The article provides a comprehensive protocol to generate a maternal immune activation (MIA) mouse model to study the effects of early-gestational inflammation on neurodevelopment, including key metrics to ensure reliability and reproducibility.
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Method Article
The article provides a comprehensive protocol to generate a maternal immune activation (MIA) mouse model to study the effects of early-gestational inflammation on neurodevelopment, including key metrics to ensure reliability and reproducibility.
Neurodevelopmental disorders (NDDs) arise from complex interactions between genetic and environmental risk factors, including prenatal immune activation. Maternal immune activation (MIA) in mice is a widely used model to study environmental contributions to NDDs; variability in experimental outcomes limits reproducibility. Here, we present a standardized protocol for inducing MIA during early gestation at embryonic day 9.5 (E9.5) in mice, incorporating multiple quality control metrics to assess immune response and predict pregnancy outcomes. Following administration of polyinosinic:polycytidylic acid (poly(I:C)), maternal serum cytokines are quantified to confirm robust immune activation, allowing an exclusion metric for low responders. Maternal weight trajectories from E0.5 to E12.5 are predictive of litter viability, with dams that produced litter exhibiting characteristic weight-gain patterns distinct from dams that lost a litter. We also observed that the animal vendor significantly influenced maternal immune response and litter viability, while poly(I:C) formulation was not a significant factor. Altogether, the protocol provides strategies to enhance the reproducibility of the early-gestational MIA model and the viability of the offspring by monitoring maternal immune response and weight changes, and by controlling animal vendors, to ultimately study the effect of prenatal immune activation on neurodevelopment.
Current genome-wide association studies identified hundreds of risk alleles, chromosomal rearrangements, and copy number variants that contribute to neurodevelopmental disorder (NDD) susceptibility1,2,3,4,5. However, genetic alterations confer only a small degree of increased risk, and the large copy number variants with stronger disease associations affect only a small percentage of cases6. Moreover, human epidemiologic studies reveal that early-life stressors, such as prenatal inflammation, increase the risk for diagnosis with a NDD7,8,9. Therefore, it is well established that environmental factors act in concert with genetic risk factors in the etiology of NDDs, and mouse models are an important tool for disentangling the contributions of genetic and environmental risk factors in brain development and disease risk. While animal models assessing genetic risk factors for NDDs are widely accepted because of their robust and reproducible results, models assessing environmental risks struggle with consistent standardization and variability in resulting phenotypes, such as behavioral or neuroanatomical differences in MIA offspring10,11,12,13,14,15,16,17. For example, key experimental parameters, such as gestational timing of the immune challenge, variability in type and dosing of immune stimulus, maternal cytokine responses, and litter variability, such as resilient and susceptible offspring, substantially influence experimental outcomes but are not always addressed in methodological descriptions. Presented here is a standardized protocol for generating early-gestational maternal immune activation (MIA) in mice, including multiple quality control checks to ensure rigor and reproducibility when studying how early-life immune stress impacts neurodevelopment and health outcomes.
Our aims are to present a protocol to 1) improve the reliability of the MIA model and 2) characterize variables that can contribute to experimental heterogeneity. In rodents, MIA is commonly induced by systemic administration of immune stimulants such as polyinosinic:polycytidylic acid (poly(I:C)), a viral mimetic, or lipopolysaccharide (LPS), a bacterial mimetic, at various gestational timepoints, including embryonic day 9.5 (E9.5), E12.5, E15.5, E17.5, and more18,19. These manipulations induce a robust maternal cytokine response that alters fetal neurodevelopment and leads to behavioral and molecular phenotypes indicative of NDDs20,21,22,23. However, many studies do not routinely assess the maternal immune response, making it difficult to confirm the strength or consistency of MIA induction across experiments12,14,24. To address this, we established multiple quality control metrics and set a threshold for the E9.5 MIA maternal response based on cytokine levels measured in maternal serum following poly(I:C) immune stimulation. Our approach allows for more precise dosing of the immune stimulant and for the identification and exclusion of low- or non-responders, ultimately improving reliability and robustness of the model. Although rarely discussed in the field, low litter viability is a known limitation of the MIA model, particularly with induction at E9.5. While induction at mid-gestation (E12.5) can improve litter viability, we aim to establish checkpoints during early-gestational MIA induction that can help predict litter viability and additionally identify variables that enhance reproductive success.
MIA is a valuable model for studying environmental effects on neurodevelopment because, unlike in vitro models, which isolate cells from their environment, MIA uses the in utero environment to study the effects on offspring neurodevelopment. While MIA is often used alone to model NDDs, it can also be combined with genetic models or additional early-life stressors, offering insight into the complex interplay between genes and environment or repeated environmental stressors. Studies have combined MIA with rodents harboring genetic NDD risk variants, such as DISC1, CNTNAP2, and SHANK3, to demonstrate the synergistic interaction between environment and genetics25,26,27,28,29. Additionally, a "two-hit" model of environmental stress combined MIA with a second early-life stressor, such as psychological stress or adolescent drug exposure, postnatally leading to the onset or exacerbation of phenotypes30,31,32. Together, these approaches highlight the versatility of the MIA model, which can be used alone or in tandem with other environmental or genetic risk factors.
This article provides step-by-step methods for inducing MIA in mice to study the effects of prenatal inflammation on neurodevelopment. It includes checkpoints to increase reproducibility and insight into the various factors that affect MIA efficiency (Figure 1).

Figure 1: Timeline of MIA generation. Timed pregnant dams are administered poly(I:C) or saline at E9.5, followed by a blood draw 3 h later. Maternal weights are collected at E0.5, E9.5, E10.5, E11.5, and E12.5 to monitor the pregnancy progression post-injection. Please click here to view a larger version of this figure.
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All animal experiments were conducted in accordance with ethical guidelines at the University of Oklahoma and were approved by the Institutional Animal Care and Use Committee (IACUC). Animals were housed in individually ventilated cages on 1/8-inch cellulose bedding with ad libitum access to food and water, and cage enrichments including a nestlet and a hut. The animal breeding facility is maintained on a 14-hour on, 10-hour off light cycle in accordance with Jackson Laboratory to reflect the photoperiod of late spring, a peak mouse breeding season.
Refer to Table 1 for specific data fields to be collected throughout the protocol. Refer to the supplemental statistics table (Supplementary Table 1) and GitHub (https://hayes-lab.github.io/2026_Camfield_JoVE/) for detailed statistical analyses.
Table 1: Example data collection sheet. Template of important data to collect while generating the MIA model. Please click here to download this Table.
1. Generation of timed pregnancies
2. Preparation of polyinosinic:polycytidylic acid (poly(I:C))
3. Injecting poly(I:C)
4. Blood draw
5. Monitoring of injected dams
6. Validation of immune response
7. Statistical analysis
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Following administration of poly(I:C) or saline at E9.5, maternal serum cytokines were assessed to evaluate the efficiency and robustness of MIA induction (Figure 2). MIA dams displayed significantly increased interleukin-6 (IL-6) levels relative to CON dams (Figure 2A). Additionally, assessment of IL-6 levels allowed for exclusion of MIA dams that did not meet the predefined threshold of 1,000 pg/mL. Thus, IL-6 quantification serves as a valuable biomarker for ...
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In this protocol, we established checkpoints to increase the efficiency, robustness, and reproducibility of the early-gestational maternal immune activation (MIA) model, focusing on maternal cytokine responses, weight trajectories, and experimental variables that influence pregnancy outcomes. Our results demonstrate that MIA induces variable maternal immune responses, with IL-6 serving as a reliable biomarker for identifying dams with suboptimal immune activation. Approximately 31% of MIA-treated dams failed to reach the...
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The authors have no conflicts of interest to disclose.
The research was generously funded by a K01 from NIH (K01AG087810), a Burroughs Wellcome Fund Next Gen pregnancy initiative grant (1266845), and a COBRE pilot award (P20GM134973). Figure 1 was created with BioRender.com.
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| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| Animal weighing scale | Kent Scientific | SCL-4000 | For weighing mcie |
| BD Lo-Dose U-100 Insulin syringes - 28G | Fisher Scientific | 14-826-79 | For PIC, intraperitoneal injection |
| C57BL/6J female mice | The Jackson Laboratory | 000664 | 10-12 week old, virgin females |
| C57BL/6J male mice | The Jackson Laboratory | 000664 | Breeding males |
| C57BL/6NCrl female mice | Charles River Laboratories | 027 | 10-12 week old, virgin females |
| Centrifuge (24-place lab standard) | Eppendorf | 5425 R | Spin down blood to collect serum |
| Data documentation platform | Airtable, Microsoft Excel, etc. | Keep records of important data, such as weights, time of injection, etc. (Table 1) | |
| Digital dry bath - One block | Medicus Health | 5277M1 | Use to heat PIC before injection |
| Eppendorf tubes - 1.5 mL | Eppendorf | 30123611 | Use when diluting PIC to stock nd working concentrations |
| Fisherbrand gauze sponges | Fisher Scientific | MSD-1400250 | Use to stop bleeding of tail after blood collection |
| Fisherbrand mall probe 6 in. | Fisher Scientific | 13-820-026 | Use to plug check |
| HydroGel | Clear H20 | 70-01-5022 | Supplement after injections |
| Mouse IL-6 uncoated ELISA kit | Thermo Fisher Scientific | 88-7064-88 | Quantify IL-6 levels in maternal serum |
| Nalgene polypropylene Griffin low-form plastic beakers | Thermo Fisher Scientific | 1201-1000PK | Put mice in beaker when weighing |
| Poly(I:C) (LMW) | Invivogen | tlrl-picw | PIC (LMW) for MIA injection |
| Polyinosinic–polycytidylic acid sodium salt | Sigma | P9582 | PIC (Sigma) for MIA injection |
| Scalpel blades, #22, 10 pack | Home Science Tools | DE-SC22BLD | Use to snip end of tail for blood collection |
| Sodium chloride 0.9% (Normal saline), USP, Sterile grade, Cytiva Hyclone | Cytiva | Z1376 | Inject for generation of control mice |
| Tail snipping platform | Braintree Scientific, Inc. | IL-200 | Properly restrains mice during tail bleeds |
| Vortex-Genie 2 | Scientific Industries, Inc. | SI-0236 | Vortex PIC after dilution |
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