Journal of Animal Science and Technology
Korean Society of Animal Sciences and Technology

Gut microbiota profiling in aged dogs after feeding pet food contained Hericium erinaceus

Hyun-Woo Cho1,#, Soyoung Choi1,#, Kangmin Seo1, Ki Hyun Kim1, Jung-Hwan Jeon1, Chan Ho Kim1, Sejin Lim1, Sohee Jeong1, Ju Lan Chun1,*
National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea
*Corresponding author: Ju Lan Chun, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea. Tel: +82-63-238-7053, E-mail:

# These authors contributed equally to this work.

© Copyright 2022 Korean Society of Animal Science and Technology. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Aug 07, 2022; Revised: Aug 11, 2022; Accepted: Aug 11, 2022

Published Online: Sep 30, 2022


Health concern of dogs is the most important issue for pet owners. People who have companied the dogs long-term provide the utmost cares for their well-being and healthy life. Recently, it was revealed that the population and types of gut microbiota affect the metabolism and immunity of the host. However, there is little information on the gut microbiome of dogs. Hericium erinaceus (H. erinaceus; HE) is one of the well-known medicinal mushrooms and has multiple bioactive components including polyphenol, β-glucan, polysaccharides, ergothioneine, hericerin, erinacines, etc. Here we tested a pet food that contained H. erinaceus for improvement in the gut microbiota environment of aged dogs. A total of 18 dogs, each 11 years old, were utilized. For sixteen weeks, the dogs were fed with 0.4 g of H. erinaceus (HE-L), or 0.8 g (HE-H), or without H. erinaceus (CON) per body weight (kg) with daily diets (n = 6 per group). Taxonomic analysis was performed using metagenomics to investigate the difference in the gut microbiome. Resulting from principal coordinates analysis (PCoA) to confirm the distance difference between the groups, there was a significant difference between HE-H and CON due to weighted Unique fraction metric (Unifrac) distance (p = 0.047), but HE-L did not have a statistical difference compared to that of CON. Additionally, the result of Linear discriminate analysis of effect size (LEfSe) showed that phylum Bacteroidetes in HE-H and its order Bacteroidales increased, compared to that of CON, Additionally, phylum Firmicutes in HE-H, and its genera (Streptococcus, Tyzzerella) were reduced. Furthermore, at the family level, Campylobacteraceae and its genus Campylobacter in HE-H was decreased compared to that of CON. Summarily, our data demonstrated that the intake of H. erinaceus can regulate the gut microbial community in aged dogs, and an adequate supply of HE on pet diets would possibly improve immunity and anti-obesity on gut-microbiota in dogs.

Keywords: Hericium erinaceus; Aged dogs; Gut microbiota; Metagenomic analysis; Taxo-nomic profile


The population of dogs as companion animals has increased in the last few decades. The need to provide proper cares for the health and well-being of dogs has also increased, such as premium pet foods and advanced medical services. As dogs receive more care, their health and lifespan expand, which increases the geriatric population of dogs [1]. Like humans, dogs experience age-associated changes in a variety of physiological and metabolic aspects [2]. To maintain homeostasis in body systems it is important to provide essential and balanced nutrients. Currently, it is also common to feed dogs pet foods with functional ingredients which are used to help human health to delay aging or prevent the development of age-related diseases [3-5]. How ever, the current knowledge on proper nutrients and ingredients for aged dogs is limited.

Hericium erinaceus (H. erinaceus; HE) also known as Lion’s mane mushroom is a widely used medicinal mushroom with an extensive history. H. erinaceus contains several biologically active substances which are responsible for anti-cancer, anti-inflammation, anti-oxidation, etc. [6-10]. The most well-known medicinal substances of H. erinaceus are erinacines and hericerin which stimulate nerve growth factor (NGF) biosynthesis [11]. NGF acts as a neurotrophic factor and is involved in the survival, growth, and maintenance of neuronal cells [12-14]. Ergothioneine is a naturally occurring betaine amino acid produced by only certain bacteria and fungi [15]. Mushrooms are rich sources of ergothioneine including H. erinaceus [16]. The amount of ergothioneine in various mushrooms is correlated with the antioxidant capacity measured by in-vitro tests [17], and it was demonstrated that ergothioneine acts as an antioxidant in vivo and in vitro [18]. H. erinaceus also contains a large number of polyphenols that act as strong antioxidants and, anti-inflammatory substances and have anti-cancerous roles [19]. H. erinaceus extract administration prevented neurons from ischemic injury and improved cognitive function [20,21]. Additionally, H. erinaceus treatment in vascular endothelial cells induced antioxidant activity with antiangiogenic and anti-inflammatory activities, which may have anti-cancer properties [22]. Although H. erinaceus has various beneficial aspects, there are few studies on its effects on the health of dogs.

The importance of the gut microbiome in host health was widely researched. Gut microbiota digests variable prebiotics of non-digestible carbohydrates and produces fermentative by-products that can contribute to the health of the host [23]. H. erinaceus can be used as prebiotics for gut microbiota that could transforms polyphenols in H. erinaceus into a more bioactive low-molecular weight metabolite [24]. Additionally, the supplementation of H. erinaceus increased gut microbiota producing short-chain fatty acids in healthy adults that can be used by intestinal epithelial cells to enhance the gut barrier function [25]. Furthermore, it is reported that H. erinaceus could influence the relative abundance of beneficial gut microbiota composition, such as Lachnospiraceae and Akkermansiaceae [26]. It is reported that the specific gut microbiome pattern can be related to aging which could predict survival in humans [27]. Besides the accumulated information on H. erinaceus in gut microbiota, their effects on the gut microbiota in aged dogs have not been investigated. Hence, we evaluated the influence of H. erinaceus on the gut microbiome of dogs by taxonomic profiling using metagenomics. The resulting finding would be an essential source to study the gut microbiota, which can be used to provide better health care for aged dogs.



Animal studies were approved by the Institutional Animal Care and Use Committee of the National Institute of Animal Science (NIAS), Korea (Approval number: NIAS-2020-438). Each dogs was housed individually indoors. The housing environment was maintained with constant temperature (22°C–24°C) and humidity (60%–80%). Dogs were fed once a day and water were provided ad libitum. All dogs were exercised outside in the playground once a day. The health of dogs was looked after and monitored daily by NIAS veterinarians in need.


In this study, 5 Schnauzers, 6 Poodles, and 7 Maltese dogs were used. All the dogs were females and neutralized. The dogs were randomly distributed into three groups based on their similar body condition scores and body weights . All dogs were fed the same commercial diet except H. erianceus. A total of 6 dogs (aged 11 years) were fed diets without H. erinaceus, 6 dogs were fed 0.4 g per body weight (kg), and 6 dogs were fed 0.8 g per body weight (kg) of H. erinaceus for 16 weeks. The ingredient composition of the experimental diet is represented in Table 1. The amount of daily food intake was determined according to the recommendation of AFFCO (metabolizable energy [ME], kcal/day 132 × body weight 0.75 kg).

Table 1. Ingredients of experimental diets without or with Hericium erinaceus
Ingredients (%) CON HE - L HE - H
Hericium erinaceus powder - 1.24 2.48
 Rice powder 31.9 30.7 29.4
 Chicken breast powder 15.0 15.0 15.0
 Yolk powder 12.0 12.0 12.0
 Lard 1.5 1.5 1.5
 Green laver 1.0 1.0 1.0
 Calcium carbonate 1.0 1.0 1.0
 Cabbage powder 1.0 1.0 1.0
 Potassium citrate 0.6 0.6 0.6
 Calcium phosphate 0.4 0.4 0.4
 Vitamin and mineral 0.4 0.4 0.4
 Salt 0.2 0.2 0.2
 Water 35.0 35.0 35.0
Total 100 100 100

CON; group fed with a diet without Hericium erinaceus, HE-L; group fed with a diet of 0.4 g Hericium erinaceus, HE-H; group fed with a diet of 0.8 g Hericium erinaceus; n = 6 per group.

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Sample preparation and 16S rRNA sequencing

The feces were collected freshly and frozen in liquid nitrogen immediately. Collected feces were delivered to the laboratory and stored at −80°C until used. Genomic DNA (gDNA) was extracted from the frozen feces with the QIAmp PowerFecal DNA kit (QIAGEN, Hilden, Germany)according to the manufacturer’s instructions. After quality control, the qualified samples proceeded to library construction. gDNA was amplified by V3-V4 (341F/805R) region specific primers (341F: 5′-CCTACGGGNGGCWGCAG-3′, 805R: 5′- GACTACHVGGGTATCTAATCC-3′). For Next Generation Sequencing (NGS), index sequences were added using Illumina Nextera XT Sample Preparation Kit (Illumina, San Diego, CA, USA). The Fastq files of 16S rRNA sequencing data were produced in the read lengths of 2 × 300 paired-end using the Illumina MiSeq platform (Illumina).

Microbiota analysis

The Fastq files were confirmed by Quantitative Insights Into Microbial Ecology (QIIME2 ver. 2020.11) [28]. First, primer sequences on raw sequencing were trimmed by the Cutadapt plugin [29]. Then, to obtain the amplicon sequencing variants (ASVs), the DADA2 plugin [30] was used to denoise under Q score 25 and chimeric sequence. For taxonomy classification, the Silva full-length (ver. SSU138) reference sequences were pre-trained V3-V4 primer by naive-bayes classifier [31]. After assigning taxonomy, metrics of alpha and beta diversities were examined with respect to Shannon index, Chao1, Observed features, Evenness, and weighted and unweighted unique fraction metric (UniFrac) distance, respectively. The significance of alpha diversity was calculated using the Kruskal-Wallis (pairwise) in the QIIME2 tool. Statistical results of Principal coordinate analysis (PCoA) were completed using Permutational multivariate analysis of variance (PERMANOVA). To investigate the effect of H. erinaceus on the difference in gut microbiota, the Linear discriminant analysis (LDA) effect size (LEfSe) method was used LEfSe tool [32]. LEfSe was conducted by Kruskal-Wallis sum-rank test and the threshold for the LDA score was over 3.0. Statistical analyses of LEfSe were completed using the LEfSe plugin.


DNA sequencing throughput stats and microbiome diversity

The Phred quality scores of raw data produced over 33, and the amount of average reads was 102,166 ± 7,215 in eighteen samples (Table 2). The low-quality reads were filtered (quality score < 25) after importing data at QIIME2 (ver. 2020.11), trimmed using primers for sequencing, and then chimera reads were removed according to consensus options. The average number of ASVs for microbiome analysis was 60,321 ± 5,272. Alpha diversity of species evenness (Evenness estimator), richness (Observed features, Chao1 index), and diversity (Shannon index) were analyzed to estimate the diversity of microbiota in each sample (Table 3). In the control group (CON) fed with a diet without HE, the observed features were 192.4 ± 39.22, Shannon index was 5.6 ± 0.37, evenness was 0.7 ± 0.04, and Chao1 index was 192.6 ± 39.15. In the group fed with a diet of 0.4 g per body weight HE (HE-L), alpha diversity of the mean values of observed features, Shannon index, Evenness, and Choa1 index were 195.4 ± 51.6, 5.2 ± 0.66, 0.7 ± 0.07, and 195.5 ± 51.63, respectively. The richness of microbial diversity in HE-L tended to increase compared with that of the CON, but there was no significant difference. In the group fed with a diet of 0.8 g HE per body weight (HE-H), the observed feature, Shannon index, Evenness, and Chao1 indices were 180.8 ± 34.10, 5.3 ± 0.47, 0.7 ± 0.05, and 181.1 ± 34.23, respectively. The richness of microbial diversity in HE-H showed a tendency to decrease compared to that of the CON, but there was no significant difference. Based on the results, the gut microbial environment of aged dogs was not disturbed by H. erinaceus with respect to the richness and diversity of microbiota. Alpha diversity reflects the overall degree of richness and evenness and shows the microbiome diversity within a sample. After feeding H. erinaceus to aged dogs, the gut microbiome diversity was unchanged and stably maintained. However, earlier reports showed different results compared to that of the current study. The richness of gut microbiota in Kunming mice was increased when mouse were gavaged for 28 days with H. erinaceus at 500 mg/kg and 1,000 mg/kg, respectively [26]. Furthermore, the Shannon index increased in BALB/c mice when 100 mg/kg of H. erinaceus was orally administrated for 21 days [33]. Despite the H. erinaceus concentration being higher than that used in our experiments, the species difference between mice and dogs would be affected. Additionally, Turner [34] reported that the anatomical position of the digestive system had an important effect on the evaluation of gut microbiota.

Table 2. Result of DADA2 statistics of 16s rRNA amplicon sequencing variants on the gut-microbiota in dogs after feeding diets with Hericium erinaceus
Sample-id Group Input Filtered Denoise Merged Non-chimeric
C2-1 CON 92526 80625 79394 74900 53305
C2-2 CON 106559 93358 92727 83277 58403
C2-3 CON 108517 95954 94368 89609 67646
C2-4 CON 109942 96474 93438 86881 65839
C2-5 CON 107238 96234 94123 87696 64505
C2-6 CON 111296 98599 96432 89855 66081
T1-1 HE-L 112033 98977 97648 92921 59231
T1-2 HE-L 97660 86009 83711 77688 54637
T1-3 HE-L 96495 84262 82119 76035 56370
T1-4 HE-L 106150 93839 91346 84423 63920
T1-5 HE-L 105953 93036 91595 87238 64976
T1-6 HE-L 106342 93807 91513 85083 61415
T2-1 HE-H 101852 90557 89064 84894 64756
T2-2 HE-H 98872 86882 84837 78323 56512
T2-3 HE-H 90928 80589 78647 72837 54716
T2-4 HE-H 87720 77559 76119 70781 49704
T2-5 HE-H 97913 86257 84582 80179 64768
T2-6 HE-H 100987 88649 87616 83072 58996

Number of non-chimeric reads were used for investigation of gut-microbiota after filtered out by DADA2.

CON; group fed with a diet without Hericium erinaceus, HE-L; group fed with a diet of 0.4 g Hericium erinaceus, HE-H; group fed with a diet of 0.8 g Hericium erinaceus; n = 6 per group.

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Table 3. Analysis of gut microbial alpha diversity in dogs after feeding diets with Hericium erinaceus
Alpha diversity Group Kruskal-Wallis
CON HE - L HE - H p-value
Observed features ± SD 192.43 ± 39.22 195.43 ± 51.60 180.86 ± 34.10 0.566
Shannon’s index ± SD 5.64 ± 0.37 5.26 ± 0.66 5.37 ± 0.47 0.530
Evenness ± SD 0.75 ± 0.04 0.70 ± 0.07 0.72 ± 0.05 0.139
Chao1 estimates ± SD 192.60 ± 39.15 195.58 ± 51.63 181.13 ± 34.23 0.561

CON; group fed with a diet without Hericium erinaceus, HE-L; group fed with a diet of 0.4 g Hericium erinaceus, HE-H; group fed with a diet of 0.8 g Hericium erinaceus; n = 6 per group.

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Next, the weighted and unweighted unique fraction metric (UniFrac) distance was analyzed to confirm the difference in the gut-microbiota composition changed by H. erinaceus intake among groups (Fig. 1). Hence, HE-H had a significant difference with the CON in weighted Unifrac distance (p = 0.047). It implied that diet intake with 0.8 g H. erianceus for 16 weeks changed the gut microbiota composition in aged dogs. However, there was no difference in the unweighted Unifrac distance which is consistent with no difference in the microbial richness. HE-L showed no different distance of microbiota communities in both CON and HE-H. Therefore, HE-L did not critically affect the gut microbiota ecosystems, and HE-H changed the proportion of microbes although it did not result in a significant difference in alpha diversity measurements.

Fig. 1. Plots of the principal coordinates analysis (PCoA) of QIIME identified amplicon sequencing variants (ASVs). (A) Weighted unique fraction metric (Unifrac) distance. HE-H group clustered separately from CON (p < 0.05). (B) Unweighted Unifrac distance. Each of the axes were indicated component numbers of % variance between samples. CON; group fed with a diet without Hericium erinaceus, HE-L; group fed with a diet of 0.4 g Hericium erinaceus, HE-H; group fed with a diet of 0.8 g Hericium erinaceus; n = 6 per group.
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Taxonomic assignment and gut microbial compositions

To determine the effect of H. erinaceus intake on the proportion of gut microbial, ASVs were taxonomically classified using the q2-feature-classifier (Fig. 2). At the phylum level in the CON, Firmicutes (52.29%), Bacteroidetes (28.34%), and Fusobacteriota (11.43%) were the most relatively abundant taxa. The top 10 relatively abundant genus were Bacteroides (14.54%), Faecalibacterium (9.57%), Fusobacterium (9.36%), Blautia (8.32%), Peptoclostridium (5.91%), Prevotella (5.48%), Alloprevotella (4.92%), Escheriachia-Shigella (3.15%), Clostridium sensu stricto_1 (2.83%), and Ruminococcus gnavus group (2.19%). Firmicutes, which was the most dominant microbe at the phylum level, was reduced in both HE-L (47.99%) and HE-H (29.58%) after feeding on a diet containing H. erinaceus for 16 weeks. Contrastingly, Bacteroidetes in HE-L and HE-H increased to 28.94% and 51.19%, respectively. At the genus level, Fusobacterium (17.78%), Bacteroidetes (15.09%), and Blautia (12.47%) were the most relatively abundant taxa in HE-L. At the genus level in HE-H, Bacteroidetes (22.22%), Prevotella (17.08%), and Fusobacterium (11.66%) were the most relatively abundant taxa. Prevotella is known to be increased when consuming a fiber-rich diet [35], and Blautia was earlier reported that it is highly related to visceral fat accumulation [36]. Therefore, it would be possible that H. erinaceus is related to anti-obesity. The pair-end t-test results by the relative abundance of ASVs showed that there was no difference in genera between the CON and HE-L (data are not shown). In HE-H, when compared with CON, the genus Prevotella increased (p = 0.044), and Tyzzerella, a genus of the family Lachnospiraceae, reduced (p = 0.027).

Fig. 2. Bar plots depicting the relative abundance of gut-microbiota in dog after feeding diets with Hericium erinaceus at (A) phylum and (B) genus levels. The Y-axis is the relative abundance of microbiota composition. Total taxonomy classification is shown at the phylum level. The graph at genus level displayed the total microbiota, but the name annotations only displayed the relative abundance of top 10 microbes. CON; group fed with a diet without Hericium erinaceus, HE-L; group fed with a diet of 0.4 g Hericium erinaceus, HE-H; group fed with a diet of 0.8 g Hericium erinaceus; n = 6 per group.
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LEfSe analysis was performed to identify biomarkers among groups (Fig. 3). First, the results showed that the difference between the CON and HE-L was not found at the phylum level, and HE-L showed only a decrease in the genera Propionigenum (Fig. 3A). Comparing CON and HE-H, Bacteroidetes significantly increased in HE-H and Firmicutes significantly increased in CON at the phylum level (Fig. 3B). Microbes that are included in Bacteroidetes at the phylum, such as class Bacteroidia and order Bacteroidales also increased in HE-H (Fig. 3C). Additionally, microbes that are included in phylum Firmicutes, such as Clostridia at class, Lachnospirales and Lactobacillales at order, Lachnospiraceae, Campylobacteraceae, and Streptococcaceae at family, and Campylobacter, Streptococcus, and Tyzzerella at genus were found in high level in the CON group. Firmicutes and Bacteroidetes were reported to be the predominant phyla in the gut of dogs [37-39]. The ratio of Firmicutes/Bacteroidetes (F/B) was associated with the balance of the microbiome ecosystem and an appropriate ratio of F/B is important to create a healthy gut microbiota community [40]. Many studies reported that the ratio of F/B increases in obese dogs [41,42]. Firmicutes was a phyla that is increased by a high-calorie diet and mostly in obesity [43-45]. Bacteroidetes were associated with weight loss and abundant phylum taxa of dogs fed a diet of high-protein and low carbohydrate [43,46]. In the current study, we found that the decrease in the F/B ratio would reflect the anti-obesity ability of H. erinaceus. However, there is limited information on the F/B ratio in dogs, and it is necessary to accumulate microbiome data through various studies on dogs.

Fig. 3. Plots showcasing the linear discriminant analysis (LDA) effect size (LEfSe) bar of dog on gut microbiota between groups. (A) Gut microbiota between CON and HE-L at the genus level. (B) Gut microbiota between CON and HE-H at the phylum level. (C) Gut microbiota between CON and HE-H at the genus level. (D) Gut microbiota between HE-L and HE-H at the genus level. The bars represents the size of the difference microbes, and the two colors represent the two other groups. LDA score < 3.0, CON; group fed with a diet without Hericium erinaceus, HE-L; group fed with a diet of 0.4 g Hericium erinaceus, HE-H; group fed with a diet of 0.8 g Hericium erinaceus; g_, genus; p_, phylum; o_, order; c_, class; f_, family; n = 6 per group.
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Additionally, the reduction of genera Campylobacter, Streptococcus, and Tyzzerella in HE-H were observed. Campylobacter infections are one of the most common causes of diarrhea in humans, and it is a genus in which various probiotics are developed to reduce the abundance in the gut [47-49]. The abundance of Streptococcus was associated with inflammatory reaction and atherosclerosis [50,51]. Tyzzerella was increased in cardiovascular disease risk, and also asymptomatic and symptomatic in patients with viral infections severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) increased in the gut [52,53]. Additionally, Tyzzerella was related to chronic intestinal inflammation by change of abundance [54]. Furthermore, the order of Aeromonadales increased even though the family Campylobacteraceae and its genus Campylobacter which are included at the same phylum level reduced in HE-H. It could be the result of positive interaction between those microorganisms for mutual competition or survival, which is an important part of the evolution of microorganisms [55-58]. In the comparative analysis between the two concentrations (0.4 g and 0.8 g) of H. erinaceus, no significant difference was found (Fig. 3D). The optimal concentration of H. erinaceus is important in terms of the safety of pet food. In this study, we found that the concentration of H. erinaceus can maintain the richness and diversity of the gut microbial environment of dogs. It would support that H. erinaceus would be safe to be used in pet foods.

H. erinaceus is known to have health benefits including anti-inflammation and anti-obesity [59,60]. In this study, we investigated the changes in gut microbial abundance induced by diet with H. erinaceus in aged dogs. The population of genera Campylobacter, Streptococcus, and Tyzzerella is involved in inflammation, and the F/B ratio which is related to obesity was reduced after feeding on H. erinaceus. It would support that the intake of H. erinaceus improves the immunity of aged dogs and helps body weight control by regulating the gut microbial environment. It may provide insights into the possibility of H. erinaceus as a functional ingredient used in pet foods. As the data related to H. erinaceus intake and its effect on the microbiome in dogs are limited, this result can be useful information to further study the influence of H. erinaceus in dogs.

Competing interests

No potential conflict of interest relevant to this article was reported.

Funding sources

This research was supported by a grant “Cooperative Research Program of Center for Companion Animal Research (Project No. PJ014767012022)” from the National Institute of Animal Science, Rural Development Administration, Korea.


Authors acknowledge the 2022 RDA Fellowship Program of the National Institute of Animal Science, Rural Development Administration, Korea.

Availability of data and material

Upon reasonable request, the datasets of this study can be available from the corresponding author.

Authors’ contributions

Conceptualization: Cho HW, Choi S, Chun JL.

Data curation: Cho HW, Choi S, Seo K.

Formal analysis: Cho HW, Choi S, Seo K, Kim KH.

Methodology: Kim KH, Kim CH, Lim S, Jeong S.

Validation: Seo K, Kim KH, Jeon JH.

Writing – original draft: Cho HW, Chun JL.

Writing –review & editing: Cho HW, Choi S, Seo K, Kim KH, Jeon JH, Kim CH, Lim S, Jeong S, Chun JL.

Ethics approval and consent to participate

Animal studies were approved by the Institutional Animal Care and Use Committee of the National Institute of Animal Science (NIAS), Korea (Approval number: NIAS-2020-438).



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