The relationship between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and hyperuricaemia.

PURPOSE: The ratio of non-high-density lipoprotein cholesterol (non-HDL-c) to high-density lipoprotein cholesterol (HDL-c) (NHHR) is a novel comprehensive lipid index. The aim of this study was to investigate the relationship between the NHHR and the prevalence of hyperuricaemia (HUA) in the adult population of the U.S. METHODS: This cross-sectional study collected data from the National Health and Nutrition Examination Survey (NHANES) (2007-2018). HUA was defined as a serum uric acid (SUA) concentration ≥ 7 mg/dL in men and ≥ 6 mg/dL in women. Multivariate logistic regression models and the restricted cubic spline (RCS) method were applied to examine the relationship between the NHHR and the risk of developing HUA. Subgroup analyses and interaction tests were also performed. RESULTS: The prevalence of HUA increased with increasing NHHR values (9.01% vs. 13.38% vs. 17.31% vs. 25.79%, P < 0.001). The NHHR was independently correlated with the risk of developing HUA (OR = 1.10, 95% CI: 1.05-1.16; P < 0.001). Furthermore, the risk of developing HUA was significantly greater among individuals with the highest NHHR quartile than among those with the lowest NHHR quartile (OR = 1.94, 95% CI: 1.62-2.33; P < 0.001). This relationship was consistent across subgroups. According to the RCS analysis, an inverted U-shaped relationship existed between the NHHR and the risk of developing HUA. CONCLUSIONS: The NHHR was closely associated with an increased risk of developing HUA. Further studies on the NHHR could be beneficial for preventing and treating HUA.

Causal relationships between gut microbiota, gut metabolites, and diabetic neuropathy: A mendelian randomization study.

BACKGROUND: Previous studies have shown a strong correlation between gut microbiota and diabetes and its associated complications. We aimed to evaluate the causal relationships between the gut microbiota, gut metabolites, and diabetic neuropathy. METHODS: Summary statistics of 211 gut microbiota and 12 gut-related metabolites (ß-hydroxybutyric acid, betaine, trimethylamine-N-oxide, carnitine, choline, glutamate, kynurenine, phenylalanine, propionic acid, serotonin, tryptophan, and tyrosine) were obtained from previous genome-wide association studies (GWAS). A two-sample Mendelian randomization (MR) design was used to estimate the effects of gut microbiota and gut metabolites on the risk of diabetic neuropathy based on FinnGen GWAS. RESULTS: Higher levels of Acidaminococcaceae (OR = 0.62; 95%CI = 0.46 to 0.84; P = 0.002), Peptococcaceae (OR = 0.70; 95%CI = 0.54 to 0.90; P = 0.006), and Eubacterium coprostanoligenes group (OR = 0.68; 95%CI = 0.50 to 0.93; P = 0.016) are genetically determined to provide protection against diabetic neuropathy. Conversely, the presence of Alistipes (OR = 1.65; 95%CI = 1.18 to 2.31; P = 0.003), ChristensenellaceaeR7 group (OR = 1.52; 95%CI = 1.03 to 2.23; P = 0.033), Eggerthella (OR = 1.28; 95%CI = 1.05 to 1.55; P = 0.014), RuminococcaceaeUCG013 (OR = 1.35; 95%CI = 1.01 to 1.82; P = 0.046), and Firmicutes (OR = 1.42; 95%CI = 1.05 to 1.93; P = 0.023) increases the risk of diabetic neuropathy. Moreover, a correlation has been identified between diabetic neuropathy and two gut metabolites: betaine (OR = 0.95; 95%CI = 0.90 to 1.00; P = 0.033) and tyrosine (OR = 1.03; 95%CI = 1.01 to 1.06; P = 0.019). Sensitivity analysis indicated robust results with no sign of heterogeneity or pleiotropy. CONCLUSION: The present study elucidated the impact of specific gut microbiota and gut metabolites on the susceptibility to diabetic neuropathy. Interventions targeting the improvement of the gut microbiota diversity and composition hold considerable promise as a potential strategy.

Social Isolation, Loneliness, and Depressive Symptoms Among Older Adults: The Moderating Effect of Resilience.

BACKGROUND AND OBJECTIVES: Social isolation has been recognized as a social problem with negative health consequences. Using data from 3 waves of the Health and Retirement Study, this study aimed to examine the long-term impact of social isolation on loneliness and depressive symptoms and to explore the moderating effect of resilience. RESEARCH DESIGN AND METHODS: This study comprised 3,681 U.S. adults aged 60 and older at the baseline wave. Social isolation index was constructed using 5 indicators, including not married or cohabitating with a partner, no social participation, and less than monthly contacts with children, family members, or friends. Loneliness was measured by the University of California Los Angeles (UCLA) Loneliness Scale and depressive symptoms were measured by the Center for Epidemiological Studies-Depression scale. The moderator of resilience was assessed by the simplified resilience score. Latent growth curve models with robust standard errors were estimated. RESULTS: The results of latent growth curve models showed that social isolation was significantly associated with more initial loneliness and depressive symptoms. However, social isolation was associated with a slower increasing rate of loneliness, but no significant relationship with the change rate of depressive symptoms. Furthermore, resilience significantly buffered the negative effect of social isolation on the initial level of depressive symptoms. DISCUSSION AND IMPLICATIONS: The findings underscore the importance of enacting strategies and interventions targeting resilience to address social isolation and its negative consequences among older adults.

Sleep quality and cognitive functioning among Chinese older adults living in the US: A mixed-effects model analysis.

Background: Racial and ethnic disparities in sleep quality and cognitive health are increasingly recognized, yet little is understood about their associations among Chinese older adults living in the United States. This study aims to examine the relationships between sleep parameters and cognitive functioning in this population, utilizing data from the Population Study of Chinese Elderly in Chicago (PINE). Methods: This observational study utilized a two-wave panel design as part of the PINE, including 2,228 participants aged 65 years or older, self-identified as Chinese, who completed interviews at two time points. Cognitive functioning was assessed using a battery of tests on perceptual speed, episodic memory, working memory, and mental status. Sleep quality was assessed using Pittsburgh sleep quality index (PSQI) with four aspects: subjective sleep quality, sleep latency, sleep efficiency, and sleep duration at night. Insomnia was assessed using four items from the Women's Health Initiative Insomnia Rating Scale. Mixed-effects regression models were estimated to assess the predictive effects of sleep parameters on baseline cognitive functioning and the rate of cognitive change over time. Results: Significant negative associations were observed between poor sleep quality and baseline cognitive functioning across various domains, although these initial negative associations diminished over time. More insomnia problems were related to poorer perceptual speed and episodic memory. Long sleep latency, or a long time to sleep onset, was associated with worse functioning across all domains except mental status. Sleep efficiency showed inconsistent associations with various cognitive domains, while sleep duration showed no significant relation to any domains. Conclusions: These findings suggest that poor sleep quality indicators serve as early markers of cognitive impairments. Hence, targeted interventions aimed at improving sleep quality could potentially enhance cognitive health outcomes.

Recent applications and prospects of omega-3 fatty acids: A bibliometric study and visualization analysis in 2014-2023.

Omega-3 fatty acids are indispensable and crucial nutrients that are pivotal in promoting cardiovascular well-being, enhancing cognitive function, and regulating the body's inflammatory response. This study employed bibliometric analysis to investigate the progression of omega-3 fatty acids research. We used the Web of Science Core Collection (WoSCC) to find articles about omega-3 fatty acids published from January 1, 2014, to December 31, 2023. The bibliometric analysis and visualization were conducted using VOSviewer and CiteSpace. This analysis contained a total of 18,764 articles that were focused on omega-3 fatty acids. Among these articles, the nations with the highest number of publications were the United States, China, and Spain. The United States held the greatest influence. The journal Nutrients had the most publications related to this search. Upon analyzing the highly referenced literature, we discovered there is ongoing debate on the potential benefits of Omega-3 fatty acids for illnesses. Moreover, the time-overlapping network analysis of keywords finds investigating the impact of omega-3 fatty acids dietary supplementation on gut microbiota is a promising area of future research. Ultimately, bibliometrics could help researchers comprehend the trajectory of development, noticeable topics, and scholarly impact within omega-3 fatty acids linked domains, thereby offering substantial backing for future investigations of greater depth.

Reduced sensitivity to thyroid hormones is associated with lung function in euthyroid individuals.

Background: The thyroid gland exhibits a subtle interconnection with the lungs. We further investigated the correlation between thyroid hormone sensitivity and lung function in euthyroid individuals. Methods: Data on spirometry and mortality for participants aged 19-79 years were extracted from the NHANES database. Obstructive lung function was defined as a forced expiratory volume in 1 s to forced vital capacity ratio (FEV1/FVC) < 0.70, while restrictive lung function was considered when FEV1/FVC ≥0.70 and baseline FVC <80 % predicted. Central and peripheral sensitivities to thyroid hormones were mainly evaluated by Thyroid Feedback Quantile-based Index (TFQI) and Free Triiodothyronine/Free thyroxine (FT3/FT4) ratio. Logistic regression and subgroup analysis were used to examine potential associations between thyroid hormone sensitivity and lung function. The association between TFQI and all-cause mortality risk was also investigated. Results: A total of 6539 participants were analyzed, 900 with obstructive lung function and 407 with restrictive lung function. The prevalence of impaired lung function, both obstructive and restrictive, increased with higher TFQI levels. Logistic regression analysis showed that increased TFQI and decreased FT3/FT4 levels were independent risk factors for obstructive and restrictive lung function (P < 0.05). After adjusting for the impact of lung function, TFQI (HR = 1.25, 95 % CI 1.00-1.56, P = 0.048) was an independent risk factor for all-cause mortality. Conclusion: Reduced sensitivity to thyroid hormones has been linked to impaired lung function. TFQI and FT3/FT4 are potential epidemiological tools to quantify the role of central and peripheral thyroid resistance in lung function.

Social Disconnectedness, Perceived Loneliness, and Cognitive Functioning: The Role of Neighborhood Environment.

Background and Objectives: Social disconnectedness and loneliness pose significant challenges for older Chinese immigrants. Yet, it remains unclear whether they are associated with an increased risk of cognitive decline in this population. This study aimed to investigate the association of social disconnectedness and loneliness with cognitive functioning and examine the moderation role of neighborhood contexts. Research Design and Methods: This longitudinal analysis examined a sample of individuals aged 60 years and older from the Population Study of Chinese Elderly in Chicago (N = 2,044). Global cognition was assessed using the averaged z-scores of cognitive performance tests. Social disconnectedness was constructed using 5 indicators about structural aspects of social relationships. Loneliness was assessed with the R-UCLA loneliness scale. Neighborhood socioeconomic status (NSES) and neighborhood segregation index were constructed using 2010-2014 American Community Survey data at the census tract level. Individual perceptions about neighborhood environments were used to construct neighborhood cohesion index and neighborhood disorder index (NDI). Latent growth curve models with adjusted cluster robust standard errors were estimated. Results: More loneliness was associated with a higher level of initial cognitive functioning (B = 0.030, p < .01), but also with a faster decline rate over time (B = -0.007, p < .01) after adjusting for covariates. High NSES and less neighborhood segregation buffered the negative effects of loneliness on cognitive decline, respectively. High NDI amplified the positive relationship between loneliness and initial functioning, but accelerated the rate of cognitive decline associated with loneliness. Discussion and Implications: The study revealed that perceived loneliness, but not social disconnectedness, is a risk factor for cognitive decline among older Chinese immigrants. Living in a neighborhood with low socioeconomic status, more segregation, and high disorder elevated the detrimental effect of loneliness on long-term cognitive decline. Further research needs to investigate the complex interplay between social relationships, neighborhood environment, and cognition.

Impaired sensitivity to thyroid hormones is associated with albuminuria in the euthyroid population: results from NHANES.

PURPOSE: The relationship between thyroid hormone sensitivity and albuminuria remains unclear. We aimed to investigate the association between thyroid hormone sensitivity and the risk of albuminuria in a euthyroid population. METHODS: This cross-sectional study included 7634 euthyroid adults collected from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2012. Central sensitivity to thyroid hormones was evaluated using the thyroid-stimulating hormone index (TSHI), the thyrotrophic thyroxine resistance index (TT4RI), and the thyroid feedback quantile-based index (TFQI). Peripheral sensitivity to thyroid hormones was measured using the free triiodothyronine/free thyroxine (FT3/FT4) ratio. Furthermore, the independent relationship between sensitivity to thyroid hormones and albuminuria was assessed. RESULTS: The proportion of albuminuria increased with a higher interquartile range of TFQI levels (7.31% vs. 7.89% vs. 7.95% vs. 9.89%, P = 0.024). Furthermore, TFQI was found to be independently associated with the risk of albuminuria after adjusting for confounding factors (OR = 1.28, 95% CI 1.01-1.60, P = 0.037). Subgroup analysis revealed a significant relationship between TFQI and albuminuria, especially among individuals over 60. CONCLUSIONS: In euthyroid subjects, impaired central sensitivity to thyroid hormones is associated with albuminuria. TFQI holds significant potential as an epidemiological tool for quantifying the impact of impaired central sensitivity on the risk of albuminuria.

Identification of Senescence-Associated Biomarkers in Diabetic Glomerulopathy Using Integrated Bioinformatics Analysis.

Background: Cellular senescence is thought to play a significant role in the onset and development of diabetic nephropathy. The goal of this study was to explore potential biomarkers associated with diabetic glomerulopathy from the perspective of senescence. Methods: Datasets about human glomerular biopsy samples related to diabetic nephropathy were systematically obtained from the Gene Expression Omnibus database. Hub senescence-associated genes were investigated by differential gene analysis and Least Absolute Shrinkage and Selection Operator analysis. Cluster analysis was employed to identify senescence molecular subtypes. A single-cell dataset was used to validate the above findings and further evaluate the senescence environment. The relationship between these genes and the glomerular filtration rate was explored based on the Nephroseq database. These gene expressions have also been explored in various kidney diseases. Results: Twelve representative senescence-associated genes (VEGFA, IQGAP2, JUN, PLAT, ETS2, ANG, MMP14, VEGFC, SERPINE2, CXCR2, PTGES, and EGF) were finally identified. Biological changes in immune inflammatory response, cell cycle regulation, metabolic regulation, and immune microenvironment have been observed across different molecular subtypes. The above results were also validated based on single-cell analysis. Additionally, we also identified several significantly altered cell communication pathways, including COLLAGEN, PTN, LAMININ, SPP1, and VEGF. Finally, almost all these genes could well predict the occurrence of diabetic glomerulopathy based on receiver operating characteristic analysis and are associated with the glomerular filtration rate. These genes are differently expressed in various kidney diseases. Conclusion: The present study identified potential senescence-associated biomarkers and further explored the heterogeneity of diabetic glomerulopathy that might provide new insights into the diagnosis, assessment, management, and personalized treatment of DN.

Causal relationships between gut microbiota and hypothyroidism: a Mendelian randomization study.

BACKGROUND: Previous studies have shown that the gut microbiota plays an important role in the maintenance of thyroid homeostasis. We aimed to evaluate the causal relationships between gut microbiota and hypothyroidism. METHODS: Summary statistics for 211 gut microbiota taxa were obtained from the largest available genome-wide association study (GWAS) meta-analysis conducted by the MiBioGen consortium. Summary statistics for hypothyroidism were obtained from two distinct sources: the FinnGen consortium R9 release data (40,926 cases and 274,069 controls) and the UK Biobank data (22,687 cases and 440,246 controls), respectively. A two-sample Mendelian randomization (MR) design was employed, and thorough sensitivity analyses were carried out to ensure the reliability of the results. RESULTS: Based on the FinnGen consortium, we found increased levels of Intestinimonas (OR = 1.09; 95%CI = 1.02-1.16; P = 0.01) and Ruminiclostridium5 (OR = 1.11; 95%CI = 1.02-1.22; P = 0.02) may be associated with a higher risk of hypothyroidism, while increased levels of Butyrivibrio (OR = 0.95; 95%CI = 0.92-0.99; P = 0.02), Eggerthella (OR = 0.93; 95%CI = 0.88-0.98; P = 0.01), Lachnospiraceae UCG008 (OR = 0.92; 95%CI = 0.85-0.99; P = 0.02), Ruminococcaceae UCG011 (OR = 0.95; 95%CI = 0.90-0.99; P = 0.02), and Actinobacteria (OR = 0.88; 95%CI = 0.80-0.97; P = 0.01) may be associated with a lower risk. According to the UK Biobank data, Eggerthella and Ruminiclostridium5 remain causally associated with hypothyroidism. The sensitivity analysis demonstrates consistent results without evidence of heterogeneity or pleiotropy. CONCLUSION: This study highlights the impact of specific gut microbiota on hypothyroidism. Strategies to change composition of gut microbiota may hold promise as potential interventions.

Residential Segregation, Perceived Neighborhood Environment, and All-Cause Mortality Among Community-Dwelling Older Chinese Americans.

OBJECTIVES: Residential segregation profoundly affects mental and physical health. However, impacts of residential segregation and other neighborhood characteristics on health among older Asian Americans are not fully understood. This study aimed to close this gap by examining effects of residential segregation, perceived neighborhood cohesion, and neighborhood disorder on all-cause mortality among older Chinese immigrants, as well as testing whether the association between residential segregation and mortality would be mediated by perceived neighborhood cohesion and neighborhood disorder. METHODS: Data were drawn from a subsample of 3,094 older Chinese Americans aged 60 and older (mean age = 72.8 years) from the Population Study of Chinese Elderly in Chicago. Residential segregation was derived using 2010-2014 American Community Survey data. Participants completed surveys on perceived neighborhood cohesion and neighborhood disorder between 2011 and 2013. All-cause mortality was tracked until December 2021. RESULTS: Residential segregation was associated with elevated all-cause mortality risk; this association, however, was no longer statistically significant after controlling for sociodemographic, behavioral, and health covariates. Perceived neighborhood cohesion, but not neighborhood disorder, was significantly associated with decreased mortality risks. There were no indirect effects of residential segregation on all-cause mortality through perceived neighborhood cohesion or neighborhood disorder. These effects were consistent across male and female participants. DISCUSSION: These results suggest the importance of neighborhood social environment, specifically perceptions of neighborhood cohesion, in influencing mortality risk among older Chinese immigrants. The findings also indicate the need to conduct further research to examine the health impact of residential segregation among this population.

Residential Segregation and Depressive Symptoms in Older Chinese Immigrants: The Mediating Role of Social Processes.

BACKGROUND AND OBJECTIVES: Older Chinese immigrants are at risk for depression due to acculturative stress and language barriers. Residential segregation with respect to language use plays an important role in the mental health of historically marginalized populations. Previous research provided mixed evidence about the segregation effect among older Latino and Asian immigrants. Guided by a model of social processes, we examined the direct and indirect effects of residential segregation on depressive symptoms via multiple mechanisms of acculturation, discrimination, social network, social support, social strain, and social engagement. RESEARCH DESIGN AND METHODS: Four waves of depressive symptoms were assessed in the Population Study of Chinese Elderly (2011-19, N = 1,970), and linked to the 2010-14 American Community Survey estimates of neighborhood context. Residential segregation was measured by the Index of Concentrations at the Extremes which simultaneously assesses Chinese and English language use within a given census tract. Latent growth curve models with adjusted cluster robust standard errors were estimated after controlling for individual-level factors. RESULTS: Residents of segregated Chinese-speaking neighborhoods had fewer baseline depressive symptoms but a slower rate of symptom reduction than those living in neighborhoods segregated with English-only speakers. Racial discrimination, social strain, and social engagement partially mediated the association between segregation and baseline depressive symptoms; social strain and social engagement partially mediated the association with long-term reduction in depressive symptoms. DISCUSSION AND IMPLICATIONS: This study demonstrates the importance of residential segregation and social processes in shaping mental well-being among older Chinese immigrants and suggests potential mechanisms to alleviate mental health risks.

A Social-Ecological Approach to Understanding Activity Engagement Patterns Among Older Chinese Immigrants.

Few studies have focused on activity engagement among older immigrants. We aim to map the patterns of activity engagement and examine the associations with social-ecological factors in a sample of older Chinese immigrants. Participants were from the Population Study of Chinese Elderly in Chicago (PINE). Four patterns of activity engagement were identified through latent class analysis: restricted, diverse, informal social, and community-based social. Intrapersonal, interpersonal, cultural, and environmental factors distinguished latent classes of activity engagement. In particular, acculturation and family-oriented immigration differentiated the restricted from the diverse class membership. Positive attributes of social environment such as social network size, positive social support, and neighborhood cohesion were associated with the likelihood of categorization in the diverse, informal social, and community-based social groups relative to the restricted group. Findings point to the importance of positive attributes of social environment in enhancing engagement with life among older Chinese immigrants.

Acculturation and depressive symptoms among older Chinese immigrants in the United States: the roles of positive and negative social interactions.

Objectives: Immigration is a stressful experience. Social interactions with family members and friends play an important role in the health and well-being of immigrant older adults. This study examined the association between different domains of acculturation and depressive symptoms among older Chinese immigrants in the United States and investigated the roles of positive and negative interactions with family and friends in such associations.Method: We used data from the Population Study of Chinese Elderly (PINE), a population-based survey of community-dwelling Chinese older adults in the Greater Chicago area (N = 3,158). Depressive symptoms were measured by the PHQ-9. Acculturation, positive and negative social interactions with partner/family/friends were all measured by standard scales. Binary logistic regression models were used to examine the relationship between acculturation and the probability of having depressive symptoms.Results: Results showed that only social acculturation was correlated with a higher likelihood of having depressive symptoms after controlling for relevant sociodemographic variables. Results also demonstrated that 'high positive & high negative', as well as 'high positive & low negative' social interactions had significant moderating effects on the association between media acculturation and depressive symptoms.Conclusion: The study findings suggest that although older Chinese immigrants in the United States with high levels of social acculturation are vulnerable to depressive symptoms, high positive social interactions with partner/family/friends buffer the relationship between media acculturation and depressive symptoms. Community services can help with social acculturation and more positive interactions from partner/family/friends to alleviate depressive symptoms among older Chinese immigrants.

Stress, Coping, and Quality of Life Among Custodial Grandparents.

An increasing number of custodial grandparents are raising grandchildren, and intensive childcare is stressful with many negative personal, interpersonal, economic, and health implications. Grandparents' strengths, including resilience, positive caregiving appraisal, and social support should be considered in the face of parenting stress and adversity. Guided by the stress and resilience model, the current study investigated the associations of parenting stress and coping resources with life satisfaction and mental wellness among custodial grandparents (N = 76). Data were collected between December 2020 and April 2021, through collaborations with community-based agencies located in two metropolitan areas, which provide supportive services to custodial grandparents and their families. Findings showed that more parenting stress was associated with less life satisfaction and worse mental health, and that stress management boosted life satisfaction and mental wellness. Grandparents with more informal social support and social service utilization fared better than their counterparts with less social support and no experience of service use. The results of this study suggest that social work interventions should focus on improving stress management to cope with daily and caregiving stressors. Social workers can help with informal social support and formal social services utilization to address caregiving needs among custodial grandparents.

Weighted Gene Co-Expression Network Analysis of Immune Infiltration in Nonalcoholic Fatty Liver Disease.

BACKGROUND: Immune cell infiltration is an important component of nonalcoholic fatty liver disease (NAFLD) pathogenesis. This study aimed to explore novel genes associated with immune infiltration in the progression of NAFLD. METHODS: CIBERSORT was used to evaluate the abundance of immune infiltration in the human NAFLD via a high-throughput sequencing dataset. Further weighted gene co-expression network analysis (WGCNA) was performed to search for the susceptibility gene module and hub genes associated with differential immune cells. The expression of hub genes in different liver non-parenchymal cell clusters and NAFLD-associated hepatocellular carcinoma (HCC) was also explored. RESULTS: Four hub genes (ITGBL1, SPINT1, COL1A2, and THBS2) were ultimately identified, which may be associated with immune infiltration, fibrosis progression, and activity score. The receiver operating characteristic curve (ROC) analysis suggested that these genes had good predictive value for NASH and advanced fibrosis. A single-cell analysis showed that COL1A2 was highly expressed in hepatic stellate cells (HSCs), especially in the later stage, while SPINT1 was highly expressed in cholangiocytes (Cho). In addition, ITGBL1, COL1A2, and THBS2 might be associated with transforming from nonalcoholic steatohepatitis (NASH) to HCC. Our findings identified several novel genes that might be related to immune infiltration in NAFLD. CONCLUSION: These genes may serve as potential markers for the assessment of immune infiltration as well as therapeutic targets for NAFLD. More studies are needed to elucidate the biological mechanism of these genes in the occurrence and development of NAFLD.

Neighborhood segregation, socioeconomic status, and cognitive function among older Chinese immigrants.

BACKGROUND: The fast-growing population of older Chinese immigrants and their segregated residences highlight the importance of understanding the role of neighborhood context in cognitive health. The segregation-cognition association is equivocal based on a limited number of studies among Hispanic and Asian Americans. To close the knowledge gap, this study examined the associations of neighborhood segregation and socioeconomic status (NSES) with cognitive functioning among older Chinese immigrants. METHODS: Four waves of cognitive performance tests were conducted in the Population Study of Chinese Elderly in Chicago (2011-2019) and linked to the 2010 to 2014 American Community Survey estimates of neighborhood contexts. NSES was a summary z-score of six census variables of education, income/wealth, and occupation. Neighborhood segregation was measured by the Index of Concentrations at the Extremes (ICE), which simultaneously assesses Chinese and English language use within a given census tract. There were 170 census tracts in the present sample of 2044 participants. Latent growth curve models with adjusted cluster robust standard errors were estimated. RESULTS: On average, cognitive functioning declined over time (B = -0.07, p < 0.001). After adjusting for individual-level predictors, living in high-NSES neighborhoods was associated with slower cognitive decline (B = 0.003, p = 0.04). ICE was not associated with cognitive functioning, but boosted the protective effect of high NSES on cognitive decline (B = 0.006, p = 0.05). CONCLUSIONS: Neighborhood socioeconomic advantage was related to slower cognitive decline among older Chinese immigrants, especially among those living in neighborhoods with more English speakers or less segregation. This finding suggests complex associations between neighborhood context and cognitive health among Chinese immigrants.

Immigration Experience and Cognitive Function Trajectories Among Older Chinese Immigrants.

OBJECTIVES: Although a number of studies have documented cognitive health among older immigrants in the United States, little is known about how the life-course immigration experiences are associated with cognitive trajectories among older Chinese immigrants. We assess patterns of cognitive functioning and change over time and examine whether age at migration, reasons for migration, acculturation, perceived discrimination, and preferred dialects are related to cognitive trajectories. METHODS: The sample comprised 2,075 participants from the Population Study of Chinese Elderly (PINE), who completed a battery of cognitive tests at four time points (2011-2019). Latent class growth analysis and multinomial logistic regression were utilized. RESULTS: Three latent classes of cognitive trajectories were identified: the low functioning with the fastest decline (LCF, 12%), the moderate functioning with a medium decline rate (MCF, 39%), and the high functioning with the slowest decline (HCF, 48%). Perceiving more discrimination reduced, whereas speaking Taishanese increased the odds of being in the LCF and MCF. High acculturation only distinguished MCF from HCF after controlling for the known factors of cognitive health such as age, education, and social engagement. DISCUSSION: This study identifies a group of older Chinese immigrants who are especially vulnerable to cognitive impairment and indicates that the risk of cognitive decline appears to be elevated with lower levels of acculturation and unidentified racial discrimination. More research is needed to fully understand the underlying mechanisms that link the life-course immigration experiences to cognitive health outcomes in later life.

Co-treatment of Astragaloside IV with Vitamin D in Diabetic Peripheral Neuropathic Rats: Protective Effects and Potential Mechanisms.

OBJECTIVE: The potential mechanism underlying the protective effect of Astragaloside IV (AS-IV) co-treatment with 1, 25-dihydroxy-vitamin D (Vit-D) on neuropathy in diabetic high-fat rats was investigated. METHODS: The rat diabetic hyperlipidemia (DH) model was established via streptozotocin and a high-fat diet (HFD). After co-treatment (of AS-IV and Vit-D at respective doses of 50 mg/kg via oral gavage and 30000 IU/kg via intramuscular injection), blood glucose levels, markers of inflammation and oxidative stress, as well as apoptosis and histopathology were evaluated with appropriate techniques. RESULTS: Co-treatment could effectively reduce blood glucose levels substantially (p< 0.01), improve weight loss, and decrease oral glucose tolerance. Reduced respective sensory and motor nerve conduction velocities in rats were substantially improved (p<0.01) after co-treatment. Also, we observed obvious improvement in DH-induced injured nerve fiber myelin structure and other organ pathologies in co-treated rats. Besides, we observed up-regulated expressions of peroxisomal-proliferator activated receptor-alpha (PPAR-α) and Vit-D receptors (VDR) (p< 0.01) through the western blotting technique. Using the same technique, we also discovered reduced levels of interleukin (IL)1 beta, IL-6, and tumor necrosis factor-alpha, coupled with increased IL-10 and superoxide dismutase levels (p< 0.01). Importantly, co-treatment could effectively exert antioxidative and anti-inflammatory effects. Also, co-treatment resulted in the up-regulation of PPAR-α and VDR expressions, inhibition of the renin-angiotensin-aldosterone system, and promotion of ß-cell sensitivity to insulin. CONCLUSION: The combined application of AS-IV and Vit-D exhibited health effects such as anti-oxidation, regulation of inflammatory factors, and promotion of cell repair, which may be considered as the mechanisms underlying treatment of diabetic peripheral neuropathy and improvement in biochemical indicators.

Transcriptome analysis of peripheral blood mononuclear cells in patients with type 1 diabetes mellitus.

PURPOSE: Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease characterized by the destruction of pancreatic ß cells. The goal of this study was to explore potential biological biomarkers for T1DM. METHODS: Two microarray datasets (GSE55098 and GSE156035) about human peripheral blood mononuclear cells (PBMCs) were systematically extracted from the Gene Expression Omnibus (GEO) database. Common genes were identified from the perspective of differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) respectively, and hub genes were identified by least absolute shrinkage and selection operator (LASSO) analysis. We also observed the expression of these hub genes in some common autoimmune diseases and predicted transcription factors (TFs) that might be associated with these genes. RESULTS: Seven hub genes (DDIT4, ESCO2, SH3BP4, PRICKLE1, EPM2AIP1, KCNJ15 and GRM8) were finally identified. Receiver operating characteristic (ROC) analysis showed that the high expression of these genes could well predict the occurrence of T1DM. Gene set enrichment analysis (GSEA) suggested that most of these hub genes may be mainly involved in the changes of biological functions such as inflammation, infection, immunity, cancer, and apoptosis. Further, compared with the control group, the expression levels of these hub genes also changed in some other autoimmune diseases, such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), primary biliary cholangitis (PBC), etc., indicating that they might be the common targets of these autoimmune diseases. CONCLUSIONS: The present study identified novel genes associated with T1DM from the PBMCs perspective that might provide new ideas for the early diagnosis, monitoring, evaluation, and prediction of T1DM.