1. Introduction
Alzheimer’s disease (AD), the predominant subtype of neurodegenerative dementia, is characterized by intricate and multifaceted pathophysiology, encompassing the aberrant deposition of amyloid-beta (Aβ) plaques, the formation of neurofibrillary tangles comprising hyperphosphorylated tau protein, persistent chronic neuroinflammation, and exacerbated oxidative stress [
1,
2]. Currently, few disease-modifying therapies have gained clinical approval for AD. This unmet clinical urgency underscores an imperative demand for validated and reliable biomarkers to enable early diagnoses and precise pathological staging, which are fundamentally prerequisite for accelerating mechanistic research progress and optimizing standardized clinical management of AD [
3,
4]. Although emerging therapeutic avenues, including terahertz technology and nanoplatform-based systems, have been explored for AD intervention across multiple contemporary investigations [
5,
6,
7], the existing treatments predominantly exert only symptomatic relief rather than reverse the disease process. Accordingly, it remains an urgent clinical imperative to develop innovative interventions capable of arresting or reversing progressive neurodegeneration, thereby achieving fundamental therapeutic efficacy against AD.
Growing understanding of the microbiota–gut–brain axis (MGBA) has confirmed that a stable gut microbiota balance plays a key role in maintaining normal neurological function. Increasing evidence shows that disrupted gut health worsens core AD pathologies such as abnormal Aβ buildup, elevated phosphorylated tau levels, chronic neuroinflammation and oxidative damage. For this reason, more research attention has focused on probiotics as a promising approach to modify underlying disease progression rather than merely relieve AD symptoms [
8,
9]. Accumulating evidence has validated the multifaceted protective properties of probiotics, rendering them a promising therapeutic candidate against the pathological progression of AD. Mechanistically, probiotics exert potent neuroprotective effects, mainly via regulating the microbiota–gut–brain axis. Such beneficial actions are achieved through multiple core pathways: suppressing neuroinflammation, modulating amyloid-β metabolic homeostasis, elevating the expression levels of neurotrophic factors, and maintaining the structural and functional integrity of the blood–brain barrier [
10].
Mounting preclinical evidence accumulated from diverse experimental disease models strongly underscores the substantial therapeutic potential of probiotics as a multi-targeted and multifaceted intervention strategy against AD. Representative beneficial strains, including
Lactobacillus species and
Bifidobacterium species, have been consistently validated to effectively ameliorate AD-related behavioral impairments in cognitive and motor functions, while concurrently alleviating core neuropathological hallmarks that define the progressive neurodegenerative progression of AD [
11]. Accumulating mechanistic investigations employing the
C. elegans model have further broadened and enriched the existing spectrum of neuroprotective probiotic resources against AD pathogenesis. These comprehensive studies have solidly validated that a panel of additional functional bacterial strains, including
Lacticaseibacillus rhamnosus,
Pediococcus parvulus,
Bacillus subtilis, and
Lactococcus laudensis, are capable of exerting potent protective effects and effectively mitigating the emergence and progression of AD-like pathological alterations in vivo. Notably, the consistent and reproducible beneficial therapeutic outcomes observed across evolutionarily distant model organisms—encompassing mammalian systems alongside the simple
C. elegans—substantially reinforces the biological rationality and reliability of probiotic-mediated anti-neurodegenerative efficacy [
12,
13,
14].
Rhodopseudomonas pseudopalustris remains poorly characterized. In contrast, its closely related species
Rhodopseudomonas palustris, a purple non-sulfur bacterium, harbors a single circular chromosome of approximately 5.4 Mbp. This well-studied species exhibits a strong adaptability to illuminated agricultural wastewaters, primarily attributed to its versatile metabolic capacity to utilize a broad spectrum of organic compounds derived from plant and animal residues. As a model microorganism,
R. palustris has been extensively used in basic research investigating photophosphorylation, light-harvesting systems, nitrogen fixation, the anaerobic catabolism of aromatic compounds, and iron oxidation. Furthermore, its versatile metabolic network, capacity for light-driven adenosine triphosphate (ATP) synthesis, and exceptional persistence under growth-arrested conditions render it a promising chassis strain for biotechnological applications [
15]. Nevertheless, to date, the functional roles and biological relevance of
R. palustris and
R. pse in AD pathogenesis remain entirely undocumented.
Here, we demonstrate that R. pse alleviates AD pathology by rescuing learning deficits and paralysis in C. elegans. R. pse enhances the expression of the enzyme GCS-1, and a mutation of MSRA-1 blocks the amelioration of the AD model by R. pse; however, methionine supplementation restores the MSRA-1 mutant phenotype. R. pse may enhance the innate immunity via an enhanced TGF-β signal. Metabolomic profiling identified pantothenic acid as a bioactive metabolite of R. pse that mediates its anti-AD effects.
2. Materials and Methods
2.1. C. elegans Strains and Culture
All
C. elegans strains were cultured at 20 °C. The worms were grown on standard NGM (nematode growth medium) agar plates seeded with
Escherichia coli (
E. coli) OP50 [
16]. The
C. elegans strains used in this study are listed in
Table 1.
2.2. Bacterial Strains and Growth Conditions
The bacterial strains utilized in this investigation were E. coli OP50 and R. pse. Glycerol stocks of these strains were stored at −80 °C. Isolated R. pse colonies were obtained by streaking the glycerol stocks onto NGM agar plates and incubating at 28 °C for 96 h. Single colonies of R. pse were then picked and inoculated into 1 mL of TSB (tryptic soy broth medium), followed by incubation at 28 °C for 96 h. The control E. coli OP50 was cultured under the same conditions as R. pse, except for a cultivation duration of 24 h. The dilution procedure was performed as follows: 500 μL of R. pse culture was added to 500 μL of OP50 culture to achieve a 1:1 (v/v) dilution. This bacterial mixture was used for all subsequent experiments.
2.3. Paralysis Assay
Paralysis assays were performed using the C. elegans strain GMC101 cultured at 20 °C. The GMC101 strain expresses the full-length human Aβ1-42 peptide in body wall muscle cells and exhibits a paralysis phenotype, which enables rapid phenotypic screening. Synchronized L4-stage worms (n = 4) were first transferred onto NGM plates seeded with either E. coli OP50 or OP50 + R. pse and incubated for 4 days. More than 30 healthy L4-stage worms were then selected and transferred to fresh NGM plates containing the same bacterial strain. The worms were subsequently subjected to heat shock at 25 °C for 24 h in a temperature-controlled incubator. Paralysis was scored 24 h post-treatment using a standardized assay: worms were classified as paralyzed if gentle head stimulation with a platinum wire elicited no response, failed to induce withdrawal within 3 s, or produced only slight head movements without body displacement. The paralysis rate was calculated as the percentage of paralyzed worms relative to the total number of worms assayed.
2.4. 16S rRNA Sequence
The 16S rRNA gene of R. pse was amplified via polymerase chain reaction (PCR) with the universal bacterial primers 341F (5′-ACTCCTACGGGAGGCAGCAG-3′) and 806R (5′-GGACTACCAGGGTATCTAAT-3′).
2.5. Non-Associative Learning Assay
Non-associative learning assays were performed using the C. elegans strains GRU101 and GRU102. The GRU102 strain drives the pan-neuronal expression of Aβ1-42, with GRU101 serving as its control strain, and it is suitable for investigating learning and memory abilities. Four L4-stage C. elegans were first transferred to NGM plates seeded with either OP50 or OP50 + R. pse and allowed to develop at 20 °C (consistent with the culture temperature in the paralysis assays). After 4 days, approximately 30 healthy L4 larvae were selected and transferred to fresh NGM plates containing the same bacterial food source. Upon reaching Day 1 of adulthood, the worms were subjected to a learning and memory assay. Each animal was first placed on an unseeded NGM plate for 30 s to acclimate to the environment. Subsequently, the tip of a sterile eyebrow hair was used to gently touch the worm’s head, triggering a backward retreat response. After the worm resumed forward locomotion, the tactile stimulus was repeated; this cycle was continued until the worm failed to exhibit a withdrawal response. The total number of touches recorded per animal was defined as the habituation learning index.
2.6. Food Choice Assay
Bacterial preference assays were performed using 3 cm diameter NGM agar plates. A reference line was drawn through the center of each plate to divide it into two equal halves. Subsequently, 2.5 µL aliquots of OP50 and R. pse bacterial suspensions, standardized to equivalent cell densities, were symmetrically spotted onto the two halves of the medium. More than 20 synchronized Day 1-stage GMC101 worms were carefully transferred to the exact center of each assay plate. Following incubation for the predetermined duration, the number of worms present at each bacterial spot (including those in direct contact with the bacterial lawn) was counted to quantify the bacterial preference.
2.7. Fecundity Assay
Individual L4-stage GMC101 (pre-cultured for one generation on plates seeded with the respective bacterial strains) worms (n = 3) were transferred to NGM plates seeded with either OP50 or OP50 + R. pse as the bacterial food source. Egg-laying was monitored daily starting from Day 1 of adulthood (24 h post-L4 stage). Each day, following quantification of the number of eggs laid per worm, the worms were transferred to fresh NGM plates containing the corresponding bacterial strain to ensure consistent food availability and eliminate the confounding effects of residual eggs or bacterial depletion. This daily transfer and egg-counting protocol was continued until the worms ceased egg production entirely. The total lifetime fecundity was calculated as the cumulative number of eggs laid per individual worm over the entire reproductive period.
2.8. Growth Rate Assay
Five Day-1 adult GMC101 worms were transferred to NGM plates seeded with either OP50 or OP50 + R. pse and allowed to lay eggs at 20 °C for 5 h. Following the egg-laying period, adult worms were carefully removed from the plates to avoid confounding effects of parental presence or bacterial depletion. After a 3-day incubation period at the same temperature (20 °C), the developmental stage of the resulting progeny was scored: each larva was categorized as either ≥L4 stage (i.e., L4 larva or young adult) or <L4 stage (i.e., L1–L3 larva). The developmental rate was calculated as the percentage of progenies that reached the ≥L4 stage relative to the total number of viable progenies assayed.
2.9. Motor Ability Assay
The locomotor capacity was assessed in GMC101 and N2 progenies reared on NGM plates seeded with either OP50 or OP50 + R. pse. Briefly, four L4-stage larvae were initially transferred to freshly seeded NGM plates and cultured at 20 °C. After 4 days, approximately 25 healthy L4-stage offspring were selected and transferred to fresh NGM plates containing the same bacterial food source. On Day 1 of adulthood, individual worms were gently placed in 100 µL droplets of M9 buffer on glass slides and allowed 30 s to acclimate to the liquid environment. The number of complete sinusoidal body waves (full oscillations) executed by each worm during the subsequent 30 s was quantified; partial head or tail movements that did not constitute a full body wave were excluded from the count.
2.10. Heat Stress Assay
Four L4-stage C. elegans larvae were transferred to NGM plates seeded with either OP50 or OP50 + R. pse. and cultured at 20 °C. After 4 days, at least 30 healthy L4-stage progenies were selected and transferred to fresh NGM plates containing the same bacterial food source, followed by an additional 24 h of incubation at 30 °C for GMC101. N2 wild-type animals were exposed to 35 °C for 4 h at the Day 1 adult stage (strain-specific heat stress conditions). Following the respective heat treatments, the survival rates were quantified as the number of live worms relative to the total number of worms, and the data were statistically analyzed to assess the strain-specific thermotolerance.
2.11. R. pse Functional Part Assay
Single colonies of OP50 or R. pse were inoculated into 15 mL of TSB medium and cultured at 28 °C for 24 h and 96 h, respectively. The bacterial cultures were then centrifuged at 13,000 rpm for 5 min. The resulting bacterial pellets were retained, while the supernatants were re-centrifuged and filter-sterilized through a 0.22 µm membrane filter. For the OP50-pellet group, the OP50 pellet was resuspended in 500 µL of ddH2O; 50 µL of this suspension was mixed with 150 µL of sterile R. pse supernatant, and 60 µL of the mixture was spread onto NGM plates. For the heat-inactivated R. pse-pellet group, the R. pse pellet was autoclaved (121 °C, 20 min), then resuspended in 500 µL of ddH2O; 150 µL of the inactivated pellet suspension was combined with 50 µL of OP50 suspension, and the 60 µL mixture was plated onto NGM plates.
2.12. Fluorescence Microscopy and Visualization Assay
A 3% (w/v) agarose solution was prepared by microwave-heating until completely dissolved, then briefly cooled to approximately 50 °C. A small volume of molten agarose was dispensed onto a glass slide using a weighing spatula, and a second glass slide was placed on top to press the solution into a uniform pad (~1 mm in thickness). After 10 s of solidification, the upper slide was carefully removed to expose the agarose pad. A 4× working solution of levamisole was prepared by diluting a 10× stock solution (1 mg/mL) in ddH2O. A 2.5 μL aliquot of this anesthetic solution was pipetted onto the center of the agarose pad. Worms at the appropriate developmental stage were picked using a platinum wire pick, transferred to the anesthetic-treated agarose pad, and fully immersed in the solution. A coverslip was then gently placed over the sample to ensure an even distribution of the worms and solution. Fluorescence imaging was performed using a Zeiss Imager M2 microscope (Carl Zeiss Microscopy GmbH, Jena, Germany) equipped with filter sets 20 (Rhodamine) and 38 (Endow GFP). wyIs50120 strain fluorescence imaging was performed using a Zeiss LSM 980 confocal microscope with Airyscan 2 (Carl Zeiss Microscopy GmbH, Jena, Germany). The acquired images were analyzed using the ImageJ software (Version: 2.14.0/1.54g) to quantify the fluorescence intensity.
2.13. Metabolomic Sample Preparation of R. pse
Single colonies of OP50 or R. pse were inoculated into 40 mL of TSB medium and incubated at 28 °C for 24 h and 96 h, respectively. Bacterial cultures were centrifuged at 13,000 rpm for 5 min; the supernatant was discarded, and centrifugation was repeated under identical conditions. The resulting bacterial pellet was resuspended, washed with ddH2O, and centrifuged again. This washing procedure was repeated a total of three times to remove residual medium components. The final bacterial pellet was stored at −80 °C until the analysis.
2.14. Metabolome Analysis of R. pse
The final dataset, containing the information of the feature number, sample name and normalized feature area, was imported to the SIMCA18.0.1 software package (Sartorius Stedim Data Analytics AB, Umea, Sweden) for a multivariate analysis. The data were scaled and logarithmically transformed to minimize the impact of both noise and high variance of the variables. After these transformations, a PCA (principal component analysis), an unsupervised analysis that reduces the dimension of the data, was carried out to visualize the distribution and the grouping of the samples. The 95% confidence interval in the PCA score plot was used as the threshold to identify potential outliers in the dataset.
In order to visualize group separation and find significantly changed metabolites, a supervised orthogonal projections to latent structures discriminate analysis (OPLS-DA) was applied. Then, 7-fold cross-validation was performed to calculate the value of R2 and Q2. R2 indicates how well the variation of a variable is explained and Q2 means how well a variable can be predicted. To check the robustness and predictive ability of the OPLS-DA model, 200 times permutations were further conducted. Afterward, the R2 and Q2 intercept values were obtained. Here, the intercept value of Q2 represents the robustness of the model, the risk of overfitting and the reliability of the model; the smaller the better.
Furthermore, the value of variable importance in the projection (VIP) of the first principal component in the OPLS-DA analysis was obtained. It summarizes the contribution of each variable to the model. The metabolites with a VIP > 1 and p < 0.05 were considered as significantly changed metabolites. In addition, commercial databases, including KEGG and MetaboAnalyst, were used for the pathway enrichment analysis.
2.15. Drug Treatment
Pantothenic acid was dissolved in DMSO to prepare a 100 mM stock solution, which was stored at −20 °C until use. Prior to the experiment, the stock solution was diluted with liquid OP50 culture medium to a 10 μM working concentration. For plate preparation, 60 μL of the diluted mixture was evenly spread onto each NGM plate.
2.16. Statistical Analysis
All statistical analyses were performed using the GraphPad Prism 9.0 software. For comparisons between two independent groups, two-tailed unpaired
t-tests were utilized to evaluate the statistical significance of differences. For comparisons involving three or more groups, a one-way analysis of variance (one-way ANOVA) was employed to detect significant differences among groups [
17]. Tukey’s multiple comparisons test was applied to correct for multiple comparisons following the one-way ANOVA. All statistical analyses were conducted with a conventional significance threshold of α = 0.05, where a
p-value < 0.05 was considered statistically significant. Statistically significant results in all figures are denoted using standardized graphical notations: *
p < 0.05, **
p < 0.01, ***
p < 0.001, and ****
p < 0.0001. Non-significant results (
p > 0.05) are marked as “ns” (not significant).
4. Discussion
In the present study, we identified R. pse as a beneficial bacterium capable of alleviating pathological deficits in C. elegans models of AD, suggesting R. pse as a promising microbial candidate for counteracting Aβ-mediated toxicity and cognitive dysfunction in vivo.
Phenotypic characterization revealed that R. pse exhibited a comparable growth status and food preference and no adverse effects on brood size or developmental timing relative to the standard laboratory food strain E. coli OP50, supporting its biosafety and suitability as a dietary intervention in C. elegans. Mechanistically, the neuroprotection conferred by R. pse requires viable bacteria or heat-labile cellular components rather than secreted extracellular factors.
Oxidative stress is a well-established core pathogenic mechanism underlying AD progression. Our results demonstrated that R. pse upregulated the expression of gcs-1, which encodes a key antioxidant enzyme involved in glutathione biosynthesis, indicating the activation of antioxidant defenses. Moreover, the neuroprotective effect of R. pse was abolished in the msra-1 mutant, which is defective in repairing protein oxidation caused by ROS, and could be restored by exogenous methionine supplementation. These data highlight that the MSRA-1-mediated protein oxidation repair pathway is essential for R. pse to mitigate oxidative damage and Aβ-induced toxicity.
Beyond antioxidant signaling, we further revealed that R. pse activated innate immune pathways associated with neuroprotection. The R. pse treatment increased the nuclear expression of ATF-7, a key transcription factor downstream of the p38 MAPK immune signaling cascade. Additionally, R. pse elevated the expression of daf-7, a ligand in the TGF-β immune pathway. These results suggest that R. pse exerts neuroprotection not only by enhancing the cellular resistance to oxidative stress, but also by modulating innate immune signaling, which has been closely linked to the clearance of protein aggregates and maintenance of neuronal homeostasis. Nevertheless, our current study only confirmed the activation of the ATF-7 and TGF-β signaling pathways, yet we have not verified through genetic or pharmacological inhibition assays that immune signals are essential for the neuroprotective effects of R. pse. Therefore, the activation of immune pathways only shows a correlative relationship, and the causal relationship remains to be confirmed.
Moreover, untargeted metabolomic profiling further revealed distinct metabolic signatures between R. pse and OP50, with hundreds of differentially abundant metabolites, implying that specific microbial metabolites may contribute to the observed beneficial effects. Subsequent screening of candidate metabolites identified pantothenic acid as a functional metabolite enriched in R. pse, supporting the notion that metabolic components underpin its protective activity against AD-related phenotypes. However, given the limited scope of the screened metabolites, pantothenic acid may only act as a partial mediator of R. pse activity rather than the sole effector molecule. Other unselected metabolites may also participate in this biological process.
The limitations of this study should be acknowledged. First, the present study did not directly assess the Aβ aggregation status, oligomer accumulation or its clearance mechanism. It remains unclear whether R. pse exerts upstream effects by directly inhibiting Aβ aggregation or functions downstream by enhancing organismal stress resistance. Second, all experiments were conducted exclusively in C. elegans models of AD. Due to the restriction of our model and experiment designs, whether R. pse can exert sustained neuroprotective effects throughout the aging process remains to be further investigated. Third, although this invertebrate system offers powerful advantages for mechanistic dissection and genetic screening, it lacks the complex brain architecture and adaptive immune responses that characterize the mammalian nervous system. Therefore, the translational relevance of our findings to human AD remains inherently limited. The results presented here should be viewed as hypothesis-generating, and any extrapolation to mammalian pathophysiology warrants caution. Future studies will be necessary to validate the key observations in established mammalian AD models, such as transgenic mouse lines, in order to evaluate the conservation of the identified mechanisms and their potential therapeutic relevance.
In summary, our study demonstrates that R. pse mitigates Aβ-induced paralysis and cognitive impairment in C. elegans through multiple coordinated mechanisms, including the enhancement of antioxidative stress responses via the GCS-1 and MSRA-1 pathways, and the activation of p38 MAPK/ATF-7 and TGF-β/DAF-7 immune signaling. These findings expand our understanding of the microbial regulation of neurodegenerative pathology and support the potential application of R. pse as an intervention for AD-related pathogenesis.