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Scioscia M, Siwetz M, Robillard PY, Brizzi A, Huppertz B. Placenta and maternal endothelium during preeclampsia: Disruption of the glycocalyx explains increased inositol phosphoglycans and angiogenic factors in maternal blood. J Reprod Immunol 2023; 160:104161. [PMID: 37857160 DOI: 10.1016/j.jri.2023.104161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 09/10/2023] [Accepted: 10/04/2023] [Indexed: 10/21/2023]
Abstract
The etiology of the pregnancy syndrome preeclampsia is still unclear, while most hypotheses center on the placenta as the major contributor of the syndrome. Especially changes of the placental metabolism, including the use of glucose to produce energy, are important features. As an example, inositol phosphoglycan P-type molecules, second messengers involved in the glucose metabolism of all cells, can be retrieved from maternal urine of preeclamptic women, even before the onset of clinical symptoms. Alterations in the placental metabolism may subsequently lead to negative effects on the plasma membrane of the placental syncytiotrophoblast. This in turn may have deleterious effects on the glycocalyx of this layer and a disruption of this layer in all types of preeclampsia. The interruption of the glycocalyx in preeclampsia may result in changes of inositol phosphoglycan P-type signaling pathways and the release of these molecules as well as the release of soluble receptors such as sFlt-1 and sEndoglin. The release of placental factors later affects the maternal endothelium and disrupts the endothelial glycocalyx as well. This in turn may pave the way for edema, endothelial dysfunction, coagulation, all typical symptoms of preeclampsia.
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Affiliation(s)
- Marco Scioscia
- Department of Obstetrics and Gynecology, Mater Dei Hospital, Via SF Hahnemann 10, 70125 Bari, Italy.
| | - Monika Siwetz
- Division of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria
| | - Pierre-Yves Robillard
- Centre d'Études Périnatales Océan Indien, Centre Hospitalier Universitaire Sud Réunion, Saint-Pierre, La Réunion, France; Service de Néonatologie, Centre Hospitalier Universitaire Sud Réunion, Saint-Pierre, La Réunion, France, Centre Hospitalier Universitaire Sud Réunion, Saint-Pierre, La Réunion, France
| | - Agostino Brizzi
- General and Locoregional Anesthesia Department, Santa Maria Clinic, Via A de Ferrariis, 22, 70124 Bari, Italy
| | - Berthold Huppertz
- Division of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria
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Shi D, Xia X, Cui A, Xiong Z, Yan Y, Luo J, Chen G, Zeng Y, Cai D, Hou L, McDermott J, Li Y, Zhang H, Han JDJ. The precursor of PI(3,4,5)P 3 alleviates aging by activating daf-18(Pten) and independent of daf-16. Nat Commun 2020; 11:4496. [PMID: 32901024 PMCID: PMC7479145 DOI: 10.1038/s41467-020-18280-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 08/04/2020] [Indexed: 01/31/2023] Open
Abstract
Aging is characterized by the loss of homeostasis and the general decline of physiological functions, accompanied by various degenerative diseases and increased rates of mortality. Aging targeting small molecule screens have been performed many times, however, few have focused on endogenous metabolic intermediates-metabolites. Here, using C. elegans lifespan assays, we conducted a worm metabolite screen and identified an eukaryotes conserved metabolite, myo-inositol (MI), to extend lifespan, increase mobility and reduce fat content. Genetic analysis of enzymes in MI metabolic pathway suggest that MI alleviates aging through its derivative PI(4,5)P2. MI and PI(4,5)P2 are precursors of PI(3,4,5)P3, which is negatively related to longevity. The longevity effect of MI is dependent on the tumor suppressor gene, daf-18 (homologous to mouse Pten), independent of its classical pathway downstream genes, akt or daf-16. Furthermore, we found MI effects on aging and lifespan act through mitophagy regulator PTEN induced kinase-1 (pink-1) and mitophagy. MI's anti-aging effect is also conserved in mouse, indicating a conserved mechanism in mammals.
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Affiliation(s)
- Dawei Shi
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, P.R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
| | - Xian Xia
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, P.R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
| | - Aoyuan Cui
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, SINH, SIBS, CAS, Shanghai, 200031, P.R. China
| | - Zhongxiang Xiong
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, P.R. China
| | - Yizhen Yan
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
| | - Jing Luo
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Guoyu Chen
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
| | - Yingying Zeng
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, P.R. China
| | - Donghong Cai
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
| | - Lei Hou
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
| | - Joseph McDermott
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China
| | - Yu Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, SINH, SIBS, CAS, Shanghai, 200031, P.R. China
| | - Hong Zhang
- University of Chinese Academy of Sciences, Beijing, 100049, P.R. China
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, CAS, 100101, Beijing, P.R. China
| | - Jing-Dong J Han
- Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, P.R. China.
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Jeon Y, Aja S, Ronnett GV, Kim EK. D-chiro-inositol glycan reduces food intake by regulating hypothalamic neuropeptide expression via AKT-FoxO1 pathway. Biochem Biophys Res Commun 2016; 470:818-23. [PMID: 26802467 DOI: 10.1016/j.bbrc.2016.01.115] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 01/19/2016] [Indexed: 01/12/2023]
Abstract
The regulation of food intake is important for body energy homeostasis. Hypothalamic insulin signaling decreases food intake by upregulating the expression of anorexigenic neuropeptides and downregulating the expression of orexigenic neuropeptides. INS-2, a Mn(2+) chelate of 4-O-(2-amino-2-deoxy-β-D-galactopyranosyl)-3-O-methyl-D-chiro-inositol, acts as an insulin mimetic and sensitizer. We found that intracerebroventricular injection of INS-2 decreased body weight and food intake in mice. In hypothalamic neuronal cell lines, INS-2 downregulated the expression of neuropeptide Y (NPY), an orexigenic neuropeptide, but upregulated the expression of proopiomelanocortin (POMC), an anorexigenic neuropeptide, via modulation of the AKT-forkhead box-containing protein-O1 (FoxO1) pathway. Pretreatment of these cells with INS-2 enhanced the action of insulin on downstream signaling, leading to a further decrease in NPY expression and increase in POMC expression. These data indicate that INS-2 reduces food intake by regulating the expression of the hypothalamic neuropeptide genes through the AKT-FoxO1 pathway downstream of insulin.
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Affiliation(s)
- Yoonjeong Jeon
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea
| | - Susan Aja
- Center for Metabolism and Obesity Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gabriele V Ronnett
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea; Center for Metabolism and Obesity Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eun-Kyoung Kim
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea; Neurometabolomics Research Center, Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea.
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