Divergent Selection in Low Recombination Regions Shapes the Genomic Islands in Two Incipient Shorebird Species.

Speciation in the face of gene flow is usually associated with a heterogeneous genomic landscape of divergence in nascent species pairs. However, multiple factors, such as divergent selection and local recombination rate variation, can influence the formation of these genomic islands. Examination of the genomic landscapes of species pairs that are still in the early stages of speciation provides an insight into this conundrum. In this study, population genomic analyses were undertaken using a wide range of sampling and whole-genome resequencing data from 96 unrelated individuals of Kentish plover (Charadrius alexandrinus) and white-faced plover (Charadrius dealbatus). We suggest that the two species exhibit varying levels of population admixture along the Chinese coast and on the Taiwan Island. Genome-wide analyses for introgression indicate that ancient introgression had occurred in Taiwan population, and gene flow is still ongoing in mainland coastal populations. Furthermore, we identified a few genomic regions with significant levels of interspecific differentiation and local recombination suppression, which contain several genes potentially associated with disease resistance, coloration, and regulation of plumage molting and thus may be relevant to the phenotypic and ecological divergence of the two nascent species. Overall, our findings suggest that divergent selection in low recombination regions may be a main force in shaping the genomic islands in two incipient shorebird species.

When colors mislead: Genomics and bioacoustics prompt re-classification of Asian flycatcher radiation (Aves: Niltavinae).

Traditional classification of many animals, including birds, has been highly dependent on external morphological characters like plumage coloration. However, both bioacoustics and genetic or genomic data have revolutionized our understanding of the relationships of certain lineages and led to sweeping taxonomic re-organizations. In this study, we present a case of erroneous delimitation of genus boundaries in the species-rich flycatcher subfamily Niltavinae. Genera within this subfamily have historically been delineated based on blue versus brown male body plumage until recent studies based on a few mitochondrial and nuclear loci unearthed several cases of generic misclassification. Here we use extensive bioacoustic data from 43 species and genomic data from 28 species for a fundamental reclassification of species in the Niltavinae. Our study reveals that song is an important trait to classify these birds even at the genus level, whereas plumage traits exhibit ample convergence and have led to numerous historic misattributions. Our taxonomic re-organization leads to new biogeographic limits of major genera, such that the genus Cyornis now only extends as far east as the islands of Sulawesi, Sula, and Banggai, whereas Eumyias is redefined to extend far beyond Wallace's Line to the islands of Seram and Timor. Our conclusions advise against an over-reliance on morphological traits and underscore the importance of integrative datasets.

Phosphoprotein-based biomarkers as predictors for cancer therapy.

Disparities in cancer patient responses have prompted widespread searches to identify differences in sensitive vs. nonsensitive populations and form the basis of personalized medicine. This customized approach is dependent upon the development of pathway-specific therapeutics in conjunction with biomarkers that predict patient responses. Here, we show that Cdk5 drives growth in subgroups of patients with multiple types of neuroendocrine neoplasms. Phosphoproteomics and high throughput screening identified phosphorylation sites downstream of Cdk5. These phosphorylation events serve as biomarkers and effectively pinpoint Cdk5-driven tumors. Toward achieving targeted therapy, we demonstrate that mouse models of neuroendocrine cancer are responsive to selective Cdk5 inhibitors and biomimetic nanoparticles are effective vehicles for enhanced tumor targeting and reduction of drug toxicity. Finally, we show that biomarkers of Cdk5-dependent tumors effectively predict response to anti-Cdk5 therapy in patient-derived xenografts. Thus, a phosphoprotein-based diagnostic assay combined with Cdk5-targeted therapy is a rational treatment approach for neuroendocrine malignancies.

Contribution of APOA5, APOC3, CETP, ABCA1 and SIK3 genetic variants to hypertriglyceridemia development in Mexican HIV-patients receiving antiretroviral therapy.

OBJECTIVE: To investigate the impact of single nucleotide polymorphisms (SNPs) from APOA5, APOC3, CETP, ATP binding cassette transporter A1 and SIK3 genes in the development of hypertriglyceridemia in HIV patients under antiretroviral therapy. MATERIAL AND METHODS: A case-control study was developed. Leukocytic genomic DNA was extracted and genotyping for SNPs rs662799, rs964184, rs5128, rs2854116, rs2854117, rs3764261, rs4149310, rs4149267 and rs139961185 was performed by real time-PCR using TaqMan allelic discrimination assays, in Mexican mestizo patients with HIV infection, with hypertriglyceridemia (>1.7 mmol/L) under antiretroviral therapy. Genetic variants were also investigated in a control group of normolipidemic HIV patients (≤ 1.7 mmol/L). Haplotypes and gene interactions were analyzed. RESULTS: A total of 602 HIV patients were genotyped (316 cases and 286 controls). Age and antiretroviral regimen based on protease inhibitors were associated with hypertriglyceridemia (P = 0.0001 and P = 0.0002. respectively). SNP rs964184 GG genotype in APOA5 gene exhibited the highest association with hypertriglyceridemia risk (OR, 3.2, 95% CI, 1.7-5.8, P = 0.0001); followed by SNP rs139961185 in SIK3 gene (OR = 2.3; (95% CI, 1.1-4.8; P = 0.03 for AA vs. AG genotype; and APOC3 rs5128 GG genotype, (OR, 2.2; 95% CI, 1.1-4.9; P = 0.04) under codominant models. These associations were maintained in the adjusted analysis by age and protease inhibitors based antiretroviral regimens. CONCLUSIONS: This study reveals an association between rs964184 in APOA5; rs5128 in APOC3 and rs139961185 in SIK3 and high triglyceride concentrations in Mexican HIV-patients receiving protease inhibitors. These genetic factors may influence the adverse effects related to antiretroviral therapy.

Rapamycin-Loaded Biomimetic Nanoparticles Reverse Vascular Inflammation.

RATIONALE: Through localized delivery of rapamycin via a biomimetic drug delivery system, it is possible to reduce vascular inflammation and thus the progression of vascular disease. OBJECTIVE: Use biomimetic nanoparticles to deliver rapamycin to the vessel wall to reduce inflammation in an in vivo model of atherosclerosis after a short dosing schedule. METHODS AND RESULTS: Biomimetic nanoparticles (leukosomes) were synthesized using membrane proteins purified from activated J774 macrophages. Rapamycin-loaded nanoparticles were characterized using dynamic light scattering and were found to have a diameter of 108±2.3 nm, a surface charge of -15.4±14.4 mV, and a polydispersity index of 0.11 +/ 0.2. For in vivo studies, ApoE-/- mice were fed a high-fat diet for 12 weeks. Mice were injected with either PBS, free rapamycin (5 mg/kg), or rapamycin-loaded leukosomes (Leuko-Rapa; 5 mg/kg) once daily for 7 days. In mice treated with Leuko-Rapa, flow cytometry of disaggregated aortic tissue revealed fewer proliferating macrophages in the aorta (15.6±9.79 %) compared with untreated mice (30.2±13.34 %) and rapamycin alone (26.8±9.87 %). Decreased macrophage proliferation correlated with decreased levels of MCP (monocyte chemoattractant protein)-1 and IL (interleukin)-b1 in mice treated with Leuko-Rapa. Furthermore, Leuko-Rapa-treated mice also displayed significantly decreased MMP (matrix metalloproteinases) activity in the aorta (mean difference 2554±363.9, P=9.95122×10-6). No significant changes in metabolic or inflammation markers observed in liver metabolic assays. Histological analysis showed improvements in lung morphology, with no alterations in heart, spleen, lung, or liver in Leuko-Rapa-treated mice. CONCLUSIONS: We showed that our biomimetic nanoparticles showed a decrease in proliferating macrophage population that was accompanied by the reduction of key proinflammatory cytokines and changes in plaque morphology. This proof-of-concept showed that our platform was capable of suppressing macrophage proliferation within the aorta after a short dosing schedule (7 days) and with a favorable toxicity profile. This treatment could be a promising intervention for the acute stabilization of late-stage plaques.

How Do Treatment Protocols Affect the Use of Engagement Practices in Youth Mental Health Services?

PURPOSE: Treatment engagement poses challenges for youth mental health providers. With the expansion of evidence-based treatments (EBTs), providers face complex decisions regarding how to engage youth and families using available information sources. This study investigated how EBT protocols are associated with the selection and delivery of engagement practices. METHOD: Twenty engagement practices were coded in a sample of digital recordings of early treatment sessions (N = 193) from the Child STEPs in California study, a randomized trial testing modular treatment and community-implemented treatment for youth mental health problems. Data were collected on which protocols mental health providers reportedly used to guide their sessions and the protocols in which they had received training. We examined which information sources (i.e., the guiding protocol, other protocols in training history, unspecified source) were associated with observed engagement practices. RESULTS: In sessions guided by a protocol, most observed engagement practices were accounted for by the guiding protocol (p < .001), rather than protocols in training history or unspecified sources (p < .001). In sessions not guided by a protocol, most observed practices were accounted for by training history (p < .001). Practice frequency and extensiveness was generally greater when a protocol guided the session. CONCLUSIONS: Inclusion in protocols is associated with the selection and delivery of engagement practices, but this strategy might be insufficient for supporting the use of the full range of engagement practices supported by evidence. Supports are needed that leverage the engagement evidence base to ensure that selected practices empirically fit the engagement needs of youth and families.

What influences the "when" of eating and sleeping?A qualitative interview study.

Timing of eating relative to sleep and endogenous circadian rhythm impacts weight and cardiometabolic health. We used qualitative methods to explore what influences the "when" of eating and sleeping. We conducted 37 one-on-one semi-structured interviews among participants with a body mass index (BMI) ≥ 25 kg/m2 recruited from three internal medicine clinics affiliated with an urban academic hospital. Participants (70.3% Female; 51.4% White; Age range: 21-83 years old) completed measures of social jetlag, physical activity, eating habits, and mobile application use and participated in interviews following a guide developed by the study team. Responses were recorded, transcribed and coded sequentially by two trained researchers using editing-style analysis to identify themes. We identified two main themes, each with subthemes: 1) influences on the "when" of eating and sleeping, with subthemes including social jetlag and being overscheduled, and 2) contextualizing beliefs and perceptions about the "when" of eating and sleeping, with subthemes including perceived recommendations for timing of eating and sleeping, and alignment of behaviors with perceived recommendations. Many participants noted being more flexible in their eating and sleeping times on work-free vs work days. The themes this study identified should be considered when designing interventions that influence the timing of eating and sleeping for weight management.

Do rapid diagnostic methods improve antibiotic prescribing in paediatric bacteraemia?

AIM: Rapid blood culture pathogen identification facilitated by matrix-assisted laser desorption ionisation time-of-flight and GeneXpert has the potential to improve antibiotic prescribing. This study investigates the impact of these rapid diagnostics on the timeliness of effective and optimal antibiotic prescribing in paediatric patients with bacteraemia. METHODS: A single centre retrospective cohort study was performed comparing paediatric bacteraemia cases pre- and post-rapid diagnostic implementation. Primary outcomes were the proportion of cases receiving, and median time to administration of effective and optimal antibiotics from blood culture collection. Secondary outcomes included hospital length of stay, intensive care unit admissions, and all-cause mortality. RESULTS: A total of 255 bacteraemia cases were subject to final data analysis, 129 in the control cohort (pre-implementation of rapid diagnostics) and 126 in the rapid diagnostics cohort. The median time to effective (2.3 vs. 1.8 h, P = 0.20) and optimal therapy (44.4 vs. 39.1 h, P = 0.66) did not differ significantly between the cohorts. There was also no significant difference found in the number of cases reaching effective (120 vs. 116, P = 0.77) and optimal therapy (66 vs. 62, P = 0.76), length of stay (7 vs. 9 days), all-cause mortality (1.6 vs. 1.6%) and number of intensive care unit admissions (20 vs. 15). CONCLUSION: The implementation of rapid diagnostics, when used in isolation, resulted in no improvement in antibiotic prescribing or patient clinical outcomes. To be effective, rapid diagnostics must be coupled with active real-time antimicrobial stewardship promotion, de-escalation or modification based on early laboratory results.

Implementation-as-Usual in Community-Based Organizations Providing Specialized Services to Individuals with Autism Spectrum Disorder: A Mixed Methods Study.

Autism spectrum disorder (ASD) is a highly prevalent neurodevelopmental disorder. ASD community-based organizations (ASD-CBOs) underutilize or inconsistently utilize evidence-based practices (ASD-EBPs) despite numerous available EBPs to treat ASD. Nonetheless, ASD-CBOs implement changes to practices regularly. Understanding ASD-CBO's implementation-as-usual (IAU) processes may assist to develop strategies to facilitate ASD-EBP adoption, implementation and sustainment. A convergent mixed methods (quan + QUAL) design was utilized. Twenty ASD-CBO agency leaders (ALs) and 26 direct providers (DPs), from 21 ASD-CBOs, completed the Autism Model of Implementation Survey Battery, including demographic and agency IAU process questions. Surveys were analyzed through descriptive and content analyses. A subset of 10 ALs provided qualitative interview data that were analyzed using coding, consensus and comparison methods to allow for a more comprehensive understanding of the IAU process within their ASD-CBOs. Quantitative analyses and qualitative coding were merged utilizing a joint display and compared. Results suggest that the IAU process follows some phases identified in the Exploration, Preparation, Implementation, Sustainment (EPIS) framework but were conducted in an informal manner-lacking specificity, structure and consistency across and within ASD-CBOs. Moreover, data suggest adding a specific adoption decision phase to the framework. Nonetheless, most ALs felt previous implementation efforts were successful. IAU processes were explored to determine whether the implementation process may be an area for intervention to increase ASD-EBP utilization in ASD-CBOs. Developing a systematized implementation process may facilitate broader utilization of high quality ASD-EBPs within usual care settings, and ultimately improve the quality of life for individuals with ASD and their families.

Genetic, phenotypic and ecological differentiation suggests incipient speciation in two Charadrius plovers along the Chinese coast.

BACKGROUND: Speciation with gene flow is an alternative to the nascence of new taxa in strict allopatric separation. Indeed, many taxa have parapatric distributions at present. It is often unclear if these are secondary contacts, e.g. caused by past glaciation cycles or the manifestation of speciation with gene flow, which hampers our understanding of how different forces drive diversification. Here we studied genetic, phenotypic and ecological aspects of divergence in a pair of incipient shorebird species, the Kentish (Charadrius alexandrinus) and the White-faced Plovers (C. dealbatus), shorebirds with parapatric breeding ranges along the Chinese coast. We assessed divergence based on molecular markers with different modes of inheritance and quantified phenotypic and ecological divergence in aspects of morphometric, dietary and climatic niches. RESULTS: Our integrative analyses revealed small to moderate levels of genetic and phenotypic distinctiveness with symmetric gene flow across the contact area at the Chinese coast. The two species diverged approximately half a million years ago in dynamic isolation with secondary contact occurring due to cycling sea level changes between the Eastern and Southern China Sea in the mid-late Pleistocene. We found evidence of character displacement and ecological niche differentiation between the two species, invoking the role of selection in facilitating divergence despite gene flow. CONCLUSION: These findings imply that ecology can indeed counter gene flow through divergent selection and thus contributes to incipient speciation in these plovers. Furthermore, our study highlights the importance of using integrative datasets to reveal the evolutionary history and assist the inference of mechanisms of speciation.

The influence of parents and schools on developmental trajectories of antisocial behaviors in Caucasian and African American youths.

African American youths are overrepresented in the American juvenile justice system relative to Caucasians. Yet, research on antisocial behaviors (ASB) has focused on predominantly Caucasian populations. Furthermore, relatively little is known about how environmental factors, such as supportive parenting (e.g., how close adolescents feel to their parent) and school connectedness (e.g., how supported adolescents feel at school), affect trajectories of ASB in Caucasians versus African Americans. This study mapped developmental trajectories of ASB in Caucasians (n = 10,764) and African Americans (n = 4,091) separately, using four waves of data from the National Longitudinal Study of Adolescent to Adult Health. We then examined supportive parenting and school connectedness on the trajectories of ASB. Four trajectories of ASB were identified for both Caucasians and African Americans: negligible, adolescence-peaked, low-persistence, and high-persistence ASB, although prevalence rates differed by racial-ethnic status. Supportive parenting reduced the risk of membership into the adolescence-peaked trajectory for both Caucasians and African Americans. However, school connectedness was less protective for African Americans than for Caucasians because it only predicted a lower risk of adolescence-peaked membership for African Americans. Findings may reflect the complex social dynamics between race and schools in the development of ASB.

Randomized Trial of the Parent And Caregiver Active Participation Toolkit for Child Mental Health Treatment.

The purpose of this pilot study was to examine preliminary feasibility, acceptability, and effectiveness of a toolkit (Parent And Caregiver Active Participation Toolkit) to increase parent participation in community-based child mental health services. Study participants included 29 therapists (93% female; M age = 34.1 years; 38% Latino) and 20 parent/child dyads (children 80% female; M age = 8.6 years; parents 40% Latino) in 6 diverse community mental health clinics. Therapists were randomly assigned to standard care or the toolkit with standard care. Therapist and parent survey data and observational coding of treatment sessions were utilized. Mean comparisons and repeated measures analyses were used to test differences between study conditions over 4 months. Results supported preliminary feasibility and acceptability of the toolkit, with therapists assigned to the toolkit participating in ongoing training, adhering to toolkit use, and perceiving the toolkit as feasible and acceptable within their setting. Results preliminarily demonstrated improvement in therapists' job attitudes, as well as actual use of parent engagement strategies. Results also preliminarily demonstrated increases in parent participation in child therapy sessions and more regular attendance, as well as some indication of support for perceived treatment effectiveness. Overall, results suggest the feasibility, acceptability, and potential effectiveness of the toolkit to enhance therapist job attitudes; practices that support parent engagement, parent engagement itself, and consumer perspectives on treatment outcomes; and the potential promise of future research in the area of parent participation interventions in child mental health services.

Psychoeducation as a Mediator of Treatment Approach on Parent Engagement in Child Psychotherapy for Disruptive Behavior.

Parent engagement in treatment for child disruptive behavior has been associated with improved child outcomes in care. However, many families who enter care do not receive an adequate dose of treatment, and parents are often not involved. We examined therapists' use of psychoeducation, a therapeutic practice used to present factual information about target problems and treatments, and its association with parent engagement in child psychotherapy. Participants were drawn from the Child System and Treatment Enhancement Projects' multisite trial contrasting standard evidence-based treatments, modular treatment, or usual care. We included an ethnically diverse sample of 46 youth (ages 7-13) who received treatment for disruptive behavior in modular treatment or usual care. A reliable observational coding system was developed to assess therapists' in-session use of psychoeducation strategies (e.g., discussing causes of misbehavior, describing and providing rationale for treatment, etc.), as well as other engagement strategies (e.g., collaborative goal setting, managing expectations, etc.), in the early phase of treatment. Findings revealed that modular treatment therapists provided more psychoeducation and other engagement strategies compared with usual care therapists. Furthermore, psychoeducation strategies employed by therapists early on uniquely predicted subsequent parent involvement in treatment, over and above the use of other engagement strategies. Finally, therapists' use of the psychoeducation strategy of discussing causes of child's misbehavior mediated the effect of treatment condition on parent involvement in their child's therapy. These findings suggest that the implementation of psychoeducation strategies upon entry into care promotes parent involvement in child psychotherapy for disruptive behavior.

Biomimetic Concealing of PLGA Microspheres in a 3D Scaffold to Prevent Macrophage Uptake.

Scaffolds functionalized with delivery systems for the release of growth factors is a robust strategy to enhance tissue regeneration. However, after implantation, macrophages infiltrate the scaffold, eventually initiating the degradation and clearance of the delivery systems. Herein, it is hypothesized that fully embedding the poly(d,l-lactide-co-glycolide acid) microspheres (MS) in a highly structured collagen-based scaffold (concealing) can prevent their detection, preserving the integrity of the payload. Confocal laser microscopy reveals that non-embedded MS are easily internalized; when concealed, J774 and bone marrow-derived macrophages (BMDM) cannot detect them. This is further demonstrated by flow cytometry, as a tenfold decrease is found in the number of MS engulfed by the cells, suggesting that collagen can cloak the MS. This correlates with the amount of nitric oxide and tumor necrosis factor-α produced by J774 and BMDM in response to the concealed MS, comparable to that found for non-functionalized collagen scaffolds. Finally, the release kinetics of a reporter protein is preserved in the presence of macrophages, only when MS are concealed. The data provide detailed strategies for fabricating three dimensional (3D) biomimetic scaffolds able to conceal delivery systems and preserve the therapeutic molecules for release.

Unexpected divergence and lack of divergence revealed in continental Asian Cyornis flycatchers (Aves: Muscicapidae).

The flycatcher genus Cyornis (Aves: Muscicapidae) comprises 25 species with Oriental distributions. Their relationships are poorly known. We analyzed the phylogenetic relationships of 70 individuals from 12 species and several subspecies of Cyornis based on three mitochondrial genes and five nuclear introns, with special focus on Chinese and Vietnamese populations of the monotypic C. hainanus and polytypic C. rubeculoides. We found no support for inclusion of C. concretus in Cyornis. Deep divergences were observed among different subspecies of C. banyumas and C. rubeculoides. C. rubeculoides glaucicomans was also shown to have a highly distinctive song, and we propose that it is treated as a distinctive Chinese endemic species, C. glaucicomans. In contrast, the south Vietnamese C. rubeculoides klossi, which has a disjunct distribution from the other subspecies of C. rubeculoides, along with a recently discovered population in Guangdong Province (China) with several plumage features reminiscent of C. r. klossi, were indistinguishable in all loci analyzed from the phenotypically markedly different C. hainanus. More research is needed to elucidate the reasons for this unexpected pattern.

Multiscale patterning of a biomimetic scaffold integrated with composite microspheres.

The ideal scaffold for regenerative medicine should concurrently mimic the structure of the original tissue from the nano- up to the macroscale and recapitulate the biochemical composition of the extracellular matrix (ECM) in space and time. In this study, a multiscale approach is followed to selectively integrate different types of nanostructured composite microspheres loaded with reporter proteins, in a multi-compartment collagen scaffold. Through the preservation of the structural cues of the functionalized collagen scaffold at the nano- and microscale, its macroscopic features (pore size, porosity, and swelling) are not altered. Additionally, the spatial confinement of the microspheres allows the release of the reporter proteins in each of the layers of the scaffold. Finally, the staged and zero-order release kinetics enables the temporal biochemical patterning of the scaffold. The versatile manufacturing of each component of the scaffold results in the ability to customize it to better mimic the architecture and composition of the tissues and biological systems.

Differential molecular biomarker expression in corals over a gradient of water quality stressors in Maunalua Bay, Hawaii.

Coral reefs globally face unprecedented challenges from anthropogenic stressors, necessitating innovative approaches for effective assessment and management. Molecular biomarkers, particularly those related to protein expressions, provide a promising avenue for diagnosing coral health at the cellular level. This study employed enzyme-linked immunosorbent assays to evaluate stress responses in the coral Porites lobata along an environmental gradient in Maunalua Bay, Hawaii. The results revealed distinct protein expression patterns correlating with anthropogenic stressor levels across the bay. Some proteins, such as ubiquitin and Hsp70, emerged as sensitive biomarkers, displaying a linear decrease in response along the environmental gradient, emphasizing their potential as indicators of stress. Our findings highlighted the feasibility of using protein biomarkers for real-time assessment of coral health and the identification of stressors. The identified biomarkers can aid in establishing stress thresholds and evaluating the efficacy of management interventions. Additionally, we assessed sediment and water quality from the inshore areas in the bay and identified organic contaminants, including polycyclic aromatic hydrocarbons and pesticides, in bay sediments and waters.

Flexible 3D Plasmonic Web Enables Remote Surface Enhanced Raman Spectroscopy.

Nanoplasmonic materials concentrate light in specific regions of dramatic electromagnetic enhancement: hot spots. Such regions can be employed to perform single molecule detection via surface-enhanced Raman spectroscopy. However, this phenomenon is challenging since hot spots are expected to be highly intense/abundant and positioning of molecules within such hot spots is crucial to manage with ultrasensitive SERS. Herein, it is discovered that a 3D plasmonic web embedded within a biohybrid (3D-POWER) exhibits plasmonic transmission, spontaneously absorbs the analyte, and meets these so much needed criteria in ultrasensitive SERS. 3D-POWER is built with nanopaper and self-assembled layers of graphene oxide and gold nanorods. According to in silico experiments, 3D-POWER captures light in a small region and performs plasmonic field transmission in a surrounding volume, thereby activating a plasmonic web throughout the simulated volume. The study also provides experimental evidence supporting the plasmonic field transport ability of 3D power, which operates as a SERS signal carrier (even beyond the apparatus field of view), and the ultrasensitive behavior of this ecofriendly and flexible material facilitating yoctomolar limit of detection. Besides, 3D-POWER is proven useful in food and biofluids analysis. It is foreseen that 3D-POWER can be employed as a valuable platform in (bio)analytical applications.

Capsaicin as a Dietary Additive for Dairy Cows: A Meta-Analysis on Performance, Milk Composition, Digestibility, Rumen Fermentation, and Serum Metabolites.

This study aimed to evaluate the effects of dietary supplementation with capsaicin (CAP) on productive performance, milk composition, nutrient digestibility, ruminal fermentation, and serum metabolites of dairy cows using a meta-analytical approach. The database included 13 studies, from which the response variables of interest were obtained. Data were analyzed using a random effects model, and results were expressed as weighted mean differences between treatments supplemented with and without CAP. Dietary supplementation with CAP increased (p < 0.05) dry matter intake, milk yield, feed efficiency, milk fat yield, and milk fat content. However, CAP supplementation did not affect (p > 0.05) milk protein and lactose yield, milk urea nitrogen, or milk somatic cell count. Greater (p < 0.05) apparent digestibility of dry matter and crude protein was observed in response to the dietary inclusion of CAP. Likewise, supplementation with CAP increased (p < 0.05) the rumen concentration of total volatile fatty acids. In contrast, CAP supplementation did not affect (p > 0.05) ruminal pH or the ruminal concentration of ammonia nitrogen, acetate, propionate, and butyrate. In blood serum, CAP supplementation increased (p < 0.05) the glucose concentration and decreased (p < 0.05) the concentration of non-esterified fatty acids. However, CAP supplementation did not affect (p > 0.05) the serum concentration of urea and beta-hydroxybutyrate. In conclusion, capsaicin can be used as a dietary additive to improve the productive performance, milk composition, and nutrient digestibility in dairy cows and, at the same time, improve the ruminal concentration of total volatile fatty acids and serum levels of glucose and non-esterified fatty acids.

Early adverse physiological event detection using commercial wearables: challenges and opportunities.

Data from commercial off-the-shelf (COTS) wearables leveraged with machine learning algorithms provide an unprecedented potential for the early detection of adverse physiological events. However, several challenges inhibit this potential, including (1) heterogeneity among and within participants that make scaling detection algorithms to a general population less precise, (2) confounders that lead to incorrect assumptions regarding a participant's healthy state, (3) noise in the data at the sensor level that limits the sensitivity of detection algorithms, and (4) imprecision in self-reported labels that misrepresent the true data values associated with a given physiological event. The goal of this study was two-fold: (1) to characterize the performance of such algorithms in the presence of these challenges and provide insights to researchers on limitations and opportunities, and (2) to subsequently devise algorithms to address each challenge and offer insights on future opportunities for advancement. Our proposed algorithms include techniques that build on determining suitable baselines for each participant to capture important physiological changes and label correction techniques as it pertains to participant-reported identifiers. Our work is validated on potentially one of the largest datasets available, obtained with 8000+ participants and 1.3+ million hours of wearable data captured from Oura smart rings. Leveraging this extensive dataset, we achieve pre-symptomatic detection of COVID-19 with a performance receiver operator characteristic (ROC) area under the curve (AUC) of 0.725 without correction techniques, 0.739 with baseline correction, 0.740 with baseline correction and label correction on the training set, and 0.777 with baseline correction and label correction on both the training and the test set. Using the same respective paradigms, we achieve ROC AUCs of 0.919, 0.938, 0.943 and 0.994 for the detection of self-reported fever, and 0.574, 0.611, 0.601, and 0.635 for detection of self-reported shortness of breath. These techniques offer improvements across almost all metrics and events, including PR AUC, sensitivity at 75% specificity, and precision at 75% recall. The ring allows continuous monitoring for detection of event onset, and we further demonstrate an improvement in the early detection of COVID-19 from an average of 3.5 days to an average of 4.1 days before a reported positive test result.