Summary

Concurrent Collection of Fetal Murine Brain and Serum to Assess Effects of Maternal Diet on Nutrition and Neurodevelopment in Neurofibromatosis Type 1

Published: May 17, 2024
doi:

Summary

In this protocol, we describe a method for simultaneous collection of fetal brain tissue as well as high-quality, non-hemolyzed serum from the same mouse embryo. We have utilized this technique to interrogate how maternal dietary exposure affects macronutrient profiles and fetal neurodevelopment in mice heterozygous for Nf1 (Neurofibromatosis Type 1).

Abstract

Maternal diet-induced obesity has been demonstrated to alter neurodevelopment in offspring, which may lead to reduced cognitive capacity, hyperactivity, and impairments in social behavior. Patients with the clinically heterogeneous genetic disorder Neurofibromatosis Type 1 (NF1) may present with similar deficits, but it is currently unclear whether environmental factors such as maternal diet influence the development of these phenotypes, and if so, the mechanism by which such an effect would occur. To enable evaluation of how maternal obesogenic diet exposure affects systemic factors relevant to neurodevelopment in NF1, we have developed a method to simultaneously collect non-hemolyzed serum and whole or regionally micro-dissected brains from fetal offspring of murine dams fed a control diet versus a high-fat, high-sucrose diet. Brains were processed for cryosectioning or flash frozen to use for subsequent RNA or protein isolation; the quality of the collected tissue was verified by immunostaining. The quality of the serum was verified by analyzing macronutrient profiles. Using this technique, we have identified that maternal obesogenic diet increases fetal serum cholesterol similarly between WT and Nf1-heterozygous pups.

Introduction

Neurofibromatosis Type 1 (NF1) is considered a RASopathy, a group of disorders characterized by germline genetic mutations resulting in activation of the RAS/MAPK (RAt Sarcoma virus/Mitogen-activated Protein Kinase) signaling pathway. Patients with the NF1 RASopathy are at risk for developing many different manifestations, including both benign and malignant tumors of the central (optic pathway glioma1,2, high-grade glioma3,4) and peripheral (plexiform neurofibroma5,6, malignant peripheral nerve sheath tumor7,8) nervous system as well as bony dysplasias9 and skin pigmentary abnormalities10 (axillary freckling, café-au-lait macules). The effect of this disorder on cognition and neurodevelopment is increasingly being recognized, with NF1 patients displaying an increased incidence of learning deficits, hyperactivity, and autism spectrum disorder11,12,13. However, there is significant heterogeneity in the development of these phenotypes between patients13,14,15,16,17, and it is unclear why some patients display significant cognitive impairments while others are unaffected. Maternal diet-induced obesity has been shown to similarly affect learning and behavior in the general population18,19,20,21,22,23,24,25,26,27,28, suggesting that differential maternal dietary exposures in NF1 could be one source of this clinical heterogeneity. In particular, children of obese mothers display an increased risk of developing hyperactivity18,19,20,23,25,26, autism19,24,27, executive function deficits21,23, and have lower full-scale IQ scores22,28. However, patients with NF1 have altered metabolic phenotypes compared to the general population, including decreased incidence of obesity and diabetes29,30,31, making it unclear whether they would respond similarly to dietary stimuli.

To address these questions, we wished to determine whether obesogenic-diet-induced changes to the macronutrient profile in fetal offspring with Nf1 contributed to neurodevelopmental changes. We have previously collected high-quality whole and regionally micro-dissected tissue appropriate for neurodevelopmental applications from the fetal brain32. However, fetal blood collection is challenging due to the small body size and low blood volume33. The collection of blood via gravity-aided drainage after decapitation led to low collection volumes and significant hemolysis in our samples, which can affect downstream application interpretation. Collection via aspiration from the fetal heart or thoracic vessels, as has been previously reported33, was technically challenging and also resulted in frequent hemolysis. We thus developed a method for fetal serum collection, which utilizes specialized capillary tubes to allow for higher volume collection without significant shear stress.

Here, we present this method to simultaneously collect embryonic brains and fetal serum from Nf1-heterozygous pups exposed to a high-fat, high-sugar diet versus a control diet in utero (Figure 1 and Supplemental Table S1). Brains were cryo-embedded for subsequent analysis by immunofluorescence or regionally micro-dissected and flash-frozen for subsequent use in molecular biology applications. High-quality serum was obtained, suitable for downstream applications such as macronutrient profiling. Utilizing this method, we identified that maternal high-fat, high-sucrose dietary exposure leads to the elevation of serum cholesterol levels in both WT and Nf1-heterozygous pups.

Protocol

All animal procedures in this study followed NIH guidelines and were approved by the Institutional Animal Care and Use Committee of Washington University in St. Louis. Animals were housed with standard 12 h light:dark cycling and free access to food and water. 1. Maternal diet Place female mice on control chow (CD) or obesogenic diet (Ob) at 4 weeks of age. At 8-12 weeks of age, set up timed mating by monitoring the mucus plug of the dam in the early morn…

Representative Results

To illustrate the quality of brain tissue obtained via this technique, we show sample embryonic brains from Nestin-CFPnuc mice35, immunostained for GFAP per a previously reported technique32. Nestin+ cells are seen lining the lateral ventricle (Figure 2A), with GFAP+ filaments extending from the surface. We did not observe differences between Nestin or GFAP expression in the lateral ventricle of CD versus Ob-exposed mice i…

Discussion

Traditional methods for collecting blood from mice include retrobulbar, tail vein, saphenous vein, facial vein, and jugular vein bleeding40,41,42. Unfortunately, these methods are not ideal for embryonic blood collection due to the size of the animal and small, delicate vasculature. Collection of blood via gravity-aided drainage after decapitation led to both low collection volumes and significant hemolysis in our samples. Previ…

Divulgazioni

The authors have nothing to disclose.

Acknowledgements

N Brossier is supported by the Francis S. Collins Scholars Program in Neurofibromatosis Clinical and Translational Research funded by the Neurofibromatosis Therapeutic Acceleration Program (NTAP, Grant # 210112). This publication was supported in part by funding from the NTAP at the Johns Hopkins University School of Medicine. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of The Johns Hopkins University School of Medicine. Additional support by the St. Louis Children's Hospital (FDN-2022-1082 to NMB) and the Washington University in St. Louis Diabetes Research Core (NIH P30 DK020579). Microscopy was performed through the use of the Washington University Center for Cellular Imaging (WUCCI), supported by the Washington University School of Medicine, The Children's Discovery Institute of Washington University, and St. Louis Children's Hospital (CDI-CORE-2015-505 and CDI-CORE-2019-813) and the Foundation for Barnes-Jewish Hospital (3770 and 4642). Nestin-CFPnuc35 mice were generously provided by Grigori Enikolopov (Renaissance School of Medicine, Stony Brook University, NY), and Nf1 mice heterozygous for either an R681X or C383X germline mutation32,38,39 were generously provided by David Gutmann (Washington University School of Medicine, St. Louis, MO). Figure 1 was created with BioRender.com.

Materials

#5/45 Forceps Dumont  11251-35 tip shape: angled 45°
4200 Tapestation Agilent G2991BA Verify RNA integrity and quality, measurement of RIN values
Benchtop Liquid Nitrogen Container Thermo Fisher 2122 Or other cryo-safe container
Control Chow PicoLab 5053 Research diets D12328 (low-fat, low-sugar) may also be used.
Curved Forceps Cole Parmer UX-10818-25 Tip shape: curved 90°
Dissecting blade handle Cole-Parmer Essentials 10822-20 SS Siegel-Type, #10 to #15 blades
EMS SuperCut Dissection Scissors Electron microscope sciences 72996-01 5½" (139.7 mm), Straight
GFAP Antibody Abcam ab7260 Dilute 1:350. Block with 10% serum containing 0.3 M Glycine.
Glassvan Carbon Steel Surgical Blades, Size 11 MYCO medical 2001T-11 #11 blades allow straight, flat cut
Micro lab spoon Az Scilab A2Z-VL001 stainless steel, autoclavable
Micro scissors Rubis 78180-1C3 model 1C300
Minivette POCT neutral Sarstedt 17.2111.050 nominal volume: 50 µL, without preparation
Nanorop Thermo Fisher 13-400-519 Measure RNA concentration, 260/280 ratios
Obesogenic diet Researchdiets.com D12331 High-fat, high-sucrose
Total Cholesterol Reagent Thermo Fisher TR13421 Colorimetric detection
β-actin antibody Cell Signaling 8457 Dilute 1:1,000.

Riferimenti

  1. Listernick, R., Darling, C., Greenwald, M., Strauss, L., Charrow, J. Optic pathway tumors in children: the effect of neurofibromatosis type 1 on clinical manifestations and natural history. J Pediatr. 127 (5), 718-722 (1995).
  2. Fisher, M. J., et al. Integrated molecular and clinical analysis of low-grade gliomas in children with neurofibromatosis type 1 (NF1). Acta Neuropathol. 141 (4), 605-617 (2021).
  3. Cimino, P. J., et al. Expanded analysis of high-grade astrocytoma with piloid features identifies an epigenetically and clinically distinct subtype associated with neurofibromatosis type 1. Acta Neuropathol. 145 (1), 71-82 (2023).
  4. Lucas, C. -. H. G., et al. Multiplatform molecular analyses refine classification of gliomas arising in patients with neurofibromatosis type 1. Acta Neuropathol. 144 (4), 747-765 (2022).
  5. Fisher, M. J., et al. Management of neurofibromatosis type 1-associated plexiform neurofibromas. Neuro-Oncol. 24 (11), 1827-1844 (2022).
  6. Packer, R. J., et al. Plexiform neurofibromas in NF1. Neurology. 58 (10), 1461-1470 (2002).
  7. Evans, D. G. R., et al. Malignant peripheral nerve sheath tumours in neurofibromatosis 1. J Med Genet. 39 (5), 311 (2002).
  8. Prudner, B. C., Ball, T., Rathore, R., Hirbe, A. C. Diagnosis and management of malignant peripheral nerve sheath tumors: Current practice and future perspectives. Neurooncol Adv. 2, i40-i49 (2020).
  9. Ma, Y., et al. A molecular basis for neurofibroma-associated skeletal manifestations in NF1. Genet Med. 22 (11), 1786-1793 (2020).
  10. Ozarslan, B., Russo, T., Argenziano, G., Santoro, C., Piccolo, V. Cutaneous findings in neurofibromatosis Type 1. Cancers. 13 (3), 463 (2021).
  11. Hyman, S. L., Shores, A., North, K. N. The nature and frequency of cognitive deficits in children with neurofibromatosis type 1. Neurology. 65 (7), 1037-1044 (2005).
  12. Morris, S. M., et al. Disease burden and symptom structure of autism in neurofibromatosis type 1: a study of the International NF1-ASD Consortium Team (INFACT). JAMA Psychiatry. 73 (12), 1276-1284 (2016).
  13. Geoffray, M. -. M., et al. Predictors of cognitive, behavioural and academic difficulties in NF1. J Psychiatr Res. 140, 545-550 (2021).
  14. Monroe, C. L., Dahiya, S., Gutmann, D. H. Dissecting clinical heterogeneity in neurofibromatosis type 1. Ann Rev Pathol. 12 (1), 53-74 (2017).
  15. Kehrer-Sawatzki, H., Mautner, V. -. F., Cooper, D. N. Emerging genotype-phenotype relationships in patients with large NF1 deletions. Hum Genet. 136 (4), 349-376 (2017).
  16. Hou, Y., et al. Predictors of cognitive development in children with neurofibromatosis type 1 and plexiform neurofibromas. Dev Med Child Neurol. 62 (8), 977-984 (2020).
  17. Biotteau, M., et al. Sporadic and familial variants in NF1: an explanation of the wide variability in neurocognitive phenotype. Front Neurol. 11, 368 (2020).
  18. Rodriguez, A., et al. Maternal adiposity prior to pregnancy is associated with ADHD symptoms in offspring: evidence from three prospective pregnancy cohorts. Int J Obes (Lond). 32 (3), 550-557 (2008).
  19. Andersen, C. H., Thomsen, P. H., Nohr, E. A., Lemcke, S. Maternal body mass index before pregnancy as a risk factor for ADHD and autism in children). Eur Child Adolesc Psychiatry. 27 (2), 139-148 (2018).
  20. Pugh, S. J., et al. Gestational weight gain, prepregnancy body mass index and offspring attention-deficit hyperactivity disorder symptoms and behaviour at age 10. Bjog. 123 (13), 2094-2103 (2016).
  21. Mina, T. H., et al. Prenatal exposure to maternal very severe obesity is associated with impaired neurodevelopment and executive functioning in children. Pediatr Res. 82 (1), 47-54 (2017).
  22. Oken, E., et al. Analysis of maternal prenatal weight and offspring cognition and behavior: Results from the Promotion of Breastfeeding Intervention Trial (PROBIT) Cohort. JAMA Netw Open. 4 (8), e2121429-e2121429 (2021).
  23. Buss, C., et al. Impaired executive function mediates the association between maternal pre-pregnancy body mass index and child ADHD symptoms. PLOS ONE. 7 (6), e37758 (2012).
  24. Li, Y. -. M., et al. Association between maternal obesity and autism spectrum disorder in offspring: a meta-analysis. J Autism Dev Disord. 46 (1), 95-102 (2016).
  25. Dow, C., Galera, C., Charles, M. -. A., Heude, B. Maternal pre-pregnancy BMI and offspring hyperactivity-inattention trajectories from 3 to 8 years in the EDEN birth cohort study. Eur Child Adolesc Psychiatry. 32 (10), 2057-2065 (2023).
  26. Fast, K., et al. Prevalence of attention-deficit/hyperactivity disorder and autism in 12-year-old children: A population-based cohort. Devl Med Child Neurol. 66 (4), 493-500 (2023).
  27. Carter, S. A., et al. Maternal obesity and diabetes during pregnancy and early autism screening score at well-child visits in standard clinical practice. Autism. 28 (4), 975-984 (2023).
  28. West, Z., et al. Relationships between maternal body mass index and child cognitive outcomes at 3 years of age are buffered by specific early environments in a prospective Canadian birth cohort. J Dev Orig Health Dis. 14 (1), 42-52 (2023).
  29. Gutmann, D. H., et al. Neurofibromatosis type 1. Nat Rev Dis Primers. 3, 17004 (2017).
  30. Martins, A. S., et al. Lower fasting blood glucose in neurofibromatosis type 1. Endocr Connect. 5 (1), 28-33 (2016).
  31. Martins, A. S., et al. Increased insulin sensitivity in individuals with neurofibromatosis type 1. Arch Endocrinol Metab. 62 (1), 41-46 (2018).
  32. Brossier, N. M., Thondapu, S., Cobb, O. M., Dahiya, S., Gutmann, D. H. Temporal, spatial, and genetic constraints contribute to the patterning and penetrance of murine Neurofibromatosis-1 optic glioma. Neuro Oncol. 23 (4), 625-637 (2020).
  33. de Lurdes Pinto, M., et al. Technical Report: Mouse fetal blood collection taking the best out of the old needle-syringe method. Scandinavian Journal of Laboratory Animal Science. 35 (1), 5 (2008).
  34. Musillo, C., et al. Bdnf-Nrf-2 crosstalk and emotional behavior are disrupted in a sex-dependent fashion in adolescent mice exposed to maternal stress or maternal obesity. Transl Psychiatry. 13 (1), 399 (2023).
  35. Encinas, J. M., Vaahtokari, A., Enikolopov, G. Fluoxetine targets early progenitor cells in the adult brain. Proc Natl Acad Sci U S A. 103 (21), 8233-8238 (2006).
  36. Anastasaki, C., et al. Human induced pluripotent stem cell engineering establishes a humanized mouse platform for pediatric low-grade glioma modeling. Acta Neuropathol Commun. 10 (1), 120 (2022).
  37. Cai, H. -. J., Xie, C. -. L., Chen, Q., Chen, X. -. Y., Chen, Y. -. H. The relationship between hepatic low-density lipoprotein receptor activity and serum cholesterol level in the human fetus. Hepatology. 13 (5), 852-857 (1991).
  38. Toonen, J. A., et al. NF1 germline mutation differentially dictates optic glioma formation and growth in neurofibromatosis-1. Hum Mol Genet. 25 (9), 1703-1713 (2016).
  39. Guo, X., Pan, Y., Gutmann, D. H. Genetic and genomic alterations differentially dictate low-grade glioma growth through cancer stem cell-specific chemokine recruitment of T cells and microglia. Neuro Oncol. 21 (10), 1250-1262 (2019).
  40. Parasuraman, S., Raveendran, R., Kesavan, R. Blood sample collection in small laboratory animals. J Pharmacol Pharmacother. 1 (2), 87-93 (2010).
  41. Meyer, N., et al. Impact of three commonly used blood sampling techniques on the welfare of laboratory mice: Taking the animal’s perspective. PLOS ONE. 15 (9), e0238895 (2020).
  42. Diehl, K. H., et al. A good practice guide to the administration of substances and removal of blood, including routes and volumes. J Appl Toxicol. 21 (1), 15-23 (2001).
  43. Jung, J., Garnett, E., Rector, K., Jariwala, P., Devaraj, S. Effect of collection tube type on glucose stability in whole blood. Ann Clin Lab Sci. 50 (4), 557-559 (2020).
  44. Bonetti, G., et al. Which sample tube should be used for routine glucose determination. Prim Care Diabetes. 10 (3), 227-232 (2016).
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Citazione di questo articolo
Martin, G. E., Chan, A., Brossier, N. M. Concurrent Collection of Fetal Murine Brain and Serum to Assess Effects of Maternal Diet on Nutrition and Neurodevelopment in Neurofibromatosis Type 1. J. Vis. Exp. (207), e66226, doi:10.3791/66226 (2024).

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