated the expression of p-PERK/PERK, ATF-4, CHOP proteins. Moreover, the combined treatment also increased the expression of LC3 II and p62, decreased expression of LAMP 1 and Cathepsin D and increased lysosomal pH, indicating coordinated changes in autophagy regulation. Notably, intensification of apoptosis induced by the combined treatment was observed with CQ, whereas attenuation was seen with Rapa. CONCLUSIONS MT effectively enhanced HT-induced apoptosis in HeLa cells. Elevated ER stress and interruption of autophagy flux are the possible underlying molecular mechanisms for this phenomenon. These findings suggested MT can act as a potential thermosensitizer, highlighting its versatility in cancer treatment strategies.
Humans ; Apoptosis/drug effects* ; Autophagy/drug effects* ; HeLa Cells ; Uterine Cervical Neoplasms/therapy* ; Female ; Hyperthermia, Induced ; Spin Labels ; Endoplasmic Reticulum Stress/drug effects* ; Cyclic N-Oxides/pharmacology* ; Cell Survival/drug effects*

Transcatheter arterial embolization (TAE) is the mainstay for treating advanced hepatocellular carcinoma (HCC), and the performance of the embolization material is crucial in TAE. With the development of medical imaging and the birth of "X-ray-free" technologies, we designed a new dual-mode imaging material of dimethoxy tetraphenyl ethylene (DMTPE) via emulsification by mixing poly(N-isopropylacrylamide-co-acrylic acid) (PNA) with lipiodol and fluorocarbons, which was evaluated for temperature sensitivity, stability, and dual-mode visualization in vitro. Additionally, blood vessel casting embolization and renal artery imaging were assessed in healthy rabbits. In a rabbit model with a VX2 tumor, the effectiveness of TAE for treating HCC was examined, with an emphasis on evaluating long-term outcomes of embolization and its effects on tumor growth, necrosis, and proliferation through imaging techniques. In vitro experiments confirmed that the temperature-sensitive dual-oil-phase Pickering emulsion had good flow, stable contrast, and embolism when the oil-to-oil ratio and water-to-oil ratio were both 7:3 ( v/v) and stabilized with 8% PNA. Similarly, in vivo, arterial embolization confirmed the excellent properties of DMTPE prepared at the abovementioned ratios. It was observed that DMTPE not only has an antitumor effect but can also achieve dual imaging using X-rays and ultrasound, making it a promising excellent vascular embolization material for TAE in tumor treatment.

Functional dyspepsia (FD), characterized by persistent or recurrent dyspeptic symptoms without identifiable organic, systemic or metabolic causes, is an increasingly recognized global health issue. The objective of this guideline is to equip clinicians and nursing professionals with evidence-based strategies for the management and treatment of adult patients with FD using traditional Chinese medicine (TCM). The Guideline Development Group consulted existing TCM consensus documents on FD and convened a panel of 35 clinicians to generate initial clinical queries. To address these queries, a systematic literature search was conducted across PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Database, China Biology Medicine (SinoMed) Database, Wanfang Database, Traditional Medicine Research Data Expanded (TMRDE), and the Traditional Chinese Medical Literature Analysis and Retrieval System (TCMLARS). The evidence from the literature was critically appraised using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The strength of the recommendations was ascertained through a consensus-building process involving TCM and allopathic medicine experts, methodologists, pharmacologists, nursing specialists, and health economists, leveraging their collective expertise and empirical knowledge. The guideline comprises a total of 43 evidence-informed recommendations that span a range of clinical aspects, including the pathogenesis according to TCM, diagnostic approaches, therapeutic interventions, efficacy assessments, and prognostic considerations. Please cite this article as: Zhang SS, Zhao LQ, Hou XH, Bian ZX, Zheng JH, Tian HH, Yang GH, Hong WS, He YY, Liu L, Shen H, Li YP, Xie S, Shu J, Zeng BF, Li JX, Liu Z, Xiao ZH, Xiao JD, Zheng PY, Huang SG, Chen SL, Fei GJ. International clinical practice guideline on the use of traditional Chinese medicine for functional dyspepsia (2025). J Integr Med. 2025; 23(5):502-518.
Dyspepsia/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Practice Guidelines as Topic ; Drugs, Chinese Herbal/therapeutic use*

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2