OBJECTIVE To investigate the influence of CYP2C19 gene polymorphism on platelet function and inflammatory cytokines in elderly patients with ischemic stroke， and to analyze potential factors associated with poor prognosis. METHODS A retrospective study was conducted on elderly patients with ischemic stroke admitted to our hospital from June 2024 to June 2025， wh o underwent CYP2C19 genotype testing and received antiplatelet therapy with clopidogrel. The levels of platelet function indicators and inflammatory cytokines before and after treatment were compared among patients with different metabolic phenotypes. Based on the prognosis at 6 months post-treatment， patients were divided into poor prognosis group and good prognosis group. Univariate analysis was performed on general data， metabolic phenotype， the levels of platelet function indicators and inflammatory cytokines. Variables with P ＜0.05 and the levels of inflammatory cytokines before treatment were included in a multivariate Logistic regression analysis to identify independent risk factors for poor prognosis. Multiple linear regression was used to further analyze the relationship between metabolic phenotypes and inflammatory cytokines. RESULTS A total of 448 elderly patients with ischemic stroke were included； among them， 162 cases were normal metabolic phenotype， 218 were intermediate metabolic phenotype， and 68 were poor metabolic phenotype. No rapid or ultrarapid metabolic phenotypes were observed. After treatment， platelet aggregation rate， the levels of P-selectin and platelet activated complex-1 （PAC-1）， high-sensitivity C-reactive Protein （hs-CRP）， interleukin-1β （IL-1β）， IL-6 and tumor necrosis factor-α （TNF-α） in the normal metabolic phenotype group， intermediate metabolic phenotype group， and poor metabolic phenotype group （except for platelet aggregation rate， and the levels of P-selectin and PAC-1 in the poor metabolic phenotype group） were significantly lower than those before treatment in the same group. Moreover， the above indicators in the normal metabolic phenotype group were significantly lower than those in the intermediate and poor metabolic phenotype groups at the corresponding time， and the levels of platelet function indicators in the intermediate metabolic phenotype group were significantly lower than those in the poor metabol ic phenotype group at the corresponding time （ P ＜0.05）. Univariate and multivariate Logistic regression analyses showed that combined with hypertension， combined with diabetes mellitus， and intermediate or poor metabolic genotypes were independent risk factors for poor prognosis in elderly patients with ischemic stroke （ P ＜0.05）. Multiple linear regression analysis showed that serum levels of hs-CRP， IL-1β， IL-6 and TNF-α before treatment were significantly higher in patients with intermediate and poor metabolic genotypes compared to those with normal metabolic genotype （ P ＜0.05）， with a greater magnitude of increase in inflammatory cytokines observed in the patients with poor metabolic genotype. CONCLUSIONS The elderly ischemic stroke patients with CYP2C19 intermediate and poor metabolic genotypes have poor inhibition effect on platelet and higher levels of inflammatory cytokines than normal metabolic genotype； CYP2C19 gene polymorphism， and in combination with hypertension and diabetes， can be used as independent predictors of poor prognosis.

ObjectiveMagnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling. MethodsThis study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range. ResultsMEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection. ConclusionThese results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.

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

OBJECTIVE: To determine the carrier rate for thalassemia mutations in the ethnic Miao population of Qianxinan Prefecture. METHODS: Ethnic Miao people suspected for thalassemia trait at the People's Hospital of Qianxinan Prefecture, Guizhou Province between November 2020 to September 2024 were selected as the study subjects. Gap-PCR technology combined with high-throughput sequencing was used to screen a total of 666 individuals. ArcMap v10.8.2 was used to create a spatial distribution map of thalassemia based on the screening results. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: 2016-01). RESULTS: In total 254 positive cases were detected, with an overall positive rate of 38.14%. Among these, 173 cases were α-thalassemia (25.98%), 77 cases were β-thalassemia (11.56%), and 4 cases were αβ compound thalassemia (0.60%). The most common genotypes for α-thalassemia were αα/--^SEA (positive rate = 10.06%, accounting for 38.73%), αα/-α^3.7 (positive rate = 8.86%, accounting for 34.10%), and α^CSα/αα (positive rate = 4.95%, accounting for 19.08%). The most common genotypes for β-thalassemia were β^41/42(-TTCT)/β^A (positive rate = 5.11%, accounting for 44.16%) and β^{17 (A>T)}/β^A(positive rate = 4.20%, accounting for 36.36%), with these two genotypes accounting for as much as 80.52%. The spatial distribution map indicated that the highest overall detection rate of thalassemia and α-thalassemia in the Miao population of Qianxinan Prefecture was in Xingyi City. The highest detection rate of β-thalassemia was in Zhenfeng County, and the highest detection rate of αβ compound thalassemia was in Wangmo County. CONCLUSION The detection rate of thalassemia among the ethnic Miaos from Qianxinan Prefecture is relatively high, which primarily consisted of α-thalassemia. Regular monitoring and educational outreach should be conducted.
Humans ; China/ethnology* ; Female ; Male ; Genetic Testing ; Adult ; alpha-Thalassemia/genetics* ; Thalassemia/ethnology* ; Ethnicity/genetics* ; Genotype ; beta-Thalassemia/ethnology* ; Adolescent ; Mutation ; Middle Aged ; Child ; Asian People/genetics* ; Young Adult

AIM To investigate the renal protective effects of Qizhi Tongluo Formula on a mouse model of diabetic nephropathy.METHODS The male db/db mice were randomly divided into the model group,the dapagliflozin group(0.76 mg/kg)and the low,medium and high dose Qizhi Tongluo Formula groups(7.83,15.65 and 31.3 g/kg),with 6 mice in each group,in contrast to the 6 db/m mice of the control group.When the mice of the control group and the model group were given distilled water by gavage,those of the other administration groups were dosed with the corresponding drug by gavage once daily for 8 weeks.After the drug administration,the mice had their levels of FBG,BUN,Scr and 24 h-UTP detected;their renal pathological changes observed by transmission electron microscopy(TEM)and HE staining;their levels of serum Nrf2,HO-1,Keap1 and renal oxidative stress assessed by ELISA;their renal Nrf2 protein expression observed by immunofluorescence(IF);their renal protein expressions of Nrf2,HO-1 and Keap1 detected by Western blot;and their renal Nrf2,HO-1,and Keap1 mRNA expressions detected by RT-qPCR.RESULTS Compared with the control group,the model group displayed increased levels of 24 h-UTP,Scr,FBG and renal MDA(P＜0.01);decreased renal activities of SOD,CAT and GSH-Px(P＜0.01);mild glomerular mesangial hyperplasia,vacuolated renal tubular epithelial cells,widely fused podocyte foot processes,disappearance of tear film,decreased secretion levels of serum Nrf2 and HO-1 and renal protein and mRNA expressions of Nrf2 and HO-1(P＜0.05,P＜0.01);and decreased secretion levels of serum Keap1 and renal Keap1 protein and mRNA expressions(P＜0.01).Compared with the model group,the high-dose Qizhi Tongluo Formula group demonstrated decreased levels of 24 h-UTP,Scr,FBG and renal MDA(P＜0.01);increased renal activities of SOD,CAT and GSH-Px(P＜0.01);alleviated renal pathological damage,increased secretion levels of serum Nrf2 and HO-1 and renal protein and mRNA expressions of Nrf2 and HO-1(P＜0.01);and increased level of serum Keap1 secretion and renal Keap1 protein and mRNA expressions(P＜0.01).CONCLUSION Qizhi Tongluo Formula can inhibit oxidative stress and alleviate kidney damage in db/db mice by activating Nrf2/Keap1/ARE signaling pathway.

Extracorporeal membrane oxygenation(ECMO)provides blood circulation with assisted breathing for patients with severe cardiopulmonary failure,and buys valuable time for the rescue of critical patients.However,extracorporeal membrane oxygenation is often associated with serious complications.Small animal models have the advantages of low price,wide source,high flexibility and good reproducibility,and are an effective platform for evaluating strategies for prevention and treatment of ECMO complications.In recent years,more and more experimental studies have been conducted using small animal ECMO models.In this paper,the current status of the construction and application of small animal ECMO models at home and abroad is summarized,in order to optimize the related strategies of small animal ECMO model construction and promote the application and development of small animal ECMO models.

Objective:To analyze the factors associated with long-term survival after radical resection of hepatitis B virus(HBV)-associated hepatocellular carcinoma(HCC),and to construct random forest and Cox regression models,to evaluate the two models.Methods:A total of 368 patients with HBV-infected HCC who underwent radical resection were selected retrospectively.These patients were categorized as having a good prognosis(n=266)or a poor prognosis(n=102)based on their survival and mortality status.Univariate and Cox regression analysis were used to identify fac-tors that predict poor prognosis in HCC patients after surgery,and Cox regression and random forest prediction models were constructed and evaluated.Results:There were significant differences in smoking history,Child-Pugh classifica-tion,cirrhosis,microvascular invasion,TNM staging,tumor capsule integrity,platelet-to-lymphocyte ratio(PLR),regular antiviral therapy,HBV-DNA load,alpha-fetoprotein(AFP),neutrophil-to-lymphocyte ratio(NLR),systemic immune in-flammatory index(SII),and albumin-to-globulin ratio(AGR)between the two groups(P<0.05);Cox regression showed that cirrhosis,microvascular invasion,regular antiviral treatment,HBV-DNA load,NLR,PLR,SII,and AGR were related factors that negatively affected the prognosis of patients with HBV-infected HCC after surgery(P<0.05),with an AUC of 0.870 for predicting prognosis;the importance ranking obtained by the random forest model was HBV-DNA load,cirrho-sis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII,with an AUC of 0.926 for predicting prog-nosis;the AUC predicted by the random forest model was greater than that predicted by the Cox regression model(Z=2.411,P=0.016).Conclusion:HBV-DNA load,cirrhosis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII are factors that affect the poor prognosis of patients with HBV-related HCC after surgery.The random for-est prediction model constructed based on these factors has high predictive value and is superior to the Cox regression prediction model.

The aim of this study was to establish a rapid,highly sensitive,and specific nucleic acid detection method for the H5N6 and H9N2 avian influenza virus(AIV)subtypes by using reverse transcription-recombinase polymerase amplification(RT-RPA)combined with clustered regularly interspaced short palindromic repeats(CRISPR)-Cas13a proteins.The conserved regions were selected to design specific RT-RPA primers and crRNA sequences of H5,H6,H9,and N2 genes.RT-RPA tech-nology combined with CRISPR-Cas13a detection was used to evaluate the sensitivity and specificity of AIV nucleic acid detec-tion.The detection was performed on avian influenza environmental samples and compared with the results of fluorescence quantitative RT-PCR,to evaluate the effectiveness of the RT-RPA technology combined with CRISPR-Cas13a.AIV H5,H9,and N2 subtypes were detected with a sensitivity as high as 1 copy/μL,and AIV N6 subtypes were detected with a sensitivity of 10 copies/μL.Plasmid samples with differing copy numbers showed fluorescence under blue LED transillumination.The four AIV subtypes showed high specificity and did not cross-react with the other AIV subtypes.The detection of avian influenza ex-ternal environmental samples containing AIV H5,N6,and H9 subtypes was consistent with the results of fluorescence quanti-tative RT-PCR,with 100％accuracy.For AIV N2 subtypes,one additional negative sample was detected with 97.9％accuracy.The established RT-RPA technology combined with CRISPR-Cas13a detection enabled sensitive,specific visual detection of AIV H5N6 and H9N2 subtypes.This study provides a new nucleic acid detection method for AIV surveillance and subtype clas-sification.

The inference of tissue origin of body fluid stains is crucial for case investigation and court proceedings.However,traditional methods for identification of body fluid stains,such as morpho-logical,chemical,and immunoassay identifications have certain limitations,and there is an urgent need for more efficient methods for confirmatory experiments.In recent years,the rapid development of tran-scriptomics technology has provided new means for the identification of tissue origin of body fluid stains.Different types of RNA in the transcriptome have their own advantages.This paper elaborates in detail on the application of different types of RNA,such as mRNA,miRNA,circRNA,lncRNA,piRNA and microbial transcriptomics in body fluid identification,and summarizes their respective ad-vantages and limitations,in order to provide a reference for related research.

Objective To study the risk factors of preoperative deep vein thrombosis(DVT)in middle-aged and elderly patients with lower limb fractures,and establish and evaluate the constructed nomogram model.Methods A retrospective analysis was conducted on the clinical data of totally 240 middle-aged and elderly patients with lower limb fractures at Quanzhou First Hospital Affiliated to Fujian Medical University from July 2023 to June 2024.According to whether the patient had DVT before surgery,they were divided into a DVT group of 75 cases and a non DVT group of 165 cases.The differences in clinical data and some labora-tory indicators levels at the time of initial admission,including platelets(PLT),prothrombin time(PT),ac-tive partial thromboplastin time(APTT),fibrinogen(FIB),thrombin time(TT),D-dimer(D-D),total pro-tein(TP),albumin(ALB),triglycerides(TG),cholesterol(CHOL),high-density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)between two groups were compared.Logistic binary regression was used to analyze the risk factors of DVT and a nomogram model was constructed.Receiver oper-ating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of various risk factors and nomo-gram model in screening DVT.Results Compared age and D-D levels of the DVT group were significantly higher(P＜0.001),while the levels of APTT,TP and ALB were significantly lower(P＜0.05),and the pro-portion of DVT combined with internal diseases and the proportion of fractures in the femur were significantly higher(P＜0.001).The above-mentioned differential indicators were all single risk factors for DVT.ROC curve analysis showed that except for comorbidities of internal medicine,all other risk factors could effectively screen for DVT(P＜0.05),the area under the curve(AUC)was 0.573-0.706,and the constructed nomo-gram model could effectively improve AUC to 0.797.Conclusion The nomogram model constructed based on single risk factors for DVT in this study is helpful for clinical assessment of the risk of DVT occurrence in pa-tients at the early stage of admission,intuitively and effectively.