1.Mechanisms of Mahuang Lianqiao Chixiaodoutang in Improving Obesity-type Polycystic Ovary Syndrome in Rats Based on PI3K/Akt Signaling Pathway
Shiwei HU ; Biran ZHU ; Jinrong ZHANG ; Luyao RUAN ; Ji KUANG ; Jianghuan HUA ; Zhe LIU ; Yanyue YAO ; Ji WANG ; Min ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):21-31
ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang (MLC) improves obesity-type polycystic ovary syndrome (PCOS) through the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway. MethodsThirty-six female Sprague-Dawley (SD) rats were randomly divided into a blank control group (Con) and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole (1 mg·kg-1) combined with a high-fat diet (HFD). After model establishment, the obesity-type PCOS model preparation group was further divided into the model group (Mod, normal saline), metformin group (Met, 0.3 g·kg-1), low-dose MLC group (MLC-L, 4.3 g·kg-1), medium-dose MLC group (MLC-M, 8.6 g·kg-1), and high-dose MLC group (MLC-H, 17.2 g·kg-1). Active components of MLC and targets of obesity-type PCOS were screened from databases, a protein-protein interaction (PPI) network was constructed, and gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin (HE) staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL). Enzyme-linked immunosorbent assay (ELISA) was used to detect levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), anti-Müllerian hormone (AMH), testosterone (T), and estradiol (E2). Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K (p-PI3K/PI3K), phosphorylated Akt/Akt (p-Akt/Akt), B-cell lymphoma-2 (Bcl-2), and Bcl-2-associated X protein (Bax). ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing, the abundances of Lachnospiraceae, Lachnoclostridium, and Dorea were increased in the MLC groups (P<0.05), while the abundance of Veillonella was decreased (P<0.05). KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that, compared with the Mod group, body weight decreased to normal levels in the Met, MLC-M, and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T, FSH, and LH/FSH were reduced (P<0.05, P<0.01), while the E2 level was increased (P<0.01). Ovarian cell apoptosis was reduced (P<0.01), and the protein expression levels of p-PI3K/PI3K, p-Akt/Akt, and Bcl-2 in ovarian tissue were significantly increased, whereas Bax protein expression was significantly decreased (P<0.05, P<0.01). ConclusionMLC can regulate gut microbiota structure, effectively improve ovarian pathology in rats with obesity-type PCOS, and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.
2.Mechanisms of Mahuang Lianqiao Chixiaodoutang in Improving Obesity-type Polycystic Ovary Syndrome in Rats Based on PI3K/Akt Signaling Pathway
Shiwei HU ; Biran ZHU ; Jinrong ZHANG ; Luyao RUAN ; Ji KUANG ; Jianghuan HUA ; Zhe LIU ; Yanyue YAO ; Ji WANG ; Min ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):21-31
ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang (MLC) improves obesity-type polycystic ovary syndrome (PCOS) through the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway. MethodsThirty-six female Sprague-Dawley (SD) rats were randomly divided into a blank control group (Con) and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole (1 mg·kg-1) combined with a high-fat diet (HFD). After model establishment, the obesity-type PCOS model preparation group was further divided into the model group (Mod, normal saline), metformin group (Met, 0.3 g·kg-1), low-dose MLC group (MLC-L, 4.3 g·kg-1), medium-dose MLC group (MLC-M, 8.6 g·kg-1), and high-dose MLC group (MLC-H, 17.2 g·kg-1). Active components of MLC and targets of obesity-type PCOS were screened from databases, a protein-protein interaction (PPI) network was constructed, and gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin (HE) staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL). Enzyme-linked immunosorbent assay (ELISA) was used to detect levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), anti-Müllerian hormone (AMH), testosterone (T), and estradiol (E2). Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K (p-PI3K/PI3K), phosphorylated Akt/Akt (p-Akt/Akt), B-cell lymphoma-2 (Bcl-2), and Bcl-2-associated X protein (Bax). ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing, the abundances of Lachnospiraceae, Lachnoclostridium, and Dorea were increased in the MLC groups (P<0.05), while the abundance of Veillonella was decreased (P<0.05). KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that, compared with the Mod group, body weight decreased to normal levels in the Met, MLC-M, and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T, FSH, and LH/FSH were reduced (P<0.05, P<0.01), while the E2 level was increased (P<0.01). Ovarian cell apoptosis was reduced (P<0.01), and the protein expression levels of p-PI3K/PI3K, p-Akt/Akt, and Bcl-2 in ovarian tissue were significantly increased, whereas Bax protein expression was significantly decreased (P<0.05, P<0.01). ConclusionMLC can regulate gut microbiota structure, effectively improve ovarian pathology in rats with obesity-type PCOS, and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.
3.Differences in deltamethrin resistance and kdr gene mutation in Culex tritaeniorhynchus population in and outside the Yellow Sea wetland
Xiao-er ZHANG ; Zhi-ming WU ; Ye TIAN ; Qian CUI ; Yu-qian JI ; Huan WANG ; Shu-juan YANG ; Yi-chao ZHAO ; Yu WANG ; Hua-yu YIN ; Yu DING ; Guo-jin YAN ; Min-sen ZHAO ; Shou-gang ZHANG ; Bing-dong SONG ; Hong-na CHEN ; Jian GAO ; Wei-fang YANG ; Yu-fu ZHANG ; Hui LIU ; Hong-liang CHU
Acta Parasitologica et Medica Entomologica Sinica 2026;33(2):101-107
Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.
4.The parallel mediating effects of anxiety and depression states between life events and behavior problems in adolescents
Zihao YANG ; Qingqing ZHANG ; Dan WANG ; Lei ZHANG ; Hua ZHENG ; Lijing SHI ; Nana WANG ; Yihan ZHANG ; Zhenyi LI ; Min SUN ; Huimin CHEN ; Huiping CHENG ; Ruiling ZHANG ; Chuansheng WANG
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(3):259-265
Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.
5.Clinical characteristics and prognostic risk factors of patients with atrial fibrillation related to septic shock
Jiading XIA ; Liwei HUA ; Min XU ; Guobin LI ; Xin ZHENG ; Kun ZHANG
Journal of China Medical University 2025;54(7):631-637
Objective To analyze the clinical characteristics and prognostic risk factors of patients with atrial fibrillation(AF)related to septic shock admitted to the intensive care unit(ICU).Methods This retrospective cohort study included 152 patients with septic shock who were admitted to the ICU between January 2020 and December 2023.Patients were categorized into AF(n=48)and non-AF(n=104)groups based on the occurrence of AF.Clinical parameters were compared between the two groups,and variables with statistically significant differences(P<0.05)were entered into a multivariate logistic regression analysis to identify clinical features associated with AF.Patients were also stratified into survival(n=103)and death(n=49)groups based on 28-day outcomes.Variables showing signifi-cant intergroup differences(P<0.05)were further included in a multivariate model to identify independent risk factors for mortality.Kaplan-Meier survival analysis was performed using AF as a binary variable,and log-rank tests were applied to compare survival curves.Results The incidence of AF was 31.58%among patients with septic shock.Compared with the non-AF group,the AF group was older,received higher cumulative doses of vasoactive agents,and had elevated levels of lactate(Lac),N-terminal brain natriuretic peptide precursor(NT-proBNP),troponin I(cTnI),tumor necrosis factorα(TNF-α),and C-reactive protein(CRP).The AF group also had higher E/e'ratios,left ventricular ejection fraction(LVEF),Acute Physiology and Chronic Health Evaluation-Ⅱ(APACHEⅡ)scores,Sequen-tial Organ Failure Assessment(SOFA)scores,and 28-day mortality rates(all P<0.05).Multivariate logistic regression identified age(odds ratio[OR]=1.060,P=0.015),SOFA score(OR=1.525,P=0.001),TNF-α(OR=1.009,P=0.026),CRP(OR=1.008,P=0.002),and E/e'(OR=1.363,P=0.023)as independent risk factors for AF.The 28-day mortality rate was 32.24%.Compared with survivors,non-survivors had significantly higher Lac,cTnI,E/e',LVEF,and TNF-α levels,higher APACHEⅡand SOFA scores,longer ICU stays,and a higher incidence of AF(all P<0.05).Multivariate analysis identified SOFA score,cTnI,E/e',and AF as independent predictors of 28-day mortality.Kaplan-Meier analysis revealed significantly poorer survival in patients with AF(χ2=6.747,P=0.009).Conclusion AF is common in ICU patients with septic shock.Advanced age,greater organ dysfunction,elevated inflammatory markers,and diastolic dysfunction are associated with AF occurrence.Organ dysfunction,myocardial injury,diastolic dysfunction,and AF are inde-pendent predictors of mortality in this population.Greater clinical attention is warranted in patients with AF and septic shock due to their elevated risk of poor outcomes.
6.Effects of epifriedelanol on gene expression of P-glycoprotein in human colorectal adenocarcinoma cell line LS174T
Jie JIANG ; Xiao-li ZHANG ; Shi-jia XIANG ; Li-hua YAO ; Guo-ping ZHONG ; Min HUANG ; Yu-hua LI
The Chinese Journal of Clinical Pharmacology 2025;41(1):50-54
Objective To investigate the effect of epifriedelanol(Epi)on gene expression of P-glycoprotein(P-gp)in human colorectal adenocarcinoma cell line LS174T and its mechanism.Methods LS174T cells were divided into control group and experimental-L,-M,-H groups.Experimental-L,-M,-H groups were treated with 5,10,20 μmol·L-1 Epi,respectively.Control group was treated with 0.1%dimethyl sulfoxide.Polymerase chain reaction was used to detect the mRNA expression level of P-gp.Theeffect of Epi on multidrug resistance protein 1(MDR1/P-gp)luciferase activity was investigated by pregnane X receptor(PXR)-MDR1/P-gp dual luciferase reporter gene assay.In addition,Western Blot was used to detect the protein expression level of P-gp and the nuclear factor-κB(NF-κB)pathway related proteins.Results The relative expression levels of P-gp mRNA in experimental-M,-H groups and control group were 52.24±5.19,23.00±3.52 and 100.00±9.00;the relative expression levels of P-gp protein were 86.37±9.96,74.85±15.92 and 100.00±12.91;the relative activities P-gp luciferase were 230.19±41.32,203.10±52.84 and 279.67±19.20;the relative expression levels of p65(RelA/p65)in nucleus were 132.36±23.93,145.96±25.15 and 100.00±10.88;the relative expression levels of phosphorylation NF-κB inhibits protein kinase α/β(p-IKKα/β)in cytoplasm were 184.00±54.82,290.10±49.59 and 100.00±15.34;the relative expression levels of phosphorylated NF-κB inhibitory protein α(p-IκBα)in cytoplasm were 125.73±18.77,133.69±20.25 and 100.00±8.12;the relative expression levels of IκBα in cytoplasm were 78.36±14.83,70.44±14.57 and 100.00±22.82,respectively.The above indexes of experimental-M and experimental-H groups were compared with control group,and the differences were statistically significant(P<0.05,P<0.01,P<0.001).Conclusion Epi can down-regulate the gene expression of P-gp in human colorectal adenocarcinoma cell line LS174T,and the mechanism may be related to activation of NF-κB and suppression of PXR.
7.Predictive value of bpMRI for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L.
Lai DONG ; Rong-Jie SHI ; Jin-Wei SHANG ; Zhi-Yi SHEN ; Kai-Yu ZHANG ; Cheng-Long ZHANG ; Bin YANG ; Tian-Bao HUANG ; Ya-Min WANG ; Rui-Zhe ZHAO ; Wei XIA ; Shang-Qian WANG ; Gong CHENG ; Li-Xin HUA
National Journal of Andrology 2025;31(5):426-431
Objective: The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods: The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results: Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62-24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16-17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12-3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion: For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans
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Male
;
Prostatic Neoplasms/diagnostic imaging*
;
Lymphatic Metastasis
;
Retrospective Studies
;
Nomograms
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Prostate-Specific Antigen/blood*
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Lymph Nodes/pathology*
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Pelvis
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Predictive Value of Tests
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Prostatectomy
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Lymph Node Excision
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Risk Factors
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Magnetic Resonance Imaging
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Logistic Models
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Middle Aged
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Aged
8.Retraction Note: Fluoxetine is Neuroprotective in Early Brain Injury via its Anti-inflammatory and Anti-apoptotic Effects in a Rat Experimental Subarachnoid Hemorrhage Model.
Hui-Min HU ; Bin LI ; Xiao-Dong WANG ; Yun-Shan GUO ; Hua HUI ; Hai-Ping ZHANG ; Biao WANG ; Da-Geng HUANG ; Ding-Jun HAO
Neuroscience Bulletin 2025;41(11):2106-2106
9.Early warning method for invasive mechanical ventilation in septic patients based on machine learning model.
Wanjun LIU ; Wenyan XIAO ; Jin ZHANG ; Juanjuan HU ; Shanshan HUANG ; Yu LIU ; Tianfeng HUA ; Min YANG
Chinese Critical Care Medicine 2025;37(7):644-650
OBJECTIVE:
To develop a method for identifying high-risk patients among septic populations requiring mechanical ventilation, and to conduct phenotypic analysis based on this method.
METHODS:
Data from four sources were utilized: the Medical Information Mart for Intensive Care (MIMIC-IV 2.0, MIMIC-III 1.4), the Philips eICU-Collaborative Research Database 2.0 (eICU-CRD 2.0), and the Anhui Medical University Second Affiliated Hospital dataset. The adult patients in intensive care unit (ICU) who met Sepsis-3 and received invasive mechanical ventilation (IMV) on the first day of first admission were enrolled. The MIMIC-IV dataset with the highest data integrity was divided into a training set and a test set at a 6:1 ratio, while the remaining datasets were served as validation sets. The demographic information, comorbidities, laboratory indicators, commonly used ICU scores, and treatment measures of patients were extracted. Clinical data collected within first day of ICU admission were used to calculate the sequential organ failure assessment (SOFA) score. K-means clustering was applied to cluster SOFA score components, and the sum of squared errors (SSE) and Davies-Bouldin index (DBI) were used to determine the optimal number of disease subtypes. For clustering results, normalized methods were employed to compare baseline characteristics by visualization, and Kaplan-Meier curves were used to analyze clinical outcomes across phenotypes.
RESULTS:
This study enrolled patients from MIMIC-IV dataset (n = 11 166), MIMIC-III dataset (n = 4 821), eICU-CRD dataset (n = 6 624), and a local dataset (n = 110), with the four datasets showing similar median ages and male proportions exceeding 50%; using 85% of the MIMIC-IV dataset as the training set, 15% as the test set, and the rest dataset as the validation set. K-means clustering based on the six-item SOFA score was performed to determine the optimal number of clusters as 3, and patients were finally classified into three phenotypes. In the training set, compared with the patients with phenotype II and phenotype III, those with phenotype I had the more severe circulatory and respiratory dysfunction, a higher proportion of vasoactive drug usage, more obvious metabolic acidosis and hypoxia, and a higher incidence of congestive heart failure. The patients with phenotype II was dominated by respiratory dysfunction with higher visceral injury. The patients with phenotype III had relatively stable organ function. The above characteristics were consistent in both the test and validation sets. Analysis of infection-related indicators showed that the patients with phenotype I had the highest SOFA score within 7 days after ICU admission, initial decreases and later increases in platelet count (PLT), and higher counts of neutrophils, lymphocytes, and monocytes as compared with those with phenotype II and phenotype III, their blood cultures had a higher positivity rates for Gram-positive bacteria, Gram-negative bacteria and fungi as compared with those with phenotype II and phenotype III. The Kaplan-Meier curve indicated that in the training, test, and validation sets, the 28-day cumulative mortality of patients with phenotype I was significantly higher than that of patients with phenotypes II and phenotype III.
CONCLUSIONS
Three distinct phenotypes in septic patients receiving IMV based on unsupervised machine learning is derived, among which phenotype I, characterized by cardiorespiratory failure, can be used for the early identification of high-risk patients in this population. Moreover, this population is more prone to bloodstream infections, posing a high risk and having a poor prognosis.
Humans
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Machine Learning
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Sepsis/therapy*
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Respiration, Artificial
;
Intensive Care Units
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Organ Dysfunction Scores
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Male
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Female
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Middle Aged
;
Adult
10.Association between ABO Blood Types and the Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study.
Shuang Hua XIE ; Shuang Ying LI ; Shao Fei SU ; En Jie ZHANG ; Shen GAO ; Yue ZHANG ; Jian Hui LIU ; Min Hui HU ; Rui Xia LIU ; Wen Tao YUE ; Cheng Hong YIN
Biomedical and Environmental Sciences 2025;38(6):678-692
OBJECTIVE:
To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk.
METHODS:
A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk.
RESULTS:
A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses.
CONCLUSION
The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans
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Female
;
Pregnancy
;
Diabetes, Gestational/etiology*
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ABO Blood-Group System
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Adult
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Prospective Studies
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Risk Factors
;
Young Adult


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