The association between curry-rice consumption and hypertension, type 2 diabetes, and depression: The findings from KNHANES 2012-2016

Consumption of dietary turmeric promotes fat browning and thermogenesis in association with gut microbiota regulation in high-fat diet-fed mice

This study was designed to verify the anti-obesity effect of dietary turmeric powder (TP) as a traditional cooking spice and its underlying mechanism. The HFD-fed C57BL/6J mice were supplemented with or without TP (8%) for 12 weeks. The results indicated that the glucolipid metabolism disorder of high-fat diet (HFD)-fed mice was significantly ameliorated through the supplementation of TP. The consumption of TP also induced beige-fat development and brown adipose tissue (BAT)-derived nonshivering thermogenesis in HFD-fed obese mice. 16S rDNA-based microbiota or targeted metabolomics analysis indicated that TP ameliorated the intestinal microbiota dysbiosis and microbial metabolism abnormality caused by HFD, reflected by dramatically increasing the relative abundance of Muribaculaceae, Candidatus_Saccharimonas, and Bifidobacterium and production of short-chain fatty acids (SCFAs) and succinate. Interestingly, TP-induced BAT thermogenesis and iWAT browning were highly correlated with the reconstruction of the gut microbiome and formation of SCFAs and succinate. Collectively, these findings manifest beneficial actions of TP on the promotion of adipose browning and thermogenesis in association with gut microbiota reconstruction, and our findings may provide a promising way for preventing obesity.

Detecting depression severity using weighted random forest and oxidative stress biomarkers

This study employs machine learning to detect the severity of major depressive disorder (MDD) through binary and multiclass classifications. We compared models that used only biomarkers of oxidative stress with those that incorporate sociodemographic and health-related factors. Data collected from 830 participants, based on the Patient Health Questionnaire (PHQ-9) score, inform our analysis. In binary classification, the Random Forest (RF) classifier achieved the highest Area Under the Curve (AUC) of 0.84 when all features were included. In multiclass classification, the AUC improved from 0.84 with only oxidative stress biomarkers to 0.88 when all characteristics were included. To address data imbalance, weighted classifiers, and Synthetic Minority Over-sampling Technique (SMOTE) approaches were applied. Weighted random forest (WRF) improved multiclass classification, achieving an AUC of 0.91. Statistical tests, including the Friedman test and the Conover post-hoc test, confirmed significant differences between model performances, with WRF using all features outperforming others. Feature importance analysis shows that oxidative stress biomarkers, particularly GSH, are top ranked among all features. Clinicians can leverage the results of this study to improve their decision-making processes by incorporating oxidative stress biomarkers in addition to the standard criteria for depression diagnosis.

Roles of mixed nutrient intakes on metabolic syndrome among korean adults 19-80 years old: molecular mechanisms involved

Purpose

We aim to identify the association between nutrient intake mixtures (22 micro-macro nutrients) and metabolic syndrome (MetS) or its components, including molecular mechanisms involved, among 16,807 Korean adults aged 19-80.

Methods

The associations of mixed nutrient intakes on MetS or its components were identified using linear regression models, WQS regression, qgcomp, and BKMR regression. Genes, transcription factors, miRNA, biological processes, and pathways were assessed using GeneMania, CHEA3, MIENTURNET, and ToppFun functions.

Results

We found that the overall effect of mixed nutrient intakes was also related to MetS and its components. In silico analysis, we found that a mixture of nutrients interacted with the IL6 gene and was linked with MetS. Physical interactions were the key interactions (77%) involved in the mutual genes and MetS targeted by a mixture of nutrients. IL6 related pathways, "positive regulation of type B pancreatic cell apoptotic process", "regulation of glucagon secretion", "LDL pathway during atherogenesis", and "IL-10 anti-inflammatory signaling pathway" were identified as key molecular mechanisms that may be targeted by mixed nutrients implicated in MetS. The key miRNAs and transcription factors involved in the process of MetS targeted by a mixture of nutrients were also described. The cutoff levels for nutrient intake levels associated with MetS and its components were also described.

Conclusion

Our findings will pave the way for further research to evaluate the interactions between a mixture of nutrients and non-communicable diseases.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-022-01158-1.

Nutrient Inadequacy in Korean Young Adults with Depression: A Case Control Study

The role of diet is gaining attention among the modifiable factors associated with depression; thus, this case-control study examined the association between nutrition and depression in young Korean adults. Dietary surveys in individuals with depression (n = 39) and age- and gender-matched controls (n = 76) were conducted using food records and food frequency questionnaires. Men with depression consumed less mushrooms and meat, while women consumed significantly less grains (p < 0.05). Overall, the depression group consumed less energy and nutrients, and the difference was more pronounced in men. The male depression group had lower nutrient adequacy ratio (NAR) for energy, protein, vitamin A, thiamine, niacin, folate, and phosphorus, whereas the female depression group had lower NARs for energy, protein, niacin, and vitamin B₁₂. The depression group had a significantly lower mean adequacy ratio in both genders. Furthermore, the proportion of inappropriate nutrient intake was higher in both genders of the depression group, exhibiting significant differences in energy, protein, niacin, folate, and zinc in men and energy, riboflavin, folate, and vitamin C in women. Hence, both men and women in the depression group had poor nutrient intake and high rates of nutrient inadequacy and improper consumption. This suggests that the quantity and quality of meals should be improved for individuals with depressive symptoms.

Effects of heavy metals on cardiovascular diseases in pre and post-menopausal women: from big data to molecular mechanism involved

To assess the link between a mixed heavy metal (cadmium, lead, and mercury) and the 10-year risk of cardiovascular diseases (CVDs) in pre- and post-menopausal Korean women aged ≥20 years, as well as identify potential molecular mechanisms of mixed heavy metal-induced CVDs. Multivariate linear regression, weighted quantile sum (WQS) regression, quantile g-computation (gqcomp), and Bayesian kernel machine regression (BKMR) models were used to examine the effects of mixed heavy metals and the 10-year risk of CVDs. The Comparative Toxicogenomics Database, MicroRNA ENrichment TURned NETwork, and the microRNA sponge generator and tester were used as the key data-mining approaches. In our BKMR analysis, we found that the overall effect of mixed heavy metals was linked to the 10-year risk of CVDs in postmenopausal women in the upper 20^th percentiles and in premenopausal women in the upper 55^th percentiles. Mercury was identified as the key chemical for the 10-year risk of CVDs in pre- and postmenopausal women. In silico analysis revealed that a heavy metal mixture interacted with six genes associated with CVD development. Physical interactions (77.6%) were found to be the most common among CVD-related genes induced by the heavy metals studied. Several pathways have been identified as the main molecular mechanisms that could be affected by studied heavy metals and are implicated in the development of CVDs (e.g., lipid and lipoprotein metabolism, lipoprotein metabolism, cholesterol metabolism, and cardiovascular disease). ALB, APOE, ATF5, and CREB3L3 were the key genes and transcription factors related to CVDs induced by the mixture of the investigated heavy metals, respectively. The two miRNAs with the highest interaction and expression in the development of CVDs were hsa-miR-199a-5p and hsa-miR-199a-3p. We also designed and tested miRNA sponge sequences for these miRNAs. The cutoff thresholds for each heavy metal level linked with the 10-year risk of CVDs were described. A mixture of heavy metal exposures, especially mercury, was more strongly linked with the 10-year risk of CVDs in postmenopausal women than in premenopausal women. Early interventions in postmenopausal women should be considered to reduce CVD risks.

Curcumin-Attenuated TREM-1/DAP12/NLRP3/Caspase-1/IL1B, TLR4/NF-κB Pathways, and Tau Hyperphosphorylation Induced by 1,2-Diacetyl Benzene: An in Vitro and in Silico Study

We aimed to evaluate the effects of 1,2-diacetylbenzene (DAB) and curcumin on neuroinflammation induced by DAB via triggering receptor expressed on myeloid cells 1 (TREM-1), Toll-like receptor 4 (TLR4), and NLR family pyrin domain containing 3 (NLP3)/calcium-dependent activator protein for secretion 1 (CAPS1)/interleukin 1 beta (IL1B) pathways; tau hyperphosphorylation; reactive oxygen species (ROS); and advanced glycation end-product (AGE) in microglia cells; and explore the molecular mechanisms involved in the key genes induced by DAB and targeted by curcumin in silico analysis. In this study, Western blot, quantitative polymerase chain reaction, and immunocytochemistry were used as the key methods in vitro. In silico analysis, GeneMANIA, ToppFun feature, Metascape, CHEA3, Cytoscape, Autodock, and MIENTURNET were the core approaches used. Curcumin inhibited both the DAB-induced TREM-1/DAP12/NLRP3/caspase-1/IL1B pathway and the TLR4/NF-κB pathway. In BV2 cells, curcumin inhibited ROS, AGE, hyperphosphorylation, glycogen synthase kinase-3β (GSK-3β), and β-amyloid while activating nuclear factor erythroid 2-related factor 2 (Nrf2) expression. In silico studies showed that tumor necrosis factor (TNF), IL6, NFKB1, IL10, and IL1B, as well as MTF1 and ZNF267, were shown to be important genes and transcription factors in the pathogenesis of cognitive impairment produced by DAB and curcumin. Three significant miRNAs (hsa-miR-26a-5p, hsa-miR-203a-3p, and hsa-miR-155-5p) implicated in the etiology of DAB-induced cognitive impairment and targeted by curcumin were also identified. Inflammation and cytokine-associated pathways, Alzheimer's disease, and cognitive impairment were characterized as the most significant biological processes implicated in genes, miRNAs, and transcription factors induced by DAB and targeted by curcumin. Our findings provide new insight into fundamental molecular mechanisms implicated in the pathogenesis of cognitive impairment caused by DAB, particularly the effects of neuroinflammation. Furthermore, this study suggests that curcumin might be a promising therapeutic molecule for cognitive impairment treatment through modulating neuroinflammatory responses.

Mixtures modeling identifies vitamin B1 and B3 intakes associated with depression

BACKGROUND

We aim to identify the association between a mixture of vitamin B1, B2, and B3 intakes and depression.

METHODS

Daily intake of vitamins was measured by a one-day 24 h recall. Multivariate logistic regression, weighted quantile sum (WQS), quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) were used.

RESULTS

Of 9,848 adults included in the final analysis, 4.38% had depression. In the logistic regression model, daily vitamin B1 and B3 intakes were associated with depression, and significant trends were observed for these vitamin intake tertiles (p < 0.001). The WQS index was significantly associated with depression (OR = 0.24, 95% CI: 0.23-0.24). The gqcomp index also found a significant association between a mixture of vitamin B1 and B3 intake and depression (OR = 0.67, 95% CI: 0.44-0.98). Vitamin B1 intake was the most heavily weighed vitamin intake in this model. In BKMR analysis, the overall effects of vitamin B1 and B3 intake mixture were negatively associated with depression. Vitamin B1 and B3 intake showed negative trends and was observed as the most important factor associated with depression. The cutoff levels for B vitamin intake levels related to depression were reported.

LIMITATIONS

A 24-hour recall and cross-sectional design were used.

CONCLUSIONS

Given the rising prevalence of depressive symptoms in Korea, an increase in daily intake of vitamin B1 and/or B3 through regular diets may help to reduce the risk of depression. Therefore, there is an ongoing need to investigate these associations between B vitamin supplementation and depression, either separately or jointly, in well-characterized cohorts of depression population.