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.

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.

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 ; Machine Learning ; Sepsis/therapy* ; Respiration, Artificial ; Intensive Care Units ; Organ Dysfunction Scores ; Male ; Female ; Middle Aged ; Adult

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 ; Female ; Pregnancy ; Diabetes, Gestational/etiology* ; ABO Blood-Group System ; Adult ; Prospective Studies ; Risk Factors ; Young Adult

OBJECTIVES: This study aims to analyze the clinical symptoms and imaging manifestations in patients with temporomandibular disorder syndrome (TMD), who are sensitive to sudden temperature drop. METHODS: One hundred and nineteen patients with TMD who attended the Department of Stomatology of the First Medical Center of Chinese People's Liberation Army General Hospital from December 2022 to December 2023 were included, including 44 males and 75 females, with a mean age of 32.4±13.7 years.The questionnaire was used to determine whether they were sensitive to temperature drop, and the TMD patients were divided into a temperature plunge-sensitive group and a temperature drop insensitive group. The clinical symptoms and imaging manifestations of patients in the two groups were observed. SPSS 25.0 was used for statistical analysis. RESULTS: There was no statistically significant difference between the gender and age of patients in the temperature plunge-sensitive group (50 patients) and the insensitivity group (69 patients) (P>0.05). The percentage of patients with pain was slightly higher in the temperature plunge-sensitive group [86.0% (43/50)] than in the insensitive group [68.1% (47/69)], and the difference was statistically significant (χ²=5.031, P=0.025), while the differences in joint murmur and mouth opening limitation between the two groups were not statistically significant. A total of 238 lateral joints were detected in both groups, the percentage of osteoarthropathic imaging changes was significantly higher in the temperature plunge-sensitive group [82.0% (82/100)] than in the insensitive group [53.6% (74/138)] (χ²=20.675, P<0.001). Magnetic imaging showed that the percentage of joint effusion was higher in patients in the temperature plunge-sensitive group [66.0% (33/50)] than in the insensitive group [42.0% (29/69)], and the difference was statistically significant (χ²=5.602, P=0.018). CONCLUSIONS TMD patients with maxillofacial pain symptoms, joint effusions, and abnormal imaging of osteoarticular structures are more likely to be sensitive to sudden temperature drops.
Humans ; Male ; Female ; Adult ; Temporomandibular Joint Disorders/diagnosis* ; Surveys and Questionnaires ; Middle Aged ; Young Adult ; Temperature ; Adolescent

OBJECTIVES: This study aimed to investigate the correlation between clinical symptoms and unilateral chewing habits in patients with temporomandibular disorder (TMD) accompanied by tinnitus. METHODS: A total of 285 patients diagnosed with TMD at the Department of Stomatology of the First Medical Center of Chinese People's Liberation Army General Hospital between December 2020 and May 2024 were included and divided into two groups: tinnitus group and non-tinnitus group. Analysis was conducted on the proportion of patients with unilateral chewing habits in both groups, the correlation between the side of tinnitus and the side of unilateral chewing, and the correlation of tinnitus with TMD clinical symptoms (joint clicking, joint pain, and limited mouth opening) and unilateral chewing habits. The correlation of the type of disc displacement with unilateral chewing and tinnitus was also examined. RESULTS: In the tinnitus group, the proportions of patients with and without unilateral chewing habits were 90.70% (39/43) and 9.30% (4/43), respectively. In the non-tinnitus group, the proportions of patients with and without unilateral chewing habits were 76.03% (184/242) and 23.97% (58/242), respectively. The proportion of patients with unilateral chewing habits in the tinnitus group was significantly higher than in the non-tinnitus group (χ²=4.613, P<0.05). Correlation analysis showed a positive correlation between tinnitus and unilateral chewing habits (P<0.05). In the left-sided tinnitus group, the proportion of left-sided unilateral chewers [54.55% (12/22)] was higher than that of right-sided unilateral chewers [45.45% (10/22)]. In the right-sided tinnitus group, the proportion of right-sided unilateral chewers [81.82% (9/11)] was higher than that of left-sided unilateral chewers [18.18% (2/11)]. The difference was statistically significant (χ²=7.282, P<0.05). A positive correlation was also found between the side of tinnitus and the side of unilateral chewing habits (P<0.05). The proportion of patients with pain was significantly higher in the tinnitus group than in the non-tinnitus group (P<0.05). No significant difference in the proportion of joint clicking or limited mouth opening and disc displacement (no disc displacement, unilateral disc displacement, bilateral disc displacement, reducible disc displacement, or irreducible disc displacement) was found between the tinnitus and non-tinnitus groups (P>0.05). CONCLUSIONS TMD with unilateral chewing habits may be a contributing factor to unexplained tinnitus. Unexplained tinnitus is correlated with joint pain in patients with TMD.
Humans ; Tinnitus/physiopathology* ; Temporomandibular Joint Disorders/physiopathology* ; Mastication ; Male ; Adult ; Female ; Middle Aged ; Habits

Objective To analyze the diagnostic value of fat content measurement based on magnetic resonance multi-echo Dixon(ME-Dixon)technique combined with serological indicators for early liver fibrosis.Methods A total of 78 patients with early liver fibrosis who underwent liver biopsy at the First Affiliated Hospital of Army Medical University from August 2019 to October 2021 were included.According to the pathological results,the patients with early liver fibrosis were divided into the S0 group(n=21),the S1 group(n=32),and the S2 group(n=25).Meanwhile,the complete imaging examination results(including ME-Dixon sequence)and laboratory examination results[including hyaluronic acid(HA),procollagen Ⅲ(PCⅢ),collagen Ⅳ(CⅣ),laminin(LN),aspartate transaminase(AST),alanine amino-transferase(ALT),gamma-glutamyl transferase(GGT),alkaline phosphatase(ALP)]were collected.And the hepatic fat fraction(HFF)was measured by ME-Dixon technique.One-way ANOVA was used to analyze the differences in HFF and serological indicators among the three groups,and then factors with statistical differences in the univariate analysis were selected to draw receiver operating characteristic(ROC)curve,and the area under the curve(AUC)was calculated to evaluate their value in the diagnosis of liver fibrosis and the degree of early liver fibrosis.Results There was no statistically significant difference in the PCⅢ,LN,AST,or ALT among the S0,S1,and S2 groups(P>0.05),while there were statistically significant differences in the HFF,HA,CⅣ,GGT,and ALP(P<0.05),and the levels of HA,CⅣ,GGT,and ALP in the S2 group were significantly higher than those in the S0 and S1 groups(P<0.05).ROC curve analysis showed that the above indicators for diagnosing liver fibrosis and the degree of early liver fibrosis based on AUC values were in the following order:HFF+GGT(0.72)>HFF(0.68)>GGT(0.61)>CⅣ(0.54)>ALP(0.53)>HA(0.48)and HA+CⅣ(0.71)>CⅣ(0.68)>HA(0.66)>GGT(0.61)>ALP(0.59)>HFF(0.46).Conclusion The fat content measurement based on magnetic resonance ME-Dixon tech-nique combined with serological indicators has significant reference value for the diagnosis of early liver fibrosis,and it plays a certain guid-ing role in clinical diagnosis and treatment.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.