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 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.

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 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.

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.

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.

MiRNAs are a class of small non-coding RNAs,which regulate gene expression post-transcriptionally by partial complementary base pairing.Aberrant miRNA expressions have been reported in tumor tissues and peripheral blood of cancer patients.In recent years,artificial intelligence algorithms such as machine learning and deep learning have been widely used in bioinformatic research.Compared to traditional bioinformatic tools,miRNA target prediction tools based on artificial intelligence algorithms have higher accuracy,and can successfully predict subcellular localization and redistribution of miRNAs to deepen our understanding.Additionally,the construction of clinical models based on artificial intelligence algorithms could significantly improve the mining efficiency of miRNA used as biomarkers.In this article,we summarize recent development of bioinformatic miRNA tools based on artificial intelligence algorithms,focusing on the potential of machine learning and deep learning in cancer-related miRNA research.

ObjectiveTo investigate the regulatory effect of Danggui Shaoyaosan on adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR）/Unc-51-like kinase-1 （ULK1） signaling pathway in the rat model of metabolism-associated fatty liver disease （MAFLD）. MethodSixty SD rats were randomized into control， model， western medicine （polyene phosphatidylcholine capsules，0.144 g·kg^-1）， and low-， medium-， and high-dose （2.44， 4.88， 9.76 g·kg^-1， respectively） Danggui Shaoyaosan groups. After being fed with a high-fat diet for 8 weeks， the rats in each group were administrated with corresponding drugs for 4 weeks. At the end of drug treatment， serum and liver tissue were collected for subsequent determination of related indicators. ResultCompared with the control group， the model group showed increased contents of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C） and activities of alanine aminotransferase （ALT） and aspartate aminotransferase （AST） in the serum， increased contents of TC， TG， and free fatty acids （FFAs） in the liver （P<0.01）， and decreased content of high-density lipoprotein cholesterol （HDL-C） in the serum （P<0.01）. Furthermore， the model group showed down-regulated protein levels of p-AMPK， microtubule-associated protein 1 light chain 3B （LC3B） Ⅱ， Beclin1， and ULK1 （P<0.01） and up-regulated protein levels of p-mTOR and ubiquitin-binding protein p62 in the liver （P<0.01）. The hepatic steatosis was obvious and the NAFLD activity score （NAS） and oil red O staining area increased in the model group， （P<0.05， P<0.01）. Compared with the model group， Danggui Shaoyaosan reduced the contents of TC and TG and the activities of ALT and AST in the serum， lowered the levels of TC， TG， and FFA in the liver， down-regulated the protein levels of p-mTOR and p62 （P<0.01）， elevated the serum HDL-C level， and up-regulated the protein levels of p-AMPK， LCBⅡ， Beclin1， and ULK1 in the liver （P<0.05， P<0.01）. Moreover， it alleviated hepatic steatosis and decreased the NAS and oil red O staining area （P<0.05， P<0.01）. ConclusionDanggui Shaoyaosan has therapeutic effect on MAFLD rats by regulating AMPK/mTOR/ULK1 signaling pathway to enhance autophagy.