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

ObjectiveTo explore the role of the histone deacetylase Sirtuin-1 （SIRT1）/p53 signaling pathway in promoting apoptosis of non-small cell lung cancer cells （NSCLC） induced by the co-stimulatory molecule B7 homolog 3 （B7-H3）. MethodsThe GEPIA 2 platform was used for survival analysis of NSCLC patients based on B7⁃H3 gene expression levels. The Gene Enrichment Analysis （GSEA） method was used to analyze the enrichment characteristics of B7⁃H3 molecules in the gene set of cell apoptosis. In the non-small cell lung cancer A549 cell line， B7⁃H3 was knocked down， and the protein expression levels of SIRT1 and p53 were detected by Western blot. B7⁃H3 was overexpressed in A549 cells and the apoptosis rate was analyzed by flow cytometry after Annexin V/PI double staining. Overexpression of B7⁃H3 and knockdown of SIRT1 were performed in A549 cell line. The expression levels of p53 and apoptosis-related proteins B-cell lymphoma/leukemia-2 （Bcl-2） and Bcl-2-associated X protein （Bax） were detected respectively by Western blot. Cell apoptosis rate was analyzed by flow cytometry after Annexin V/PI double staining. ResultsThe overall survival of the B7-H3 high-expression group was significantly lower than that of the low-expression group （P<0.01）. B7-H3 was significantly enriched in the cell apoptosis signaling pathway and the p53 signaling pathway （P<0.05）. Compared with the control group， the expression of SIRT1 was significantly downregulated， and p53 was significantly upregulated in the B7⁃H3 knockdown group （both P<0.001）. Overexpression of B7-H3 significantly up-regulated SIRT1 protein expression （P<0.05）， down-regulated p53 expression （P<0.01）， and markedly increased the Bcl-2/Bax ratio of apoptosis-related proteins （P<0.001）. The results of Annexin V/PI double staining showed that the apoptosis rate of A549 cells with overexpressed B7⁃H3 decreased （the apoptosis rate of the control group was 26.72%±4.13%， while that of the B7⁃H3 overexpression group was 13.87%±0.82%； P<0.01）. In B7-H3-overexpressing cell lines， SIRT1 knockdown significantly reversed apoptosis （P<0.05）， up-regulated p53 protein expression （P<0.001）， and markedly reduced the Bcl-2/Bax ratio （P<0.001）. ConclusionB7-H3 molecule inhibits the apoptosis of non-small cell lung cancer cells via the SIRT1/p53 signaling pathway.

Objective: To investigate the incidence, characteristics, and influencing factors of resolution discrepancies within the minipool (MP) testing model across Chinese blood station laboratories in 2024. Methods: A nationwide, multicenter, cross-sectional study was conducted, including 334 blood station laboratories that reported nucleic acid reactive data among enzyme immunoassay non-reactive samples. Of these, 296 laboratories adopted the pool resolution model, with a total of 12 536 273 samples tested. Systematic analysis was performed on resolution data, focusing on the MP-NAT reactivity rate, the pool resolution concordance rate, and the resolution discrepancy rate. Subgroup analyses were conducted based on reagent types, viral targets, and Ct values. Potential causes were further explored through laboratory surveys and re-examination of raw amplification curves. Results: In 2024, the national average MP-NAT reactivity rate was 0.15%. The overall pool resolution concordance rate was 57.86%, which showed a gradual decline as Ct values increased across all reagents. The national average resolution discrepancy rate was 0.081‱(102/12 536 273), with 17.91%(53/296) of laboratories reporting at least one discrepancy. Nine reagent types were associated with these events, exhibiting reagent-specific patterns. For Reagent A2, the predominant discrepancy was HBV reactive pools resolving as HIV (36.36%); for Reagent D1, HBV pools frequently resolved as HCV (38.89%); and for Reagent E, the most common pattern was HIV pools resolving as HBV (48.00%). These resolution discrepancies were strongly associated with high Ct values: the median pool Ct for HBV exceeded 38, while those for HCV and HIV both exceeded 40. Investigations across 16 laboratories revealed that most discrepant samples exhibited “tailing” amplification curves, with some cases linked to cross-contamination or reagent batch-specific issues. Conclusion: While the incidence of resolution discrepancies in the MP-NAT model remains low in China, variations exist across different reagents and laboratories. These discrepancies are closely associated with low viral load, reagent performance, and laboratory operational practices.

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 analyze the diagnostic process and clinical characteristics of autoimmune gastritis(AIG)in order to improve the awareness and diagnostic proficiency of this disease.Methods A retrospective cohort study was conducted on 114 patients diagnosed with AIG in Army Medical Center of PLA between January 2021 and June 2024.Comprehensive statistical analysis was performed on clinical data,including demographic characteristics(age,sex),clinical symptoms,comorbidities,diagnostic process,Helicobacter pylori(H.pylori)infection and treatment history,laboratory indicators[results of routine blood test,anemia-related indices,thyroid function,anti-parietal cell antibody(APCA),intrinsic factor antibody(IFA)],and gastrointestinal endoscopic findings(frequency and endoscopic features).Results Among the 114 patients,males accounted for 28.1%(32/114)and females for 71.9%(82/114),and they were at a mean age of 56.3±8.4 years.Predominant symptoms included epigastric/upper abdominal pain(47.4%,54/114)and postprandial fullness(43.0%,49/114),while 24.6%(28/114)reported acid reflux or heartburn.Diagnostic delay occurred in 76.4%(87/114)of patients,with a median delay duration of 11.5 months.Primary diagnostic clues were endoscopic reverse gradient atrophy(significantly more severe mucosal atrophy in the gastric corpus/fundus versus antrum;53.5%,61/114)and repeated H.pylori eradication failure(≥2 attempts;22.8%,26/114).Positivity rate of thyroid peroxidase antibody(TPOAb)and thyroglobulin antibody(TgAb)was 56.9%(33/58)and 36.2%(21/58),respectively.APCA positive rate was 98.8%(81/82),IFA positive rate was 34.1%(28/82),and dual-antibody rate was 32.9%(27/82).Anemia was present in 25.7%(26/101)of the patients.Gastric neuroendocrine tumors(NET)were found in 12.2%(14/114),intraepithelial neoplasia in 5.3%(6/114),and gastric adenocarcinoma in 0.9%(1/114).Among colonoscopy-examined patients,tubular adenomas occurred in 25.0%(13/52)and colorectal malignancies in 3.4%(2/58).There were 18.4%(21/114)patients having gallbladder-related diseases,7.9%(9/114)having diabetes mellitus,and 1.8%(2/114)of subacute combined degeneration of the spinal cord.Conclusion AIG is frequently associated with diagnostic delay.The reverse pattern of atrophy on endoscopy serves as a critical diagnostic clue,necessitating enhanced recognition in endoscopists.Patients with recurrent H.pylori eradication failure(≥2 attempts)should be evaluated for AIG.

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.

Fe/Mn/Gd polymetallic nanooxide(FMGN)were prepared by one-step solvent thermal reaction by using Fe(acac)3,Mn(acac)2 and Gd(acac)3 as reaction precursors.Next,hyaluronic acid(HA)was used to modify FMGN to fabricate tumor-targeting T 1-T 2 dual-mode magnetic resonance imaging(MRI)contrast agent(HA-FMGN)for accurate diagnosis of prostate cancer.The structure and morphology of FMGN were observed by transmission electron microscope(TEM).It was found that FMGN exhibited a uniform nanocluster spherical structure when the feeding ratio of iron acetylacetonate,manganese acetylacetonate,and gadolinium acetylacetonate was 3:2:1.X-ray diffraction(XRD)analysis showed that FMGN had a typical inverse spinel structure of Mn doped Fe 3O 4,with Gd existing in the form of amorphous gadolinium oxide.The longitudinal relaxivity(r 1)and transverse relaxivity(r 2)of FMGN were 13.395 and 428.535 L/(mmol·s),respectively,measured by 0.5 T MRI analyzer,which proved that FMGN had excellent T 1-T 2 dual-mode MRI contrast capability.The cytotoxicity and hemolysis test found that HA-FMGN didn't damage red cells and induce toxicity for normal cells,indicating that HA-FMGN had excellent cell biocompatibility.The internalization efficacy of HA-FMGN was observed by CLSM,and the results showed that HA-FMGN possessed excellent prostate tumor-targeting ability.In vivo MRI experiment showed that HA-FMGN significantly enhanced T 1 and T 2 weighted MRI signal to noise ratio(SNR)of prostate tumor,which promoted the accurate diagnosis of orthotopic prostate cancer.

A centrifugation-free,single-reaction colorimetric method for detection of glucose,utilizing a dual nanozyme cascade system based on gold nanoparticles(AuNPs)and iron-doped carbon dots(FeCDs),was developed in this work.The AuNPs exhibited glucose oxidase-like activity to catalyze glucose oxidation for generation of H2O2,while the FeCDs demonstrated peroxidase-like activity to subsequently catalyze the H2O2-mediated oxidation of 3,3',5,5'-tetramethylbenzidine(TMB).To prevent interference from the blue signal generated by self-aggregation of AuNPs in subsequent quantitative detection,the reaction system was terminated with HCl,converting oxTMB into a stable yellow product.Based on changes in the absorbance at 450 nm of this yellow solution,a quantitative relationship was established between glucose concentration and absorbance at 450 nm(A450).Experimental results demonstrated that this sensor achieved a linear detection range of 44 μmol/L to 11.11 mmol/L(R2=0.993)with a detection limit of 30.68 μmol/L and spiked recoveries of 97.9%-104.7%.By integrating smartphone-based color recognition capabilities,a rapid visual detection platform was established for quantification of glucose through RGB analysis.The validation experimental results using commercial glucose injection samples further confirmed the practical application potential of this methodology.

Objective : To establish an enzyme-linked immunosorbent assay (ELISA) for exosome B7-H3 in plas- ma , and to explore the clinical significance and diagnostic value of exosome B7-H3 in plasma from non-small cell lung cancer (NSCLC) . Methods : The plasma of 70 NSCLC patients (NSCLC group) and 36 healthy controls (HC group) were collected . Exosomes and microvesicles in plasma were separated by ultra-fast centrifuge method , and the expression levels of B7-H3 in plasma exosomes in NSCLC groups and HC groups were compared by Western blot method . In NSCLC group , the expression levels of B7-H3 in plasma exosomes and microvesicles in NSCLC group were compared . A simple and feasible ELISA method was established to detect the expression level of exosome B7 - H3 in plasma by means of polyethylene glycol (PEG) precipitation and its clinical significance was analyzed . Lo- gistic regression model was established to predict plasma-derived exosome B7-H3 as a risk factor , and receiver op- erating characteristic curve (ROC) was used to investigate the diagnostic value of exosome B7-H3 in NSCLC . Results: For exosomes and microvesicles in plasma which were extracted by ultracentrifugation , Western blot results showed that the expression level of B7-H3 in plasma exosomes of NSCLC group was higher than that of HC group (P = 0. 032) , and the expression level of B7-H3 in plasma exosomes was higher than that of microvesicles of NSCLC group (P = 0. 012) . The expression level of exosome B7-H3 in plasma extracted by PEG precipitation was also higher in NSCLC group than that in HC group (P = 0. 024) . The expression level of exosome B7-H3 in plasma of NSCLC patients was not related to gender , age , smoking or pathological type , but was related to T stage (P = 0. 002) , N stage (P < 0. 001) , M stage (P = 0. 010) and AJCC stage (P < 0. 001) . Multivariate Logistic regres- sion analysis identified exosome B7-H3 in plasma as a risk factor for NSCLC . ROC analysis showed that the sensi- tivity of exosome B7-H3 in plasma for the diagnosis of NSCLC (0. 843) was higher than that of carcinoembryonic antigen (CEA) (0. 743) , whereas the specificity (0. 722) was lower than that of CEA (0. 833) . Combined de- tection of exosome B7-H3 and CEA (AUC = 0. 928 , 95% CI:0. 877 - 0. 979) had a higher diagnostic performance for NSCLC . Conclusion B7-H3 in plasma exosomes is related to the cancer staging of NSCLC , and the combined detection of exosome B7-H3 and CEA in plasma is conducive to the laboratory diagnosis of NSCLC .

Objective To investigate the characteristics and differences of congenital endowment in senile dementia population based on the theory of five circuits and six qi.Methods Based on the cross-sectional data of China Health and Retirement Longitudinal Survey(CHARLS)in 2018,the dementia status of the population aged 60 and above in China was evaluated by using the Mini-Mental State Examination(MMSE),and the five-circuit and six-qi features at birth in the senile dementia population were analyzed by descriptive statistics and Chi-square goodness-of-fit test.Results A total of 854 patients with senile dementia were included.The five-circuit and six-qi features at birth in the senile dementia population were as follows:most of them were born at the heavenly stem of Bing while the least at the heavenly stem of Ji and Geng(P＜0.001),most of them were born at the earthly branch of Wei while the least at the earthly branch of Zi(P＜0.001),most of them were born at the yearly circuit of excessive water circuit while the least at the yearly circuit of excessive gold circuit and deficient earth circuit(P＜0.001),and most of the patients were born at sitan of taiyin damp-earth and zaiquan of taiyang cold-water while the least at sitan of jueyin wind-wood and zaiquan of shaoyang ministerial fire;no statistically significant differences were found in the dominant qi and guest qi(P＞0.05);most of the patients were born in the year of combination of circuit and qi being Shunhua while the least in the year of combination of circuit and qi being same celestial correspondence(P＜0.001),and the patients born in the year of Shunhua usually were frequently distributed in heavenly-stem and earthly-branch year of Jiawu(P＜0.001).Conclusion There is a certain relationship between the congenital endowment at birth and the incidence of senile dementia in the population of senile dementia.The circuit-qi features at birth for the prevalence of senile dementia are the yearly circuit of excessive water circuit,sitan of taiyin damp-earth and zaiquan of taiyang cold-water,and the year of the combination of circuit and qi being Shunhua.The population born at the time with the above circuit-qi features are prone to suffer the injury of the kidneys,the heart,and the spleen,and then result into illness.