Global gross nitrification rates are dominantly driven by soil carbon-to-nitrogen stoichiometry and total nitrogen

Soil gross nitrification (GN) is a critical process in the global nitrogen (N) cycle that results in the formation of nitrate through microbial oxidation of ammonium or organic N, and can both increase N availability to plants and nitrous oxide emissions. Soil GN is thought to be mainly controlled by soil characteristics and the climate, but a comprehensive analysis taking into account the climate, soil characteristics, including microbial characteristics, and their interactions to better understand the direct and indirect controlling factors of GN rates globally is lacking. Using a global meta-analysis based on 901 observations from 330 ¹⁵ N-labeled studies, we show that GN differs significantly among ecosystem types, with the highest rates found in croplands, in association with higher pH which stimulates nitrifying bacteria activities. Autotrophic and heterotrophic nitrifications contribute 63% and 37%, respectively, to global GN. Soil GN increases significantly with soil total N, microbial biomass, and soil pH, but decreases significantly with soil carbon (C) to N ratio (C:N). Structural equation modeling suggested that GN is mainly controlled by C:N and soil total N. Microbial biomass and pH are also important factors controlling GN and their effects are similar. Precipitation and temperature affect GN by altering C:N and/or soil total N. Soil total N and temperature drive heterotrophic nitrification, whereas C:N and pH drive autotrophic nitrification. Moreover, GN is positively related to nitrous oxide and carbon dioxide emissions. This synthesis suggests that changes in soil C:N, soil total N, microbial population size, and/or soil pH due to anthropogenic activities may influence GN, which will affect nitrate accumulation and gaseous emissions of soils under global climate and land-use changes.

Structural insight into an atomic layer deposition (ALD) grown Al2O3 layer on Ni/SiO2: impact on catalytic activity and stability in dry reforming of methane

The development of stable Ni-based dry reforming of methane (DRM) catalysts is a key challenge owing to the high operating temperatures of the process and the propensity of Ni for promoting carbon deposition. In this work, Al2O3-coated Ni/SiO2 catalysts have been developed by employing atomic layer deposition (ALD). The structure of the catalyst at each individual preparation step was characterized in detail through a combination of in situ XAS-XRD, ex situ 27Al NMR and Raman spectroscopy. Specifically, in the calcination step, the ALD-grown Al2O3 layer reacts with the SiO2 support and Ni, forming aluminosilicate and NiAl2O4. The Al2O3-coated Ni/SiO2 catalyst exhibits an improved stability for DRM when compared to the benchmark Ni/SiO2 and Ni/Al2O3 catalysts. In situ XAS-XRD during DRM together with ex situ Raman spectroscopy and TEM of the spent catalysts confirm that the ALD-grown Al2O3 layer suppresses the sintering of Ni, in turn reducing also coke formation significantly. In addition, the formation of an amorphous aluminosilicate phase by the reaction of the ALD-grown Al2O3 layer with the SiO2 support inhibited catalysts deactivation via NiAl2O4 formation, in contrast to the reference Ni/Al2O3 system. The in-depth structural characterization of the catalysts provided an insight into the structural dynamics of the ALD-grown Al2O3 layer, which reacts both with the support and the active metal, allowing to rationalize the high stability of the catalyst under the harsh DRM conditions.

Dehydrocholesterol Reductase 24 (DHCR24): Medicinal Chemistry, Pharmacology and Novel Therapeutic Options

During the last decade, the understanding of the biological functions of cholesterol biosynthesis intermediates has changed significantly. Particularly, the enzyme sterol dehydrocholesterol reductase 24 (DHCR24) has taken center stage as a potential drug target. Inhibition of DHCR24 leads to accumulation of the endogenous, biologically active metabolite cholesta-5,24-dien-3β-ol (desmosterol). Desmosterol is an endogenous agonist of the liver X receptor (LXR). LXR is a master regulator of lipid metabolism and, as such, is involved in numerous pathophysiological processes such as inflammation, atherosclerosis, cancer, diabetes mellitus (DM), multiple sclerosis (MS), nonalcoholic steatohepatitis (NASH), and the progression of viral infections. Up to now, selective pharmacological targeting of LXR without activating the sterol-response element binding proteins (SREBP) and thereby boosting endogenous lipid biosynthesis has not been achieved. In turn, no selective LXR receptor agonists leveraging its beneficial activation have yet reached the clinic. Therefore, using potent and selective inhibitors of DHCR24 leading to an accumulation of endogenous desmosterol is a promising alternative strategy for the selective activation of LXR. Here we summarize the present landscape of novel lead structures for targeting DHCR24, covering steroidal enzyme inhibitors (e.g., 20,25-diazacholesterol, SH42) as well as non-steroidal scaffolds (e.g., amiodarone, triparanol). Further, we explain the molecular mechanisms of DHCR24 inhibition/LXR activation, discuss possible therapeutic applications, and underpin why DHCR24 is an upcoming promising drug target.

Cyclotron production and radiochemical purification of terbium-155 for SPECT imaging

Background

Terbium-155 [T_1/2 = 5.32 d, Eγ = 87 keV (32%) 105 keV (25%)] is an interesting radionuclide suitable for single photon emission computed tomography (SPECT) imaging with potential application in the diagnosis of oncological disease. It shows similar decay characteristics to the clinically established indium-111 and would be a useful substitute for the diagnosis and prospective dosimetry with biomolecules that are afterwards labeled with therapeutic radiolanthanides and pseudo-radiolanthanides, such as lutetium-177 and yttrium-90. Moreover, terbium-155 could form part of the perfect “matched pair” with the therapeutic radionuclide terbium-161, making the concept of true radiotheragnostics a reality. The aim of this study was the investigation of the production of terbium-155 via the ¹⁵⁵Gd(p,n)¹⁵⁵Tb and ¹⁵⁶Gd(p,2n)¹⁵⁵Tb nuclear reactions and its subsequent purification, in order to obtain a final product in quantity and quality sufficient for preclinical application. The ¹⁵⁶Gd(p,2n)¹⁵⁵Tb nuclear reaction was performed with 72 MeV protons (degraded to ~ 23 MeV), while the ¹⁵⁵Gd(p,n)¹⁵⁵Tb reaction was degraded further to ~ 10 MeV, as well as performed at an 18 MeV medical cyclotron, to demonstrate its feasibility of production.

Result

The ¹⁵⁶Gd(p,2n)¹⁵⁵Tb nuclear reaction demonstrated higher production yields of up to 1.7 GBq, however, lower radionuclidic purity when compared to the final product (~ 200 MBq) of the ¹⁵⁵Gd(p,n)¹⁵⁵Tb nuclear reaction. In particular, other radioisotopes of terbium were produced as side products. The radiochemical purification of terbium-155 from the target material was developed to provide up to 1.0 GBq product in a small volume (~ 1 mL 0.05 M HCl), suitable for radiolabeling purposes. The high chemical purity of terbium-155 was proven by radiolabeling experiments at molar activities up to 100 MBq/nmol. SPECT/CT experiments were performed in tumor-bearing mice using [¹⁵⁵Tb]Tb-DOTATOC.

Conclusion

This study demonstrated two possible production routes for high activities of terbium-155 using a cyclotron, indicating that the radionuclide is more accessible than the exclusive mass-separated method previously demonstrated. The developed radiochemical purification of terbium-155 from the target material yielded [¹⁵⁵Tb]TbCl₃ in high chemical purity. As a result, initial cell uptake investigations, as well as SPECT/CT in vivo studies with [¹⁵⁵Tb]Tb-DOTATOC, were successfully performed, indicating that the chemical separation produced a product with suitable quality for preclinical studies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41181-021-00153-w.

Patterns and drivers of global gross nitrogen mineralization in soils

Soil gross nitrogen (N) mineralization (GNM), a key microbial process in the global N cycle, is mainly controlled by climate and soil properties. This study provides for the first time a comprehensive analysis of the role of soil physicochemical properties and climate and their interactions with soil microbial biomass (MB) in controlling GNM globally. Through a meta-analysis of 970 observations from 337 published papers from various ecosystems, we found that GNM was positively correlated with MB, total carbon, total N and precipitation, and negatively correlated with bulk density (BD) and soil pH. Our multivariate analysis and structural equation modeling revealed that GNM is driven by MB and dominantly influenced by BD and precipitation. The higher total N accelerates GNM via increasing MB. The decrease in BD stimulates GNM via increasing total N and MB, whereas higher precipitation stimulates GNM via increasing total N. Moreover, the GNM varies with ecosystem type, being greater in forests and grasslands with high total carbon and MB contents and low BD and pH compared to croplands. The highest GNM was observed in tropical wet soils that receive high precipitation, which increases the supply of soil substrate (total N) to microbes. Our findings suggest that anthropogenic activities that affect soil microbial population size, BD, soil substrate availability, or soil pH may interact with changes in precipitation regime and land use to influence GNM, which may ultimately affect ecosystem productivity and N loss to the environment.

Climate impacts on global agriculture emerge earlier in new generation of climate and crop models

Potential climate-related impacts on future crop yield are a major societal concern. Previous projections of the Agricultural Model Intercomparison and Improvement Project's Global Gridded Crop Model Intercomparison based on the Coupled Model Intercomparison Project Phase 5 identified substantial climate impacts on all major crops, but associated uncertainties were substantial. Here we report new twenty-first-century projections using ensembles of latest-generation crop and climate models. Results suggest markedly more pessimistic yield responses for maize, soybean and rice compared to the original ensemble. Mean end-of-century maize productivity is shifted from +5% to -6% (SSP126) and from +1% to -24% (SSP585)-explained by warmer climate projections and improved crop model sensitivities. In contrast, wheat shows stronger gains (+9% shifted to +18%, SSP585), linked to higher CO₂ concentrations and expanded high-latitude gains. The 'emergence' of climate impacts consistently occurs earlier in the new projections-before 2040 for several main producing regions. While future yield estimates remain uncertain, these results suggest that major breadbasket regions will face distinct anthropogenic climatic risks sooner than previously anticipated.

Plant Functional Types Differ in Their Long-term Nutrient Response to eCO2 in an Extensive Grassland

Increasing atmospheric CO2 enhances plant biomass production and may thereby change nutrient concentrations in plant tissues. The objective of this study was to identify the effect of elevated atmospheric CO2 concentrations on nutrient concentrations of grassland biomass that have been grown for 16 years (1998–2013). The grassland biomass grown at the extensively managed Giessen FACE experiment, fumigated with ambient and elevated CO2 (aCO2; eCO2; +20%) was harvested twice annually. Concentrations of C, N, P, K, Ca, Mg, Mn, Fe, Cu and Zn were determined separately for grasses, forbs and legumes. Under eCO2, the concentration of N was reduced in grasses, Ca was reduced in grasses and forbs, P was reduced in grasses but increased in legumes, Mg concentration was reduced in grasses, forbs and legumes and K was reduced in grasses but increased in forbs. The nutrient yield (in g nutrient yield of an element per m−2) of most elements indicated negative yield responses at a zero biomass response to eCO2 for grasses. K and Zn nutrient yields responded positively to eCO2 in forbs and Mn and Fe responded positively in forbs and legumes. The results suggest that under eCO2 the nutrient concentrations were not diluted by the CO2 fertilization effect. Rather, altered plant nutrient acquisitions via changed physiological mechanisms prevail for increased C assimilation under eCO2. Furthermore, other factors such as water or nutrient availability affected plant nutrient concentrations under eCO2.

Intergenerational inequities in exposure to climate extremes

[Figure: see text].

[Patient transport and networks for use of extracorporeal life support]

Neue Technologien und die kontinuierliche Weiterentwicklung extrakorporaler Unterstützungssysteme haben das Anwendungsspektrum des Extracorporeal Life Support (ECLS) in den letzten Jahren erweitert. Neben dem Einsatz im kardiogenen Schock oder unter Reanimation nehmen die Anfragen zur Übernahme instabiler Patienten aus peripheren Krankenhäusern zu. Durch organisatorische Herausforderungen wie die Etablierung von Netzwerken und ein strukturiertes Teamtraining aller Beteiligten ergibt sich eine rasche Verfügbarkeit des ECLS-Teams, um schnell beim zu versorgenden Patienten einzutreffen.

High diagnostic yield of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) in the diagnosis of adolescent pulmonary tuberculosis

Background

The microbiological diagnosis of pulmonary tuberculosis (Tb) in a pediatric population is hampered by both low pathogen burden and noncompliance with sputum sampling. Although endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) has been found useful for the evaluation of mediastinal pathologies in adults, for children, sparse data are available. Here, we have evaluated EBUS-TBNA as a diagnostic procedure in children and adolescents with suspected pulmonary Tb.

Methods

In this retrospective analysis, we reviewed the charts of unaccompanied refugee minors (URM) who were admitted between January 2016 and July 2018 and who, during their initial medical screening upon arrival in Germany, were found to have abnormal radiological pulmonary and mediastinal findings and/or immunological results indicative of Tb. For each patient, basic sociodemographic data, clinical features and data on diagnostic procedures performed were assessed. These included imaging, immunodiagnostic tests and microbiological data derived from sputum, bronchoalveolar lavage, EBUS-TBNA, bronchoscopy and pleural fluid sampling. All patients who underwent invasive sampling procedures were included in the study.

Results

Out of 42 URM with suspected Tb, 34 fulfilled the study’s inclusion criteria. Ages ranged from 14 to 17 years. All were of African origin, with 70.0% coming from Somalia, Eritrea and Ethiopia. Among the 21 patients for whom EBUS-TBNA was performed, the diagnostic yield was high: 66.7% positive results (MTb detected either by acid-fast stain, culture or PCR in 4.8, 42.9 and 61.9% of samples, respectively). Multidrug-resistant MTb was found in two patients from Somalia. No complications were associated with the procedure. Overall, pulmonary Tb was diagnosed in 29 patients (85.3%), miliary Tb in two patients (5.9%) and latent Tb in three patients (8.8%).

Conclusions

EBUS-TBNA is a sensitive and safe method with high diagnostic yield in the evaluation of pediatric patients with mediastinal pathology and suspected Tb.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-021-06413-z.

Epithelial-to-mesenchymal transition contributes to the downregulation of progesterone receptor expression in endometriosis lesions

Endometriosis is a common, estrogen-dependent disease, in which endometrial tissue grows in the peritoneal cavity. These lesions often express low levels of progesterone receptors (PR), which potentially play an important role in the insufficient response to progestin treatment. Here, we uncover an interconnection between the downregulated PR expression and the epithelial-to-mesenchymal transition (EMT) in endometriotic lesions. The majority of ectopic epithelial glands (93.1 %, n = 67/72) display heterogeneous states of EMT by immunohistochemistry staining. Interestingly, low PR expression associated with high N-cadherin expression, a hallmark of EMT. In order to gain mechanistic insights, we performed in vitro functional assays with the endometriotic epithelial cell lines EM'osis and 12Z. TGF-β-induced EMT, marked by elevations of CDH2 and SNAI1/2, led to a significant downregulation of PR gene expression in both cell lines. In contrast, silencing of SNAI1 in EM'osis and of SNAI1 plus SNAI2 in 12Z elevated PR gene expression significantly. We found that not only in vitro, but also in the epithelial component of endometriotic lesions strong expression of SNAI1/2 concurred with weak expression of PR. In summary, these results suggested the negative correlation association of the heterogeneous states of EMT and suppressed PR expression in endometriotic lesions. Our functional assays indicate that EMT contributes to the downregulation of PR expression via the upregulation of EMT-TFs, like SNAI1 and SNAI2, which may ultimately lead to progesterone resistance.

Miniaturized multiresidue method for the analysis of pesticides and persistent organic pollutants in non-target wildlife animal liver tissues using GC-MS/MS

In order to gain a better insight into pesticide and pollutant exposure of small (non-target) wildlife animals, a QuEChERS sample preparation method was first developed for 5 g liver tissues (e.g. hedgehog samples) and then downscaled for the analysis of 100 mg liver tissues (e.g. bat samples). The optimized (micro) QuEChERS methods used 1% acetic acid in acetonitrile as organic solvent for liquid-liquid extraction (LLE) and salting out was performed with anhydrous magnesium sulfate and sodium acetate (4:1). After a freezing-out step, sample clean-up was carried out with anhydrous magnesium sulfate, PSA, C₁₈, and GCB (150:25:20:5). Overall, 209 pesticides and persistent organic pollutants (POPs) can be analysed within each sample with gas chromatography coupled to tandem mass spectrometry (GC-MS/MS). Both methods were validated with representative analytes according to the European Commission guideline SANTE/12682/2019. Limits of quantification were between 1 and 20 μg kg^-1, and the methods proved to be linear up to 400 μg kg^-1. Additionally, the analytes delivered satisfactory results regarding recovery and precision. As proof of concept, samples of six hedgehog livers were analysed with both methods to prove the accuracy of the micro QuEChERS method. Additionally, six livers of different bat species were analysed with the downscaled method. The newly developed micro QuEChERS method for multiresidue analysis requires only minute amounts of biomaterial and represents a sophisticated novel technique for determining the exposure of small wildlife animals to different contaminants.

Severe allergic contact dermatitis to two different continuous glucose monitoring devices in a patient with glycogen storage disease type 9b

Continuous glucose monitoring (CGM) systems are of great value for patients with disorders of impaired glucose homeostasis, including glycogen storage diseases. We report on an 8-year-old girl with glycogen storage disease type 9b who developed severe allergic contact dermatitis to two different continuous glucose monitoring systems, FreeStyle^® Libre and Dexcom^® G6. Our case highlights the impact of sensitization for pediatric patients, the urgent need for open labeling of components by pharmaceutical and device manufacturers, and the need for avoidance of skin sensitizers in medical devices.

Seasonality affects function and complexity but not diversity of the rhizosphere microbiome in European temperate grassland

Knowledge on how grassland microbiota responds on gene expression level to winter-summer change of seasons is poor. Here, we used a combination of quantitative PCR-based assays and metatranscriptomics to assess the impact of seasonality on the rhizospheric microbiota in temperate European grassland. Bacteria dominated, being at least one order of magnitude more abundant than fungi. Despite a fivefold summer increase in bacterial community size, season had nearly no effect on microbiome diversity. It, however, had a marked impact on taxon-specific gene expression, with 668 genes significantly differing in relative transcript abundance between winter and summer samples. Acidobacteria, Bacteroidetes, Planctomycetes, and Proteobacteria showed a greater relative gene expression activity in winter, while mRNA of Actinobacteria and Fungi was, relative to other taxa, significantly enriched in summer. On functional level, mRNA involved in protein turnover (e.g., transcription and translation) and cell maintenance (e.g., chaperones that protect against cell freezing damage such as GroEL and Hsp20) were highly enriched in winter. By contrast, mRNA involved in central carbon and amino acid metabolisms had a greater abundance in summer. Among carbohydrate-active enzymes, transcripts of GH36 family (hemicellulases) were highly enriched in winter, while those encoding GH3 family (cellulases) showed increased abundance in summer. The seasonal differences in plant polymer breakdown were linked to a significantly greater microbial network complexity in winter than in summer. Conceptually, the winter-summer change in microbiome functioning can be well explained by a shift from stress-tolerator to high-yield life history strategy.

Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks

Collecting real-world data for the training of neural networks is enormously time-consuming and expensive. As such, the concept of virtualizing the domain and creating synthetic data has been analyzed in many instances. This virtualization offers many possibilities of changing the domain, and with that, enabling the relatively fast creation of data. It also offers the chance to enhance necessary augmentations with additional semantic information when compared with conventional augmentation methods. This raises the question of whether such semantic changes, which can be seen as augmentations of the virtual domain, contribute to better results for neural networks, when trained with data augmented this way. In this paper, a virtual dataset is presented, including semantic augmentations and automatically generated annotations, as well as a comparison between semantic and conventional augmentation for image data. It is determined that the results differ only marginally for neural network models trained with the two augmentation approaches.

Source partitioning using N2O isotopomers and soil WFPS to establish dominant N2O production pathways from different pasture sward compositions

Nitrous oxide (N₂O) is a potent greenhouse gas (GHG) emitted from agricultural soils and is influenced by nitrogen (N) fertiliser management and weather and soil conditions. Source partitioning N₂O emissions related to management practices and soil conditions could suggest effective mitigation strategies. Multispecies swards can maintain herbage yields at reduced N fertiliser rates compared to grass monocultures and may reduce N losses to the wider environment. A restricted-simplex centroid experiment was used to measure daily N₂O fluxes and associated isotopomers from eight experimental plots (7.8 m²) post a urea-N fertiliser application (40 kg N ha^-1). Experimental pastures consisted of differing proportions of grass, legume and forage herb represented by perennial ryegrass (Lolium perenne), white clover (Trifolium repens) and ribwort plantain (Plantago lanceolata), respectively. N₂O isotopomers were measured using a cavity ring down spectroscopy (CRDS) instrument adapted with a small sample isotope module (SSIM) for the analysis of gas samples ≤20 mL. Site preference (SP = δ¹⁵N^α - δ¹⁵N^β) and δ¹⁵N^bulk ((δ¹⁵N^α + δ¹⁵N^β) / 2) values were used to attribute N₂O production to nitrification, denitrification or a mixture of both nitrification and denitrification over a range of soil WFPS (%). Daily N₂O fluxes ranged from 8.26 to 86.86 g N₂O-N ha^-1 d^-1. Overall, 34.2% of daily N₂O fluxes were attributed to nitrification, 29.0% to denitrification and 36.8% to a mixture of both. A significant diversity effect of white clover and ribwort plantain on predicted SP and δ¹⁵N^bulk indicated that the inclusion of ribwort plantain may decrease N₂O emission through biological nitrification inhibition under drier soil conditions (31%-75% WFPS). Likewise, a sharp decline in predicted SP indicates that increased white clover content could increase N₂O emissions associated with denitrification under elevated soil moisture conditions (43%-77% WFPS). Biological nitrification inhibition from ribwort plantain inclusion in grassland swards and management of N fertiliser source and application timing to match soil moisture conditions could be useful N₂O mitigation strategies.

Large potential for crop production adaptation depends on available future varieties

Climate change affects global agricultural production and threatens food security. Faster phenological development of crops due to climate warming is one of the main drivers for potential future yield reductions. To counter the effect of faster maturity, adapted varieties would require more heat units to regain the previous growing period length. In this study, we investigate the effects of variety adaptation on global caloric production under four different future climate change scenarios for maize, rice, soybean, and wheat. Thereby, we empirically identify areas that could require new varieties and areas where variety adaptation could be achieved by shifting existing varieties into new regions. The study uses an ensemble of seven global gridded crop models and five CMIP6 climate models. We found that 39% (SSP5-8.5) of global cropland could require new crop varieties to avoid yield loss from climate change by the end of the century. At low levels of warming (SSP1-2.6), 85% of currently cultivated land can draw from existing varieties to shift within an agro-ecological zone for adaptation. The assumptions on available varieties for adaptation have major impacts on the effectiveness of variety adaptation, which could more than half in SSP5-8.5. The results highlight that region-specific breeding efforts are required to allow for a successful adaptation to climate change.

Design, Synthesis, and Biochemical Evaluation of Alpha-Amanitin Derivatives Containing Analogs of the trans-Hydroxyproline Residue for Potential Use in Antibody-Drug Conjugates

Alpha-amanitin, an extremely toxic bicyclic octapeptide extracted from the death-cap mushroom, Amanita phalloides, is a highly selective allosteric inhibitor of RNA polymerase II. Following on growing interest in using this toxin as a payload in antibody-drug conjugates, herein we report the synthesis and biochemical evaluation of several new derivatives of this toxin to probe the role of the trans-hydroxyproline (Hyp), which is known to be critical for toxicity. This structure activity relationship (SAR) study represents the first of its kind to use various Hyp-analogs to alter the conformational and H-bonding properties of Hyp in amanitin.

Effective sample preparation procedure for the analysis of free neutral steroids, free steroid acids and sterol sulfates in different tissues by GC-MS

Steroids play an important role in cell regulation and homeostasis. Many diseases like Alzheimer's disease or Smith-Lemli-Opitz syndrome are known to be associated with deviations in the steroid profile. Most published methods only allow the analysis of small subgroups of steroids and cannot give an overview of the total steroid profile. We developed and validated a method that allows the analysis of free neutral steroids, including intermediates of cholesterol biosynthesis, free oxysterols, C₁₉ and C₂₁ steroids, free steroid acids, including bile acids, and sterol sulfates using gas chromatography-mass spectrometry. Samples were analyzed in scan mode for screening purposes and in dynamic multiple reaction monitoring mode for highly sensitive quantitative analysis. The method was validated for mouse brain and liver tissue and consists of sample homogenization, lipid extraction, steroid group separation, deconjugation, derivatization and gas chromatography-mass spectrometry analysis. We applied the method on brain and liver samples of mice (10 months and 3 weeks old) and cultured N2a cells and report the endogenous concentrations of 29 physiological steroids.