Metabolic Syndrome and Related Inflammation, Prevalence, and Predictive Value of C-Reactive Protein in South Asian Youths

The association of metabolic syndrome score trajectory patterns with risk of all cancer types

BACKGROUND

Metabolic syndrome (MetS) elevates cancer risk. However, a single MetS assessment does not fully reveal the long-term association with cancer. Inflammation, alongside MetS, could synergistically expedite both the onset and advancement of cancer. This study aims to investigate MetS score trajectories and cancer risk in a large, prospective cohort study.

METHODS

The authors prospectively examined the relationship between MetS score trajectory patterns and new-onset cancer in 44,115 participants. Latent mixture modeling was used to identify the MetS score trajectories. Cox proportional hazards regression models were used to evaluate the association between MetS score trajectory patterns and the risk of overall and site-specific cancers.

RESULTS

Four MetS score trajectory patterns were identified: low-stable (n = 4657), moderate-low (n = 18,018), moderate-high (n = 18,288), and elevated-increasing (n = 3152). Compared to participants with a low-stable trajectory pattern, the elevated-increasing trajectory pattern was associated with an elevated risk of overall (hazard ratio [HR], 1.27; 95% confidence interval [CI], 1.04-1.55), breast (HR, 2.11; 95% CI, 1.04-4.34), endometrial (HR, 3.33; 95% CI, 1.16-6.77), kidney (HR, 4.52; 95% CI, 1.17-10.48), colorectal (HR, 2.54; 95% CI, 1.27-5.09), and liver (HR, 1.61; 95% CI, 1.09-4.57) cancers. Among participants with chronic inflammation (C-reactive protein levels ≥3 mg/L), the elevated-increasing trajectory pattern was significantly associated with subsequent breast, endometrial, colorectal, and liver cancers.

CONCLUSIONS

Trajectories of MetS scores are associated with the occurrence of cancers, especially breast, endometrial, kidney, colorectal, and liver cancers, emphasizing the importance of long-term monitoring and evaluation of MetS.

PLAIN LANGUAGE SUMMARY

The association between long-term elevated metabolic syndrome (MetS) scores and a heightened risk of various cancers is a pivotal finding of our study. Our research further indicates that individuals with MetS, particularly when coupled with chronic inflammation, are at an increased risk of cancer. We propose that sustained monitoring and management of MetS could be beneficial in reducing cancer risk.

Diet Quality Mediates the Relationship Between Chronic Stress and Inflammation in Patients With Metabolic Syndrome

BACKGROUND

Chronic stress is associated with promotion of inflammation and development of metabolic syndrome, as well as deterioration of diet quality. Inflammation can be modified by changes in dietary intake.

OBJECTIVE

The aim of this study was to test the hypothesis that diet quality mediates the relationship of chronic stress with inflammation in patients with metabolic syndrome.

METHODS

Participants with metabolic syndrome (n = 73, 62 ± 12 years old, 71% female) completed questionnaires on chronic stress (Perceived Stress Scale-10) and diet quality (Healthy Eating Index-2020). The Perceived Stress Scale-10 was dichotomized. The Healthy Eating Index-2020 score was used as a continuous variable, and higher scores indicate better diet quality. Inflammation was assessed using plasma high-sensitivity C-reactive protein (log-transformed). We used PROCESS in SPSS to test the hypothesis.

RESULTS

Patients in the higher stress group had lower Healthy Eating Index-2020 scores (worse diet quality) than those in the lower stress group (57 ± 13 vs 64 ± 10, P = .01). Diet quality mediated the relationship between chronic stress and inflammation (indirect effect, 0.211; 95% bootstrap confidence interval, 0.006-0.496). Higher stress was associated with lower diet quality (effect, -7.152; 95% confidence interval, -13.168 to -1.137) that was associated with increased inflammation (effect, -0.030; 95% confidence interval, -0.052 to -0.007).

CONCLUSIONS

Our findings show the important role of diet quality in the relationship of chronic stress with inflammation in patients with metabolic syndrome. Healthcare providers should encourage patients with higher stress to improve diet quality, which can decrease inflammation.

Prevalence and factors associated with metabolic syndrome in university students and academic staff in Bangladesh

Metabolic syndrome (MetS) is a group of medical conditions that increase the risk of cardiovascular disease, stroke, and type 2 diabetes. While there are numerous studies on the prevalence of MetS in the general adult population worldwide, limited information exists regarding its prevalence among university students and academic staff. This study aimed to determine the prevalence of MetS and associated risk factors among Bangladesh university students and academic staff. For this cross-sectional study, 583 participants were randomly selected from university students (n = 281) and academic staff (n = 302) in Bangladesh. The participants' fasting blood samples were collected, and their serum lipid profile levels, fasting blood glucose, and other parameters were measured using standard methods. MetS was defined according to the NCEP-ATP III model guidelines. Additionally, a questionnaire was administered to the participants to gather information on socio-demographics, lifestyle risk behaviours, and personal medical history. Multivariate logistic regression models were used to determine the risk factors associated with MetS. Overall, the prevalence of MetS was 27.7% in students and 47.7% in staff. There was a significant difference (p < 0.01) in MetS prevalence between male students (34.8%) and female students (17.2%). In contrast, it was comparatively higher in female staff (52.3%) than in male staff (45.8%), although the difference was not statistically significant. The prevalence of MetS and its components increased with age in student and staff groups. The most common component of MetS was low levels of HDL-C, which affected 78% and 81.4% of the students and staff, respectively. Logistic regression modelling showed that increased age, BMI, hypertension, dyslipidemia, low physical activity, and smoking were significantly associated with MetS in students (at least p < 0.05 for all cases). On the other hand, increased age and BMI, hypertension, and dyslipidemia were significantly associated with MetS in academic staff (at least p < 0.05 for all cases). In conclusion, this study indicates a high prevalence of MetS in university students and staff in Bangladesh. Age, BMI, hypertension and dyslipidemia were independently associated with the risk of MetS in both groups. The findings emphasize the importance of interventions for students and staff in academic settings in Bangladesh. It is crucial to implement health promotion activities such as healthy diet and exercise programs more rigorously. Further research with more representative samples is needed to get more clear insights into MetS prevalence in this particular population subgroup for targeted interventions.

Lian-Qu formula treats metabolic syndrome via reducing fat synthesis, insulin resistance and inflammation

ETHNOPHARMACOLOGICAL RELEVANCE

Metabolic syndrome (MetS) is a pathological condition characterized by obesity, hyperglycemia, hypertension and hyperlipidemia that increases the risk of cardiovascular disease, type 2 diabetes and non-alcoholic fatty liver disease. The traditional Chinese medicine Lian-Qu formula (LQF) is modified from Xiaoxianxiong decoction, which has been used for coronary heart disease or metabolic disease in clinical for a long time. However, the pharmacological mechanism of LQF on MetS is unclear.

AIM OF THE STUDY

Here, we explored the actions of LQF on MetS via network pharmacology and validated the mechanism in the MetS mice.

MATERIALS AND METHODS

The chemical components of LQF were searched in the traditional Chinese medicine systems pharmacology database and the natural product activity & species source database. The related targets of MetS disease were gathered from genes cluster with literature profiles database. The protein-protein interaction network was constructed to obtain the key target genes. The Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment of the key targets were performed to predict the potential mechanisms of LQF action on MetS. And then, the high-fat diet-induced MetS mice were used to validate its therapeutic effect and molecular targets. Insulin tolerance test and oral glucose tolerance test were used to assess insulin sensitivity. Body weight and visceral fat index were measured to assess obesity. Liver metabolism was detected by H&E section, oil red O staining and untargeted lipid metabolomics experiments. Finally, the key targets of LQF action on MetS were verified by PCR and ELISA kits.

RESULTS

A total of 466 components in LQF were obtained, among which 71 were active. These components correspond to 74 targets associated with MetS. The predicted targets of LQF worked on MetS were AKT1, INSR, PPARs, FASN, LDLR, TNF, CRP, IL-6, IL-1β and so on. Furthermore, these targets were related to pathways in cellular response to lipid, inflammatory response, glucose transmembrane transport and insulin resistance. Finally, the animal experiments validated that LQF inhibited lipids accumulation by inhibiting the gene expression of FASN and increasing ADPN, and it relieved insulin resistance by increasing GLUT-4 expression. Moreover, LQF alleviated inflammation by reducing IL-6 and CRP levels.

CONCLUSION

LQF exerted anti-MetS effects through improving insulin sensitivity, ameliorating hyperlipidemia and obesity, reducing liver injury, and inhibiting inflammatory response.