BACKGROUND: Current guidelines discourage prophylactic plasma use in non-bleeding patients. This study assesses global plasma transfusion practices in the intensive care unit (ICU) and their alignment with current guidelines. STUDY DESIGN AND METHODS: This was a sub-study of an international, prospective, observational cohort. Primary outcomes were in-ICU occurrence rate of plasma transfusion, proportion of plasma events of total blood products events, and number of plasma units per event. Secondary outcomes included transfusion indications, INR/PT, and proportion of events for non-bleeding indications. RESULTS: Of 3643 patients included, 356 patients (10%) experienced 547 plasma transfusion events, accounting for 18% of total transfusion events. A median of 2 (IQR 1, 2) units was given per event excluding massive transfusion protocol (MTP) and 3 (IQR 2, 6) when MTP was activated. MTP accounted for 39 (7%) of events. Indications of non-MTP events included active bleeding (54%), prophylactic (25%), and pre-procedure (12%). Target INR/PT was stated for 43% of transfusion events; pre-transfusion INR/PT or visco-elastic hemostatic assays (VHA) were reported for 73%. Thirty-seven percent of events were administered for non-bleeding indications, 54% with a pre-transfusion INR < 3.0 and 30% with an INR < 1.5. DISCUSSION: Plasma transfusions occurred in 10% of ICU patients. Over a third were given for non-bleeding indications and might have been avoidable. Target INR/PT was not stated in more than half of transfusions, and pre-transfusion INR/PT or VHA was not reported for 27%. Further research and education is needed to optimize guideline implementation and to identify appropriate indications for plasma transfusion.
- MeSH
- Intensive Care Units * MeSH
- Plasma * MeSH
- Hemorrhage therapy etiology prevention & control MeSH
- Middle Aged MeSH
- Humans MeSH
- Blood Component Transfusion * MeSH
- Prospective Studies MeSH
- Aged MeSH
- Practice Guidelines as Topic MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Observational Study MeSH
BACKGROUND: Plasma sulfur amino acids (SAAs), particularly cysteine, are associated with obesity. One proposed mechanism is the altered regulation of the stearoyl-CoA desaturase (SCD) enzyme. Changes in the SCD enzyme activity have been linked to obesity, as well as to plasma SAA concentrations. OBJECTIVE: This study aimed to investigate whether estimated SCD activity mediates the associations between plasma SAAs and measures of overall adiposity and specific fat depots. METHODS: We examined cross-sectional data from a subset of the Maastricht Study (n = 1129, 50.7% men, 56.7% with (pre)diabetes). Concentrations of methionine, total homocysteine, cystathionine, total cysteine (tCys), total glutathione (tGSH), and taurine were measured in fasting plasma. Outcomes included measures of overall, peripheral and central adiposity, and liver fat. SCD activity was estimated by ratios of serum fatty acids as SCD16 and SCD18 indices. The associations between plasma SAAs and measures of adiposity or liver fat were examined with multiple linear regression analysis. Multiple mediation analysis was used to investigate whether the significant associations were mediated by SCD16 and SCD18 indices. RESULTS: Plasma tCys was positively associated with all adiposity measures (β ranged from 0.15 to 0.30). SCD16 significantly mediated all associations (proportion mediated ranged from 5.1% to 9.7%). Inconsistent mediation effects were found for SCD18. Despite a significant inverse association of plasma tGSH with all adiposity measures (β ranged from -0.08 to -0.16), no significant mediation effect was found. CONCLUSIONS: Plasma tCys may promote excessive body fat accumulation via upregulation of SCD activity.
- MeSH
- Adiposity * MeSH
- Cysteine * blood MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Obesity blood MeSH
- Cross-Sectional Studies MeSH
- Stearoyl-CoA Desaturase * metabolism blood MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
In screening biocontrol strains with broad-spectrum and high-efficiency herbicidal activities, a strain with strong pathogenicity, HY-021, was isolated from the leaves of Rumex acetosa, which was identified as Botrytis fabiopsis based on morphology and molecular biology. The herbicidal activities of the fermentation filtrate of strain HY-021 against nine weeds, including Chenopodium album L., Elsholtzia densa Benth., Malva verticillata L. var. Crispa, Polygonum lapathifolium L., Amaranthus retroflexus L., Avena fatua L., Thlaspi arvense L., Polygonum aviculare L., and Galium spurium L., were determined in vitro and in vivo. The results showed that the pathogenicity of strain HY-021 to the different weeds in vitro was as follows: E. densa > A. retroflexus > P. aviculare > P. lapathifolium > M. verticillata > T. arvense > G. spurium > A. fatua > C. album. Seven days after inoculation with the HY-021 strain, the incidences in nine weeds were in the range of 32.9-87.23%, and the disease index values of the nine weeds were 41.73-94.57%. The pathogenic effects from high to low were A. retroflexus > E. densa > A. fatua > G. spurium > C. album > M. verticillata > T. arvense > P. aviculare > P. lapathifolium. The crop safety test showed that the biocontrol strain HY-021 was safe to V. faba, P. sativum, H. vulgare, and T. aestivum, but had a slight effect on B. napus. Scanning electron microscopy showed that the mycelium of strain HY-021 invaded the tissue through the stomata of C. album leaves, parasitized and reproduced in the tissue, and gradually destroyed the tissue. The results of this study provide a basis for the development and utilization of new and efficient microbial source herbicides.
- MeSH
- Pest Control, Biological * methods MeSH
- Biological Control Agents * MeSH
- Botrytis * isolation & purification physiology genetics pathogenicity MeSH
- Herbicides metabolism pharmacology MeSH
- Weed Control * methods MeSH
- Plant Leaves microbiology MeSH
- Plant Diseases * microbiology prevention & control MeSH
- Plant Weeds * microbiology MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- China MeSH
Endophytes are symbionts that live in healthy plants and potentially improve the health of plant holobionts. Here, we investigated the bacterial endophyte community of Citrus reticulata grown in the northern Persian Gulf. Bacteria were isolated seasonally from healthy trees (root, stem, bark, trunk, leaf, and crown tissues) in four regions of Hormozgan province (i.e., Ahmadi, Siyahoo, Sikhoran, Roudan), a subtropical hot region in Iran. A total of 742 strains from 17 taxa, 3 phyla, and 5 orders were found, most of which belonged to Actinobacteria (Actinobacteriales) as the dominant group, followed by Firmicutes (Bacillales), Proteobacteria (Sphingomonadales, Rhizobiales), and Cyanobacteria (Synechoccales). The genera included Altererythrobacter, Arthrobacter, Bacillus, Cellulosimicrobium, Curtobacterium, Kocuria, Kytococcus, Methylopila, Mycobacterium, Nocardioides, Okiabacterium, Paracraurococcus, and Psychrobacillus. The most frequently occurring species included Psychrobacillus psychrodurans, Kytococcus schroetri, and Bacillus cereus. In addition, the overall colonization frequency and variability of endophytes were higher on the trunks. The leaves showed the lowest species variability in all sampling periods. The frequency of endophyte colonization was also higher in summer. The Shannon-Wiener (H') and Simpson indices varied with all factors, i.e., region, season, and tissue type, with the maximum in Roudan. Furthermore, 52.9% of the strains were capable of nitrogen fixation, and 70% produced antagonistic hydrogen cyanide (HCN). Thus, C. reticulata harbors a variety of bioactive bacterial endophytes that could be beneficial for host fitness in such harsh environments.
- MeSH
- Bacteria * classification metabolism isolation & purification genetics MeSH
- Biodiversity MeSH
- Citrus * microbiology MeSH
- Endophytes * classification isolation & purification metabolism genetics MeSH
- Nitrogen Fixation * MeSH
- Phylogeny MeSH
- Plant Leaves microbiology MeSH
- Microbiota * MeSH
- RNA, Ribosomal, 16S genetics MeSH
- Seasons MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Iran MeSH
The growth and accumulation of active ingredients of Angelica sinensis were affected by rhizosphere soil microbial communities and soil environmental factors. However, the correlationship between growth and active ingredients and soil biotic and abiotic factors is still unclear. This study explored rhizosphere soil microbial community structures, soil physicochemical properties, enzyme activities, and their effects on the growth and active ingredient contents of A. sinensis in three principal cropping areas. Results indicated that the growth indices, ligustilide, ferulic acid contents, and soil environmental factors varied in cropping areas. Pearson correlation analysis revealed that the growth of A. sinensis was affected by organic matter, total nitrogen, total phosphorus, and available phosphorus; ferulic acid and ligustilide accumulation were related to soil catalase and alkaline phosphatase activities, respectively. Illumina MiSeq sequencing showed that the genera Mortierella and Conocybe were the dominant fungal communities, and Sphingomonas, Pseudomonas, Bryobacter, and Lysobacter were the main bacterial communities associated with the rhizosphere soil. Kruskal-Wallis one-way ANOVA and Spearman correlation conjoint analysis demonstrated a significant positive correlation (p < 0.001) among the composition of the rhizosphere microbial communities at all three sampling sites. The growth and active ingredient accumulation of A. sinensis not only was significantly susceptible to the bacterial communities of Sphingomonas, Epicoccum, Marivita, Muribaculum, and Gemmatimonas but also were significantly influenced by the fungal communities of Inocybe, Septoria, Tetracladium, and Mortierella (p < 0.05). Our findings provide a scientific basis for understanding the relationship between the growth and active ingredients in A. sinensis and their corresponding rhizosphere soil microbial communities, soil physicochemical properties, and enzyme activities.
- MeSH
- Angelica sinensis * growth & development chemistry microbiology MeSH
- Bacteria classification genetics isolation & purification MeSH
- Nitrogen analysis MeSH
- Phosphorus analysis MeSH
- Fungi classification genetics isolation & purification MeSH
- Microbiota * MeSH
- Soil chemistry MeSH
- Soil Microbiology * MeSH
- Rhizosphere * MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- China MeSH
BACKGROUND AND AIM: Diabetes has been shown in last decades to be associated with a significantly higher mortality among patients with ST-segment elevation myocardial infarction (STEMI) treated with primary PCI (PPCI). Therefore, the aim of current study was to evaluate the impact of diabetes on times delays, reperfusion and mortality in a contemporary STEMI population undergoing PPCI, including treatment during the COVID pandemic. METHODS AND RESULTS: The ISACS-STEMI COVID-19 is a large-scale retrospective multicenter registry involving PPCI centers from Europe, Latin America, South-East Asia and North-Africa, including patients treated from 1st of March until June 30, 2019 and 2020. Primary study endpoint of this analysis was in-hospital mortality. Secondary endpoints were postprocedural TIMI 0-2 flow and 30-day mortality. Our population is represented by 16083 STEMI patients. A total of 3812 (23,7 %) patients suffered from diabetes. They were older, more often males as compared to non-diabetes. Diabetic patients were less often active smokers and had less often a positive family history of CAD, but they were more often affected by hypertension and hypercholesterolemia, with higher prevalence of previous STEMI and previous CABG. Diabetic patients had longer ischemia time, had more often anterior MI, cardiogenic shock, rescue PCI and multivessel disease. They had less often out-of-hospital cardiac arrest and in-stent thrombosis, received more often a mechanical support, received less often a coronary stent and DES. Diabetes was associated with a significantly impaired postprocedural TIMI flow (TIMI 0-2: 9.8 % vs 7.2 %, adjusted OR [95 % CI] = 1.17 [1.02-1.38], p = 0.024) and higher mortality (in-hospital: 9.1 % vs 4.8 %, Adjusted OR [95 % CI] = 1.70 [1.43-2.02], p < 0.001; 30-day mortality: 10.8 % vs 6 %, Adjusted HR [95 % CI] = 1.46 [1.26-1.68], p < 0.001) as compared to non-diabetes, particularly during the pandemic. CONCLUSIONS: Our study showed that in a contemporary STEMI population undergoing PPCI, diabetes is significantly associated with impaired epicardial reperfusion that translates into higher in-hospital and 30-day mortality, particularly during the pandemic.
- MeSH
- Time-to-Treatment MeSH
- Time Factors MeSH
- COVID-19 * mortality epidemiology MeSH
- Diabetes Mellitus * mortality diagnosis epidemiology MeSH
- Risk Assessment MeSH
- ST Elevation Myocardial Infarction * mortality therapy diagnosis MeSH
- Percutaneous Coronary Intervention * mortality adverse effects MeSH
- Middle Aged MeSH
- Humans MeSH
- Hospital Mortality MeSH
- Registries MeSH
- Retrospective Studies MeSH
- Risk Factors MeSH
- Aged MeSH
- Treatment Outcome MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
β-Glucans comprise a group of β-D-glucose polysaccharides (glucans) that occur naturally in the cell walls of bacteria, fungi, and cereals. Its degradation is catalyzed by β-glucanases, enzymes that catalyze the breakdown of β-glucan into cello-oligosaccharides and glucose. These enzymes are classified as endo-glucanases, exo-glucanases, and glucosidases according to their mechanism of action, being the lichenases (β-1,3;1,4-glucanases, EC 3.2.1.73) one of them. Hence, we aimed to enhance lichenase production by Thermothelomyces thermophilus through the application of response surface methodology, using tamarind (Tamarindus indica) and jatoba (Hymenaea courbaril) seeds as carbon sources. The crude extract was immobilized, with a focus on improving lichenase activity, using various ionic supports, including MANAE (monoamine-N-aminoethyl), DEAE (diethylaminoethyl)-cellulose, CM (carboxymethyl)-cellulose, and PEI (polyethyleneimine)-agarose. Regarding lichenase, the optimal conditions yielding the highest activity were determined as 1.5% tamarind seeds, cultivation at 50 °C under static conditions for 72 h. Moreover, transitioning from Erlenmeyer flasks to a bioreactor proved pivotal, resulting in a 2.21-fold increase in activity. Biochemical characterization revealed an optimum temperature of 50 °C and pH of 6.5. However, sustained stability at varying pH and temperature levels was challenging, underscoring the necessity of immobilizing lichenase on ionic supports. Notably, CM-cellulose emerged as the most effective immobilization medium, exhibiting an activity of 1.01 U/g of the derivative (enzyme plus support), marking a substantial enhancement. This study marks the first lichenase immobilization on these chemical supports in existing literature.
- MeSH
- Enzymes, Immobilized * metabolism chemistry MeSH
- Fungal Proteins * metabolism chemistry MeSH
- Glycoside Hydrolases * metabolism chemistry biosynthesis MeSH
- Hydrogen-Ion Concentration MeSH
- Fruit metabolism MeSH
- Seeds metabolism MeSH
- Sordariales MeSH
- Enzyme Stability MeSH
- Tamarindus metabolism microbiology MeSH
- Publication type
- Journal Article MeSH
BACKGROUND: Hypertension is the most prevalent cardiovascular risk factor, with several detrimental effects on the cardiovascular system. Contrasting results have been reported so far on its prognostic role in patients admitted for ST-segment elevation myocardial infarction (STEMI). Therefore, we investigated the impact of hypertension on short-term mortality in a large multicenter contemporary registry of STEMI patients, including patients treated during COVID-19 pandemic. METHODS: The ISACS-STEMI COVID-19 was a retrospective registry that included STEMI patients treated with primary percutaneous coronary intervention (PCI) between March and June of 2019 and 2020 in 109 high-volume primary PCI centers from 4 continents. We collected data on baseline, clinical and procedural characteristics, in-hospital outcome and 30-day mortality. For this analysis patients were grouped according to history of hypertension at admission. RESULTS: A total of 16083 patients were assessed, including 8813 (54.8%) with history of hypertension. These patients were more often elderly, with a worse cardiovascular risk profile, but were less frequently active smoker. Some procedural differences were observed between the two groups, including lower rate of thrombectomy and use of glycoprotein IIb/IIIa inhibitors or cangrelor but more extensive coronary disease in patients with hypertension. Between patients with and without hypertension, there was no significant difference in SARS-CoV-2 positivity. Hypertensive patients had a significantly higher in-hospital and 30-day mortality, similarly observed in both pre-COVID-19 and COVID-19 era, and confirmed after adjustment for main baseline differences and propensity score (in-hospital mortality: adjusted odds ratio (OR) [95% confidence interval (CI)] =1.673 [1.389-2.014], P < 0.001; 30-day mortality: adjusted hazard ratio (HR) [95% CI] = 1.418 [1.230-1.636], P < 0.001). CONCLUSION: This is one of the largest and contemporary study assessing the impact of hypertension in STEMI patients undergoing primary angioplasty, including also the COVID-19 pandemic period. Hypertension was independently associated with significantly higher rates of in-hospital and 30-day mortality.
- MeSH
- COVID-19 * complications mortality MeSH
- Hypertension * complications mortality MeSH
- ST Elevation Myocardial Infarction * mortality complications therapy MeSH
- Percutaneous Coronary Intervention * MeSH
- Middle Aged MeSH
- Humans MeSH
- Hospital Mortality MeSH
- Registries * MeSH
- Retrospective Studies MeSH
- Risk Factors MeSH
- SARS-CoV-2 MeSH
- Aged MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
BACKGROUND: The actions required to achieve higher-quality and harmonised global surveillance of child and adolescent movement behaviours (physical activity, sedentary behaviour including screen time, sleep) are unclear. OBJECTIVE: To identify how to improve surveillance of movement behaviours, from the perspective of experts. METHODS: This Delphi Study involved 62 experts from the SUNRISE International Study of Movement Behaviours in the Early Years and Active Healthy Kids Global Alliance (AHKGA). Two survey rounds were used, with items categorised under: (1) funding, (2) capacity building, (3) methods, and (4) other issues (e.g., policymaker awareness of relevant WHO Guidelines and Strategies). Expert participants ranked 40 items on a five-point Likert scale from 'extremely' to 'not at all' important. Consensus was defined as > 70% rating of 'extremely' or 'very' important. RESULTS: We received 62 responses to round 1 of the survey and 59 to round 2. There was consensus for most items. The two highest rated round 2 items in each category were the following; for funding (1) it was greater funding for surveillance and public funding of surveillance; for capacity building (2) it was increased human capacity for surveillance (e.g. knowledge, skills) and regional or global partnerships to support national surveillance; for methods (3) it was standard protocols for surveillance measures and improved measurement method for screen time; and for other issues (4) it was greater awareness of physical activity guidelines and strategies from WHO and greater awareness of the importance of surveillance for NCD prevention. We generally found no significant differences in priorities between low-middle-income (n = 29) and high-income countries (n = 30) or between SUNRISE (n = 20), AHKGA (n = 26) or both (n = 13) initiatives. There was a lack of agreement on using private funding for surveillance or surveillance research. CONCLUSIONS: This study provides a prioritised and international consensus list of actions required to improve surveillance of movement behaviours in children and adolescents globally.
- MeSH
- Capacity Building MeSH
- Screen Time * MeSH
- Global Health MeSH
- Exercise * MeSH
- Delphi Technique * MeSH
- Child MeSH
- Consensus MeSH
- Humans MeSH
- Adolescent MeSH
- Sedentary Behavior * MeSH
- Sleep MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
Neural networks are responsible for processing sensory stimuli and driving the synaptic activity required for brain function and behavior. This computational capacity is expensive and requires a steady supply of energy and building blocks to operate. Importantly, the neural networks are composed of different cell populations, whose metabolic profiles differ between each other, thus endowing them with different metabolic capacities, such as, for example, the ability to synthesize specific metabolic precursors or variable proficiency to manage their metabolic waste. These marked differences likely prompted the emergence of diverse intercellular metabolic interactions, in which the shuttling and cycling of specific metabolites between brain cells allows the separation of workload and efficient control of energy demand and supply within the central nervous system. Nevertheless, our knowledge about brain bioenergetics and the specific metabolic adaptations of neural cells still warrants further studies. In this review, originated from the Fourth International Society for Neurochemistry (ISN) and Journal of Neurochemistry (JNC) Flagship School held in Schmerlenbach, Germany (2022), we describe and discuss the specific metabolic profiles of brain cells, the intercellular metabolic exchanges between these cells, and how these bioenergetic activities shape synaptic function and behavior. Furthermore, we discuss the potential role of faulty brain metabolic activity in the etiology and progression of Alzheimer's disease, Parkinson disease, and Amyotrophic lateral sclerosis. We foresee that a deeper understanding of neural networks metabolism will provide crucial insights into how higher-order brain functions emerge and reveal the roots of neuropathological conditions whose hallmarks include impaired brain metabolic function.
- MeSH
- Energy Metabolism * physiology MeSH
- Humans MeSH
- Metabolic Networks and Pathways * physiology MeSH
- Brain * metabolism MeSH
- Nerve Net * metabolism MeSH
- Neurons * metabolism MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Review MeSH