We present a case of a second-born breastfed infant presenting with zinc deficiency whose mother was found to have a novel heterozygous mutation in SLC30A2. A previous baby did not have manifestations of zinc deficiency but the mother had taken a proton pump inhibitor during the second pregnancy.

Title: Some OPA once told me “LKB1 is going to rule me”: the OPA1-LKB1 axis in immune responseAuthors: Contreras N1,2*, Macías-Camero A1,2*, Delgado-Dolset MI1,2.Affiliations: 1Centre for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Madrid, Spain.2Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA-NM), Departamento de Ciencias Médicas Básicas, Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Madrid, Spain.*These authors contributed equallyCorrespondence to: María Isabel Delgado-Dolset , Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA-NM), Departamento de Ciencias Médicas Básicas, Facultad de Medicina, Universidad San Pablo CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Madrid, Spain.Campus Montepríncipe. Crtra. Boadilla del Monte km 5.3.CP 28668 Boadilla del Monte. Madrid, Spain.Tlf: +34 91 372 47 00 ext. 15068E-mail: [email protected] of interest: The authors have no conflicts of interest to declare.Funding information: The authors received no specific funding for the elaboration of this article.Authorship: All the authors approved the final version of the manuscript as submitted and agreed to be accountable for all aspects of the work.Acknowledgments: The authors acknowledge the support by Instituto de Salud Carlos III (PI18/01467 and PI19/00044), co-funded by FEDER “Investing in your future” for the thematic network and co-operative research centres ARADyAL RD16/0006/0015 and RICORS Red de Enfermedades Inflamatorias (REI) RD21 0002 0008. Authors would also like to recognize the funding by the Ministry of Science and Innovation in Spain (PCI2018-092930), co-funded by the European program ERA HDHL—Nutrition and the Epigenome, project Dietary Intervention in Food Allergy: Microbiome, Epigenetic and Metabolomic interactions (DIFAMEM); and by Fundación Mutua Madrileña (AP177712021). N.C. and A.M.C. are supported by FPI-CEU predoctoral fellowships. The authors would like to thank Dr Domingo Barber, Dr María M Escribese and Dr Alma Villaseñor for their asserted comments.List of abbreviations : 2-HG: 2-HidroxyGlutarate, α-KG: α-KetoGlutarate, CD4: Cluster of Differentiation 4, ETC: Electron Transport Chain, IL17A: InterLeukin 17A, LKB1: Liver-associated Kinase B1, NET: Neutrophil Extracellular Trap, OPA1: Optic Atrophy 1, PHGDH: PHosphoGlycerate DeHydrogenase, Treg: Regulatory T Helper, TH: T HelperIn the last 20 years, increasing evidence has arisen challenging the belief that mitochondria are mere ATP-synthesizing machines, shedding light on their role in cell signaling (1). Metabolites, energy mediators, and physical interactions involving membrane rearrangements are some of the mechanisms involved in mitochondria-driven cell regulation (1). In this sense, energetics plays a role in the development and function of immune cells, and immunometabolism is a flourishing field. Nonetheless, how mitochondria signaling networks, including membrane dynamics, affect T cell development and differentiation remains unclear (2).In a recently published work, Baixauli et al (3) investigated how CD4+ T cell differentiation is influenced by mitochondrial membrane morphology. In vitro analysis showed that elongated mitochondria with tight cristae in TH17 cells correlated with higher levels of the long isoform protein of OPA1 (L-OPA1) when compared to TH1 and TH2 cells. Moreover, they developed an OPA1 knockout mouse model (Opa1Cd4-cre ) which showed that, besides controlling mitochondrial membrane dynamics, OPA1 also regulated IL17A production, suggesting its potential role in the regulation of TH17 cells effector function.To address this matter, a multi-omic approach, including epigenomics, transcriptomics, proteomics, and metabolomics, was applied. They found several changes in the mitochondria due to the lack of OPA1 that could lead to the loss of Il17a expression. First, as a result of a disrupted inner mitochondrial membrane, electron transport chain (ETC) subunits uncouple, leading to an increase in the NADH/NAD+ ratio. Higher levels of NADH, together with an increase in the oxidation of glutamine, promote α-ketoglutarate (α-KG) conversion towards 2-hidroxyglutarate (2-HG) by phosphoglycerate dehydrogenase (PHGDH). 2-HG accumulation increases histone and DNA methylation that lastly alters chromatin accessibility in immune response genes interfering with Il17a expression.Pathway analysis was performed to determine OPA1 intracellular biological mediators, raising LKB1 as its major upstream regulator. While LKB1 activity was increased inOpa1Cd4-cre mice, authors demonstrated thatLkb1 deletion restored cell carbon metabolism and Il17aexpression by reducing the production of PHGDH and other serine biosynthesis enzymes.This article provides a perspective of the OPA1-LKB1 axis and its role in immune regulation in TH17 cells, which grants a deep understanding on how the different types of molecules are intertwined in the disease (4). As for possible limitations, this work was done using solely a mouse model, which, despite being as extraordinary as it is, does not necessarily match the conditions and metabolic changes that take place in human cells (1). It would have been interesting to see some of these experiments being done in T cells from human donors to corroborate these findings, which would be possible by using CRISPR/Cas technology to delete OPA1 and/or LKB1 .Furthermore, it is still necessary to understand how, if at all, OPA1-LKB1 axis regulates other subsets of T cells, such as TH1 or Treg. It is known that LKB1 affects other immune cell types, even within the innate immune response. For example, LKB1 deficiency in mouse dendritic cells results in higher levels of Treg in vivo that promote an immune-suppressed phenotype through mTOR signaling, impairing tumor growth control and protecting against allergic asthma development (5). Moreover, deletion of Lkb1 in mice alveolar macrophages leads to more severe asthma and higher susceptibility to S. aureusinfection through the AMPK pathway (6); and an increased number of neutrophils. Additionally, it has been described that OPA1-dependent ATP production is needed for neutrophil extracellular trap (NET) formation and effective antibacterial defense both in human and mouse neutrophils (7). However, these studies fail to analyze the OPA1-LKB1 relation, which, to our knowledge, has been described for the first time by Baixauli et al. All in all, these authors have uncover the great potential of the OPA-LKB1 axis in the immunometabolism research field.REFERENCES1. Picard M, Shirihai OS. Mitochondrial signal transduction. Cell Metab 2022;34 :1620–1653.2. Shyer JA, Flavell RA, Bailis W. Metabolic signaling in T cells.Cell Res 2020;30 :649–659.3. Baixauli F, Piletic K, Puleston DJ, Villa M, Field CS, Flachsmann LJ et al. An LKB1–mitochondria axis controls TH17 effector function.Nature 2022;610 :555–561.4. Radzikowska U, Baerenfaller K, Cornejo-Garcia JA, Karaaslan C, Barletta E, Sarac BE et al. Omics technologies in allergy and asthma research: An EAACI position paper. Allergy2022;77 :2888–2908.5. Pelgrom LR, Patente TA, Sergushichev A, Esaulova E, Otto F, Ozir-Fazalalikhan A et al. LKB1 expressed in dendritic cells governs the development and expansion of thymus-derived regulatory T cells.Cell Res 2019;29 :406–419.6. Wang Q, Chen S, Li T, Yang Q, Liu J, Tao Y et al. Critical Role of Lkb1 in the Maintenance of Alveolar Macrophage Self-Renewal and Immune Homeostasis. Front Immunol 2021;12 :1–12.7. Amini P, Stojkov D, Felser A, Jackson CB, Courage C, Schaller A et al. Neutrophil extracellular trap formation requires OPA1-dependent glycolytic ATP production. Nat Commun 2018;9 :2958.

Foraging decisions shape the structure of food webs. Therefore, a behavioral shift in a single species can potentially modify resource-flow dynamics of entire ecosystems. To examine this, we conducted a field experiment to assess foraging niche dynamics of semi-arboreal brown anole lizards in the presence/absence of predatory ground-dwelling curly tailed lizards in a replicated set of island ecosystems. One year after experimental translocation, brown anoles exposed to these predators had drastically increased perch height and reduced consumption of marine-derived food resources. This foraging niche shift altered marine-to-terrestrial resource-flow dynamics and persisted in the diets of the first-generation offspring. Furthermore, female lizards ¬¬that displayed more risk-taking behaviors consumed more marine prey on islands with predators present. Our results show how predator-driven rapid behavioral shifts can alter food-web connectivity between oceanic and terrestrial ecosystems and underscore the importance of studying behavior-mediated niche shifts to understand ecosystem functioning in rapidly changing environments.

: Proteins are useful chiral selectors. In order to understand the recognition mechanism and the chiral discrimination, binding of the (R)- and (S)-enantiomers of a series of designed amino alcohol inhibitors based on propranolol to cellobiohydrolase Cel7A (Trichoderma reesei) has been studied more closely. X-ray crystal structures were determined of the protein complex with the (R)- and (S)-enantiomers of the strongest binding propranolol analog. The combination of the structural data, thermodynamic data from capillary electrophoresis and microcalorimetry experiments and computational modeling give a clearer insight into the origin of the enantioselectivity and its opposite thermodynamic signature. The new crystal structures were used in computational molecular flexible dockings of the propranolol analogues using the program Glide. The results indicated that several water molecules in the active site were essential for the docking of the (R)-enantiomers, but not for the (S)-enantiomers. The results are discussed in relation to the enantiomeric discrimination of the enzyme. Both dissociation constants (Kd-values) and thermodynamical data are included to show the effects of the structural modifications in the ligand on enthalpy and entropy in relation to the enantioselectivity.

GPR56/ADGRG1 is an adhesion GPCR and mutations on this receptor cause cortical malformation due to the over-migration of neural progenitor cells on the brain surface. At the pial surface, GPR56 interacts with collagen III, induces Rho dependent activation through Gα12/13 and inhibits the neuronal migration. In human glioma cells, GPR56 inhibits cell migration through Gαq/11 dependent Rho pathway. GPR56-tetraspanin complex is known to couple with Gαq/11. GPR56 is an aGPCR that couples with various G proteins and signals through different downstream pathways. In this study, BFPP mutants disrupting GPR56 function but remain to be expressed on plasma membrane were used to study receptor signaling through Gα12, Gα13 and Gα11 with BRET biosensors. GPR56 showed coupling with all three G proteins and activated heterotrimeric G protein signaling upon stimulation with Stachel peptide. However, BFPP mutants showed different signaling defects for each G protein indicative of distinct activation and signaling properties of GPR56 for Gα12, Gα13 or Gα11. β-arrestin recruitment was also investigated following the activation of GPR56 with Stachel peptide using BRET biosensors. N-terminally truncated GPR56 showed enhanced β-arrestin recruitment, however neither wild-type receptor nor BFPP mutants gave any measurable recruitment upon Stachel stimulation, pointing different activation mechanisms for β-arrestin involvement.

Ultrasound-guided protein delivery is promising for site-specific control of cellular functions in the deep interior of the body in a noninvasive manner. Herein, we propose a method for cytosolic protein delivery based on ultrasound-guided intracellular vaporization of perfluorocarbon nano-droplets. The nano-droplets were conjugated with cargo proteins through a bio-reductively cleavable linker and introduced into living cells via antibody-mediated binding to a cell-surface receptor, which gets internalized through endocytosis. After the cells were exposed to ultrasound for endosomal escape of proteins, the ultrasound-responsive cytosolic release of a cargo enzyme was confirmed by visualizing the hydrolysis of the fluorogenic substrate using confocal microscopy. Moreover, a significant decrease in cell viability was achieved via the release of a cytotoxic protein in response to ultrasound treatment. The results of this study provide the proof of a principle that protein-conjugated nano-droplets can be used as carriers in ultrasound-guided cytosolic delivery of proteins.

Here, we report a case of endovascular treatment in which optical frequency domain imaging (OFDI) evaluated the scoring balloon elements shift when three inflations without shaft rotation performed with a scoring balloon.

Takayasu arteritis is a granulomatous inflammation of the aorta and its major branches.Can present as an isolated, atypical,and/or catastrophic disease.The disease has been reported around the world, although it appears to be more prevalent in Asians.We report case of a 29-year-old pregnant lady presented with TA.

Machine learning-based code smell detection has been demonstrated to be a valuable approach for improving software quality and enabling developers to identify problematic patterns in code. However, previous researches have shown that the code smell datasets commonly used to train these models are heavily imbalanced. While some recent studies have explored the use of imbalanced learning techniques for code smell detection, they have only evaluated a limited number of techniques and thus their conclusions about the most effective methods may be biased and inconclusive. To thoroughly evaluate the effect of imbalanced learning techniques on machine learning-based code smell detection, we examine 31 imbalanced learning techniques with seven classifiers to build code smell detection models on four code smell data sets. We employ four evaluation metrics to assess the detection performance with the Wilcoxon signed-rank test and Cliff’s δ. The results show that (1) Not all imbalanced learning techniques significantly improve detection performance, but deep forest significantly outperforms the other techniques on all code smell data sets. (2) SMOTE (Synthetic Minority Over-sampling TEchnique) is not the most effective technique for resampling code smell data sets. (3) The best-performing imbalanced learning techniques and the top-3 data resampling techniques have little time cost for code smell detection. Therefore, we provide some practical guidelines. First, researchers and practitioners should select the appropriate imbalanced learning techniques (e.g., deep forest) to ameliorate the class imbalance problem. In contrast, the blind application of imbalanced learning techniques could be harmful. Then, better data resampling techniques than SMOTE should be selected to preprocess the code smell data sets.

During the Late Pleistocene, major parts of North America were periodically covered by ice sheets. However, there are still open questions about whether ice-free refugia were present in the Alexander Archipelago along the Southeast (SE) Alaska coast during the Last Glacial Maximum (LGM). Numerous subfossils have been recovered from caves in SE Alaska, including American black (Ursus americanus) and brown (U. arctos) bears, which today are found in the Alexander Archipelago but are genetically distinct from mainland bear populations. Hence, these bear species offer an ideal system to investigate long-term occupation, potential refugial survival, and lineage turnover. Here we present genetic analyses based on 99 new complete mitochondrial genomes from ancient and modern brown and black bears spanning the last ~45,000 years. Black bears form two SE Alaskan subclades that diverged >100,00 years ago, one preglacial and one postglacial. All postglacial ancient brown bears are closely related to modern bears in the archipelago, while a single preglacial brown bear is found in a distantly related clade. A hiatus in the bear subfossil record around the LGM and the deep split of their pre- and post-glacial subclades fail to support a hypothesis of continuous occupancy in SE Alaska throughout the LGM for either species. Our results are consistent with an absence of refugia along the SE Alaska coast, but indicate that vegetation quickly expanded after deglaciation, allowing bears to recolonize the area after a short-lived LGM peak.

Aim Dual antiplatelet therapy (DAPT) after percutaneous coronary intervention (PCI) remains the standard of care. CYP2C19 genetic polymorphisms results in variable Clopidogrel bioactivation. Increased function (CYP2C19*17) allele carriers (rapid metabolizers (RM) or ultrarapid metabolizers (UM)), are Clopidogrel hyper-responders and hence more susceptible to Clopidogrel related bleeding. Since current guidelines recommend against routine genotyping following PCI, data on the clinical utility of CYP2C19*17 genotype guided strategy are sparce. Our study provides real-world data on the 12-month follow-up of CYP2C19 genotyping in patients post-PCI. Methods This is a cohort study within an Irish population receiving 12 months of DAPT following PCI for ACS or CCS. It identifies the prevalence of CYP2C19 polymorphisms within an Irish population and describe the ischaemic and bleeding outcomes after 12 months of Clopidogrel DAPT. Results 129 patients were included with the following CYP2C19 polymorphism prevalence: 30.2% hyper-responders (26.4% RM (1*/17*), 3.9% UM (17*/17*)) and 28.7% poor-responders (22.5% IM (1*/2*), 3.9% IM (2*/17*), 2.3% PM (2*/2*)). Total bleeding incidence at 12-months increased from poor-responders (0.0%) to normal-responders (15.0%), to hyper-responders (25.0%). Compared to poor-responders, hyper-responders were significantly more likely to experience a bleeding event (25.0% vs 0.0%, P = 0.044). Conclusions The prevalence of CYP2C19 polymorphisms in Ireland is 58.9% (30.2% CYP2C19*17, 28.7% CYP2C19*2) with approximately 1 in 3 chance of being a Clopidogrel hyper-responder. The trend of increasing bleeding with increasing CYP2C19 activity, suggests a genotype guided strategy may have clinical utility identifying high-bleeding-risk with Clopidogrel in CYP2C19*17 carriers but further studies are required.

NLR family pyrin domain containing 2 (NLRP2) is a novel member of the Nod-like receptor (NLR) family. However, our understanding of NLRP2 has long been ambiguous. NLRP2 may have a role in the innate immune response, but its specific  functions remain controversial. Although NLRP2 can initiate inflammasome and promote inflammation, it can also downregulate inflammatory signals. Additionally, NLRP2 has been reported to function in the reproductive system and shows high expression in the placenta. However, the exact role of NLRP2 in the reproductive system is unclear. Here, we highlight the most current progress on NLRP2 in inflammasome activation, effector function, and regulation of nuclear factor-κB. And we discuss functions of NLRP2 in inflammatory diseases, reproductive disorders, and the potential implication of NLRP2 in human diseases.

Quantifying spatiotemporally explicit interactions within animal populations facilitates the understanding of social structure and its relationship with ecological processes. Data from animal tracking technologies (Global Positioning Systems [“GPS”]) can circumvent longstanding challenges in the estimation of spatiotemporally explicit interactions, but the discrete nature and coarse temporal resolution of data mean that ephemeral interactions that occur between consecutive GPS locations go undetected. Here, we developed a method to quantify individual and spatial patterns of interaction using continuous-time movement models (CTMMs) fit to GPS tracking data. We first applied CTMMs to infer the full movement trajectories at an arbitrarily fine temporal scale before estimating interactions, thus allowing inference of interactions occurring between observed GPS locations. Our framework then infers indirect interactions – individuals occurring at the same location, but at different times– while allowing the identification of indirect interactions to vary with ecological context based on CTMM outputs. We assessed the performance of our new method using simulations and illustrated its implementation by deriving disease-relevant interaction networks for two behaviorally differentiated species, wild pigs (Sus scrofa) that can host African Swine Fever and mule deer (Odocoileus hemionus) that can host Chronic Wasting Disease. Simulations showed that interactions derived from observed GPS data can be substantially underestimated when temporal resolution of movement data exceeds 30-minute intervals. Empirical application suggested that underestimation occurred in both interaction rates and their spatial distributions. CTMM-Interaction method, which can introduce uncertainties, recovered the majority of true interactions. Our method leverages advances in movement ecology to quantify fine-scale spatiotemporal interactions between individuals from lower temporal resolution GPS data. It can be leveraged to infer dynamic social networks, transmission potential in disease systems, consumer-resource interactions, information sharing, and beyond. The method also sets the stage for future predictive models linking observed spatiotemporal interaction patterns to environmental drivers.

1. Researchers generally ascribe demographic drivers in a single or few sub-populations and presume they are representative. With this information, practitioners implement blanket conservation measures across metapopulations to reverse declines. However, such approaches may not be appropriate in circumstances where sub-populations are spatiotemporally segregated and exposed to different environmental variation. 2. The Greenland White-fronted Goose Anser albifrons flavirostris is an Arctic-nesting migrant that largely comprises two sub-populations (delineated by northerly and southerly breeding areas in west Greenland). The metapopulation has declined since 1999 but this trend is only mirrored in one sub-population and the causes of this disparity are unclear. Here we compare the drivers and trends of productivity in both sub-populations using population- and individual-level analysis. 3. We examined how temperature and precipitation influenced population-level reproductive success and whether there was a change in the relationship when metapopulation decline commenced. In addition we used biologging devices to reconstruct incubation events and modelled how phenology and environmental conditions influenced individual-level nest survival. 4. Correlations between reproductive success and temperature/precipitation on the breeding grounds have weakened for both sub-populations. This has resulted in lower reproductive success for the northerly, but not southerly breeding sub-population, which at the individual-level appears to be driven by lower in nest survival. Earlier breeding ground arrival and less precipitation during incubation increased nest survival in the northerly breeding population, while no factors examined were important for the southerly breeding sub-population. This suggests reproductive success is now driven by different factor(s) in the two sub-populations. 5. Demographic rates and their environmental drivers differ between the sub-populations examined here and consequently we encourage further decomposition of demography within metapopulations. This is important for conservation practitioners to consider as bespoke conservation strategies, targeting different limiting factors, may be required for different sub-population.

Presentation of High Altitude Pulmonary Edema (HAPE) in accordance with its usual natural history is a diagnostic clue. In resource-limited settings, distinguishing HAPE from other respiratory illnesses is challenging; especially when the presentation deviates from the natural history. Here we have discussed those three rare presentations of HAPE at 4371m.

Disseminated adenovirus infections in patients who received chemotherapy alone for lymphoma are extremely rare, however, should be included in differential diagnosis for those who received T cell suppressive agents. We report a fatal case of disseminated adenovirus disease in a patient who had received chemotherapy and presented with hypoxia

Mitochondrial neurogastrointestinal encephalomyopathy (MNGIE) is a rare autosomal recessive disorder due to mutations in the TYMP gene. Clinical findings are characterized by neurologic manifestations and severe gastrointestinal dysfunction. The syndrome is usually fatal, the most effective treatment appears to be hematopoietic stem cell transplantation (HSCT). Aim:In this retrospective study, we evaluated HSCT that was performed using a reduced toxicicity myeloablative conditioning regimen in patients with MNGIE at our center. Results: A total of 6 allogeneic transplant procedures were performed in 4 patients. Three patients’ donors had fully matched donors, and one patients’ donor was haploidentical. Treosulfan-based myeloablative conditioning regimen was applied in 5 of 6 transplants. Bone marrow was used as a stem cell source. One patient is being followed up in the 4th year of posttransplant with full chimeric and without Graft versus host disease (GVHD). One patient died of acute stage IV GIS GVHD. Two patients underwent second transplantation due to engraftment failure, one of which was the patient who had a haploidentical transplant. Conclusions: Treosulfan-based regimen is well tolerated. Engraftment failure with this conditioning regimen can be a significant problem. We share our haploidentical transplant experience, which will be the first reported case in the literature.

:30.0 The development of machine learning technologies are broadly changing how humans interact with their environments across all sectors. In industrial settings, this is referred to as the fourth industrial revolution, Industry 4.0, and encompasses several technologies that are pushing the boundaries of industrial automation. In this study, a general industrial process optimization (GIPO) methodology is formulated in the context of Industry 4.0 and tested on an industrial Injection Molding Machine (IMM). GIPO aims to encourage the practical inclusion of industrial artificial intelligence at all levels of the manufacturing process while enabling industrial equipment to adapt to a changing processing environment. Special attention is given to the generality of the methodology so that it can be extended to other applications. In the example case study presented here, GIPO combines nearest neighbors classification and nearest neighbors optimization methods to effectively optimize an Injection molding process. Practical implementation conducted on the IMM demonstrates a novel methodology to leverage data mining and machine learning methods in a real-world setting to improve the overall performance regarding production time, energy cost, and production quality.