Abstract To understand the relationship between cardiovascular disease (CVD) and adverse childhood experiences (ACEs), the present review aims to describe the burden and influencing factors of CVD, epidemiological characteristics and burden of ACEs, current research on the relationship between ACEs and CVD, and the mechanism of ACEs leading to CVD. It is proposed that further assessment of the relationship is warranted through identifying blood biomarkers, conducting prospective cohort studies and intervention studies. Such efforts would provide valuable scientific insights for primary prevention strategies for cardiovascular disease.

Objective To compare the intestinal injury induced by different intensities of waveshock in rats exposed to extremely cold environment and to preliminarily explore the characteristics of the injury.Methods Sixty healthy male SD rats(2 months old,weighing 200～250 g)were randomly divided into 6 groups(n=10):blank control group,low-temperature control group,5.0 MPa shock control group,and low-temperature+4.0,4.5 and 5.0 MPa shock groups.The rats in the experimental groups were pre-treated in a-10℃low-temperature environment for 30 min and then subjected to intestinal injury by using BST-I biological shock tube with different driving pressures.At 3,8,and 24 h after injury,the serum levels of IL-6,TNF-α,intestinal fatty acid binding protein(I-FABP),and diamine oxidase(DAO)were detected,and the survival of rats within 24 h was recorded.At 24 h after injury,the rats were anesthetized and dissected,the characteristics of intestinal injury were observed,and pathological examination was performed.The differences of intestinal injury were compared among the 6 groups to explore the characteristics of intestinal injuries after different intensities of shockwave in rats after exposure to extremely cold environment.Results Compared with the blank control group,the other 5 groups exhibited different severities of intestinal injury,and the rats in the low-temperature+different shock groups were more prone to intestinal edema and trauma.The mortality rate was significantly increased in the low-temperature+5.0 MPa shock group(P<0.05).Pathological and serological studies found that dual effects of very cold environment and blast injury resulted in intestinal mucosal hemorrhage,edema,and disintegration of lamina propria in the experimental rats.The indicators of intestinal mucosal injury and intestinal inflammatory factors were also significantly increased when compared with the blank control group,and significant differences were among the groups with increment of shock intensity(P<0.05).Conclusion Exposure to very cold environment combined with abdominal blast injury increases mortality rate in rats,manifested by elevated serological indicators and intestinal inflammatory factors,as well as varying severities of intestinal wall edema and submucosal bleeding.Furthermore,the severity of the injury is positively related to the impact intensity,with worsened as the impact intensity increasing.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:To explore the value of deep learning models based on ultrafast dynamic contrast-enhanced MRI (UF-DCE MRI) in predicting malignant breast lesions.Methods:The study was a cross-sectional study. Clinical and imaging data of 347 patients with breast lesions who received treatment at Tianjin Medical University Cancer Institute and Hospital from March 2023 to January 2024 were analyzed retrospectively. A total of 347 lesions were observed in the 347 patients, including 75 benign and 272 malignant lesions. The random number method was used to divide into the training set with 243 cases and the validation set with 104 cases in a ratio of 7∶3. All patients underwent breast UF-DCE MRI and conventional dynamic-enhanced MRI (DCE-MRI). A 27-channel model (27-phase enhancement images of input UF-DCE MRI), a 3-channel model (3-phase enhancement images of input DCE-MRI), and a 1-channel model (1st-phase enhancement images of DCE-MRI) were built based on the pre-trained ResNet18 deep learning model on ImageNet. The efficacy of each model in predicting breast malignant lesions was analyzed using receiver operating characteristic curves and area under the curve (AUC). The differences of AUC were compared using DeLong test.Results:In the training and validation sets, the 27-channel model had the highest AUC for diagnosing malignant breast lesions, which were 0.848 (95% CI 0.818-0.877) and 0.784 (95% CI 0.752-0.817), respectively. DeLong test showed no statistically significant difference in the AUC values of the three models in the validation set for the diagnosis of malignant lesions of the breast in a two-by-two comparison ( P>0.05). UF-DCE MRI scans were 27 phases totaling 81 s with a temporal resolution of 3 s/phase; DCE-MRI scans were 3 phases totaling 270 s with a temporal resolution of 90 s/phase. Conclusions:The model combining UF-DCE MRI with deep learning demonstrates comparable efficacy to DCE-MRI deep learning model in diagnosing breast malignant lesions. However the UF-DCE MRI has the advantages of high temporal resolution and short scanning time, which makes this model valuable for precise diagnosis and treatment of breast cancer.

Objective:To analyze the transition patterns of anal sex and unprotected anal intercourse (UAI), estimate the transition intensity and probability, and identify factors influencing the transition patterns in men who have sex with men (MSM) in Shandong Province.Methods:In August 2019, MSM aged ≥18 years old were recruited as subjects from 11 cities in Shandong Province. The baseline survey were completed in December 2019, and followup surveys were conducted once every 3 mouths from June 2020 to March 2021. Time-continuous, state-discrete multi-state reversible Markov model was constructed based on the status of MSM's sexual behaviors with different types of sexual partners [anal sex occurred or not (S1=No, S2=Yes) and UAI occurred or not (S1=No,S2=Yes)] to analyze the transition patterns and the influencing factors.Results:A total of 735 MSM were included. The transition intensity of starting anal sex with stable and casual partners was 1.935 times and 0.595 times higher than that of discontinuing this behavior, respectively. While the transition intensity to start UAI with stable and casual partners was 0.430 times and 0.169 times higher than that of discontinuing it, respectively. During the follow-up, the transition probabilities of anal sex and UAI with both stable and casual partners increased first and then stabilized. For stable partners, the transition probability of starting anal sex was higher than that of discontinuing it at the same period, for casual partners, it was just the reverse. For both stable and casual partners, the transition probabilities of discontinuing UAI were higher than starting it at the same time. The results of multivariate analysis showed that participants who received intervention materials ( HR=1.47), had an associate degree ( HR=1.77) or a bachelor's degree and above ( HR=1.47) were at higher risk of starting anal sex with stable partners. Those who received intervention materials ( HR=1.39) were at higher risk of discontinuing anal sex with stable partners, while participants identified themselves as non-male gender ( HR=0.49) were at lower risk of discontinuing anal sex with stable partners. Participants received intervention materials ( HR=1.75) were at higher risk of starting UAI with stable partners. Those who lived apart, divorced, or widowed ( HR=3.22) were at higher risk of starting UAI with casual partners, whereas had a bachelor's degree and above ( HR=0.58) were at lower risk of starting UAI with casual partners. Participants identified themselves as non-male gender ( HR=0.45) at lower risk of discounting UAI with casual partners. Conclusions:The transition patterns of homosexual behavior in MSM are different. Marital status, gender identity, educational level and other factors are the influencing factors of sexual behavior status transitions. Future researches should develop targeted interventions for different types of sexual partners and characteristics of MSM.

AIM:To investigate the role of S100 calcium-binding protein A8(S100A8)in a canine model of atrial fibrillation(AF)induced by obstructive sleep apnea(OSA).METHODS:Ten adult Beagle dogs were randomly as-signed to OSA(n=5)and control(n=5)groups.The OSA model was established by daily tracheal intubation with alternat-ing airway obstruction and ventilation recovery for 4 h per day,sustained over 12 weeks.Model validation was conducted through arterial blood gas analysis,airway pressure monitoring,and esophageal pressure measurements.Open-chest elec-trophysiological studies were performed to assess atrial effective refractory period(ERP),dispersion of ERP(dERP),and AF inducibility.Tandem mass tag-based quantitative proteomics was used to identify differentially expressed proteins in atrial tissue.Key protein expression and localization were verified using immunohistochemistry and immunofluorescence.RESULTS:Compared with the control group,the OSA group exhibited significantly lower arterial blood pH and partial pressure of oxygen,and higher partial pressure of carbon dioxide in arterial blood,confirming successful model establish-ment.Histopathological analysis revealed disorganized cardiomyocyte architecture,fatty degeneration,inflammatory cell infiltration,and a significant increase in myocardial fibrosis in the OSA group(P<0.05).Electrophysiological data showed increased AF inducibility and dERP,and decreased ERP(P<0.05).Proteomic analysis identified 267 differen-tially expressed proteins,including 128 up-regulated and 139 down-regulated proteins.Immunohistochemical analysis showed significant upregulation of S100A8,S100A9,myeloperoxidase,and nuclear factor-κB p65(P<0.05),while im-munofluorescence demonstrated increased expression of matrix metalloproteinase-9 and transforming growth factor-β1 in the OSA group(P<0.01).CONCLUSION:The OSA promotes upregulation of S100A8 in myocardial tissue,enhances atrial electrical remodeling and fibrosis,and increases susceptibility to AF.These findings suggest that S100A8 may play a key role in the pathogenesis and progression of OSA-related AF.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:To analyze the transition patterns of anal sex and unprotected anal intercourse (UAI), estimate the transition intensity and probability, and identify factors influencing the transition patterns in men who have sex with men (MSM) in Shandong Province.Methods:In August 2019, MSM aged ≥18 years old were recruited as subjects from 11 cities in Shandong Province. The baseline survey were completed in December 2019, and followup surveys were conducted once every 3 mouths from June 2020 to March 2021. Time-continuous, state-discrete multi-state reversible Markov model was constructed based on the status of MSM's sexual behaviors with different types of sexual partners [anal sex occurred or not (S1=No, S2=Yes) and UAI occurred or not (S1=No,S2=Yes)] to analyze the transition patterns and the influencing factors.Results:A total of 735 MSM were included. The transition intensity of starting anal sex with stable and casual partners was 1.935 times and 0.595 times higher than that of discontinuing this behavior, respectively. While the transition intensity to start UAI with stable and casual partners was 0.430 times and 0.169 times higher than that of discontinuing it, respectively. During the follow-up, the transition probabilities of anal sex and UAI with both stable and casual partners increased first and then stabilized. For stable partners, the transition probability of starting anal sex was higher than that of discontinuing it at the same period, for casual partners, it was just the reverse. For both stable and casual partners, the transition probabilities of discontinuing UAI were higher than starting it at the same time. The results of multivariate analysis showed that participants who received intervention materials ( HR=1.47), had an associate degree ( HR=1.77) or a bachelor's degree and above ( HR=1.47) were at higher risk of starting anal sex with stable partners. Those who received intervention materials ( HR=1.39) were at higher risk of discontinuing anal sex with stable partners, while participants identified themselves as non-male gender ( HR=0.49) were at lower risk of discontinuing anal sex with stable partners. Participants received intervention materials ( HR=1.75) were at higher risk of starting UAI with stable partners. Those who lived apart, divorced, or widowed ( HR=3.22) were at higher risk of starting UAI with casual partners, whereas had a bachelor's degree and above ( HR=0.58) were at lower risk of starting UAI with casual partners. Participants identified themselves as non-male gender ( HR=0.45) at lower risk of discounting UAI with casual partners. Conclusions:The transition patterns of homosexual behavior in MSM are different. Marital status, gender identity, educational level and other factors are the influencing factors of sexual behavior status transitions. Future researches should develop targeted interventions for different types of sexual partners and characteristics of MSM.

AIM:To investigate the role of S100 calcium-binding protein A8(S100A8)in a canine model of atrial fibrillation(AF)induced by obstructive sleep apnea(OSA).METHODS:Ten adult Beagle dogs were randomly as-signed to OSA(n=5)and control(n=5)groups.The OSA model was established by daily tracheal intubation with alternat-ing airway obstruction and ventilation recovery for 4 h per day,sustained over 12 weeks.Model validation was conducted through arterial blood gas analysis,airway pressure monitoring,and esophageal pressure measurements.Open-chest elec-trophysiological studies were performed to assess atrial effective refractory period(ERP),dispersion of ERP(dERP),and AF inducibility.Tandem mass tag-based quantitative proteomics was used to identify differentially expressed proteins in atrial tissue.Key protein expression and localization were verified using immunohistochemistry and immunofluorescence.RESULTS:Compared with the control group,the OSA group exhibited significantly lower arterial blood pH and partial pressure of oxygen,and higher partial pressure of carbon dioxide in arterial blood,confirming successful model establish-ment.Histopathological analysis revealed disorganized cardiomyocyte architecture,fatty degeneration,inflammatory cell infiltration,and a significant increase in myocardial fibrosis in the OSA group(P<0.05).Electrophysiological data showed increased AF inducibility and dERP,and decreased ERP(P<0.05).Proteomic analysis identified 267 differen-tially expressed proteins,including 128 up-regulated and 139 down-regulated proteins.Immunohistochemical analysis showed significant upregulation of S100A8,S100A9,myeloperoxidase,and nuclear factor-κB p65(P<0.05),while im-munofluorescence demonstrated increased expression of matrix metalloproteinase-9 and transforming growth factor-β1 in the OSA group(P<0.01).CONCLUSION:The OSA promotes upregulation of S100A8 in myocardial tissue,enhances atrial electrical remodeling and fibrosis,and increases susceptibility to AF.These findings suggest that S100A8 may play a key role in the pathogenesis and progression of OSA-related AF.

Objective:To explore the value of deep learning models based on ultrafast dynamic contrast-enhanced MRI (UF-DCE MRI) in predicting malignant breast lesions.Methods:The study was a cross-sectional study. Clinical and imaging data of 347 patients with breast lesions who received treatment at Tianjin Medical University Cancer Institute and Hospital from March 2023 to January 2024 were analyzed retrospectively. A total of 347 lesions were observed in the 347 patients, including 75 benign and 272 malignant lesions. The random number method was used to divide into the training set with 243 cases and the validation set with 104 cases in a ratio of 7∶3. All patients underwent breast UF-DCE MRI and conventional dynamic-enhanced MRI (DCE-MRI). A 27-channel model (27-phase enhancement images of input UF-DCE MRI), a 3-channel model (3-phase enhancement images of input DCE-MRI), and a 1-channel model (1st-phase enhancement images of DCE-MRI) were built based on the pre-trained ResNet18 deep learning model on ImageNet. The efficacy of each model in predicting breast malignant lesions was analyzed using receiver operating characteristic curves and area under the curve (AUC). The differences of AUC were compared using DeLong test.Results:In the training and validation sets, the 27-channel model had the highest AUC for diagnosing malignant breast lesions, which were 0.848 (95% CI 0.818-0.877) and 0.784 (95% CI 0.752-0.817), respectively. DeLong test showed no statistically significant difference in the AUC values of the three models in the validation set for the diagnosis of malignant lesions of the breast in a two-by-two comparison ( P>0.05). UF-DCE MRI scans were 27 phases totaling 81 s with a temporal resolution of 3 s/phase; DCE-MRI scans were 3 phases totaling 270 s with a temporal resolution of 90 s/phase. Conclusions:The model combining UF-DCE MRI with deep learning demonstrates comparable efficacy to DCE-MRI deep learning model in diagnosing breast malignant lesions. However the UF-DCE MRI has the advantages of high temporal resolution and short scanning time, which makes this model valuable for precise diagnosis and treatment of breast cancer.