Toward identifying reproducible brain signatures of obsessive-compulsive profiles: rationale and methods for a new global initiative.

BACKGROUND: Obsessive-compulsive disorder (OCD) has a lifetime prevalence of 2-3% and is a leading cause of global disability. Brain circuit abnormalities in individuals with OCD have been identified, but important knowledge gaps remain. The goal of the new global initiative described in this paper is to identify robust and reproducible brain signatures of measurable behaviors and clinical symptoms that are common in individuals with OCD. A global approach was chosen to accelerate discovery, to increase rigor and transparency, and to ensure generalizability of results. METHODS: We will study 250 medication-free adults with OCD, 100 unaffected adult siblings of individuals with OCD, and 250 healthy control subjects at five expert research sites across five countries (Brazil, India, Netherlands, South Africa, and the U.S.). All participants will receive clinical evaluation, neurocognitive assessment, and magnetic resonance imaging (MRI). The imaging will examine multiple brain circuits hypothesized to underlie OCD behaviors, focusing on morphometry (T1-weighted MRI), structural connectivity (Diffusion Tensor Imaging), and functional connectivity (resting-state fMRI). In addition to analyzing each imaging modality separately, we will also use multi-modal fusion with machine learning statistical methods in an attempt to derive imaging signatures that distinguish individuals with OCD from unaffected siblings and healthy controls (Aim #1). Then we will examine how these imaging signatures link to behavioral performance on neurocognitive tasks that probe these same circuits as well as to clinical profiles (Aim #2). Finally, we will explore how specific environmental features (childhood trauma, socioeconomic status, and religiosity) moderate these brain-behavior associations. DISCUSSION: Using harmonized methods for data collection and analysis, we will conduct the largest neurocognitive and multimodal-imaging study in medication-free subjects with OCD to date. By recruiting a large, ethno-culturally diverse sample, we will test whether there are robust biosignatures of core OCD features that transcend countries and cultures. If so, future studies can use these brain signatures to reveal trans-diagnostic disease dimensions, chart when these signatures arise during development, and identify treatments that target these circuit abnormalities directly. The long-term goal of this research is to change not only how we conceptualize OCD but also how we diagnose and treat it.

Antimüllerian hormone is not associated with embryo ploidy in patients with and without infertility undergoing in vitro fertilization with preimplantation genetic testing.

OBJECTIVE: To assess the association between antimüllerian hormone (AMH) and embryo ploidy rates in 2 cohorts of patients undergoing in vitro fertilization (IVF) with trophectoderm biopsy for preimplantation genetic testing for aneuploidy (PGT-A): the general population of women pursuing IVF with PGT-A (Infertile cohort) and women pursuing IVF with preimplantation genetic testing for monogenic disorders (PGT-M) owing to the risk of hereditary monogenic diseases (Non-infertile cohort). DESIGN: Retrospective cohort study. SETTING: Academic center. PATIENT(S): Patients undergoing their first cycle of IVF with trophectoderm biopsy and PGT-A or PGT-A and PGT-M in our center between March 2012 and June 2020. Patients of advanced maternal age according to the Bologna criteria (age ≥40 years) and patients who underwent fresh embryo transfers were excluded. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Proportion of euploid, mosaic, and aneuploid embryos per cycle. RESULT(S): "Infertile" (n = 926) and "Non-infertile" (n = 214) patients were stratified on the basis of AMH levels, with low-AMH defined as <1.1 ng/mL in accordance with the Bologna criteria. Age-adjusted regression models showed no relationship between AMH classification and proportion of euploid, mosaic, and aneuploid embryos in the Infertile or Non-infertile cohorts. In the Infertile cohort, no association between AMH classification and embryo ploidy rates was identified in a subgroup analysis of patients aged <35 years, 35-37 years, and 38-39 years. These findings persisted in a sensitivity analysis of infertile patients stratified into AMH (ng/mL) quartile categories. CONCLUSION(S): No association was found between AMH and the proportion of euploid, mosaic, or aneuploid embryos in 2 large cohorts of patients undergoing IVF with PGT-A (Infertile patients) or PGT-A and PGT-M (Non-infertile patients), suggesting that a quantitative depletion of ovarian reserve does not predict the ploidy status of the embryo cohort.

Body mass index is not associated with embryo ploidy in patients undergoing in vitro fertilization with preimplantation genetic testing.

OBJECTIVE: To assess the association between body mass index (BMI) and embryo aneuploidy and mosaicism in a cohort of patients undergoing in vitro fertilization (IVF) with trophectoderm biopsy for preimplantation genetic testing for aneuploidy (PGT-A) using next-generation sequencing technology. DESIGN: Retrospective cohort study. SETTING: Academic center. PATIENTS: Patients undergoing their first IVF cycle with trophectoderm biopsy and PGT-A at our center between January 1, 2017, and August 31, 2020. Patients classified as underweight on the basis of BMI (BMI <18.5 kg/m2) and patients who underwent fresh embryo transfers were excluded. INTERVENTION: None. MAIN OUTCOME MEASURES: Number and proportion of aneuploid, mosaic, and euploid embryos. RESULTS: The patients were stratified according to the World Health Organization's BMI classification: normal weight (18.5-24.9 kg/m2, n = 1,254), overweight (25-29.9 kg/m2, n = 351), and obese (≥30 kg/m2, n = 145). Age-adjusted regression models showed no relationship between BMI classification and the number or proportion of aneuploid embryos. There were no statistically significant associations between BMI classifications and the number or proportion of mosaic or euploid embryos. A subgroup analysis of patients classified into age groups of <35, 35-40, and >40 years similarly showed no relationships between BMI and embryo ploidy outcomes. CONCLUSION: Body mass index was not associated with the number or proportion of aneuploid, mosaic, or euploid embryos in this large cohort of patients undergoing IVF with PGT-A, suggesting that the negative effect of excess weight on reproductive outcomes was independent of the ploidy status of the embryo cohort.

Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases.

Importance: The coronavirus disease 2019 (COVID-19) pandemic has led to treatment delays for many patients with cancer. While published guidelines provide suggestions on which cases are appropriate for treatment delay, there are no good quantitative estimates on the association of delays with tumor control or risk of new metastases. Objectives: To develop a simplified mathematical model of tumor growth, control, and new metastases for cancers with varying doubling times and metastatic potential and to estimate tumor control probability (TCP) and metastases risk as a function of treatment delay interval. Design, Setting, and Participants: This decision analytical model describes a quantitative model for 3 tumors (ie, head and neck, colorectal, and non-small cell lung cancers). Using accepted ranges of tumor doubling times and metastatic development from the clinical literature from 2001 to 2020, estimates of tumor growth, TCP, and new metastases were analyzed for various treatment delay intervals. Main Outcomes and Measures: Risk estimates for potential decreases in local TCP and increases in new metastases with each interval of treatment delay. Results: For fast-growing head and neck tumors with a 2-month treatment delay, there was an estimated 4.8% (95% CI, 3.4%-6.4%) increase in local tumor control risk and a 0.49% (0.47%-0.51%) increase in new distal metastases risk. A 6-month delay was associated with an estimated 21.3% (13.4-30.4) increase in local tumor control risk and a 6.0% (5.2-6.8) increase in distal metastases risk. For intermediate-growing colorectal tumors, there was a 2.1% (0.7%-3.5%) increase in local tumor control risk and a 2.7% (2.6%-2.8%) increase in distal metastases risk at 2 months and a 7.6% (2.2%-14.2%) increase in local tumor control risk and a 24.7% (21.9%-27.8%) increase in distal metastases risk at 6 months. For slower-growing lung tumors, there was a 1.2% (0.0%-2.8%) increase in local tumor control risk and a 0.19% (0.18%-0.20%) increase in distal metastases risk at 2 months, and a 4.3% (0.0%-10.6%) increase in local tumor control risk and a 1.9% (1.6%-2.2%) increase in distal metastases risk at 6 months. Conclusions and Relevance: This study proposed a model to quantify the association of treatment delays with local tumor control and risk of new metastases. The detrimental associations were greatest for tumors with faster rates of proliferation and metastasis. The associations were smaller, but still substantial, for slower-growing tumors.