Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2026 Feb 1.
Published in final edited form as: Behav Pharmacol. 2024 Dec 12;36(1):40–46. doi: 10.1097/FBP.0000000000000806

1,4-Dihydroxy-2-naphthoic acid (1,4-DHNA) prevents MPTP-induced motor function deficits

Caitlin A Madison 1, Roanna A Debler 1, Paula L Gallegos 1, Lauren Hillbrick 1, Robert S Chapkin 2, Stephen Safe 3, Shoshana Eitan 1,*
PMCID: PMC11781791  NIHMSID: NIHMS2039556  PMID: 39660867

Abstract

Parkinson’s disease (PD), characterized by death of dopaminergic neurons in the substantia nigra, is the second most prevalent progressive neurodegenerative disease. However, the etiology of PD is largely elusive. This study employed the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) rodent model to examine the effectiveness of 1,4-dihydroxy-2-naphthoic acid (1,4-DHNA), an aryl hydrocarbon receptor (AhR) active gut bacteria-derived metabolite, in mitigating MPTP’s motoric deficits, and the role of AhR in mediating these effects. Male C57BL/6 mice were fed daily with vehicle, 20 mg/kg 1,4-DHNA, or AhR-inactive isomer 3,7-DHNA, for three weeks prior to administration of 80 mg/kg MPTP or vehicle. Four weeks later, mice were assessed for motoric functions. Both 1,4-DHNA and 3,7-DHNA prevented MPTP-induced deficits in the motor pole test and in the adhesive strip removal test. Additionally, 1,4-DHNA improved balance beam performance and completely prevented MPTP-induced reduction in stride length. In contrast, 3,7-DHNA, an AhR-inactive compound, did not improve balance beam performance and had only a partial effect on stride length. This study suggests that natural metabolites of gut microbiota, such as 1,4-DHNA, could be beneficial to counteract the development of motor deficits observed in PD. Thus, this study further supports the hypothesis that pathological and mitigating processes in the gut could play an essential role in PD development. Moreover, this indicates that 1,4-DHNA’s ability to combat various motor deficits is likely mediated via multiple underlying molecular mechanisms. Specifically, AhR is involved, at least partially, in control of gait and bradykinesia, but it likely does not mediate the effects on fine motor skills.

Keywords: Parkinson’s disease (PD); 1,4-dihydroxy-2-naphthoic acid (1,4-DHNA); 3,7-dihydroxy-2-naphthoic acid (3,7-DHNA); Aryl hydrocarbon receptor (AhR); gut microbiota; motor control; 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)

Introduction

Parkinson’s disease (PD) is the second most prevalent progressive neurodegenerative disorder that significantly impacts the quality of life of approximately 1 to 2% of individuals over the age of 65 (Twelves et al., 2003, Marras et al., 2018, Simon et al., 2020). Common motor impairments in PD include tremors, bradykinesia, rigidity and postural instability (Mazzoni et al., 2012). Dopamine acts as a crucial neurotransmitter involved in motor control, and death of dopaminergic neurons in the substantia nigra pars compacta (SNpc) is a hallmark of PD. However, the etiology of PD is still elusive. Genetic factors have been identified in familial forms of PD (Day et al., 2021); however given that the majority of PD cases are sporadic, environmental factors were indicated to also have significant contribution (Ball et al., 2019). Disease progression has been linked to dysfunction in mitochondrial processes, resulting in increased oxidative stress leading to cellular damage and inflammation (Beal, 2003, Subramaniam et al., 2013). Additionally, oxidative stress exacerbates the aggregation of α-synuclein, and accumulation of Lewy bodies, which in turn disrupts cellular functions (Maguire-Zeiss et al., 2005, Olivares et al., 2009).

Interestingly, dopamine and carbidopa, a drug used for treating PD, are aryl hydrocarbon receptor (AhR) ligands (Safe, 2017, Park et al., 2020). Moreover, abnormal kynurenine pathway metabolism was associated with aging and the pathology of PD (Venkatesan et al., 2020, Fathi et al., 2022, Qin et al., 2022), and its major metabolite, kynurenine, is also an endogenous ligand for the AhR (Opitz et al., 2011, Bessede et al., 2014). Additionally, Parkin (RBR E3 Ubiquitin Protein Ligase, PRKN), which was linked to mitochondrial dysfunction and PD (Lim et al., 2012), is transcriptionally regulated by AhR (González-Barbosa et al., 2019). AhR is a ligand-activated transcription factor that binds structurally-diverse ligands and is expressed across many organs and tissues (Safe et al., 2018, Safe et al., 2020, Grifka-Walk et al., 2021, Stockinger et al., 2021). Additionally, AhR plays a key role in the microbiome-gut-brain axis (Lee et al., 2017, Barroso et al., 2021). This is noteworthy, because altered microbiota composition has been observed in PD patients, and is believed to be associated with gut dysbiosis and inflammation (Romano et al., 2021) and the development of PD (Cryan et al., 2020, Zhu et al., 2022). Moreover, Lewy bodies and abnormal aggregation of α-synuclein were observed in the enteric nervous system of PD patients (Gold et al., 2013), supporting the hypothesis that, at least in some forms of PD, the pathological process is interconnected from the gut to brain (Holmqvist et al., 2014, Kim et al., 2019).

1,4-Dihydroxy-2-naphthoic acid (1,4-DHNA) is a bacteria-derived metabolite produced by Propionibacterium freudenreichii and Lactobacillus casei, which stimulates bifodobacterial growth (Bentley et al., 1982, Mori et al., 1997, Isawa et al., 2002). 1,4-DHNA is an AhR agonist (Cheng et al., 2017, Vermillion Maier et al., 2021), and given the suggested roles of gut microbiota and AhR in PD, this study employed the MPTP (1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine) rodent model to examine the effectiveness of 1,4-DHNA in preventing motor deficits linked to Parkinson.

MPTP is a prodrug that damages the nigrostriatal dopaminergic pathway and produces motoric deficits which resembles PD, and it is the most common mouse model used for investigating PD (Huang et al., 2017). MPTP crosses the blood brain barrier where it is modified to the neurotoxin MPP+ by reactive astrocytes (Ransom et al., 1987). MPP+ was demonstrated to displace dopamine from vesicular stores, inhibit the mitochondrial respiratory complex I, and increase the formation of reactive oxygen species, resembling pathological processes in PD (Beal, 2003). In this study, we examined the ability of 1,4-DHNA to prevent MPTP-induced Parkinson-like state and focused on the ability of 1,4-DHNA to prevent MPTP-induced deficits in stride length/walking/balance as well as to ameliorate MPTP-induced deficits in fine motor coordination. Moreover, to determine the role of AhR in mediating the prevention of MPTP-induced symptoms, we compared the effects of 1,4-DHNA to the effects observed for 3,7-dihydroxy-2-naphthoic acid (3,7-DHNA), a structurally similar derivative that is predominantly inactive at the AhR (Cheng et al., 2017).

Methods

Animals

All procedures were conducted in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee. The study used 96 C57BL/6N male mice that were purchased from Envigo Laboratories (Houston, Texas, USA) and housed 3–4 per cage with food and water ad libitum in a temperature-controlled (21 +/− 2°C, humidity 45%) vivarium with a 12-hour light/12-hour dark cycle (light on at 7:30 AM). We examined male mice given that the prevalence of PD in males is approximately double that of females (Ou et al., 2021). Future studies should also include female mice.

Materials

Ligands and MPTP were purchased from Sigma-Aldrich (St. Louis, MO). Similar to our previous studies (Madison et al., 2022a, Madison et al., 2022b, Debler et al., 2023, Madison et al., 2023), ligands (20 mg/kg 1,4-DHNA or 3,7-DHNA) were dissolved in corn oil and mixed into melted peanut butter and were fed daily. 80 mg/kg MPTP was delivered in 4 intraperitoneal injections of 20 mg/kg MPTP, 2 hours apart.

Behavioral Tests for Motor Function

Pole test (Abramow-Newerly et al., 2006):

The apparatus consisted of a wooden pole (50 cm high, 0.5 cm in diameter). Mice were placed on the upper part of the pole with their head looking up, and were pre-trained with the pole to ensure that all animals would turn head down. During the pole test, the total time it takes for a mouse to turn around and then get from the top to the bottom is measured. Additionally, each mouse was scored on a scale of 1–7 for the time and method of descending, with 1 being the best score: (1) 2–10s latency, (2) 11–20s latency, (3): 21–30s latency, (4) 31–40 latency, (5) sliding down the pole without control, (6), freezing and never descending the pole, (7) falling off the pole immediately or when trying to turn and descend at any time.

The adhesive removal test (Bouet et al., 2009):

A small adhesive tape strips (0.3 cm × 0.4 cm) was applied on each forepaw of the animal. For each mouse, the time-to-remove the tape was measured for each paw and averaged across.

Stride length test (Wertman et al., 2019):

The apparatus consists of a long Plexiglas corridor (2.5 in. wide, 3 in. high, and 13 in. long), placed on a sheet of paper, leading to a safe dark location. A traditional lamp (with a 60-watt incandescent bulb) was applied to provide an aversive stimulus at the starting point. All mice were trained to walk from the bright light point towards the dark safe location. Footprints were analyzed by painting a mouse’s feet with non-toxic washable paint and allowing the subject to walk through a tunnel on a sheet of paper. The stride length was averaged across 4–6 steps made along the corridor (not including the first and last footprints on the paper).

Balance beam: Balance Beam (Luong et al., 2011):

The apparatus consisted of a wooden beam and two vertical supports above a square escape box. A traditional lamp (with a 60-watt incandescent bulb) was applied to provide an aversive stimulus at the starting point. All mice were trained to walk or run from the bright light towards the dark home cage by traversing a beam. They were required to perform this act at least four times before formal recording. During the test, the average duration of the elapsed time to traverse the beam during five trials was calculated.

Experimental Design

Mice were examined for their baseline stride length, and were familiarized with the pole and balance beam tests. Ligand or vehicle treatment began 3 weeks prior to MPTP administration and continued throughout the experiment. The study included 6 experimental groups, with 3 experimental groups administered MPTP and 3 experimental groups serving as controls. Each of these subcategories were further divided into 3 experimental groups, mice receiving vehicle, 1,4-DHNA, or 3,7-DHNA. The experimental groups were: 1) No MPTP/Vehicle, n=15; 2) No MPTP/1,4-DHNA, n=16; 3) No MPTP/3,7-DHNA, n=8; 4) MPTP/Vehicle, n=21; 5) MPTP/1,4-DHNA, n=20; 6) MPTP/3,7-DHNA, n=16. Four weeks following MPTP administration mice were tested for their motor functions.

The experiment was performed in cohorts. In the earlier cohorts, we had mice receiving either vehicle or 1,4-DHNA prior to the administration of vehicle or MPTP. The cohorts included a larger number of mice receiving MPTP than mice receiving vehicle. This was done because we were worried about the possibility of toxicity and losing mice in the MPTP groups. This concern did not materialize, resulting in a larger group of MPTP mice. Additionally, the initial cohorts did not include 3,7-DHNA. Given animal rights concerns, we did not see a reason to include this control group until we verified that 1,4-DHNA indeed had an effect. 3,7-DHNA was included only in the last 2 cohorts, which resulted in a smaller number of total animals, but was still an acceptable sample size of 8 for mice receiving vehicle/3,7-DHNA and 16 for mice receiving MPTP/3,7-DHNA.

Data Analysis

For each behavioral test, data were analyzed using multivariate analysis of variance (MANOVA, IBM SPSE Statistics 29) for the between-group factors of MPTP and ligand treatment (vehicle, 1,4-DHNA, 3,7-DHNA), and within-group factors of time as applicable. Post hoc contrasts between each treatment group were conducted using the Bonferroni procedure. Differences with p-values of less than 0.05 were deemed statistically significant. Results are presented as mean ± SEM.

Results

Pole test (Fig 1A–C)

Fig 1. DHNA prevents MPTP-induced deficits in the pole and adhesive removal tests and is not mediated by AhR.

Fig 1.

Mice were treated with vehicle, 1,4-DHNA or 3,7-DHNA, and then were administered with MPTP or vehicle. Four weeks later they were tested for motor function in the pole test (A, B, C) and adhesive tape removal tests (D). (A) Time to turn in the pole test: a two-way ANOVA revealed a significant main effects of ligand treatment (F(2, 90)=7.352, p<0.001), and a significant interaction between MPTP and ligand treatment (F(2, 90)=4.834, p<0.01). (B) Time to descent in the pole test, no statistical significance was observed. (C) Score in the pole test: a two-way ANOVA revealed significant main effects of MPTP (F(1, 90)=9.937, p<0.001) and ligand treatment (F(2, 90)=4.280, p<0.01), and a significant interaction between MPTP and ligand treatment (F(2, 90)=7.090, p<0.001). (D) Time to remove the adhesive tape strips: a two-way ANOVA revealed significant main effects of MPTP (F(1, 65)=17.574, p<0.001) and ligand treatment (F(2, 65)=13.026, p<0.001), and a significant interaction between MPTP and ligand treatment (F(2, 65)=10.946, p<0.001). (*) Bonferroni post hoc contrast indicates a significant difference from vehicle-treated mice that were not administered MPTP (Veh/No MPTP) (p<0.05); (§) Bonferroni post hoc contrast indicates a significant difference from vehicle-treated mice that were administered MPTP (Veh/MPTP). Results are presented as mean ± SEM.

As expected, MPTP significantly increased the time to turn around (vehicle/No MPTP vs. vehicle/MPTP, p<0.01). Additionally, vehicle-treated mice exposed to MPTP exhibited a higher rate relative to controls to slide down the pole or freeze and never descend (vehicle/No MPTP vs. vehicle/MPTP, p<0.01). Neither 1,4-DHNA nor 3,7-DHNA had a significant effect the ability to turn and descend on the pole (vehicle/No MPTP vs. 1,4-DHNA/No MPTP, p>0.05 and vehicle/No MPTP vs. 3,7-DHNA/No MPTP, p>0.05). Moreover, both 1,4-DHNA and 3,7-DHNA prevented MPTP-induced deficits (vehicle/MPTP vs. 1,4-DHNA/MPTP, p<0.001 and vehicle/MPTP vs. 3,7-DHNA/MPTP, p<0.01).

Adhesive removal test (Fig 1D)

Similarly, MPTP significantly increased the time to remove the stickers from the paws (vehicle/No MPTP vs. vehicle/MPTP, p<0.001). Neither 1,4-DHNA nor 3,7-DHNA had a significant effect on the time to remove the stickers (vehicle/No MPTP vs. 1,4-DHNA/No MPTP, p>0.05 and vehicle/No MPTP vs. 3,7-DHNA/No MPTP, p>0.05). Additionally, both 1,4-DHNA and 3,7-DHNA prevented the MPTP-induced an increase in removal time (vehicle/MPTP vs. 1,4-DHNA/MPTP, p<0.001 and vehicle/MPTP vs. 3,7-DHNA/MPTP, p<0.001).

Stride length (Fig 2A)

Fig 2. DHNA prevents MPTP-induced impairment on gait and balance beam performance and is partially mediated by AhR.

Fig 2.

Mice were treated with vehicle, 1,4-DHNA or 3,7-DHNA, and then were administered with MPTP or vehicle. Four weeks later they were assessed for changes in their stride length from baseline (A) and time to cross the balance beam (B). (A) Changes in stride length from baseline: a two-way repeated ANOVA revealed a significant main effect of MPTP (F(1, 90)=11.846, p<0.001), and significant interactions between MPTP and ligand treatment (F(2, 90)=5.328, p<0.01), time and MPTP (F(1, 90)=18.394, p<0.001), time and ligand treatment (F(2, 90)=11.219, p<0.001), and time, MPTP, and ligand treatment (F(2, 90)=5.719, p<0.01). MPTP significantly decrease stride length (vehicle/No MPTP vs. vehicle/MPTP, p<0.01). (B) Time to cross the balance beam: a two-way ANOVA revealed a significant main effect of ligand treatment (F(2, 90)=6.249, p<0.01). (*) Bonferroni post hoc contrast indicates a significant difference from vehicle-treated mice that were not administered MPTP (Veh/No MPTP) (p<0.05); (§) Bonferroni post hoc contrast indicates a significant difference from vehicle-treated mice that were administered MPTP (Veh/MPTP). Results are presented as mean ± SEM.

MPTP significantly decreased stride length (vehicle/No MPTP vs. vehicle/MPTP, p<0.01, Fig 2A). Neither 1,4-DHNA nor 3,7-DHNA had significant effects on stride length (vehicle/No MPTP vs. 1,4-DHNA/No MPTP, p>0.05 and vehicle/No MPTP vs. 3,7-DHNA/No MPTP, p>0.01). 1,4-DHNA completely prevented the MPTP-induced decrease in stride length (vehicle/MPTP vs. 1,4-DHNA/MPTP, p<0.05). Although 3,7-DHNA had some partial effects, it did not completely prevent the MPTP-induced decrease in stride length. MPTP-exposed mice that were treated with 3,7-DHNA (i.e., 3,7-DHNA/ MPTP) were not significantly different from vehicle/MPTP mice (p>0.05), however, they did not significantly differ from either vehicle/no MPTP (p>0.05) nor 3,7-DHNA/no MPTP (p>0.05).

Balance Beam (Fig 2B)

MPTP did not have a significant effect on the time to cross the balance beam (vehicle/No MPTP vs. vehicle/MPTP, p>0.05). Similarly, neither 1,4-DHNA nor 3,7-DHNA had a significant effect on the time to cross the balance beam (vehicle/No MPTP vs. 1,4-DHNA/No MPTP, p>0.05 and vehicle/No MPTP vs. 3,7-DHNA/No MPTP, p>0.05). However, 1,4-DHNA, but not 3,7-DHNA, decreased the time to cross the beam in mice administered MPTP (vehicle/MPTP vs. 1,4-DHNA/MPTP, p<0.01).

Discussion

This study demonstrated that 1,4-DHNA can prevent MPTP-induced motor function deficits. Interestingly, it appears that 1,4-DHNA’s ability to mitigate various motor deficits is likely mediated via different underlying molecular mechanisms. PD patients exhibit bradykinesia, or slowness of movement, and hypokinesia, or abnormally decreased movement, that are not due to weakness (Schwab et al., 1959, Fahn, 2003). It was suggested that both symptoms might have the same origin, and that the reason for the longer movement duration is due to inadequate scaling of the motor command and reduced level of motor motivation (Mazzoni et al., 2012). Specifically, PD patients move slower because of alterations in motor control of speed selection, as they naturally select for lower speeds than healthy controls (Mazzoni et al., 2007). Additionally, PD causes the total movement duration to increase because the movement is initially scaled too short, requiring additional commands and corrective measures. Hence, PD patients exhibit significantly reduced stride length (Zanardi et al., 2021). In this study, MPTP reduced stride length, and this motor control deficit was prevented by 1,4-DHNA. In contrast, 3,7-DHNA was not as effective in preventing MPTP-induced reduction in stride length. Additionally, 1,4-DHNA, but not 3,7-DHNA, reduced the time to cross the balance beam. Thus, because 1,4-DHNA is an AhR agonist while 3,7-DHNA is inactive at the AhR (Cheng et al., 2017, Vermillion Maier et al., 2021), the results suggest that the AhR might play a role, in part, in the control of motor motivation, movement planning, and natural speed selection, as related to bradykinesia and shortened step length observed in PD.

PD patients suffer from rigidity which is experienced as a stiffness and resistance to passive movement. Although it is hard to attribute particular behavioral deficits to a certain deficit in motor control, rigidity was suggested to explain, at least in part, the impairment in fine motor function skills, dexterity, and motor coordination observed in PD patients (Norman et al., 2013, Dahdal et al., 2016). Removal of an adhesive strip requires certain levels of dexterity. Similarly, turning around on a very narrow pole and descending down in a controlled fashion requires certain motor coordination. Both 1,4-DHNA and 3,7-DHNA prevented the deficits in the motor pole test and in the adhesive strip removal test. This indicates that AhR is likely not mediating the beneficial effects of DHNA isomers in preventing MPTP-induced impartment in fine motor skills, and perhaps rigidity.

DHNA is a natural product of gut microbiota Propionibacterium freudenreichii and Lactobacillus casei (Bentley et al., 1982, Mori et al., 1997, Isawa et al., 2002). Interestingly, alterations in gut microbiome composition have been reported in PD patients and are induced by MPTP (Lai et al., 2018, Torres et al., 2018). Specifically, an enrichment of the genera Lactobacillus was observed in PD patients (Romano et al., 2021) and in a response to MPTP (Torres et al., 2018). This could represent an adaptation to increase levels of DHNA, and might further supports the hypothesis that pathological and mitigating process in the gut could play an essential role in the development of PD.

This study demonstrated that 1,4-DHNA counteracts the development of MPTP-induced motor deficits. Although MPTP is a widely used rodent model to precipitate symptoms resembling PD, it does not represent the etiology of the disorder and has limitations in its predictability. (Dauer et al., 2003, Huang et al., 2017, Konnova et al., 2018). For example, death of dopaminergic neurons in the substantia nigra is observed both in the MPTP model and in PD (Kopin et al., 1988), yet the etiology and timeline differ significantly. Specifically, PD takes years to manifest, while the effects of MPTP on dopaminergic neurons and symptoms appear within a short time (Donnan et al., 1987, Mori et al., 1988). The aim of this study was to establish that DHNA can prevent the motoric deficits caused by MPTP. Given the general timeline of the effects of MPTP, DHNA administration began 3 weeks prior to MPTP. Clearly, this study was not designed to establish a timeline, given the short timeline of symptom progression that does not resemble PD progression. Thus, future studies should examine DHNA using other PD models which better resemble the lengthy process of symptom precipitation to further establish the therapeutic potential of DHNA in PD and the ability of DHNA to reverse or prevent the progression of symptoms. Future studies should also closely examine 1,4-DHNA’s mechanism of action, including confirming the AhR-dependent therapeutic effects by examining its action in AhR knockout animals. Additionally, future studies should evaluate the action of other AhR ligands, including gut-derived tryptophan metabolites, in order to fully understand their therapeutic potential and to reveal the role of AhR and other signaling pathways in motor control and PD.

Acknowledgements

This work was supported, in part, by a grant from NIEHS P30ES029067 (SE, RSC, SS), by Seed Grant from the College of Arts and Sciences, Texas A&M University (SE), by NIH grant R35 CA197707 (RSC) and funds from the Allen Endowed Chair in Nutrition & Chronic Disease Prevention (RSC).

Footnotes

Conflict of Interest: The authors have no conflicts of interest.

References

  1. Abramow-Newerly W, Lipina T, Abramow-Newerly M, Kim D, Bechard AR, Xie G, et al. (2006). Methods to rapidly and accurately screen a large number of ENU mutagenized mice for abnormal motor phenotypes. Amyotroph Lateral Scler. 7: 112–118. [DOI] [PubMed] [Google Scholar]
  2. Ball N, Teo WP, Chandra S, Chapman J (2019). Parkinson’s Disease and the Environment. Front Neurol. 10: 218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Barroso A, Mahler JV, Fonseca-Castro PH, Quintana FJ (2021). The aryl hydrocarbon receptor and the gut-brain axis. Cellular & molecular immunology. 18: 259–268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Beal MF (2003). Mitochondria, oxidative damage, and inflammation in Parkinson’s disease. Ann N Y Acad Sci. 991: 120–131. [DOI] [PubMed] [Google Scholar]
  5. Bentley R, Meganathan R (1982). Biosynthesis of vitamin K (menaquinone) in bacteria. Microbiol Rev. 46: 241–280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bessede A, Gargaro M, Pallotta MT, Matino D, Servillo G, Brunacci C, et al. (2014). Aryl hydrocarbon receptor control of a disease tolerance defence pathway. Nature. 511: 184–190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bouet V, Boulouard M, Toutain J, Divoux D, Bernaudin M, Schumann-Bard P, et al. (2009). The adhesive removal test: a sensitive method to assess sensorimotor deficits in mice. Nat Protoc. 4: 1560–1564. [DOI] [PubMed] [Google Scholar]
  8. Cheng Y, Jin U-H, Davidson LA, Chapkin RS, Jayaraman A, Tamamis P, et al. (2017). Editor’s Highlight: Microbial-Derived 1,4-Dihydroxy-2-naphthoic Acid and Related Compounds as Aryl Hydrocarbon Receptor Agonists/Antagonists: Structure-Activity Relationships and Receptor Modeling. Toxicological sciences : an official journal of the Society of Toxicology. 155: 458–473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Cryan JF, O’Riordan KJ, Sandhu K, Peterson V, Dinan TG (2020). The gut microbiome in neurological disorders. Lancet Neurol. 19: 179–194. [DOI] [PubMed] [Google Scholar]
  10. Dahdal P, Meyer A, Chaturvedi M, Nowak K, Roesch AD, Fuhr P, et al. (2016). Fine Motor Function Skills in Patients with Parkinson Disease with and without Mild Cognitive Impairment. Dement Geriatr Cogn Disord. 42: 127–134. [DOI] [PubMed] [Google Scholar]
  11. Dauer W, Przedborski S (2003). Parkinson’s disease: mechanisms and models. Neuron. 39: 889–909. [DOI] [PubMed] [Google Scholar]
  12. Day JO, Mullin S (2021). The Genetics of Parkinson’s Disease and Implications for Clinical Practice. Genes (Basel). 12: 1006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Debler RA, Madison CA, Hillbrick L, Gallegos P, Safe S, Chapkin RS, et al. (2023). Selective aryl hydrocarbon receptor modulators can act as antidepressants in obese female mice. J Affect Disord 333: 409–419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Donnan GA, Willis GL, Kaczmarczyk SJ, Rowe P (1987). Motor function in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-treated mouse. J Neurol Sci. 77: 185–191. [DOI] [PubMed] [Google Scholar]
  15. Fahn S (2003). Description of Parkinson’s disease as a clinical syndrome. Ann N Y Acad Sci. 991: 1–14. [DOI] [PubMed] [Google Scholar]
  16. Fathi M, Vakili K, Yaghoobpoor S, Tavasol A, Jazi K, Hajibeygi R, et al. (2022). Dynamic changes in metabolites of the kynurenine pathway in Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease: A systematic Review and meta-analysis. Front Immunol. 13: 997240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Gold A, Turkalp ZT, Munoz DG (2013). Enteric alpha-synuclein expression is increased in Parkinson’s disease but not Alzheimer’s disease. Mov Disord. 28: 237–240. [DOI] [PubMed] [Google Scholar]
  18. González-Barbosa E, García-Aguilar R, Vega L, Cabañas-Cortés MA, Gonzalez FJ, Segovia J, et al. (2019). Parkin is transcriptionally regulated by the aryl hydrocarbon receptor: Impact on α-synuclein protein levels. Biochem Pharmacol. 168: 429–437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Grifka-Walk HM, Jenkins BR, Kominsky DJ (2021). Amino Acid Trp: The Far Out Impacts of Host and Commensal Tryptophan Metabolism. Front Immunol. 12: 653208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Holmqvist S, Chutna O, Bousset L, Aldrin-Kirk P, Li W, Björklund T, et al. (2014). Direct evidence of Parkinson pathology spread from the gastrointestinal tract to the brain in rats. Acta Neuropathol. 128: 805–820. [DOI] [PubMed] [Google Scholar]
  21. Huang D, Xu J, Wang J, Tong J, Bai X, Li H, et al. (2017). Dynamic Changes in the Nigrostriatal Pathway in the MPTP Mouse Model of Parkinson’s Disease. Parkinsons Dis. 2017: 9349487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Isawa K, Hojo K, Yoda N, Kamiyama T, Makino S, Saito M, et al. (2002). Isolation and identification of a new bifidogenic growth stimulator produced by Propionibacterium freudenreichii ET-3. Biosci Biotechnol Biochem. 66: 679–681. [DOI] [PubMed] [Google Scholar]
  23. Kim S, Kwon SH, Kam TI, Panicker N, Karuppagounder SS, Lee S, et al. (2019). Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease. Neuron. 103: 627–641.e627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Konnova EA, Swanberg M (2018). Animal Models of Parkinson’s Disease.In: Parkinson’s Disease: Pathogenesis and Clinical Aspects.Stoker TB and Greenland JC (editors). Brisbane (AU): Codon Publications; pp. 83–106. [Google Scholar]
  25. Kopin IJ, Markey SP (1988). MPTP toxicity: implications for research in Parkinson’s disease. Annu Rev Neurosci. 11: 81–96. [DOI] [PubMed] [Google Scholar]
  26. Lai F, Jiang R, Xie W, Liu X, Tang Y, Xiao H, et al. (2018). Intestinal Pathology and Gut Microbiota Alterations in a Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) Mouse Model of Parkinson’s Disease. Neurochem Res. 43: 1986–1999. [DOI] [PubMed] [Google Scholar]
  27. Lee HU, McPherson ZE, Tan B, Korecka A, Pettersson S (2017). Host-microbiome interactions: the aryl hydrocarbon receptor and the central nervous system. J Mol Med (Berl). 95: 29–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Lim KL, Ng XH, Grace LG, Yao TP (2012). Mitochondrial dynamics and Parkinson’s disease: focus on parkin. Antioxid Redox Signal. 16: 935–949. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Luong TN, Carlisle HJ, Southwell A, Patterson PH (2011). Assessment of motor balance and coordination in mice using the balance beam. J Vis Exp. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Madison CA, Debler RA, Vardeleon NI, Hillbrick L, Jayaraman A, Safe S, et al. (2022a). Sex-dependent differences in the stress mitigating and antidepressant effects of selective aryl hydrocarbon receptor modulators. Journal of Affective Disorders. 319: 213–220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Madison CA, Hillbrick L, Kuempel J, Albrecht GL, Landrock KK, Safe S, et al. (2023). Intestinal epithelium aryl hydrocarbon receptor is involved in stress sensitivity and maintaining depressive symptoms. Behav Brain Res. 440: 114256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Madison CA, Kuempel J, Albrecht GL, Hillbrick L, Jayaraman A, Safe S, et al. (2022b). 3,3’-Diindolylmethane and 1,4-dihydroxy-2-naphthoic acid prevent chronic mild stress induced depressive-like behaviors in female mice. J Affect Disord. 309: 201–210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Maguire-Zeiss KA, Short DW, Federoff HJ (2005). Synuclein, dopamine and oxidative stress: co-conspirators in Parkinson’s disease? Molecular Brain Research. 134: 18–23. [DOI] [PubMed] [Google Scholar]
  34. Marras C, Beck JC, Bower JH, Roberts E, Ritz B, Ross GW, et al. (2018). Prevalence of Parkinson’s disease across North America. NPJ Parkinsons Dis. 4: 21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Mazzoni P, Hristova A, Krakauer JW (2007). Why don’t we move faster? Parkinson’s disease, movement vigor, and implicit motivation. J Neurosci. 27: 7105–7116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Mazzoni P, Shabbott B, Cortés JC (2012). Motor control abnormalities in Parkinson’s disease. Cold Spring Harb Perspect Med. 2: a009282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Mori H, Sato Y, Taketomo N, Kamiyama T, Yoshiyama Y, Meguro S, et al. (1997). Isolation and structural identification of bifidogenic growth stimulator produced by Propionibacterium freudenreichii. J Dairy Sci. 80: 1959–1964. [DOI] [PubMed] [Google Scholar]
  38. Mori S, Fujitake J, Kuno S, Sano Y (1988). Immunohistochemical evaluation of the neurotoxic effects of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) on dopaminergic nigrostriatal neurons of young adult mice using dopamine and tyrosine hydroxylase antibodies. Neurosci Lett. 90: 57–62. [DOI] [PubMed] [Google Scholar]
  39. Norman KE, Héroux ME (2013). Measures of fine motor skills in people with tremor disorders: appraisal and interpretation. Front Neurol. 4: 50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Olivares D, Huang X, Branden L, Greig NH, Rogers JT (2009). Physiological and pathological role of alpha-synuclein in Parkinson’s disease through iron mediated oxidative stress; the role of a putative iron-responsive element. Int J Mol Sci. 10: 1226–1260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Opitz CA, Litzenburger UM, Sahm F, Ott M, Tritschler I, Trump S, et al. (2011). An endogenous tumour-promoting ligand of the human aryl hydrocarbon receptor. Nature. 478: 197–203. [DOI] [PubMed] [Google Scholar]
  42. Ou Z, Pan J, Tang S, Duan D, Yu D, Nong H, et al. (2021). Global Trends in the Incidence, Prevalence, and Years Lived With Disability of Parkinson’s Disease in 204 Countries/Territories From 1990 to 2019. Front Public Health. 9: 776847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Park H, Jin UH, Karki K, Jayaraman A, Allred C, Michelhaugh SK, et al. (2020). Dopamine is an aryl hydrocarbon receptor agonist. Biochem J. 477: 3899–3910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Qin W, Shi Y, Chen W, Jia X, Asakawa T (2022). Can kynurenine pathway be considered as a next-generation therapeutic target for Parkinson’s disease? An update information. Biosci Trends. 16: 249–256. [DOI] [PubMed] [Google Scholar]
  45. Ransom BR, Kunis DM, Irwin I, Langston JW (1987). Astrocytes convert the parkinsonism inducing neurotoxin, MPTP, to its active metabolite, MPP+. Neurosci Lett. 75: 323–328. [DOI] [PubMed] [Google Scholar]
  46. Romano S, Savva GM, Bedarf JR, Charles IG, Hildebrand F, Narbad A (2021). Meta-analysis of the Parkinson’s disease gut microbiome suggests alterations linked to intestinal inflammation. NPJ Parkinsons Dis. 7: 27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Safe S (2017). Carbidopa: a selective Ah receptor modulator (SAhRM). Biochem J. 474: 3763–3765. [DOI] [PubMed] [Google Scholar]
  48. Safe S, Han H, Goldsby J, Mohankumar K, Chapkin RS (2018). Aryl Hydrocarbon Receptor (AhR) Ligands as Selective AhR Modulators: Genomic Studies. Curr Opin Toxicol. 11–12: 10–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Safe S, Jin UH, Park H, Chapkin RS, Jayaraman A (2020). Aryl Hydrocarbon Receptor (AHR) Ligands as Selective AHR Modulators (SAhRMs). Int J Mol Sci. 21: 6654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Schwab RS, England AC, Peterson E (1959). Akinesia in Parkinson’s disease. Neurology. 9: 65–72. [DOI] [PubMed] [Google Scholar]
  51. Simon DK, Tanner CM, Brundin P (2020). Parkinson Disease Epidemiology, Pathology, Genetics, and Pathophysiology. Clin Geriatr Med. 36: 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Stockinger B, Shah K, Wincent E (2021). AHR in the intestinal microenvironment: safeguarding barrier function. Nat Rev Gastroenterol Hepatol. 18: 559–570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Subramaniam SR, Chesselet M-F (2013). Mitochondrial dysfunction and oxidative stress in Parkinson’s disease. Progress in Neurobiology. 106–107: 17–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Torres ERS, Akinyeke T, Stagaman K, Duvoisin RM, Meshul CK, Sharpton TJ, et al. (2018). Effects of Sub-Chronic MPTP Exposure on Behavioral and Cognitive Performance and the Microbiome of Wild-Type and mGlu8 Knockout Female and Male Mice. Front Behav Neurosci. 12: 140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Twelves D, Perkins KS, Counsell C (2003). Systematic review of incidence studies of Parkinson’s disease. Mov Disord. 18: 19–31. [DOI] [PubMed] [Google Scholar]
  56. Venkatesan D, Iyer M, Narayanasamy A, Siva K, Vellingiri B (2020). Kynurenine pathway in Parkinson’s disease-An update. eNeurologicalSci. 21: 100270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Vermillion Maier ML, Siddens LK, Uesugi SL, Choi J, Leonard SW, Pennington JM, et al. (2021). 3,3’-Diindolylmethane Exhibits Significant Metabolism after Oral Dosing in Humans. Drug Metab Dispos. 49: 694–705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Wertman V, Gromova A, La Spada AR, Cortes CJ (2019). Low-Cost Gait Analysis for Behavioral Phenotyping of Mouse Models of Neuromuscular Disease. J Vis Exp. 18: 149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Zanardi APJ, da Silva ES, Costa RR, Passos-Monteiro E, Dos Santos IO, Kruel LFM, et al. (2021). Gait parameters of Parkinson’s disease compared with healthy controls: a systematic review and meta-analysis. Sci Rep. 11: 752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Zhu M, Liu X, Ye Y, Yan X, Cheng Y, Zhao L, et al. (2022). Gut Microbiota: A Novel Therapeutic Target for Parkinson’s Disease. Front Immunol. 13: 937555. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES