Impact of ectopic fat on brain structure and cognitive function: A systematic review and meta-analysis from observational studies.

Ectopic fat, defined as a specific organ or compartment with the accumulation of fat tissue surrounding organs, is highly associated with obesity which has been identified as a risk factor for cognitive impairment and dementia. However, the relationship between ectopic fat and changes in brain structure or cognition is yet to be elucidated. Here, we investigated the effects of ectopic fat on brain structure and cognitive function via systemic review and meta-analysis. A total of 21 studies were included from electronic databases up to July 9, 2022. We found ectopic fat was associated with decreased total brain volumeand increased lateral ventricle volume. In addition, ectopic was associated with decreased cognitive scores and negatively correlated with cognitive function. More specifically, dementia development were correlated with increased levels of visceral fat. Overall, our data suggested that increased ectopic fat was associated with prominent structural changes in the brain and cognitive decline, an effect driven mainly by increases in visceral fat, while subcutaneous fat may be protective. Our results suggest that patients with increased visceral fat are at risk of developing cognitive impairment and, therefore, represent a subset of population in whom appropriate and timely preventive measures could be implemented.

Correlation of the detection rate of upper GI cancer with artificial intelligence score: results from a multicenter trial (with video).

BACKGROUND AND AIMS: The quality of EGD is a prerequisite for a high detection rate of upper GI lesions, especially early gastric cancer. Our previous study showed that an artificial intelligence system, named intelligent detection endoscopic assistant (IDEA), could help to monitor blind spots and provide an operation score during EGD. Here, we verified the effectiveness of IDEA to help evaluate the quality of EGD in a large-scale multicenter trial. METHODS: Patients undergoing EGD in 12 hospitals were consecutively enrolled. All hospitals were equipped with IDEA developed using deep convolutional neural networks and long short-term memory. Patients were examined by EGD, and the results were recorded by IDEA. The primary outcome was the detection rate of upper GI cancer. Secondary outcomes were part scores, total scores, and endoscopic procedure time, which were analyzed by IDEA. RESULTS: A total of 17,787 patients were recruited. The total detection rate of cancer-positive cases was 1.50%, ranging from .60% to 3.94% in each hospital. The total detection rate of early cancer-positive cases was .36%, ranging from .00% to 1.58% in each hospital. The average total score analyzed by IDEA ranged from 64.87 ± 16.87 to 83.50 ± 9.57 in each hospital. The cancer detection rate in each hospital was positively correlated with total score (r = .775, P = .003). Similarly, the early cancer detection rate was positively correlated with total score (r = .756, P = .004). CONCLUSIONS: This multicenter trial confirmed that the quality of the EGD result is positively correlated with the detection rate of cancer, which can be monitored by IDEA. (Clinical trial registration number: ChiCTR2000029001.).

The relationship between uric acid and brain health from observational studies.

This study conducts a systematic literature review and meta-analysis regarding the potential influence of serum uric acid levels on cerebral small vessel diseases and the cognitive status in the prodromal stages of dementia. We identified four different cerebral small vessel diseases and three specific domains of cognitive performance to be considered in the literature search. The analysis contained 14 studies (13 cross-sectional design and one longitudinal design) with 11,502 participants measuring the relationship between uric acid and cerebral small vessel disease. In both continuous and categorical analyses, significant associations were found between hyperuricemia and cerebral small vessel diseases (continuous data: pooled OR: 1.00, 95%CI: 1.00-1.01 and categorical data: pooled OR: 1.42, 95%CI: 1.15-1.75). For the relationship between uric acid and cognitive performance, 19 studies with 49,901 participants were considered, including eight cohort studies, and 11 cross-sectional studies. The cross-sectional data showed that a marginal relationship existed between uric acid and global cognition (ß: 0.00, 95%CI: -0.01-0.00). The pooled analysis of cohort studies indicated that higher uric acid had a deleterious effect on attention and executive function (continuous data: ß: -0.02, 95%CI: -0.04-0.00 and categorical data: ß: -0.03, 95%CI: -0.07-0.00). Conclusion: Our study indicated that a higher level of uric acid had an adverse effect on brain health. Furthermore, a high level of uric acid is related to cognitive decline in attention and executive function, which may exist a long time before the diagnosis of dementia.

Heterozygous PAX6 mutations may lead to hyper-proinsulinaemia and glucose intolerance: A case-control study in families with congenital aniridia.

AIM: PAX6 is a transcription factor involved in embryonic development of many organs, including the eyes and the pancreas. Mutations of PAX6 gene is the main cause of a rare disease, congenital aniridia (CA). This case-control study aims to investigate the effects of PAX6 mutations on glucose metabolism and insulin secretion in families with CA. METHODS: In all, 21 families with CA were screened by Sanger sequencing. Patients with PAX6 mutations and CA (cases) and age-matched healthy family members (controls) were enrolled. Oral glucose tolerance test (OGTT) was performed to detect diabetes or impaired glucose tolerance (IGT). Insulin and proinsulin secretion were evaluated. RESULTS: Among 21 CA families, heterozygous PAX6 mutations were detected in five families. Among cases (n = 10) from the five families, two were diagnosed with newly identified diabetes and another two were diagnosed with IGT. Among controls (n = 12), two had IGT. The levels of haemoglobin A1c were 36 ± 4 mmol/mol (5.57 ± 0.46%) and 32 ± 5 mmol/L (5.21 ± 0.54%) in the cases and the controls, respectively (p = 0.049). More importantly, levels of proinsulin in the cases were significantly higher than that of the controls, despite similar levels of total insulin. The areas under the curve of proinsulin in the cases (6425 ± 4390) were significantly higher than that of the controls (3709 ± 1769) (p = 0.032). CONCLUSION: PAX6 may participate in the production of proinsulin to insulin and heterozygous PAX6 mutations may be associated with glucose metabolism in CA patients.

Poor Oral Health in Patients with Schizophrenia: a Meta-Analysis of Case-Control Studies.

Patients with schizophrenia have high rates of comorbid physical illness, but there has been less attention to dental diseases in these patients. This meta-analysis of case-control studies systematically examined the oral health in patients with schizophrenia. Case-control studies comparing the oral health in patients with schizophrenia and healthy controls were screened and identified. Standardized mean difference (SMD) with its 95% confidence interval (CI) was calculated using RevMan version 5.3. Three case-control studies comprising 306 patients with schizophrenia and 306 healthy controls were included in this meta-analysis. All studies were rated as "high quality". Patients with schizophrenia had significantly higher scores of decayed, missing and filled teeth (SMD = 0.83, 95%CI: 0.57, 1.09, p < 0.001; I2 = 51%), missing teeth (SMD = 0.79, 95%CI: 0.59, 0.98, p < 0.001; I2 = 19%), and decayed teeth (SMD = 0.89, 95%CI: 0.24, 1.54, p = 0.008; I2 = 92%) when compared to healthy controls. Similarly, patients with schizophrenia had significantly lower filled teeth scores (SMD = -0.76, 95%CI: -1.44, -0.09, p = 0.03; I2 = 93%) when compared to healthy controls. This meta-analysis found that patients with schizophrenia were likely to have worse oral health when compared to healthy controls.

Non-linear association between diabetes mellitus and pulmonary function: a population-based study.

BACKGROUND: There is increasing evidence that the lung is a target organ of diabetes. This study aimed to examine in detail the association between diabetes mellitus and pulmonary function using a national cohort. We also aimed to explore the non-linear association between pulmonary function and blood glucose, insulin resistance, and C-reactive protein (CRP). METHODS: A total of 30,442 participants from the National Health and Nutrition Examination Survey from the period between 2007 and 2012 were included. The cross-sectional association between diabetes mellitus and pulmonary function was assessed using multiple linear regression. Where there was evidence of non-linearity, we applied a restricted cubic spline with three knots to explore the non-linear association. Partial mediation analysis was performed to evaluate the underlying mechanism. All analyses were weighted to represent the US population and to account for the intricate survey design. RESULTS: A total of 8584 people were included in the final study population. We found that diabetes was significantly associated with reduced forced expiratory volume in one second (FEV1) and forced vital capacity. We further found L-shaped associations between hemoglobin A1c (HbA1c) and pulmonary function. There was a negative association between HbA1c and FEV1 in diabetes participants with good glucose control (HbA1c < 7.0%), but not in patients with poor glucose control. A non-linear association was also found with fasting plasma glucose, 2 h-plasma glucose after oral glucose tolerance test, insulin resistance, and CRP. Finally, we found that diabetes duration did not affect pulmonary function, and the deleterious effect of diabetes on pulmonary function was mediated by hyperglycemia, insulin resistance, low-grade chronic inflammation (CRP), and obesity. CONCLUSIONS: Diabetes mellitus is non-linearly associated with pulmonary function. Our finding of a negative association between HbA1c and FEV1 in diabetes patients with good glucose control but not in patients with poor glucose control indicates that a stricter glycemic target should be applied to diabetic patients to improve pulmonary function. Given, the cross-sectional nature of this research, a longitudinal study is still needed to validate our findings.

Prediabetes and structural brain abnormalities: Evidence from observational studies.

Type 2 diabetes mellitus has been linked to structural brain abnormalities, but evidence of the association among prediabetes and structural brain abnormalities has not been systematically evaluated. Comprehensive searching strategies and relevant studies were systematically retrieved from PubMed, Embase, Medline and web of science. Twelve articles were included overall. Stratified analyses and regression analyses were performed. A total of 104 468 individuals were included. The risk of infarct was associated with continuous glycosylated haemoglobin (HbA1c ) [adjusted odds ratio (OR) 1.19 (95% confidence interval [CI]: 1.05-1.34)], or prediabetes [adjusted OR 1.13 (95% CI: 1.00-1.27)]. The corresponding ORs associated with white matter hyperintensities were 1.08 (95%CI: 1.04-1.13) for prediabetes, and 1.10 (95%CI: 1.08-1.12) for HbA1c . The association was significant between the decreased risk of brain volume with continuous HbA1c (the combined OR 0.92, 95% CI: 0.87-0.98). Grey matter volume and white matter volume were inversely associated with prediabetes [weighted mean deviation (WMD), -9.65 (95%CI: -15.25 to -4.04) vs WMD, -9.25 (95%CI: -15.03 to -3.47)]. There were no significant association among cerebral microbleeds, hippocampal volume, continuous total brain volume, and prediabetes. Our findings demonstrated that (a) both prediabetes and continuous HbA1c were significantly associated with increasing risk of infarct or white matter hyperintensities; (b) continuous HbA1c was associated with a decreased risk of brain volume; (c) prediabetes was inversely associated with grey matter volume and white matter volume. To confirm these findings, further studies on early diabetes onset and structural brain abnormalities are needed.

Obstructive sleep apnea is associated with coronary microvascular dysfunction: A systematic review from a clinical perspective.

There is now increasing evidence demonstrating that obstructive sleep apnea (OSA) contributes to microvascular disorder. However, whether OSA is associated with impaired coronary flow reserve is still unclear. Therefore, we conducted this systematic review and meta-analysis to summarize current evidence. In a systematic review, PubMed, Embase, the Cochrane Library and Web of Science were searched; five observational studies fulfilled the selection criteria and were included in this study. Data were extracted from selected studies and meta-analysis was performed using random-effects modelling. In all, 829 OSA patients and 507 non-OSA subjects were included and assessed for coronary flow reserve (CFR), the clinical indicator of coronary microvascular dysfunction (CMD). For all studies, OSA was significantly associated with reduced CFR. The pooled weighted mean difference (WMD) of CFR was -0.78 (95% confidence interval [CI] -1.25 to -0.32, p ï¼œ 0.001, I2  = 84.4%). The difference in the apnea-hypopnea index (AHI) between studies can explain 89% of heterogeneity (coef = -0.05, 95% CI -0.12 to 0.02, p = .078) in a meta-regression, indicating the CFR tended to negatively correlate with severity of OSA. The Egger regression test did not show statistical significance (p = .49). In conclusion, there are plausible biological mechanisms linking OSA and CMD, and the preponderance of evidence from this systematic review suggests that OSA, especially severe OSA, is associated with reduced CFR. Future studies are warranted to further delineate the exact role of OSA in CMD occurrence and development in a prospective setting.

Identification of Rfx6 target genes involved in pancreas development and insulin translation by ChIP-seq.

Regulatory Factor X-box binding transcriptional factor 6 (Rfx6) plays an important role in the differentiation and development of pancreas in mammals. However, the direct target genes of Rfx6 to regulate this process were largely unknown. The present study aimed to investigate the function of Rfx6 on regulating pancreatic differentiation and development in a physiologically-relevant context. We performed the chromatin immunoprecipitation followed by the next generation sequencing analysis (ChIP-seq) using whole pancreatic tissue harvested from C57/BL6 adult mice to find target genes of Rfx6. We captured 4146 unique peaks in the genome region of the adult murine pancreas. Among all these binding peaks, a majority were located in intron or intergenic regions. We further annotated all peaks to their nearest gene, and over 1000 genes were captured as Rfx6-binding genes in the pancreas. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analysis found that Rfx6-binding genes to be associated with the pancreas developmental process. A portion of selected ChIP-seq targets related with pancreas differentiation including Pdx1, Neurod1, Hnf1a, Nkx6-1, St18 and Shox2 were selected and validated as true targets by independent qPCR experiments. In addition, Rfx6 can directly bind to upstream of MiR-145, MiR-195, and possibly other non-protein-coding functional RNAs to control adult mouse pancreatic differentiation. Interestingly, our study revealed that Rfx6 played an important role in insulin translation by binding to the Eif2ak1, Upf1, and Eif5. Our data provide direct target genes of Rfx6 during pancreas development and point to Rfx6 as a potential therapeutic target for improving insulin protein content.

Could Vitamin D be Associated with Proliferative Diabetic Retinopathy? Evidence from Pooling Studies.

Contrasting data about the association between proliferative diabetic retinopathy (PDR) and vitamin D status remain unknown. First, a hospital-based cross-sectional study consisting of 889 diabetic retinopathy (DR) and non-DR (NDR) patients was admitted. Further the accumulated evidence was performed to explore the association and dose-response relationship. Our study indicated that the odd ratio for PDR in vitamin D deficiency (VDD) individuals was significantly increased (1.60, 95% CI 1.06-2.42), compared with NDR in vitamin D sufficiency individuals, adjusted by age, sex, diabetic duration, and HbA1c. Four studies plus our study with data on vitamin D levels in 4970 patients with PDR and NDR subjects are compared. Association between vitamin D deficiency and risk of PDR exists (OR=1.69, 95% CI 1.40-2.05; I2=0%, p=0.61). Association between a nonlinear trend for vitamin D decrease with risk of DR was significant (chi2=16.53, p=0.0003). No significant heterogeneity in identified studies was found (goodness of fit chi2=2.98, p=0.225). It is concluded that vitamin D deficiency is significantly associated with risk of proliferative diabetic retinopathy.

Urine NGAL as an early biomarker for diabetic kidney disease: accumulated evidence from observational studies.

Objectives: Urine neutrophil gelatinase-associated lipocalin (NGAL) was found to increase in diabetic kidney disease (DKD). However, the clinical value of urine NGAL as diagnostic indicators in DKD remains to be clarified. Methods: Relevant studies were systematically retrieved from PubMed, Embase, Web of Science, and the Cochrane Library. Stratified analyses and regression analyses were performed. Results: Fourteen studies with 1561 individuals were included in our analysis, including 1204 cross-sectional participants and 357 cohort participants. For the cross-sectional studies, the pooled sensitivity and specificity of NGAL in the diagnosis of DKD were 0.82 (95% confidence interval (CI): 0.75-0.87) and 0.81 (95% CI: 0.68-0.90), respectively. The pooled diagnostic odds ratio was 19 (95% CI: 11-33), and the overall area under the curve was 0.88 (95% CI: 0.84-0.90). For the cohort studies, the pooled sensitivity and specificity of NGAL in the diagnosis of DKD were 0.96 (95% CI: 0.91-0.98) and 0.89 (95% CI: 0.84-0.92), respectively. The overall area under the curve was 0.98, indicating good discriminative ability of NGAL as biomarkers for DKD. Conclusions: Urine NGAL, as the early diagnostic marker of DKD, might have the high diagnostic value, especially in cohort studies.

Fabrication of Isoniazid/Rifampicin/Poly L-lactic Acid Donut-shaped Implants via Three Dimensional Printing Technique.

Objective To investigate the possibility of manufacturing dual-drug loaded isoniazid/rifampicin/poly L-lactic acid (PLLA) implant with donut-shaped structure via three-dimensional (3D) printing technique and study the drug release characteristic and biocompatibility of the implant in vitro.Methods PLLA was crushed into particles with diameters around 75-100 µm.Isoniazid and rifampicin bulk drugs were dissolved into the organic dissolvent respectively to be the binding liquid.The 3D printing machine fabricated the donut-shaped implant via binding the PLLA powder layer by layer.Dynamic socking method was used to study the in vitro release characteristics,and cell culture experiment was used to test the cytocompatibility of the implant.Results PLLA slow-release implants were made by using the PLLA powder as matrix and isoniazid/rifampicin organic solvent as binding liquid through 3D printing.The drugs in the implants distributed in nest under electron microscope.The concentrations of both drugs were still higher than the lowest effective bacteriostasis concentration after release for 32 days.Cytotoxicity and direct contact tests indicated that the implants had rare cytotoxicity and favorable biocompatibility. Conclusion The donut-shaped implants can be successfully fabricated using the 3D printing method,which offers a new method for the manufacturing of topical slow-release anti-tuberculosis drugs.

The association between weight change patterns and obesity-related complex multimorbidity: evidence from NHANES.

Objective: Obesity is a major risk factor for non-communicable diseases (NCDs), which has been the leading cause of death nowadays. The aim of this study is to examine the association between total changes in body mass index (BMI) across adulthood and the risk of obesity-related complex multimorbidity in elderly, characterizing the capacity of BMI waves in predicting major chronic diseases. Methods: In this retrospective study, 15,520 participants were analyzed from the National Health and Nutrition Examination Survey (NHANES) from 1999 and 2018. BMI was categorized as obesity (≥30.0 kg/m²), overweight (25.0-29.9 kg/m²), normal weight (18.5-24.9 kg/m²), and underweight (<18.5 kg/m²). Odds ratios (ORs) with 95% confidence interval (CIs) for the relationship between BMI change patterns and major health outcomes included hypertension, cancer, chronic obstructive pulmonary disease, cardiovascular disease, and diabetes, and population attributable fractions (PAFs) of BMI were evaluated. Results: In comparison with participants who remained non-obese, those who are stable obese showed the highest risks of developing at least one chronic disease in later life, with odds ratios of 2.76 (95% CI: 2.20 to 3.45) from age 25 years to 10 years before baseline, 2.90 (2.28 to 3.68) from age 25 years to baseline, and 2.49 (2.11 to 2.95) in the 10-year period before baseline. Moving from non-obese to obese weight-change pattern in all periods (from age 25 years to 10 years before baseline: OR = 1.82; 95% CI, 1.57 to 2.11; from age 25 years to baseline: OR = 1.87; 95% CI, 1.59 to 2.19; from 10 years before baseline to baseline: OR = 1.62; 95% CI, 1.26 to 2.08) and moving from obese to non-obese, the 10-year period before baseline (OR = 1.89; 95% CI, 1.39 to 2.57) was associated with increased risk of chronic diseases. Midlife obesity status can explain the 8.6% risk of occurrence of the chronic diseases in elderly. Conclusions: Maintaining a stable healthy weight and losing weight in early adulthood and midlife are important for better life quality during the aging process. More effective strategies and policies to reduce the prevalence of obesity are needed.

Diabetic Retinopathy and Brain Structure, Cognition Function, and Dementia: A Bidirectional Mendelian Randomization Study.

BACKGROUND: Accumulating evidence has demonstrated that hyperglycemia is a possible risk factor for mild cognitive impairment or Alzheimer's disease. Diabetic retinopathy (DR) has been identified as a risk factor for dementia in patients with diabetes. OBJECTIVE: This study aimed to investigate the causal relationships between DR and brain structure, cognitive function, and dementia. METHODS: We performed bidirectional two-sample Mendelian randomization for DR, brain structure, cognitive function, and dementia using the inverse-variance weighted method. RESULTS: Inverse-variance weighted analysis showed the association of DR with vascular dementia (OR = 1.68, 95% CI: 1.01-2.82), and dementia was significantly associated with the increased risk of non-proliferative DR (NPDR) (OR = 1.76, 95% CI: 1.04-2.98). Furthermore, better cognitive performance was significantly associated with a reduced risk of NPDR (OR = 0.85, 95% CI: 0.74-0.98). No association was observed between DR and brain structure. CONCLUSIONS: These findings suggest that the association of DR with vascular dementia. The reciprocal effect of cognitive performance and dementia on NPDR risk highlights the potential benefits of dementia prevention for reducing the burden of DR.

An observational study on the safety of teprotumumab based on FAERS database.

OBJECTIVE: Teprotumumab plays an important role in thyroid eye disease pathogenesis and progression. We intend to mine the adverse event (AE) signals from a relevant database, thereby contributing to the safe use of teprotumumab. METHODS: The data obtained from the ASCII data packages in the FAERS database from January 2020 to the second quarter of 2023 were imported into the SAS software (version 9.4) for data cleaning and analysis. Disproportionality analysis was performed using the reporting odds ratio (ROR) in conjunction with the United Kingdom Medicines and Healthcare Products Regulatory Agency (MHRA) omnibus standard method to detect positive signals. PARTICIPANTS: This retrospective observational study relied on adverse drug reactions reported to the FDA through FAERS, which is a standard public system for spontaneous reporting. RESULTS: Collectively, 2171 AE reports for teprotumumab were collected, among which 108 significant signals were identified involving 17 system organ classes. The SOC of ear and labyrinth disorders included the most AE signals and reports. Muscle spasms, fatigue, headache, nausea, diarrhea, alopecia, blood glucose increased, hypoacusis, tinnitus, and diabetes mellitus were the top ten PTs ranked by the frequency of reporting, meanwhile, the two high-strength signals of thyroid-stimulating immunoglobulin increase (ROR 662.89, 95% CI 182.40-2409.19) and gingival recession (ROR 125.13, 95% CI 79.70-196.45) were not documented in the drug instruction. Meanwhile, we found a higher risk of increased blood glucose, deafness, and decreased appetite for male patients, and headache for female patients. CONCLUSIONS: Clinical application of teprotumumab should be closely monitored for ototoxicity, nail abnormalities, and menstrual changes, as well as for AEs not mentioned in the drug instruction, including gingival recession, thyroid-stimulating immunoglobulin increase, and so on.

The Effect of Antihyperglycemic Medications on COVID-19: A Meta-analysis and Systematic Review from Observational Studies.

BACKGROUND: Diabetes, a chronic disease worldwide, may be associated with a poorer prognosis in patients with coronavirus disease 2019 (COVID-19). While some antihyperglycemic medications may be beneficial, others may increase the risk of adverse clinical outcomes of COVID-19. We aimed to analyze the effect of antihyperglycemic medications on COVID-19. METHODS: We searched the Web of Science, Cochrane Library, EMBASE, PubMed, and Scopus databases from December 2019 to June 2022 to identify literature related to patients with COVID-19 and type 2 diabetes mellitus (T2DM) treated with antihyperglycemic medications. RESULTS: 56 studies were included in the analysis. Metformin (OR 0.66; 95% CI 0.58-0.74; p < 0.05), Glucagon-like peptide-1 receptor agonist (GLP-1ra) (OR 0.73; 95% CI 0.59-0.91; p < 0.05), and sodium-dependent glucose transporters 2 inhibitor (SGLT 2i) (OR 0.77; 95% CI 0.69-0.87; p < 0.05) were associated with lower mortality risk, while insulin was associated with increased mortality risk (OR 1.40; 95% CI 1.26-1.55; p < 0.05). Meanwhile, metformin (OR 0.65; 95% CI 0.50-0.85; p < 0.05) and GLP-1ra (OR 0.84; 95% CI 0.76-0.94; p < 0.05) were significantly associated with decreased severe manifestation risk. What's more, metformin (OR 0.77; 95% CI 0.62-0.96; p < 0.05), GLP-1ra (OR 0.86; 95% CI 0.81-0.92; p < 0.05), and SGLT 2i (OR 0.87; 95% CI 0.79-0.97; p < 0.05) were also associated with a decreased risk of hospitalization, but insulin were associated with an increased risk of hospitalization (OR 1.31; 95% CI 1.12-1.52; p < 0.05). Nevertheless, the results of the subgroup analyses showed that the effects of different glucose-lowering agents on COVID-19 may be related to in-hospital use or out-hospital use, elderly or non-elderly patients use, and different geography. CONCLUSION: Metformin, GLP-1ra, and SGLT 2i have shown a positive effect on clinical outcomes in COVID-19, particularly in non-elderly individuals. However, insulin use may pose a higher risk, especially in elderly patients, so need with caution. Meanwhile, DPP-4i, TZD, α-GLUi, and sulfonylureas appeared to have a neutral effect. These results need to be validated in future clinical studies.

The Association Between Diabetes Duration and Domain-Specific Cognitive Impairment: A Population-Based Study.

BACKGROUND: Diabetes is a risk factor for cognitive impairment, and disease duration is associated with geriatric decline and functional disabilities. OBJECTIVE: This study aimed to examine the association of diabetes duration with domain-specific cognitive impairment in elderly. METHODS: A total of 3,142 participants from the National Health and Nutrition Examination Survey (NHANES) from the period between 2011 and 2014 were included. We assessed cognitive function using the Digit Symbol Substitution Test (DSST), the CERAD Word Learning (CERAD-WL) test, the CERAD Delayed Recall (CERAD-DR) test and animal fluency (AF) test. RESULTS: After adjusting for age, sex, race/ethnicity, education level, and annual household income, we found that diabetes with a duration longer than 20 years were at 3.32-fold increased risk of DSST impairment (OR = 3.32, 95% CI: 1.95 to 5.67), 1.72-fold increased risk of CERAD-WL impairment (OR = 1.72, 95% CI: 1.13 to 2.62), and 1.76-fold increased risk of AF impairment (OR = 1.76, 95% CI: 1.23 to 2.53), compared with those with no diabetes. Associations were generally stronger in women than in men. Participants with diabetes, who were diagnosed at 50-59 years old were at increased risk of DSST impairment, CERAD-WL impairment, CERAD-DR impairment, and AF impairment per 5 years longer duration of diabetes. CONCLUSION: Longer diabetes duration was associated with the increased risk of cognitive impairment, especially in processing speed and attention. The presence of chronic kidney disease was associated with the increased risk of DSST impairment.

Predicted lean body mass in relation to cognitive function in the older adults.

Background: Previous findings about lean body mass (LBM) and cognitive function remain unclear. We aimed to examine this association by using data from the National Health and Nutrition Examination Survey (NHANES). Methods: Using data from the NHANES 2011-2014, we conducted logistic regression models to investigate the relation between the predicted LBM and domain-specific cognitive function assessed by Digit Symbol Substitution Test (DSST), Consortium to Establish a Registry for Alzheimer's Disease Word Learning test (CERAD-WL) and Delayed Recall test (CERAD-DR), and Animal Fluency (AF) for information processing speed, memory, and executive function, respectively. Cognitive impairment was defined as the lowest quartile of each cognitive test in the total population. Sex-stratified analysis was further made. Results: A total of 2955 participants aged 60 and above (mean [SD] age, 69.17[0.20] years; 1511 female [51.13%]) were included in the study. After being adjusted for social economic factors, anthropometric parameters, and diseases, we found a positive association between predicted LBM and information processing speed (Odds ratio of DSST impairment= 0.95, 95%CI= 0.91 to 0.99) regardless of body mass index and sex. Compared with patients in the first quartile of predicted LBM, those in the fourth quartile had an odds ratio of 0.355 (95% confidence interval 0.153-0.822) for DSST impairment. No significant relation in other cognitive tests and predicted LBM was found whether stratified by sex or not. Conclusion: Our findings point to the association between predicted lean body mass and cognitive dysfunction in information processing speed, which could be used for early detection and prevention of deterioration of cognitive function among older adults.

Relationship Between Weight-Change Patterns and Cognitive Function: A Retrospective Study.

BACKGROUND: Obesity has been linked to cognitive impairment. However, how changes in body mass index (BMI) over the life course influence cognitive function remains unclear. OBJECTIVE: The influence of distinct weight-change patterns from young adulthood to midlife and late adulthood on cognitive function in older adults was explored. METHODS: A total of 5,809 individuals aged≥60 years were included and categorized into four groups on the basis of BMI change patterns. Cognitive function was assessed using four cognition tests in the baseline survey. The relationship between the weight-change patterns and cognition was evaluated using regression models. RESULTS: In comparison with participants who remained at non-obese, those moving from the non-obese to obese weight-change pattern from young (25 years of age) to middle adulthood showed lower Digit Symbol Substitution Test (DSST) scores (ß= -1.28; 95% confidence interval [CI]: -2.24 to -0.32). A non-obese to obese change pattern from age 25 years of age to 10 years before baseline was associated with a higher risk of DSST impairment (odds ratio = 1.40; 95% CI: 1.09 to 1.79). In comparison with participants whose heaviest weight was recorded after 60 years of age, those with the heaviest weight between 18 and 40 years of age had lower DSST scores (ß= -1.46; 95% CI: -2.77 to -1.52). CONCLUSION: Our results suggest that the transition from the non-obese to obese category in early adulthood and appearance of the heaviest weight between 18 and 40 years of age are associated with lower cognitive function in later life.

Comparison of Bone Mineral Density in US Adults With Diabetes, Prediabetes and Normoglycemia From 2005 to 2018.

Background: Accumulating evidence has shown that diabetes has an impact on bone metabolism with conflicting results. Furthermore, little is known about the relationship of prediabetes with bone mineral density (BMD). Therefore, we explored the association between BMD and glucometabolic status in adults in the US. Methods: In this cross-sectional study, we extracted and analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. A total of 14610 subjects aged 40 ≥ years diagnosed with diabetes, prediabetes, or normal glucose regulation (NGR) and had available data on BMD were eligible. Results: The prevalence of prediabetes and diabetes in US adults aged 40 ≥ years were 39.2% and 26.4%, respectively. After multivariable adjustment, we found an increasing trend of BMD at the total hip, femoral neck, and lumbar spine with glucometabolic conditions from NGR and prediabetes to diabetes in adults aged ≥ 40 years in the US. This trend was more prominent in women than that in men. Fasting plasma glucose (FPG) and HbA1c levels were also positively correlated with BMD. Conclusions: Glucometabolic conditions were significantly associated with BMD values in US adults.