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Journal of Reproductive Immunology Jun 2024The roles of IL-10, IL-11, COX-2, BCL6, ZEB1, and ZEB2 genes in the potential correlation between polycystic ovary syndrome (PCOS), inflammation, and cancer remain...
Comparison of serum levels of IL-10 and IL-11 and mRNA expression of IL-10, IL-11, COX-2, BCL6, and ZEB Family in peripheral blood mononuclear cells (PBMC) of women with polycystic ovary syndrome and healthy individuals.
BACKGROUND
The roles of IL-10, IL-11, COX-2, BCL6, ZEB1, and ZEB2 genes in the potential correlation between polycystic ovary syndrome (PCOS), inflammation, and cancer remain controversial.
AIMS
This study aimed to compare serum levels of IL-10 and IL-11 and gene expression of IL-10, IL-11, COX-2, BCL6, ZEB1, and ZEB2 in PBMCs of women with PCOS and healthy controls.
METHODS
A case-control study included 40 women with PCOS as the case group and 40 healthy women as controls. Group matching for age and BMI was performed. Serum levels of IL-10 and IL-11 were assessed using ELISA, while gene expression was measured using real-time PCR. Parameters were compared between groups, and correlations among gene expression and serum levels were explored.
RESULTS
In comparison to healthy women, women with PCOS exhibited a significant decrease in the expression of COX-2 and IL-10 genes (p<0.001), alongside a significant increase in ZEB2 gene expression (p<0.001). There were no significant differences observed in the expression of IL-11, BCL6, and ZEB1 genes. Furthermore, the serum level of IL-10 was significantly lower in women with PCOS compared to the control group (p<0.001), while no significant difference was found in IL-11 levels. Additionally, no significant correlations were identified between gene expression and serum levels.
CONCLUSION
In women with PCOS, reduced IL-10 gene expression may indicate inflammation and serve as a diagnostic biomarker. However, conflicting findings on COX-2 expression complicate understanding. Elevated ZEB2 expression in PCOS women may lead to infertility, epithelial-mesenchymal transition, and aggressive phenotypes.
PubMed: 38941927
DOI: 10.1016/j.jri.2024.104281 -
International Immunopharmacology Jun 2024Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder associated with insulin resistance (IR) and hyperandrogenaemia (HA). Metabolic inflammation (MI),... (Review)
Review
Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder associated with insulin resistance (IR) and hyperandrogenaemia (HA). Metabolic inflammation (MI), characterized by a chronic low-grade inflammatory state, is intimately linked with chronic metabolic diseases such as IR and diabetes and is also considered an essential factor in the development of PCOS. Insulin-like growth factor 1 (IGF-1) plays an essential role in PCOS pathogenesis through its multiple functions in regulating cell proliferation metabolic processes and reducing inflammatory responses. This review summarizes the molecular mechanisms by which IGF-1, via MI, participates in the onset and progression of PCOS, aiming to provide insights for studies and clinical treatment of PCOS.
PubMed: 38941670
DOI: 10.1016/j.intimp.2024.112529 -
JMIR Public Health and Surveillance Jun 2024Globally, over 39% of individuals are obese. Metabolic syndrome, usually accompanied by obesity, is regarded as a major contributor to noncommunicable diseases. Given...
BACKGROUND
Globally, over 39% of individuals are obese. Metabolic syndrome, usually accompanied by obesity, is regarded as a major contributor to noncommunicable diseases. Given this relationship, the concepts of metabolically healthy and unhealthy obesity, considering metabolic status, have been evolving. Attention is being directed to metabolically healthy people with obesity who have relatively low transition rates to noncommunicable diseases. As obesity rates continue to rise and unhealthy behaviors prevail among young adults, there is a growing need for obesity management that considers these metabolic statuses. A nomogram can be used as an effective tool to predict the risk of transitioning to metabolically unhealthy obesity from a metabolically healthy status.
OBJECTIVE
The study aimed to identify demographic factors, health behaviors, and 5 metabolic statuses related to the transition from metabolically healthy obesity to unhealthy obesity among people aged between 20 and 44 years and to develop a screening tool to predict this transition.
METHODS
This secondary analysis study used national health data from the National Health Insurance System in South Korea. We analyzed the customized data using SAS (SAS Institute Inc) and conducted logistic regression to identify factors related to the transition from metabolically healthy to unhealthy obesity. A nomogram was developed to predict the transition using the identified factors.
RESULTS
Among 3,351,989 people, there was a significant association between the transition from metabolically healthy to unhealthy obesity and general characteristics, health behaviors, and metabolic components. Male participants showed a 1.30 higher odds ratio for transitioning to metabolically unhealthy obesity than female participants, and people in the lowest economic status were also at risk for the transition (odds ratio 1.08, 95% CI 1.05-1.1). Smoking status, consuming >30 g of alcohol, and insufficient regular exercise were negatively associated with the transition. Each relevant variable was assigned a point value. When the nomogram total points reached 295, the shift from metabolically healthy to unhealthy obesity had a prediction rate of >50%.
CONCLUSIONS
This study identified key factors for young adults transitioning from healthy to unhealthy obesity, creating a predictive nomogram. This nomogram, including triglycerides, waist circumference, high-density lipoprotein-cholesterol, blood pressure, and fasting glucose, allows easy assessment of obesity risk even for the general population. This tool simplifies predictions amid rising obesity rates and interventions.
Topics: Humans; Republic of Korea; Male; Female; Adult; Young Adult; Obesity, Metabolically Benign; Metabolic Syndrome; Nomograms; Obesity; Health Behavior; Risk Factors
PubMed: 38941611
DOI: 10.2196/52103 -
ASAIO Journal (American Society For... Jul 2024
PubMed: 38941486
DOI: 10.1097/MAT.0000000000002261 -
PloS One 2024The study of non-communicable diseases (NCDs) in a developing country like Thailand has rarely been conducted in long-term cohorts, especially among the working-age...
Metabolic and genetic risk factors associated with pre-diabetes and type 2 diabetes in Thai healthcare employees: A long-term study from the Siriraj Health (SIH) cohort study.
BACKGROUND
The study of non-communicable diseases (NCDs) in a developing country like Thailand has rarely been conducted in long-term cohorts, especially among the working-age population. We aim to assess the prevalence and incidence of risk factors and their associations underlying NCDs, especially type-2 diabetes mellitus (T2DM) among healthcare workers enrolled in the Siriraj Health (SIH) study cohort.
METHODS
The SIH study was designed as a longitudinal cohort and conducted at Siriraj hospital, Thailand. A total of 5,011 participants (77% women) were recruited and follow-up. Physical examinations, blood biochemical analyses, family history assessments, behavior evaluations, and genetics factors were assessed.
RESULTS
The average age was 35.44±8.24 years and 51% of participants were overweight and obese. We observed that men were more likely to have a prevalence of T2DM and dyslipidemia (DLP) compared to women. Aging was significantly associated with pre-diabetes and T2DM (P<0.001). Additionally, aging, metabolic syndrome, and elevated triglycerides were associated with the development of pre-diabetes and T2DM. The minor T allele of the rs7903146(C/T) and rs4506565 (A/T) were associated with a high risk of developing pre-diabetes with odds ratios of 2.74 (95% confidence interval [CI]: 0.32-23.3) and 2.71 (95% CI: 0.32-23.07), respectively; however, these associations were statistically insignificant (P>0.05).
CONCLUSION
The findings of the SIH study provide a comprehensive understanding of the health status, risk factors, and genetic factors related to T2DM in a specific working population and highlight areas for further research and intervention to address the growing burden of T2DM and NCDs.
Topics: Humans; Diabetes Mellitus, Type 2; Male; Female; Thailand; Adult; Risk Factors; Health Personnel; Middle Aged; Prediabetic State; Longitudinal Studies; Prevalence; Genetic Predisposition to Disease; Cohort Studies; Metabolic Syndrome; Polymorphism, Single Nucleotide; Southeast Asian People
PubMed: 38941315
DOI: 10.1371/journal.pone.0303085 -
Revista de La Facultad de Ciencias... Jun 2024Introducción: El síndrome metabólico (SM) está asociado a un incremento del riesgo cardiovascular. Los donantes de sangre son una población aparentemente sana en...
UNLABELLED
Introducción: El síndrome metabólico (SM) está asociado a un incremento del riesgo cardiovascular. Los donantes de sangre son una población aparentemente sana en donde ciertas características cardiometabolicas no son evaluadas en su selección, existiendo limitada información sobre su presencia.
OBJETIVO
Determinar la frecuencia de síndrome metabólico y sus características metabólicas en donantes de sangre. Materiales y métodos: Estudio transversal realizado en 244 donantes de sangre entre 18 y 55 años que acudieron al Servicio de Hemoterapia y Banco de sangre del Hospital Cayetano Heredia en Lima- Perú, durante el mes de mayo del 2023. Se realizó el diagnóstico de SM según los criterios del Adult Treatment Panel III (ATP III). Se realizó un análisis bivariado entre el SM y características metabólicas con el sexo y se consideró un nivel de significancia del 5%.
RESULTADOS
El 63.9% de los donantes de sangre fueron del sexo masculino. El 43.6 % de la población presentó SM. Las características más frecuentes fueron la hipertrigliceridemia (54.5%), obesidad abdominal (51.2%) y lipoproteina de alta densidad (HDL) bajo (48.8%). El rango de edad de 40 a 49 años presentó la mayor frecuencia de SM (14.3%). La hipertrigliceridemia y presión arterial elevada estuvieron asociadas al sexo masculino (p=0.003 y p=0.019 respectivamente), mientras que el HDL bajo al sexo femenino (p <0.001).
CONCLUSIONES
Los donantes de sangre presentan una frecuencia elevada de SM. La detección de SM en poblaciones aparentemente sanas como parte de la atención primaria podría permitir formular estrategias de detección temprana de factores de riesgo cardiovascular.
Topics: Humans; Metabolic Syndrome; Male; Female; Blood Donors; Adult; Cross-Sectional Studies; Middle Aged; Young Adult; Adolescent; Peru; Risk Factors; Obesity, Abdominal; Sex Factors; Sex Distribution
PubMed: 38941225
DOI: 10.31053/1853.0605.v81.n2.42446 -
The Journal of Clinical Endocrinology... Jun 2024Selye described stress as a unified neurohormonal mechanism maintaining homeostasis. Acute stress system activation is adaptive through neurocognitive,...
Selye described stress as a unified neurohormonal mechanism maintaining homeostasis. Acute stress system activation is adaptive through neurocognitive, catecholaminergic, and immunomodulation mechanisms, followed by a reset via cortisol. Stress system components, the sympathoadrenomedullary system, hypothalamic-pituitary-adrenal axis, and limbic structures are implicated in many chronic diseases by establishing an altered homeostatic state, allostasis. Consequent "primary stress system disorders" were popularly accepted, with phenotypes based on conditions such as Cushing syndrome, pheochromocytoma, and adrenal insufficiency. Cardiometabolic and major depressive disorders are candidates for hypercortisolemic etiology, contrasting the "hypocortisolemic symptom triad" of stress sensitivity, chronic fatigue, and pain. However, acceptance of chronic stress etiology requires cause-and-effect associations, and practical utility such as therapeutics altering stress system function. Inherent predispositions to stress system perturbations may be relevant. Glucocorticoid receptor (GR) variants have been associated with metabolic/neuropsychological states. The SERPINA6 gene encoding corticosteroid-binding globulin (CBG), was the sole genetic factor in a single-nucleotide variation-genome-wide association study linkage study of morning plasma cortisol, a risk factor for cardiovascular disease, with alterations in tissue-specific GR-related gene expression. Studies showed genetically predicted high cortisol concentrations are associated with hypertension and anxiety, and low CBG concentrations/binding affinity, with the hypocortisolemic triad. Acquired CBG deficiency in septic shock results in 3-fold higher mortality when hydrocortisone administration produces equivocal results, consistent with CBG's role in spatiotemporal cortisol delivery. We propose some stress system disorders result from constitutional stress system variants rather than stressors themselves. Altered CBG:cortisol buffering may influence interstitial cortisol ultradian surges leading to pathological tissue effects, an example of stress system variants contributing to stress-related disorders.
PubMed: 38941154
DOI: 10.1210/clinem/dgae412 -
Dermatology and Therapy Jun 2024Psoriasis, a chronic inflammatory skin condition, affects approximately 3.0% of the US population, with patients often experiencing significant sleep disturbances. These...
INTRODUCTION
Psoriasis, a chronic inflammatory skin condition, affects approximately 3.0% of the US population, with patients often experiencing significant sleep disturbances. These disturbances include a higher prevalence of conditions such as obstructive sleep apnea, restless leg syndrome, and insomnia. Given the additional risks for cardiovascular disease, metabolic disorders, and depression linked to both poor sleep and psoriasis, addressing sleep issues in this patient group is critical.
METHODS
The study utilized National Health and Nutrition Examination Survey (NHANES) data, focusing on individuals aged ≥ 20 years who provided information on psoriasis status and sleep. Multistage stratified survey methodology was applied, with multivariable logistic regression models used to examine the association between psoriasis and sleep issues, adjusting for factors such as age, gender, and health history.
RESULTS
Psoriasis diagnosis was significantly associated with trouble sleeping (adjusted odds ratio [aOR] 1.88; 95% confidence interval [CI] 1.44-2.45). There was no significant association between psoriasis and sleep quantity. Older age, female gender, and a history of sleep disorders were predictors of trouble sleeping among psoriasis patients.
CONCLUSIONS
Psoriasis is significantly associated with sleep disturbances, independent of sleep duration. This underscores the need for clinical screening focusing on sleep quality rather than quantity in psoriasis patients to effectively identify and treat sleep-related comorbidities. Further research using objective sleep measures is warranted to guide clinical management and improve patient quality of life.
PubMed: 38940897
DOI: 10.1007/s13555-024-01211-2 -
Metabolomics : Official Journal of the... Jun 2024Burkitt lymphoma (BL) is an aggressive non-Hodgkin lymphoma associated with Plasmodium falciparum and Epstein-Barr virus, both of which affect metabolic pathways. The...
INTRODUCTION
Burkitt lymphoma (BL) is an aggressive non-Hodgkin lymphoma associated with Plasmodium falciparum and Epstein-Barr virus, both of which affect metabolic pathways. The metabolomic patterns of BL is unknown.
MATERIALS AND METHODS
We measured 627 metabolites in pre-chemotherapy treatment plasma samples from 25 male children (6-11 years) with BL and 25 cancer-free area- and age-frequency-matched male controls from the Epidemiology of Burkitt Lymphoma in East African Children and Minors study in Uganda using liquid chromatography-tandem mass spectrometry. Unconditional, age-adjusted logistic regression analysis was used to estimate odds ratios (ORs) and their 95% confidence intervals (CIs) for the BL association with 1-standard deviation increase in the log-metabolite concentration, adjusting for multiple comparisons using false discovery rate (FDR) thresholds and Bonferroni correction.
RESULTS
Compared to controls, levels for 42 metabolite concentrations differed in BL cases (FDR < 0.001), including triacylglyceride (18:0_38:6), alpha-aminobutyric acid (AABA), ceramide (d18:1/20:0), phosphatidylcholine ae C40:6 and phosphatidylcholine C38:6 as the top signals associated with BL (ORs = 6.9 to 14.7, P < 2.4✕10). Two metabolites (triacylglyceride (18:0_38:6) and AABA) selected using stepwise logistic regression discriminated BL cases from controls with an area under the curve of 0.97 (95% CI: 0.94, 1.00).
CONCLUSION
Our findings warrant further examination of plasma metabolites as potential biomarkers for BL risk/diagnosis.
Topics: Humans; Burkitt Lymphoma; Child; Uganda; Male; Case-Control Studies; Metabolomics; Metabolome; Female
PubMed: 38940866
DOI: 10.1007/s11306-024-02130-1 -
Bioinformatics (Oxford, England) Jun 2024The emergence of COVID-19 (C19) created incredible worldwide challenges but offers unique opportunities to understand the physiology of its risk factors and their...
MOTIVATION
The emergence of COVID-19 (C19) created incredible worldwide challenges but offers unique opportunities to understand the physiology of its risk factors and their interactions with complex disease conditions, such as metabolic syndrome. To address the challenges of discovering clinically relevant interactions, we employed a unique approach for epidemiological analysis powered by redescription-based topological data analysis (RTDA).
RESULTS
Here, RTDA was applied to Explorys data to discover associations among severe C19 and metabolic syndrome. This approach was able to further explore the probative value of drug prescriptions to capture the involvement of RAAS and hypertension with C19, as well as modification of risk factor impact by hyperlipidemia (HL) on severe C19. RTDA found higher-order relationships between RAAS pathway and severe C19 along with demographic variables of age, gender, and comorbidities such as obesity, statin prescriptions, HL, chronic kidney failure, and disproportionately affecting Black individuals. RTDA combined with CuNA (cumulant-based network analysis) yielded a higher-order interaction network derived from cumulants that furthered supported the central role that RAAS plays. TDA techniques can provide a novel outlook beyond typical logistic regressions in epidemiology. From an observational cohort of electronic medical records, it can find out how RAAS drugs interact with comorbidities, such as hypertension and HL, of patients with severe bouts of C19. Where single variable association tests with outcome can struggle, TDA's higher-order interaction network between different variables enables the discovery of the comorbidities of a disease such as C19 work in concert.
AVAILABILITY AND IMPLEMENTATION
Code for performing TDA/RTDA is available in https://github.com/IBM/Matilda and code for CuNA can be found in https://github.com/BiomedSciAI/Geno4SD/.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
Topics: Humans; Metabolic Syndrome; COVID-19; Renin-Angiotensin System; Hyperlipidemias; Male; Female; SARS-CoV-2; Middle Aged; Aged; Comorbidity; Hypertension; Risk Factors
PubMed: 38940159
DOI: 10.1093/bioinformatics/btae235