Aim To study the correlation between es-trogen metabolism function of intestinal flora and liver fibrosis disease phenotype and differential intestinal bacteria by fecal microbiota transplantation(FMT).Methods C57BL/6J male mice were divided into normal group(Control-M),liver fibrosis Model group(Model),FMT-1 group(normal mice fecal microbiota transplantation from liver fibrosis mice),and FMT-2 group(liver fibrosis mice fecal microbiota transplanta-tion from female mice).The model group was induced by high fat and high glucose combined with low dose of CCl4 for 16 weeks.In the FMT group,the bacteria were destroyed by mixed antibacterial solution and then the corresponding fecal microbiota solution was given.The model group was established in the FMT-2 group and the model group at the same time.Liver function(ALT,AST)was detected by biochemical methods;liver inflammation(IL-1α,IL-6)was detected by ELISA;liver pathology was detected by HE and Mas-son methods;the expressions of α-SMA,collagen Ⅰ,estrogen receptor ERα,ERβ and GPER were detected by Western blot;estrogen metabolic enzymes β-glucu-ronidase and β-glucosidase in intestinal flora were de-tected by double antibody sandwich assay;gut microbi-ota was detected by 16S rDNA method;the correlation between estrogen metabolic enzymes,estrogen receptors and disease phenotypes and disease-related differential bacteria was analyzed by Pearson correlation analysis.Results Liver function,inflammation and fibrosis in-dices were significantly higher in the model group than those in the control-M group and significantly lower in the FMT-2 group than in the model group;estrogen metabolic enzymes of the intestinal flora significantly increased in the model group compared to the control-M group and significantly decreased in the FMT-2 group compared to the model group;the model group showed a significant increase in ERβ and GPER and a significant decrease in ERα compared to the control-M group,while the FMT-2 group showed a significant de-crease in ERβ and GPER and a significant increase in ERα compared to the model group;the FMT-2 group increased the enterobacterial abundance and diversity reduced by modelling;estrogen metabolic enzymes,es-trogen receptor ERβ and GPER were all positively cor-related with the disease phenotype,while the opposite was true for ERα;estrogen metabolic enzymes were positively correlated with Allobaculum,Ruminococcus and Alistipes,and negatively correlated with Akkerman-sia,Lactobacillus and Prevotella.Conclusions Fecal microbiota transplantation in female mice can alleviate liver fibrosis in male mice,which is related to the im-provement of estrogen metabolism of intestinal flora.

Aim To study the correlation between es-trogen metabolism function of intestinal flora and liver fibrosis disease phenotype and differential intestinal bacteria by fecal microbiota transplantation(FMT).Methods C57BL/6J male mice were divided into normal group(Control-M),liver fibrosis Model group(Model),FMT-1 group(normal mice fecal microbiota transplantation from liver fibrosis mice),and FMT-2 group(liver fibrosis mice fecal microbiota transplanta-tion from female mice).The model group was induced by high fat and high glucose combined with low dose of CCl4 for 16 weeks.In the FMT group,the bacteria were destroyed by mixed antibacterial solution and then the corresponding fecal microbiota solution was given.The model group was established in the FMT-2 group and the model group at the same time.Liver function(ALT,AST)was detected by biochemical methods;liver inflammation(IL-1α,IL-6)was detected by ELISA;liver pathology was detected by HE and Mas-son methods;the expressions of α-SMA,collagen Ⅰ,estrogen receptor ERα,ERβ and GPER were detected by Western blot;estrogen metabolic enzymes β-glucu-ronidase and β-glucosidase in intestinal flora were de-tected by double antibody sandwich assay;gut microbi-ota was detected by 16S rDNA method;the correlation between estrogen metabolic enzymes,estrogen receptors and disease phenotypes and disease-related differential bacteria was analyzed by Pearson correlation analysis.Results Liver function,inflammation and fibrosis in-dices were significantly higher in the model group than those in the control-M group and significantly lower in the FMT-2 group than in the model group;estrogen metabolic enzymes of the intestinal flora significantly increased in the model group compared to the control-M group and significantly decreased in the FMT-2 group compared to the model group;the model group showed a significant increase in ERβ and GPER and a significant decrease in ERα compared to the control-M group,while the FMT-2 group showed a significant de-crease in ERβ and GPER and a significant increase in ERα compared to the model group;the FMT-2 group increased the enterobacterial abundance and diversity reduced by modelling;estrogen metabolic enzymes,es-trogen receptor ERβ and GPER were all positively cor-related with the disease phenotype,while the opposite was true for ERα;estrogen metabolic enzymes were positively correlated with Allobaculum,Ruminococcus and Alistipes,and negatively correlated with Akkerman-sia,Lactobacillus and Prevotella.Conclusions Fecal microbiota transplantation in female mice can alleviate liver fibrosis in male mice,which is related to the im-provement of estrogen metabolism of intestinal flora.

Chlorfenapyr,an emerging synthetic pesticide,has been linked to a growing number of poisoning incidents,attributed to heightened human exposure as its application becomes more widespread.However,the toxicokinetics and toxicology of chlorfenapyr remain incompletely understood.Research since the 1990s,including animal experiments,has illuminated the absorption,distribution,excretion,and metabolism of chlorfenapyr.Toxicological investigations have revealed that the primary toxicity of chlorfenapyr is the uncoupling of oxidative phosphorylation.Chlorfenapyr exposure in humans and other animals can lead to various toxic effects,including neurotoxicity,cardiotoxicity,skeletal muscle toxicity,genotoxicity,reproductive and developmental toxicity,renal toxicity,splenic toxicity,and hematotoxicity.This article presents a comprehensive review of the toxicokinetics and toxicology of chlorfenapyr,integrating data from animal experiments,human cell line studies,clinical reports,and human autopsy.Its objective is to raise clinical awareness regarding chlorfenapyr poisoning and offer valuable references for its treatment and management.

Objective:To explore changes of acid-base metabolism in the brain tissue of patients with chronic ischemic cerebrovascular disease (CICVD) using MRI amide proton transfer-weighted (APTw) imaging.Methods:This was a cross-sectional study. From January 2021 to July 2022, thirty-nine patients with CICVD at West China Hospital, Sichuan University were retrospectively included. All patients received CT perfusion (CTP) and APTw imaging. NeuBrainCARE brain perfusion software was used to analyze the impaired perfusion sites and measure the mean transit time (MTT) and time to peak (TTP). Standard spatial matching between CTP and APTw images was performed to measure the APTw values of the same sites. For comparison with normal tissue, APTw values were measured for normal-appearing white matter (NAWM) in the ipsilateral cerebral hemisphere, the contralateral cerebral hemisphere, and the ipsilateral cerebellar hemisphere in areas of impaired perfusion. ANOVA was used to compare the APTw values of impaired perfusion brain tissue, ipsilateral cerebral NAWM, contralateral cerebral NAWM, and ipsilateral cerebellar NAWM. The Bonferroni method was used to correct for multiple comparisons. Pearson correlation coefficient was used to analyze the correlation between APTw values and MTT and TTP in the cerebral tissue with impaired perfusion.Results:In 39 patients with CICVD, both the mean and minimum APTw values of cerebral tissue with impaired perfusion were significantly lower than those in the NAWM of the ipsilateral cerebral hemisphere, the contralateral cerebral hemisphere, and the ipsilateral cerebellar hemisphere ( P<0.001). In the NAWM of the cerebellar hemispheres with unimpaired perfusion, both the mean and minimum APTw values were significantly higher than those in the ipsilateral cerebral hemispheres and the contralateral cerebral hemisphere ( P<0.001). Correlation analysis showed that MTT was significantly negatively correlated with both the mean APTw and the minimum APTw ( r values were -0.90 and -0.82, P<0.001). TTP was significantly negatively correlated with both the mean APTw and the minimum APTw ( r values were -0.86 and -0.78, P<0.001). Conclusion:APTw value can reflect acidosis in cerebral tissue with impaired perfusion in patients with CICVD.

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective:To analyze the patterns of dynamic functional connectivity(dFC) at rest in different obsessive-compulsive disorder(OCD) subtypes based on gray matter volume, and explore the relationship between abnormal gray matter volume and dFC patterns and clinical symptoms in different OCD subtypes.Methods:Clinical data were prospectively collected from a total of 48 patients with OCD from inpatient and outpatient departments of the Fourth Affiliated Hospital of Qiqihar Medical College(20 cases) and Qiqihar Mental Health Center(28 cases) from September 2013 to March 2020. There were 33 males and 15 females, aged 18 to 42(27.1±6.7) years. During the same period, 39 age-matched healthy controls were also recruited, including 31 males and 8 females, aged 18 to 43(28.5±8.6) years. Structural and resting-state functional magnetic resonance imaging scans were performed on 48 OCD patients(OCD group) who met the ICD-10 diagnostic criteria and 39 healthy controls(control group). Using voxel-based morphometry(VBM) and semi-supervised machine learning methods, the patient group was characterized by gray matter volume to perform subtype analysis, and brain regions with abnormal gray matter volume were selected as regions of interest for whole-brain voxel-wise dFC analysis. Correlations between abnormal gray matter volume and dFC and clinical symptoms in OCD patients were analyzed.Results:Based on gray matter volume, OCD patients were computed into two subtypes, of which subtype 1 increased gray matter volume in the right central posterior gyrus(809 voxels; t=4.31; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed), and subtype 2 showed reduced gray matter volume in the left superior temporal gyrus(1 118 voxels; t=-4.37; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed). In subtype 1, the dFC between the right central posterior gyrus and left medial superior frontal gyrus was significantly reduced(187 voxels; t=-4.42; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed); in subtype 2, dFC between the left superior temporal gyrus and left hippocampus, and left central opercular cortex was significantly reduced(272 voxels、99 voxels; t=-4.69, -5.01; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed). In subtype 1, dFC between the right central posterior gyrus and left medial superior frontal gyrus was negatively correlated with illness duration( r=-0.579; P=0.002, uncorrected). In subtype 2, dFC between the left superior temporal gyrus and left hippocampus was positively correlated with illness duration( r=0.578; P=0.003, uncorrected). Conclusions:In the resting state, patients with different subtypes of OCD may have different patterns of dFC abnormalities based on gray matter volume.

Objective:To analyze the patterns of dynamic functional connectivity(dFC) at rest in different obsessive-compulsive disorder(OCD) subtypes based on gray matter volume, and explore the relationship between abnormal gray matter volume and dFC patterns and clinical symptoms in different OCD subtypes.Methods:Clinical data were prospectively collected from a total of 48 patients with OCD from inpatient and outpatient departments of the Fourth Affiliated Hospital of Qiqihar Medical College(20 cases) and Qiqihar Mental Health Center(28 cases) from September 2013 to March 2020. There were 33 males and 15 females, aged 18 to 42(27.1±6.7) years. During the same period, 39 age-matched healthy controls were also recruited, including 31 males and 8 females, aged 18 to 43(28.5±8.6) years. Structural and resting-state functional magnetic resonance imaging scans were performed on 48 OCD patients(OCD group) who met the ICD-10 diagnostic criteria and 39 healthy controls(control group). Using voxel-based morphometry(VBM) and semi-supervised machine learning methods, the patient group was characterized by gray matter volume to perform subtype analysis, and brain regions with abnormal gray matter volume were selected as regions of interest for whole-brain voxel-wise dFC analysis. Correlations between abnormal gray matter volume and dFC and clinical symptoms in OCD patients were analyzed.Results:Based on gray matter volume, OCD patients were computed into two subtypes, of which subtype 1 increased gray matter volume in the right central posterior gyrus(809 voxels; t=4.31; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed), and subtype 2 showed reduced gray matter volume in the left superior temporal gyrus(1 118 voxels; t=-4.37; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed). In subtype 1, the dFC between the right central posterior gyrus and left medial superior frontal gyrus was significantly reduced(187 voxels; t=-4.42; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed); in subtype 2, dFC between the left superior temporal gyrus and left hippocampus, and left central opercular cortex was significantly reduced(272 voxels、99 voxels; t=-4.69, -5.01; GRF corrected voxel P<0.001, cluster P<0.05 two-tailed). In subtype 1, dFC between the right central posterior gyrus and left medial superior frontal gyrus was negatively correlated with illness duration( r=-0.579; P=0.002, uncorrected). In subtype 2, dFC between the left superior temporal gyrus and left hippocampus was positively correlated with illness duration( r=0.578; P=0.003, uncorrected). Conclusions:In the resting state, patients with different subtypes of OCD may have different patterns of dFC abnormalities based on gray matter volume.

AIM: To investigate the differences in visual recovery, corneal astigmatism, and rotation stability of Toric intraocular lens(TIOL)implantation in cataract patients with different axial lengths.METHODS: Retrospective analysis. A total of 132 patients(132 eyes)with age-related cataract and corneal astigmatism who underwent phacoemulsification cataract extraction combined with TIOL implantation in our hospital's ophthalmology department from February 2021 to September 2022 were selected. They were divided into two groups based on the axial length: the group with axial length ≤24mm(79 cases, 79 eyes)and the group with axial length >24mm(53 cases, 53 eyes). Compare the best corrected distance visual acuity(BCDVA), corneal astigmatism, and TIOL rotation between the two groups of patients at 3mo after surgery.RESULT: After 3mo of surgery, both groups of patients had improved BCDVA and significantly decreased corneal astigmatism compared to those before surgery(P<0.001). However, there was no difference in BCDVA and corneal astigmatism between the two groups(P>0.05), and there was no significant difference in TIOL rotation between the two groups [(5.24±3.72)° vs.(6.36±4.21)°, P=0.110].CONCLUSION: There is no significant difference in visual recovery, corneal astigmatism, and TIOL rotational stability after TIOL implantation in cataract patients with different axial lengths.

Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.
Humans ; Carcinoma, Non-Small-Cell Lung/surgery* ; Lung Neoplasms/diagnosis* ; Retrospective Studies ; Autoantibodies ; Bayes Theorem ; Tumor Suppressor Protein p53 ; Carcinoembryonic Antigen ; Antigens, Neoplasm ; Biomarkers, Tumor ; Algorithms ; Pneumonia