IL-17a promotes sociability in mouse models of neurodevelopmental disorders.

A subset of children with autism spectrum disorder appear to show an improvement in their behavioural symptoms during the course of a fever, a sign of systemic inflammation1,2. Here we elucidate the molecular and neural mechanisms that underlie the beneficial effects of inflammation on social behaviour deficits in mice. We compared an environmental model of neurodevelopmental disorders in which mice were exposed to maternal immune activation (MIA) during embryogenesis3,4 with mouse models that are genetically deficient for contactin-associated protein-like 2 (Cntnap2)5, fragile X mental retardation-1 (Fmr1)6 or Sh3 and multiple ankyrin repeat domains 3 (Shank3)7. We establish that the social behaviour deficits in offspring exposed to MIA can be temporarily rescued by the inflammatory response elicited by the administration of lipopolysaccharide (LPS). This behavioural rescue was accompanied by a reduction in neuronal activity in the primary somatosensory cortex dysgranular zone (S1DZ), the hyperactivity of which was previously implicated in the manifestation of behavioural phenotypes associated with offspring exposed to MIA8. By contrast, we did not observe an LPS-induced rescue of social deficits in the monogenic models. We demonstrate that the differences in responsiveness to the LPS treatment between the MIA and the monogenic models emerge from differences in the levels of cytokine production. LPS treatment in monogenic mutant mice did not induce amounts of interleukin-17a (IL-17a) comparable to those induced in MIA offspring; bypassing this difference by directly delivering IL-17a into S1DZ was sufficient to promote sociability in monogenic mutant mice as well as in MIA offspring. Conversely, abrogating the expression of IL-17 receptor subunit a (IL-17Ra) in the neurons of the S1DZ eliminated the ability of LPS to reverse the sociability phenotypes in MIA offspring. Our data support a neuroimmune mechanism that underlies neurodevelopmental disorders in which the production of IL-17a during inflammation can ameliorate the expression of social behaviour deficits by directly affecting neuronal activity in the central nervous system.

Serotonin as a biomarker of toxin-induced Parkinsonism.

BACKGROUND: Loss of dopaminergic neurons underlies the motor symptoms of Parkinson's disease (PD). However stereotypical PD symptoms only manifest after approximately 80% of dopamine neurons have died making dopamine-related motor phenotypes unreliable markers of the earlier stages of the disease. There are other non-motor symptoms, such as depression, that may present decades before motor symptoms. METHODS: Because serotonin is implicated in depression, here we use niche, fast electrochemistry paired with mathematical modelling and machine learning to, for the first time, robustly evaluate serotonin neurochemistry in vivo in real time in a toxicological model of Parkinsonism, 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). RESULTS: Mice treated with acute MPTP had lower concentrations of in vivo, evoked and ambient serotonin in the hippocampus, consistent with the clinical comorbidity of depression with PD. These mice did not chemically respond to SSRI, as strongly as control animals did, following the clinical literature showing that antidepressant success during PD is highly variable. Following L-DOPA administration, using a novel machine learning analysis tool, we observed a dynamic shift from evoked serotonin release in the hippocampus to dopamine release. We hypothesize that this finding shows, in real time, that serotonergic neurons uptake L-DOPA and produce dopamine at the expense of serotonin, supporting the significant clinical correlation between L-DOPA and depression. Finally, we found that this post L-DOPA dopamine release was less regulated, staying in the synapse for longer. This finding is perhaps due to lack of autoreceptor control and may provide a ground from which to study L-DOPA induced dyskinesia. CONCLUSIONS: These results validate key prior hypotheses about the roles of serotonin during PD and open an avenue to study to potentially improve therapeutics for levodopa-induced dyskinesia and depression.

Characterizing gaps in the preventive pharmacologic treatment of migraine: Multi-country results from the CaMEO-I study.

OBJECTIVE: To analyze data from the Chronic Migraine Epidemiology and Outcomes-International (CaMEO-I) Study in order to characterize preventive medication use and identify preventive usage gaps among people with migraine across multiple countries. BACKGROUND: Guidelines for the preventive treatment of migraine are available from scientific organizations in various countries. Although these guidelines differ among countries, eligibility for preventive treatment is generally based on monthly headache day (MHD) frequency and associated disability. The overwhelming majority of people with migraine who are eligible for preventive treatment do not receive it. METHODS: The CaMEO-I Study was a cross-sectional, observational, web-based panel survey study performed in six countries: Canada, France, Germany, Japan, the United Kingdom, and the United States. People were invited to complete an online survey in their national language(s) to identify those with migraine according to modified International Classification of Headache Disorders, 3rd edition, criteria. People classified with migraine answered questions about current and ever use of both acute and preventive treatments for migraine. Available preventive medications for migraine differed by country. MHD frequency and associated disability data were collected. The American Headache Society (AHS) 2021 Consensus Statement algorithm was used to determine candidacy for preventive treatment (i.e., ≥3 monthly MHDs with severe disability, ≥4 MHDs with some disability, or ≥6 MHDs regardless of level of disability). RESULTS: Among 90,613 valid completers of the screening survey, 14,492 met criteria for migraine and completed the full survey, with approximately 2400 respondents from each country. Based on the AHS consensus statement preventive treatment candidacy algorithm, averaging across countries, 36.2% (5246/14,492) of respondents with migraine qualified for preventive treatment. Most respondents (84.5% [4431/5246]) who met criteria for preventive treatment according to the AHS consensus statement were not using a preventive medication at the time of the survey. Moreover, 19.3% (2799/14,492) of respondents had ever used preventive medication (ever users); 58.1% (1625/2799) of respondents who reported ever using a preventive medication for migraine were still taking it. Of the respondents who were currently using a preventive medication, 50.2% (815/1625) still met the criteria for needing preventive treatment based on the AHS consensus statement. CONCLUSIONS: Most people with migraine who qualify for preventive treatment are not currently taking it. Additionally, many people currently taking preventive pharmacologic treatment still meet the algorithm criteria for needing preventive treatment, suggesting inadequate benefit from their current regimen.

Impact of headache frequency and preventive treatment failure on quality of life, disability, and direct and indirect costs among individuals with episodic migraine in the United States.

OBJECTIVE: To evaluate unmet needs among individuals with episodic migraine (EM) in the United States (US). BACKGROUND: Data are limited on the impact of headache frequency (HF) and preventive treatment failure (TF) on the burden of migraine in the US. METHODS: A retrospective, cross-sectional analysis of 2019 National Health and Wellness Survey (NHWS) data was conducted from an opt-in online survey that identified respondents (aged ≥18 years) in the US with self-reported physician-diagnosed migraine. Participants were stratified by HF (low: 0-3 days/month; moderate-to-high: 4-14 days/month) and prior preventive TF (preventive naive; 0-1 TF; ≥2 TFs). Comparisons were conducted between preventive TF groups using multivariable regression models controlling for patient demographic and health characteristics. RESULTS: Among individuals with moderate-to-high frequency EM, the NHWS identified 397 with ≥2 TFs, 334 with 0-1 TF, and 356 as preventive naive. The 36-item Short-Form Health Survey (version 2) Physical Component Summary scores were significantly lower among those with ≥2 TFs, at a mean (standard error [SE]) of 41.4 [0.8] versus the preventive-naive 46.8 [0.9] and 0-1 TF 44.5 [0.9] groups; p < 0.001 for both). Migraine Disability Assessment Scale scores were significantly higher in the ≥2 TFs, at a mean (SE) of 37.7 (3.9) versus preventive-naive 26.8 (2.9) (p < 0.001) and 0-1 TF 30.1 (3.3) (p = 0.011) groups. The percentages of time that respondents experienced absenteeism (mean [SE] 21.6% [5.5%] vs. 13.4% [3.6%]; p = 0.022), presenteeism (mean [SE] 55.0% [8.3%] vs. 40.8% [6.5%]; p = 0.015), overall work impairment (mean [SE] 59.4% [5.6%] vs. 45.0% [4.4%]; p < 0.001), and activity impairment (mean [SE] 56.8% [1.0%] vs. 44.4% [0.9%]; p < 0.001) were significantly higher in the ≥2 TFs versus preventive-naive group. Emergency department visits (preventive-naive, p = 0.006; 0-1 TF, p = 0.008) and hospitalizations (p < 0.001 both) in the past 6 months were significantly higher in the ≥2 TFs group. Direct and indirect costs were significantly higher in the ≥2 TFs (mean [SE] $24,026 [3460]; $22,074 [20]) versus 0-1 TF ($10,897 [1636]; $17,965 [17]) and preventive-naive ($11,497 [1715]; $17,167 [17]) groups (p < 0.001 for all). Results were similar in the low-frequency EM group. CONCLUSIONS: In this NHWS analysis, individuals with more prior preventive TFs experienced significantly higher humanistic and economic burden regardless of HF.

Prevalence and burden of migraine in the United States: A systematic review.

BACKGROUND: This study reviewed migraine prevalence and disability gathered through epidemiologic survey studies in the United States conducted over the past three decades. We summarized these studies and evaluated changing patterns of disease prevalence and disability. METHODS: We conducted a systematic review of US studies addressing the prevalence, disability, and/or burden of migraine, including both episodic migraine (EM) and chronic migraine (CM). A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was used in conjunction with the PubMed search engine. Eligible studies were published before February 2022, were conducted in the United States, included representative samples, and used a case definition of migraine based on the International Classification of Headache Disorders (ICHD). The primary measure of disease burden was the Migraine Disability Assessment Scale (MIDAS). The MIDAS measures days lost due to migraine over 3 months in three domains and defines groups with moderate (Grade III) or severe disability (Grade IV) using cut-scores. RESULTS: Of the 1609 identified records, 26 publications from 11 US population-based studies met eligibility criteria. The prevalence of migraine in the population has remained relatively consistent for the past 30 years: ranging from 11.7% to 14.7% overall, 17.1% to 19.2% in women, and 5.6% to 7.2% in men in the studies reviewed. CM prevalence is 0.91% (1.3% among women and 0.5% of men) in adults and 0.8% in adolescents. The proportion of people with migraine and moderate-to-severe MIDAS disability (Grades III-IV), has trended upward across studies from 22.0% in 2005 to 39.0% in 2012, to 43.2% in 2016, and 42.4% in 2018. A consistently higher proportion of women were assigned MIDAS Grades III/IV relative to men. CONCLUSION: The prevalence of migraine in the United States has remained stable over the past three decades while migraine-related disability has increased. The disability trend could reflect changes in reporting, study methodology, social and societal changes, or changes in exacerbating or remediating factors that make migraine more disabling, among other hypotheses. These issues merit further investigation.

Machine learning identifies factors most associated with seeking medical care for migraine: Results of the OVERCOME (US) study.

OBJECTIVE: Utilize machine learning models to identify factors associated with seeking medical care for migraine. BACKGROUND: Migraine is a leading cause of disability worldwide, yet many people with migraine do not seek medical care. METHODS: The web-based survey, ObserVational survey of the Epidemiology, tReatment and Care Of MigrainE (US), annually recruited demographically representative samples of the US adult population (2018-2020). Respondents with active migraine were identified via a validated diagnostic questionnaire and/or a self-reported medical diagnosis of migraine, and were then asked if they had consulted a healthcare professional for their headaches in the previous 12 months (i.e., "seeking care"). This included in-person/telephone/or e-visit at Primary Care, Specialty Care, or Emergency/Urgent Care locations. Supervised machine learning (Random Forest) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms identified 13/54 sociodemographic and clinical factors most associated with seeking medical care for migraine. Random Forest models complex relationships (including interactions) between predictor variables and a response. LASSO is also an efficient feature selection algorithm. Linear models were used to determine the multivariable association of those factors with seeking care. RESULTS: Among 61,826 persons with migraine, the mean age was 41.7 years (±14.8) and 31,529/61,826 (51.0%) sought medical care for migraine in the previous 12 months. Of those seeking care for migraine, 23,106/31,529 (73.3%) were female, 21,320/31,529 (67.6%) were White, and 28,030/31,529 (88.9%) had health insurance. Severe interictal burden (assessed via the Migraine Interictal Burden Scale-4, MIBS-4) occurred in 52.8% (16,657/31,529) of those seeking care and in 23.1% (6991/30,297) of those not seeking care; similar patterns were observed for severe migraine-related disability (assessed via the Migraine Disability Assessment Scale, MIDAS) (36.7% [11,561/31,529] vs. 14.6% [4434/30,297]) and severe ictal cutaneous allodynia (assessed via the Allodynia Symptom Checklist, ASC-12) (21.0% [6614/31,529] vs. 7.4% [2230/30,297]). Severe interictal burden (vs. none, OR 2.64, 95% CI [2.5, 2.8]); severe migraine-related disability (vs. little/none, OR 2.2, 95% CI [2.0, 2.3]); and severe ictal allodynia (vs. none, OR 1.7, 95% CI [1.6, 1.8]) were strongly associated with seeking care for migraine. CONCLUSIONS: Seeking medical care for migraine is associated with higher interictal burden, disability, and allodynia. These findings could support interventions to promote care-seeking among people with migraine, encourage assessment of these factors during consultation, and prioritize these domains in selecting treatments and measuring their benefits.

Singularity in polarization: rewiring yeast cells to make two buds.

For budding yeast to ensure formation of only one bud, cells must polarize toward one, and only one, site. Polarity establishment involves the Rho family GTPase Cdc42, which concentrates at polarization sites via a positive feedback loop. To assess whether singularity is linked to the specific Cdc42 feedback loop, we disabled the yeast cell's endogenous amplification mechanism and synthetically rewired the cells to employ a different positive feedback loop. Rewired cells violated singularity, occasionally making two buds. Even cells that made only one bud sometimes initiated two clusters of Cdc42, but then one cluster became dominant. Mathematical modeling indicated that, given sufficient time, competition between clusters would promote singularity. In rewired cells, competition occurred slowly and sometimes failed to develop a single "winning" cluster before budding. Slowing competition in normal cells also allowed occasional formation of two buds, suggesting that singularity is enforced by rapid competition between Cdc42 clusters.

Pulmonary Open, Robotic, and Thoracoscopic Lobectomy (PORTaL) Study: An Analysis of 5721 Cases.

OBJECTIVE: The aim of this study was to analyze outcomes of open lobectomy (OL), VATS, and robotic-assisted lobectomy (RL). SUMMARY BACKGROUND DATA: Robotic-assisted lobectomy has seen increasing adoption for treatment of early-stage lung cancer. Comparative data regarding these approaches is largely from single-institution case series or administrative datasets. METHODS: Retrospective data was collected from 21 institutions from 2013 to 2019. All consecutive cases performed for clinical stage IA-IIIA lung cancer were included. Neoadjuvant cases were excluded. Propensity-score matching (1:1) was based on age, sex, race, smoking-status, FEV1%, Zubrod score, American Society of Anesthesiologists score, tumor size, and clinical T and N stage. RESULTS: A total of 2391 RL, 2174 VATS, and 1156 OL cases were included. After propensity-score matching there were 885 pairs of RL vs OL, 1,711 pairs of RL vs VATS, and 952 pairs of VATS vs OL. Operative time for RL was shorter than VATS ( P < 0.0001) and OL ( P = 0.0004). Compared to OL, RL and VATS had less overall postoperative complications, shorter hospital stay (LOS), and lower transfusion rates (all P <0.02). Compared to VATS, RL had lower conversion rate ( P <0.0001), shorter hospital stay ( P <0.0001) and a lower postoperative transfusion rate ( P =0.01). RL and VATS cohorts had comparable postoperative complication rates. In-hospital mortality was comparable between all groups. CONCLUSIONS: RL and VATS approaches were associated with favorable perioperative outcomes compared to OL. Robotic-assisted lobectomy was also associated with a reduced length of stay and decreased conversion rate when compared to VATS.

Pulmonary Open, Robotic, and Thoracoscopic Lobectomy (PORTaL) Study: Survival Analysis of 6646 Cases.

OBJECTIVE: The aim of this study was to analyze overall survival (OS) of robotic-assisted lobectomy (RL), video-assisted thoracoscopic lobectomy (VATS), and open lobectomy (OL) performed by experienced thoracic surgeons across multiple institutions. SUMMARY BACKGROUND DATA: Surgeons have increasingly adopted RL for resection of early-stage lung cancer. Comparative survival data following these approaches is largely from single-institution case series or administrative data sets. METHODS: Retrospective data was collected from 21 institutions from 2013 to 2019. Consecutive cases performed for clinical stage IA-IIIA lung cancer were included. Induction therapy patients were excluded. The propensity-score method of inverse-probability of treatment weighting was used to balance baseline characteristics. OS was estimated using the Kaplan-Meier method. Multivariable Cox proportional hazard models were used to evaluate association among OS and relevant risk factors. RESULTS: A total of 2789 RL, 2661 VATS, and 1196 OL cases were included. The unadjusted 5-year OS rate was highest for OL (84%) followed by RL (81%) and VATS (74%); P =0.008. Similar trends were also observed after inverse-probability of treatment weighting adjustment (RL 81%; VATS 73%, OL 85%, P =0.001). Multivariable Cox regression analyses revealed that OL and RL were associated with significantly higher OS compared with VATS (OL vs. VATS: hazard ratio=0.64, P <0.001 and RL vs. VATS: hazard ratio=0.79; P =0.007). CONCLUSIONS: Our finding from this large multicenter study suggests that patients undergoing RL and OL have statistically similar OS, while the VATS group was associated with shorter OS. Further studies with longer follow-up are necessary to help evaluate these observations.

Chronic Migraine Epidemiology and Outcomes - International (CaMEO-I) Study: Methods and multi-country baseline findings for diagnosis rates and care.

BACKGROUND: The Chronic Migraine Epidemiology and Outcomes-International study provides insight into people with migraine in multiple countries. METHODS: This cross-sectional, observational, web-based cohort study was conducted in Canada, France, Germany, Japan, United Kingdom, and United States. An initial Screening Module survey solicited general healthcare information from a representative sample and identified participants with migraine based on modified International Classification of Headache Disorders-3 criteria; those with migraine completed a detailed survey based on validated migraine-specific assessments. RESULTS: Among 90,613 people who correctly completed the screening surveys, 76,121 respondents did not meet the criteria for migraine, while 14,492 did. Among respondents with migraine, mean age ranged from 40 to 42 years. The median number of monthly headache days ranged from 2.33 to 3.33 across countries, while the proportion of respondents with moderate-to-severe disability (measured by Migraine Disability Assessment) ranged from 30% (Japan) to 52% (Germany). The proportion of respondents with ≥15 monthly headache days ranged from 5.4% (France) to 9.5% (Japan). Fewer than half of respondents with migraine in each country reported having received a migraine diagnosis. CONCLUSION: These results demonstrated high rates of migraine-related disability and underdiagnosis of migraine across six countries. This study will characterize country-level burden, treatment patterns, and geographical differences in care.

Predictors of treatment-response to caffeine combination products, acetaminophen, acetylsalicylic acid (aspirin), and nonsteroidal anti-inflammatory drugs in acute treatment of episodic migraine.

OBJECTIVE: To identify predictors of acute treatment optimization for migraine with "over-the-counter" (OTC) or prescription nonsteroidal anti-inflammatory drugs (NSAIDs) as well as other widely used OTCs including acetaminophen, caffeine combination products (CCP), and acetylsalicylic acid (ASA, aspirin) among people with episodic migraine and to develop models that predict treatment response to each class of OTCs. BACKGROUND: Efficacy of acute OTC medications for migraine varies greatly. Identifying predictors of treatment response to particular classes of medication is a step toward evidence-based personalized therapy. METHODS: For this prediction model development study, we used data from 2224 participants from the American Migraine Prevalence and Prevention (AMPP) study who were aged ≥18 years, met criteria for migraine, had <15 monthly headache days, and reported being on monotherapy for acute migraine attacks with one of the following classes medications: CCP (N = 711), acetaminophen (N = 643), ASA (N = 110), and prescription or OTC NSAIDs (N = 760). The primary outcome measures of treatment optimization were adequate 2-h pain freedom (2hPF) and adequate 24-h pain relief (24hPR), which were defined by responses of half the time or more to the relevant items on the Migraine Treatment Optimization Questionnaire-6. RESULTS: The mean (SD) age of the participants was 46.2 (13.1) years, 79.4% (1765/2224) were female, 43.7% (972/2224) reported adequate 2hPF, and 46.1% (1025/2224) reported adequate 24hPR. Those taking CCP had better 2hPF and 24PR outcomes. For those taking NSAIDs, better outcomes were associated with lower average pain intensity (2hPF: odds ratio [OR] 0.89, 95% confidence interval [CI] 0.80-0.99; 24PR: OR 0.86, 95% CI 0.77-0.96), cutaneous allodynia (2hPF: OR 0.92, 95% CI 0.89-0.96; 24PR: OR 0.91, 95% CI 0.87-0.95), depressive symptoms (2hPF: OR 0.95, 95% CI 0.92-0.98; 24PR: OR 0.95, 95% CI 0.91-0.99), and Migraine Disability Assessment Scale (MIDAS) grade (2hPF: OR 0.76, 95% CI 0.64-0.90; 24PR: OR 0.79, 95% CI 0.65-0.95). Adequate 2hPF for those taking CCP was associated with male gender (OR 1.83, 95% CI 1.21-2.77), lower average pain intensity (OR 0.80, 95% CI 0.70-0.91), lower cutaneous allodynia (OR 0.94, 95% CI 0.90-0.97), and lower Migraine Symptom Severity Scale Score (MSSS; OR 0.91, 95% CI 0.86-0.97). Adequate 24hPR for those taking CCP was associated with lower average pain intensity (OR 0.85, 95% CI 0.75-0.96), lower cutaneous allodynia (OR 0.92, 95% CI 0.89-0.96), and lower MIDAS grade (OR 0.81, 95% CI 0.68-0.96). Participants who were married (OR 1.51, 95% CI 1.05-2.19), had lower average pain intensity (OR 0.79, 95% CI 0.70-0.89), lower MSSS (OR 0.93, 95% CI 0.88-0.99), less depression (OR 0.96, 95% CI 0.93-0.99), and lower MIDAS grade (OR 0.72, 95% CI 0.59-0.87) had adequate 2hPF after taking acetaminophen. Participants who were married (OR 1.50, 95% CI 1.02-2.21), had lower pain intensity (OR 0.78, 95% CI 0.69-0.88), less depression (OR 0.95, 95% CI 0.91-0.98) and lower MIDAS grade (OR 0.53, 95% CI 0.42-0.67) had higher 24hPR following use of acetaminophen. A lower MSSS was the only factor associated with higher 2hPF and 24PR after using ASA (OR 0.78, 95% CI 0.67-0.92 and OR 0.79, 95% CI 0.67-0.93). Predictive models had modest performance in identifying responders to each class of OTC. CONCLUSION: A large subgroup of people with migraine had an inadequate response to their usual acute OTC migraine treatment 2- and 24-h after dosing. These findings suggest a need to improve OTC treatment for some and to offer prescription acute medications for others. Predictive models identified several factors associated with better treatment-response in each OTC class. Selecting OTC treatment based on factors predictive of treatment optimization might improve patient outcomes.

Impact of monthly headache days on migraine-related quality of life: Results from the Chronic Migraine Epidemiology and Outcomes (CaMEO) study.

OBJECTIVE: To characterize the direct impact of monthly headache days (MHDs) on health-related quality of life (HRQoL) in people with migraine and the potential mediating effects of anxiety, depression, and allodynia. BACKGROUND: Although the general relationship between increased migraine frequency (i.e., MHDs) and reduced HRQoL is well established, the degree to which reduced HRQoL is due to a direct effect of increased MHDs or attributable to mediating factors remains uncertain. METHODS: Cross-sectional baseline data from participants with migraine who completed the Core and Comorbidities/Endophenotypes modules in the 2012-2013 US Chronic Migraine Epidemiology and Outcomes (CaMEO) study, a longitudinal web-based survey study, were analyzed. The potential contribution of depression, anxiety, and/or allodynia to the observed effects of MHDs on HRQoL as measured by the Migraine-Specific Quality-of-Life Questionnaire version 2.1 (MSQ) was evaluated. RESULTS: A total of 12,715 respondents were included in the analyses. The MSQ domain scores demonstrated progressive declines with increasing MHD categories (B = -1.23 to -0.60; p < 0.001). The observed HRQoL decrements associated with increasing MHDs were partially mediated by the presence of depression, anxiety, and allodynia. The MHD values predicted 24.0%-32.4% of the observed variation in the MSQ domains. Depression mediated 15.2%-24.3%, allodynia mediated 9.6%-16.1%, and anxiety mediated 2.3%-6.0% of the observed MHD effects on the MSQ. CONCLUSIONS: Increased MHD values were associated with lower MSQ scores; the impact of MHDs on the MSQ domain scores was partially mediated by the presence of depression, anxiety, and allodynia. MHDs remain the predominant driver of the MSQ variation; moreover, most of the variation in the MSQ remains unexplained by the variables we analyzed. Future longitudinal analyses and studies may help clarify the contribution of MHDs, comorbidities, and other factors to changes in HRQoL.

Pre- and post-headache phases of migraine: multi-country results from the CaMEO - International Study.

BACKGROUND: Individuals with migraine frequently experience pre- and post-headache symptoms. This analysis aimed to characterize the relative frequency and burden of pre- and post-headache symptoms in people with migraine using data collected through the Chronic Migraine Epidemiology and Outcomes - International Study. METHODS: This cross-sectional, observational, web-based survey was conducted in 2021-2022 in Canada, France, Germany, Japan, the United Kingdom, and the United States. Respondents who met modified International Classification of Headache Disorders, 3rd edition, criteria were offered the opportunity to participate. Information collected included migraine-related disability, depression/anxiety symptoms, cutaneous allodynia, activity limitations, and acute treatment optimization. Respondents indicated how often they had pre- or post-headache symptoms using a 5-point scale, ranging from 0 to 4, with a rating of 2 or higher classified as a pre- or post-headache symptom case. Modeling was used to examine relationships with monthly headache days (MHDs) and activity limitations during pre-headache and post-headache phases. RESULTS: Among a total of 14,492 respondents, pre-headache symptoms were reported by 66.9%, while post-headache symptoms were reported by 60.2%. Both pre-headache and post-headache symptoms were reported by 49.5% of respondents, only pre-headache by 17.4%, only post-headache by 10.7%, and neither pre- nor post-headache symptoms by 22.4%. Compared with respondents who experienced only pre- or post-headache symptoms, respondents who experienced both pre- and post-headache symptoms had the highest rates of 4-7, 8-14, and ≥ 15 monthly headache days (23.1%, 14.1%, and 10.9%, respectively). Of respondents with both pre- and post-headache symptoms, 58.5% reported moderate-to-severe disability, 47.7% reported clinically significant symptoms of depression, 49.0% reported clinically significant symptoms of anxiety, and 63.8% reported cutaneous allodynia with headache (ASC-12). Moderate-to-severe activity limitations were reported during the pre-headache (29.5%) and post-headache phases (27.2%). For all outcomes modeled, after controlling for covariates, having pre-headache symptoms, post-headache symptoms, or both were associated with worse outcomes than having neither. CONCLUSIONS: Pre- and post-headache phases of migraine are common, carry unrecognized burden, and may be a target for treatment.

Inflammation-Induced Histamine Impairs the Capacity of Escitalopram to Increase Hippocampal Extracellular Serotonin.

Commonly prescribed selective serotonin reuptake inhibitors (SSRIs) inhibit the serotonin transporter to correct a presumed deficit in extracellular serotonin signaling during depression. These agents bring clinical relief to many who take them; however, a significant and growing number of individuals are resistant to SSRIs. There is emerging evidence that inflammation plays a significant role in the clinical variability of SSRIs, though how SSRIs and inflammation intersect with synaptic serotonin modulation remains unknown. In this work, we use fast in vivo serotonin measurement tools to investigate the nexus between serotonin, inflammation, and SSRIs. Upon acute systemic lipopolysaccharide (LPS) administration in male and female mice, we find robust decreases in extracellular serotonin in the mouse hippocampus. We show that these decreased serotonin levels are supported by increased histamine activity (because of inflammation), acting on inhibitory histamine H3 heteroreceptors on serotonin terminals. Importantly, under LPS-induced histamine increase, the ability of escitalopram to augment extracellular serotonin is impaired because of an off-target action of escitalopram to inhibit histamine reuptake. Finally, we show that a functional decrease in histamine synthesis boosts the ability of escitalopram to increase extracellular serotonin levels following LPS. This work reveals a profound effect of inflammation on brain chemistry, specifically the rapidity of inflammation-induced decreased extracellular serotonin, and points the spotlight at a potentially critical player in the pathology of depression, histamine. The serotonin/histamine homeostasis thus, may be a crucial new avenue in improving serotonin-based treatments for depression.SIGNIFICANCE STATEMENT Acute LPS-induced inflammation (1) increases CNS histamine, (2) decreases CNS serotonin (via inhibitory histamine receptors), and (3) prevents a selective serotonin reuptake inhibitor (SSRI) from effectively increasing extracellular serotonin. A targeted depletion of histamine recovers SSRI-induced increases in extracellular hippocampal serotonin.

Experimental Confirmation that an Uncommon rrs Gene Mutation (g878a) of Mycobacterium tuberculosis Confers Resistance to Streptomycin.

The effective treatment of patients diagnosed with drug-resistant tuberculosis is highly dependent on the ability to rapidly and accurately determine the antibiotic susceptibility profile of the Mycobacterium tuberculosis isolate(s) involved. Thus, as more clinical microbiology laboratories advance toward the use of DNA sequence-based diagnostics, it is imperative that their predictive functions extend beyond the well-known resistance mutations in order to also encompass as many of the lower-frequency mutations as possible. However, in most cases, fundamental experimental proof that links these uncommon mutations with phenotypic resistance is lacking. One such example is the g878a polymorphism within the rrs 16S rRNA gene. We, and others, have identified this mutation within a small number of drug-resistant isolates, although a consensus regarding exactly which aminoglycoside antibiotic(s) it confers resistance to has not previously been reached. Here, we have employed oligonucleotide-mediated recombineering to introduce the g878a polymorphism into the rrs gene of Mycobacterium bovis BCG, a close relative of M. tuberculosis, and demonstrate that it confers low-level resistance to streptomycin alone. It does not confer cross-resistance to amikacin, capreomycin, or kanamycin. We also demonstrate that the rrsg878a mutation exerts a substantial fitness defect in vitro that may at least in part explain why clinical isolates bearing this mutation appear to be quite rare. Overall, this study provides clarity to the phenotype attributable to the rrsg878a mutation and is relevant to the future implementation of genomics-based diagnostics as well as the clinical management of patients in whom this particular polymorphism is encountered.

Voltammetric Approach for Characterizing the Biophysical and Chemical Functionality of Human Induced Pluripotent Stem Cell-Derived Serotonin Neurons.

Depression is quickly becoming one of the world's most pressing public health crises, and there is an urgent need for better diagnostics and therapeutics. Behavioral models in animals and humans have not adequately addressed the diagnosis and treatment of depression, and biomarkers of mental illnesses remain ill-defined. It has been very difficult to identify biomarkers of depression because of in vivo measurement challenges. While our group has made important strides in developing in vivo tools to measure such biomarkers (e.g., serotonin) in mice using voltammetry, these tools cannot be easily applied for depression diagnosis and drug screening in humans due to the inaccessibility of the human brain. In this work, we take a chemical approach, ex vivo, to introduce a human-derived system to investigate brain serotonin. We utilize human induced pluripotent stem cells differentiated into serotonin neurons and establish a new ex vivo model of real-time serotonin neurotransmission measurements. We show that evoked serotonin release responds to stimulation intensity and tryptophan preloading, and that serotonin release and reuptake kinetics resemble those found in vivo in rodents. Finally, after selective serotonin reuptake inhibitor (SSRI) exposure, we find dose-dependent internalization of the serotonin reuptake transporters (a signature of the in vivo response to SSRI). Our new human-derived chemical model has great potential to provide an ex vivo chemical platform as a translational tool for in vivo neuropsychopharmacology.

Anterior Insula Activation During Cardiac Interoception Relates to Depressive Symptom Severity in HIV-Positive and HIV-Negative Postmenopausal Women.

OBJECTIVE: This study aimed to determine whether subclinical symptoms of depression in postmenopausal women are associated with blood oxygen level-dependent (BOLD) activity within the anterior insula during cardiac interoceptive awareness and whether this association differs for persons living with the human immunodeficiency virus (PWH). METHOD: Twenty-three postmenopausal (mean [standard deviation] age = 56.5 [4.8] years) and 27 HIV-negative women (mean [standard deviation] age = 56.4 [8.0]) underwent functional magnetic resonance imaging while performing a heartbeat detection task. BOLD activation within the bilateral anterior insula based on the contrast of a heartbeat detection condition with and without a distracting tone was entered along with age, HIV status, and psychological stress into two multivariate regression models with self-reported depressive symptom severity as the outcome. RESULTS: Depressive symptoms did not vary by HIV status, nor was there a main effect or interaction for PWH on insula BOLD activation. Depressive symptoms were positively associated with psychological stress for the left ( ß = 0.310, t (49) = 2.352, p = .023) and right brain models ( ß = 0.296, t (49) = 2.265, p = .028) as well as the magnitude of BOLD activation in the left insula ( ß = 0.290, t (49) = 2.218, p = .032) and right insula ( ß = 0.318, t (49) = 2.453, p = .018), respectively. Exploratory analyses revealed that greater magnitude of BOLD activation attributed to exteroceptive noise (tone) was also correlated with self-reported distrust and preoccupation with interoceptive sensations. CONCLUSIONS: Results support an active interference model for interoceptive awareness wherein greater BOLD signal in the anterior insula in the presence of distracting exteroceptive stimuli may reflect greater prediction error, a feature of depression.

One-carbon metabolism during the menstrual cycle and pregnancy.

Many enzymes in one-carbon metabolism (OCM) are up- or down-regulated by the sex hormones which vary diurnally and throughout the menstrual cycle. During pregnancy, estradiol and progesterone levels increase tremendously to modulate physiological changes in the reproductive system. In this work, we extend and improve an existing mathematical model of hepatic OCM to understand the dynamic metabolic changes that happen during the menstrual cycle and pregnancy due to estradiol variation. In particular, we add the polyamine drain on S-adenosyl methionine and the direct effects of estradiol on the enzymes cystathionine ß-synthase (CBS), thymidylate synthase (TS), and dihydrofolate reductase (DHFR). We show that the homocysteine concentration varies inversely with estradiol concentration, discuss the fluctuations in 14 other one-carbon metabolites and velocities throughout the menstrual cycle, and draw comparisons with the literature. We then use the model to study the effects of vitamin B12, vitamin B6, and folate deficiencies and explain why homocysteine is not a good biomarker for vitamin deficiencies. Additionally, we compute homocysteine throughout pregnancy, and compare the results with experimental data. Our mathematical model explains how numerous homeostatic mechanisms in OCM function and provides new insights into how homocysteine and its deleterious effects are influenced by estradiol. The mathematical model can be used by others for further in silico experiments on changes in one-carbon metabolism during the menstrual cycle and pregnancy.

Are Routine Chest Radiographs After Chest Tube Removal in Thoracic Surgery Patients Necessary?

INTRODUCTION: The routine use of chest x-ray (CXR) to evaluate the pleural space after chest tube removal is a common practice driven primarily by surgeon preference and institutional protocol. The results of these postpull CXRs frequently lead to additional interventions that serve only to increase health care costs and resource utilization. We investigated the utility of these postpull CXRs in thoracic surgery patients and assessed their effectiveness in predicting the need for tube replacement. METHODS: Single-institution retrospective study comprising thoracic surgery patients requiring postoperative chest tube drainage over a 3-y period. Demographics and surgical characteristics, including surgical approach, procedure, and procedure type, were recorded. Outcomes included postpull CXR findings, interventions resulting from radiographic abnormalities, and the additional health resource utilization incurred by obtaining these studies on asymptomatic patients. RESULTS: The study included 433 patients. Postpull CXRs were performed in 87.1% of patients, with 33.2% demonstrating an abnormality compared with the prior study. Among these, 65.7% resulted only in repeat imaging and 25.7% resulted in discharge delay. Overall, a total of 13 patients (3%) required chest tube replacement, three during the index hospitalization and the other 10 requiring readmission. Among those requiring chest tube replacement, 75% had normal postpull imaging, and all were symptomatic. CONCLUSIONS: Recurrent pneumothorax after chest tube removal requiring immediate tube reinsertion is relatively rare and does not occur in the absence of symptoms. Our study suggests that routine postpull CXRs have limited clinical utility and can be safely omitted in asymptomatic patients with appropriate clinical observation.

Predictive models for determining treatment response to nonprescription acute medications in migraine: Results from the American Migraine Prevalence and Prevention Study.

OBJECTIVE: To identify predictors of acute treatment response for nonprescription (over-the-counter [OTC]) medications among people with migraine and develop improved models for predicting treatment response. BACKGROUND: Pain freedom and sustained pain relief are important priorities in the acute treatment of migraine. OTC medications are widely used for migraine; however, it is not clear which treatment works best for each patient without going through the trial and error process. METHODS: A prediction model development study was completed using the 2006 American Migraine Prevalence and Prevention Study survey, from participants who were aged ≥18, met criteria and headache day frequency for episodic migraine, did not take prescription medication for migraine, and used ≥1 of the following acute migraine medication classes: acetaminophen, aspirin, NSAIDs, or caffeine containing combination products (CCP). Two items from the Migraine Treatment Optimization Questionnaire were used to evaluate treatment response, adequate 2-h pain freedom (2hPF) and 24-h pain relief (24hPR), which were defined by a response to treatment ≥half the time at 2 h and 24 h post treatment, respectively. We identified predictors of adequate treatment response and developed models to predict probability of treatment response to each medication class. RESULTS: The sample included 3852 participants (3038 [79.0%] females) with an average age of 45.0 years (SD = 12.8). Only 1602/3852 (41.6%) and 1718/3852 (44.6%) of the participants reported adequate 2hPF and 24hPR, respectively. Adequate treatment-response was significantly predicted by lower average headache pain intensity, less cutaneous allodynia, and lower depressive symptom scores. Lower migraine symptom severity was predictive of adequate 2hPF and fewer monthly headache days was predictive of adequate 24hPR. Among participants reporting OTC monotherapy (n = 2168, 56.3%) individuals taking CCP were more likely to have adequate 2hPF (OR = 1.55, 95% CI 1.23-1.95) and 24hPR (OR = 1.79, 95% CI 1.18-1.88) in comparison with those taking acetaminophen. Predictive models were modestly predictive of responders to OTC medications (c-statistics = 0.65; 95% CI 0.62-0.68). CONCLUSION: These results show that response to acute migraine treatments is not optimized in the majority of people with migraine treating with OTC medications. Predictive models can improve our ability to choose the best therapeutic option for individuals with episodic migraine and increase the proportion of patients with optimized response to treatments.