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Consequences of Artificial Light Exposure for Healthy Physiology

Lead Research Organisation: UNIVERSITY OF OXFORD
Department Name: Clinical Neurosciences

Abstract

CIRCADIAN RHYTHMS
Life on Earth has evolved under a rhythmically changing cycle of day and night. As a result, virtually all organisms have evolved internal biological clocks with a period of ~24h. These circadian clocks (from the Latin 'circa diem', or around a day) enable organisms to anticipate and adapt to predictable changes in their environment. In mammals, the master circadian clock is located in the suprachiasmatic nuclei (SCN) in the brain. Rhythms in the SCN are generated by a genetic clock mechanism. This clock mechanism is found in cells throughout our bodies, regulating tissue-specific functions.

CIRCADIAN EFFECTS OF LIGHT
A clock is of no use unless it can be set to the correct time. The SCN receives light information from the eye, which contains light sensitive cells (photoreceptors) which synchronise circadian rhythms to the external light/dark (LD) cycle. The retinatains two classes of visual photoreceptor - the rods (which mediate night-time vision) and cones (which give us our day-time colour vision). Work over the last two decades has led to the discovery of a novel retinal photoreceptor system, consisting of a subset of photosensitive retinal ganglion cells expressing the blue-light sensitive protein melanopsin.

DIM LIGHT IN THE EVENING
Research on the effects of light on circadian rhythms has led to a remarkable public awareness of the circadian effects of evening light exposure, with a particular concern about blue-enriched light from home lighting and mobile devices. Exposure to dim light in the evening results in a misalignment of human circadian rhythms. Our recent work has shown that this circadian effect also occurs in mice and is accompanied by misalignment of circadian clocks found throughout our bodies, including in the liver, heart and brain. The long-term effects of such light exposure are unknown. However, under other study conditions where similar misalignment is seen, changes in body weight and metabolism, heart function and learning and memory occur. Given that artificial light exposure is an unavoidable feature of modern life, this has potentially important implications for health.

PROPOSED STUDIES
This project will investigate the long-term consequences of evening light exposure. Specifically, we will study mice housed for 3 months under dim light in the evening conditions to investigate how their body weight, metabolism and heart function change. We will also study hormones and blood chemistry for changes. Mice will also undergo a range of behavioural tests to see if dim light in the evening alters learning, memory and mood. By using brain imaging, we can see if changes in specific brain regions occur, as well as how their connections with other areas of the brain change. To determine if these effects occur due to the circadian clock being unable to adapt, we will study mice that lack circadian clocks, with the prediction that these animals will be unaffected. We will also study changes in the activity of neurons at the level of the eye and the SCN master clock. We will then study the patterns of gene expression in the SCN master clock, as well as several key tissues throughout the body to see how these are affected. By studying common regulators of gene expression, this will help us understand the mechanisms by which dim light in the evening affects clocks throughout the body. Finally, we will test how changing the pattern of light exposure may avoid the detrimental circadian effects of light.

OUTCOMES
We are exposed to artificial lighting throughout our lives with little appreciation of its biological effects. This proposal will provide critical information about the long-term consequences of the modern light environment and the biological mechanisms underlying these responses. Critically, this work will also provide new data to help devise and test strategies to avoid these detrimental effects.

Technical Summary

This project addresses the specific mechanisms by which the modern light environment disrupts circadian rhythms. The widespread use of artificial lighting and light-emitting mobile devices means that we are increasingly exposed to dim light on an evening (DLE), when our circadian clocks are most sensitive to light. Accumulating evidence suggests that this can misalign circadian clocks found throughout our bodies, with negative consequences for long-term health. However, the extent of these effects on healthy physiology and our understanding of the mechanisms underlying them are limited. This information is critical if we are to develop and test strategies to mitigate these risks.

This proposal will characterise the long-term effects of DLE on metabolic, cardiovascular and cognitive function. Using a range of different phenotyping assays, we will determine the health consequence of long-term DLE (12 weeks). This will be complemented by small animal MRI to study changes in brain morphology and connectivity. We hypothesise that the detrimental effects of DLE occur via a mismatch between circadian rhythms and environmental time. To test this, we will study mice lacking circadian rhythms, where we expect the effects to be reduced. We will also study the effects of DLE on neuronal responses at the level of the retina and suprachiasmatic nuclei (SCN). We will use RNAseq to study the effects of DLE on gene expression at the level of the SCN, liver, heart, adrenal and hippocampus, using analysis of circadian transcriptional regulators to identify key mechanisms. Finally, we will investigate if interventions designed to reduce the circadian effects of DLE are effective in preventing these long-term health consequences.

Publications

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Lucas RJ (2024) Practical Advice on Measuring and Applying Light for Laboratory Mammals. in Journal of biological rhythms

 
Title Examples of movements of a mouse required to activate PIR sensors at different heights from the cage floor 
Description Near-infrared LED outside and below the cage shows the activation of the sensor. 
Type Of Art Film/Video/Animation 
Year Produced 2016 
Impact Useful tool to explain to collaborators how to set up COMPASS PIR system and how distance from cage influences sensitivity 
URL https://wellcomeopenresearch.figshare.com/articles/media/Examples_of_movements_of_a_mouse_required_t...
 
Title Extended data - The SnackerTracker: A novel home-cage monitoring device for measuring food-intake and food-seeking behaviour in mice 
Description ED - 1 - SnackerTracker Design Criteria and Constraints. Lists design criteria and constraints for SnackerTracker development. Requirements are classified as 'primary' (green) = mandatory for device function; 'secondary' (blue) = should be satisfied to meet the needs of the present study; or 'tertiary' (yellow) = an advantage to have, but not necessary, and worth considering for future applications.ED - 2 - SnackerTracker Chassis Schematics for Parts I-IV. Provides technical drawings for each chassis component including the I - body, II - case cover, III - mount plate, and IV - food holder.ED - 3 - SnackerTracker 3D Printing Specifications. Lists custom settings used within Ultimaker Cura when 3D printing the SnackerTracker chassis (optimised through iterative testing). Automatically assigned values were maintained for any additional parameters not listed here. Parameters are grouped by print features influencing chassis body quality and composition (green); overhang and build plate supports which are later removed (blue); and the mesh, which is an immaterial computational construct (yellow).ED - 4 - SnackerTracker Bill of Materials Extended Version. The Bill of Materials (BOM) lists system components, mounting/accessory elements, and tools needed to build one device. This sheet also provides information detailing the exact or approximate quantity of each product needed to build one device, as well as links to supplier websites as available at the time of publication. Some components listed under 'Construction and Testing' and 'Accessories' are not considered in price calculations as these can be re-used across other devices/projects. The material cost for one device at the time of publication totaled just under £110, including VAT (less if parts are ordered in bulk or with VAT deduction).ED - 5 - SnackerTracker Electronics Circuit Diagram. Illustrates the schematic circuit diagram corresponding to SnackerTracker electronics.ED - 6 - SnackerTracker IoT User Interface. A) Shows the IoT 'thing' configuration, where users may customise device control and ensure Wi-Fi connectivity. The user can configure multiple devices and operational settings according to experimental requirements. The user can easily navigate between this and the B) dashboard for remote data-monitoring. These can be visualised on any connected device, including via the C) mobile app and D) corresponding interface.ED - 7 - SnackerTracker Software Variables. Lists and describes descriptive variables (green), processing variables (blue), and control variables (yellow) used during SnackerTracker data analyses. Descriptive variables register experiment information for recordkeeping and do not influence underlying data. Processing variables actively filter datasets; effects of increasing or decreasing these are described, and sample values are provided. Control variables act as checkpoints throughout stages of data-filtering. The data processing step (1-9) at which each variable is initialised is provided for reference.ED - 8 - SnackerTracker Data Processing Steps. Lists and briefly describes the nine main steps involved with SnackerTracker data processing. Corresponding figures are provided in ED - 9.ED - 9 - SnackerTracker Data Processing Steps Visualised. Provides figure references for the nine main steps involved with SnackerTracker data processing. These include: i) raw data and switch assessment; ii) crop specifications; iii) mass filtering; iv) plateau filter application; v) interactions assessment and frequency analysis; vi) LDR filtering; vii) output summary, viii) cropping/alignment, and ix) data compression.ED - 10 - Sample SnackerTracker Outputs. Depicts representative SnackerTracker output files following data processing, where green = summary information as obtained from the entire recording sample (from the spreadsheet appended 'Process-Parameters'); blue = processing specifications (also from spreadsheets appended 'Process-Parameters'); and yellow = sample timeline outputs, transposed and truncated here for brevity (from spreadsheets appended 'Processed-Compressed'). Processed data which has not been compressed is simply appended 'Processed'; however, these spreadsheets are not compatible with some graphing programmes (e.g., GraphPad Prism, v10.2, RRID:SCR_002798) if they contain an excessive number of data points. 'Processed-Compressed' files are therefore useful.ED - 11 - Control and Cryptochrome-Deficient Behavioural Data Disaggregated by Sex. This illustrates the same data as shown in Figure 7 of the corresponding manuscript, which shows that control (wild-type, C57BL/6J) and cryptochrome-deficient (Cry1-/-,Cry2-/-) animal activity and food intake differs across LD and DD conditions, but disaggregated by sex. Females appear to be more active than males. E) In DD, more prominent activity bouts can be observed for female cryptochrome-deficient mice as opposed to males or control mice of both sexes. No notable sex-differences are observed for food consumption. Timeline plots and summary data are presented as mean±SEM.ED - 12 - Control and Cryptochrome-Deficient Behavioural Data as Individual Traces. Provides all raw A) animal-device interaction and B) feeding traces for control (wild-type, C57BL/6J) and cryptochrome-deficient (Cry1-/-,Cry2-/-) animals under both LD and DD conditions, underlying ED - 11 and Figure 7 of the corresponding manuscript. 
Type Of Art Image 
Year Produced 2025 
URL https://figshare.com/articles/figure/Extended_data_-_The_SnackerTracker_A_novel_home-cage_monitoring...
 
Title Reporting guidelines - The SnackerTracker: A novel home-cage monitoring device for measuring food-intake and food-seeking behaviour in mice 
Description Adherence to reporting standards is documented in the ARRIVE guidelines 2.0 checklist. 
Type Of Art Image 
Year Produced 2025 
URL https://figshare.com/articles/figure/Reporting_guidelines_-_The_SnackerTracker_A_novel_home-cage_mon...
 
Title SnackerTracker - Construction Components, Supplies, Tools, and Machines 
Description Accurately measuring activity and feeding is frequently important in laboratory animal research, whether for welfare-monitoring or experimental recording. Quantification commonly involves manual pellet-weighing; however, this can physically disturb animals and cannot continuously assess both the amount and pattern of feeding. Improved means of food-intake measurement have been developed yet are often costly and incompatible with cage configurations. We therefore developed and validated the SnackerTracker-a cost-effective, open-source, and user-friendly measurement system which continuously records food-intake, food-seeking activity, and ambient light conditions in the home-cages of small laboratory animals.These figures serve as visual aids and references to various supplies needed or recommended for SnackerTracker construction. 
Type Of Art Image 
Year Produced 2025 
Impact Visual guide to setting up the SnackerTracker system for users 
URL https://figshare.com/articles/figure/SnackerTracker_-_Construction_Components_Supplies_Tools_and_Mac...
 
Title Video Resources - SnackerTracker Overview and User Guidance 
Description Accurately measuring activity and feeding is frequently important in laboratory animal research, whether for welfare-monitoring or experimental recording. Quantification commonly involves manual pellet-weighing; however, this can physically disturb animals and cannot continuously assess both the amount and pattern of feeding. Improved means of food-intake measurement have been developed yet are often costly and incompatible with cage configurations. We therefore developed and validated the SnackerTracker-a cost-effective, open-source, and user-friendly measurement system which continuously records food-intake, food-seeking activity, and ambient light conditions in the home-cages of small laboratory animals.This video summarises SnackerTracker design, construction, and application. Subtitles are available as a separate file for download if needed. 
Type Of Art Film/Video/Animation 
Year Produced 2025 
Impact File to help users set up the SnackerTracker system in their lab 
URL https://figshare.com/articles/media/2024_-_SnackerTracker_Overview/28189793
 
Description We have characterised the long-term (3 month) effects of dim light in the evening (DLE) on multiple measures of physiology and behaviour. This has included studying activity, sleep, body temperature, metabolism, food intake, learning and memory, anxiety, stress hormones and clinical chemistry. This has show clear changes in activity, sleep and body temperature, with effects on learning and memory and anxiety as well as food intake patterns. We also have RNAseq data from tissues collected under these conditions. This extensive data set is now being prepared for publication. Overall, these data show that circadian misalignment caused by DLE has widespread effects, and that these seem to be driven by both changes in circadian rhythms AND sleep. Moreover, our data show that simply blocking blue light is ineffective in preventing this circadian misalignment, calling into question widely proposed solutions. Our work has shown the importance of behaviour in regulating light exposure, and behavioural change may provide a better approach to address these problems, rather than simply changing light levels or colour.

We are now investigating if DLE leads to changes in light sensitivity, and if these occur at the level of the retina or the master clock in the hypothalamus.
Exploitation Route Our data show that dim light in the evening - a condition that is widespread due to artificial light exposure - results in circadian misalignment, with a delay in normal activity, feeding and sleep patterns. This misalignment has many health consequences which appear to be driven by changes in the normal distribution of activity, feeding and sleep. These findings show that simply manipulating the lighting conditions is unlikely to address these health consequences, without changes in behaviour. These findings are now been applied in human studies focusing on behavioural interventions to light exposure, rather than lighting interventions.
Sectors Education

Electronics

Environment

Healthcare

 
Description Light and Health (LAH) Subcommittee - COMARE
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
URL https://www.gov.uk/government/groups/committee-on-medical-aspects-of-radiation-in-the-environment-co...
 
Description Brain Networks Underlying Sleep and Circadian Rhythm Disruption (SCRD) in Mental Health
Amount £2,998,922 (GBP)
Funding ID 226975/Z/23/Z 
Organisation Wellcome Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 05/2023 
End 05/2028
 
Description Investigating the multiple roles of cryptochromes in animal magnetoreception
Amount £2,999,998 (GBP)
Funding ID 311280/Z/24/Z 
Organisation Wellcome Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 01/2025 
End 12/2029
 
Title COMPASS v2 
Description We have substantially updated and improved our initial COMPASS system for studying sleep and circadian rhythms in mice. This has involved updates to hardware and software as well as developing tools for data analysis. We are preparing a manuscript on these updates. 
Type Of Material Physiological assessment or outcome measure 
Year Produced 2025 
Provided To Others? No  
Impact The updated hardware and software make this much easier for end users and we have already helped deploy this in other research groups. The hardware is low cost (<£300) and enables other labs to measure sleep as part of their work. As part of this work, we have shown sex-related differences in home cage activity and how routine cage changes produce sleep deprivation in mice. 
 
Title Measuring light for mammals 
Description We have adapted human lighting guidelines to enable accurate measurement of light for mice. 
Type Of Material Physiological assessment or outcome measure 
Year Produced 2024 
Provided To Others? Yes  
Impact This has generated significant interest in the laboratory animal field, which led to Prof Peirson giving the keynote talk at the Laboratory Animal Science Association (LASA) annual meeting in 2024. This work was also featured in posts by Understanding Animal Research. We are currently working on a simple guide to applying these methods in collaboration with the RSPCA. 
URL https://doi.org/10.1371/journal.pbio.3002535
 
Title SnackerTracker 
Description We have developed a system for measuring home cage foot seeking behaviour and food intake. This system is wireless and can send data to a web address so animal feeding can be monitored in real time 
Type Of Material Physiological assessment or outcome measure 
Year Produced 2023 
Provided To Others? No  
Impact We have identified rhythms in feeding, even in the absence of circadian rhythms. This has been very valuable for investigating the role of feeding in circadian disruption. We have also had interest from other groups, such as those working on the microbiome. 
 
Title Validation of DVC for circadian and sleep phenotyping 
Description In collaboration with Tecniplast, we are testing their digital ventilated cage (DVC) system for circadian phenotyping as well as validating this approach for non invasive measurement of sleep. 
Type Of Material Physiological assessment or outcome measure 
Year Produced 2022 
Provided To Others? No  
Impact This work is still in progress, but the collaboration has already led to one publication on the effects of home cage lighting on mouse activity. Circadian validation is complete and we have all data on validation of sleep in comparison with gold standard electroencephalography (EEG). 
URL https://www.frontiersin.org/articles/10.3389/fnins.2021.832535/full
 
Title Underlying data - The SnackerTracker: A novel home-cage monitoring device for measuring food-intake and food-seeking behaviour in mice 
Description Accurately measuring activity and feeding is frequently important in laboratory animal research, whether for welfare-monitoring or experimental recording. Quantification commonly involves manual pellet-weighing; however, this can physically disturb animals and cannot continuously assess both the amount and pattern of feeding. Improved means of food-intake measurement have been developed yet are often costly and incompatible with cage configurations. We therefore developed and validated the SnackerTracker-a cost-effective, open-source, and user-friendly measurement system which continuously records food-intake, food-seeking activity, and ambient light conditions in the home-cages of small laboratory animals. This package contains underlying data for the original submission for publication - The SnackerTracker: A Novel Home-Cage Monitoring Device for Measuring Food-Intake and Food-Seeking Behaviour in Small Laboratory Animals 
Type Of Material Database/Collection of data 
Year Produced 2025 
Provided To Others? Yes  
URL https://figshare.com/articles/dataset/Underlying_data_-_The_SnackerTracker_A_novel_home-cage_monitor...
 
Description Collaboration with Harvard 
Organisation Harvard University
Country United States 
Sector Academic/University 
PI Contribution We have provided passive infrared systems for home cage monitoring of activity and sleep for Harvard University for a project on circadian regulation of stroke.
Collaborator Contribution This involved building systems and shipping these to Harvard along with helping their lab set up the systems and analyse data. This helped us develop a more user-friendly system, and identify areas that end users find challenging during the equipment setup.
Impact System currently in use
Start Year 2024
 
Description Helsinki - Gabriel Peinado Allina 
Organisation University of Helsinki
Country Finland 
Sector Academic/University 
PI Contribution Work on our updated system for home cage monitoring for circadian rhythms and sleep has led to collaboration with Dr Gabriel Peinado Allina at the University of Helsinki.
Collaborator Contribution This collaboration has linked my group with Prof Thomas Euler (Tubingen, Germany) and Sara Patterson (Rochester, USA) as part of a planned funding application on studying visual and circadian function in more naturalistic environments
Impact Access to novel home cage phenotyping tools, including being able to track gaze, which will enable us to study the attention of mice to visual cues
Start Year 2026
 
Description Imperial College London 
Organisation Imperial College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Provided PIR system for home cage activity monitoring to study effects of ultrasound on mouse brain and if this affects sleep. This involved building and shipping PIR system to Imperial College and helping end user set up and use system and then analyse data.
Collaborator Contribution This helped us optimise our protocols as to how to set up the PIR systems in different animal facilities, and helped develop tools for data analysis.
Impact Collaboration still ongoing
Start Year 2024
 
Description Juan Quintana 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution Provided COMPASS PIR system for measuring home cage activity and sleep to lab working on sleeping sickness. Providing guidance on setup and data analysis.
Collaborator Contribution Validation of COMPASS system in immunological research and independent validation for studying sleep-related disorders
Impact Currently at setup stage, but this will validate the COMPASS PIR system for use in immunological research
Start Year 2025
 
Description Oxford BMS 
Organisation University of Oxford
Country United Kingdom 
Sector Academic/University 
PI Contribution Working in collaboration with our Biomedical Services (BMS) department, we are establishing a central facility for home cage monitoring for all Oxford animal users. This is based around the Tecniplast DVC system (now purchased by Oxford BMS), and will have a dedicated team of technicians and scientists to support researchers to use home cage monitoring for both scientific and welfare benefits.
Collaborator Contribution Prof Peirson is the scientific lead and will provide guidance on the use of home cage monitoring, including experimental design and statistics as well as data interpretation. This has the potential to provide additional scientific data as well as to identify the welfare impacts of procedures and to identify earlier humane endpoints.
Impact Additional papers in preparation and website in preparation
Start Year 2022
 
Description 3rd Circadian Photometry Meeting 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact 25 scientific experts were gathered together for a 3 day workshop to establish new methods for measuring light for laboratory animals. This included experts in light, circadian rhythms, vision and lab animal welfare. This resulted in writing a guidance paper and providing new tools for light measurement (in press in PLOS Biology).
Year(s) Of Engagement Activity 2023