The Revalorization of Fishery By-Products: Types, Bioactive Compounds, and Food Applications.

Recently, fish consumption has been increasing; subsequently, the number of by-products has also increased. However, generated residues are frequently discarded, and an appropriate management is necessary to properly use all fish by-products. Fishery by-products are well known for their content of bioactive compounds, such as unsaturated fatty acids, amino acids, minerals, peptides, enzymes, gelatin, collagen, and chitin. Several studies have reported that fishery by-products could provide significant properties, including antioxidant, antihypertensive, antimicrobial, anti-inflammatory, and antiobesity. Consequently, fish discards are of considerable interest to different industrial sectors, including food, nutraceuticals, medical, and pharmacology. In the food industry, the interest in using fishery by-products is focused on hydrolysates as food additives, collagen and gelatin as protein sources, chitin and chitosan to form edible films to protect food during storage, and oils as a source of Omega-3 and useful as antioxidants. Although different studies reported good results with the use of these by-products, identifying new applications in the food sector, as well as industrial applications, remains necessary.

Course of the effects of LDL-cholesterol reduction on cardiovascular risk over time: A meta-analysis of 60 randomized controlled trials.

BACKGROUND AND AIMS: Individuals with or at high risk of cardiovascular disease (CVD) often receive long-term treatment with low-density lipoprotein cholesterol (LDL-C) lowering therapies, but whether the effects of LDL-C reduction remain stable over time is uncertain. This study aimed to establish the course of the effects of LDL-C reduction on cardiovascular risk over time. METHODS: Randomized controlled trials (RCTs) of LDL-C lowering therapies were identified through a search in MEDLINE and EMBASE (1966-January 2023). The primary analyses were restricted to statins, ezetimibe, and proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitors, with other therapies included in sensitivity analyses. Random-effects meta-analyses were performed to establish the hazard ratio (HR) for major vascular events (cardiovascular death, myocardial infarction, unstable angina, coronary revascularization, or stroke) per 1 mmol/L LDL-C reduction. Course of the effects over time was assessed using random-effects meta-regression analyses for the association between follow-up duration, age, and the HR for major vascular events per 1 mmol/L LDL-C reduction. Additionally, treatment-by-time interactions were evaluated in an individual participant data meta-analysis of six atorvastatin trials. RESULTS: A total of 60 RCTs were identified (408,959 participants, 51,425 major vascular events). The HR for major vascular events per 1 mmol/L LDL-C reduction was 0.78 (95 % confidence interval [CI] 0.75-0.81). Follow-up duration was not associated with a change in the HR for major vascular events (HR for change per year 0.994; 95 % CI 0.970-1.020; p = 0.66). The HR attenuated with increasing age in primary prevention (HR for change per 5 years 1.097; 95 % CI 1.031-1.168; p = 0.003), but not secondary prevention (HR for change per 5 years 0.987; 95 % CI 0.936-1.040; p = 0.63). Consistent results were found for statin trials only, and all trials combined. In the individual participant data meta-analysis (31,310 participants, 6734 major vascular events), the HR for major vascular events did not significantly change over follow-up time (HR for change per year 0.983; 95 % CI 0.943-1.025; p = 0.42), or age (HR for change per 5 years 1.022; 95 % CI 0.990-1.055; p = 0.18). CONCLUSIONS: Based on available RCT data with limited follow-up duration, the relative treatment effects of LDL-C reduction are stable over time in secondary prevention, but may attenuate with higher age in primary prevention.

A critical literature review highlighting the methodological differences within epidemiological studies: Pedal Amputations in England.

INTRODUCTION: There is an absence in the application of standardised epidemiological principles when calculating and reporting on lower extremity amputation (LEA) rates [1]. The rates of minor LEAs in the diabetic population range from 1.2-362.9 per 100,000 and in the population without diabetes 0.9-109.4 per 100,000. The reported rates of major lower limb amputations vary from 5.6-600 per 100,000 in the diabetic population and 3.6-58.7 per 100,000 in the total population [1]. The variation in methodology does not facilitate comparison across populations and time. All studies published using the population from England, UK, describing minor amputations were systematically reviewed and rates and methodologies compared. METHOD: A systematic search was carried out using (PRISMA) guidelines [2] to reveal primary data of minor lower extremity amputation rates in England between 1988-2018. This was carried out using electronic databases, grey literature and reference list searching. The search yielded eleven studies that were eligible for review. RESULTS: Significant variation in the reporting of minor lower extremity amputation rates across regional and gender groups in England was found. Rates in the diabetic and non-diabetic population varied from 1.2 to 362.9 per 100,000 and 0.9 to 109.4 per 100,000 respectively. This was predominately a result of poorly describing numerator and denominator populations and defining minor amputations differently. As a result, there was an inability to confidently establish regional, gender and time trends. CONCLUSION: The inconsistent nature of reporting minor amputations makes drawing conclusions on temporal and population change difficult. Future studies should describe and present basic numerator and denominator population characteristics e.g. number, age and sex and use the standard definition of minor amputation as one that is at or below the ankle.

Integrative proteomics identifies a conserved Aß amyloid responsome, novel plaque proteins, and pathology modifiers in Alzheimer's disease.

Alzheimer's disease (AD) is a complex neurodegenerative disorder that develops over decades. AD brain proteomics reveals vast alterations in protein levels and numerous altered biologic pathways. Here, we compare AD brain proteome and network changes with the brain proteomes of amyloid ß (Aß)-depositing mice to identify conserved and divergent protein networks with the conserved networks identifying an Aß amyloid responsome. Proteins in the most conserved network (M42) accumulate in plaques, cerebrovascular amyloid (CAA), and/or dystrophic neuronal processes, and overexpression of two M42 proteins, midkine (Mdk) and pleiotrophin (PTN), increases the accumulation of Aß in plaques and CAA. M42 proteins bind amyloid fibrils in vitro, and MDK and PTN co-accumulate with cardiac transthyretin amyloid. M42 proteins appear intimately linked to amyloid deposition and can regulate amyloid deposition, suggesting that they are pathology modifiers and thus putative therapeutic targets. We posit that amyloid-scaffolded accumulation of numerous M42+ proteins is a central mechanism mediating downstream pathophysiology in AD.

Policy Iteration-Based Learning Design for Linear Continuous-Time Systems Under Initial Stabilizing OPFB Policy.

Policy iteration (PI), an iterative method in reinforcement learning, has the merit of interactions with a little-known environment to learn a decision law through policy evaluation and improvement. However, the existing PI-based results for output-feedback (OPFB) continuous-time systems relied heavily on an initial stabilizing full state-feedback (FSFB) policy. It thus raises the question of violating the OPFB principle. This article addresses such a question and establishes the PI under an initial stabilizing OPFB policy. We prove that an off-policy Bellman equation can transform any OPFB policy into an FSFB policy. Based on this transformation property, we revise the traditional PI by appending an additional iteration, which turns out to be efficient in approximating the optimal control under the initial OPFB policy. We show the effectiveness of the proposed learning methods through theoretical analysis and a case study.

Estimating uncertainty when providing individual cardiovascular risk predictions: a Bayesian survival analysis.

BACKGROUND: Cardiovascular disease (CVD) risk scores provide point estimates of individual risk without uncertainty quantification. The objective of the current study was to demonstrate the feasibility and clinical utility of calculating uncertainty surrounding individual CVD-risk predictions using Bayesian methods. STUDY DESIGN AND SETTING: Individuals with established atherosclerotic CVD were included from the Utrecht Cardiovascular Cohort-Secondary Manifestations of ARTerial disease (UCC-SMART). In 8,355 individuals, followed for median of 8.2 years (IQR 4.2-12.5), a Bayesian Weibull model was derived to predict the 10-year risk of recurrent CVD events. RESULTS: Model coefficients and individual predictions from the Bayesian model were very similar to that of a traditional ('frequentist') model but the Bayesian model also predicted 95% credible intervals (CIs) surrounding individual risk estimates. The median width of the individual 95%CrI was 5.3% (IQR 3.6-6.5) and 17% of the population had a 95%CrI width of 10% or greater. The uncertainty decreased with increasing sample size used for derivation of the model. Combining the Bayesian Weibull model with sampled hazard ratios based on trial reports may be used to estimate individual estimates of absolute risk reduction with uncertainty measures and the probability that a treatment option will result in a clinically relevant risk reduction. CONCLUSION: Estimating uncertainty surrounding individual CVD risk predictions using Bayesian methods is feasible. The uncertainty regarding individual risk predictions could have several applications in clinical practice, like the comparison of different treatment options or by calculating the probability of the individual risk being below a certain treatment threshold. However, as the individual uncertainty measures only reflect sampling error and no biases in risk prediction, physicians should be familiar with the interpretation before widespread clinical adaption.

Sex-Specific Response to A1BG Loss Results in Female Dilated Cardiomyopathy.

Background: Cardiac disease often manifests differently in terms of frequency and pathology between men and women. However, the mechanisms underlying these differences are not fully understood. The glycoprotein A1BG is necessary for proper cardiac function in females but not males. Despite this, the role of A1BG in the female heart remains poorly studied. Methods: To determine the sex differential function of A1BG, we generated a novel conditional A1bg allele and a novel conditional A1bg Rosa26 knockin allele. Histology, electrocardiography, transcriptional profiling (RNA-seq), transmission electron microscopy, western blot analyses, mass spectrometry, and immunohistochemistry were used to assess cardiac structure and function. Results: The study reveals that the absence of A1BG results in significant cardiac dysfunction in female but not male mice. Gene expression underscores that A1BG plays a critical role in metabolic processes and the integrity of intercalated discs in female cardiomyocytes. This dysfunction may be related to sex-specific A1BG cardiac interactomes and manifests as structural and functional alterations in the left ventricle indicative of dilated cardiomyopathy, thus suggesting a sex-specific requirement for A1BG in cardiac health. Conclusion: The loss of A1BG in cardiomyocytes leads to dilated cardiomyopathy in females, not males.

Influenza-associated and COVID-19-associated pulmonary aspergillosis in critically ill patients.

Influenza-associated pulmonary aspergillosis (IAPA) and COVID-19-associated pulmonary aspergillosis (CAPA) are increasingly recognised as important complications in patients requiring intensive care for severe viral pneumonia. The diagnosis can typically be made in 10-20% of patients with severe influenza or COVID-19, but only when appropriate diagnostic tools are used. Bronchoalveolar lavage sampling for culture, galactomannan testing, and PCR forms the cornerstone of diagnosis, whereas visual examination of the tracheobronchial tract during bronchoscopy is required to detect invasive Aspergillus tracheobronchitis. Azoles are the first-choice antifungal drugs, with liposomal amphotericin B as an alternative in settings where azole resistance is prevalent. Despite antifungal therapy, IAPA and CAPA are associated with poor outcomes, with fatality rates often exceeding 50%. In this Review, we discuss the mechanistic and clinical aspects of IAPA and CAPA. Moreover, we identify crucial knowledge gaps and formulate directions for future research.

Effects of Different Cow-Milk Beta-Caseins on the Gut-Brain Axis: A Narrative Review of Preclinical, Animal, and Human Studies.

The gut and brain communicate through bidirectional neural, endocrine, and immune signals to coordinate central nervous system activity with gastrointestinal function. Dysregulated inflammation can promote immune cell activation and increase entero-endocrine signaling and intestinal permeability; hence, a functional gut-brain axis is necessary for a healthy digestive system. The consumption of milk products can lead to gut discomfort via effects on gastrointestinal tract function and the inflammatory state, which, in turn, affect the brain. A1 ß-casein and A2 ß-casein are major components of bovine-milk protein, and their digestion may result in different physiological effects following the consumption of milk products. Peptides derived from A1 ß-casein, such as ß-casomorphins, may increase gut dysfunction and inflammation, thereby modulating the availability of bioactive metabolites in the bloodstream and contribute to changes in cognitive function. This narrative review examines the functional interrelationships between the consumption of cow-milk-derived ß-caseins and their effect on the brain, immune system, and the gut, which together comprise the gut-brain axis.

Cryptococcosis Associated With Biologic Therapy: A Narrative Review.

Cryptococcus is an opportunistic fungal pathogen that can cause disseminated infection with predominant central nervous system involvement in patients with compromised immunity. Biologics are increasingly used in the treatment of neoplasms and autoimmune/inflammatory conditions and the prevention of transplant rejection, which may affect human defense mechanisms against cryptococcosis. In this review, we comprehensively investigate the association between cryptococcosis and various biologics, highlighting their risks of infection, clinical manifestations, and clinical outcomes. Clinicians should remain vigilant for the risk of cryptococcosis in patients receiving biologics that affect the Th1/macrophage activation pathways, such as tumor necrosis factor α antagonists, Bruton tyrosine kinase inhibitors, fingolimod, JAK/STAT inhibitors (Janus kinase/signal transducer and activator of transcription), and monoclonal antibody against CD52. Other risk factors-such as age, underlying condition, and concurrent immunosuppressants, especially corticosteroids-should also be taken into account during risk stratification.

Relationship of neutrophil-to-lymphocyte ratio, in addition to C-reactive protein, with cardiovascular events in patients with type 2 diabetes.

AIM: To quantify the relationship of neutrophil-to-lymphocyte ratio (NLR) with cardiovascular events and all-cause mortality in patients with type 2 diabetes (T2D), independent of C-reactive protein (CRP). METHODS: Patients with T2D from the UCC-SMART-cohort were studied using multivariable-adjusted Cox regression. The relationship of NLR and CRP with vascular events (cerebrovascular events, myocardial infarction and vascular death) and all-cause mortality was quantified. RESULTS: During 10,833 person-years, 232 vascular events and 302 deaths occurred in 1,239 patients with T2D. Risk of vascular events and all-cause mortality increased per standard deviation (SD) in NLR (hazard ratio (HR) 1.27; 95 % confidence interval (CI):1.11-1.46) and 1.15; 95 % CI:1.02-1.30) after adjustment for CRP. CRP was not associated with vascular events after adjustment for NLR, (HR per SD 1.03; 95 % CI: 0.90-1.19), but was associated with all-cause mortality (HR per SD 1.18; 95 % CI: 1.04-1.33). Notably, NLR was related to vascular events in patients with CRP < 2 mg/L (HR per unit 1.45; 95 % CI: 1.19-1.77). CONCLUSION: In patients with T2D, NLR is related to higher risk of CVD and all-cause mortality, independently from CRP. NLR is related to CVD even when CRP is low, indicating that NLR is a marker of CVD-risk in addition to CRP. Both NLR and CRP are independently related to all-cause mortality in T2D patients.

Mosaic vaccine-induced antibody-dependent cellular phagocytosis associated with delayed HIV-1 viral load rebound post treatment interruption.

A heterologous Ad26/MVA vaccine was given prior to an analytic treatment interruption (ATI) in people living with HIV-1 (mainly CRF01_AE) who initiated antiretroviral treatment (ART) during acute HIV-1. We investigate the impact of Ad26/MVA vaccination on antibody (Ab)-mediated immune responses and their effect on time to viral rebound. The vaccine mainly triggers vaccine-matched binding Abs while, upon viral rebound post ATI, infection-specific CRF01_AE binding Abs increase in all participants. Binding Abs are not associated with time to viral rebound. The Ad26/MVA mosaic vaccine profile consists of correlated non-CRF01_AE binding Ab and Fc effector features, with strong Ab-dependent cellular phagocytosis (ADCP) responses. CRF01_AE-specific ADCP responses (measured either prior to or post ATI) are significantly higher in individuals with delayed viral rebound. Our results suggest that vaccines eliciting cross-reactive responses with circulating viruses in a target population could be beneficial and that ADCP responses may play a role in viral control post treatment interruption.

Disconnected Pancreatic Duct Syndrome: A Rare Complication of Pancreatitis.

Disconnected pancreatic duct syndrome (DPDS) is a rare complication of a common disease. Typically, DPDS occurs in acute necrotizing pancreatitis (ANP), chronic pancreatitis, abdominal surgery, or trauma. We present a case of DPDS from acute non-necrotizing pancreatitis (ANNP). A 41-year-old male with a history of alcohol use and prior AP presented with progressive, severe left-sided abdominal pain that was worse with movement. Labs revealed a lipase of 95 U/L (normal range 11-82 U/L). Computed tomography (CT) of the abdomen/pelvis (A/P) with IV contrast demonstrated a large left-sided pleural effusion, non-necrotic pancreatic pseudocysts, and a large subdiaphragmatic fluid collection. Thoracentesis of the pleural effusion revealed an amylase of 601 U/L confirming pancreatic etiology. A subsequent magnetic resonance cholangiopancreatography (MRCP) confirmed complex peripancreatic ascites, rapid subdiaphragmatic fluid accumulation, and a fistula from the pancreatic tail to retroperitoneum concerning for a rapidly dissecting pancreatic pseudocyst. He ultimately underwent endoscopic retrograde cholangiopancreatography (ERCP) with stent placement in the main pancreatic duct. His left-sided abdominal pain rapidly improved, and the patient was discharged. CT A/P one week after discharge showed a reduced size of subdiaphragmatic fluid collection. DPDS is usually seen in patients with a history of ANP. Our case demonstrates that it can also occur in ANNP, which has not previously been described in the literature. Therefore, a high index of clinical suspicion must be maintained for DPDS even in ANNP given its potential for severe complications.

Time From Hospital Arrival Until Endovascular Thrombectomy and Patient-Reported Outcomes in Acute Ischemic Stroke.

Importance: The time-benefit association of endovascular thrombectomy (EVT) in ischemic stroke with patient-reported outcomes is unknown. Objective: To assess the time-dependent association of EVT with self-reported quality of life in patients with acute ischemic stroke. Design, Setting, and Participants: Data were used from the Safety and Efficacy of Nerinetide in Subjects Undergoing Endovascular Thrombectomy for Stroke (ESCAPE-NA1) trial, which tested the effect of nerinetide on functional outcomes in patients with large vessel occlusion undergoing EVT and enrolled patients from March 1, 2017, to August 12, 2019. The ESCAPE-NA1 trial was an international randomized clinical trial that recruited patients from 7 countries. Patients with EuroQol 5-dimension 5-level (EQ-5D-5L) index values at 90 days and survivors with complete domain scores were included in the current study. Data were analyzed from July to September 2023. Exposure: Hospital arrival to arterial puncture time and other time metrics. Main Outcomes and Measures: EQ-5D-5L index scores were calculated at 90 days using country-specific value sets. The association between time from hospital arrival to EVT arterial-access (door-to-puncture) and EQ-5D-5L index score, quality-adjusted life years, and visual analog scale (EQ-VAS) were evaluated using quantile regression, adjusting for age, sex, stroke severity, stroke imaging, wake-up stroke, alteplase, and nerinetide treatment and accounting for clustering by site. Using logistic regression, the association between door-to-puncture time and reporting no or slight symptoms (compared with moderate, severe, or extreme problems) was determined in each domain (mobility, self-care, usual activities, pain or discomfort, and anxiety or depression) or across all domains. Time from stroke onset was also evaluated, and missing data were imputed in sensitivity analyses. Results: Among 1105 patients in the ESCAPE-NA1 trial, there were 1043 patients with EQ-5D-5L index values at 90 days, among whom 147 had died and were given a score of 0, and 1039 patients (mean [SD] age, 69.0 [13.7] years; 527 male [50.7%]) in the final analysis as 4 did not receive EVT. There were 896 survivors with complete domain scores at 90 days. There was a strong association between door-to-puncture time and EQ-5D-5L index score (increase of 0.03; 95% CI, 0.02-0.04 per 15 minutes of earlier treatment), quality-adjusted life years (increase of 0.29; 95% CI, 0.08-0.49 per 15 minutes of earlier treatment), and EQ-VAS (increase of 1.65; 95% CI, 0.56-2.72 per 15 minutes of earlier treatment). Each 15 minutes of faster door-to-puncture time was associated with higher probability of no or slight problems in each of 5 domains and all domains concurrently (range from 1.86%; 95% CI, 1.14-2.58 for pain or discomfort to 3.55%; 95% CI, 2.06-5.04 for all domains concurrently). Door-to-puncture time less than 60 minutes was associated higher odds of no or slight problems in each domain, ranging from odds ratios of 1.49 (95% CI, 1.13-1.95) for pain or discomfort to 2.59 (95% CI, 1.83-3.68) for mobility, with numbers needed to treat ranging from 7 to 17. Results were similar after multiple imputation of missing data and attenuated when evaluating time from stroke onset. Conclusions and Relevance: Results suggest that faster door-to-puncture EVT time was strongly associated with better health-related quality of life across all domains. These results support the beneficial impact of door-to-treatment speed on patient-reported outcomes and should encourage efforts to improve patient-centered care in acute stroke by optimizing in-hospital processes and workflows.

Use of combination therapy is associated with improved LDL-cholesterol management: 1-year follow-up results from the European observational SANTORINI study.

AIM: To assess whether implementation of the 2019 ESC/EAS dyslipidaemia guidelines observed between 2020-2021 improved between 2021-2022 in the SANTORINI study. METHODS: High- or very-high cardiovascular (CV) risk patients were recruited across 14 European countries from March 2020-February 2021, with 1-year prospective follow-up until May 2022. Lipid-lowering therapy (LLT) and 2019 ESC/EAS risk-based low-density lipoprotein cholesterol (LDL-C) goal attainment (defined as <1.4 mmol/L for patients at very high CV risk and <1.8 mmol/L for patients at high CV risk) at 1-year follow-up were compared with baseline. . RESULTS: Of 9559 patients enrolled, 9136 (2626 high risk, 6504 very high risk) had any follow-up data, and 7210 (2033 high risk, 5173 very high risk) had baseline and follow-up LDL-C data. LLT was escalated in one-third of patients and unchanged in two-thirds. Monotherapy and combination therapy usage rose from 53.6% and 25.6% to 57.1% and 37.9%, respectively. Mean LDL-C levels decreased from 2.4 mmol/L to 2.0 mmol/L. Goal attainment improved from 21.2% to 30.9%, largely driven by LLT use among those not on LLT at baseline. Goal attainment was greater with combination therapy compared with monotherapy at follow-up (39.4 vs 25.5%). CONCLUSIONS: LLT use and achievement of risk-based lipid goals increased over 1-year follow-up particularly when combination LLT was used. Nonetheless, most patients remained above goal, hence strategies are needed to improve implementation of combination LLT.

Cardiovascular diseases, a group of disorders of the heart and blood vessels, are the most common cause of death worldwide. Lowering low-density lipoprotein (LDL) cholesterol in the bloodstream reduces the risk of developing cardiovascular diseases, such as heart attacks and strokes. Guidelines recommend that those at highest risk of cardiovascular disease should achieve the lowest levels of LDL cholesterol. Several medications are available that help lower LDL cholesterol levels and prevent cardiovascular events, however, recent studies have shown that the majority of patients continue to have LDL cholesterol levels above optimal value in part due to suboptimal use of these medications. Here we report the results after 1 year of follow-up of the SANTORINI study (started in 2020) which aimed to document the management of LDL cholesterol in clinical practice across 14 countries in Europe. We found that better control of LDL cholesterol occurred when more than one drug was used (combination therapy). Use of combination therapy was low at the start of the study 25.6% but increased over 1 year to 37.9%, resulting in better control of LDL cholesterol at 1 year than observed at the start of the study. Nonetheless, only 31% of patients achieved their LDL cholesterol target levels based on the European guidelines. Greater use of combination therapies is needed in order to improve the overall population level control of LDL cholesterol.

Inverse Value Iteration and Q -Learning: Algorithms, Stability, and Robustness.

This article proposes a data-driven model-free inverse Q -learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent's trajectories of states and optimal control inputs, the algorithm reconstructs its cost function that captures the same trajectories. This article first poses a model-based inverse value iteration scheme using the agent's system dynamics. Then, an online model-free inverse Q -learning algorithm is developed to recover the agent's cost function only using the demonstrated trajectories. It is more efficient than the existing inverse reinforcement learning (RL) algorithms as it avoids the repetitive RL in inner loops. The proposed algorithms do not need initial stabilizing control policies and solve for unbiased solutions. The proposed algorithm's asymptotic stability, convergence, and robustness are guaranteed. Theoretical analysis and simulation examples show the effectiveness and advantages of the proposed algorithms.

Profiling Bacteria in the Lungs of Patients with Severe Influenza Versus COVID-19 with or without Aspergillosis.

RATIONALE: The influence of the lung bacterial microbiome, including potential pathogens, in patients with influenza- or COVID-19-associated pulmonary aspergillosis (IAPA or CAPA) is yet to be explored. OBJECTIVES: To explore the composition of the lung bacterial microbiome and its association with viral and fungal infection, immunity and outcome in severe influenza versus COVID-19 with or without aspergillosis. METHODS: We performed a retrospective study in mechanically ventilated influenza and COVID-19 patients with or without invasive aspergillosis in whom bronchoalveolar lavage (BAL) for bacterial culture (with or without PCR) was obtained within two weeks after ICU admission. Additionally, 16S rRNA gene sequencing data and viral and bacterial load of BAL samples from a subset of these patients, and of patients requiring non-invasive ventilation, were analyzed. We integrated 16S rRNA gene sequencing data with existing immune parameter datasets. MEASUREMENTS AND MAIN RESULTS: Potential bacterial pathogens were detected in 20% (28/142) of influenza and 37% (104/281) of COVID-19 patients, while aspergillosis was detected in 38% (54/142) of influenza and 31% (86/281) of COVID-19 patients. A significant association between bacterial pathogens in BAL and 90-day mortality was found only in influenza patients, particularly IAPA patients. COVID-19 but not influenza patients showed increased pro-inflammatory pulmonary cytokine responses to bacterial pathogens. CONCLUSIONS: Aspergillosis is more frequently detected in lungs of severe influenza patients than bacterial pathogens. Detection of bacterial pathogens associates with worse outcome in influenza patients, particularly in those with IAPA, but not in COVID-19 patients. The immunological dynamics of tripartite viral-fungal-bacterial interactions deserve further investigation. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Efficacy and Safety of Esmethadone (REL-1017) in Patients With Major Depressive Disorder and Inadequate Response to Standard Antidepressants: A Phase 3 Randomized Controlled Trial.

Objective: To test esmethadone (REL-1017) as adjunctive treatment in patients with major depressive disorder (MDD) and inadequate response to standard antidepressants.Methods: In this phase 3, double-blind, placebo-controlled trial, outpatients with MDD (DSM-5) were randomized to daily oral esmethadone (75 mg on day 1, followed by 25 mg daily on days 2 through 28) or placebo between December 2020 and December 2022. The primary efficacy measure was change from baseline (CFB) to day 28 in the Montgomery-Asberg Depression Rating Scale (MADRS) score. The intent-to-treat (ITT) population included all randomized participants. The per-protocol (PP) population included completers without major protocol deviations impacting assessment. Post hoc analyses included participants with severe depression (baseline MADRS score ≥35).Results: For the ITT analysis (n = 227), mean CFB was 15.1 (SD 11.3) for esmethadone (n = 113) and 12.9 (SD 10.4) for placebo (n = 114), with a mean difference (MD) of 2.3, which was not statistically significant (P = .154; Cohen effect size [ES] = 0.21). Remission rates were 22.1% and 13.2% (P = .076), and response rates were 39.8% and 27.2% (P = .044) with esmethadone and placebo, respectively. For the PP analysis (n = 198), mean CFB was 15.6 (SD 11.2) for esmethadone (n = 101) and 12.5 (SD 9.9) for placebo (n = 97), with an MD of 3.1 (P = .051; ES =0.29). In post hoc analyses of patients with baseline MADRS ≥35 in the ITT population (n = 112), MD was 6.9; P = .0059; ES = 0.57, and for the PP population (n = 98), MD was 7.9; P = .0015; ES = 0.69. Adverse events (AEs) were predominantly mild or moderate and transient, with no significant differences between groups.Conclusions: The primary end point was not met. Esmethadone showed stronger efficacy in PP than in ITT analyses, with the discrepancy not attributable to AEs impacting treatment adherence. Significant efficacy occurred in post hoc analyses of patients with severe depression. Esmethadone was well tolerated, consistent with prior studies.Trial Registration: ClinicalTrials.gov identifier: NCT04688164.