Risk Of Syndrome Research Articles

The pregnancy outcomes among women receiving individualized algorithm dosing with follitropin delta: a systematic review of randomized controlled trials.

To investigate whether the ovarian stimulation with follitropin delta in an individualized algorithm-based manner is inferior to recombinant human-follicle stimulating's follitropin alfa or follitropin beta conventional dosing regarding a series of established primary endpoints. We conducted a registered systematic review (CRD42024512792) on PubMed-MEDLINE, Web of Science™, Cochrane Database of Systematic Reviews, and Scopus. Our search was designed to cover all relevant literature, particularly randomized controlled trials. We critically and comparatively analyzed the outcomes for each primary endpoint based on the intervention, reflected by the positive βhCG test, clinical pregnancy, vital pregnancy, ongoing pregnancy, live birth, live birth at 4 weeks, and multiple pregnancies. Six randomized controlled trials were included in the quality assessment as priority manuscripts, revealing an 83.3% low risk of bias. Follitropin delta led to non-significant differences in each parameter of interest from positive βhCG test (691; 53.44% vs. 602; 46.55%), ongoing pregnancies (603; 53.79% vs. 518; 46.20%), clinical and vital pregnancies (1,073; 52.80% vs. 959; 47.19%), to live birth and at 4 weeks (595; 54.14% vs. 504; 45.85%) with only 2 losses, and even multiple pregnancies (8; 66.66% vs. 4; 33.33%). However, follitropin delta was well-tolerated among hypo- and hyper-responders without significant risk of ovarian hyperstimulation syndrome and/or preventive interventions in contrast with follitropin alfa or follitropin beta. The personalized individualized-based algorithm dosing with follitropin delta is non-inferior to conventional follitropin alfa or follitropin beta. It is as effective in promoting a similar response in women without significant comparable adverse effects.

Effects of dietary fiber on maternal health in pregnant women with metabolic syndrome risk: a randomized controlled trial.

Metabolic Syndrome (MetS) during pregnancy can lead to complications such as gestational diabetes mellitus (GDM) and hypertensive disorders. In this study, we sought to examine the influence of dietary fiber, from both food sources and soluble fiber supplementation, on the metabolic health and overall pregnancy outcomes of women at high risk of MetS. We conducted a randomized controlled trial involving 376 women between 11 and 13 weeks of gestation. To evaluate dietary fiber intake, we performed an exhaustive dietary component analysis using a food frequency questionnaire. Additionally, the participants in the intervention group received daily soluble fiber supplements until delivery. All participants underwent nutritional consultations and metabolic health assessments at three distinct stages of pregnancy (GW 11-13, GW 24-26, and GW 32-34). Our findings revealed a significant correlation between insufficient dietary fiber intake and an increased risk of GDM, even after adjusting for variables such as maternal age and pre-pregnancy BMI. We also noted that a high total dietary fiber intake was associated with reduced changes in triglyceride levels. In addition, the intervention group showed lower need for constipation medication, and soluble fiber supplementation may offer potential benefits for GDM patients. Importantly, our study verified the safety of long-term soluble fiber supplementation during pregnancy. Our results underscore the importance of adequate fiber intake, particularly from dietary sources, for the metabolic health of pregnant women. Moreover, our findings suggest that early fiber supplementation may benefit pregnant women experiencing constipation or those diagnosed with GDM.

Clinical Characteristics and Outcomes of Disseminated Strongyloidiasis in the United States-A Multicenter Network Analysis.

Human strongyloidiasis is a potentially life-threatening parasitic disease among immunocompromised hosts. We aim to determine the factors and mortality associated with disseminated strongyloidiasis. We conducted a U.S.-based multicenter retrospective cohort study to determine 90-day clinical outcomes for people diagnosed with Strongyloides infection in the TriNetX patient database. We identified adult patients with the International Classification of Diseases (10th revision, clinical modification) code for Strongyloides infection (B78) or a positive Strongyloides IgG antibody test and captured outcomes at 90 days. We identified 5,434 patients with strongyloidiasis, of whom 48 had disseminated strongyloidiasis for 0.9% prevalence of disseminated disease. Systemic connective tissue disorders, pulmonary eosinophilia, liver cirrhosis, blood disorders (monoclonal gammopathy, aplastic anemia, and lymphoid malignancy), malnutrition, alcohol use disorder, and transplantation status were frequent in patients with disseminated disease. Mortality was significantly higher in people with disseminated disease at 30 days (21%). The 90-day risk of hospitalization, bacteremia, and acute respiratory distress syndrome (ARDS) was higher in those with disseminated infection. People with disseminated strongyloidiasis had a heightened risk of hospitalization, bacteremia, acute respiratory distress syndrome, and mortality. The population at risk for severe strongyloidiasis infection is evolving, reflecting conditions in which glucocorticoids or additional immunosuppressive medications are commonly used for treatment.

RNA modifications in the progression of liver diseases: from fatty liver to cancer.

Non-alcoholic fatty liver disease (NAFLD) has emerged as a prominent global health concern associated with high risk of metabolic syndrome, and has impacted a substantial segment of the population. The disease spectrum ranges from simple fatty liver to non-alcoholic steatohepatitis (NASH), which can progress to cirrhosis and hepatocellular carcinoma (HCC) and is increasingly becoming a prevalent indication for liver transplantation. The existing therapeutic options for NAFLD, NASH, and HCC are limited, underscoring the urgent need for innovative treatment strategies. Insights into gene expression, particularly RNA modifications such as N6 methyladenosine (m6A), hold promising avenues for interventions. These modifications play integral roles in RNA metabolism and cellular functions, encompassing the entire NAFLD-NASH-HCC progression. This review will encompass recent insights on diverse RNA modifications, including m6A, pseudouridine (ψ), N1-methyladenosine (m1A), and 5-methylcytidine (m5C) across various RNA species. It will uncover their significance in crucial aspects such as steatosis, inflammation, fibrosis, and tumorigenesis. Furthermore, prospective research directions and therapeutic implications will be explored, advancing our comprehensive understanding of the intricate interconnected nature of these pathological conditions.

Polycystic ovary syndrome and cardiovascular risk profile

Polycystic ovary syndrome and cardiovascular risk profile

Correlation between remnant cholesterol and hyperuricemia in patients with type 2 diabetes mellitus: a cross-sectional study

BackgroundRemnant cholesterol (RC) has been known as an important factor for the assessment of the metabolic syndrome (Mets) risk. However, the correlation between RC and hyperuricemia (HUA) in type 2 diabetes mellitus (T2DM) remains unclear. This study aims to explore the correlation between RC and HUA in patients with T2DM.MethodsA total of 2956 patients with T2DM admitted to the Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University from 2020 to 2022 were included. The correlation between RC and HUA was evaluated with Spearman’s correlation, multiple logistic regression, subgroup analyses, receiver operating characteristic (ROC) curves analyses and generalized smooth curve fitting. Total cholesterol (TC) < 5.18mmol/L was defined as normal TC.ResultsRC was correlated with uric acid in patients with T2DM (Spearman’s correlation coefficient = 0.279, P < 0.001). According to the multiple logistic regression analyses, there was an independent positive correlation between RC and HUA (OR = 1.63, 95%CI = 1.40, 1.90). In addition, a non-linear correlation between RC and HUA was identified. The area under the ROC curve (AUC) of RC (0.658, 95%CI = 0.635, 0.681) was the largest compared with those of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and TC. Subgroup analyses showed a more significant positive correlation among females or normal TC groups.ConclusionElevated RC is correlated with HUA in patients with T2DM significantly and positively. RC is better in its predictability for HUA than that of conventional lipid indexes.

The Acute Coronary Syndrome Risk in Medically Managed Subjects with Type 2 Diabetes Mellitus: Is the ASCVD Risk Score Failing Here?

The Acute Coronary Syndrome Risk in Medically Managed Subjects with Type 2 Diabetes Mellitus: Is the ASCVD Risk Score Failing Here?

Sex differences in electrolyte abnormalities indicating refeeding syndrome risk among hospitalized adolescents and young adults with eating disorders

BackgroundRefeeding syndrome is the gravest possible medical complication in malnourished patients undergoing refeeding in the hospital. We previously reported that males with malnutrition secondary to eating disorders required more calories and had longer hospital stays than females; however, sex differences in electrolyte abnormalities indicating refeeding syndrome risk remain unknown. The objective of this study was to assess differences in electrolyte abnormalities indicating refeeding syndrome risk among male and female adolescents and young adults with eating disorders hospitalized for medical instability.MethodsWe retrospectively reviewed the electronic medical records of 558 patients aged 9–25 years admitted to the University of California, San Francisco Eating Disorders Program for medical instability between May 2012 and August 2020. Serum was drawn per standard of care between 5 and 7 am each morning and electrolyte abnormalities indicating refeeding syndrome risk were defined as: hypophosphatemia (< 3.0 mg/dL), hypokalemia (< 3.5 mEq/L), and hypomagnesemia (< 1.8 mg/dL). Logistic regression was used to assess factors associated with electrolyte abnormalities indicating refeeding syndrome risk.ResultsParticipants included 86 (15.4%) males and 472 (84.6%) females, mean (SD) age 15.5 (2.8) years. Rates of refeeding hypophosphatemia (3.5%), hypokalemia (8.1%), and hypomagnesemia (11.6%) in males hospitalized with eating disorders were low, with no statistically significant differences from females. Older age was associated with higher odds of refeeding hypophosphatemia and hypomagnesemia. Lower percent median body mass index and greater weight suppression at admission were associated with higher odds of refeeding hypophosphatemia.ConclusionsRates of electrolyte abnormalities indicating refeeding syndrome risk were low in males hospitalized for eating disorders and rates did not significantly differ from females. Together with our finding that males have higher caloric requirements and longer hospital length of stay, the finding that electrolyte abnormalities indicating refeeding syndrome risk were not greater in males than females supports future research to evaluate the safety and efficacy of higher calorie and/or faster advancing refeeding protocols for males.

Association between physical activity and risk of premenstrual syndrome among female college students: a systematic review and meta-analysis

BackgroundThis study aimed to analyze the relationship between physical activity and the risk of premenstrual syndrome among college students.MethodsEligible studies were searched from the PubMed, Web of Science, and Embase databases. The link between physical activity and the risk of premenstrual syndrome was evaluated using odds ratio (OR) and 95% confidence interval (CI). The heterogeneity of the included studies was tested and their sources were explored by subgroup analysis. A sensitivity analysis was performed to assess the effect of a single study on the pooled results. The included studies were evaluated for publication bias. Five moderate-quality studies were included in this meta-analysis.ResultsPhysical activity levels were negatively associated with risk of premenstrual syndrome among college students (OR [95%CI] = 1.46 [1.09, 1.96], P = .011). The pooled results were not influenced after being stratified by the study region and whether multi-factor correction was performed or not. Publication bias was not observed in the included studies.ConclusionA high level of physical activity is dramatically associated with a reduced risk of premenstrual syndrome among female college students.

#1605 Development of an app for a science-based prescription of haemodialysis

Abstract Background and Aims The delivery of an adequate haemodialysis (HD) dose (i.e., a target single-pool Kt/V (spKt/V) of 1.4 per session) is often challenging, especially in patients with huge urea distribution volumes (V). On the other hand, patients with an extremely small V, such as children, are at higher risk of disequilibrium syndrome, which is caused by an excessive or overly rapid correction of urea levels, particularly during the first HD session. The treatment prescription often neglects many elements contributing to the final delivered HD dose, whereas a systematic and comprehensive evaluation of all adjustable parameters could improve the management of patients, not only facilitating the achievement of treatment goals, but also avoiding short- and long-term complications. We aimed at developing a web app capable of predicting the delivered HD dose, given a wide range of parameters, and using renowned kinetic equations relevant to urea clearance in HD. Method The platform used to develop our app is based on Angular, an open-source framework to develop web applications. Specifically, it can be used to realise single-page apps and it is only for frontend. This fits our case, since a backend is not required due to the absence of huge databases or complex operations. The application is grounded on a stepper component, a paradigm to guide the user step-by-step during the data entry process. It consists of three phases, namely (1) patient, (2) haemodialyser, (3) target spKt/V. The last section is also for output. A modification of any input triggers a real-time output change. Results We developed a free access user-friendly web app, through which HD professionals can simulate a treatment prescription and obtain an estimate of the delivered dose in terms of spKt/V. The app is structured in three sections and all calculations are based on validated formulas and kinetic equations applicable to HD: The output “expected spKt/V” changes in real time, after any modification of the input parameters. The result can thus be compared to the treatment goal (i.e., 1.4 for a standard HD session; 0.55 for a first treatment, aiming at reducing the risk of disequilibrium syndrome), as suggested by international guidelines and expert opinions. Conclusion We developed a user-friendly web app, which will be freely accessible online by HD professionals, aimed at predicting the delivered HD dose (spKt/V) considering a wide range of patient- and prescription-related parameters. The application of such a tool in everyday clinical practice, particularly in cases requiring a more accurate definition of the actual delivered dose, could improve the management of patients through a personalisation of the treatment. This could enhance prescription adjustments aimed at achieving an adequate spKt/V in patients receiving an insufficient HD dose; on the other hand, it could help preventing disequilibrium syndrome in patients with very small urea distribution volumes.

Association between Sleep Duration, Social Jetlag, and the Metabolic Syndrome by Shift Works

Lifestyle factors, including sleep characteristics, have been implicated in the development of metabolic syndrome, particularly among shift workers. This study aimed to explore the relationship between shift work, sleep duration, social jetlag, and the risk of metabolic syndrome among U.S. workers and the moderating effect of sleep duration and social jetlag on this relationship. Data from the National Health and Nutrition Examination Survey (NHANES) in 2017–2020 March were analyzed. Poisson regression models were employed to examine associations. Among 4136 U.S. workers, 53.3% had metabolic syndrome, with a higher proportion of shift workers (63.8% vs. 56.7%, p = 0.001) and those sleeping less than 6 h or more than 9 h per week (22.3% vs. 19.1%, p = 0.044) in the affected group. Shift workers were initially found to have an increased risk of metabolic syndrome (Coef. = 0.03, 95% CI: 0.02, 0.16); however, this association was mitigated when accounting for the interaction with social jetlag. Specifically, 1 to &lt;2 h of social jetlag interacted significantly, increasing metabolic risk (Coef. = 0.15, 95% CI: 0.09, 0.22), whereas 1 to &lt;2 h alone showed a protective effect (Coef. = −0.11, 95% CI: −0.17, −0.06). These findings suggest that optimizing sleep schedules and addressing social jetlag may be crucial in mitigating metabolic syndrome risks among shift workers.

Prenatal Exposure to Chemical Mixtures and Metabolic Syndrome Risk in Children

Prenatal exposure to ubiquitous endocrine-disrupting chemicals (EDCs) may increase the risk of metabolic syndrome (MetS) in children, but few studies have studied chemical mixtures or explored underlying protein and metabolic signatures. To investigate associations of prenatal exposure to EDC mixtures with MetS risk score in children and identify associated proteins and metabolites. This population-based, birth cohort study used data collected between April 1, 2003, and February 26, 2016, from the Human Early Life Exposome cohort based in France, Greece, Lithuania, Norway, Spain, and the UK. Eligible participants included mother-child pairs with measured prenatal EDC exposures and complete data on childhood MetS risk factors, proteins, and metabolites. Data were analyzed between October 2022 and July 2023. Nine metals, 3 organochlorine pesticides, 5 polychlorinated biphenyls, 2 polybrominated diphenyl ethers (PBDEs), 5 perfluoroalkyl substances (PFAS), 10 phthalate metabolites, 3 phenols, 4 parabens, and 4 organophosphate pesticide metabolites measured in urine and blood samples collected during pregnancy. At 6 to 11 years of age, a composite MetS risk score was constructed using z scores of waist circumference, systolic and diastolic blood pressures, triglycerides, high-density lipoprotein cholesterol, and insulin levels. Childhood levels of 44 urinary metabolites, 177 serum metabolites, and 35 plasma proteins were quantified using targeted methods. Associations were assessed using bayesian weighted quantile sum regressions applied to mixtures for each chemical group. The study included 1134 mothers (mean [SD] age at birth, 30.7 [4.9] years) and their children (mean [SD] age, 7.8 [1.5] years; 617 male children [54.4%] and 517 female children [45.6%]; mean [SD] MetS risk score, -0.1 [2.3]). MetS score increased per 1-quartile increase of the mixture for metals (β = 0.44; 95% credible interval [CrI], 0.30 to 0.59), organochlorine pesticides (β = 0.22; 95% CrI, 0.15 to 0.29), PBDEs (β = 0.17; 95% CrI, 0.06 to 0.27), and PFAS (β = 0.19; 95% CrI, 0.14 to 0.24). High-molecular weight phthalate mixtures (β = -0.07; 95% CrI, -0.10 to -0.04) and low-molecular weight phthalate mixtures (β = -0.13; 95% CrI, -0.18 to -0.08) were associated with a decreased MetS score. Most EDC mixtures were associated with elevated proinflammatory proteins, amino acids, and altered glycerophospholipids, which in turn were associated with increased MetS score. This cohort study suggests that prenatal exposure to EDC mixtures may be associated with adverse metabolic health in children. Given the pervasive nature of EDCs and the increase in MetS, these findings hold substantial public health implications.

Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS)

BackgroundMetabolic syndrome (MetS) is a cluster of risk factors related to diabetes and cardiovascular disease (CVD). Given that early identification of MetS might decrease CVD risk, it is imperative to establish a simple and cost-effective method to identify individuals at risk of MetS. The purpose of this study was to explore the relationships between several atherogenic indices (including AIP, TyG index, non-HDL-C, LDL-c/HDL-c, and TC/HDL-c) and MetS, and to assess the ability of these indices to predict MetS.MethodsThe present cross-sectional study was conducted using baseline data from 9809 participants of the Hoveyzeh Cohort Study (HCS). MetS was defined based on the International Diabetes Federation (IDF). To examine the discriminatory abilities of each atherogenic indices in the identification of MetS, a receiver-operating characteristic curve was conducted. Logistic regression analysis was also performed to evaluate the relationship between atherogenic indices and MetS.ResultsAll of the atherogenic indices including the TyG index, AIP, non-HDL-C, TC/HDL-c, and LDL-c/HDL-c were significantly higher in participants with MetS than in those without MetS. According to the ROC curve analysis, the TyG index revealed the highest area under the curve (0.79 and 0.85 in men and women, respectively), followed by the AIP (0.76 and 0.83 in men and women, respectively). The best cutoff values for the TyG index and AIP were 8.96 and 0.16 for men and 8.84 and 0.05 for women, respectively. The TyG index and AIP were also strongly associated with MetS.ConclusionAmong the 5 atherogenic indices evaluated, the TyG index and AIP were strongly related to MetS. The TyG index also demonstrated superior discriminative ability compared to other atherogenic indices in predicting MetS.

#83 Cardiovascular outcomes in home hemodialysis and peritoneal dialysis patients

Abstract Background and Aims Cardiovascular disease is the leading cause of morbidity and mortality in patients with end-stage kidney disease. Little is known about differences in cardiovascular outcomes between home hemodialysis (HHD) and peritoneal dialysis (PD). Methods We evaluated 68 645 patients who initiated home dialysis between 1/1/2005 and 12/31/2018 using the United States Renal Data System with linked Medicare claims. Rates for incident cardiovascular events of acute coronary syndrome, heart failure, and stroke hospitalizations were determined. Using adjusted time-to-event models, the associations of type of home dialysis modality with the outcomes of incident cardiovascular events, cardiovascular death, and all-cause death were examined. Results The mean age of patients in the study cohort was 64 ± 15 years, and 42.3% were women. Mean time of follow up was 1.8 ± 1.6 years. The unadjusted cardiovascular event rate was 95.1 per thousand person-years [PTPY] (95% CI, 93.6-96.8), with a higher rate in patients on HHD than on PD (127.8 PTPY; 95% CI, 118.9-137.2 vs. 93.3 PTPY; 95% CI, 91.5-95.1). However, HHD was associated with a slightly lower adjusted risk of cardiovascular events than PD (HR, 0.92; 95% CI, 0.85 to 0.997). Compared to PD patients, HHD patients had 42% lower adjusted risk of stroke (HR, 0.58; 95% CI, 0.48-0.71), 17% lower adjusted risk of acute coronary syndrome (HR, 0.83; 95% CI, 0.72-0.95), and no difference in risk of heart failure (HR, 1.05; 95% CI, 0.94-1.16). HHD was associated with 22% lower adjusted risk of cardiovascular death (HR, 0.78; 95% CI, 0.71-0.86) and 8% lower adjusted risk of all-cause death (HR, 0.92; 95% CI, 0.87-0.97) as compared to PD. Conclusion Relative to PD, HHD is associated with decreased risk of stroke, acute coronary syndrome, cardiovascular death, and all-cause death. Further studies are needed to better understand the factors associated with differences in cardiovascular outcomes by type of home dialysis modality in patients with kidney failure.

Comparison of stimulation protocols for dose determination of gonadotropins: A systematic review and Bayesian network meta-analysis based on randomized controlled trials.

To date, evidence regarding the effectiveness and safety of individualized controlled ovarian stimulation (COS) compared with standard dose COS has been inadequate. To evaluate the updated evidence from published randomized controlled trials (RCTs) about the efficacy and safety of individualized COS with different ovarian reserve test biomarkers or clinical experience versus standard dose COS. Terms and descriptors related to COS, individualized or standard, and RCT were combined to search, and only English language studies were included. Conference abstracts and comments were excluded. RCTs with comparison between different individualized COS strategies and standard starting dose strategy were included. Two reviews independently assessed the eligibility of retrieved citations in a predefined standardized manner. Relative risk (RRs) and the weighted mean difference (WMD) with 95% confidence intervals (CIs) were pooled using a random-effects model on R software version 4.2.2. Compared with the standard dose COS strategy in pairwise meta-analysis, the individualized COS strategy was associated with a notable lower risk of ovarian hyperstimulation syndrome (OHSS; 174/2384 [7.30%] vs 114/2412 [4.73%], RR 0.66, 95% CI: 0.47-0.93, I2 = 46%), a significantly lower risk of hyperresponse to stimulation (hyperresponse; 476/2402 [19.82%] vs 331/2437 [13.58%], RR 0.71, 95% CI: 0.57-0.90, I2 = 61%), and a slightly longer ovarian stimulation days (duration of stimulation; WMD 0.20, 95% CI: 0.01-0.40, I2 = 66%). Bayesian network meta-analysis also found that biomarker-tailored strategy had a significantly lower risk of OHSS than standard dose strategy (OHSS; RR 0.63, 95% CI: 0.41-0.97, I2 = 47.5%). Compared with standard dose COS strategy, individualized COS strategy could significantly reduce the risks of OHSS and hyperresponse to stimulation, but the duration of stimulation was slightly longer. PROSPERO: CRD42023358439.

Genetic prediction of the relationship between metabolic syndrome and colorectal cancer risk: a Mendelian randomization study

BackgroundDespite a growing body of observational studies indicating a potential link between metabolic syndrome and colorectal cancer, a definitive causal relationship has yet to be established. This study aimed to elucidate the causal relationship between metabolic syndrome and colorectal cancer through Mendelian randomization.MethodsWe screened for instrumental variables associated with metabolic syndrome and its diagnostic components and with colorectal cancer through the use of a genome-wide association study database, and conducted a preliminary Mendelian randomization analysis. To corroborate the dependability of our conclusions, an additional dataset was used for replication analysis in a Mendelian randomization method, which was further integrated with a meta-analysis.ResultsPreliminary analysis using the inverse variance weighted method revealed positive correlations between metabolic syndrome (OR [95% CI] = 1.37[1.15–1.63], P = 5.02 × 10–4) and waist circumference (OR [95% CI] = 1.39[1.21–1.61], P = 7.38 × 10–6) and the risk of colorectal cancer. Replication analysis also revealed the same results: metabolic syndrome (OR [95% CI] = 1.24[1.02–1.51], P = 0.030) and waist circumference (OR [95% CI] = 1.23[1.05–1.45], P = 0.013). The meta-analysis results further confirmed the associations between metabolic syndrome (OR [95% CI] = 1.31[1.15–1.49], P < 0.001) and waist circumference (OR [95% CI] = 1.32[1.18–1.47], P < 0.001) and colorectal cancer.ConclusionOur study indicated that metabolic syndrome increases the risk of CRC, particularly in patients with abdominal obesity.

C-reactive protein to albumin ratio and risk of incident metabolic syndrome in community-dwelling adults: longitudinal findings over a 12-year follow-up period.

The C-reactive protein to albumin (CRP/Alb) ratio has emerged as a novel biomarker for various inflammatory diseases. This study aimed to evaluate the association between the CRP/Alb ratio and incident metabolic syndrome (MetS) with a large-sample, community-based Korean cohort over a 12-year follow-up period. Among 10,030 participants, a total of 6205 participants aged 40-69 years without MetS were selected from the Korean Genome and Epidemiology Study (KoGES). The baseline CRP/Alb ratio was divided into quartiles. The definition of newly developed MetS was the one proposed by the 2009 Joint Interim Statement of Circulation. Hazard ratios (HRs) with 95% confidence intervals (CIs) for incident MetS were calculated using multivariable Cox proportional hazards regression models after adjusting for potentially confounding variables. During the 12-year follow-up period, MetS developed in 2535 subjects (40.9%, 2535/6205) with an incidence rate of 5.6-11.9 (over 2 years). Compared to the reference first quartiles, the HRs (95% CIs) of incident MetS in the second, third, and fourth quartiles increased in a dose-response manner. Compared to the reference quartile, the HRs (95% CIs) of the incidence of MetS for the second, third, and fourth quartiles of CRP/Alb ratio were 1.12 (0.99-1.27), 1.24 (1.11-1.40), and 1.51 (1.34-1.69) after adjusting for age, sex, smoking status, alcohol intake, physical activity, total cholesterol, mean arterial pressure, HOMA-IR, and total energy intake. High CRP/Alb ratio at baseline may be a useful surrogate indicator of future incident MetS.

Elevated thyroid stimulating hormone and metabolic syndrome risk in patients with first-episode and drug-naïve major depressive disorder: a large-scale cross-sectional study

BackgroundMetabolic syndrome (MetS) is common in major depressive disorder (MDD), but its relationship with thyroid hormones remains unclear. We aimed to examine the association of thyroid hormones and MetS in first-episode drug-naïve (FEDN) MDD patients.MethodsWe recruited 1718 unmedicated MDD patients in this cross-sectional study. MetS was defined based on the 2004 Chinese Diabetes Society Criteria. Serum thyroid hormones including free thyroxine (FT4), free triiodothyronine (FT3), thyroid-stimulating hormone (TSH), thyroid peroxidase antibodies (TPOAb), and anti-thyroglobulin (TGAb) were examined. We used the logistic regression model to determine risk factors for MetS and examined the performance of the regression model by using the Area Under the Curve (AUC). In addition, we performed the trend test to test whether the results were robust.ResultsThe prevalence of MetS in unmedicated MDD patients was 34.4%. MDD patients with MetS had higher levels of serum TSH, TGAb, and TPOAb (all P < 0.001). Concurrently, serum TSH levels were independent risk factors for MetS in MDD patients (OR:1.49, 95%CI: 1.40–1.58), which could also distinguish MDD patients with and without MetS (AUC was 0.77). Additionally, in the trend test, the results also indicated a similar trend when TSH was used as a categorical variable (P for trend < 0.001).ConclusionsThis study suggests that TSH levels were independent risk factors for MetS in FEDN MDD patients (OR:1.49). The examination of thyroid function may contribute to the early detection of MetS.

Are middle-aged and older adult users of physical activity monitors more physically active and at a lower risk of locomotive syndrome? Cross-sectional Web-based Online Survey.

Physical inactivity is a risk factor for locomotive syndromes and functional limitations in middle-aged and older adults. Therefore, strategies to promote physical activity should be considered. This study investigated whether users of physical activity monitors were more physically active and exhibited a lower risk of locomotive syndrome, compared with non-users. We analyzed data from 742 Japanese adults aged 60-79 years. The participants were surveyed for their use of physical activity monitors in their daily lives. We also assessed the prevalence of locomotive syndrome. We observed significantly higher physical activity levels in users compared with non-users. Moreover, the use of a physical activity monitor was significantly associated with decreased odds of locomotive syndrome (adjusted odds ratio [aOR] = 0.48). Significantly lower risk of locomotive syndrome were observed in individuals who had used a monitor for >2 years (aOR = 0.42) or had set a personal step goal (aOR = 0.32). Physical activity monitoring may increase engagement in physical activity-associated behavior. Therefore, monitoring could serve as a useful tool to promote physical health in middle-aged and older adults.

Metabolic landscape and pathogenic insights: a comprehensive analysis of high ovarian response in infertile women undergoing in vitro fertilization.

In the realm of assisted reproduction, a subset of infertile patients demonstrates high ovarian response following controlled ovarian stimulation (COS), with approximately 29.7% facing the risk of Ovarian Hyperstimulation Syndrome (OHSS). Management of OHSS risk often necessitates embryo transfer cancellation, leading to delayed prospects of successful pregnancy and significant psychological distress. Regrettably, these patients have received limited research attention, particularly regarding their metabolic profile. In this study, we aim to utilize gas chromatography-mass spectrometry (GC-MS) to reveal these patients' unique serum metabolic profiles and provide insights into the disease's pathogenesis. We categorized 145 infertile women into two main groups: the CON infertility group from tubal infertility patients and the Polycystic Ovary Syndrome (PCOS) infertility group. Within these groups, we further subdivided them into four categories: patients with normal ovarian response (CON-NOR group), patients with high ovarian response and at risk for OHSS (CON-HOR group) within the CON group, as well as patients with normal ovarian response (PCOS-NOR group) and patients with high ovarian response and at risk for OHSS (PCOS-HOR group) within the PCOS group. Serum metabolic profiles were analyzed using GC-MS. The risk criteria for OHSS were: the number of developing follicles > 20, peak Estradiol (E2) > 4000pg/mL, and Anti-Müllerian Hormone (AMH) levels > 4.5ng/mL. The serum metabolomics analysis revealed four different metabolites within the CON group and 14 within the PCOS group. Remarkably, 10-pentadecenoic acid emerged as a discernible risk metabolite for the CON-HOR, also found to be a differential metabolite between CON-NOR and PCOS groups. cysteine and 5-methoxytryptamine were also identified as risk metabolites for the PCOS-HOR. Furthermore, KEGG analysis unveiled significant enrichment of the aminoacyl-tRNA biosynthesis pathway among the metabolites differing between PCOS-NOR and PCOS-HOR. Our study highlights significant metabolite differences between patients with normal ovarian response and those with high ovarian response and at risk for OHSS within both the tubal infertility control group and PCOS infertility group. Importantly, we observe metabolic similarities between patients with PCOS and those with a high ovarian response but without PCOS, suggesting potential parallels in their underlying causes.