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Functional impairment in daily activities, such as work and socializing, is part of the diagnostic criteria for major depressive disorder and most anxiety disorders. Despite evidence that symptom severity and functional impairment are partially distinct, functional impairment is often overlooked. To assess whether functional impairment captures diagnostically relevant genetic liability beyond that of symptoms, we aimed to estimate the heritability of, and genetic correlations between, key measures of current depression symptoms, anxiety symptoms, and functional impairment.
Methods
In 17,130 individuals with lifetime depression or anxiety from the Genetic Links to Anxiety and Depression (GLAD) Study, we analyzed total scores from the Patient Health Questionnaire-9 (depression symptoms), Generalized Anxiety Disorder-7 (anxiety symptoms), and Work and Social Adjustment Scale (functional impairment). Genome-wide association analyses were performed with REGENIE. Heritability was estimated using GCTA-GREML and genetic correlations with bivariate-GREML.
Results
The phenotypic correlations were moderate across the three measures (Pearson’s r = 0.50–0.69). All three scales were found to be under low but significant genetic influence (single-nucleotide polymorphism-based heritability [h2SNP] = 0.11–0.19) with high genetic correlations between them (rg = 0.79–0.87).
Conclusions
Among individuals with lifetime depression or anxiety from the GLAD Study, the genetic variants that underlie symptom severity largely overlap with those influencing functional impairment. This suggests that self-reported functional impairment, while clinically relevant for diagnosis and treatment outcomes, does not reflect substantial additional genetic liability beyond that captured by symptom-based measures of depression or anxiety.
Next-generation X-ray satellite telescopes such as XRISM, NewAthena and Lynx will enable observations of exotic astrophysical sources at unprecedented spectral and spatial resolution. Proper interpretation of these data demands that the accuracy of the models is at least within the uncertainty of the observations. One set of quantities that might not currently meet this requirement is transition energies of various astrophysically relevant ions. Current databases are populated with many untested theoretical calculations. Accurate laboratory benchmarks are required to better understand the coming data. We obtained laboratory spectra of X-ray lines from a silicon plasma at an average spectral resolving power of $\sim$7500 with a spherically bent crystal spectrometer on the Z facility at Sandia National Laboratories. Many of the lines in the data are measured here for the first time. We report measurements of 53 transitions originating from the K-shells of He-like to B-like silicon in the energy range between $\sim$1795 and 1880 eV (6.6–6.9 Å). The lines were identified by qualitative comparison against a full synthetic spectrum calculated with ATOMIC. The average fractional uncertainty (uncertainty/energy) for all reported lines is ${\sim}5.4 \times 10^{-5}$. We compare the measured quantities against transition energies calculated with RATS and FAC as well as those reported in the NIST ASD and XSTAR’s uaDB. Average absolute differences relative to experimentally measured values are 0.20, 0.32, 0.17 and 0.38 eV, respectively. All calculations/databases show good agreement with the experimental values; NIST ASD shows the closest match overall.
Poor iron status is one of the most prevalent problems facing infants worldwide, in both developing and developed countries(1). A complex interplay of both dietary and non-dietary factors affects iron intake, absorption, and requirements, and subsequently iron status(2). We aimed to describe iron status in an ethnically diverse cohort of urban-dwelling infants. Data were collected from 364 infants aged 7.0 to 10.0 months living in two main urban centres in New Zealand (Auckland and Dunedin) between July 2020 and February 2022. Participants were grouped by total ethnicity, with any participants who did not identify as either Māori or Pacific categorised into a single ‘others’ group. Haemoglobin, plasma ferritin, soluble transferrin receptor (sTfR), C-Reactive protein, and alpha-1-acid-glycoprotein were obtained from a non-fasting venous blood sample. Inflammation was adjusted for using the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anaemia (BRINDA) method(3). Body iron concentration (mg/kg body weight) was calculated using the ratio of sTfR and ferritin. A total of 96.3% of Pacific infants were iron sufficient, defined as body iron ≥0 mg/kg body weight and haemoglobin (Hb) ≥105 g/L, compared to 82.3% of Māori and 76.0% of ‘other’ (i.e. neither Māori nor Pacific) infants. ‘Other’ infants had the highest prevalence of iron deficiency overall, with 2.8% categorised with iron-deficiency anaemia (IDA) (body iron <0 mg/kg, haemoglobin <105 g/L), 11.8% with early ‘functional’ iron deficiency (body iron <0 mg/kg, haemoglobin ≥105 g/L), and 9.4% with iron depletion (ferritin <15 µg/L, in the absence of early ‘functional’ iron deficiency and iron deficiency anaemia). For Māori infants, 3.2% and 6.5% had IDA and early ‘functional’ iron deficiency respectively, and 8.1% were iron depleted. One (3.7%) Pacific infant was iron depleted, and the remainder were iron sufficient. Plasma ferritin and body iron concentration were, on average, higher in Pacific compared to non-Pacific infants. These findings give an up-to-date and robust understanding of the iron status of infants by ethnicity, highlighting an unexpected finding that infants who are neither Māori nor Pacific may be at higher risk of poor iron status in NZ.
Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.
Methods
T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).
Results
PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).
Conclusions
PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.
We compare the Emory 10-item, 4-choice Rey Complex Figure (CF) Recognition task with the Meyers and Lange (M&L) 24-item yes/no CF Recognition task in a large cohort of healthy research participants and in patients with heterogeneous movement disorder diagnoses. While both tasks assess CF recognition, they differ in key aspects including the saliency of target and distractor responses, self-selection versus forced-choice formats, and the length of the item sets.
Participants and Methods:
There were 1056 participants from the Emory Healthy Brain Study (EHBS; average MoCA = 26.8, SD = 2.4) and 223 movement disorder patients undergoing neuropsychological evaluation (average MoCA = 24.3, SD = 4.0).
Results:
Both recognition tasks differentiated between healthy and clinical groups; however, the Emory task demonstrated a larger effect size (Cohen’s d = 1.02) compared to the M&L task (Cohen’s d = 0.79). d-prime scoring of M&L recognition showed comparable group discrimination (Cohen’s d = 0.81). Unidimensional two-parameter logistic item response theory analysis revealed that many M&L items had low discrimination values and extreme difficulty parameters, which contributed to the task’s reduced sensitivity, particularly at lower cognitive proficiency levels relevant to clinical diagnosis. Dimensionality analyses indicated the influence of response sets as a potential contributor to poor item performance.
Conclusions:
Emory CF Recognition task demonstrates superior psychometric properties and greater sensitivity to cognitive impairment compared to the M&L task. Its ability to more precisely measure lower levels of cognitive functioning, along with its brevity, suggests it may be more effective for diagnostic use, especially in clinical populations with cognitive decline.
The impact of chronic pain and opioid use on cognitive decline and mild cognitive impairment (MCI) is unclear. We investigated these associations in early older adulthood, considering different definitions of chronic pain.
Methods:
Men in the Vietnam Era Twin Study of Aging (VETSA; n = 1,042) underwent cognitive testing and medical history interviews at average ages 56, 62, and 68. Chronic pain was defined using pain intensity and interference ratings from the SF-36 over 2 or 3 waves (categorized as mild versus moderate-to-severe). Opioid use was determined by self-reported medication use. Amnestic and non-amnestic MCI were assessed using the Jak-Bondi approach. Mixed models and Cox proportional hazards models were used to assess associations of pain and opioid use with cognitive decline and risk for MCI.
Results:
Moderate-to-severe, but not mild, chronic pain intensity (β = −.10) and interference (β = −.23) were associated with greater declines in executive function. Moderate-to-severe chronic pain intensity (HR = 1.75) and interference (HR = 3.31) were associated with a higher risk of non-amnestic MCI. Opioid use was associated with a faster decline in verbal fluency (β = −.18) and a higher risk of amnestic MCI (HR = 1.99). There were no significant interactions between chronic pain and opioid use on cognitive decline or MCI risk (all p-values > .05).
Discussion:
Moderate-to-severe chronic pain intensity and interference related to executive function decline and greater risk of non-amnestic MCI; while opioid use related to verbal fluency decline and greater risk of amnestic MCI. Lowering chronic pain severity while reducing opioid exposure may help clinicians mitigate later cognitive decline and dementia risk.
Temporal variability and methodological differences in data normalization, among other factors, complicate effective trend analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) wastewater surveillance data and its alignment with coronavirus disease 2019 (COVID-19) clinical outcomes. As there is no consensus approach for these analyses yet, this study explored the use of piecewise linear trend analysis (joinpoint regression) to identify significant trends and trend turning points in SARS-CoV-2 RNA wastewater concentrations (normalized and non-normalized) and corresponding COVID-19 case rates in the greater Las Vegas metropolitan area (Nevada, USA) from mid-2020 to April 2023. The analysis period was stratified into three distinct phases based on temporal changes in testing protocols, vaccination availability, SARS-CoV-2 variant prevalence, and public health interventions. While other statistical methodologies may require fewer parameter specifications, joinpoint regression provided an interpretable framework for characterization and comparison of trends and trend turning points, revealing sewershed-specific variations in trend magnitude and timing that also aligned with known variant-driven waves. Week-level trend agreement corroborated previous findings demonstrating a close relationship between SARS-CoV-2 wastewater surveillance data and COVID-19 outcomes. These findings guide future applications of advanced statistical methodologies and support the continued integration of wastewater-based epidemiology as a complementary approach to traditional COVID-19 surveillance systems.
Multiple sclerosis (MS) is characterized by focal inflammatory activity in the central nervous system and a diffuse, compartmentalized inflammation that is the primary driver of neuroaxonal damage and worsening disability. It is now recognized that higher-efficacy disease-modifying therapies (HE-DMT) are often required to treat the complex neuropathological changes that occur during the disease course and improve long-term outcomes. The optimal use of HE-DMTs in practice was addressed by a Canadian panel of 12 MS experts who used the Delphi method to develop 27 consensus recommendations. The HE-DMTs that were considered were the monoclonal antibodies (natalizumab, ocrelizumab, ofatumumab) and the immune reconstitution agents (alemtuzumab, cladribine). The issues addressed included defining aggressive/severe disease, patient selection of the most appropriate candidates for HE-DMTs, baseline investigations and efficacy monitoring, defining suboptimal treatment response, use of serum neurofilament-light chain in evaluating treatment response, safety monitoring, aging and immunosenescence and when to consider de-escalating or discontinuing treatment. The goals of the consensus recommendations were to provide guidelines to clinicians on their use of HE-DMTs in practice and to improve long-term outcomes in persons with MS.
Antibiotics overuse leads to bacterial resistance. The biomarker procalcitonin rises with bacterial pneumonias and remains normal in viral respiratory tract infections. Its use can distinguish between these etiologies and thus guide antibiotics use. We aimed to quantify the effect of procalcitonin use on clinical decision-making.
Design:
A retrospective study, spanning a year at a tertiary care center, where 348 patients hospitalized with aspiration pneumonia and 824 with non-aspiration pneumonia were evaluated with regards to procalcitonin use, the length of stay (LOS) and antibiotics prescribing practices. Descriptive statistics and univariate analyses were applied to the ensemble data. Subsets of cases were manually reviewed and analyzed with descriptive statistics. P < 0.05 indicated statistical significance.
Results:
21% of both the aspiration and non-aspiration pneumonia cases had procalcitonin checked. In the ensemble analyses, a check of procalcitonin was more likely to happen in prolonged hospitalizations with aspiration pneumonia. The LOS was statistically the same regardless of procalcitonin results (elevated or normal) for both the aspiration and non-aspiration pneumonia cohorts. The overall use of antibiotics was not affected by the procalcitonin results. After excluding two extreme outliers, the per-person antibiotics cost was not affected by the procalcitonin results. Detailed chart reviews of 33 cases revealed that for the vast majority, the procalcitonin results were not used by clinicians to guide the duration of antibiotics use.
Conclusions:
Despite its promise as a biomarker for antibiotics stewardship, procalcitonin results appeared to not be utilized by clinicians as a decision-making tool in the management of pneumonia.
It remains unclear which individuals with subthreshold depression benefit most from psychological intervention, and what long-term effects this has on symptom deterioration, response and remission.
Aims
To synthesise psychological intervention benefits in adults with subthreshold depression up to 2 years, and explore participant-level effect-modifiers.
Method
Randomised trials comparing psychological intervention with inactive control were identified via systematic search. Authors were contacted to obtain individual participant data (IPD), analysed using Bayesian one-stage meta-analysis. Treatment–covariate interactions were added to examine moderators. Hierarchical-additive models were used to explore treatment benefits conditional on baseline Patient Health Questionnaire 9 (PHQ-9) values.
Results
IPD of 10 671 individuals (50 studies) could be included. We found significant effects on depressive symptom severity up to 12 months (standardised mean-difference [s.m.d.] = −0.48 to −0.27). Effects could not be ascertained up to 24 months (s.m.d. = −0.18). Similar findings emerged for 50% symptom reduction (relative risk = 1.27–2.79), reliable improvement (relative risk = 1.38–3.17), deterioration (relative risk = 0.67–0.54) and close-to-symptom-free status (relative risk = 1.41–2.80). Among participant-level moderators, only initial depression and anxiety severity were highly credible (P > 0.99). Predicted treatment benefits decreased with lower symptom severity but remained minimally important even for very mild symptoms (s.m.d. = −0.33 for PHQ-9 = 5).
Conclusions
Psychological intervention reduces the symptom burden in individuals with subthreshold depression up to 1 year, and protects against symptom deterioration. Benefits up to 2 years are less certain. We find strong support for intervention in subthreshold depression, particularly with PHQ-9 scores ≥ 10. For very mild symptoms, scalable treatments could be an attractive option.
Objectives/Goals: The identification of the cascade of molecular and cellular events occurring during the progression of focal segmental glomerulosclerosis in human kidney biopsies from kidney transplant (KTx) recipients (KTR) with normal function or recurrent FSGS to determine potential targets of intervention and therapy. Methods/Study Population: In this study, we evaluate the molecular and cellular events associated with primary FSGS in both native and transplant kidneys. We collected biopsy samples from the native normal kidney (nNK, n = 3), normal functioning allografts (NKTx, n = 3), primary FSGS in the native kidney (nFSGS, n = 1), recurrent FSGS (KTxFSGS, n = 5). KTxFSGS comprises a collection of longitudinal samples with biopsy also collected at the subsequent recurrence. Blood samples were collected during biopsy collection. Biopsies were preserved in RNAlater at the time of collection. 10X genomics chromium single nuclei RNA sequencing (snRNAseq) was performed using isolated nuclei. Data was analyzed using Seurat on R. Conditionally immortalized podocytes were treated with a patient serum to determine the change in expression observed in snRNAseq data. Results/Anticipated Results: Recurrence rates of primary FSGS are high in kidney allograft recipients up to 25–50% in first, and up to 80% in second transplants, often leading to graft loss. Our findings reveal that podocyte detachment is driven by metabolic and structural dysregulation rather than cell death, increasing VEGFA expression and disrupting glomerular endothelial cell growth and permeability. Parietal epithelial cells initially compensate by dedifferentiating toward podocytes but later increase collagen deposition, contributing to glomerular sclerosis. Increased interactions of glomerular cells with B cells exacerbate extracellular matrix deposition and scarring. We also observed tubular sclerosis and disruption of the regenerative potential of proximal tubular cells, with increased interaction with T cells. Discussion/Significance of Impact: These findings offer new insights into the pathogenesis of recurrent FSGS and suggest potential therapeutic targets and establishes a foundation for future studies to further evaluate the role of metabolic dysfunction as the cause of podocyte injury and loss.
For decades, in most states with a party registration option, the percentage of voters registering as unaffiliated with a major political party has steadily increased. But who are these registered voters in these polarized partisan times, and why might they register without a major party? We address these questions by drawing on parallel large-N original surveys of registered voters in two southeastern states experiencing a notable rise in registered independents but with different electoral rules for unaffiliated registrants. The closed primary rule in Florida reflects a much greater share of major party registrants versus North Carolina, which has a semi-closed primary rule. Nevertheless, even with these different primary laws, in both states we find that the decision not to register with a major party strongly covaries with identity as a political independent. Hence, registration rules may alter registration patterns, but individuals claiming to be less attached to a major party are markedly more likely to manifest this position by registering unaffiliated.
This chapter is the heart of the book; it presents comprehensive deterrence theory (CDT), the reconceptualization of classical deterrence theory. It identifies the core principle of CDT, additional principles that flow from consideration of the intrinsic elements, and predictions that can be made based on them. The chapter presents both a set of core theoretical arguments and a wide range of corollaries that predict when and how legal punishment deters. The theory argues that deterrence consists of all eight intrinsic elements that individually and collectively deter crime. An essential insight from CDT is that there is no universal deterrent effect of a given punishment. Rather, deterrence involves contingent effects that depend on the configuration of the intrinsic elements. Because these can vary greatly, so, too, can the effects of punishment. This insight has profound implications for understanding the limited state of research to date, limited generalizability of many extant studies, and ineffectiveness of many policies. It also has implications for understanding how policy could be improved.
This chapter discusses the current state of research on deterrence, highlighting critical limitations and, again, the need for an approach that can help to advance the field and policy. Review of extant work on specific and general deterrence, objective and perceptual deterrence, experiential effects, and other areas of deterrence scholarship makes clear that additional problems – besides the overly narrow conceptualization of deterrence inherited from the eighteenth-century accounts of it – exist. These problems include a large body of disconnected and inchoate research, the lack of a unifying theory for connecting research findings or generating new questions, incomplete recognition of the elements that inhere in deterrence and their importance to understanding it, limitations in research that derive from the incomplete understanding of deterrence, and the persistent lack of an answer to a basic question: Do legal punishments deter? This state of affairs is what motivated and guided development of the reconceptualized theory of deterrence, comprehensive deterrence theory (CDT), presented in the book.
This chapter describes steps that can be taken to advance deterrence theory using comprehensive deterrence theory (CDT). It discusses, for example, the possibility of identifying second-level principles that integrate CDT’s first-level principles. There is, too, the possibility of advancing CDT by investigating causes of the intrinsic elements and modifying the principles or creating new ones. Another avenue to pursue entails identifying how deterrent processes and effects may vary across different individuals, groups, conditions, types of crime, and units of analysis. Still other avenues involve incorporating offending theories into CDT and contemplating how deterrence processes may vary when considering offending onset, persistence, and desistance.
This chapter clarifies the theoretical arguments through discussion of issues and questions that may arise in conceptualizing, testing, and evaluating not only comprehensive deterrence theory (CDT) but also, more generally, that can arise in deterrence research. For example, it discusses the nature of punishment. Deterrence scholarship understandably has examined the idea that punishments may deter. What has not been systematically theorized or empirically studied is punishment itself. Historical accounts exist, of course. And numerous scholars certainly have detailed many aspects of certain types of punishment, such as the death penalty. However, deterrence scholarship lacks a coherent foundation for predicting the effects of a wide variety of legal punishments, or how to distinguish when one type of punishment meaningfully differs from another. Similarly, there is a great deal of confusion about legal vs. extralegal punishment as well as specific vs. general deterrence. The chapter examines these and other issues with an eye towards clarifying CDT and charting directions for improving deterrence scholarship.