Treatment Of Respiratory Diseases Research Articles

Volatolomics in Fritillarias and Their Identification by Orientation Controlled cMOF Thin Film Chemiresistors

Comprehensive SummaryAs one of the famous traditional Chinese herbal medicines, Fritillariae Cirrhosae Bulbus (FCB) is widely used in the prevention and treatment of respiratory diseases and has the best curative effect among the known fritillarias medicines. Due to the variety, complex sources, similar appearance and shape, it is difficult to distinguish FCB with high curative effect (h‐FCB) from other common fritillarias (c‐FCB) in the market. In this paper, a very simple chemiresistor is used to identify FCB from three commonly used fritillarias drugs. The sensors are fabricated by anisotropic electrically conductive metal‐organic framework (cMOF) thin film Cu3(HHTP)2 (Cu‐HHTP[001] and Cu‐HHTP[100]) as active materials owing to their ability to detect specific groups of volatile organic compounds (volatolomics) as the functional motifs of chemiresistor. As a result, the sensors show orientation‐dependence identification ability to FCB. Cu‐HHTP[001]‐ based sensor shows the highest response (344.17%) to 0.5 g h‐FCB powder volatiles among its three other c‐FCB which is much higher than Cu‐HHTP[100] (135.50%). Ultimately, Cu‐HHTP[001] can realize the identification of FCB with an accuracy of 97.2% in a simple and real‐time manner.

A mixed method approach to analysing patterns and drivers of antibiotic use and resistance in beef farms in Argentina

IntroductionAntimicrobial resistance is a challenge to be faced by all livestock sectors; within beef farming, antibiotic use patterns vary by country and management practices. Argentina is a country with high beef production & consumption but limited information surrounding antibiotic use. The aims of this project was to understand how antibiotics are being used across the beef industry in Argentina and exploring drivers of usage.MethodsQuantitative and qualitative data was collected by: A survey of breeding and feedlot farms including antibiotic use (from purchase data); a detailed analysis of two feedlot farms’ therapeutic antibiotic use records; a survey of vets’ views on certain antibiotic practices; and a focus group of farmers and vets focusing on wider influences affecting decision making. Antibiotic use data was calculated using mg/population corrected unit (PCU) (ESVAC) and thematic analysis was used to identify drivers of antibiotic use among participants.ResultsThe median use across 17 farms that supplied purchase data was 76.52 mg/kg PCU (ESVAC; IQR = 36.81 mg/kg PCU [ESVAC]). The detailed farm records showed that the largest reason for treatment was group treatments (72.92% of treatments) followed by treatment for respiratory disease (12.75% of treatments). Macrolides accounted for 76.37% of treatments. Nearly half of farms used routine prophylactic treatment for arriving animals (n = 7/18). The use of quarantine and ‘sick pens’ were seen as important by surveyed vets with antibiotic prophylaxis and in-feed antibiotics seen as contributors to antibiotic resistance. The focus group highlighted the influence of the economic and political landscape on husbandry practices and the responsibility the farming sector had towards antibiotic stewardship.DiscussionOverall, Argentine beef feedlots resemble North American beef feedlots in terms of antibiotic practices but with considerably lower usage, with in-feed monensin representing a large proportion of total ABU. The adaptation period presents a challenge to animal health; antibiotics are administered a prophylaxis, metaphylactic and individual treatments depending on farm management practices. Further research into internationally comparable measures of ABU and detailed cost-benefit analysis of practical, on-farm interventions are needed to aid improved antimicrobial stewardship in livestock systems globally.

Comparative phytochemical profile and biological activity of three Terminalia species as alternative antimicrobial therapies

Ethnopharmacological relevanceMedicinal plants can help combat antibiotic resistance by providing novel, active molecules. Three plant species of the Terminalia genus are widely used in traditional medicine in the Mouhoun region for the treatment of cutaneous and respiratory diseases. Therefore, it is important to determine the ethnopharmacological potential of bark extracts from the trunks of these three Terminalia species. Aim of the studyThis study compared the phytochemical and biological activities of extracts from three Terminalia species to determine their ethnopharmacology. Materials and methodsThe medicinal properties of the extracts were assessed based on their ability to inhibit the growth of the following microorganisms: Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Candida albicans, Candida krusei, Candida glabrata, and Candida tropicalis. The significant interest in these medicinal plants among the local communities were elucidated by their antioxidant properties and phytochemical composition, along with the detection key bioactive compounds. Major phytochemical groups and phenolic compounds were determined using high-performance liquid chromatography with a diode array detector. These phytochemical findings were validated by evaluating the antioxidant capacity of the extracts using DPPH, FRAP, and ABTS assays. ResultsHydroethanolic, ethanolic, and hexane extracts from the bark of three Terminalia species inhibited the growth of both bacteria and fungi, as evidenced by their minimum inhibitory concentrations (MICs).The findings showed that Terminalia species were most effective against various tested bacteria and fungi, with MICs ranging from 0.1 to 6.25 mg/mL. Terminalia avicennioides, Terminalia macroptera, and Terminalia laxiflora extracts demonstrated 50 % inhibition of DPPH at concentrations ranging from 0.04 to 0.6 mg/mL. Phytochemical analysis revealed the presence of several families of chemical compounds, such as total phenolics and flavonoids. Phenolic compounds identified by HPLC in ethanolic extracts of T. avicennioides, such as isorhamnetin, quercetin, and ferulic acid, are recognised for their antimicrobial and antioxidant properties. ConclusionThese findings establish an ethnobotany for these three Terminalia species, with their chromatographic characteristics facilitating the identification of key molecules of interest. The ethanolic extract of T. avicennioides can be used in phytomedicinal formulations against bacterial (P. aeruginosa and S. aureus) and fungal (C. albicans and C. glabrata) infections, both of which are recurrently recorded in certain skin and respiratory tract diseases.

Dry powder inhaler deposition in the larynx and the risk of steroid inhaler laryngitis: a computational fluid dynamics study

Dry Powder Inhalers (DPIs) are a mainstay in the treatment of obstructive respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD). Deposition of inhaled corticosteroids in the larynx elicits local side effects, potentially leading to steroid inhaler laryngitis. The objective of this study was to estimate the dose of DPIs that are deposited in the larynx relative to other regions of the respiratory tract using computational fluid dynamics (CFD). An anatomically accurate model of the airways (mouth to main bronchi) was constructed based on medical imaging of a healthy adult. Respiratory airflow and particle transport were simulated for constant inhalation rates of 30, 45, and 60 L/min. Two turbulence models were compared, namely the large eddy simulation (LES) and the models. DPIs were assumed to generate an aerosol cloud with a log-normal particle size distribution characterized by the mass median aerodynamic diameter () and geometric standard deviation (). We compared two commercial DPIs, namely DPI 1 had a large particle size ( = 50 μm, ) and DPI 2 had a small particle size ( = 2 μm, ). The laryngeal dose was 1.6-to-3.8-fold higher than the bronchial dose for DPI 1, while the laryngeal and bronchial doses (units of mass per unit surface area) were similar for DPI 2 for both turbulence models and all inhalation rates. The choice of turbulence model had little impact on the total extrathoracic deposition, but a significant impact on regional doses, with the LES model predicting higher larynx-to-bronchi relative doses than the model. Our prediction that the larynx is a hotspot for DPI deposition is consistent with the observation of laryngeal side effects in DPI users. Importantly, our simulations suggest that DPIs with larger particles ( = 50 μm) may increase the risk of steroid inhaler laryngitis.

Risk factors for antimicrobial usage and diseases in Dutch veal calf farms: a cross-sectional study

Antimicrobial use (AMU) is the main driver of antimicrobial resistance (AMR). In the Netherlands, the veal calf sector was among the largest consumers of antimicrobials in Defined Daily Doses Animal (DDDA) for the year of 2022. As preventive use in Dutch livestock farms is forbidden since 2011, most AMU is due to the herd health status which is affected by the farm environment in which the conditions for diseases to spread are created. The aim of this study was to determine which disease etiologies for group treatments are associated with AMU in rosé starter veal calves, and which modifiable technical risk factors on farm are associated with those diseases and with total AMU. Cross-sectional data were collected from 36 Dutch rosé starter veal calf farms in the Netherlands in 2021 using a digital survey. Linear regression analysis showed that the main indications for AMU were respiratory infections, for which mainly tetracyclines and macrolides were used. Partial least squares regression analysis (PLS) revealed 13 on-farm practices associated with the number of group treatments for respiratory diseases and 19 with total AMU. Overlapping variables in both PLS models were related to regrouping of calves, micro-climate conditions, water access and weaning strategies. Overall, these features focused on improving animal welfare and nutrition during production and enhancing a farm’s internal and external biosecurity. This study identified opportunities for reducing AMU in rosé starter veal calf farms, which thereby could contribute to limiting AMR emergence and spread.

Public health and broader economic benefit of treating autoimmune and respiratory diseases in Greece

Abstract Background The increasing prevalence and incidence of autoimmune and respiratory diseases is a leading public health concern. This study aims to quantify the public health and broader economic gains from treating autoimmune and respiratory diseases in Greece. Methods A decision-analytic model was constructed evaluating the socioeconomic and fiscal gains of established standard of care treatments against 4 autoimmune disorders namely, rheumatoid arthritis, psoriatic arthritis, psoriasis, ankylosing spondylitis and against the respiratory diseases of asthma, and COPD. Morbidity reductions from treatment were translated into averted loss of income and absenteeism and averted tax revenue loss and prevented disability pensions. Targeted literature reviews were conducted to obtain the effectiveness of treatments on productivity-related outcomes. Economic data were obtained from official sources. Results Treating 1,000 patients for the autoimmune and respiratory conditions is estimated to generate annual gains of 196.3 productive life years (PLYs), to avert 48,547 absenteeism days and to prevent 1.2 disabilities. The annual socioeconomic and fiscal gains of treatments against autoimmune disorders are estimated at €6.5 million and €1.3 million, respectively. Preventing asthma and COPD-related morbidity, among 1,000 patients, is estimated to yield annual socioeconomic gains of €1.2 million and fiscal gains of €0.4 million. Conclusions Effective treatment of autoimmune and respiratory diseases may generate substantial public health, socioeconomic and fiscal gains, simultaneously promoting population’s health and the sustainability of the healthcare system. Key messages • It is the first study carried out in Greece aimed to assess the positive impact on public health and the broader economic value of treating autoimmune and respiratory diseases. • Therapeutic value of pharmacological interventions transcends the potential benefits to patients and public health.

Prediction of Transport and Deposition of Porous Particles in the Respiratory System Using Eulerian-Lagrangian Approach.

Deep lung delivery is crucial for respiratory disease treatment. Although nano and submicron particles exhibited a good deposition efficiency in deep regions of the lung, powder nonuniformity and particle agglomeration reduce their efficiency. Inhalation of porous particles (PPs) can overcome the mentioned challenges due to their larger size and low-density. The present study numerically investigates the deposition and penetration efficiency of orally inhaled PPs. A revised drag coefficient was implemented for PP transport. A realistic mouth-throat to the fifth generation of the lung was reconstructed from CT-scan images. A dilute suspension of uniformly distributed particles was considered at three inhalation flow rates (15, 30, and 45 L/min). Governing equations of the flow field and particle transport are solved using an Eulerian-Lagrangian approach. The results demonstrate that inhaling PPs significantly reduces the total and regional deposition of particles. There was also a critical porosity value under moderate and high inhalation flow rates for large PPs. Below this critical value, PP deposition efficiency substantially decreases. Additionally, it was also found that under low inhalation flow rates, the impact of porosity value is negligible. Almost 95% of the PPs penetrate the lower branches. These findings provide particle engineers and pharmaceutics with profound insight into developing novel inhalation techniques and drug delivery methods for deep lung delivery.

Polyphyllin VI Ameliorates Pulmonary Fibrosis by Suppressing the MAPK/ERK and PI3K/AKT Signaling Pathways via Upregulating DUSP6.

Pulmonary fibrosis (PF) is a lethal disease caused by inordinate repair of damaged lungs, for which limited strategies are available. Polyphyllin VI (PPVI), extracted and isolated from Paris polyphylla Smith var. chinensis (Franch.) Hara, has been regarded as an important traditional Chinese herbal medicine for the treatment of respiratory system diseases. This study evaluated effects of PPVI on PF and its underlying mechanism. Experimental procedure For evaluating the anti-PF effect of PPVI, we established an in vivo PF mouse model via intratracheal infusion of bleomycin (BLM) in mice and an in vitro PF model induced by TGF-β1 in NIH/3T3, HPF and A549, respectively. Subsequently, the mechanism of PPVI effects was further explored using RNA sequencing (RNA-Seq). The in vivo and in vitro results demonstrated that PPVI significantly inhibited inflammation, oxidative damage, and epithelial-mesenchymal transition. Furthermore, RNA sequencing indicated that PPVI ameliorated PF by modulating inflammation and oxidative stress responses. Furthermore, dual specificity phosphatase 6 (DUSP6), was the shared and most significant differentially expressed gene associated with inflammation and oxidative stress response after PPVI treatment. Mechanistically, silencing DUSP6 can eliminate the suppressive impact on PPVI for the activation of fibroblast and the phosphorylation of ERK and AKT. Summarily, our findings revealed the potential of PPVI in mitigating PF via upregulating DUSP6 and highlighted the regulatory function of DUSP6 in the pathogenesis of PF.

HPLC Profile of Bioactives and Antioxidant Potential in Acalypha indica Extract

Acalypha indica is a plant found in many parts of Africa and Asia. The plant is used for the treatment of many respiratory diseases, management of cancers, diabetes and other diseases. The leaves of Acalypha indica were harvested, washed and shade dried. They were later extracted with methanol. The methanolic extract of Acalypha indica was subjected to DPPH radical scavenging assay, total antioxidant and HPLC quantification of phenols and flavonoids. The result showed a percentage yield of 5.72 %. Also the antioxidant capacity of Acalypha indicia based on the phosphomolybdenum method showed 13.60 ± 0.21 mg AAE/g extract. The DPPH radical scavenging potential of Acalypha indica showed that at 100 – 1000 µg/ml, the extract of Acalypha indica inhibited 7.2 ± 0.35 – 65.13 ± 1.53 % of DPPH radical as compared with standard gallic acid. The phenolics and flavonoids detected through HPLC are shown in Table 3. The phenolics and polyphenols with higher quantity in Extract of Acalypha indica are naringenin (169.91 mg/100 g), gallic acid (131.51 mg/100 g), rutin (76.72 mg/100 g), syringic acid (35.75 mg/100 g), ferulic acid (30.10 mg/100 g) and quercetin (11.36 mg/100 g). The results showed that Acalypha indica possesses antiradical, total antioxidant properties including a wide range of phenols and polyphenols. Therefore the extract can be a source of dietary supplement. This plant extract is a source of medicine if further research is applied.

Exposure to toluene diisocyanate induces dysbiosis of gut-lung homeostasis: Involvement of gut microbiota

Toluene diisocyanate (TDI) is a major industrial compound that induces occupational asthma with steroid-resistant properties. Recent studies suggest that the gastrointestinal tract may be an effective target for the treatment of respiratory diseases. However, the alterations of the gut-lung axis in TDI-induced asthma remain unexplored. Therefore, in this study, a model of stable occupational asthma caused by TDI exposure was established to detect the alteration of the gut-lung axis. Exposure to TDI resulted in dysbiosis of the gut microbiome, with significant decreases in Barnesiella_intestinihominis, Faecalicoccus_pleomorphus, Lactobacillus_apodemi, and Lactobacillus_intestinalis, but increases in Alistipes_shahii and Odoribacter_laneus. The largest change in abundance was in Barnesiella_intestinihominis, which decreased from 12.14 per cent to 6.18 per cent. The histopathological abnormalities, including shorter length of intestinal villi, thinner thickness of muscularis, reduced number of goblet cells and inflammatory cell infiltration, were found in TDI-treated mice compared to control mice. In addition, increased permeability (evidenced by significantly reduced levels of ZO-1, Occludin and Claudin-1) and activation of TLR4/NF-κB signaling were observed in the intestine of these TDI-exposed mice. Concurrently, exposure to TDI resulted in airway hyperresponsiveness, overt cytokine production (e.g., IL-4, IL-5, IL-13, IL-25, and IL-33), and elevated IgE level within the respiratory tract. The expression of tight junction proteins is reduced and TLR4/NF-κB signaling is activated in the lung following TDI treatment. In addition, correlation analyses showed that changes in the gut microbiota were correlated with TDI exposure-induced airway inflammation. In conclusion, the present study suggests that the immune gut-lung axis may be involved in the development of TDI-induced asthma, which may have implications for potential interventions against steroid-resistant asthma.

Mannose targeting of poly(lactic-co-glycolic acid): a promising approach for improving sublingual allergen-specific immunotherapy

Objective One of the most effective treatments for allergic respiratory diseases is allergen-specific sublingual immunotherapy (SLIT). While, mannose targeting has been applied in various immunostimulatory approaches, but it has not been investigated in sublingual allergen-specific immunosuppressive treatment. This study assesses mannose targeting for the ovalbumin (Ova) loaded poly(lactic-co-glycolic acid) (PLGA) nanoparticles(NPs). Methods The emulsion-solvent evaporation method was employed for the synthesis of PLGA NPs containing Ova, and subsequently they attached to D-mannose. Ova-sensitized mice underwent treatment in different ways: subcutaneous administration of 10 µg Ova, sublingual administration of 5 and 10 µg Ova loaded in PLGA NPs, 5 and 10 µg Ova loaded in mannose-targeted PLGA NPs, 10 µg Ova, and 10 µg Ova loaded in dendritic cell-specific aptamer-attached PLGA NPs. Serum Ova-specific IgE and IgG2a levels, as well as IFN-γ, IL-4, IL-10, and IL-17a levels in the supernatant of Ova-stimulated splenocytes were measured. Splenocyte proliferation was assessed using an MTT assay, and also lung histological examinations, and nasal lavage fluid cell counting were performed. Results Ova-specific IgE, IL-4, IL-17a levels, eosinophil cell count, and splenocyte proliferation were remarkably reduced in the mice treated with mannose or aptamer targeted NPs compared to other groups. Also, IL-10 and IFN-γ levels were remarkably increased in the targeted NPs groups. Conclusion Our findings indicated that mannose targeting of PLGA NPs could decrease allergen dose and improve immunomodulatory effects of SLIT. However, this approach suggests an effective formulation for SLIT in the mice model, further studies with common allergens are needed for application in humans.

A Comparative Study of Metaheuristic Feature Selection Algorithms for Respiratory Disease Classification.

The correct diagnosis and early treatment of respiratory diseases can significantly improve the health status of patients, reduce healthcare expenses, and enhance quality of life. Therefore, there has been extensive interest in developing automatic respiratory disease detection systems. Most recent methods for detecting respiratory disease use machine and deep learning algorithms. The success of these machine learning methods depends heavily on the selection of proper features to be used in the classifier. Although metaheuristic-based feature selection methods have been successful in addressing difficulties presented by high-dimensional medical data in various biomedical classification tasks, there is not much research on the utilization of metaheuristic methods in respiratory disease classification. This paper aims to conduct a detailed and comparative analysis of six widely used metaheuristic optimization methods using eight different transfer functions in respiratory disease classification. For this purpose, two different classification cases were examined: binary and multi-class. The findings demonstrate that metaheuristic algorithms using correct transfer functions could effectively reduce data dimensionality while enhancing classification accuracy.

Harnessing spectrophotometry resolution power for determining ternary mixture for respiratory disorders treatment in their pharmaceutical formulation.

A ternary mixture incorporating Hydroxyzine hydrochloride (HYX), Ephedrine hydrochloride (EPH) and Theophylline (THP) frequently prescribed for the treatment of respiratory diseases. Herein, two spectrophotometric methods are designated and applied to resolve these three components in their mixture. Method A is ratio-subtraction combined with derivative spectrophotometry, where THP can be determined directly at its λmax 271 nm (neither HYX or EPH interfere), then for determination of HYX and EPH, the ternary mixture was divided by 22 μg/mL of THP and after subtraction of the plateau region, HYX can be determined directly at its λmax 234.2 nm (absence of EPH intervention). Finally, the third derivative (3D) spectrophotometric approach was utilized to estimate EPH by detecting the peak amplitude at 222 nm with Δλ = 4 and a scaling factor 100. Principal Component Regression (PCR) and Partial Least Squares (PLS), two multivariate calibration approaches, were applied effectively in Method B. This method effectively quantified the mixture under investigation by using the absorption spectra obtained from suitable solutions of the three components in the 210-230 nm region. The calibration models were evaluated using cross-validation with PCR and PLS, producing statistical characteristics that demonstrate the effectiveness of the calibration models. Synthetic and pharmaceutical preparations were also used to conduct external validation. In pharmaceutical formulation, these methods were successfully applied to analyze HYX, EPH, and THP without overlap from formulation's excipients. Moreover, the study's findings were statistically contrasted with those of earlier reported HPLC method. Appraisal approaches were used to determine whether the new spectrophotometric methods had an adverse environmental impact involving the Green Analytical Procedure Index (GAPI) and the AGREE (Analytical Greenness). These evaluations delivered information about the methods' eco-friendliness and sustainability, proving that they are in line with ecologically attributed practices. Furthermore, the Blue Applicability Grade Index (BAGI) was utilized to identify and verify the feasibility and practicality of the suggested approaches.

Research Progress of Breath Sound Analysis for Common Respiratory Diseases in Children

Breath sounds can reflect the physiological and pathological conditions of the lungs and airways.Due to the differences in acoustic characteristics of breath sounds between healthy children and those with different respiratory diseases,analyzing breath sounds may provide important information for the diagnosis and treatment of respiratory diseases in children.With the development of digital auscultation,children's breath sounds have gradully become a research focus.This article summarizes the recent research progress in breath sound analysis for the diagnosis and treatment of common respiratory diseases in children,offering reference for the research in related fields.

Development of a rapid method for the simultaneous determination of aminophylline, doxofylline, bromhexine, and ambroxol by HPLC.

Introduction: Antitussive and expectorant drugs such as aminophylline (APL), doxofylline (DXL), bromhexine hydrochloride (BXH), and ambroxol hydrochloride (AXH), either individually or in combination, are widely used in the prevention and treatment of respiratory diseases. The study aimed to establish a high-performance liquid chromatography (HPLC) method for the simultaneous determination of these four drugs and to investigate their stability in 0.9% sodium chloride injection or 5% glucose injection over 48 hours. Methods: An InertSustain C18 column (150 mm × 4.6 mm, 5 μm) was used. The mobile phase consisted of acetonitrile and 50 mmol·L-1 potassium dihydrogen phosphate solution (pH 4.0) with gradient elution. The flow rate was 0.8 mL·min-1, and the column temperature was maintained at 30°C. The stability of APL, DXL, BXH, and AXH in 0.9% sodium chloride and 5% glucose injections over 48 h was determined using HPLC. Results: APL, DXL, BXH, and AXH showed good linearity within the ranges of 0.01 to 0.20, 0.003-0.06, 0.015-0.30, and 0.016-0.16 mg·mL-1, respectively (r > 0.999). The intraday and interday relative standard deviations were <2%, with recovery rates between 98.4% and 102.2%. The four drugs remained colorless and clear in infusion mixtures. The pH value fluctuated within ±0.3 over 48 hours, and the relative percentage content of the drugs ranged from 95.0% to 105.0%. Conclusion: The established HPLC method is simple, reliable, and stable, allowing for the simultaneous determination of the four antitussive and expectorant drugs. APL, DXL, BXH, and AXH were stable within 48 hours when mixed with 0.9% sodium chloride and 5% glucose injections.

Respiratory medical quality control system construction in China.

The construction of a quality control system for respiratory medicine is of great significance for improving the quality and homogenization of the diagnosis and treatment of respiratory diseases. The national respiratory quality control work conducted by the China National Respiratory Medicine Quality Control Center was summarized.

Intratracheal delivery of macrophage targeted Celastrol-loaded PLGA nanoparticles for enhanced anti-inflammatory efficacy in acute lung injury mice

Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are common causes of respiratory failure in critically ill patients. There is still a lack of definitive and effective treatment options, and the mortality rate remains as high as 30% to 40%. Effective therapeutics for ALI/ARDS are greatly hindered by the side effects resulting from inefficient delivery to the disease lesions and off-targeting biodistribution of drugs. Macrophages play an integral role in maintaining the steady state of the immune system and are involved in inflammation processes. Thus, nanodrug to accurately target macrophages have the potential to transform disease treatment. Here, we developed an mannosylated drug delivery system to target and deliver celastrol (Cel) to the alveolar macrophages for enhanced alleviating the cytokines in LPS-induce ALI mice. In vitro data demonstrated that the as-synthesized Man@Cel-NPs significantly improved the targeting of Cel into the inflammatory macrophages via mannose receptor-mediated phagocytosis. In vivo experiments further showed that intratracheal delivery of Man@Cel-NPs can improve the dysregulation of inflammatory response in LPS-induced mice by inhibiting the release of inflammatory cytokines and increasing autophagy and decreasing apoptosis in lungs. This work provides a potential NP platform for the locally tracheal delivery of herbal ingredients and exhibits promising clinical potential in the treatment of numerous respiratory diseases, including ALI/ARDS.

Lilium brownii/Baihe as Nutraceuticals: Insights into Its Composition and Therapeutic Properties.

Nutraceuticals are compounds or components in food that offer health benefits. They can be incorporated into food to make it functional or used as supplements or medicine. Lilium brownii/Baihe is one of the classic nutraceuticals. The chemical composition of Lilium is complex and has a variety of pharmacological effects. Moreover, the compound preparation based on Lilium has been used in the treatment of respiratory diseases in traditional Chinese medicine. In addition, Lanzhou lily has become food on the dinner table. Therefore, Lilium brownii/Baihe is a nutraceutical with a long history. Based on the current understanding of Lilium, this review provides an in-depth discussion of the bioactive components and pharmacological effects of Lilium. This is important to provide theoretical reference for the in-depth study of Lilium as well as its development and application in medicine, food, and other industries.

The effects of all-trans retinoic acid on prednisolone-induced osteoporosis in zebrafish larvae

Glucocorticoids (GCs) are extensively used as anti-inflammatory and immunosuppressive medications in the long-term treatment of rheumatic disorders, respiratory diseases, renal diseases, and organ transplantation. Prolonged use of GCs can reduce bone mineral density, leading to osteoporosis (Glucocorticoid Induced Osteoporosis, GIOP) and fracture. All-trans retinoic acid (ATRA) is an active vitamin A metabolite that regulates embryonic development and adult organ function. ATRA has been found in studies to enhance osteogenesis. To examine the interventional effects of ATRA on GIOP and the mechanisms of ATRA activities, we first performed bioinformatic analysis to identify potential gene targets of ATRA. Zebrafish larvae were recruited as experimental animals, and the frequently used GC, prednisolone, was administered to larvae to construct a GIOP model. We evaluated the influence of exogenous ATRA on the activities of bone metabolic enzymes, the expression of genes linked to osteoblasts and osteoclasts, and the restoration of bone mineral density and bone mass in GIOP zebrafish larvae. Furthermore, we studied the influence of RBM14, a transcriptional coactivator and negative reciprocal factor of ATRA, on the regulation of osteoblastic gene expression during the anti-GIOP process of ATRA using the morpholino knockdown approach. The findings of bone metabolic enzyme activity (alkaline phosphatase, ALP and tartrate-resistant acid phosphatase, TRAP) and expression assays of osteoblastic marker genes (Runx2a, Runx2b, SP7, Csf1a, RANKL, and CTSK) indicated that ATRA had bidirectional effects on osteogenesis. However, in the GIOP model, ATRA reversed the GIOP-induced osteoporosis phenotype by inhibiting the GIOP-induced suppression of osteoblastic metabolic enzyme (ALP) activities and osteoblastic marker gene expression (Runx2a, Runx2b, and SP7), and this antagonism was concentration-dependent. We also observed that ATRA inhibited RBM14 expression in zebrafish larvae, while ATRA alone and RBM14 knockdown showed a consistent induction of osteoblast marker gene expression, implying that ATRA's inhibitory effect on RBM14 expression may underlie ATRA's osteogenic effects. Based on these data, we postulated that ATRA may ameliorate GIOP by decreasing RBM14 expression, thereby enhancing osteoblastic marker gene expression.

Economic impact of mortality prediction by predictive model at first and second treatment for bovine respiratory disease.

To evaluate a predictive model's ability to determine cattle mortality following first and second treatment for bovine respiratory disease and to understand the differences in net returns comparing predictive models to the status quo. 2 boosted decision tree models were constructed, 1 using data known at first treatment and 1 with data known at second treatment. Then, the economic impact of each outcome (true positive, true negative, false positive, and false negative) was estimated using various market values to determine the net return per head of using the predictive model to determine which animals should be culled at treatment. This was compared to the status quo to determine the difference in net return. The models constructed for the prediction of mortality performed with moderate accuracy (areas under the curve > 0.7). The economic analysis found that the models at a high specificity (> 90%) could generate a positive net return in comparison to status quo. This study showed that predictive models may be a useful tool to make culling decisions and could result in positive net returns. Bovine respiratory disease is the costliest health condition experienced by cattle on feed. Feedyard record-keeping systems generate vast amounts of data that could be used in predictive models to make management decisions. It is essential to understand the accuracy of predictions made via machine learning. However, the economic impact of implementing predictive models in a feedyard will influence adoption.