The association between metabolic syndrome and Hepatitis C virus infection in the United States

Progress in understanding of association between metabolic associated fatty liver disease and viral infectious diseases

Metabolic associated fatty liver disease (MAFLD) is a chronic liver disease with the highest incidence in the world, which affects 1/4-1/3 of the world population and has a serious effect on people's health. As is a multi-systemic disease, MAFLD is closely related to the occurrence and prognosis of many diseases. Studies have shown that MAFLD is associated with viral infectious diseases, and their interaction affects the prognosis of the disease. This paper reviews the research progress in this field in recent years.

Association of Exposure to Phthalate Metabolites With Sex Hormones, Obesity, and Metabolic Syndrome in US Women

IMPORTANCE

Obesity and metabolic syndrome are highly prevalent among the US population and are associated with the dysregulation of sex hormones. An increase in obesity and metabolic syndrome may also be associated with exposure to phthalates. The association of exposure to phthalate metabolites with sex hormones and metabolic health has been understudied in the female population.

OBJECTIVE

To evaluate the association between exposure to common phthalate metabolites with total testosterone (TT) levels, sex hormone-binding globulin (SHBG) levels, obesity, and metabolic syndrome among women.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data collected from the National Health and Nutrition Examination Survey during 2013 to 2016. Female participants aged 15 years or older with urinary profiles containing common phthalate metabolites were included in this study. Statistical analyses were performed from March 15, 2021, to April 30, 2022.

EXPOSURES

Urinary concentrations of phthalate metabolites were classified into tertiles, and the lowest tertile was used as a reference category. The concentrations of phthalate metabolites and their composite scores based on clustering were also used in the analysis.

MAIN OUTCOMES AND MEASURES

Serum concentrations of TT and SHBG were dichotomized into high TT levels (>46 ng/dL [to convert to nanomoles per liter, multiply by 0.0347] for age <50 years and >32 ng/dL for age ≥50 years) and low SHBG levels (<2.85 μg/mL [to convert to nanomoles per liter, multiply by 10.53]) as established for the female population. Obesity was defined as a body mass index of 30 or more (calculated as weight in kilograms divided by height in meters squared), and metabolic syndrome was defined using the National Cholesterol Education Program criteria. The serum concentrations of TT and SHBG were also included in the validation analyses. Modified Poisson models were used to estimate the adjusted relative risk (RR) with 95% CIs for the associations.

RESULTS

Among the 2004 women included in this study, the mean (SD) age was 46.6 (18.5) years (14.7% Hispanic participants, 62.7% non-Hispanic White participants, and 13.2% non-Hispanic Black participants; 17.4% of participants were born outside the US [weighted percentages]; 230 (11.8%) had high TT levels, 210 (10.4%) had low SHBG levels, 825 (39.8%) had obesity, and 965 (45.5%) had metabolic syndrome (weighted percentages). Of the 13 phthalate metabolites, 8 had the highest tertile level greater than 6.2 ng/mL (range, 0.5-75.2 ng/mL). High levels of exposure to mono(2-ethyl-5-carboxypentyl) phthalate (RR, 1.84 [95% CI, 1.33-2.54]), mono(2-ethyl-5-oxohexyl) phthalate (RR, 1.77 [95% CI, 1.21-2.59]), mono(2-ethyl-5-hydroxyhexyl) phthalate (RR, 1.94 [95% CI, 1.34-2.81]), and monobenzyl phthalate (RR, 1.75 [95% CI, 1.21-2.54]) were associated with low SHBG levels but not with high TT levels. High levels of exposure to some of these metabolites were also associated with obesity and metabolic syndrome. Most associations were specific to premenopausal or postmenopausal women.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, exposure to certain phthalate metabolites could be associated with low SHBG levels, obesity, and metabolic syndrome depending on menopausal status.

How to write statistical analysis section in medical research

Reporting of statistical analysis is essential in any clinical and translational research study. However, medical research studies sometimes report statistical analysis that is either inappropriate or insufficient to attest to the accuracy and validity of findings and conclusions. Published works involving inaccurate statistical analyses and insufficient reporting influence the conduct of future scientific studies, including meta-analyses and medical decisions. Although the biostatistical practice has been improved over the years due to the involvement of statistical reviewers and collaborators in research studies, there remain areas of improvement for transparent reporting of the statistical analysis section in a study. Evidence-based biostatistics practice throughout the research is useful for generating reliable data and translating meaningful data to meaningful interpretation and decisions in medical research. Most existing research reporting guidelines do not provide guidance for reporting methods in the statistical analysis section that helps in evaluating the quality of findings and data interpretation. In this report, we highlight the global and critical steps to be reported in the statistical analysis of grants and research articles. We provide clarity and the importance of understanding study objective types, data generation process, effect size use, evidence-based biostatistical methods use, and development of statistical models through several thematic frameworks. We also provide published examples of adherence or non-adherence to methodological standards related to each step in the statistical analysis and their implications. We believe the suggestions provided in this report can have far-reaching implications for education and strengthening the quality of statistical reporting and biostatistical practice in medical research.

The Impact of Steatosis on Chronic Hepatitis C Progression and Response to Antiviral Treatments

Metabolic derangement is characteristic in patients with hepatitis C virus (HCV) infection. Aside from established liver injury, various extrahepatic metabolic disorders impact the natural history of the disease, clinical outcomes, and the efficacy of antiviral therapy. The presence of steatosis, recently redefined as metabolic-associated fatty liver disease (MAFLD), is a common feature in HCV-infected patients, induced by host and/or viral factors. Most chronic HCV-infected (CHC) patients have mild steatosis within the periportal region of the liver with an estimated prevalence of 40% to 86%. Indeed, this is higher than the 19% to 50% prevalence observed in patients with other chronic liver diseases such as chronic hepatitis B (CHB). The histological manifestations of HCV infection are frequently observed in genotype 3 (G-3), where relative to other genotypes, the prevalence and severity of steatosis is also increased. Steatosis may independently influence the treatment efficacy of either interferon-based or interferon-free antiviral regimens. This review aimed to provide updated evidence of the prevalence and risk factors behind HCV-associated steatosis, as well as explore the impact of steatosis on HCV-related outcomes.

Prevalence of at-risk hyperandrogenism by age and race/ethnicity among females in the United States using NHANES III

OBJECTIVE

Hyperandrogenism in females leads to multiple endocrine and metabolic disorders including polycystic ovary syndrome (PCOS) that yields adverse health outcomes across all ages. We sought to estimate the prevalence of hyperandrogenemia and at-risk hyperandrogenism among the US females of different age groups, racial/ethnic, and metabolic characteristics.

MATERIALS AND METHODS

A retrospective population-based cross-sectional study of females 6 years or older having serum testosterone measures using the National Health and Nutrition Examination Surveys, 2013-2016 was conducted. Age-appropriate thresholds as per assay methods were used for evaluating high total testosterone, low sex hormone binding globulin (SHBG), and high free androgen index (FAI) levels. The weighted analysis was performed to estimate prevalence and 95 % confidence interval (CI).

RESULTS

The prevalence of at-risk hyperandrogenism was estimated as 19.8 % (95 %CI: 18.6 %, 21.2 %) in the overall sample, 11.8 % (95 %CI: 9.5 %, 14.5 %) in prepubertal, 20.5 % (95 %CI: 18.9 %, 22.2 %) in premenopausal, and 21.1 % (95 %CI: 18.7 %-23.7 %) in postmenopausal females with considerable heterogeneity by racial/ethnic and metabolic characteristics. In the entire sample, hyperandrogenemia was estimated as 10.4 % and 4.3 % using total testosterone and FAI respectively while 10.7 % cases had a low SHBG.

CONCLUSIONS

At-risk hyperandrogenism is equally prevalent in premenopausal and postmenopausal women with a considerable amount in prepubertal females and varied by racial/ethnic groups depending on specific ages. Regular screening of hyperandrogenism using SHBG and total testosterone measures among at-risk subjects for specific ages is critical for treating and preventing adverse consequences of abnormal hormonal parameters.