Hepatic stellate cells (HSCs) are the primary fibrogenic cells in the liver, and their activation plays a crucial role in the development and progression of hepatic fibrosis. Here, we report that retinoid X receptor-alpha (RXRα), a unique member of the nuclear receptor superfamily, is a key modulator of HSC activation and liver fibrosis. RXRα exerts its effects by modulating calcium/calmodulin-dependent protein kinase kinase β (CaMKKβ)-mediated activation of AMP-activated protein kinase-alpha (AMPKα). In addition, we demonstrate that K-80003, which binds RXRα by a unique mechanism, effectively suppresses HSC activation, proliferation, and migration, thereby inhibiting liver fibrosis in the CCl₄ and amylin liver NASH (AMLN) diet animal models. The effect is mediated by AMPKα activation, promoting mitophagy in HSCs. Mechanistically, K-80003 activates AMPKα by inducing RXRα to form condensates with CaMKKβ and AMPKα via a two-phase process. The formation of RXRα condensates is driven by its N-terminal intrinsic disorder region and requires phosphorylation by CaMKKβ. Our results reveal a crucial role of RXRα in liver fibrosis regulation through modulating mitochondrial activities in HSCs. Furthermore, they suggest that K-80003 and related RXRα modulators hold promise as therapeutic agents for fibrosis-related diseases.

Neuropathic pain is a chronic condition caused by damage or dysfunction in the nervous system. While the spleen may influence neuropathic pain, its role has been poorly understood. This study demonstrates that the spleen plays a crucial role in regulating neuropathic pain through the bed nucleus of the stria terminalis (BNST) - paraventricular nucleus of the hypothalamus (PVN) neural circuit in a chronic constriction injury (CCI) mouse model. Splenectomy, splenic denervation, or splenic sympathectomy significantly increased the mechanical withdrawal threshold (MWT) and reduced macrophage infiltration in the dorsal root ganglia (DRG) of CCI mice. Pseudorabies virus injections into the spleen revealed connections to the BNST and PVN in the brain. Chemogenetic inhibition of the BNST-PVN circuit increased macrophage infiltration in the DRG and decreased the MWT; these effects were reversed by splenectomy, splenic denervation, or sympathectomy. These findings underscore the critical role of the spleen, regulated by the BNST-PVN circuit, in neuropathic pain.
Animals ; Neuralgia/pathology* ; Septal Nuclei/physiopathology* ; Male ; Spleen/physiopathology* ; Paraventricular Hypothalamic Nucleus/physiopathology* ; Mice, Inbred C57BL ; Splenectomy ; Mice ; Neural Pathways/physiopathology* ; Disease Models, Animal ; Ganglia, Spinal/physiopathology* ; Sympathectomy ; Macrophages

Objective To develop a deep learning method for small sample multi-omics data using attention mechanism and Meta-learning for the establishment of autism diagnosis model.Methods MLAN(Meta-learning based attentive network)consisting of the omics feature pre-reduction module,the multi-omics data fusion and feature learning module,and the parameter optimization module was designed.Firstly,differential expression analysis was performed on high-dimensional multi-omics data to preliminarily screen out unimportant features.Secondly,a multi-channel attention mechanism was used to learn the importances of every set of omics data and to realize data fusion,and a two-layer fully connected network was constructed to further extract latent features and realize the diagnosis task.Finally,the Meta-learning algorithm Reptile was used to optimize the initial parameters of the above model to obtain the optimal parameters.A total of 58 children's saliva samples were collected,including 21 children diagnosed with autism,12 children with social disorders,and 25 healthy controls,and the protein and metabolomics data were detected by mass spectrometry.All data were randomly divided into training set and test set by 4∶1,and the training set was divided into training data and validation data in the same way for model training and validation.The test set was used for the final evaluation of the model effect.Five baseline models and three ablated models were constructed and evaluated along with MLAN based on metrics including multi-classification accuracy,F1-macro and F1-weighted scores.Results The constructed multi-classification autism diagnosis model MLAN achieved multi-classification accuracy,F1-macro and F1-weighted scores of 0.850±0.066,0.817±0.103 and 0.834±0.087.The values of all three indicators were better than those of baseline models and the ablated models.Conclusion The proposed MLAN can effectively deal with heterogeneous multi-omics data with small samples and achieve good results,which is expected to provide assistance for the clinical diagnosis of autism.

Objective To develop a deep learning method for small sample multi-omics data using attention mechanism and Meta-learning for the establishment of autism diagnosis model.Methods MLAN(Meta-learning based attentive network)consisting of the omics feature pre-reduction module,the multi-omics data fusion and feature learning module,and the parameter optimization module was designed.Firstly,differential expression analysis was performed on high-dimensional multi-omics data to preliminarily screen out unimportant features.Secondly,a multi-channel attention mechanism was used to learn the importances of every set of omics data and to realize data fusion,and a two-layer fully connected network was constructed to further extract latent features and realize the diagnosis task.Finally,the Meta-learning algorithm Reptile was used to optimize the initial parameters of the above model to obtain the optimal parameters.A total of 58 children's saliva samples were collected,including 21 children diagnosed with autism,12 children with social disorders,and 25 healthy controls,and the protein and metabolomics data were detected by mass spectrometry.All data were randomly divided into training set and test set by 4∶1,and the training set was divided into training data and validation data in the same way for model training and validation.The test set was used for the final evaluation of the model effect.Five baseline models and three ablated models were constructed and evaluated along with MLAN based on metrics including multi-classification accuracy,F1-macro and F1-weighted scores.Results The constructed multi-classification autism diagnosis model MLAN achieved multi-classification accuracy,F1-macro and F1-weighted scores of 0.850±0.066,0.817±0.103 and 0.834±0.087.The values of all three indicators were better than those of baseline models and the ablated models.Conclusion The proposed MLAN can effectively deal with heterogeneous multi-omics data with small samples and achieve good results,which is expected to provide assistance for the clinical diagnosis of autism.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective:To analyze the construction of human resources in specialized public health institutions in China,with a view to providing reference for strengthening the construction of human resources in public health in China.Methods:Based on the data of China Health and Wellness Statistical Yearbook,descriptive statistical analysis,Gini coefficient and health resource agglomeration were used to analyze the quantity and quality of human resources in specialized public health institutions and the equity of human resource allocation in different regions of China from 2012 to 2021.Results:From 2012 to 2021,the average annual growth rate of the number of specialized public health institution personnel nationwide was 4.10%,and the average annual growth rate of the number of specialized public health institution personnel per 1 000 population was 3.71%.In 2021,the Gini coefficient of human resources in China's specialized public health institutions allocated by population was 0.1002,and the Gini coefficient of the allocation of human resources according to the geographic area was 0.6706,and 21 provinces'health resource agglomeration value were greater than 1.Conclusion:the total amount of human resources in China's specialized public health institutions has steadily increased during the decade,and the quality has been greatly improved,but there is still a gap with the expected development goal;the development of human resources in different specialized public health institutions is not balanced;demographic fairness is better than geographic fairness in the allocation of human resources in public health,and there are significant inter-provincial differences.

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

Objective:To investigate the tau deposition pattern in Alzheimer′s disease (AD) and its correlation with cognition by 18F-MK6240 PET imaging. Methods:From August 2021 to February 2022, 46 elderly people over 55 years old (16 males, 30 females; age (68.9±7.7) years) were included from outpatient and community in Shanghai. Structural brain MRI, β-amyloid (Aβ) PET imaging, tau-PET imaging and comprehensive neuropsychological tests batteries were conducted. The subjects were divided into AD group ( n=16) and normal cognition (NC) group ( n=30) according to the 2018 National Institute on aging and Alzheimer′s Association (NIA-AA) diagnostic criteria. Quantitative analysis was conducted to investigate the tau deposition pattern in AD after preprocessing 18F-MK6240 PET images with MRI images. SUV ratio (SUVR) of brain regions such as entorhinal cortex, hippocampus, parahippocampal gyrus, amygdala, insular lobe, frontal lobe, precuneus, occipital lobe, thalamus and putamen were analyzed, with cerebellum as reference region. The differences of tau deposition in brain regions between AD and NC groups were analyzed by independent-sample t test. The associations between SUVR and Mini-Mental State Examination (MMSE) score and Montreal Cognitive Assessment-Basic (MoCA-B) score were analyzed by Pearson correlation analysis. Results:AD displayed a significant tau deposition in frontal lobes, temporal lobes and parietal lobes compared with NC. SUVR of brain regions in AD group were higher than those in NC group ( t values: 3.37-9.61, all P<0.05). SUVR in brain regions were negatively correlated with MMSE score ( r values: from -0.735 to -0.350, all P<0.05) and MoCA-B score ( r values: from -0.723 to -0.367, all P<0.05). Conclusion:18F-MK6240 PET can demonstrate the tau deposition in the brain of AD patients, and the tau deposition is related to cognitive function.

Objective: To explore the knowledge, attitude and behavior of salt reduction in adults of Beijing in 2017. Methods: Based on the monitoring data of chronic diseases and corresponding risk factors in adults of Beijing in 2017, the indicators of salt reduction knowledge, attitude and behavior of 13 240 participants aged 18-79 years old were analyzed. The awareness rate, attitude support rate and behavior rate were calculated by complex weighting method, and compared among different age groups, genders, residential areas, and history of hypertension. The proportion of people taking various salt reduction measures to the total number of people was compared. Results: The awareness rate of recommended daily salt intake, the awareness of hypertension caused or aggravated by more salt intake, the attitude support rate and behavior rate of adults were 31.77%, 88.56%, 90.27% and 53.86%, respectively. After weighted adjustment, the awareness rate of recommended daily salt intake was 31.08%, which increased with age (χ²_trend=431.56, P<0.001) and education level (χ²_trend=95.44, P<0.001). The awareness rate of women was higher than that of men (χ²=118.89, P<0.001), and the awareness rate of population in urban areas was higher than that of population in suburban areas (χ²=34.09, P=0.001). The awareness rate of hypertension caused or aggravated by eating more salt was 86.73%. The support rate of salt reduction attitude was 90.45%. The rate of salt-reducing behavior was 54.05%. Among different salt reduction measures, reducing salt when cooking was the most common measure (52.41%), while the least common one (35.22%) was using low sodium salt. Logistic regression model analysis showed that the gender, age, education level, self-reported history of hypertension, awareness of salt recommendation, awareness of hypertension caused or aggravated by eating more salt, and salt reduction attitude were significantly associated with salt reduction behavior. Conclusion: In 2017, adults in Beijing have a basic understanding of the impact of high-salt diet on health and support salt reduction, but the rate of salt reduction behavior is still relatively low. There are obvious gender and age differences, and the salt reduction measure is simple. Targeted measures should be taken to promote the formation of salt reduction behavior.
Adolescent ; Adult ; Aged ; Beijing ; Diet, Sodium-Restricted ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Hypertension/prevention & control* ; Male ; Middle Aged ; Recommended Dietary Allowances ; Sodium Chloride, Dietary ; Young Adult

Objective: To understand the current status of taking nutrient supplements for residents aged 18 to 79 years old in Beijing and its related factors. Methods: Data were gathered from the 2017 Beijing Non-communicable and Chronic Disease Surveillance Program. Multiple classified cluster sampling method was used, and participants aged 18-79 were sampled from 16 districts. The questionnaire included chronic diseases and related risk factors, health knowledge, and oral nutritional supplements within 12 months. Multivariate logistic regression models were established to analyze associated factors that affect the intake of nutrient supplements. Results: The weighted prevalence of supplements use was 13.1% among 12 696 subjects within the past 12 months. The proportions of multivitamins (4.7%), B vitamins (4.5%), and folic acid (3.2%) were higher. The prevalence of supplement use of young people (18-39 years old) and the elderly (60-79 years old) was higher than middle-aged people (40-59 years old) (χ²=54.09, P<0.001). Except for the age group of 70-79 years old, the consumption rate of women was significantly higher than that of men (P<0.05). After adjusting age and sex, among patients with hypertension, diabetes, or dyslipidemia, the control rates of blood pressure, glucose and lipids of patients who take nutrient supplements were higher than those who do not (P<0.05). And participants who took nutrient supplements had a more heightened awareness rate of health knowledge, such as the hazards of smoking and second-hand smoke, and recommended amount of salt per day (P<0.001). The multi-factor logistic analysis found that nutrient supplement-related factors include women, old age, higher education level, living in urban, insufficient physical activity, sleeping problems, active physical examination, blood pressure control among patients, and health knowledge (P<0.05). Conclusions: The factors of nutrient supplements use were related to sex, age, education level, health status, and health literacy. We should pay attention to key populations and guide them to establish the correct concept of taking nutrient supplements.
Adolescent ; Adult ; Aged ; Beijing/epidemiology* ; Dietary Supplements ; Female ; Folic Acid ; Humans ; Male ; Middle Aged ; Smoking/adverse effects* ; Vitamin B Complex ; Young Adult