Examining Relations Between Obsessive-Compulsive Features,Substance-Use Disorders,and Antisocial Personality Disorder in the Vietnam Era Twin Cohort

Classes of obsessive-compulsive features differing both quantitatively and qualitatively have been linked to gambling disorder. This secondary data analysis sought to extend this line of investigation to examine the extent to which previously reported latent obsessive-compulsive classes may relate to externalizing conditions in a sample of 1675 twin male veterans recruited and surveyed for studies of gambling behaviors/disorder. Using latent class analysis and multivariate regression, we found that participants who reported the highest levels of obsessive-compulsive features were more likely to meet criteria for cannabis abuse and dependence and antisocial personality disorder. When adjusting for co-occurring disorders, the relationship with antisocial personality disorder remained significant whereas those for cannabis use disorders did not. These results highlight the potential utility of considering obsessive-compulsive features within a transdiagnostic framework and suggest that specific externalizing disorders have important links to obsessive-compulsive features. Future research is needed to extend these findings to other samples.

     

Selective breeding in domestic dogs: How selecting for a short face impacted canine neuroanatomy

The range of cranial morphology seen in domestic dogs (Canis lupus familiaris) is a direct result of thousands of years of selective breeding. This article is the first to investigate how selection for reduced faces in brachycephalic dogs impacted the neuroanatomy of the canine brain through the analysis of endocasts. Previous research has demonstrated global effects on the shape of the bony cranium as the result of these breeding practices; however, these studies have largely focused on the bony structures of the skull and failed to consider the influence of facial reduction on the soft tissues of the brain. We generated endocasts from an existing set of clinically-obtained CT scans representing a variety of dogs with various cranial morphologies. These dogs represented four breeds as well as a comparative sample of dogs of unknown breed. We recorded three-dimensional coordinate data for 31 landmarks representing various gyri, sulci, and other neuroanatomical landmarks that allowed us to analyze differences in shape of the endocasts. Through geometric morphometric analyses, we determined that the endocast shape variance in this sample is correlated with cephalic index, and thus the selection for facial reduction has caused a perceivable effect on canine neuroanatomy. Additionally, we found the majority of the shape variance in the sample to be associated with olfactory anatomy; however, the rest of the morphology also correlates with cephalic index. The results of this article indicate that modern breeding practices and the selection for dogs with short faces have significantly influenced canine neuroanatomy.     

Efficacy of a Work Disability Prevention Program for People with Rheumatic and Musculoskeletal Conditions: A Single‐Blind Parallel‐Arm Randomized Controlled Trial

Objective

Work disability rates are high among people with rheumatic and musculoskeletal conditions. Effective disability preventive programs are needed. We examined the efficacy of a modified vocational rehabilitation approach delivered by trained occupational therapists and physical therapists on work limitation and work loss over 2 years among people with rheumatic and musculoskeletal conditions.

Methods

Eligibility criteria for this single‐blind, parallel‐arm randomized trial included ages 21–65 years, 15 or more hours/week employment, a self‐reported doctor‐diagnosed rheumatic or musculoskeletal condition, and concern about staying employed. The intervention consisted of a 1.5‐hour meeting, an action plan, written materials on employment supports, and telephone calls at 3 weeks and 3 months. Control group participants received the written materials. The primary outcome was the Work Limitations Questionnaire (WLQ) output job demand subscale. The secondary outcome was work loss. Intent‐to‐treat analyses were performed.

Results

Between October 2011 and January 2014, 652 individuals were assessed for eligibility. A total of 287 participants were randomized: 143 intervention and 144 control participants. In total, 264 participants (92%) completed 2‐year data collection. There was no difference in the mean ± SD WLQ change scores from baseline to 2‐year followup (?8.6 ± 1.9 intervention versus ?8.3 ± 2.2 control; P = 0.93). Of the 36 participants who experienced permanent work loss at 2 years, 11 (8%) were intervention participants and 25 (18%) control participants (P = 0.03).

Conclusion

The intervention did not have an effect on work limitations but reduced work loss. The intervention can be delivered by trained rehabilitation therapists.

     

ULTRASOUND IMAGING MEASUREMENT OF THE TRANSVERSUS ABDOMINIS IN SUPINE,STANDING, AND UNDER LOADING: A RELIABILITY STUDY OF NOVICE EXAMINERS

Background

Military personnel and first responders (police and firefighters) often carry large amounts of gear. This increased load can negatively affect posture and lead to back pain. The ability to quantitatively measure muscle thickness under loading would be valuable to clinicians to assess the effectiveness of core stabilization treatment programs and could aid in return to work decisions. Ultrasound imaging (USI) has the potential to provide such a measure, but to be useful it must be reliable.

Purpose

To assess the intrarater and interrater reliability of measurements of transversus abdominis (TrA) and internal oblique (IO) muscle thickness conducted by novice examiners using USI in supine, standing, and with an axial load.

Study Design

Prospective, test‐retest study

Methods

Healthy, active duty military (N=33) personnel were examined by two physical therapy doctoral students (primary and secondary ultrasound technicians) without prior experience in USI. Thickness measurements of the TrA and IO muscles were performed at rest and during a contraction to preferentially activate the TrA in three positions (hook‐lying, standing, and standing with body armor). Percent thickness changes and intraclass correlation coefficients (ICC) were calculated.

Results

Using the mean of three measurements for each of the three positions in resting and contracted muscle states, the intrarater ICC (3,3) values ranged from 0.90 to 0.98. The interrater ICC (2,1) values ranged from 0.39 to 0.79. The ICC values of percent thickness changes were lower than the individual ICC values for all positions and muscle states.

Conclusion

There is excellent intrarater reliability of novice ultrasound technicians measuring abdominal muscle thickness using USI in three positions during the resting and contracted muscle states. However, interrater reliability of two novice technicians was poor to fair, so additional training and experience may be necessary to improve reliability.

Level of Evidence

2b     

Interactions between QnrB,QnrB Mutants,and DNA Gyrase

Plasmid-encoded protein QnrB1 protects DNA gyrase from ciprofloxacin inhibition. Using a bacterial two-hybrid system, we evaluated the physical interactions between wild-type and mutant QnrB1, the GyrA and GyrB gyrase subunits, and a GyrBA fusion protein. The interaction of QnrB1 with GyrB and GyrBA was approximately 10-fold higher than that with GyrA, suggesting that domains of GyrB are important for stabilizing QnrB1 interaction with the holoenzyme. Sub-MICs of ciprofloxacin or nalidixic acid reduced the interactions between QnrB1 and GyrA or GyrBA but produced no reduction in the interaction with GyrB or a quinolone-resistant GyrA:S83L (GyrA with S83L substitution) mutant, suggesting that quinolones and QnrB1 compete for binding to gyrase. Of QnrB1 mutants that reduced quinolone resistance, deletions in the C or N terminus of QnrB1 resulted in a marked decrease in interactions with GyrA but limited or no effect on interactions with GyrB and an intermediate effect on interactions with GyrBA. While deletion of loop B and both loops moderately reduced the interaction signal with GyrA, deletion of loop A resulted in only a small reduction in the interaction with GyrB. The loop A deletion also caused a substantial reduction in interaction with GyrBA, with little effect of loop B and dual-loop deletions. Single-amino-acid loop mutations had little effect on physical interactions except for a Δ105I mutant. Therefore, loops A and B may play key roles in the proper positioning of QnrB1 rather than as determinants of the physical interaction of QnrB1 with gyrase.     

A genetic method for dating ancient genomes provides a direct estimate of human generation interval in the last 45,000 years

The study of human evolution has been revolutionized by inferences from ancient DNA analyses. Key to these studies is the reliable estimation of the age of ancient specimens. High-resolution age estimates can often be obtained using radiocarbon dating, and, while precise and powerful, this method has some biases, making it of interest to directly use genetic data to infer a date for samples that have been sequenced. Here, we report a genetic method that uses the recombination clock. The idea is that an ancient genome has evolved less than the genomes of present-day individuals and thus has experienced fewer recombination events since the common ancestor. To implement this idea, we take advantage of the insight that all non-Africans have a common heritage of Neanderthal gene flow into their ancestors. Thus, we can estimate the date since Neanderthal admixture for present-day and ancient samples simultaneously and use the difference as a direct estimate of the ancient specimen’s age. We apply our method to date five Upper Paleolithic Eurasian genomes with radiocarbon dates between 12,000 and 45,000 y ago and show an excellent correlation of the genetic and ¹⁴C dates. By considering the slope of the correlation between the genetic dates, which are in units of generations, and the ¹⁴C dates, which are in units of years, we infer that the mean generation interval in humans over this period has been 26–30 y. Extensions of this methodology that use older shared events may be applicable for dating beyond the radiocarbon frontier.Ancient DNA analyses have transformed research into human evolutionary history, making it possible to directly observe genetic variation patterns that existed in the past, instead of having to infer them retrospectively (1). To interpret findings from an ancient specimen, it is important to have an accurate estimate of its age. The current gold standard is radiocarbon dating, which is applicable for estimating dates for samples up to 50,000 y old (2). This method is based on the principle that, when a living organism dies, the existing ¹⁴C starts decaying to ¹⁴N with a half-life of ∼5,730 y (3). By measuring the ratio of ¹⁴C to ¹²C in the sample and assuming that the starting ratio of carbon isotopes is the same everywhere in the biosphere, the age of the sample is inferred. A complication is that carbon isotope ratios vary among carbon reservoirs (e.g., marine, freshwater, atmosphere) and over time. Thus, ¹⁴C dates must be converted to calendar years using calibration curves based on other sources, including annual tree rings (dendrochronology) or uranium-series dating of coral (2). Such calibrations, however, may not fully capture the variation in atmospheric carbon. In addition, contamination of a sample by modern carbon, introduced during burial or by handling afterwards, can make a sample seem younger than it actually is (2). The problem is particularly acute for samples that antedate 30,000 y ago because they retain very little original ¹⁴C.Here, we describe a genetic approach for dating ancient samples, applicable in cases where DNA sequence data are available, as is becoming increasingly common (1). This method relies on the insight that an ancient genome has experienced fewer generations of evolution compared with the genomes of its living (i.e., extant) relatives. Because recombination occurs at an approximately constant rate per generation, the accumulated number of recombination events provides a molecular clock for the time elapsed or, in the case of an ancient sample, the number of missing generations since it ceased to evolve. This idea is referred to as “branch shortening” and estimates of missing evolution can be translated into absolute time in years by using an estimate of the mean age of reproduction (generation interval) or an independent calibration point such as human–ape divergence time.Branch shortening has been used in studies of population history, for inferring mutation rates, and for establishing time scales for phylogenic trees in humans and other species (4, 5). It was first applied for dating ancient samples on a genome-wide scale by Meyer et al. (6), who used the mutation clock (instead of the recombination clock as proposed here) to estimate the age of the Denisova finger bone, which is probably older than 50,000 y, and has not been successfully radiocarbon dated (6). Specifically, the authors compared the divergence between the Denisova and extant humans and calibrated the branch shortening relative to human–chimpanzee (HC) divergence time. The use of ape divergence time for calibration, however, relies on estimates of mutation rate that are uncertain (7). In particular, recent pedigree studies have yielded a yearly mutation rate that is approximately twofold lower than the one obtained from phylogenetic methods (7). In addition, comparison with HC divergence relies on branch-shortening estimates that are small relative to the total divergence of millions of years, so that even very low error rates in allele detection can bias estimates. These issues lead to substantial uncertainty in estimated age of the ancient samples, making this approach impractical for dating specimens that are tens of thousands of years old, a time period that encompasses the vast majority of ancient human samples sequenced to date.Given the challenges associated with the use of the mutation clock, here we explore the possibility of using a molecular clock based on the accumulation of crossover events (the recombination clock), which is measured with high precision in humans (8). In addition, instead of using a distant outgroup, such as chimpanzees, we rely on a more recent shared event that has affected both extant and ancient modern humans and is therefore a more reliable fixed point on which to base the dating. Previous studies have documented that most non-Africans derive 1–4% ancestry from Neanderthals from an admixture event that occurred ∼37,000–86,000 y before present (yBP) (9, 10), with some analyses proposing a second event (around the same time) into the ancestors of East Asians (11, 12). Because the vast majority of ancient samples sequenced to date were discovered in Eurasia (with estimated ages of ∼2,000–45,000 yBP), postdate the Neanderthal admixture, and show evidence of Neanderthal ancestry, we used the Neanderthal gene flow as the shared event.The idea of our method is to estimate the date of Neanderthal gene flow separately for the extant and ancient genomes. Because the ancient sample is closer in time to the shared Neanderthal admixture event, we expect that the inferred dates of Neanderthal admixture will be more recent in ancient genomes (by an amount that is directly determined by the sample’s age) compared with the dates in the extant genomes. The difference in the dates thus provides an estimate of the amount of missing evolution: that is, the age of the ancient sample. An illustration of the idea is shown in SI Appendix, Fig. S1. An assumption in our approach is that the Neanderthal admixture into the ancestors of modern humans occurred approximately at the same time and that the same interbreeding events contributed to the ancestry of all of the non-African samples being compared. Deviations from this model could lead to incorrect age estimates. Our method is not applicable for dating genomes that do not have substantial Neanderthal ancestry, such as sub-Saharan African genomes.To date the Neanderthal admixture event, we used the insight that gene flow between genetically distinct populations, such as Neanderthals and modern humans, introduces blocks of archaic ancestry into the modern human background that break down at an approximately constant rate per generation as crossovers occur (13–15). Thus, by jointly modeling the decay of Neanderthal ancestry and recombination rates across the genome, we can estimate the date of Neanderthal gene flow, measured in units of generations. Similar ideas have been used to estimate the time of admixture events between contemporary human populations (14–16), as well as between Eurasians and Neanderthals (9, 17). An important feature of our method is that it is expected to give more precise results for samples that are older because these samples are closer in time to the Neanderthal introgression event, thus it is easier to accurately estimate the time of the admixture event for them. Thus, unlike ¹⁴C dating, the genetic approach becomes more reliable with age and, in that regard, complements ¹⁴C dating.     

Alternatives assessment and informed substitution: A global landscape assessment of drivers,methods, policies and needs

There are increasing policy and market drivers for removing chemicals of concern from manufacturing processes and products. These drivers have centered primarily on developed countries. However, global activities through the United Nations, individual countries, and advocacy organizations are increasing concerns about chemical impacts in developing countries and economies in transition as well. While reducing the use of chemicals of concern is a primary goal, eliminating such substances without thoughtful consideration for their replacements can lead to regrettable substitutions. Against this backdrop there is growing attention to the identification, assessment, and adoption of safer chemicals, as well as product and process design alternatives. Informed substitution is a critical chemical risk management approach, focused on an intentional transition from chemicals of high concern to chemicals and technological processes of lower concern. Alternatives assessment, an interactive, step-defined process, has emerged as a critical approach to support informed substitution. Over the past decade, a number of tools, approaches, and case examples of alternatives assessment and informed substitution have emerged. Policies and practical experience have followed, improving the landscape of alternatives assessment and informed substitution. This article provides an assessment of the state-of-practice of both alternatives assessment and informed substitution methods, policies, and practices. We identify key needs and actions that can be taken by various stakeholder groups moving forward to advance the field. We conclude that there is a critical need for multi-stakeholder, multi-disciplinary collaboration at a global level to build capacity and support networks that can ensure the growth and success of informed substitution efforts in the future.