Early Changes in Tumor-Naive Cell-Free Methylomes and Fragmentomes Predict Outcomes in Pembrolizumab-Treated Solid Tumors

Early kinetics of circulating tumor DNA (ctDNA) in plasma predict response to pembrolizumab but typically requires sequencing of matched tumor tissue or fixed gene panels. We analyzed genome-wide methylation and fragment-length profiles using cell-free methylated DNA immunoprecipitation and sequencing (cfMeDIP-seq) in 204 plasma samples from 87 patients before and during treatment with pembrolizumab from a pan-cancer phase II investigator-initiated trial (INSPIRE). We trained a pan-cancer methylation signature using independent methylation array data from The Cancer Genome Atlas to quantify cancer-specific methylation (CSM) and fragment-length score (FLS) for each sample. CSM and FLS are strongly correlated with tumor-informed ctDNA levels. Early kinetics of CSM predict overall survival and progression-free survival, independently of tumor type, PD-L1, and tumor mutation burden. Early kinetics of FLS are associated with overall survival independently of CSM. Our tumor-naïve mutation-agnostic ctDNA approach integrating methylomics and fragmentomics could predict outcomes in patients treated with pembrolizumab.

SIGNIFICANCE

Analysis of methylation and fragment length in plasma using cfMeDIP-seq provides a tumor-naive approach to measure ctDNA with results comparable with a tumor-informed bespoke ctDNA. Early kinetics within the first weeks of treatment in methylation and fragment quantity can predict outcomes with pembrolizumab in patients with various advanced solid tumors. This article is featured in Selected Articles from This Issue, p. 897.

Validating cognitive screening in young people with first-episode psychosis: The CogScreen protocol

AIM

Cognitive impairments are a core feature of first-episode psychosis (FEP) and one of the strongest predictors of long-term psychosocial functioning. Cognition should be assessed and treated as part of routine clinical care for FEP. Cognitive screening offers the opportunity to rapidly identify and triage those in most need of cognitive support. However, there are currently no validated screening measures for young people with FEP. CogScreen is a hybrid effectiveness-implementation study which aims to evaluate the classification accuracy (relative to a neuropsychological assessment as a reference standard), test-retest reliability and acceptability of two cognitive screening tools in young people with FEP.

METHODS

Participants will be 350 young people (aged 12-25) attending primary and specialist FEP treatment centres in three large metropolitan cities (Adelaide, Sydney, and Melbourne) in Australia. All participants will complete a cross-sectional assessment over two sessions including two cognitive screening tools (Screen for Cognitive Impairment in Psychiatry and Montreal Cognitive Assessment), a comprehensive neuropsychological assessment battery, psychiatric and neurodevelopmental assessments, and other supplementary clinical measures. To determine the test-retest reliability of the cognitive screening tools, a subset of 120 participants will repeat the screening measures two weeks later.

RESULTS

The protocol, rationale, and hypotheses for CogScreen are presented.

CONCLUSIONS

CogScreen will provide empirical evidence for the validity and reliability of two cognitive screening tools when compared to a comprehensive neuropsychological assessment. The screening measures may later be incorporated into clinical practice to assist with rapid identification and treatment of cognitive deficits commonly experienced by young people with FEP.

Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis

This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.

Psychological Predictors of Mental Health Difficulties after Pediatric Concussion

Children often experience mental health difficulties after a concussion. Yet, the extent to which a concussion precipitates or exacerbates mental health difficulties remains unclear. This study aimed to examine psychological predictors of mental health difficulties after pediatric concussion. Children (aged 5 to <18 years, M=11.7, SD=3.3) with concussion were recruited in a single-site longitudinal prospective cohort study conducted at a tertiary children's hospital (n=115, 73.9% male). The primary outcomes included internalizing (anxious, depressed, withdrawn behaviors), externalizing (risk-taking, aggression, attention difficulties), and total mental health problems, as measured by the Child Behavior Checklist at two weeks (acute) and three months (post-acute) after concussion. Predictors included parents' retrospective reports of premorbid concussive symptoms (Post-Concussion Symptom Inventory; PCSI), the child and their family's psychiatric history, child-rated perfectionism (Adaptive-Maladaptive Perfectionism Scale), and child-rated resilience (Youth Resilience Measure). Higher premorbid PCSI ratings consistently predicted acute and post-acute mental health difficulties. This relationship was significantly moderated by child psychiatric history. Furthermore, pre-injury learning difficulties, child psychiatric diagnoses, family psychiatric history, lower resilience, previous concussions, female sex, and older age at injury were associated with greater mental health difficulties after concussion. Pre-injury factors accounted for 23.4-39.9% of acute mental health outcomes, and 32.3-37.8% of post-acute mental health outcomes. When acute mental health was factored into the model, a total of 47.0%-68.8% of variance was explained by the model. Overall, in this sample of children, several pre-injury demographic and psychological factors were observed to predict mental health difficulties after a concussion. These findings need to be validated in future research involving larger, multi-site studies that include a broader cohort of children after concussion.

Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A

We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, which is based on a nearly composition-independent energy reconstruction method, achieving unprecedented accuracy. Our analysis reveals the position of the knee at 3.67±0.05±0.15  PeV. Below the knee, the spectral index is found to be -2.7413±0.0004±0.0050, while above the knee, it is -3.128±0.005±0.027, with the sharpness of the transition measured with a statistical error of 2%. The mean logarithmic mass of cosmic rays is almost heavier than helium in the whole measured energy range. It decreases from 1.7 at 0.3 PeV to 1.3 at 3 PeV, representing a 24% decline following a power law with an index of -0.1200±0.0003±0.0341. This is equivalent to an increase in abundance of light components. Above the knee, the mean logarithmic mass exhibits a power law trend towards heavier components, which is reversal to the behavior observed in the all-particle energy spectrum. Additionally, the knee position and the change in power-law index are approximately the same. These findings suggest that the knee observed in the all-particle spectrum corresponds to the knee of the light component, rather than the medium-heavy components.

Cognitive health treatment priorities and preferences among young people with mental illness: The your mind, your choice survey

AIM

Cognitive impairments negatively impact the everyday functioning of young people with mental illness. However, no previous study has asked young people (1) how much of a priority cognitive functioning is within mental health treatment, and (2) what types of cognition-focused treatments are most appealing. The current study aimed to address these questions.

METHODS

Your Mind, Your Choice was a survey-based study involving an Australian sample of young people who were receiving mental health treatment. The survey asked participants to (1) provide demographic and mental health history, (2) rate the importance of 20 recovery domains, including cognition, when receiving mental health treatment, (3) share their experiences of cognitive functioning, and (4) rate their likelihood of trying 14 different behavioural, biochemical, and physical treatments that may address cognitive functioning.

RESULTS

Two-hundred and forty-three participants (Mage  = 20.07, SD = 3.25, range = 15-25, 74% female) completed the survey. Participants reported that addressing cognitive functioning in mental health care was very important (M = 76.33, SD = 20.7, rated on a scale from 0 = not important to 100 = extremely important), ranking cognition among their top six treatment needs. Seventy percent of participants reported experiencing cognitive difficulties, but less than one-third had received treatment for these difficulties. Compensatory training, sleep interventions and psychoeducation were ranked as treatments that participants were most likely to try to support their cognitive functioning.

CONCLUSIONS

Young people with mental ill-health commonly experience cognitive difficulties and would like this to be a focus of treatment; however, this need is often unmet and should be a focus of research and implementation.

Measurement of Ultra-High-Energy Diffuse Gamma-Ray Emission of the Galactic Plane from 10 TeV to 1 PeV with LHAASO-KM2A

The diffuse Galactic γ-ray emission, mainly produced via interactions between cosmic rays and the interstellar medium and/or radiation field, is a very important probe of the distribution, propagation, and interaction of cosmic rays in the Milky Way. In this Letter, we report the measurements of diffuse γ rays from the Galactic plane between 10 TeV and 1 PeV energies, with the square kilometer array of the Large High Altitude Air Shower Observatory (LHAASO). Diffuse emissions from the inner (15°10  TeV). The energy spectrum in the inner Galaxy regions can be described by a power-law function with an index of -2.99±0.04, which is different from the curved spectrum as expected from hadronic interactions between locally measured cosmic rays and the line-of-sight integrated gas content. Furthermore, the measured flux is higher by a factor of ∼3 than the prediction. A similar spectrum with an index of -2.99±0.07 is found in the outer Galaxy region, and the absolute flux for 10≲E≲60  TeV is again higher than the prediction for hadronic cosmic ray interactions. The latitude distributions of the diffuse emission are consistent with the gas distribution, while the longitude distributions show clear deviation from the gas distribution. The LHAASO measurements imply that either additional emission sources exist or cosmic ray intensities have spatial variations.

Examining post-concussion white matter change in a pediatric sample

Diffusion-Weight Imaging (DWI) is increasingly used to explore a range of outcomes in pediatric concussion, particularly the neurobiological underpinnings of symptom recovery. However, the DWI findings within the broader pediatric concussion literature are mixed, which can largely be explained by methodological heterogeneity. To address some of these limitations, the aim of the present study was to utilize internationally- recognized criteria for concussion and a consistent imaging timepoint to conduct a comprehensive, multi-parametric survey of white matter microstructure after concussion. Forty-three children presenting with concussion to the emergency department of a tertiary level pediatric hospital underwent neuroimaging and were classified as either normally recovering (n = 27), or delayed recovering (n = 14) based on their post-concussion symptoms at 2 weeks post-injury.We combined multiple DWI metrics across four modeling approaches using Linked Independent Component Analysis (LICA) to extract several independent patterns of covariation in tissue microstructure present in the study cohort. Our analysis did not identify significant differences between the symptomatic and asymptomatic groups and no component significantly predicted delayed recovery. If white matter microstructure changes are implicated in delayed recovery from concussion, these findings, alongside previous work, suggest that current diffusion techniques are insufficient to detect those changes at this time.

A tera-electron volt afterglow from a narrow jet in an extremely bright gamma-ray burst

Some gamma-ray bursts (GRBs) have a tera-electron volt (TeV) afterglow, but the early onset of this has not been observed. We report observations with the Large High Altitude Air Shower Observatory of the bright GRB 221009A, which serendipitously occurred within the instrument field of view. More than 64,000 photons >0.2 TeV were detected within the first 3000 seconds. The TeV flux began several minutes after the GRB trigger, then rose to a peak about 10 seconds later. This was followed by a decay phase, which became more rapid ~650 seconds after the peak. We interpret the emission using a model of a relativistic jet with half-opening angle ~0.8°. This is consistent with the core of a structured jet and could explain the high isotropic energy of this GRB.

Machine learning accurately quantifies epicardial adipose tissue from non-contrast CT images in coronary artery disease

Funding Acknowledgements

Type of funding sources: Other. Main funding source(s): Industry Alignment Fund – Pre-positioning Programme

Background

Epicardial adipose tissue (EAT) is the visceral fat deposit within the pericardium that surrounds the heart and the coronary arteries. EAT volume measured from non-contrast CT (NCCT) has been demonstrated to be significantly associated with adverse cardiovascular risk,1 particularly in patients with coronary artery disease.2 However, routine measurement of EAT volume is still challenging in clinical practice, as it is a tedious manual process and prone to human error.

Purpose

We aimed to develop a fully automated AI toolkit (i.e., AI EAT) for the quantification of EAT from routine NCCT scans and assess its performance in reference to clinical ground truth.

Methods

This is a multicenter study which performs CT scans in 5000 Asian Admixture patients (APOLLO study NCT05509010). In the current stage of this study, NCCT data analysis were conducted in 551 patients with 26,037 images. AI EAT was developed via a novel deep learning framework using an ensemble region-based UNet. The region-based UNet uses 2 component UNet models to perform segmentation of pericardium at the apex region and non-apex region (middle and basal). EAT volume was obtained by automated thresholding of the voxels (-190 to -30 Hounsfield Unit) within the pericardium (Figure 1). The network was trained in 501 patients with 23,712 NCCT images and tested in 50 patients with 2,325 NCCT images. The performance of AI EAT was evaluated with respect to clinical ground truth using Dice similarity coefficient (DSC), Pearson correlation, and Bland-Altman analysis.

Results

The AI EAT quantification process took less than 10 seconds per subject, compared with 20-30 minutes for expert readers. Compared to clinical ground truth, our AI EAT achieved a DSC of 0.96±0.01 and 0.91±0.02 for pericardium and EAT segmentations, respectively. There was strong agreement between the AI EAT and clinical ground truth in deriving the EAT volume (r=0.99, P&lt;0.001) with minimal error of 7±5%.

Conclusion

End-to-end deep learning system accurately quantifies epicardial adipose tissue in standard NCCT images without manual segmentation.

Constraints on Heavy Decaying Dark Matter from 570 Days of LHAASO Observations

The kilometer square array (KM2A) of the large high altitude air shower observatory (LHAASO) aims at surveying the northern γ-ray sky at energies above 10 TeV with unprecedented sensitivity. γ-ray observations have long been one of the most powerful tools for dark matter searches, as, e.g., high-energy γ rays could be produced by the decays of heavy dark matter particles. In this Letter, we present the first dark matter analysis with LHAASO-KM2A, using the first 340 days of data from 1/2-KM2A and 230 days of data from 3/4-KM2A. Several regions of interest are used to search for a signal and account for the residual cosmic-ray background after γ/hadron separation. We find no excess of dark matter signals, and thus place some of the strongest γ-ray constraints on the lifetime of heavy dark matter particles with mass between 10^{5} and 10^{9}  GeV. Our results with LHAASO are robust, and have important implications for dark matter interpretations of the diffuse astrophysical high-energy neutrino emission.

[Intervention effects of drugs on GSH and SOD enzyme activity of rats kidney acutely poisoned by nickel carbonyl]

Objective: To evaluate the intervention effect of various drugs on glutathione (GSH) and superoxide dismutase (SOD) enzyme activity of rats kidney with acute nickel carbonyl poisoning. Methods: In January 2019, The 250 SPF male SD rats were randomly divided into normal control group (n=10) , poisoned group (n=40) and treatment groups (n=200) according to the random number table method. And the treatment groups were divided into methylprednisolone group (20 mg/kg) , DDC group (100 mg/kg) , sodium selenite group (10 μmol/kg) , Shenfu huiyang decoction group (0.25 ml) and methylprednisolone combined with DDC group (100 mg/kg) , with 40 mice in each group. Except for the normal control group, rats in the other groups were exposed to nickel carbonyl for 30 min, at 4 h and 30 h after exposure, the rats in each treatment group were intraperitoneally injected with corresponding drugs, and kidney tissues were collected 3 d and 7 d after administration, with 10 mice in each group. The activities of GSH and SOD in kidney were measured by enzyme-linked immunosorbent assay, and using electron microscopy observe ultrastructure changes. Results: Compared to the control group, the activities of GSH and SOD enzyme of poisoned group were significantly decreased at 3 d or 7 d after 4 h or 30 h exposure, and the difference was statistically significant (P=0.000, 0.031, 0.001, 0.033) , the epithelial nuclei of proximal convoluted tubules were pyknosis and lysosome hyperplasia in the cytoplasm. And compared to poisoned group, the activities of GSH and SOD enzyme of methylprednisolone+DDC group were significantly increased at treatment with 7 d after 4 h exposure, the difference was statistically significant (P=0.022, 0.000) , and the activities of GSH and SOD enzyme of methylprednisolone and enzyme of methylprednisolone+DDC group were significantly higher at 7 days than at 3 days, the difference was statistically significant (P=0.020, 0.017, 0.018, 0.033) . The results of electron microscopy showed that the cell nuclei and cytoplasmic organelles of proximal convolute tubule were almost restored to normal tissue level of both methylprednisolone group and methylprednisolone+DDC group. Conclusion: The methylprednisolone and methylprednisolone+DDC have obvious repair effect on renal enzyme activity level of rats with acute nickel carbonyl poisoning, and the treatment effect is better for a long time of medication.

Treatments for objective and subjective cognitive functioning in young people with depression: Systematic review of current evidence

AIM

Cognitive deficits are recognized features of depressive disorders in youth aged 12-25. These deficits are distressing, predict functional impairment and limit the effectiveness of psychological therapies. Cognitive enhancement using behavioural, biochemical or physical treatments may be useful in young people with depression, but studies have not been synthesized. The aim was to systematically review the evidence for treatments for objective and subjective cognitive functioning, and their acceptability and functional outcomes in people aged 12-25 with depression.

METHOD

Three electronic databases were searched for articles using pre-specified criteria. Pharmacological treatments were not eligible. Risk of bias was rated using the Cochrane Collaboration's revised risk-of-bias tool. Dual full-text article screening, data extraction and quality ratings were completed.

RESULTS

Twelve studies were included for review (median participant age: 20.39 years), five of which were randomized-controlled trials (RCTs). Sample sizes were generally small (median = 23; range: 9-46). Eight studies investigated behavioural treatments including aerobic exercise, cognitive training and education or strategy-based methods. Four studies examined repetitive transcranial magnetic brain stimulation (rTMS). Most behavioural treatments revealed preliminary evidence of improved cognitive function in youth depression. Consent rates were greatest for exercise- and education-based approaches, which may indicate higher acceptability levels. Findings from rTMS trials were mixed, with only half showing cognitive improvement. Functional outcomes were reported by three behavioural treatment trials and one rTMS trial, with functional improvement reported only in the former. Some concern of risk of bias was found in each RCT.

CONCLUSION

Behavioural treatments, such as exercise, cognitive training and education/strategy-focused techniques, show encouraging results and appear to be acceptable methods of addressing cognitive deficits in youth depression based on participation rates. Brain stimulation and biochemical treatments (e.g., nutrient-based treatment) require further investigation.

Intelligence trajectories in individuals at ultra-high risk for psychosis: An 8-year longitudinal analysis

Cognitive impairment is a well-documented predictor of transition to a full-threshold psychotic disorder amongst individuals at ultra-high risk (UHR) for psychosis. However, less is known about whether change in cognitive functioning differs between those who do and do not transition. Studies to date have not examined trajectories in intelligence constructs (e.g., acquired knowledge and fluid intelligence), which have demonstrated marked impairments in individuals with schizophrenia. This study aimed to examine intelligence trajectories using longitudinal data spanning an average of eight years, where some participants completed assessments over three time-points. Participants (N = 139) at UHR for psychosis completed the Wechsler Abbreviated Scale of Intelligence (WASI) at each follow-up. Linear mixed-effects models mapped changes in WASI Full-Scale IQ (FSIQ) and T-scores on Vocabulary, Similarities, Block Design, and Matrix Reasoning subtests. The sample showed stable and improving trajectories for FSIQ and all subtests. There were no significant differences in trajectories between those who did and did not transition to psychosis and between individuals with good and poor functional outcomes. However, although not significant, the trajectories of the acquired knowledge subtests diverged between transitioned and non-transitioned individuals (β = -0.12, 95 % CI [-0.29, 0.05] for Vocabulary and β = -0.14, 95 % CI [-0.33, 0.05] for Similarities). Overall, there was no evidence for long-term deterioration in intelligence trajectories in this UHR sample. Future studies with a larger sample of transitioned participants may be needed to explore potential differences in intelligence trajectories between UHR transition groups and other non-psychosis outcomes.

Effects of omega-3 polyunsaturated fatty acid supplementation on cognitive functioning in youth at ultra-high risk for psychosis: secondary analysis of the NEURAPRO randomised controlled trial

BACKGROUND

Cognitive impairments are well-established features of psychotic disorders and are present when individuals are at ultra-high risk for psychosis. However, few interventions target cognitive functioning in this population.

AIMS

To investigate whether omega-3 polyunsaturated fatty acid (n-3 PUFA) supplementation improves cognitive functioning among individuals at ultra-high risk for psychosis.

METHOD

Data (N = 225) from an international, multi-site, randomised controlled trial (NEURAPRO) were analysed. Participants were given omega-3 supplementation (eicosapentaenoic acid and docosahexaenoic acid) or placebo over 6 months. Cognitive functioning was assessed with the Brief Assessment of Cognition in Schizophrenia (BACS). Mixed two-way analyses of variance were computed to compare the change in cognitive performance between omega-3 supplementation and placebo over 6 months. An additional biomarker analysis explored whether change in erythrocyte n-3 PUFA levels predicted change in cognitive performance.

RESULTS

The placebo group showed a modest greater improvement over time than the omega-3 supplementation group for motor speed (η_p² = 0.09) and BACS composite score (η_p² = 0.21). After repeating the analyses without individuals who transitioned, motor speed was no longer significant (η_p² = 0.02), but the composite score remained significant (η_p² = 0.02). Change in erythrocyte n-3 PUFA levels did not predict change in cognitive performance over 6 months.

CONCLUSIONS

We found no evidence to support the use of omega-3 supplementation to improve cognitive functioning in ultra-high risk individuals. The biomarker analysis suggests that this finding is unlikely to be attributed to poor adherence or consumption of non-trial n-3 PUFAs.

Abstract 3385: Pre-diagnosis plasma cell-free DNA methylation profiling reveals signatures of cancers up to7 years prior to clinical detection

Cancer survival rates are significantly improved when detected at early stages, particularly when the tumour is still localised to the tissue of origin. However, effective screening tools for early cancer detection is currently limited to a subset of cancer types. Profiling cell-free DNA (cfDNA) patterns has emerged as a prominent non-invasive biomarker for detection and subtyping of cancers. However, owing to difficulties in observing the early development of human malignancies as cancers are often detected once they become symptomatic, most cancer biomarker and evolution studies to date have primarily examined the genomics from solid tumour or liquid biopsies following a diagnosis. Utilizing cfDNA as a screening tool for early cancer detection requires profiling of blood plasma samples collected from asymptomatic individuals prior to the diagnosis of cancers to enable assessment of the earliest detectability and predictive performance of potential biomarkers. Here, we leverage the Canadian Partnership for Tomorrow’s Health Project (CanPaTH), to profile blood plasma collected prior to the clinical detection of underlying cancers. Specifically, we use cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq), a highly sensitive assay for profiling cfDNA methylomes, to profile over 300 blood plasma samples collected up to seven years prior to the detection of a breast, prostate or pancreatic cancer, in addition to matched controls with no history of cancer free through follow-up. We identified differentially methylated signatures in pre-diagnosis cfDNA that discriminated cancer-free controls from pre-diagnosis cancer cases up to seven years before diagnosis, and demonstrated that these markers were reflective of differentially methylated in cancer tissue relative to normal tissue and peripheral blood leukocytes. Further, predictive modelling reveals that cfDNA methylation markers in blood are predictive of pre-diagnosis breast cancer cases, achieving an average test AUROC of 0.75 (95% CI: 0.70 - 0.80). Predictive models trained solely with pre-diagnosis cfDNA methylation samples were also predictive of prostate and pancreatic cancer samples collected following diagnosis, achieving an average test AUROCs of 0.95 (95% CI: 0.93-0.96) and 0.96 (95% CI: 0.94-0.97) respectively. In our current studies, we focus specifically on breast, prostate and pancreatic cancer cases, and are extending this to further pan-cancer applications in subsequent investigations.

Citation Format: Nicholas Cheng, David Soave, Kimberly Skead, Tom Ouellette, Scott Bratman, Daniel De Carvalho, Philip Awadalla. Pre-diagnosis plasma cell-free DNA methylation profiling reveals signatures of cancers up to7 years prior to clinical detection [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3385.

Total bone mineral density is inversely associated with stroke: a family osteoporosis cohort study in rural China

BACKGROUND

The relationship of osteoporosis and stroke is still not fully clarified. Apart from the well-known risk factors for stroke, bone mineral density (BMD) has gained more interest in recent years.

AIM

To further elucidate the relationship between BMD and stroke risk, a prospective cohort study in the Chinese rural population was conducted.

DESIGN

Retrospective analysis of a family osteoporosis cohort.

METHODS

Our subjects were selected from an osteoporosis cohort conducted in Anqing, China. All participants underwent a questionnaire assessment, clinical examinations and laboratory assessments. During the follow-up period, the number of people who had a stroke was recorded. Generalized estimating equation regression analysis was performed to determine the significance of the association between BMD and stroke.

RESULTS

A total of 17868 people were included. A two-way interaction test of sex and BMD on stroke was significant (P = 0.002). There was a significant difference in BMD and stroke morbidity in the male group (P = 0.003). When BMD was assessed as quartiles and the lowest quartile was used as reference, a significantly lower risk for stroke was observed in Q2-4. Notably, no significant difference was observed in female participants with adjusted odds ratio (P > 0.05). The P-value for interaction was calculated. The body mass index (P = 0.014) and waist-to-hip ratio (P = 0.027) were found to be significantly associated with BMD and stroke risk in female participants.

CONCLUSIONS

In Chinese rural areas, total BMD may negatively correlated with stroke, especially in men.

Exploring Lorentz Invariance Violation from Ultrahigh-Energy γ Rays Observed by LHAASO

Recently, the LHAASO Collaboration published the detection of 12 ultrahigh-energy γ-ray sources above 100 TeV, with the highest energy photon reaching 1.4 PeV. The first detection of PeV γ rays from astrophysical sources may provide a very sensitive probe of the effect of the Lorentz invariance violation (LIV), which results in decay of high-energy γ rays in the superluminal scenario and hence a sharp cutoff of the energy spectrum. Two highest energy sources are studied in this work. No signature of the existence of the LIV is found in their energy spectra, and the lower limits on the LIV energy scale are derived. Our results show that the first-order LIV energy scale should be higher than about 10^{5} times the Planck scale M_{Pl} and that the second-order LIV scale is >10^{-3}M_{Pl}. Both limits improve by at least one order of magnitude the previous results.

Application of combined multimodal neuroimaging and video-electroencephalography in intractable epilepsy patients for improved post-surgical outcome prediction

AIM

To investigate the ability of a multidisciplinary approach that combines multimodal neuroimaging with video-electroencephalography (v-EEG) to predict post-surgical outcomes in patients with intractable epilepsy, and explore prognostic predictors for these patients.

MATERIALS AND METHODS

Fifty-eight patients with intractable epilepsy who underwent surgery between March 2016 and October 2019 were reviewed retrospectively. Demographic, clinical, v-EEG, neuroimaging, surgical, and regular follow-up seizure outcome data were collected. Forty-six patients with a follow-up of at least 12 months were graded by Engel scores. Univariate and multivariate analyses were applied to explore prognostic factors that could predict post-surgical seizure outcomes.

RESULTS

Of the 58 patients, 28 were males. The median age was 27 years, the median age at first seizure was 11 years, and the median duration of seizures was 10 years. The Kaplan-Meier log-rank test showed that regardless of whether the follow-up duration was considered, epilepsy type, v-EEG, PET/CT, image post-processing methods, and a multidisciplinary approach that combined multimodal imaging with v-EEG were all correlated with seizure outcomes. Multivariate analysis found that the multidisciplinary approach was an independent predictor of post-surgical outcomes in patients with intractable epilepsy (hazard ratio = 11.400, 95% confidence interval = 2.249-57.787, p=0.003).

CONCLUSIONS

The present study showed that the multidisciplinary approach could provide independent prognostic information for patients with intractable epilepsy undergoing surgery. This approach has strong potential for the easier selection of patients to undergo surgical treatment and accurate prognostication.

Cognitive strengths in first episode psychosis: a thematic analysis of clinicians' perspectives

BACKGROUND

Cognitive deficits are associated with poor functional outcomes in individuals recovering from a first episode of psychosis (FEP). Existing treatments that target cognitive deficits in FEP may enhance cognitive function, but improvements to real-world functioning are less consistent. Furthermore, these treatments may not adequately address the personal recovery goals of young people attending FEP services. A novel cognitive strengths-based approach may overcome these shortcomings.

METHODS

This qualitative study used semi-structured interviews to explore clinicians' (N = 12) perspectives toward the potential development of a cognitive strengths-based assessment or treatment in FEP. The interviews were analysed using thematic analysis.

RESULTS

Five higher-order themes emerged: (1) pro-strengths attitude despite unfamiliarity and minimal use, (2) default to a cognitive deficit lens, (3) potential benefits of a cognitive strengths approach, (4) potential risks and barriers, and (5) considerations for successful implementation. While clinicians acknowledged their current deficit approach, they supported implementing a cognitive strengths assessment or treatment and highlighted their potential benefits for the personal recovery needs of young people with FEP.

CONCLUSIONS

These findings suggest that a deficit-focused approach to cognitive function amongst clinicians may be common practice in FEP services. Nevertheless, a cognitive strengths approach was viewed favourably by clinicians and may represent a novel method of supporting personal recovery. Thus, the design and implementation of a cognitive strengths approach may be worthwhile. Future exploration of other stakeholder perspectives, such as young people with FEP, is essential.

Ready-to-drink protein beverages: Effects of milk protein concentration and type on flavor

This study evaluated the role of protein concentration and milk protein ingredient [serum protein isolate (SPI), micellar casein concentrate (MCC), or milk protein concentrate (MPC)] on sensory properties of vanilla ready-to-drink (RTD) protein beverages. The RTD beverages were manufactured from 5 different liquid milk protein blends: 100% MCC, 100% MPC, 18:82 SPI:MCC, 50:50 SPI:MCC, and 50:50 SPI:MPC, at 2 different protein concentrations: 6.3% and 10.5% (wt/wt) protein (15 or 25 g of protein per 237 mL) with 0.5% (wt/wt) fat and 0.7% (wt/wt) lactose. Dipotassium phosphate, carrageenan, cellulose gum, sucralose, and vanilla flavor were included. Blended beverages were preheated to 60°C, homogenized (20.7 MPa), and cooled to 8°C. The beverages were then preheated to 90°C and ultrapasteurized (141°C, 3 s) by direct steam injection followed by vacuum cooling to 86°C and homogenized again (17.2 MPa first stage, 3.5 MPa second stage). Beverages were cooled to 8°C, filled into sanitized bottles, and stored at 4°C. Initial testing of RTD beverages included proximate analyses and aerobic plate count and coliform count. Volatile sulfur compounds and sensory properties were evaluated through 8-wk storage at 4°C. Astringency and sensory viscosity were higher and vanillin flavor was lower in beverages containing 10.5% protein compared with 6.3% protein, and sulfur/eggy flavor, astringency, and viscosity were higher, and sweet aromatic/vanillin flavor was lower in beverages with higher serum protein as a percentage of true protein within each protein content. Volatile compound analysis of headspace vanillin and sulfur compounds was consistent with sensory results: beverages with 50% serum protein as a percentage of true protein and 10.5% protein had the highest concentrations of sulfur volatiles and lower vanillin compared with other beverages. Sulfur volatiles and vanillin, as well as sulfur/eggy and sweet aromatic/vanillin flavors, decreased in all beverages with storage time. These results will enable manufacturers to select or optimize protein blends to better formulate RTD beverages to provide consumers with a protein beverage with high protein content and desired flavor and functional properties.