Using Continuous Glucose Monitoring to Passively Classify Naturalistic Binge Eating and Vomiting Among Adults With Binge-Spectrum Eating Disorders: A Preliminary Investigation.

OBJECTIVE: Binge eating and self-induced vomiting are common, transdiagnostic eating disorder (ED) symptoms. Efforts to understand these behaviors in research and clinical settings have historically relied on self-report measures, which may be biased and have limited ecological validity. It may be possible to passively detect binge eating and vomiting using data collected by continuous glucose monitors (CGMs; minimally invasive sensors that measure blood glucose levels), as these behaviors yield characteristic glucose responses. METHOD: This study developed machine learning classification algorithms to classify binge eating and vomiting among 22 adults with binge-spectrum EDs using CGM data. Participants wore Dexcom G6 CGMs and reported eating episodes and disordered eating symptoms using ecological momentary assessment for 2 weeks. Group-level random forest models were generated to distinguish binge eating from typical eating episodes and to classify instances of vomiting. RESULTS: The binge eating model had accuracy of 0.88 (95% CI: 0.83, 0.92), sensitivity of 0.56, and specificity of 0.90. The vomiting model demonstrated accuracy of 0.79 (95% CI: 0.62, 0.91), sensitivity of 0.88, and specificity of 0.71. DISCUSSION: Results suggest that CGM may be a promising avenue for passively classifying binge eating and vomiting, with implications for innovative research and clinical applications.

Behavioral weight loss treatment for adults with binge-eating disorder: A qualitative analysis of patients' perspectives and experiences.

OBJECTIVE: Understanding the perspectives of behavioral weight loss (BWL) participants could inform whether, how, and for whom BWL should be offered. METHOD: All 126 participants in a clinical trial of BWL for adults with binge-eating disorder (BED) and overweight/obesity were contacted about a qualitative study. 45 participants, 11 of whom had dropped out of the parent study, completed qualitative interviews. The interview guide was developed using data from a survey of providers who offer Health at Every Size and other weight-neutral lifestyle interventions. Questions were phrased to invite even the most negative responses. Questions focused on participants' experiences of weight stigma during treatment, perceptions of BWL's calorie and WL goals, and opinions of BWL and weight-neutral interventions. RESULTS: We identified four themes using thematic analysis: (1) BWL did not perpetuate weight stigma. (2) Calorie and WL goals did not exacerbate participants' binge eating. (3) Patients should have the right to pursue any treatment that aligns with their personal goals. (4) BWL can improve participants' overall health. DISCUSSION: BWL participants with BED and overweight/obesity want others to have access to a program that can reduce both weight and binge eating. Participants emphasized that no treatment works for everyone, and they all agreed that BWL had not perpetuated weight stigma. Fewer than 20% of participants considered the program's calorie and WL goals to be harmful; most participants viewed those goals as achievable and helpful, and many asserted that their participation in BWL had improved their overall health. PUBLIC SIGNIFICANCE: We interviewed adults with binge-eating disorder and overweight/obesity who had participated in a behavioral weight loss (BWL) program. Our participants wanted others in their position to have access to BWL because it aims to reduce both weight and binge-eating frequency. Efforts should be made to provide patients, clinicians, and policymakers with the knowledge that supervised, evidence-based BWL is an effective and desired treatment choice for this population.

Absolute quantification methods for Prostate-Specific antigen by Isotope-Dilution mass spectrometry.

Prostate-specific antigen (PSA) is a diagnostic marker for prostate cancer; however, because it is a macromolecular glycoprotein with complex and diverse isoforms, it is difficult to standardize clinical PSA detection results. To overcome this limitation, herein, naturally extracted PSA was characterized as free PSA (fPSA), and the PSA solution was successfully quantified by amino acid analysis coupled with isotope-dilution mass spectrometry (AAA-IDMS) and enzymatic hydrolysis-IDMS; the results could be traced to the International System of Units (SI) through absolutely quantified amino acids and peptides. After protein hydrolysis or digestion condition optimization, amino acids and signature peptides were detected by liquid chromatography-mass spectrometry with the multiple reaction monitoring mode. The mass concentrations of PSA obtained through AAA-IDMS and enzymatic hydrolysis-IDMS were (75.3 ±â€¯1.5) µg/g (k = 2) and (74.7 ±â€¯1.7) µg/g (k = 2), respectively. The PSA weighted average mass concentration was (75.0 ±â€¯1.6) µg/g (k = 2). The consistency assessment between the two methods was successfully validated, ensuring absolute quantitative accuracy. This study lays the foundation for the development of high-order reference materials for the clinical detection of PSA, which can improve the accuracy, reliability, and consistency of clinical PSA test results.

Patients' perceptions of post-treatment factors that influenced skill use after cognitive-behavioral therapy for bulimia nervosa spectrum disorders.

OBJECTIVE: Deterioration rate among patients with bulimia-spectrum eating disorders (BN-EDs) after receiving enhanced cognitive-behavioral therapy (CBT-E) remains high. Previous studies identified body image concerns, environmental triggers, lack of social support, lack of resources, comorbidity, and discontinued skill use as predictors of deterioration. However, no studies have qualitatively explored patients' perceptions of how these factors influenced their skill use and led to deterioration after receiving outpatient CBT. METHODS: This study aimed to qualitatively explore (1) what post-treatment factors patients believe contributed to deterioration, and (2) whether patients continued to practice the CBT skills they learned from treatment and identify motivators and barriers to post-treatment skill use. Twelve participants who had previously completed 16 sessions of CBT for their BN-EDs and experienced at least modest treatment responses participated in the qualitative interviews. RESULTS: Four themes were identified from the qualitative interviews. Post-treatment deterioration was primarily driven by decreased skill use due to a perceived sudden loss of accountability and continued body dissatisfaction after treatment ended. Discontinued practice of binge analysis led to decreased awareness of the relationship between poor skill use and ED behaviors. Difficulty accessing resources impeded participants from receiving external help to address challenges in skill practice, thus also contributing to deterioration. DISCUSSION: Findings suggested that outpatient treatment for BN-EDs patients should emphasize more on body image concern, and deterioration prevention for outpatient CBT-E should focus on building self-accountability to keep practicing skills after treatment ends. PUBLIC SIGNIFICANCE: This study was the first to qualitatively explore post-treatment factors influencing skill use and deterioration in patients with bulimia-spectrum eating disorders after they completed outpatient CBT. Findings indicated that decreased skill use was a primary driver of post-treatment deterioration, and that relapse prevention for outpatient CBT for BN-EDs should focus on enhancing patients' self-accountability to continue practicing therapeutic skills independently after treatment ended.

Early reduction in anxiety sensitivity predicts greater reduction in disordered eating and trait anxiety during treatment for bulimia nervosa.

OBJECTIVE: Anxiety sensitivity (AS), the trait-like fear of symptoms of anxiety, has been associated with eating disorder (ED) pathology broadly, bulimia nervosa (BN) symptoms specifically, and the anxiety disorders that are commonly comorbid with BN. AS, especially for physical symptoms specifically, maybe a risk and maintenance factor for BN and comorbid anxiety. METHOD: Adult participants with BN (n = 44) in a clinical trial comparing CBT to mindfulness and acceptance-based treatment (MABT) reported ED symptoms, trait anxiety, and AS through treatment and follow-up. We predicted that greater early reduction (i.e., within the first month of treatment) in AS would predict greater reductions in ED symptoms and trait anxiety at post-treatment and follow-up. RESULTS: Early reductions in AS for physical concerns predicted lower ED symptoms and trait anxiety at post-treatment but not follow-up. Exploratory analyses indicated that treatment groups did not differ in either early or total change in AS, controlling for baseline AS. DISCUSSION: Early reductions in AS may be an important treatment target for BN, and may additionally support reductions in anxiety. Future research should identify which components of CBT and MABT best target AS, to deliver these components early in treatment, when they can have maximum effect. PUBLIC SIGNIFICANCE: Anxiety sensitivity, the fear of symptoms of anxiety, is associated with eating disorders (ED). In this study, participants in treatment for bulimia nervosa reported ED symptoms, trait anxiety, and anxiety sensitivity through treatment and follow-up. Greater early reductions in anxiety sensitivity predicted lower ED symptoms and trait anxiety at post-treatment. Future research should identify which elements of treatment best target anxiety sensitivity, to deliver them early in treatment.

Unveiling diverse coordination-defined electronic structures of reconstructed anatase TiO2(001)-(1 × 4) surface.

Transition metal oxides (TMOs) exhibit fascinating physicochemical properties, which originate from the diverse coordination structures between the transition metal and oxygen atoms. Accurate determination of such structure-property relationships of TMOs requires to correlate structural and electronic properties by capturing the global parameters with high resolution in energy, real, and momentum spaces, but it is still challenging. Herein, we report the determination of characteristic electronic structures from diverse coordination environments on the prototypical anatase-TiO2(001) with (1 × 4) reconstruction, using high-resolution angle-resolved photoemission spectroscopy and scanning tunneling microscopy/atomic force microscopy, in combination with density functional theory calculation. We unveil that the shifted positions of O 2s and 2p levels and the gap-state Ti 3p levels can sensitively characterize the O and Ti coordination environments in the (1 × 4) reconstructed surface, which show distinguishable features from those in bulk. Our findings provide a paradigm to interrogate the intricate reconstruction-relevant properties in many other TMO surfaces.

Integrated model of ozone mass transfer and oxidation kinetic: Construction, solving and analysis.

Ozone-based advanced oxidation process (O3-AOPs) is rapidly evolving, but the surge of emerging pollutants brings new challenges for ozone oxidation research. Herein, we proposed a state-of-the-art model for simultaneously analyzing both ozone mass transfer and oxidation kinetics during ozone oxidation of emerging organic contaminants. The numerical solution and graphical representations of the integrated model were utilized to analyze the dynamics of ozone and pollutant concentration. An in-depth analysis of the integrated model revealed that the reaction rate constants in this present study were higher than previously reported apparent reaction rate constants, and catalysts were not always necessary. Finally, we developed an installable mobile application (APP) that allowed the simulation of the dynamic process for ozone oxidizing organic pollutants in the laboratory, which offered theoretical support for the selection of experimental conditions. The results of model simulation not only provide scientific explanations for counter-intuitive experimental phenomena, but also optimized experimental conditions to enhance ozone utilization.

Facial feedback manipulation influences the automatic detection of unexpected emotional body expressions.

Unexpected or changing facial expressions are known to be able to engage more automatic processing than frequently occurring facial expressions, thereby inducing a neural differential wave response known as expression mismatch negativity (EMMN). Recent studies have shown that EMMN can be modulated by the observer's facial feedback (i.e., feedback from their own facial movements). A similar EMMN activity has been discovered for body expressions, but thus far only a few emotion types have been investigated. It is unknown whether the EMMNs evoked by body expressions can be influenced by facial feedback. To explore this question, we recorded EEG activity of 29 participants in the reverse oddball paradigm. Here two unexamined categories of body expressions were presented, happy and sad, placed in two paired stimulus sequences: in one the happy body was presented with a probability of 80% (standards) while the sad body was presented with a probability of 20% (deviants), and in the other the probabilities were reversed. The facial feedback was manipulated by different pen holding conditions (i.e., participants holding the pen with the teeth, lips, or nondominant hand). The nonparametric cluster permutation test revealed significant happy and sad body-related EMMN (bEMMN) activities. The happy-bEMMN were more negative than sad-bEMMN within the range of 100-150 ms. Additionally, the bEMMN amplitude of both emotions is modulated by the facial feedback conditions. These results expand the range of emotional types applicable to bEMMN and provide evidence for the validity of the facial feedback hypothesis across emotional carriers.

Subchronic toxicity evaluation of Huobahuagen extract and plasma metabolic profiling analysis combined with conventional pathology methods.

Huobahua, namely, Tripterygium hypoglaucum (Levl.) Hutch, known as a traditional Chinese herbal medicine, especially its underground parts, has been widely developed into several Tripterygium agents for the treatment of rheumatoid arthritis and other autoimmune diseases. It has sparked wide public concern about its safety, such as multi-organ toxicity. However, the toxic characteristics and damage mechanism of Huobahuagen extract (HBHGE) remain unclear. In the present study, subchronic oral toxicity study of HBHGE (10.0 g crude drug/kg/day for 12 weeks) was performed in male rats. Hematological, serum biochemical, and histopathological parameters, urinalysis, and plasma metabolic profiling were assessed. The single-dose subchronic toxicity results related to HBHGE exhibited obvious toxicity to the testis and epididymis of male rats. Furthermore, plasma metabolomics analysis suggested that a series of metabolic disorders were induced by oral administration of HBHGE, mainly focusing on amino acid (glutamate, phenylalanine, and tryptophan) metabolisms, pyrimidine metabolism, glutathione metabolism, and steroid hormone biosynthesis. Moreover, it appeared that serum testosterone in male rats treated with HBHGE for 12 weeks, decreased significantly, and was susceptible to the toxic effects of HBHGE. Taken together, conventional pathology and plasma metabolomics for preliminarily exploring subchronic toxicity and underlying mechanism can provide useful information about the reduction of toxic risks from HBHGE and new insights into the development of detoxification preparations.

ConLBS: An Attack Investigation Approach Using Contrastive Learning with Behavior Sequence.

Attack investigation is an important research field in forensics analysis. Many existing supervised attack investigation methods rely on well-labeled data for effective training. While the unsupervised approach based on BERT can mitigate the issues, the high degree of similarity between certain real-world attacks and normal behaviors makes it challenging to accurately identify disguised attacks. This paper proposes ConLBS, an attack investigation approach that combines the contrastive learning framework and multi-layer transformer network to realize the classification of behavior sequences. Specifically, ConLBS constructs behavior sequences describing behavior patterns from audit logs, and a novel lemmatization strategy is proposed to map the semantics to the attack pattern layer. Four different augmentation strategies are explored to enhance the differentiation between attack and normal behavior sequences. Moreover, ConLBS can perform unsupervised representation learning on unlabeled sequences, and can be trained either supervised or unsupervised depending on the availability of labeled data. The performance of ConLBS is evaluated in two public datasets. The results show that ConLBS can effectively identify attack behavior sequences in the cases of unlabeled data or less labeled data to realize attack investigation, and can achieve superior effectiveness compared to existing methods and models.

Seeking the neural representation of statistical properties in print during implicit processing of visual words.

Statistical learning (SL) plays a key role in literacy acquisition. Studies have increasingly revealed the influence of distributional statistical properties of words on visual word processing, including the effects of word frequency (lexical level) and mappings between orthography, phonology, and semantics (sub-lexical level). However, there has been scant evidence to directly confirm that the statistical properties contained in print can be directly characterized by neural activities. Using time-resolved representational similarity analysis (RSA), the present study examined neural representations of different types of statistical properties in visual word processing. From the perspective of predictive coding, an equal probability sequence with low built-in prediction precision and three oddball sequences with high built-in prediction precision were designed with consistent and three types of inconsistent (orthographically inconsistent, orthography-to-phonology inconsistent, and orthography-to-semantics inconsistent) Chinese characters as visual stimuli. In the three oddball sequences, consistent characters were set as the standard stimuli (probability of occurrence p = 0.75) and three types of inconsistent characters were set as deviant stimuli (p = 0.25), respectively. In the equal probability sequence, the same consistent and inconsistent characters were presented randomly with identical occurrence probability (p = 0.25). Significant neural representation activities of word frequency were observed in the equal probability sequence. By contrast, neural representations of sub-lexical statistics only emerged in oddball sequences where short-term predictions were shaped. These findings reveal that the statistical properties learned from long-term print environment continues to play a role in current word processing mechanisms and these mechanisms can be modulated by short-term predictions.

MCW: A Generalizable Deepfake Detection Method for Few-Shot Learning.

With the development of deepfake technology, deepfake detection has received widespread attention. Although some deepfake forensics techniques have been proposed, they are still very difficult to implement in real-world scenarios. This is due to the differences in different deepfake technologies and the compression or editing of videos during the propagation process. Considering the issue of sample imbalance with few-shot scenarios in deepfake detection, we propose a multi-feature channel domain-weighted framework based on meta-learning (MCW). In order to obtain outstanding detection performance of a cross-database, the proposed framework improves a meta-learning network in two ways: it enhances the model's feature extraction ability for detecting targets by combining the RGB domain and frequency domain information of the image and enhances the model's generalization ability for detecting targets by assigning meta weights to channels on the feature map. The proposed MCW framework solves the problems of poor detection performance and insufficient data compression resistance of the algorithm for samples generated by unknown algorithms. The experiment was set in a zero-shot scenario and few-shot scenario, simulating the deepfake detection environment in real situations. We selected nine detection algorithms as comparative algorithms. The experimental results show that the MCW framework outperforms other algorithms in cross-algorithm detection and cross-dataset detection. The MCW framework demonstrates its ability to generalize and resist compression with low-quality training images and across different generation algorithm scenarios, and it has better fine-tuning potential in few-shot learning scenarios.

Integrating monthly spring tidal waves into estuarine carbon budget of meta-ecosystems.

The contribution of lateral carbon (C) to hydrological processes is well known for its ecological functions in the estuarine C budget across the terrestrial-aquatic interfaces. However, sampling of individual daily tides during multiple months or seasons in heterogeneous patches of landscape makes extrapolation from days to months or seasons challenging. In this paper, we examine the terrestrial-aquatic lateral hydrological C flux for an estuarine marsh where monthly tides, including consecutive daily spring tides, were measured over the course of an entire year. We found a significant correlation between imported and exported hydrological dissolved C, both dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC), although a similar correlation was not found for particulate organic carbon (POC). Based on a total of 44 sampling trips over a year, this saltmarsh appeared to be a net exporter of DOC and DIC but a net sink of POC. Furthermore, the lateral hydrological C budget functioned as a limited lateral C sink in terms of organic C (i.e., ΔPOC and ΔDOC), while the marsh functioned as a small lateral C source. Our findings highlight the importance of lateral hydrologic inflows/outflows in wetland C budgets of land-water interfaces, especially in those characterized by the meta-ecosystem framework. Surprisingly, different C species responded unequally to the lateral hydrological C budget, suggesting that a conceptual realization of meta-ecosystem is a powerful theoretical framework to extend the outwelling hypothesis.

The prevalence of depression, anxiety, and sleep disturbances in patients with neuromyelitis optica spectrum disorders (NMOSD): A systematic review and meta-analysis.

OBJECTIVE: To estimate pooled prevalence of depression, anxiety, and sleep disturbances in neuromyelitis optica spectrum disorders (NMOSD) cases. METHODS: Electronic database of PubMed (MEDLINE), the Cochrane Central Register of Controlled Trials (CENTRAL), Embase and Web of Science ware systematically searched to identify relevant studies published not later than June 10, 2022. Specifically, original articles that reported the prevalence of depression, anxiety and sleep disturbances were selected. All pooled prevalence and 95 % confidence intervals (CIs) were calculated using a random-effects model. Publication bias was examined using funnel plots, and sensitivity analysis was used to explore the stability of the pooled results. RESULTS: A total of 31 studies involving 4213 participants were included in this review. The pooled prevalence of depression was 40 % (95 % CI: 32-49 %), the pooled prevalence of anxiety was 45 % (95 % CI: 24-66 %), and the pooled prevalence of sleeping disturbances was 55 % (95 % CI: 46-64 %). The depression and anxiety prevalence estimates varied based on different screening tools. CONCLUSIONS: There is a high prevalence of depression, anxiety, and sleep disturbances among NMOSD. These findings underscore the importance of regular monitoring of psychological status in NMOSD as well as the need for preventive approaches, early diagnosis, and intervention to improve medical and psychosocial outcomes.

Phonemic mismatch negativity mediates the association between phoneme awareness and character reading ability in young Chinese children.

Poor phonological awareness is associated with greater risk for reading disability. The underlying neural mechanism of such association may lie in the brain processing of phonological information. Lower amplitude of auditory mismatch negativity (MMN) has been associated with poor phonological awareness and with the presence of reading disability. The current study recorded auditory MMN to phoneme and lexical tone contrast with odd-ball paradigm and examined whether auditory MMN mediated the associations between phonological awareness and character reading ability through a three-year longitudinal study in 78 native Mandarin-speaking kindergarten children. Hierarchical linear regression and mediation analyses showed that the effect of phoneme awareness on the character reading ability was mediated by the phonemic MMN in young Chinese children. Findings underscore the key role of phonemic MMN as the underlying neurodevelopmental mechanism linking phoneme awareness and reading ability.

Comparative Genomic Analysis of a Methylorubrum rhodesianum MB200 Isolated from Biogas Digesters Provided New Insights into the Carbon Metabolism of Methylotrophic Bacteria.

Methylotrophic bacteria are widely distributed in nature and can be applied in bioconversion because of their ability to use one-carbon source. The aim of this study was to investigate the mechanism underlying utilization of high methanol content and other carbon sources by Methylorubrum rhodesianum strain MB200 via comparative genomics and analysis of carbon metabolism pathway. The genomic analysis revealed that the strain MB200 had a genome size of 5.7 Mb and two plasmids. Its genome was presented and compared with that of the 25 fully sequenced strains of Methylobacterium genus. Comparative genomics revealed that the Methylorubrum strains had closer collinearity, more shared orthogroups, and more conservative MDH cluster. The transcriptome analysis of the strain MB200 in the presence of various carbon sources revealed that a battery of genes was involved in the methanol metabolism. These genes are involved in the following functions: carbon fixation, electron transfer chain, ATP energy release, and resistance to oxidation. Particularly, the central carbon metabolism pathway of the strain MB200 was reconstructed to reflect the possible reality of the carbon metabolism, including ethanol metabolism. Partial propionate metabolism involved in ethyl malonyl-CoA (EMC) pathway might help to relieve the restriction of the serine cycle. In addition, the glycine cleavage system (GCS) was observed to participate in the central carbon metabolism pathway. The study revealed the coordination of several metabolic pathways, where various carbon sources could induce associated metabolic pathways. To the best of our knowledge, this is the first study providing a more comprehensive understanding of the central carbon metabolism in Methylorubrum. This study provided a reference for potential synthetic and industrial applications of this genus and its use as chassis cells.

Superior improvement on soil quality by Pennisetum sinese vegetation restoration in the dry-hot valley region, SW China.

Vegetation restoration is a good way to improve soil quality and reduce erosion. However, the impact of vegetation restoration on soil quality in the dry-hot valley region has been overlooked for many years. This study aimed to reveal the effects of Pennisetum sinese (PS) and natural vegetation (NV) on soil quality and then to explore the feasibility of introducing PS for the vegetation restoration of the dry-hot valley region. The PS and NV restoration areas deserted land evolving from cultivated land (CL) have been established since 2011. The results showed that the soil properties were obviously improved by PS from the dry to wet seasons, except for the soil available phosphorous. The comprehensive soil quality indexes of the three typical seasons (dry, dry-wet, and wet) were determined by using nonlinear weighted additive (NLWA) based on the total dataset, significant dataset and minimum dataset (MDS). The results indicated that the comprehensive minimum dataset soil quality index (MDS-SQI) of the three typical seasons evaluate soil quality well. The soil quality of PS was significantly greater than that of CL and NV (P < 0.05), as shown by the MDS-SQI. Additionally, PS could maintain a stable soil quality in the three typical seasons, while both CL and NV had obvious fluctuations. In addition, the result of the generalized linear mode suggested that the vegetation type had the greatest impact on the soil quality (44.51 %). Comprehensively, vegetation restoration in the dry-hot valley region has a positive impact on the soil properties and quality. PS is a great candidate species for the early vegetation restoration in the dry-hot valley region. This work provides a reference for vegetation restoration and rational utilization of soil resources in degraded ecosystems in dry-hot valleys and other soil erosion areas.

Weight Loss Expectations of Adults With Binge Eating: Cross-sectional Study With a Human-Centered Design Approach.

BACKGROUND: People tend to overestimate their expectations for weight loss relative to what is achievable in a typical evidence-based behavioral weight management program, which can impact treatment satisfaction and outcomes. We are engaged in formative research to design a digital intervention that addresses binge eating and weight management; thus, understanding expectations among this group can inform more engaging intervention designs to produce a digital intervention that can achieve greater clinical success. Studies examining weight loss expectations have primarily focused on people who have overweight or obesity. Only one study has investigated weight loss expectations among people with binge eating disorder, a population that frequently experiences elevated weight and shape concerns and often presents to treatment with the goal of losing weight. OBJECTIVE: The aim of the study is to investigate differences in weight loss expectations among people with varying levels of binge eating to inform the design of a digital intervention for binge eating and weight management. Such an evaluation may be crucial for people presenting for a digital intervention, given that engagement and dropout are notable problems for digital behavior change interventions. We tested the hypotheses that (1) people who endorsed some or recurrent binge eating would expect to lose more weight than those who did not endorse binge eating and (2) people who endorsed a more severe versus a low or moderate overvaluation of weight and shape would have higher weight loss expectations. METHODS: A total of 760 adults (n=504, 66% female; n=441, 58% non-Hispanic White) completed a web-based screening questionnaire. One-way ANOVAs were conducted to explore weight loss expectations for binge eating status as well as overvaluation of shape and weight. RESULTS: Weight loss expectations significantly differed by binge eating status. Those who endorsed some and recurrent binge eating expected to lose more weight than those who endorsed no binge eating. Participants with severe overvaluation of weight or shape expected to lose the most weight compared to those with low or moderate levels of overvaluation of weight and shape. CONCLUSIONS: In the sample, people interested in a study to inform a digital intervention for binge eating and weight management overestimated their expectations for weight loss. Given that weight loss expectations can impact treatment completion and success, it may be important to assess and modify weight loss expectations among people with binge eating prior to enrolling in a digital intervention. Future work should design and test features that can modify these expectations relative to individuals' intended treatment goals to facilitate engagement and successful outcomes in a digital intervention.

In-Vitro Diagnostic Reagent Evaluation of Commercially Available Cardiac Troponin I Assay Kits Using H/D Exchange Mass Spectrometry for Antibody-Epitope Mapping.

Cardiac troponin I (cTnI) is the biomarker of choice and considered a gold standard for the diagnosis of acute myocardial infarction. However, the quantitative results of cTnI assay kits from different manufacturers are not comparable. Based on the H/D exchange mass spectrometry (HDX-MS) workflow, we developed an in-vitro diagnostic reagent antibody evaluation strategy to analyze the interactions of epitopes and antibody cocktails─(R195, F12, S13) and (D1, D2, pAb2). The HDX results indicate that the quantitative result bias of the different reagents originates from the ability of antibodies to recognize various cTnI complex forms, such as free cTnI, hydrolyzed cTnI, and cTnI combined with cTnT or TnC as binary or ternary complexes (cTnIC, cTnTIC), in blood based on different epitopes. The data obtained from the peptide HDX of interest after treatment with various antibody cocktails clearly indicated epitope specificity. The consistency of quantitative results can be improved by a thorough investigation into the epitopes recognized by the antibodies of various diagnostic kits, which will lead to the standardization of cTnI diagnosis.

Chemerin promotes MAPK/ERK activation to induce inflammatory factor production in rat synoviocytes.

Chemerin is a chemokine found in adipose tissue that specifically binds to the G protein-coupled receptor, chemokine-like receptor 1, and acts as a chemoattractant for macrophages and dendritic cells. Chemerin levels in the synovial fluid are associated with disease severity in patients with osteoarthritis (OA). However, to the best of our knowledge, the specific mechanism through which chemerin exerts its effects in OA remains unclear. The present study aimed to investigate the underlying mechanism of chemerin-associated synoviocyte inflammation. A Cell Counting Kit-8 assay was used to determine the optimal concentration of chemerin that exerted an effect on the viability of normal rat synoviocytes. The expression levels of MEK/ERK signaling pathway-related marker genes, including MEK, ERK, MMP-3 and MMP-13, were detected using reverse transcription-quantitative PCR. In addition, chemerin-induced phosphorylation of MEK, ERK1/2 and p38 MAPK was analyzed using western blotting, and the production of inflammatory factors following chemerin treatment was determined using ELISA. For the in vivo assessment of the effect of chemerin, Sprague Dawley rats underwent knee surgery to establish an arthritis model. The knee joints were then injected with normal saline or recombinant chemerin, and the synovium and knee joint tissues were harvested for H&E histological observations after 3 weeks. In addition, synovial tissue was analyzed for the production of inflammatory factors by ELISA. The results of the present study revealed that chemerin enhanced the viability of synoviocytes in a dose-dependent manner. The stimulatory effect of chemerin on synoviocytes was shown to be accompanied by the activation of MEK, ERK1/2 and p38 MAPK, which was associated with the production of MMP-13, MMP-3, TNF-α, IL-6 and IL-1ß by synoviocytes. Inhibition of the ERK1/2 signaling pathway significantly reduced chemerin-induced MMP-13, MMP-3, TNF-α, IL-6 and IL-1ß production. H&E staining showed that synovial hyperplasia and articular cartilage wear were more severe in chemerin treated rats after knee surgery than in knee surgery alone and saline controls. In addition, the articular cartilage surface was damaged, and the synovial tissue showed inflammatory cell infiltration. In Sprague Dawley rats that underwent surgery, but did not receive chemerin treatment, a slight raise in inflammatory cell infiltration and increased levels of inflammatory factors were observed compared with rats that did not undergo surgery; however, Secretion of downstream inflammatory cytokines IL-6, MMP-3, MMP-13, and IL-1ß was significantly increased in chemerin treated groups compared with control and chemerin + PD98059 groups. In conclusion, the findings of the present study suggested that chemerin may enhance the production of inflammatory factors in synoviocytes by activating the MEK/ERK signaling pathway.