Genome scan for adiposity in Dutch dyslipidemic families reveals novel quantitative trait loci for leptin, body mass index and soluble tumor necrosis factor receptor superfamily 1A

OBJECTIVE: To search for novel genes contributing to adiposity in familial combined hyperlipidemia (FCH), a disorder characterized by abdominal obesity, hyperlipidemia and insulin resistance, using a 10cM genome-wide scan. DESIGN: Plasma leptin and soluble tumor necrosis factor receptor superfamily members 1A and 1B (sTNFRSF1A and sTNFRSF1B, also known as sTNFR1 and sTNFR2) were analyzed as unadjusted and adjusted quantitative phenotypes of adiposity, in addition to body mass index (BMI), in multipoint and single-point analyses. In the second stage of analysis, an important chromosome 1 positional candidate gene, the leptin receptor (LEPR), was studied. SUBJECTS: Eighteen Dutch pedigrees with familial combined hyperlipidemia (FCH) (n= 198) were analyzed to search for chromosomal regions harboring genes contributing to adiposity. RESULTS: Multipoint analysis of the genome scan data identified linkage (log of odds, LOD, 3.4) of leptin levels to a chromosomal region defined by D1S3728 and D1S1665, flanking the leptin receptor (LEPR) gene by approximately 9 and 3 cM, respectively. The LOD score decreased to 1.8 with age- and gender-adjusted leptin levels. Notably, BMI also mapped to this region with an LOD score of 1.2 (adjusted BMI: LOD 0.5). Two polymorphic DNA markers in LEPR and their haplotypes revealed linkage to unadjusted and adjusted BMI and leptin, and an association with leptin levels was found as well. In addition, the marker D8S1110 showed linkage (LOD 2.8) with unadjusted plasma concentrations of soluble TNFRSF1A. BMI gave a LOD score of 0.6. Moreover, a chromosome 10 q-ter locus, AFM198ZB, showed linkage with adjusted BMI (LOD 3.3). CONCLUSION: These data provide evidence that a human chromosome 1 locus, harboring the LEPR gene, contributes to plasma leptin concentrations, adiposity and body weight in humans affected with this insulin resistant dyslipidemic syndrome. Novel loci on chromosome 8 and 10 qter need further study.     

Establishing a common metric for self-reported pain: linking BPI Pain Interference and SF-36 Bodily Pain Subscale scores to the PROMIS Pain Interference metric

Purpose

The study purposes were to mathematically link scores of the Brief Pain Inventory Pain Interference Subscale and the Short Form-36 Bodily Pain Subscale (legacy pain interference measures) to the NIH Patient-Reported Outcome Measurement Information System (PROMIS^®) Pain Interference (PROMIS-PI) metric and evaluate results.

Methods

Linking was accomplished using both equipercentile and item response theory (IRT) methods. Item parameters for legacy items were estimated on the PROMIS-PI metric to allow for pattern scoring. Crosswalk tables also were developed that associated raw scores (summed or average) on legacy measures to PROMIS-PI scores. For each linking strategy, participants’ actual PROMIS-PI scores were compared to those predicted based on their legacy scores. To assess the impact of different sample sizes, we conducted random resampling with replacement across 10,000 replications with sample sizes of n = 25, 50, and 75.

Results

Analyses supported the assumption that all three scales were measuring similar constructs. IRT methods produced marginally better results than equipercentile linking. Accuracy of the links was substantially affected by sample size.

Conclusions

The linking tools (crosswalks and item parameter estimates) developed in this study are robust methods for estimating the PROMIS-PI scores of samples based on legacy measures. We recommend using pattern scoring for users who have the necessary software and score crosswalks for those who do not.

     

Vital Signs: Estimated Effects of a Coordinated Approach for Action to Reduce Antibiotic-Resistant Infections in Health Care Facilities — United States

BackgroundTreatments for health care–associated infections (HAIs) caused by antibiotic-resistant bacteria and Clostridium difficile are limited, and some patients have developed untreatable infections. Evidence-supported interventions are available, but coordinated approaches to interrupt the spread of HAIs could have a greater impact on reversing the increasing incidence of these infections than independent facility-based program efforts.MethodsData from CDC’s National Healthcare Safety Network and Emerging Infections Program were analyzed to project the number of health care–associated infections from antibiotic-resistant bacteria or C. difficile both with and without a large scale national intervention that would include interrupting transmission and improved antibiotic stewardship. As an example, the impact of reducing transmission of one antibiotic-resistant infection (carbapenem-resistant Enterobacteriaceae [CRE]) on cumulative prevalence and number of HAI transmission events within interconnected groups of health care facilities was modeled using two distinct approaches, a large scale and a smaller scale health care network.ResultsImmediate nationwide infection control and antibiotic stewardship interventions, over 5 years, could avert an estimated 619,000 HAIs resulting from CRE, multidrug-resistant Pseudomonas aeruginosa, invasive methicillin-resistant Staphylococcus aureus (MRSA), or C. difficile. Compared with independent efforts, a coordinated response to prevent CRE spread across a group of inter-connected health care facilities resulted in a cumulative 74% reduction in acquisitions over 5 years in a 10-facility network model, and 55% reduction over 15 years in a 102-facility network model.ConclusionsWith effective action now, more than half a million antibiotic-resistant health care–associated infections could be prevented over 5 years. Models representing both large and small groups of interconnected health care facilities illustrate that a coordinated approach to interrupting transmission is more effective than historical independent facility-based efforts.Implications for Public HealthPublic health–led coordinated prevention approaches have the potential to more completely address the emergence and dissemination of these antibiotic-resistant organisms and C. difficile than independent facility–based efforts.     

Blood type predicts live birth in the infertile population

Purpose

To determine if blood type in infertile women relates to the likelihood for live birth (LB) following IVF, and to the etiology for infertility.

Methods

Retrospective study of patients undergoing IVF at two academic centers in the northeast US. Relationships between blood type (A, B, AB, O) and patient characteristics, IVF cycle parameters and LB were assessed utilizing multivariable logistic regression analyses.

Results

In the studied population (n = 626), women with type O were significantly more likely to have baseline FSH > 10 IU/L after adjusting for age, BMI and race (OR 5.09, 95 % CI 1.4–18.7, p = 0.01). Conversely, women with blood type A were significantly more likely to have ovulatory infertility compared to those with blood type O after adjusting for age and BMI (OR 3.2, 95 % CI 1.7–6.2). Blood type B was associated with increased likelihood of live birth (OR 1.9, 95 % CI 1.10–3.41, p = 0.03) after adjusting for factors recognized to impact IVF outcome.

Conclusion

Ovulatory infertility and baseline FSH > 10 IU/L were more prevalent in women with blood type A and O respectively. However, those of blood type B had significantly higher odds for LB compared to other blood types after adjusting for factors recognized to impact on IVF cycle outcome. While underlying mechanisms are unclear, for infertile women, patient’s blood type is seemingly relevant for IVF cycle outcome.     

Low-grade inflammation and insulin resistance independently explain substantial parts of the association between body fat and serum C3: The CODAM study

ObjectiveTo investigate the role of low-grade inflammation and insulin resistance (HOMA2-IR) in adiposity-related increases in serum complement factor 3 (C3). Although C3 has been linked to type 2 diabetes and cardiovascular diseases, and C3 levels are closely related to body fat, the underlying mechanisms explaining this association are still unknown.MethodsAdiposity measures (including BMI, waist circumference (WC), sagittal diameter and several skinfolds), HOMA2-IR and markers of inflammation (hs-CRP, IL-6, SAA, haptoglobin, ceruloplasmin, sICAM-1) were determined in 532 individuals (62% men, mean age 59 ± 6.9 yrs) from the Cohort on Diabetes and Atherosclerosis Maastricht study. Markers of inflammation were standardized and compiled into an averaged inflammation score. Cross-sectional associations between adiposity measures and C3 and the mediating role of low-grade inflammation and/or HOMA2-IR herein were analysed with multiple linear regression models.ResultsAdiposity measurements were significantly associated with C3 levels, with the strongest (adjusted) associations found for WC (β = 0.383; 95%CI 0.302–0.464) and sagittal diameter (β = 0.412; 95%CI 0.333-0.490). Further adjustment for inflammation and HOMA2-IR attenuated these associations to β = 0.115 (95%CI 0.030-0.200) and β = 0.163 (95%CI 0.082-0.244) respectively. Multiple mediation analyses showed that inflammation [β = 0.090 (95%CI 0.060–0.126)] and HOMA2-IR [β = 0.179 (95%CI 0.128–0.236)] each explained, independently of one another, a significant portion of the association between WC and C3 (23% and 47%, respectively). Similar mediation by inflammation (19-27%) and HOMA2-IR (37-56%) was found for other adiposity measures.ConclusionSystemic low-grade inflammation and insulin resistance may represent two independent pathways by which body fat leads to elevated C3 levels.     

Malnutrition,learning, and behavior

This paper critically reviews the reported relationships between malnutrition and learning. Since malnutrition is not randomly distributed in the social system, the relationships between malnutrition and intellectual development are often confounded by the relationship between social class and malnutrition. The psychological consequences of malnutrition which have been reported are similar to those for social isolation among infants, and isolation may be a confounding factor in the development of infants hospitalized for malnutrition. The older malnourished child may be cut off from important learning opportunities, both by lack of energy to pay attention to these opportunities and by living in settings in which the opportunities do not exist. He may acquire a self concept and be responded to by others in ways which further inhibit his development. While few data exist on the effects of hunger, they may be similar to those of malnutrition. In addition, because those who are hungry are stigmatized, others may treat the child labeled “hungry” in ways which prevent his adequate social and psychological development.     

English-Spanish Equivalence of the Health Literacy Assessment Using Talking Touchscreen Technology (Health LiTT)

Unbiased measurement instruments are needed to reliably estimate health literacy in diverse populations. The study aimed (a) to evaluate measurement equivalence of Health Literacy Assessment Using Talking Touchscreen Technology (Health LiTT) and (b) to compare Health LiTT scores between English- and Spanish-speaking individuals. Health LiTT and several patient-reported outcome instruments were completed by adult patients receiving care for type 2 diabetes at a safety net clinic. English-Spanish measurement equivalence was evaluated with an item response theory approach to differential item functioning (DIF) detection and impact. Health LiTT scores were compared by language using multivariable linear regression. Approximately equal numbers of English-speaking patients (n = 146) and Spanish-speaking patients (n = 149) with type 2 diabetes were enrolled. English participants were primarily non-Hispanic Black (65%); all Spanish participants were Hispanic. Six Health LiTT items were flagged for DIF. The Pearson correlation between unadjusted and DIF adjusted scores was 0.995; the mean difference of individual difference scores was 0.0005 (SD = 0.0888). After adjusting for predisposing characteristics, enabling resources and need for care, Health LiTT scores were comparable for Spanish-speaking individuals versus English-speaking individuals. The effect of DIF items on Health LiTT scores appeared to be trivial. English-Spanish equivalence of Health LiTT will permit researchers to determine the independent effects of limited English proficiency and limited literacy.