[Determination of 4-methyl-2-pentanol in workplace air by solvent desorption-gas chromatography].

Objective: To establish a method for the determination of 4-methyl-2-pentanol in the air of workplace by gas chromatography. Methods: In January 2022, 4-methyl-2-pentanol in the air of workplace was collected by activated carbontube, eluted with dichloromethane-methanol (95∶5, V/V), separated by capillary column and determined by gas chromatogram. Results: The limit of detection for 4-methyl-2-pentanol was 0.04 µg/ml. The linear range of 4-methyl-2-pentanol was 0.16-1616.60 µg/ml, with the regression equation of y=1.94x-5.48, and the coefficient correlation was 0.99958, and the minimum detection concentration was 0.03 mg/m(3) (collected sample volume was 1.50 L). The within-run precisions were 1.08%-1.75% and the between-run precisions were 1.41%-2.52%. The desorption rates were 95.15%-99.91%. The samples could be stored at least 3 days at room temperature and 7 days at 4 ℃ without significant loss. Conclusion: The method has the advantages of good precision, high sensitivity and simple operation. It is suitable for the determination of 4-methyl-2-pentanol in the air of workplace.

[Deferoxamine promotes recovery of bone marrow hematopoietic function in mice exposed to a sublethal dose of X-ray irradiation].

OBJECTIVE: To evaluate the effect of deferoxamine (DFO) on bone marrow hematopoietic function in C57 mice exposed to a sublethal dose of X-ray irradiation. METHODS: C57 mice exposed to a sublethal dose (5.4 Gy, 1.0 Gy/min) of total body X-ray irradiation (TBI) were treated with subcutaneous injection of 100 mg/kg DFO, with normal saline as the control, on a daily basis for 10 and 20 consecutive days. Body weight changes of the mice were monitored every 3 days. Five mice were selected from each group at 10 and 20 days for examination of blood cell counts, bone marrow nucleated cell counts, percentage of bone marrow CD34+ cells, bone marrow pathology, and expressions of cleaved PARP-1, cleaved caspase-3, VEGF, GPX4, and SLC7A11 in the nucleated cells. RESULTS: The body weight of the mice decreased significantly on day 3 in TBI and DFO groups (P<0.05), and to the lowest on day 6 in TBI group (P<0.01). Blood cell counts and bone marrow nucleated cell counts of the mice were significantly decreased at 10 and 20 days following TBI (P<0.01). On day 10 following TBI, the mice showed significantly decreased nucleated cells and the presence of adipocytes in the bone marrow, where increased expressions of cleaved PARP-1 and cleaved caspase-3 and lowered expressions of GPX4 and SLC7A11 were detected in the nucleated cells (P<0.05). In the mice exposed to TBI, treatment with DFO significantly increased CD34+ cell percentage (P<0.001), decreased the expressions of cleaved PARP-1 and cleaved caspase-3, and increased the expressions of GPX4, SLC7A11 and VEGF in the bone marrow nucleated cells (P<0.05). DFO treatment significantly increased blood cell counts and bone marrow nucleated cells in mice at 20 days following TBI (P<0.05). CONCLUSION: DFO improves bone marrow hematopoiesis in mice with sublethal-dose TBI by inhibiting apoptosis and ferroptosis of bone marrow nucleated cells and promoting VEGF expression and CD34+ cell proliferation.

CELLULAR RNA INTERACTS WITH MAVS TO PROMOTE ANTIVIRAL SIGNALING.

Immune signaling needs to be well-regulated to promote clearance of pathogens, while preventing aberrant inflammation. Interferons (IFNs) and antiviral genes are activated by the detection of viral RNA by RIG-I-like receptors (RLRs). Signal transduction downstream of RLRs proceeds through a multi-protein complex organized around the central adaptor protein MAVS. Recent work has shown that protein complex function can be modulated by RNA molecules providing allosteric regulation or acting as molecular guides or scaffolds. Thus, we hypothesized that RNA plays a role in organizing MAVS signaling platforms. Here, we show that MAVS, through its central intrinsically disordered domain, directly interacts with the 3' untranslated regions of cellular mRNAs. Importantly, elimination of RNA by RNase treatment disrupts the MAVS signalosome, including newly identified regulators of RLR signaling, and inhibits phosphorylation of the transcription factor IRF3. This supports the hypothesis that RNA molecules scaffold proteins in the MAVS signalosome to induce IFNs. Together, this work uncovers a function for cellular RNA in promoting signaling through MAVS and highlights a generalizable principle of RNA regulatory control of cytoplasmic immune signaling complexes.

Comparing Catastrophic Costs: Active vs. Passive Tuberculosis Case Finding in Urban Vietnam.

Active case finding (ACF) is a strategy that aims to identify people with tuberculosis (TB) earlier in their disease. This outreach approach may lead to a reduction in catastrophic cost incurrence (costs exceeding 20% of annual household income), a main target of WHO's End TB Strategy. Our study assessed the socio-economic impact of ACF by comparing patient costs in actively and passively detected people with TB. Longitudinal patient cost surveys were prospectively fielded for people with drug-sensitive pulmonary TB, with 105 detected through ACF and 107 passively detected. Data were collected in four Vietnamese cities between October 2020 and March 2022. ACF reduced pre-treatment (USD 10 vs. 101, p < 0.001) and treatment costs (USD 888 vs. 1213, p < 0.001) in TB-affected individuals. Furthermore, it reduced the occurrence of job loss (15.2% vs. 35.5%, p = 0.001) and use of coping strategies (28.6% vs. 45.7%, p = 0.004). However, catastrophic cost incurrence was high at 52.8% and did not differ between cohorts. ACF did not significantly decrease indirect costs, the largest contributor to catastrophic costs. ACF reduces costs but cannot sufficiently reduce the risk of catastrophic costs. As income loss is the largest driver of costs during TB treatment, social protection schemes need to be expanded.

[Definition of severe pulmonary tuberculosis: a scoping review].

Objective: To clarify the definition of severe pulmonary tuberculosis and its inclusion criteria by summarizing and analyzing the studies of severe pulmonary tuberculosis (TB). Methods: A systematic search of Medline (via PubMed), Cochrane Library, Web of Science, Web of Science, Epistemonikos, Embase, CNKI, WanFang database, and CBM database was conducted to collect studies published between 2017 and 2022 on patients with severe pulmonary TB. Searches were performed using a combination of subject terms and free words. The search terms included: tuberculosis, severe, serious, intensive care, critical care, respiratory failure, mechanical ventilation, hospitalization, respiratory distress syndrome, multiple organ failure, pulmonary heart disease, and pneumothorax. The definitions and inclusion criteria for severe pulmonary TB in the included studies were extracted. Results: A total of 19 981 studies were identified and 100 studies were finally included, involving 8 309 patients with severe pulmonary TB. A total of 8 (8.00%) studies explicitly mentioned the definition of severe pulmonary TB, and 53 (53.00%) studies clearly defined the inclusion criteria for patients with severe pulmonary TB. A total of 5 definitions and 30 inclusion criteria were extracted. A total of 132 dichotomous variables and 113 continuous variables were included in the outcome indicators related to patients with severe pulmonary TB of concern in the studies. Conclusions: The definition and diagnostic criteria for severe TB are unclear, and there is an urgent need to develop a clear definition and diagnostic criteria to guide clinical practice.

Distinguishing Oligosaccharide Isomers Using Far-Infrared Ion Spectroscopy: Identification of Biomarkers for Inborn Errors of Metabolism.

Distinguishing isomeric saccharides poses a major challenge for analytical workflows based on (liquid chromatography) mass spectrometry (LC-MS). In recent years, many studies have proposed infrared ion spectroscopy as a possible solution as the orthogonal, spectroscopic characterization of mass-selected ions can often distinguish isomeric species that remain unresolved using conventional MS. However, the high conformational flexibility and extensive hydrogen bonding in saccharides cause their room-temperature fingerprint infrared spectra to have broad features that often lack diagnostic value. Here, we show that room-temperature infrared spectra of ion-complexed saccharides recorded in the previously unexplored far-infrared wavelength range (300-1000 cm-1) provide well-resolved and highly diagnostic features. We show that this enables distinction of isomeric saccharides that differ either by their composition of monosaccharide units and/or the orientation of their glycosidic linkages. We demonstrate the utility of this approach from single monosaccharides up to isomeric tetrasaccharides differing only by the configuration of a single glycosidic linkage. Furthermore, through hyphenation with hydrophilic interaction liquid chromatography, we identify oligosaccharide biomarkers in patient body fluid samples, demonstrating a generalized and highly sensitive MS-based method for the identification of saccharides found in complex sample matrices.

Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemic.

An impressive number of COVID-19 data catalogs exist. However, none are fully optimized for data science applications. Inconsistent naming and data conventions, uneven quality control, and lack of alignment between disease data and potential predictors pose barriers to robust modeling and analysis. To address this gap, we generated a unified dataset that integrates and implements quality checks of the data from numerous leading sources of COVID-19 epidemiological and environmental data. We use a globally consistent hierarchy of administrative units to facilitate analysis within and across countries. The dataset applies this unified hierarchy to align COVID-19 epidemiological data with a number of other data types relevant to understanding and predicting COVID-19 risk, including hydrometeorological data, air quality, information on COVID-19 control policies, vaccine data, and key demographic characteristics.

Multidimensional Analysis of the Mother-to-child Transmission Risk Factors in Chronic Hepatitis B Virus Infection in Pregnant Women in Vietnam.

Background: Hepatitis B virus (HBV) infection remains a major public health problem. The interaction between HBV and the host inflammatory response is an important factor contributing to liver damage and disease development. We investigate of the correlation between peripheral blood cell levels, HBV DNA, and the risk of transmission to the baby in pregnant women infected with hepatitis B. Methods: A multidimensional analysis was performed on data collected from 60 Vietnamese pregnant women and their babies (cord blood). Results: Taking the risk ratio test results of cord blood HBsAg as a positive probability, the boundary of maternal PBMC concentration is 8.03x106 cells/ml (with negative correlation) and for CBMCs is 6.64x106 cells/ml (with positive correlation). That means that HBsAg positivity in the blood may be related to the increasing of CBMCs and the diminution of maternal PBMCs. When the maternal viral load is higher than 5x107 copies/ml, the risk of being HBsAg-positive in cord blood is 123% (RR=2.23 [1.48,3.36]); when the viral load is lower than this baseline, the risk is decreased by 55% (RR=0.45 [0.30,0.67]) (p<0.001). Conclusions: With several steps of the analysis, this study found maternal peripheral blood cell levels and cord blood positively cor-related in pregnant women with a load lower than 5x107 copies of HBV DNA/ml. The study's results suggest that the role of PBMCs and HBV DNA in vertical infection is essential.

CARD-only proteins regulate in vivo inflammasome responses and ameliorate gout.

Inflammatory responses are crucial for controlling infections and initiating tissue repair. However, excessive and uncontrolled inflammation causes inflammatory disease. Processing and release of the pro-inflammatory cytokines interleukin-1ß (IL-1ß) and IL-18 depend on caspase-1 activation within inflammasomes. Assembly of inflammasomes is initiated upon activation of cytosolic pattern recognition receptors (PRRs), followed by sequential polymerization of pyrin domain (PYD)-containing and caspase recruitment domain (CARD)-containing proteins mediated by homotypic PYD and CARD interactions. Small PYD- or CARD-only proteins (POPs and COPs, respectively) evolved in higher primates to target these crucial interactions to limit inflammation. Here, we show the ability of COPs to regulate inflammasome activation by modulating homotypic CARD-CARD interactions in vitro and in vivo. CARD16, CARD17, and CARD18 displace crucial CARD interactions between caspase-1 proteins through competitive binding and ameliorate uric acid crystal-mediated NLRP3 inflammasome activation and inflammatory disease. COPs therefore represent an important family of inflammasome regulators and ameliorate inflammatory disease.

Spatiotemporal variation in risk of Shigella infection in childhood: a global risk mapping and prediction model using individual participant data.

BACKGROUND: Diarrhoeal disease is a leading cause of childhood illness and death globally, and Shigella is a major aetiological contributor for which a vaccine might soon be available. The primary objective of this study was to model the spatiotemporal variation in paediatric Shigella infection and map its predicted prevalence across low-income and middle-income countries (LMICs). METHODS: Individual participant data for Shigella positivity in stool samples were sourced from multiple LMIC-based studies of children aged 59 months or younger. Covariates included household-level and participant-level factors ascertained by study investigators and environmental and hydrometeorological variables extracted from various data products at georeferenced child locations. Multivariate models were fitted and prevalence predictions obtained by syndrome and age stratum. FINDINGS: 20 studies from 23 countries (including locations in Central America and South America, sub-Saharan Africa, and south and southeast Asia) contributed 66 563 sample results. Age, symptom status, and study design contributed most to model performance followed by temperature, wind speed, relative humidity, and soil moisture. Probability of Shigella infection exceeded 20% when both precipitation and soil moisture were above average and had a 43% peak in uncomplicated diarrhoea cases at 33°C temperatures, above which it decreased. Compared with unimproved sanitation, improved sanitation decreased the odds of Shigella infection by 19% (odds ratio [OR]=0·81 [95% CI 0·76-0·86]) and open defecation decreased them by 18% (OR=0·82 [0·76-0·88]). INTERPRETATION: The distribution of Shigella is more sensitive to climatological factors, such as temperature, than previously recognised. Conditions in much of sub-Saharan Africa are particularly propitious for Shigella transmission, although hotspots also occur in South America and Central America, the Ganges-Brahmaputra Delta, and the island of New Guinea. These findings can inform prioritisation of populations for future vaccine trials and campaigns. FUNDING: NASA, National Institutes of Health-The National Institute of Allergy and Infectious Diseases, and Bill & Melinda Gates Foundation.

Effects of hydrometeorological and other factors on SARS-CoV-2 reproduction number in three contiguous countries of tropical Andean South America: a spatiotemporally disaggregated time series analysis.

Background: The COVID-19 pandemic has caused societal disruption globally, and South America has been hit harder than other lower-income regions. This study modeled the effects of six weather variables on district-level SARS-CoV-2 reproduction numbers (Rt ) in three contiguous countries of tropical Andean South America (Colombia, Ecuador, and Peru), adjusting for environmental, policy, healthcare infrastructural and other factors. Methods: Daily time-series data on SARS-CoV-2 infections were sourced from the health authorities of the three countries at the smallest available administrative level. Rt values were calculated and merged by date and unit ID with variables from a unified COVID-19 dataset and other publicly available sources for May-December, 2020. Generalized additive models were fitted. Findings: Relative humidity and solar radiation were inversely associated with SARS-CoV-2 Rt . Days with radiation above 1000 kJ/m2 saw a 1.3% reduction in Rt , and those with humidity above 50% recorded a 0.9% reduction in Rt . Transmission was highest in densely populated districts, and lowest in districts with poor healthcare access and on days with lowest population mobility. Wind speed, temperature, region, aggregate government policy response, and population age structure had little impact. The fully adjusted model explained 4.3% of Rt variance. Interpretation: Dry atmospheric conditions of low humidity increase district-level SARS-CoV-2 reproduction numbers, while higher levels of solar radiation decrease district-level SARS-CoV-2 reproduction numbers - effects that are comparable in magnitude to population factors like lockdown compliance. Weather monitoring could be incorporated into disease surveillance and early warning systems in conjunction with more established risk indicators and surveillance measures. Funding: NASA's Group on Earth Observations Work Programme (16-GEO16-0047).

Enteropathy Markers in Early Life Were Associated with Adipokine, Apolipoprotein, and Cytokine Profiles Consistent with an Adverse Cardiometabolic Disease Risk Profile Later in Childhood in a Peruvian Birth Cohort.

Metabolic syndrome is a cluster of risk factors for cardiovascular disease afflicting more than 1 billion people worldwide and is increasingly being identified in younger age groups and in socioeconomically disadvantaged settings in the global south. Enteropathogen exposure and environmental enteropathy in infancy may contribute to metabolic syndrome by disrupting the metabolic profile in a way that is detectable in cardiometabolic markers later in childhood. A total of 217 subjects previously enrolled in a birth cohort in Amazonian Peru were monitored annually from ages 2 to 5 years. A total of 197 blood samples collected in later childhood were analyzed for 37 cardiometabolic biomarkers, including adipokines, apolipoproteins, cytokines, which were matched to extant early-life markers of enteropathy ascertained between birth and 2 years. Multivariate and multivariable regression models were fitted to test for associations, adjusting for confounders. Fecal and urinary markers of intestinal permeability and inflammation (myeloperoxidase, lactulose, and mannitol) measured in infancy were associated with later serum concentrations of soluble CD40-ligand, a proinflammatory cytokine correlated with adverse metabolic outcomes. Fecal myeloperoxidase was also associated with later levels of omentin-1. Enteric protozoa exposure showed stronger associations with later cardiometabolic markers than viruses, bacteria, and overall diarrheal episodes. Early-life enteropathy markers were associated with altered adipokine, apolipoprotein, and cytokine profiles later in childhood consistent with an adverse cardiometabolic disease risk profile in this cohort. Markers of intestinal permeability and inflammation measured in urine (lactulose, mannitol) and stool (myeloperoxidase, protozoal infections) during infancy may predict metabolic syndrome in adulthood.

Chimpanzee and pig-tailed macaque iPSCs: Improved culture and generation of primate cross-species embryos.

As our closest living relatives, non-human primates uniquely enable explorations of human health, disease, development, and evolution. Considerable effort has thus been devoted to generating induced pluripotent stem cells (iPSCs) from multiple non-human primate species. Here, we establish improved culture methods for chimpanzee (Pan troglodytes) and pig-tailed macaque (Macaca nemestrina) iPSCs. Such iPSCs spontaneously differentiate in conventional culture conditions, but can be readily propagated by inhibiting endogenous WNT signaling. As a unique functional test of these iPSCs, we injected them into the pre-implantation embryos of another non-human species, rhesus macaques (Macaca mulatta). Ectopic expression of gene BCL2 enhances the survival and proliferation of chimpanzee and pig-tailed macaque iPSCs within the pre-implantation embryo, although the identity and long-term contribution of the transplanted cells warrants further investigation. In summary, we disclose transcriptomic and proteomic data, cell lines, and cell culture resources that may be broadly enabling for non-human primate iPSCs research.

ADAR1 mutation causes ZBP1-dependent immunopathology.

The RNA-editing enzyme ADAR1 is essential for the suppression of innate immune activation and pathology caused by aberrant recognition of self-RNA, a role it carries out by disrupting the duplex structure of endogenous double-stranded RNA species1,2. A point mutation in the sequence encoding the Z-DNA-binding domain (ZBD) of ADAR1 is associated with severe autoinflammatory disease3-5. ZBP1 is the only other ZBD-containing mammalian protein6, and its activation can trigger both cell death and transcriptional responses through the kinases RIPK1 and RIPK3, and the protease caspase 8 (refs. 7-9). Here we show that the pathology caused by alteration of the ZBD of ADAR1 is driven by activation of ZBP1. We found that ablation of ZBP1 fully rescued the overt pathology caused by ADAR1 alteration, without fully reversing the underlying inflammatory program caused by this alteration. Whereas loss of RIPK3 partially phenocopied the protective effects of ZBP1 ablation, combined deletion of caspase 8 and RIPK3, or of caspase 8 and MLKL, unexpectedly exacerbated the pathogenic effects of ADAR1 alteration. These findings indicate that ADAR1 is a negative regulator of sterile ZBP1 activation, and that ZBP1-dependent signalling underlies the autoinflammatory pathology caused by alteration of ADAR1.

[A follow-up study on the introduction of vegetables and fruits during infants aged 4-8 months in Beijing and Chenzhou City of Hunan Province].

OBJECTIVE: To investigate the introduction of vegetables and fruits in 4-8 months old infants, and to describe the maternal and infants' characteristics associated with the introduction of vegetables and fruits. METHODS: Mother-infant dyads (n=228) were recruited from 12 to 16 weeks postpartum and formally entered the study at 4 months of age. Data collected via face to face interview at 4-8 months postpartum, including the timing and types of added vegetables and fruits, as well as a variety of maternal and infant characteristics (n=204). Rank sum test and multiple linear regression were used to analyze the maternal and infant characteristics related to the introduction of vegetables and fruits. RESULTS: The time of introducing vegetables was concentrated at the age of 7 months, and the time of adding fruits was mainly at 6 months. Fruits were added earlier than vegetables (P < 0.001), and the variety of the added fruits was higher than that of vegetables (P=0.045). 48% (n=98) of infants had no more than three types of fruits and vegetables at 8 months. Only 9.8% (n=20) had added more than 10 kinds of fruits and vegetables at 8 months. Green leafy vegetables were the most commonly added vegetable, and apple was the most popular fruit. Compared with women who were 35 years of age or younger, women beyond 35 years old introduced vegetables to their babies 0.6 months later. 4-month-old exclusively breastfed infants had vegetables 0.4 months later than mixed-fed infants. Women with a bachelor's degree or above added 2-3 more types of fruits and vegetables to their babies than those with junior high school education and below. CONCLUSION: The adding time of fruits was earlier than that of vegetable. Apples and green leafy vegetables are commonly added. Women with lower educational backgrounds add fewer types of fruits and vegetables to their babies. Mothers who choose exclusive breastfeeding and those over 35 years of age at childbirth add vegetables to their babies later than others. They should be targeted for health promotion programs that aim to improve the intake of fruits and vegetables among infants.

Effects of hydrometeorological and other factors on SARS-CoV-2 reproduction number in three contiguous countries of Tropical Andean South America: a spatiotemporally disaggregated time series analysis.

BackgroundThe COVID-19 pandemic has caused societal disruption globally and South America has been hit harder than other lower-income regions. This study modeled effects of 6 weather variables on district-level SARS-CoV-2 reproduction numbers (Rt) in three contiguous countries of Tropical Andean South America (Colombia, Ecuador, and Peru), adjusting for environmental, policy, healthcare infrastructural and other factors. MethodsDaily time-series data on SARS-CoV-2 infections were sourced from health authorities of the three countries at the smallest available administrative level. Rt values were calculated and merged by date and unit ID with variables from a Unified COVID-19 dataset and other publicly available sources for May - December 2020. Generalized additive mixed effects models were fitted. FindingsRelative humidity and solar radiation were inversely associated with SARS-CoV-2 Rt. Days with radiation above 1,000 KJ/m2 saw a 1.3%, and those with humidity above 50%, a 1.0% reduction in Rt. Transmission was highest in densely populated districts, and lowest in districts with poor healthcare access and on days with least population mobility. Temperature, region, aggregate government policy response and population age structure had little impact. The fully adjusted model explained 3.9% of Rt variance. InterpretationDry atmospheric conditions of low humidity increase, and higher solar radiation decrease district-level SARS-CoV-2 reproduction numbers, effects that are comparable in magnitude to population factors like lockdown compliance. Weather monitoring could be incorporated into disease surveillance and early warning systems in conjunction with more established risk indicators and surveillance measures. FundingNASAs Group on Earth Observations Work Programme (16-GEO16-0047).

NLRP3 licenses NLRP11 for inflammasome activation in human macrophages.

Intracellular sensing of stress and danger signals initiates inflammatory innate immune responses by triggering inflammasome assembly, caspase-1 activation and pyroptotic cell death as well as the release of interleukin 1ß (IL-1ß), IL-18 and danger signals. NLRP3 broadly senses infectious patterns and sterile danger signals, resulting in the tightly coordinated and regulated assembly of the NLRP3 inflammasome, but the precise mechanisms are incompletely understood. Here, we identified NLRP11 as an essential component of the NLRP3 inflammasome in human macrophages. NLRP11 interacted with NLRP3 and ASC, and deletion of NLRP11 specifically prevented NLRP3 inflammasome activation by preventing inflammasome assembly, NLRP3 and ASC polymerization, caspase-1 activation, pyroptosis and cytokine release but did not affect other inflammasomes. Restored expression of NLRP11, but not NLRP11 lacking the PYRIN domain (PYD), restored inflammasome activation. NLRP11 was also necessary for inflammasome responses driven by NLRP3 mutations that cause cryopyrin-associated periodic syndrome (CAPS). Because NLRP11 is not expressed in mice, our observations emphasize the specific complexity of inflammasome regulation in humans.

[Analysis on off-label use of drugs in pediatric guidelines and consensus published by Chinese authors].

Objective: To understand the current situation regarding pediatric off-label use of drugs recommendations in Chinese clinical practice guidelines and to make recommendations for standardized reporting format regarding off-label use of drugs for children. Methods: This cross-sectional study was carried out by systematically searching the databases for Chinese guideline consensus articles published in journals between 2018 and 2020 and extracting recommendations regarding off-label use of drugs from those articles. The essential characteristics of the included guidelines, the ranking of off-label drug types, the order of drug information, the type of off-label drug use, and the percentage of citation studies on which the recommendations were based were analyzed. Results: Among 108 studies that included Chinese off-label guidelines and consensus, 364 recommendations on pediatric off-label use of drugs were included. The Chinese Medical Association published the most, 48 out of the 108 studies (44.4%), and of those 14 studies (13.0%) were on infectious and parasitic diseases. Of the 364 recommendations on off-label use of drugs, the most commonly addressed drugs were 16 recommendations (4.4%) for cyclosporine A, 11 recommendations (3.0%) for methotrexate , and 11 recommendations (3.0%) for fentanyl. The most commonly addressed drug categories were as follows: 68 recommendations (18.6%) were immune system drugs, 66 recommendations (18.1%) were anti-infectives, and 56 recommendations (15.4%) were oncology drugs. The most commonly addressed drug information accounts were as follows: 364 recommendations (100.0%) were indications, 204 recommendations (56.0%) were dosages, and 198 recommendations (54.4%) were the route of administration. Based on the instructions approved by the Chinese Food and Drug Administration, the main forms of the off-label drug were as follows: 175 recommendations (48.1%) were unapproved indications, 127 recommendations (34.9%) were unapproved populations, and 72 recommendations (19.8%) were unapproved ages. Only 129 recommendations (35.4%) were cited, mainly including clinical guidelines (48 studies, 23.4%), reviews (22 studies, 10.7%), and pediatric randomized controlled trials (22 studies, 10.7%). Conclusions: Off-label use of drugs is commonly recommended in pediatric guidelines and consensus documents written by Chinese authors. However, the reporting of the recommendations varies widely, and the quality of the supporting evidence is poor.

Transmutation of long-lived fission products in an advanced nuclear energy system.

Disposal of long-lived fission products (LLFPs) produced in reactors has been paid a lot attention for sustainable and clean nuclear energy. Although a few transmutation means have been proposed to address this issue, there are still scientific and/or engineering challenges to achieve efficient transmutation of LLFPs. In this study, we propose a novel concept of advanced nuclear energy system (ANES) for transmuting LLFPs efficiently without isotopic separation. The ANES comprises intense photoneutron source (PNS) and subcritical reactor, which consist of lead-bismuth (Pb-Bi) layer, beryllium (Be) layer, and fuel, LLFPs and shield assemblies. The PNS is produced by bombarding radioactive cesium and iodine target with a laser-Compton scattering (LCS) γ-ray beam. We investigate the effect of the ANES system layout on transmutation efficiency by Monte Carlo simulations. It is found that a proper combination of the Pb-Bi layer and the Be layer can increase the utilization efficiency of the PNS by a factor of ~ 10, which helps to decrease by almost the same factor the LCS γ-beam intensity required for driving the ANES. Supposing that the ANES operates over 20 years at a normal thermal power of 500 MWt, five LLFPs including 99Tc, 129I, 107Pd, 137Cs and 79Se could be transmuted by more than 30%. Their effective half-lives thus decrease drastically from ~ 106 to less than 102 years. It is suggested that this successful implementation of the ANES paves the avenue towards practical transmutation of LLFPs without isotopic separation.