A multi-layered integrative analysis reveals a cholesterol metabolic program in outer radial glia with implications for human brain evolution.

The definition of molecular and cellular mechanisms contributing to brain ontogenetic trajectories is essential to investigate the evolution of our species. Yet their functional dissection at an appropriate level of granularity remains challenging. Capitalizing on recent efforts that have extensively profiled neural stem cells from the developing human cortex, we develop an integrative computational framework to perform (i) trajectory inference and gene regulatory network reconstruction, (ii) (pseudo)time-informed non-negative matrix factorization for learning the dynamics of gene expression programs, and (iii) paleogenomic analysis for a higher-resolution mapping of derived regulatory variants in our species in comparison to our closest relatives. We provide evidence for cell type-specific regulation of gene expression programs during indirect neurogenesis. In particular, our analysis uncovers a key role for a cholesterol program in outer radial glia, regulated by zinc-finger transcription factor KLF6. A cartography of the regulatory landscape impacted by Homo sapiens-derived variants reveals signals of selection clustering around regulatory regions associated with GLI3, a well-known regulator of radial glial cell cycle, and impacting KLF6 regulation. Our study contributes to the evidence of significant changes in metabolic pathways in recent human brain evolution.

Direct and indirect cumulative effects of temperature, nutrients, and light on phytoplankton growth.

Temperature and resource availability are pivotal factors influencing phytoplankton community structures. Numerous prior studies demonstrated their significant influence on phytoplankton stoichiometry, cell size, and growth rates. The growth rate, serving as a reflection of an organism's success within its environment, is linked to stoichiometry and cell size. Consequently, alterations in abiotic conditions affecting cell size or stoichiometry also exert indirect effects on growth. However, such results have their limitations, as most studies used a limited number of factors and factor levels which gives us limited insights into how phytoplankton respond to environmental conditions, directly and indirectly. Here, we tested for the generality of patterns found in other studies, using a combined multiple-factor gradient design and two single species with different size characteristics. We used a structural equation model (SEM) that allowed us to investigate the direct cumulative effects of temperature and resource availability (i.e., light, N and P) on phytoplankton growth, as well as their indirect effects on growth through changes in cell size and cell stoichiometry. Our results mostly support the results reported in previous research thus some effects can be identified as dominant effects. We identified rising temperature as the dominant driver for cell size reduction and increase in growth, and nutrient availability (i.e., N and P) as dominant factor for changes in cellular stoichiometry. However, indirect effects of temperature and resources (i.e., light and nutrients) on species' growth rates through cell size and cell stoichiometry differed across the two species suggesting different strategies to acclimate to its environment.

Evaluating predictive equations for energy requirements throughout breast cancer trajectory: A comparative study.

BACKGROUND & AIMS: Accurately estimating resting energy requirements is crucial for optimizing energy intake, particularly in the context of patients with varying energy needs, such as individuals with cancer. We sought to evaluate the agreement between resting energy expenditure (REE) predicted by 40 equations and that measured by reference methods in women undergoing active breast cancer treatment stage (I-IV) and post-completion (i.e., survivors). METHODS: Data from 4 studies were combined. REE values estimated from 40 predictive equations identified by a systematic search were compared with REE assessed by indirect calorimetry (IC) using a metabolic cart (MC-REE N = 46) or a whole-room indirect calorimeter (WRIC-REE N = 44). Agreement between methods was evaluated using Bland-Altman and Lin's concordance coefficient correlation (Lin's CCC). RESULTS: Ninety participants (24 % survivors, 61.1% had early-stage breast cancer I or II, mean age: 56.8 ± 11 years; body mass index: 28.7 ± 6.4 kg/m2) were included in this analysis. Mean MC-REE and WRIC-REE values were 1389 ± 199 kcal/day and 1506 ± 247 kcal/day, respectively. Limits of agreement were wide for all equations compared to both MC and WRIC (∼300 kcal for both methods), including the most commonly used ones, such as Harris-Benedict and Mifflin ST. Jeor equations; none had a bias within ±10% of measured REE, and all had low agreement per Lin's CCC analysis (<0.90). The Korth equation exhibited the best performance against WRIC and the Lvingston-Kohlstadt equation against MC. Similar patterns of bias were observed between survivors and patients and between patients with stages I-III versus IV cancer. CONCLUSION: Most equations failed to accurately predict REE at the group level, and none were effective at the individual level. This inaccuracy has significant implications for women with or surviving breast cancer, who may experience weight gain, maintenance, or loss due to inaccurate energy needs estimations. Therefore, our research underscores the need for further efforts to improve REE estimation.

Baculovirus expression and purification of virion core and envelope proteins of goatpox virus to evaluate their diagnostic potential.

Goatpox and sheeppox are highly contagious and economically important viral diseases of small ruminants. Due to the risk they pose to animal health, livestock production, and international trade, capripoxviruses are a considerable threat to the livestock economy. In this study, we expressed two core proteins (A4L and A12L) and one extracellular enveloped virion protein (A33R) of goatpox virus in a baculovirus expression vector system and evaluated their use as diagnostic antigens in ELISA. Full-length A4L, A12L, and A33R genes of the GTPV Uttarkashi strain were amplified, cloned into the pFastBac HT A donor vector, and introduced into DH10Bac cells containing a baculovirus shuttle vector plasmid to generate recombinant bacmids. The recombinant baculoviruses were produced in Sf-21 cells by transfection, and proteins were expressed in TN5 insect cells. The recombinant proteins were analysed by SDS-PAGE and confirmed by western blot, with expected sizes of ~30 kDa, ~31 kDa, and ~32 kDa for A4L, A12L, and A33R, respectively. The recombinant proteins were purified, and the immunoreactivity of the purified proteins was confirmed by western blot using anti-GTPV serum. The antigenic specificity of the expressed proteins as diagnostic antigens was evaluated by testing their reactivity with infected, vaccinated, and negative GTPV/SPPV serum in indirect ELISA, and the A33R-based indirect ELISA was optimized. The diagnostic sensitivity and specificity of the A33R-based indirect ELISA were found to be of 89% and 94% for goats and 98% and 91%, for sheep, respectively. No cross-reactivity was observed with other related viruses. The recombinant-A33R-based indirect ELISA developed in the present study shows that it has potential for the detection of antibodies in GTPV and SPPV infected/vaccinated animals.

Exceptions to the rule: When does resistance evolution not undermine antibiotic therapy in human bacterial infections?

The use of antibiotics to treat bacterial infections often imposes strong selection for antibiotic resistance. However, the prevalence of antibiotic resistance varies greatly across different combinations of pathogens and drugs. What underlies this variation? Systematic reviews, meta-analyses, and literature surveys capable of integrating data across many studies have tried to answer this question, but the vast majority of these studies have focused only on cases where resistance is common or problematic. Yet much could presumably be learned from the cases where resistance is infrequent or absent. Here we conducted a literature survey and a systematic review to study the evolution of antibiotic resistance across a wide range of pathogen-by-drug combinations (57 pathogens and 53 antibiotics from 15 drug classes). Using Akaike information criterion-based model selection and model-averaged parameter estimation we explored 14 different factors posited to be associated with resistance evolution. We find that the most robust predictors of high resistance are nosocomial transmission (i.e., hospital-acquired pathogens) and indirect transmission (e.g., vector-, water-, air-, or vehicle-borne pathogens). While the former was to be expected based on prior studies, the positive correlation between high resistance frequencies and indirect transmission is, to our knowledge, a novel insight. The most robust predictor of low resistance is zoonosis from wild animal reservoirs. We also found partial support that resistance was associated with pathogen type, horizontal gene transfer, commensalism, and human-to-human transmission. We did not find support for correlations between resistance and environmental reservoirs, mechanisms of drug action, and global drug use. This work explores the relative explanatory power of various pathogen and drug factors on resistance evolution, which is necessary to identify priority targets of stewardship efforts to slow the spread of drug-resistant pathogens.

Ultrasonographic Predictors for Post-operative Ischemic Events After Indirect Revascularization Surgeries in Patients with Moyamoya Disease.

OBJECTIVE: Recurrent stroke after revascularization surgeries predicts poor outcome in patients with moyamoya disease (MMD). Early identification of patients with stroke risk paves the way for rescue intervention. This study aimed to investigate the role of ultrasound in identifying patients at risk of post-operative ischemic events (PIEs). METHODS: This prospective study enrolled patients with symptomatic MMD who underwent indirect revascularization surgeries. Ultrasound examinations were performed preoperatively and at 3 mo post-operatively to evaluate the hemodynamic changes in extracranial and intracranial arteries on the operated side. PIE was defined as ischemic stroke or transient ischemic attack in the operated hemisphere within 1 y. The areas under receiver operating characteristic curves were compared between models for prediction of PIE. RESULTS: A total of 56 operated hemispheres from 36 patients (mean age, 23.0 ± 18.5 y) were enrolled in this study, and 27% developed PIE. In multivariate logistic regression models, PIE was associated with lower end-diastolic velocity and flow volume (FV) of the ipsilateral external carotid artery (ECA), and lower FV of ipsilateral superficial temporal artery and occipital artery at 3 mo post-operatively (all p < 0.05). Moreover, the post-operative FV of the ipsilateral ECA was the only one factor that significantly increased the areas under receiver operating characteristic curves from 0.727 to 0.932 when adding to a clinical-angiographic model for prediction of PIE (p = 0.017). This parameter was significantly lower in hemispheres with PIE, both in adult and pediatric patients. CONCLUSION: After indirect revascularization, surgeries in patients with symptomatic MMD, FV of ipsilateral ECA at 3 mo helps clinicians to identify patients at risk of PIE.

How to interpret and apply the results of indirect calorimetry studies: a case-based tutorial.

Evidence is growing that the individual adjustment of energy targets guided by indirect calorimetry (IC) can improve outcome. With the development of a new generation of devices that are easier to use and rapid, it appears important to share knowledge and expertise that may be used to individualize nutrition care. Despite the focus of this tutorial being on one contemporary device, the principles of IC apply across existing devices and can assist tailoring the nutrition prescription and in assessing response to nutrition therapy. The present tutorial addresses its clinical application in intubated mechanically ventilated and spontaneously breathing adult patients (canopy), i.e. it covers the range from critical illness to outpatients. The cases that are presented show how the measured energy expenditure (mEE), and the respiratory quotient (RQ), i.e. the ratio of expired CO2 to consumed O2, should be applied in different cases, to adapt and individualize nutrition prescription, as it is a good marker of over- or underfeeding at the different stages of disease. The RQ also informs about the patient's body's capacity to use different substrates: the variations of RQ indicating the metabolic changes revealing insufficient or excessive feeding. The different cases reflect the use of a new generation device as a metabolic monitor that should be combined with other clinical observations and laboratory biomarkers. The tutorial also points to some shortcomings of the method, proposing alternatives.

Artificial intelligence applications for immunology laboratory: image analysis and classification study of IIF photos.

Artificial intelligence (AI) is increasingly being used in medicine to enhance the speed and accuracy of disease diagnosis and treatment. AI-based image analysis is expected to play a crucial role in future healthcare facilities and laboratories, offering improved precision and cost-effectiveness. As technology advances, the requirement for specialized software knowledge to utilize AI applications is diminishing. Our study will examine the advantages and challenges of employing AI-based image analysis in the field of immunology and will investigate whether physicians without software expertise can use MS Azure Portal for ANA IIF test classification and image analysis. This is the first study to perform Hep-2 image analysis using MS Azure Portal. We will also assess the potential for AI applications to aid physicians in interpreting ANA IIF results in immunology laboratories. The study was designed in four stages by two specialists. Stage 1: creation of an image library, Stage 2: finding an artificial intelligence application, Stage 3: uploading images and training artificial intelligence, Stage 4: performance analysis of the artificial intelligence application. In the first training, the average pattern identification accuracy for 72 testing images was 81.94%. After the second training, this accuracy increased to 87.5%. Patterns Precision improved from 71.42 to 79.96% after the second training. As a result, the number of correctly identified patterns and their accuracy increased with the second training process. Artificial intelligence-based image analysis shows promising potential. This technology is expected to become essential in healthcare facility laboratories, offering higher accuracy rates and lower costs.

A Retrospective Comparison of Diagnostic Tools of Bullous Pemphigoid for Elderly Patients.

BACKGROUND: Older patients who are predisposed to bullous pemphigoid (BP) may exhibit reluctance to undergo skin biopsy due to potential complications. OBJECTIVES: This study aimed to conduct a comparative evaluation among histology, direct immunofluorescence (DIF), and indirect immunofluorescence (IIF) to determine the optimal diagnostic tool in elderly patients. METHODS: A retrospective study was conducted on 841 patients suspected of having BP. All cases were initially classified as BP and non-BP in accordance with the diagnostic criteria. Student's t-test and chi-squared test examined differences between the 2 groups. We evaluated the sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio detected by the 3 tools. We stratified the analysis by age to compare the performance of the diagnostic tools and examined the risk factors associated with BP using logistic regression. RESULTS: Overall, histology exhibited the highest sensitivity (89.4%), while DIF demonstrated the highest specificity (67.1%). In the elderly, the IIF test exhibited the highest specificity (57.5%), the highest positive likelihood ratio (2.047), and the lowest negative likelihood ratio (0.226). Among patients taking Dipeptidyl Peptidase-4 (DPP-4) inhibitors, IIF demonstrated the highest positive likelihood ratio (3.194) and the second-lowest negative likelihood ratio (0.235). CONCLUSIONS: In cases that elderly patients suspected of having BP are reluctant to undergo skin biopsy, IIF demonstrates the optimal diagnostic method due to its highest positive likelihood ratio, the lowest negative likelihood ratio among the 3 diagnostic measures. Moreover, IIF is found to be a more effective tool for detecting BP in patients using DPP-4 inhibitors.

Dynamic path analysis for exploring treatment effect mediation processes in clinical trials with time-to-event endpoints.

Why does a beneficial treatment effect on a longitudinal biomarker not translate into overall treatment benefit on survival, when the biomarker is in fact a prognostic factor of survival? In a recent exploratory data analysis in oncology, we were faced with this seemingly paradoxical result. To address this problem, we applied a theoretically principled methodology called dynamic path analysis, which allows us to perform mediation analysis with a longitudinal mediator and survival outcome. The aim of the analysis is to decompose the total treatment effect into a direct treatment effect and an indirect treatment effect mediated through a carefully constructed mediation path. The dynamic nature of the underlying methodology enables us to describe how these effects evolve over time, which can add to the mechanistic understanding of the underlying processes. In this paper, we present a detailed description of the dynamic path analysis framework and illustrate its application to survival mediation analysis using simulated and real data. The use case analysis provides clarity on the specific exploratory question of interest while the methodology generalizes to a wide range of applications in drug development where time-to-event is the primary clinical outcome of interest.

Impact of allergic rhinitis control on work productivity and costs: a real-world data MASK-air study.

BACKGROUND: Allergic rhinitis (AR) has a substantial socioeconomic impact associated with impaired work productivity. OBJECTIVE: To study the impact of AR on work productivity and estimate the corresponding indirect costs for 40 countries. METHODS: We conducted a cross-sectional study using direct patient data from the MASK-air® app on users with self-reported AR. We used the Work Productivity and Activity Impairment Questionnaire: Allergy Specific to measure the impact of AR on work productivity (presenteeism and absenteeism). Weekly indirect costs were estimated per country, for each level of rhinitis control and considering patients with and without asthma. RESULTS: We assessed data from 677 weeks (364 patients), 280 of which were reported by patients with asthma. Regarding presenteeism, the median impact of AR in weeks of poor disease control was 60.7% (P25-P75=24.9-74.2%), while partial and good disease control were respectively associated with an impact of 25.0% (P25-P75=12.1-42.4%) and 4.4% (P25-75=0.8-12.9%). In poorly-controlled weeks, presenteeism was associated with indirect costs ranging from 65.7 US Dollars purchase power parity (US$ PPPs) (P25-P75=29.2-143.2) in Brazil to 693.6 US$ PPP (P25-P75=405.2-1094.9) in Iceland. Median absenteeism per week was of 0% for all levels of rhinitis control. Patients with AR+asthma showed higher overall work impairment than patients with AR alone, particularly in poorly-controlled weeks (median work impairment in AR alone=39.1% [P25-P75=12.5-71.9%]; median work impairment in AR+asthma=68.4% [P25-P75=54.6-80.2%]). CONCLUSION: Poor AR control was associated with decreased work productivity and increased indirect costs, particularly in patients with AR+asthma. The estimates from this study underpin the economic burden of AR.

Application of indirect observation within mixed methods to contrast the results obtained through direct observation: a discussion with observed Pikler educators.

Introduction: This work arises from a previous research, "Pikler educators early in the morning" carried out in the Emmi Pikler Nursery School in Budapest through Systematic Observation. In it, Piklerian choreographies were found in observed educators' behavior during the studied three daily activities: feeding breakfast, dressing to go to the garden and free play accompanying. All of them share certain Piklerian principles, which are synthesized in three central keys: the stability of the educator's behavior, her strategic and intentional positioning, and an active emotional control. Objectives: This study aims to contrast this synthesis of results by means of an in-depth interview with the two observed educators, and to apply the methodological approach of indirect observation within mixed methods for its analysis. The objective is to confirm whether the three central keys are recognized as their own and to look for new theoretical-practical elements within the studied educational approach. Materials and methods: We applied an in-depth interview and analyzed it following the guidelines of indirect observation. The participants were the two educators previously observed, a translator from the Pikler team, and the three observers, authors of this work. An ad hoc observation instrument was elaborated, and the three macro-stages QUAL-QUAL-QUAL proposed within mixed methods were rigorously followed. Results: Lag sequential analysis was used to conduct data analyses. We deepened in prospective lags and obtained the response pattern underlying the interview. Then, we performed a concurrence analysis to investigate the relationship between the central keys obtained in our original research and Piklerian ideas. Conclusion: In-depth interview within mixed methods has been a novel and generous tool leading us to substantial and methodological contributions, despite the simplicity of performed analyses. Interviewed educators' response pattern is a faithful reflection of the Piklerian modus operandi. The study of concurrences shows that Piklerian education is something natural, integrated in its professionals, with the exception of emotional control, which still requires permanent reflection.

A Comparison of the Edge Testing of Indirect Composite Layered Zirconia Crowns and Monolithic Zirconia Crowns Without Aging: An In Vitro Study.

Introduction The main reason veneered zirconia restorations fail is due to porcelain veneer chipping. This chipping usually starts from wear marks on the chewing surface. As a result, small cracks under the contact area can grow into larger ones across the veneer layer. The veneer ceramic layer is more vulnerable to fractures because it has lower toughness and slightly lower stiffness compared to the base framework material. Thus, even when there's significant chipping, the main framework material usually stays protected with a thin layer of veneer ceramic on top. The aim of this in vitro study is to compare the edge strength of Monolithic Zirconia Crowns with that of Indirect Composite Layered Zirconia Crowns without aging. Materials and methods This research involved creating 12 hand-layered all-ceramic crowns and 12 indirect composite layered zirconia crowns. The sample size was determined using a G*Power calculation (Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany). The zirconia frameworks (Upcera HT White; UPCERA Dental America Inc., Cerritos, CA, US) were milled and sintered following the manufacturer's instructions. For the all-ceramic group, veneering porcelain (e.max Ceram; Ivoclar Vivadent, Schaan, Liechtenstein) was hand-applied. In contrast, the indirect composite group utilized Ceramage (Shofu, Kyoto, Japan). An Instron 4501 universal testing machine (Instron Corp., Canton, MA, USA) was employed for the edge chipping tests, and a Vickers indenter (Shanghai Toyo Diamond Tools Co., LTD, Shanghai, China) was used to apply the load. The mean value for edge chipping was analyzed using an unpaired t-test with IBM SPSS Statistics for Windows, Version 26 (Released 2019; IBM Corp., Armonk, NY, USA). The normality of the data was confirmed, and statistical significance was set at 0.05. Results Monolithic Zirconia Crowns (Group 1) require significantly more force (mean: 405 N) to induce an edge chip compared to Indirect Composite Layered Zirconia Crowns (Group 2) (mean: 300 N). The 95% confidence interval (83.43261 N to 109.90072 N) confirms the statistical significance of this difference. Conclusion In conclusion, when evaluating restorative materials based on both esthetic and functional criteria, monolithic zirconia stands out due to its combination of strength, esthetic potential, biocompatibility, and versatility.

'Twenty years of network meta-analysis: Continuing controversies and recent developments': A health technology assessment perspective.

We respond to some of the methodological issues raised in a recent review of network meta-analysis (NMA). We also provide a health technology developer's perspective and consider the future application of NMA to health technology assessment.

Efficacy of Upadacitinib and Dupilumab on Achieving Stringent and Composite Skin and Itch Outcomes: an Indirect Comparison of Adults with Moderate-to-Severe Atopic Dermatitis.

INTRODUCTION: Efficacy of upadacitinib has been assessed in trials including Measure Up 1 (NCT03569293), Measure Up 2 (NCT03607422), and Heads Up (NCT03738397). Measure Up 1 and 2 assessed efficacy of upadacitinib 30 mg and upadacitinib 15 mg against placebo, while Heads Up assessed efficacy of upadacitinib 30 mg in a head-to-head trial against dupilumab 300 mg. A head-to-head trial of upadacitinib 15 mg against dupilumab 300 mg has not been conducted. Network meta-analysis has shown that upadacitinib 30 mg and upadacitinib 15 mg are among the most efficacious targeted systemic therapies, but prior indirect comparisons have not evaluated more stringent outcomes. METHODS: A population-adjusted indirect comparison was conducted using post hoc individual patient data from Measure Up 1 and 2 and Heads Up to estimate how upadacitinib 15 mg would have performed if included in Heads Up by adjusting for patient-level covariates. Absolute response rates at weeks 4, 16, and 24 were estimated for the following outcomes: no/minimal itch [Worst Pruritus Numerical Rating Scale (WP-NRS) score of 0/1], Eczema Area and Severity Index (EASI) score of ≤ 3 (EASI ≤ 3), 100% improvement in EASI (EASI 100), both ≥ 90% improvement in EASI (EASI 90) and WP-NRS 0/1, both EASI ≤ 3 and WP-NRS 0/1, and both EASI 100 and WP-NRS 0/1. The analysis was conducted on adult patients, aligned with the intention-to treat population for the clinical trials, and used non-responder imputation. RESULTS: Across all outcomes assessed, the estimated absolute response rates were greatest for upadacitinib 30 mg, followed by upadacitinib 15 mg and then dupilumab. This pattern was observed at week 4, week 16, and week 24. CONCLUSIONS: For adults with moderate-to-severe AD, upadacitinib 30 mg appears to be the most efficacious treatment in attaining more stringent and composite outcomes across multiple timepoints, followed by upadacitinib 15 mg and then dupilumab 300 mg.

Revisiting serum storage protocols: assessing the impact of temperature variations on indirect immunofluorescence testing for pemphigus and bullous pemphigoid.

BACKGROUND: Indirect immunofluorescence (IIF) plays a crucial role in the diagnosis of pemphigus and bullous pemphigoid (BP) by detecting the presence of circulating autoantibodies in the serum of patients. The standard serum transportation method requires delivery to laboratories at 2-8 °C within a day and storage at -20 to -80 °C. However, this protocol poses logistical challenges. OBJECTIVES: We conducted a study to assess how temperature variations affect the effectiveness of IIF tests. METHODS: This case-control study analysed 203 serum specimens: 102 from patients with pemphigus and 101 from patients with BP. Specimens were stored at -80 °C (control), 24 °C, and 40 °C for seven days before analysis to investigate variations in IIF titres compared to the control conditions. RESULTS: In pemphigus serum, 95% at 24 °C and 76% at 40 °C showed no titre difference compared to controls. Similarly, 89% of BP serum at 24 °C and 82% at 40 °C matched the control titres. While 57 specimens across both groups experienced reduced titres, the decrease was primarily marginal (one-step reduction in 54 cases, two-step in 3), with no transition from positive to negative results. CONCLUSIONS: Storing serum at 24-40 °C for up to seven days before testing slightly influences IIF outcomes for pemphigus and BP. These findings could prompt a significant revision in the existing strict transport guidelines, ensuring efficient use of resources without sacrificing the accuracy of diagnostic tests.

Nutritional therapy for the prevention of post-intensive care syndrome.

Post-intensive care syndrome (PICS) is a triad of physical, cognitive, and mental impairments that occur during or following the intensive care unit (ICU) stay, affecting the long-term prognosis of the patient and also the mental health of the patient's family. While the severity and duration of the systemic inflammation are associated with the occurrence of ICU-acquired weakness (ICU-AW), malnutrition and immobility during the treatment can exacerbate the symptoms. The goal of nutrition therapy in critically ill patients is to provide an adequate amount of energy and protein while addressing specific nutrient deficiencies to survive the inflammatory response and promote recovery from organ dysfunctions. Feeding strategy to prevent ICU-AW and PICS as nutrition therapy involves administering sufficient amounts of amino acids or proteins later in the acute phase after the hyperacute phase has passed, with specific attention to avoid energy overfeeding. Physiotherapy can also help mitigate muscle loss and subsequent physical impairment. However, many questions remain to be answered regarding the potential role and methods of nutrition therapy in association with ICU-AW and PICS, and further research is warranted.

The Effects of Long-Term High Fat and/or High Sugar Feeding on Sources of Postprandial Hepatic Glycogen and Triglyceride Synthesis in Mice.

BACKGROUND: In MASLD (formerly called NAFLD) mouse models, oversupply of dietary fat and sugar is more lipogenic than either nutrient alone. Fatty acids suppress de novo lipogenesis (DNL) from sugars, while DNL inhibits fatty acid oxidation. How such factors interact to impact hepatic triglyceride levels are incompletely understood. METHODS: Using deuterated water, we measured DNL in mice fed 18-weeks with standard chow (SC), SC supplemented with 55/45-fructose/glucose in the drinking water at 30% (w/v) (HS), high-fat chow (HF), and HF with HS supplementation (HFHS). Liver glycogen levels and its sources were also measured. For HS and HFHS mice, pentose phosphate (PP) fluxes and fructose contributions to DNL and glycogen were measured using [U-13C]fructose. RESULTS: The lipogenic diets caused significantly higher liver triglyceride levels compared to SC. DNL rates were suppressed in HF compared to SC and were partially restored in HFHS but supplied a minority of the additional triglyceride in HFHS compared to HF. Fructose contributed a significantly greater fraction of newly synthesized saturated fatty acids compared to oleic acid in both HS and HFHS. Glycogen levels were not different between diets, but significant differences in Direct and Indirect pathway contributions to glycogen synthesis were found. PP fluxes were similar in HS and HFHS mice and were insufficient to account for DNL reducing equivalents. CONCLUSIONS: Despite amplifying the lipogenic effects of fat, the fact that sugar-activated DNL per se barely contributes suggests that its role is likely more relevant in the inhibition of fatty acid oxidation. Fructose promotes lipogenesis of saturated over unsaturated fatty acids and contributes to maintenance of glycogen levels. PP fluxes associated with sugar conversion to fat account for a minor fraction of DNL reducing equivalents.

Movement-related increases in subthalamic activity optimize locomotion.

The subthalamic nucleus (STN) is traditionally thought to restrict movement. Lesion or prolonged STN inhibition increases movement vigor and propensity, while optogenetic excitation has opposing effects. However, STN neurons often exhibit movement-related increases in firing. To address this paradox, STN activity was recorded and manipulated in head-fixed mice at rest and during self-initiated and self-paced treadmill locomotion. We found that (1) most STN neurons (type 1) exhibit locomotion-dependent increases in activity, with half firing preferentially during the propulsive phase of the contralateral locomotor cycle; (2) a minority of STN neurons exhibit dips in activity or are uncorrelated with movement; (3) brief optogenetic inhibition of the lateral STN (where type 1 neurons are concentrated) slows and prematurely terminates locomotion; and (4) in Q175 Huntington's disease mice, abnormally brief, low-velocity locomotion is associated with type 1 hypoactivity. Together, these data argue that movement-related increases in STN activity contribute to optimal locomotor performance.

Decomposing the association of psychosocial wellbeing with all-cause mortality: the mediating role of physical health and lifestyle factors.

PURPOSE: This study quantified the effect of 48 psychosocial constructs on all-cause mortality using data from 7,698 individuals in the U.S. Health and Retirement Study. METHODS: Latent class analysis was used to divide participants into mutually exclusive psychosocial wellbeing groups (good, average, or poor) which was subsequently considered as the exposure. Mediation analysis was then conducted to determine the direct effect of the psychosocial wellbeing groups and the indirect (mediating) effects of physical health (functional status and comorbid conditions) and lifestyle factors (physical activity, smoking, and alcohol consumption) on overall survival. We also created a composite health index measure representing the summative effect of the mediators. RESULTS: We observed a strong and statistically significant total effect (TE) between survival time and psychosocial wellbeing group (survival time ratio (SR) = 1.73, 95% confidence interval (CI):1.50,2.01 when comparing good to poor). Mediation analysis revealed that the direct effect via psychosocial wellbeing group accounted for more than half of the TE (SR = 1.46, 95% CI:1.27,1.67). The composite health index measure mediated 36.2% of the TE with the natural indirect effect SR of 1.18 (95% CI:1.13,1.22). CONCLUSION: Our findings demonstrate the interconnectedness between psychosocial wellbeing and physical health and lifestyle factors on survival.