Objective To integrate multi-source heterogeneous literature data from China Na-tional Knowledge Infrastructure(CNKI),Wanfang,VIP,and Web of Science(WoS)databases u-sing bibliometric methods,and to comparatively analyze the differences in knowledge structure charac-teristics and evolutionary pathways of organoid research between China and foreign countries.Meth-ods CiteSpace software was employed to conduct a visual atlas analysis of the publication volume,countries,institutions,authors,and keywords of 1,118 Chinese literatures and 10,871 English lit-eratures.Results China ranked the second globally in terms of publication volume(accounting for 22.09％),but exhibited low centrality in international collaboration networks.The density of the do-mestic institutional collaboration network was 0.003,indicating a relatively loose structure,with Fudan University leading domestic output with 15 Chinese papers.Keyword emergence analysis revealed that"organ-on-a-chip"and"biomechanics"have emerged as new hotspots since 2024.Conclusion It is recommended to establish an interdisciplinary collaborative innovation alliance to focus on break-throughs in the translational directions of organ-on-a-chip and biomechanics,thereby addressing the imbalance between"scale and quality"in China's organoid research.

Abuse of amphetamine-based stimulants is a primary public health concern. Recent studies have underscored a troubling escalation in the inappropriate use of prescription amphetamine-based stimulants. However, the neurophysiological mechanisms underlying the impact of acute methamphetamine exposure (AME) on sleep homeostasis remain to be explored. This study employed non-human primates and electroencephalogram (EEG) sleep staging to evaluate the influence of AME on neural oscillations. The primary focus was on alterations in spindles, delta oscillations, and slow oscillations (SOs) and their interactions as conduits through which AME influences sleep stability. AME predominantly diminishes sleep-spindle waves in the non-rapid eye movement 2 (NREM2) stage, and impacts SOs and delta waves differentially. Furthermore, the competitive relationships between SO/delta waves nesting with sleep spindles were selectively strengthened by methamphetamine. Complexity analysis also revealed that the SO-nested spindles had lost their ability to maintain sleep depth and stability. In summary, this finding could be one of the intrinsic electrophysiological mechanisms by which AME disrupted sleep homeostasis.
Animals ; Methamphetamine ; Electroencephalography ; Male ; Sleep/drug effects* ; Central Nervous System Stimulants ; Delta Rhythm/drug effects* ; Sleep Stages/drug effects*

Objective:To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in China.Methods:From 2012 to 2015, a total of 34 994 residents aged ≥35 years were enrolled using a stratified multistage random sampling method across 31 provinces, autonomous regions, and municipalities in China. Data were collected through questionnaires, covering demographic characteristics, behavioral and lifestyle factors, and self-reported history of cardiometabolic diseases. CMM was defined as the coexistence of two or more cardiometabolic diseases in the same individual. Association rule analysis using the Apriori algorithm from the arules package was employed to identify strong CMM patterns. Multivariable logistic regression was employed to explore factors associated with CMM.Results:The mean age of the participants was 55.6 years. Among them, 15 926 were male (45.51%). The prevalence of cardiometabolic multimorbidity (CMM) was 11.25% (3 937/34 994). A total of 35 distinct CMM combinations (each with a frequency ≥10) were identified. The most prevalent dyad, triad, and tetrad comorbidity patterns were hypertension+hyperlipidemia (1 036 cases), hypertension+hyperlipidemia+diabetes (352 cases), and hypertension+stroke+hyperlipidemia+diabetes (54 cases), respectively. Nine strong CMM patterns were identified using the Apriori association rule algorithm. Multivariable logistic regression analysis showed that older age (≥70 years: OR=17.39,95% CI 13.92-21.71, P<0.01), junior high school education ( OR=1.31, 95% CI 1.17-1.48, P<0.01), senior high school or above education ( OR=1.45, 95% CI 1.27-1.65, P<0.01), retirement ( OR=3.09, 95% CI 2.76-3.46, P<0.01), unemployment or being laid-off ( OR=1.16, 95% CI 1.06-1.28, P<0.01), a family history of cardiometabolic disease ( OR=4.37, 95% CI 4.04-4.72, P<0.01), regular smoking ( OR=1.38, 95% CI 1.24-1.53, P<0.05), and occasional smoking ( OR=1.21, 95% CI 1.00-1.49, P<0.01) were significantly associated with an increased risk of CMM. Conclusion:The prevalence of cardiometabolic multimorbidity in China is relatively high, with the most common comorbidity patterns involving combinations of hypertension and hyperlipidemia, often accompanied by diabetes and stroke. Older age, retirement status, smoking, and a family history of cardiovascular disease are associated with an increased risk of both single and multiple cardiometabolic conditions. Greater attention should be paid to individuals with a single cardiometabolic disorder due to their elevated risk of developing multimorbidity.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

Objective To explore the effect of hypoxia-inducible factor-1α(HIF-1α)inhibitor LW6 on ferroptosis in septic cardiomyopathy rats.Methods Rat septic cardiomyopathy model was prepared using cecal ligation and puncture(CLP)method.Thirty-six specific pathogen-free(SPF)6-8 weeks male SD rats were randomly divided into the sham-operated group,CLP group,CLP+solvent group,LW6 group,ferrostatin-1(Fer-1)group,and LW6+Fer-1 group.The degree of myocardial damage in each group was evaluated through hematoxylin-eosin stai-ning and detection of lactate dehydrogenase and creatine kinase content in cardiac tissue.Myocardial mitochondrial damage was observed by transmission electron microscopy.Ferroptosis level was determined by detecting iron ion concentration,reduced glutathione,malondialdehyde,and reactive oxygen species.Protein expression levels of HIF-1α,solute carrier family 7 member 11(SLC7A11),and glutathione peroxidase 4(GPX4)in cardiac tissue were detected by Western blotting.Results Compared with the CLP group and the CLP+solvent group,the LW6 group could ameliorate myocardial damage,alleviate mitochondrial damage,inhibit ferroptosis-related indicators(all P＜0.05),reduce HIF-1α protein expression levels(P＜0.05),and enhance SLC7A11 and GPX4 protein expression levels(both P＜0.05).Conclusion LW6 decreases HIF-1α expression and ferroptosis levels through the SLC7A11/GPX4 pathway,and ameliorates sepsis-induced cardiomyopathy.

Objective To explore the effect of hypoxia-inducible factor-1α(HIF-1α)inhibitor LW6 on ferroptosis in septic cardiomyopathy rats.Methods Rat septic cardiomyopathy model was prepared using cecal ligation and puncture(CLP)method.Thirty-six specific pathogen-free(SPF)6-8 weeks male SD rats were randomly divided into the sham-operated group,CLP group,CLP+solvent group,LW6 group,ferrostatin-1(Fer-1)group,and LW6+Fer-1 group.The degree of myocardial damage in each group was evaluated through hematoxylin-eosin stai-ning and detection of lactate dehydrogenase and creatine kinase content in cardiac tissue.Myocardial mitochondrial damage was observed by transmission electron microscopy.Ferroptosis level was determined by detecting iron ion concentration,reduced glutathione,malondialdehyde,and reactive oxygen species.Protein expression levels of HIF-1α,solute carrier family 7 member 11(SLC7A11),and glutathione peroxidase 4(GPX4)in cardiac tissue were detected by Western blotting.Results Compared with the CLP group and the CLP+solvent group,the LW6 group could ameliorate myocardial damage,alleviate mitochondrial damage,inhibit ferroptosis-related indicators(all P＜0.05),reduce HIF-1α protein expression levels(P＜0.05),and enhance SLC7A11 and GPX4 protein expression levels(both P＜0.05).Conclusion LW6 decreases HIF-1α expression and ferroptosis levels through the SLC7A11/GPX4 pathway,and ameliorates sepsis-induced cardiomyopathy.

Objective:To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in China.Methods:From 2012 to 2015, a total of 34 994 residents aged ≥35 years were enrolled using a stratified multistage random sampling method across 31 provinces, autonomous regions, and municipalities in China. Data were collected through questionnaires, covering demographic characteristics, behavioral and lifestyle factors, and self-reported history of cardiometabolic diseases. CMM was defined as the coexistence of two or more cardiometabolic diseases in the same individual. Association rule analysis using the Apriori algorithm from the arules package was employed to identify strong CMM patterns. Multivariable logistic regression was employed to explore factors associated with CMM.Results:The mean age of the participants was 55.6 years. Among them, 15 926 were male (45.51%). The prevalence of cardiometabolic multimorbidity (CMM) was 11.25% (3 937/34 994). A total of 35 distinct CMM combinations (each with a frequency ≥10) were identified. The most prevalent dyad, triad, and tetrad comorbidity patterns were hypertension+hyperlipidemia (1 036 cases), hypertension+hyperlipidemia+diabetes (352 cases), and hypertension+stroke+hyperlipidemia+diabetes (54 cases), respectively. Nine strong CMM patterns were identified using the Apriori association rule algorithm. Multivariable logistic regression analysis showed that older age (≥70 years: OR=17.39,95% CI 13.92-21.71, P<0.01), junior high school education ( OR=1.31, 95% CI 1.17-1.48, P<0.01), senior high school or above education ( OR=1.45, 95% CI 1.27-1.65, P<0.01), retirement ( OR=3.09, 95% CI 2.76-3.46, P<0.01), unemployment or being laid-off ( OR=1.16, 95% CI 1.06-1.28, P<0.01), a family history of cardiometabolic disease ( OR=4.37, 95% CI 4.04-4.72, P<0.01), regular smoking ( OR=1.38, 95% CI 1.24-1.53, P<0.05), and occasional smoking ( OR=1.21, 95% CI 1.00-1.49, P<0.01) were significantly associated with an increased risk of CMM. Conclusion:The prevalence of cardiometabolic multimorbidity in China is relatively high, with the most common comorbidity patterns involving combinations of hypertension and hyperlipidemia, often accompanied by diabetes and stroke. Older age, retirement status, smoking, and a family history of cardiovascular disease are associated with an increased risk of both single and multiple cardiometabolic conditions. Greater attention should be paid to individuals with a single cardiometabolic disorder due to their elevated risk of developing multimorbidity.

Objectives:To investigate the association between social determinants of health(SDOH)and incident stroke and analyze the main risk factors for stroke among resident with different SDOH levels. Methods:From 2012 to 2015,30 036 residents(≥35 years old)from 30 districts in 14 provincial-level administrative divisions in China were enrolled this study based on stratified multi-stage-random-sampling method.The prevalence of cardiovascular diseases and related risk factors were investigated,and stroke events were followed up in 2018 to 2019.Principal component analysis was performed to establish SDOH scores based on 9 indicators related to socioeconomic and healthcare resources,participants were divided into low SDOH group(n=8 343)when it was≥-2.01 to<-1.14,middle SDOH group(n=7 257)when it was≥-1.14 to<0.10,and high SDOH group(n=8 457)when it was≥0.10 to≤5.79.Multivariate Cox regression was applied to estimate the association of SDOH levels with incident stroke.The random survival forest method was used to analyze the major risk factors in different SDOH levels. Results:A total of 24 057 participants were finally included,669(2.8%)participants developed stroke during a mean of(4.7±0.8)years follow-up.The incidence densities of stroke in the low,medium,and high SDOH groups were 468.39,628.85,and 700.39/100 000 person-years,respectively(Pdifference<0.05,Ptrend=0.01).Compared with individuals with low SDOH level group,fully HR for incident stroke among those with medium and high were 1.91(95%CI:1.54-2.36)and 1.59(95%CI:1.30-1.95),respectively(Ptrend<0.001).Advanced age is the primary risk factor for stroke in the population,especially in districts with high SDOH level.In districts with medium SDOH level,diabetes is an important risk factor for stroke.High blood pressure and alcohol consumption are important modifiable risk factors in low SDOH level districts. Conclusions:Present study shows that higher levels of SDOH are associated with increased risk of stroke.The main risk factors for stroke differ among participants with different SDOH level districts.Targeted interventions should be implemented to improve the prevention and treatment of stroke in populations with different levels of SDOH.

Objective:To investigate the alteration of glymphatic system based on diffusion tensor image-analysis along the perivascular space(DTI-ALPS)in bipolar disorder Ⅰ(BD-Ⅰ).Methods:A total of 44 BD-Ⅰ patients(BD-Ⅰ group) admitted to the Affiliated Brain Hospital of Guangzhou Medical University from January 2012 to December 2017 were selected.In addition, totally 30 healthy controls (HC group) were recruited. The diffusion tensor image data were analyzed retrospectively, and along the perivascular space (ALPS) index was calculated. Hamilton anxiety scale (HAMA), 17-item Hamilton depression rating scale (HAMD-17), Young mania rating scale (YMRS) and global assessment function (GAF) were used to evaluate the severity of anxiety, depression, mania and social function respectively. SPSS 25.0 software was used for t-test, Z-test and chi-square test, and the differences in clinical data and DTI-ALPS index between the two groups were compared. The partial correlation test was used to analyze the correlations between DTI-ALPS index and the clinical indicators such as HAMA, HAMD-17, YMRS and GAF. Results:The DTI-ALPS indexes in left(1.69±0.17), right(1.44±0.15) and bilateral cerebral hemispheres(1.56±0.15) of BD-Ⅰ group were lower than those in HC group ((1.71±0.15), (1.46±0.13) and (1.58±0.12)), but the differences were not statistically significant ( t=-0.441, -0.545, -0.556, all P>0.05). After controlling for gender, age, years of education and course of disease, there were significant negative correlations between bilateral average DTI-ALPS index and somatic anxiety ( r=-0.334, P=0.038), as well as between right DTI-ALPS index and somatic anxiety( r=-0.349, P=0.030) in BD-Ⅰ group. Conclusion:The dysfunction of cerebral glymphatic system is not obvious in BD-Ⅰ patients, but their anxiety may be related to dysfunction cerebral glymphatic system.