4.8 Article

Birth mode is associated with earliest strain-conferred gut microbiome functions and immunostimulatory potential

期刊

NATURE COMMUNICATIONS
卷 9, 期 -, 页码 -

出版社

NATURE RESEARCH
DOI: 10.1038/s41467-018-07631-x

关键词

-

资金

  1. Fondation Andre et Henriette Losch
  2. ATTRACT programme - Luxembourg National Research Fund (FNR) [ATTRACT/A09/03]
  3. CORE programme - Luxembourg National Research Fund (FNR) [CORE/15/BM/104040, CORE/C15/SR/10404839, CORE Junior/14/BM/8066232]
  4. Aide a la Formation Recherche grants - Luxembourg National Research Fund (FNR) [AFR PHD-2013-5824125, AFR PHD-2014-1/7934898]
  5. University of Luxembourg (ImMicroDyn1)
  6. Integrated BioBank of Luxembourg under the Personalised Medicine Consortium Diabetes programme

向作者/读者索取更多资源

The rate of caesarean section delivery (CSD) is increasing worldwide. It remains unclear whether disruption of mother-to-neonate transmission of microbiota through CSD occurs and whether it affects human physiology. Here we perform metagenomic analysis of earliest gut microbial community structures and functions. We identify differences in encoded functions between microbiomes of vaginally delivered (VD) and CSD neonates. Several functional pathways are over-represented in VD neonates, including lipopolysaccharide (LPS) biosynthesis. We link these enriched functions to individual-specific strains, which are transmitted from mothers to neonates in case of VD. The stimulation of primary human immune cells with LPS isolated from early stool samples of VD neonates results in higher levels of tumour necrosis factor (TNF-alpha) and interleukin 18 (IL-18). Accordingly, the observed levels of TNF-alpha and IL-18 in neonatal blood plasma are higher after VD. Taken together, our results support that CSD disrupts mother-to-neonate transmission of specific microbial strains, linked functional repertoires and immune-stimulatory potential during a critical window for neonatal immune system priming.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Neurosciences

mGlu3 Metabotropic Glutamate Receptors as a Target for the Treatment of Absence Epilepsy: Preclinical and Human Genetics Data

Roberta Celli, Pasquale Striano, Rita Citraro, Luisa Di Menna, Milena Cannella, Tiziana Imbriglio, Mahmoud Koko, Euro Epinomics-Cogie Euro Epinomics-Cogie Consortium, Giovambattista De Sarro, James A. Monn, Giuseppe Battaglia, Gilles van Luijtelaar, Ferdinando Nicoletti, Emilio Russo, Antonio Leo

Summary: Previous studies suggest that modulation of mGlu3 receptors may be a potential treatment for absence epilepsy. This study found that mGlu3 receptor expression and signaling were decreased in the somatosensory cortex and thalamus of epileptic rats, and selective activation of mGlu3 receptors reduced seizures and depressive-like behavior. However, no association was found between genetic variants of GRM3 and absence epilepsy.

CURRENT NEUROPHARMACOLOGY (2023)

Article Clinical Neurology

Conserved patterns across ion channels correlate with variant pathogenicity and clinical phenotypes

Tobias Brunger, Eduardo Perez-Palma, Ludovica Montanucci, Michael Nothnagel, Rikke S. Moller, Stephanie Schorge, Sameer Zuberi, Joseph Symonds, Johannes R. Lemke, Andreas Brunklaus, Stephen F. Traynelis, Patrick May, Dennis Lal

Summary: This study aimed to systematically identify biological features associated with variant pathogenicity in ion-channel genes and found that these features are correlated with clinical phenotypes and molecular measurements in patients with neurodevelopmental disorders. The results suggest the feasibility of clinical decision support algorithms that can predict variant pathogenicity and function in the future.
Article Clinical Neurology

Delineation of functionally essential protein regions for 242 neurodevelopmental genes

Sumaiya Iqbal, Tobias Bruenger, Eduardo Perez-Palma, Marie Macnee, Andreas Brunklaus, Mark J. Daly, Arthur J. Campbell, David Hoksza, Patrick May, Dennis Lal

Summary: Neurodevelopmental disorders (NDDs) are heterogeneous conditions, and genetic testing can identify pathogenic variants. However, the significance of most identified variants is still uncertain. We developed a consensus approach to identify essential sites on NDD-associated proteins and found that missense variants at these sites are enriched in patients. Our findings provide valuable insights for variant interpretation and drug target development.
Article Clinical Neurology

Embracing Monogenic Parkinson's Disease: The MJFF Global Genetic PD Cohort

Eva-Juliane Vollstedt, Susen Schaake, Katja Lohmann, Shalini Padmanabhan, Alexis Brice, Suzanne Lesage, Christelle Tesson, Marie Vidailhet, Isabel Wurster, Faycel Hentati, Anat Mirelman, Nir Giladi, Karen Marder, Cheryl Waters, Stanley Fahn, Meike Kasten, Norbert Bruggemann, Max Borsche, Tatiana Foroud, Eduardo Tolosa, Alicia Garrido, Grazia Annesi, Monica Gagliardi, Maria Bozi, Leonidas Stefanis, Joaquim J. Ferreira, Leonor Correia Guedes, Micol Avenali, Simona Petrucci, Lorraine Clark, Ekaterina Y. Fedotova, Natalya Y. Abramycheva, Victoria Alvarez, Manuel Menendez-Gonzalez, Silvia Jesus Maestre, Pilar Gomez-Garre, Pablo Mir, Andrea Carmine Belin, Caroline Ran, Chin-Hsien Lin, Ming-Che Kuo, David Crosiers, Zbigniew K. Wszolek, Owen A. Ross, Joseph Jankovic, Kenya Nishioka, Manabu Funayama, Jordi Clarimon, Caroline H. Williams-Gray, Marta Camacho, Mario Cornejo-Olivas, Luis Torres-Ramirez, Yih-Ru Wu, Guey-Jen Lee-Chen, Ana Morgadinho, Teeratorn Pulkes, Pichet Termsarasab, Daniela Berg, Gregor Kuhlenbaumer, Andrea A. Kuhn, Friederike Borngraeber, Giuseppe de Michele, Anna De Rosa, Alexander Zimprich, Andreas Puschmann, George D. Mellick, Jolanta Dorszewska, Jonathan Carr, Rosangela Ferese, Stefano Gambardella, Bruce Chase, Katerina Markopoulou, Wataru Satake, Tatsushi Toda, Malco Rossi, Marcelo Merello, Timothy Lynch, Diana A. Olszewska, Shen-Yang Lim, Azlina Ahmad-Annuar, Ai Huey Tan, Bashayer Al-Mubarak, Hasmet Hanagasi, Dariusz Koziorowski, Sibel Ertan, Gencer Genc, Patricia de Carvalho Aguiar, Melinda Barkhuizen, Marcia M. G. Pimentel, Rachel Saunders-Pullman, Bart van de Warrenburg, Susan Bressman, Mathias Toft, Silke Appel-Cresswell, Anthony E. Lang, Matej Skorvanek, Agnita J. W. Boon, Rejko Kruger, Esther M. Sammler, Vitor Tumas, Bao-Rong Zhang, Gaetan Garraux, Sun Ju Chung, Yun Joong Kim, Juliane Winkelmann, Carolyn M. Sue, Eng-King Tan, Joana Damasio, Peter Klivenyi, Vladimir S. Kostic, David Arkadir, Mika Martikainen, Vanderci Borges, Jens Michael Hertz, Laura Brighina, Mariana Spitz, Oksana Suchowersky, Olaf Riess, Parimal Das, Brit Mollenhauer, Emilia M. Gatto, Maria Skaalum Petersen, Nobutaka Hattori, Ruey-Meei Wu, Sergey N. Illarioshkin, Enza Maria Valente, Jan O. Aasly, Anna Aasly, Roy N. Alcalay, Avner Thaler, Matthew J. Farrer, Kathrin Brockmann, Jean-Christophe Corvol, Christine Klein

Summary: Through a worldwide online survey, we established an international cohort of individuals with PD-linked variants, providing harmonized and quality-controlled clinical and genetic data for each participant and promoting collaboration among researchers in the field of monogenic PD.

MOVEMENT DISORDERS (2023)

Article Fisheries

Identification and genetic characterization of Saprolegnia parasitica, isolated from farmed and wild fish in Finland

Christine Engblom, Lotta Landor, Conny Sjoqvist, Tiina Korkea-aho, Satu Viljamaa-Dirks, Lars Paulin, Tom Wiklund

Summary: Oomycete infections, especially Saprolegnia parasitica, are a significant disease issue in farmed fish in Finland. Molecular epidemiology analysis revealed that the infections mainly originated from one main clone of S. parasitica, rather than different strains in the farm environment. Multi Locus Sequence Typing (MLST) analysis identified four main sequence types (ST1-ST4) and 13 unique sequence types among the isolates.

JOURNAL OF FISH DISEASES (2023)

Editorial Material Endocrinology & Metabolism

From paediatric to adult diabetes care: lost in transition

Carine de Beaufort, Apoorva Gomber, Suzanne Sap, Lori Laffel

LANCET DIABETES & ENDOCRINOLOGY (2023)

Article Medicine, General & Internal

Gene expression signature predicts rate of type 1 diabetes progression

Tomi Suomi, Inna Starskaia, Ubaid Ullah Kalim, Omid Rasool, Maria K. Jaakkola, Toni Gronroos, Tommi Valikangas, Caroline Brorsson, Gianluca Mazzoni, Sylvaine Bruggraber, Lut Overbergh, David Dunger, Mark Peakman, Piotr Chmura, Seren Brunak, Anke M. Schulte, Chantal Mathieu, Mikael Knip, Riitta Lahesmaa, Laura L. Elo

Summary: This study aimed to identify transcriptional changes associated with disease progression in patients with recent-onset type 1 diabetes. They found that genes and pathways related to innate immunity were downregulated during the first year after diagnosis. Associations between gene expression changes and ZnT8A autoantibody positivity were also observed. Additionally, changes in the expression of 16 genes were found to predict the decline in C-peptide at 24 months, and increased B cell levels and decreased neutrophil levels were associated with rapid progression, consistent with previous reports.

EBIOMEDICINE (2023)

Article Cell Biology

Transcriptional and Chromatin Accessibility Profiling of Neural Stem Cells Differentiating into Astrocytes Reveal Dynamic Signatures Affected under Inflammatory Conditions

Maria Angeliki S. Pavlou, Kartikeya Singh, Srikanth Ravichandran, Rashi Halder, Nathalie Nicot, Cindy Birck, Luc Grandbarbe, Antonio del Sol, Alessandro Michelucci

Summary: Astrocytes, derived from neural stem cells (NSCs), are the predominant cell type in the central nervous system (CNS) and play important roles in brain development and function. Inflammation disrupts the normal differentiation process of NSCs into astrocytes, leading to abnormal astrocytic phenotypes. This study investigates the transcriptional and epigenetic changes underlying NSCs' differentiation into astrocytes in the presence of inflammation, and identifies key molecular regulators involved in this process.
Article Health Care Sciences & Services

Prognostic Impact of Pathologic Features in Molecular Subgroups of Endometrial Carcinoma

Martina Ruscelli, Thais Maloberti, Angelo Gianluca Corradini, Francesca Rosini, Giulia Querzoli, Marco Grillini, Annalisa Altimari, Elisa Gruppioni, Viviana Sanza, Alessia Costantino, Riccardo Ciudino, Matteo Errani, Alessia Papapietro, Sara Coluccelli, Daniela Turchetti, Martina Ferioli, Susanna Giunchi, Giulia Dondi, Marco Tesei, Gloria Ravegnini, Francesca Abbati, Daniela Rubino, Claudio Zamagni, Emanuela D'Angelo, Pierandrea De Iaco, Donatella Santini, Claudio Ceccarelli, Anna Myriam Perrone, Giovanni Tallini, Dario de Biase, Antonio De Leo

Summary: This study aims to evaluate the impact of integrated molecular and pathologic risk stratification in the clinical practice of endometrial carcinoma (EC). It found that molecular classes and risk groups were correlated with disease-free survival. The study supports the prognostic importance of EC molecular classification and the essential role of histopathologic assessment in patients' management.

JOURNAL OF PERSONALIZED MEDICINE (2023)

Article Genetics & Heredity

Epilepsies of presumed genetic etiology show enrichment of rare variants that occur in the general population

Linnaeus Bundalian, Yin-Yuan Su, Siwei Chen, Akhil Velluva, Anna Sophia Kirstein, Antje Garten, Saskia Biskup, Florian Battke, Denni Lal, Henrike O. Heyne, Konrad Platzer, Chen-Ching Lin, Johannes R. Lemke, Diana Le Duc

Summary: A study on epilepsy-affected individuals and control individuals showed that rare genetic variants are more important in non-acquired focal epilepsy (NAFE) than in developmental and epileptic encephalopathies (DEEs) and genetic generalized epilepsy (GGE).

AMERICAN JOURNAL OF HUMAN GENETICS (2023)

Article Biochemical Research Methods

Comparison of two protocols for the generation of iPSC-derived human astrocytes

Patrycja Mulica, Carmen Venegas, Zied Landoulsi, Katja Badanjak, Sylvie Delcambre, Maria Tziortziou, Soraya Hezzaz, Jenny Ghelfi, Semra Smajic, Jens Schwamborn, Rejko Krueger, Paul Antony, Patrick May, Enrico Glaab, Anne Gruenewald, Sandro L. Pereira

Summary: This study compares two methods for generating iPSC-derived astrocytes and finds significant differences in the properties of the resulting cells. While one method requires a longer time and higher complexity, the astrocytes generated are more mature.

BIOLOGICAL PROCEDURES ONLINE (2023)

Article Genetics & Heredity

Assessing the performance of European-derived cardiometabolic polygenic risk scores in South-Asians and their interplay with family history

Emadeldin Hassanin, Carlo Maj, Hannah Klinkhammer, Peter Krawitz, Patrick May, Dheeraj Reddy Bobbili

Summary: This study aimed to assess the performance of European-derived polygenic risk scores (PRSs) for common metabolic diseases in South Asian individuals and to study the interaction between PRS and family history in the same population. The results showed that PRS derived from European populations can be used to stratify the risk of metabolic diseases in South Asian individuals, and with further research, the predictive power of PRS is likely to improve.

BMC MEDICAL GENOMICS (2023)

Article Cell Biology

Metabolic modelling-based in silico drug target prediction identifies six novel repurposable drugs for melanoma

Tamara Bintener, Maria Pires Pacheco, Demetra Philippidou, Christiane Margue, Ali Kishk, Greta Del Mistro, Luca Di Leo, Maria Moscardo Garcia, Rashi Halder, Lasse Sinkkonen, Daniela De Zio, Stephanie Kreis, Dagmar Kulms, Thomas Sauter

Summary: Despite high response rates to targeted kinase inhibitors, metastatic melanoma often relapses, calling for alternative therapies. This study used a refined workflow to predict common and melanoma-specific essential genes as potential drug targets. By reconstructing metabolic models, 28 candidate drugs were predicted and 12 showed high efficacy in vitro. Drug repurposing could expand treatment options for non-responders or those with acquired resistance to conventional melanoma treatments.

CELL DEATH & DISEASE (2023)

Article Clinical Neurology

HLA in isolated REM sleep behavior disorder and Lewy body dementia

Eric Yu, Lynne A. Krohn, Jennifer Ruskey, Farnaz Asayesh, Dan Spiegelman, Zalak Shah, Ruth Chia, Isabelle Arnulf, Michele T. M. Y. Hu, Jacques Montplaisir, Jean-Francois Gagnon, Alex Desautels, Yves Dauvilliers, Gian Luigi Gigli, Mariarosaria Valente, Francesco Janes, Andrea Bernardini, Birgit Hoegl, Ambra Stefani, Abubaker Ibrahim, Anna Heidbreder, Karel Sonka, Petr Dusek, David Kemlink, Wolfgang Oertel, Annette Janzen, Giuseppe Plazzi, Elena Antelmi, Michela Figorilli, Monica Puligheddu, Brit Mollenhauer, Claudia Trenkwalder, Friederike Sixel-Doering, Valerie Cochen De Cock, Luigi Ferini-Strambi, Femke Dijkstra, Mineke Viaene, Beatriz F. Abril, Bradley A. Boeve, Guy B. Rouleau, Ronald W. Postuma, Sonja Scholz, Ziv Gan-Or

Summary: This study found that the human leukocyte antigen (HLA) locus may play a role in synucleinopathies-related disorders such as isolated/idiopathic REM sleep behavior disorder (iRBD) and Lewy body dementia (LBD). The results showed that HLA-DRB1*11:01 was the only allele passing FDR correction in iRBD. Associations were also discovered between iRBD and HLA-DRB1 70D, 70Q, and 71R. Positions 70 and 71 were linked to iRBD. These findings suggest that the HLA locus may have different roles in various synucleinopathies.

ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY (2023)

Article Oncology

A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study

Camelia Alexandra Coada, Miriam Santoro, Vladislav Zybin, Marco Di Stanislao, Giulia Paolani, Cecilia Modolon, Stella Di Costanzo, Lucia Genovesi, Marco Tesei, Antonio De Leo, Gloria Ravegnini, Dario De Biase, Alessio Giuseppe Morganti, Luigi Lovato, Pierandrea De Iaco, Lidia Strigari, Anna Myriam Perrone

Summary: This study investigated the potential of radiomic features extracted from pre-surgical CT scans to predict disease-free survival (DFS) in endometrial cancer (EC) patients. Machine learning models achieved high sensitivities and specificities in both training and test sets, showing promise for predicting EC recurrence.

CANCERS (2023)

暂无数据