Skip to main content
PLOS One logoLink to PLOS One
. 2022 Dec 7;17(12):e0278105. doi: 10.1371/journal.pone.0278105

Effects of dog ownership on the gut microbiota of elderly owners

Chaona Jiang 1,2, Zeying Cui 3, Pingming Fan 2,*, Guankui Du 2,3,4,5,*
Editor: Gang Liu6
PMCID: PMC9728917  PMID: 36477426

Abstract

Dog owners are usually in close contact with dogs. Whether dogs can affect the gut microbiota of elderly dog owners is worth studying. Data from 54 elderly (over 65 years of age) dog owners were screened from the American Gut Project. Owning a dog did not affect the α-diversity of the gut microbiota of the dog owner. Dog ownership significantly modulated the composition of the gut microbiota of the dog owner. The abundance of Actinobacteria was significantly increased. The abundances of Bifidobacteriaceae and Ruminococcaceae were significantly increased, while the abundance of Moracellaceae was significantly suppressed. In general, dog ownership can regulate the composition of gut microbiota and has a more significant effect on elderly males.

Introduction

Dogs are one of the most important companions of human beings [1]. Keeping a dog can promote communication between people. The owner can release pressure and relieve a depressed mood by raising a dog [2]. The social and emotional health status of children in families with a dog is better than that of children in families without a dog [3]. Studies have shown that keeping a pet dog and walking the dog regularly can increase the activity of elderly individuals [4]. The dog can make the owner have a strong desire to exercise because the owner must walk the dog regularly every day [4]. Taking a dog for a walk is much more frequent than the owner taking a walk alone, especially for the elderly [4]. Researchers have found that people who care for and walk dogs are healthier and end up living longer [5]. The benefits of the companionship of pet dogs to owners are worth exploring.

Billions of bacteria colonize the human intestine [6]. The gut microbiota can help the host deal with exogenous substances, such as protein, dietary fiber, and fat. The gut microbiota can produce various metabolites (such as short-chain fatty acids (SCFAs)), bacterial constituents (such as lipopolysaccharides (LPS)), and the metabolism of bile acids [6]. In addition, gut microbiota can significantly affect intestinal mucin, especially Akkermansia muciniphila, which can significantly improve the thickness of mucin [7]. The gut microbiota can affect host health and is associated with multiple diseases, such as diabetes and depression [8, 9]. The colonization or increase of probiotics is beneficial to the treatment of diseases [10]. However, the increase in some microbes in the intestine can promote the occurrence of diseases [11]. Therefore, maintaining the diversity and stability of the gut microbiota is an important factor in maintaining health.

Pets can affect their owner’s gut microbiota in a variety of ways. There are pet owners who enjoy interacting with their pets and even have intimate interactions, such as sharing a bed, petting, hugging, and head-to-head contact [12]. Pet owners often need to dispose of feces for their pets, which is one of the major causes of microbial changes in the environment [12]. Injury to pet owners during interaction with pets can lead to bacterial infection [12]. Recent studies have shown that keeping a cat can affect the gut microbiota of the owner [13]. Research shows that women have higher cat and dog ownership rates [14, 15]. The rate of pet ownership increases with age [15]. In addition, raising dogs promotes the movement of owners. It is worth paying attention to the effects of raising a dog on gut microbiota. In this study, we screened data on the gut microbiota of elderly individuals with a dog based on the American Gut Project (AGP). By analyzing the microbial diversity and composition of elderly dog owners, the possible effects of dog ownership on the health of the elderly were explored.

Materials and methods

Data sources

The data for this study came from the AGP. The AGP not only collected stool samples of participants but also collected various information, including basic information such as birth year, gender, and height. In addition, the AGP also required participants to fill in various pieces of information, including diet type, keeping pet dogs, cats, and so on. The AGP was unified following the Earth Microbiome Plan in sample collection, storage, and sequencing analysis. The AGP stored its questionnaire information and original sequencing data in the SRA database (https://www.ncbi.nlm.nih.gov/sra/) under accession number PRJEB11419. Although the AGP completed the sequencing of 25,376 samples, some of the data could not be included in this study. This study excluded people without basic information, who had antibiotic treatment within six months, recently traveled, or had severe illness. In addition, samples with a sequencing depth of less than 8000 were also excluded. Finally, we obtained data from 54 participants over 65 years of age for subsequent analysis. In addition, we randomly matched 54 samples by gender, body mass index (BMI), and age from participants who claimed not to have dogs (Table 1).

Table 1. Demographic and anthropometric characteristics of the elderly dog owners.

Dog No Dog Chi-square P Value
Total Number 54 54
Age 69.78±3.15 69.72±3.18
BMI 27.13±4.22 26.95±4.47
Normal Weight (Number) 20 20
Over Weight (Number) 34 34
Gender Female: Male 14:30 14:30
Diet Type
Omnivore 47 44 0.007991 0.928770
other 7 10 0.172653 0.677765

Group

This study included 54 elderly people with dogs (ED) and 54 elderly people without dogs (END). According to body weight, they were divided into a normal-weight elderly group with dogs (NWED), a normal-weight elderly group without dogs (NWEND), an overweight elderly group with dogs (OWED), and an overweight elderly group without dogs (OWEND). According to gender, they were divided into male elderly with a dog (Male_ED), male elderly without a dog (Male_END), female elderly with a dog (Female_ED), and female elderly without a dog (Female_END).

Converting SRA to FASTQ format

The data stored in the SRA database must be formatted. Data in SRA format need to be converted to FASTQ format. The fastq-dump.exe program (sratoolkit toolkit) was used for format conversion.

Data processing

QIIME2 software was used to process 16S rRNA sequencing data. QIIME2 software integrated FASTQ files into a demux.qza file and then used the deblur plug-in to control the quality of the sequence data and obtain a characteristic table. Next, the "qiime phylogeny align-to-tree-mafft-fast tree" plug-in generated rootless trees. α-Diversity was obtained by using the "qiime diversity alpha rarefaction" plugin. After generating the visualized qzv file, the OTU and Shannon index were visualized in the browser. The Greengenes 13.8 databases were used to annotate and classify the microbes. OTUs that were not widely distributed (distributed in less than 1% of the samples) were deleted.

According to the characteristic table, picrust2 predicted the function of the gut microbiota.

Statistical analysis

Microbial abundance and function prediction difference statistics were analyzed by Statistical Analysis of Metagenomic Profiles (STAMP 2.1.3). The adjusted P value was calculated using the Benjamini-Hochberg false discovery rate (FDR) method. An adjusted P value <0.05 was considered significant.

Result

The present study was carried out to characterize dog ownership-induced changes in the properties of the owner’s gut microbiota. As shown in Table 1, age, BMI, sex, ethnicity, country of residence, and diet type were not significantly different between the dog group and without dog group.

The effect of dog ownership on the gut microbiota of elderly individuals

The α-diversity analysis, which reflects the abundance and diversity of the microbial community, showed that the OTU number and the Shannon index (Shannon value was positively correlated with community diversity) were not significantly altered in the elderly with dog group compared with those of the no_dog group (Fig 1A and 1B).

Fig 1. The effect of dog ownership on the microbial composition of elderly individuals.

Fig 1

Dog ownership did not affect the (A) number of OTUs or the (B) Shannon index. The effect of dog ownership on bacteria at the (C) phylum level and (D) family level. The red bar represents a significant increase, while the blue bar represents a significant decrease.

As shown in Fig 1C and 1D, the microbial composition was impacted by owning a dog. At the phylum level, Actinobacteria were significantly increased by dog ownership (Fig 1C). At the family level, the relative abundances of Bifidobacteriaceae and Ruminococcaceae were significantly increased, while Moracellaceae was significantly reduced (Fig 1D).

In addition, 11 metabolic pathways were predicted to be significantly changed (P<0.05) (Fig 2). The metabolism of carbohydrates and the cell wall were significantly increased. The metabolism of lipids, vitamins, nucleotides, and biological oxidation was reduced.

Fig 2. The effect of dog ownership on the microbial function of elderly individuals.

Fig 2

The significant effect of dog ownership on microbial metabolism pathways. The red bar represents a significant increase, while the blue bar represents a significant decrease.

The effect of dog ownership on the gut microbiota of normal-weight and overweight elderly individuals

The α-diversity analysis showed that the OTU number and the Shannon index were not significantly altered in either the normal-weight elderly with a dog (NWED) or the overweight elderly with a dog (OWED) group (Fig 3A and 3B). Moreover, at the phylum level, Actinobacteria was significantly increased in the NWED group (Fig 3C). At the family level, the relative abundance of Bifidobacteriaceae was significantly increased in the NWED group (Fig 3D). Ruminococcaceae was significantly increased in the OWED group compared with that of the OWEND group (Fig 3D).

Fig 3. The effect of dog ownership on the microbial composition of female and male elderly individuals.

Fig 3

Dog ownership did not affect the (A) number of OTUs or the (B) Shannon index. The effect of dog ownership on bacteria at the (C) phylum level and (D) family level. The red bar represents a significant increase, while the blue bar represents a significant decrease.

In addition, 13 and 18 metabolic pathways were predicted to be significantly changed in the NWED and OWED groups, respectively (P<0.05) (Fig 4). In the NWED group, the metabolism of carbohydrates was significantly increased, while the metabolism of vitamins and lipids was significantly reduced (Fig 4A). In the OWED group, the metabolism of amino acids was significantly increased (Fig 4B).

Fig 4. The effect of dog ownership on the microbial function of female and male individuals.

Fig 4

The significant effect of dog ownership on microbial metabolism pathways in (A) female and (B) male individuals. The red bar represents a significant increase, while the blue bar represents a significant decrease.

The effect of dog ownership on the gut microbiota of female and male elderly individuals

The α-diversity analysis showed that the OTU number and the Shannon index were not significantly altered in the female elderly groups or male elderly groups (Fig 5A and 5B). At the phylum level, the relative abundance of Bacteroidetes was significantly decreased, while that of Firmicutes was significantly increased in the Male-ED group compared with the Male-END group (Fig 5C). At the family level, the relative abundances of Ruminococcaceae and Peptococcaceae were significantly increased in the Male-ED group compared with those of the Male-END group (Fig 5D). Moraxellaceae was significantly decreased in Female-ED compared with Female-END (Fig 5D).

Fig 5. The effect of dog ownership on the microbial composition of normal-weight and overweight elderly individuals.

Fig 5

Dog ownership did not affect the (A) number of OTUs or the (B) Shannon index. The effect of dog ownership on bacteria at the (C) phylum level and (D) family level. The red bar represents a significant increase, while the blue bar represents a significant decrease.

In addition, 35 and 2 metabolic pathways were predicted to be significantly changed in the Male-ED and Female-ED groups, respectively (P<0.05) (Fig 6). In the Male-ED group, the metabolism of carbohydrates, nucleotides, and amino acids was significantly increased, while the metabolism of vitamin synthesis was significantly decreased. In the female-ED group, the metabolism of carbohydrates was significantly increased.

Fig 6. The effect of dog ownership on the microbial function of normal weight and overweight individuals.

Fig 6

The significant effect of dog ownership on microbial metabolism pathways, (A) normal-weight and (B) overweight individuals. The red bar represents a significant increase, while the blue bar represents a significant decrease.

Discussion

Studies have shown that the gut microbiota is affected by the environment, such as the urban living environment and antibiotic exposure. As one of people’s closest partners, dogs affect people’s health in many ways. The present study demonstrated that dog ownership had a significant impact on the microbial structure and function of elderly individuals.

Sixty-four percent of the owners would walk their dogs for 214.1 ± 189.5 minutes per week [16]. Therefore, the exercise time of dog owners is also higher than that of others, and it is easier for them to achieve the recommended amount of physical activity [16, 17]. Regular dog walking improves physical capacity in elderly patients after myocardial infarction [18]. In addition, a study shows that the company of dogs can effectively increase the sleep time of the elderly [19]. Therefore, keeping a dog for a long time may reduce the frailty risk of the elderly [20]. Recently, a study showed that exercise plays an important role in improving the composition of the gut microbiota [21]. Thus, consistent with previous studies, dog ownership may provide benefits to dog owners in terms of gut microbiota, which is attributed to exercising with dogs.

A variety of health-promoting bacteria are present in the intestinal tract. Actinobacteria are the source of many important antibiotics [22]. Some Actinobacteria are also beneficial to humans. For example, a high abundance of Atopodium is beneficial to relieving depression [23]. Studies have shown that Bifidobacterium can improve metabolic endotoxemia and glucose tolerance [24, 25]. Bifidobacterium in humans has highly acquired glycosyl hydrolase encoding genes, which can enhance their metabolic ability to utilize different carbon sources consumed by the host [26]. Ruminococcaceae is the predominant bacterial family [27]. The decrease in Ruminococcaceae is associated with a variety of inflammatory reactions. Therefore, the increase in the abundance of Ruminococcaceae is considered a marker of the intervention effect [28, 29]. In addition, a high abundance of Moraxellaceae is thought to be associated with a variety of diseases, such as drug resistance, cancer, and asthma [3032]. 16S rRNA sequencing analysis showed that Actinobacteria, Bifidobacteriaceae, and Ruminococcaceae were significantly increased, while Moraxellaceae was significantly reduced in elderly dog owners. Thus, dog ownership might promote the growth of beneficial microbes and inhibit the abundance of harmful bacteria.

Studies have reported that microbial diversity and abundance might be altered by obesity. In overweight individuals, the Firmicutes to Bacteroidetes ratio might be significantly increased, while Bifidobacterium abundance significantly decreased [33, 34]. In contrast, a study found that obese patients had significantly lower duodenal Firmicutes [35]. Meanwhile, Firmicutes increased with age, while Bacteroidetes decreased in elderly individuals [36]. The Firmicutes/Bacteroidetes ratio was higher in the elderly group than in the middle-aged group, but no significant difference was observed between the two groups [37]. The present study showed that the Firmicutes to Bacteroidetes ratio was increased in dog ownership groups, especially in obese individuals. Ruminococcaceae were significantly increased in the OW_elderly group. This result suggests that although dog ownership can increase the abundance of some probiotics, it does not significantly alter the gut microbiota of obese individuals. Obese patients need more diverse means of health control.

A growing number of studies have shown sex differences in gut microbiota in animals and humans [38, 39]. Compared with males, Firmicutes, the Firmicutes/Bacteroidetes ratio, and Actinobacteria were significantly increased in females [40]. A study showed that diet has sex characteristics for gut microbiota [41], leading to a difference in lipid metabolism [42]. In addition, the difference in gut microbiota by sex influences the occurrence and treatment effect of diseases [43, 44].

In the present study, differences in gut microbiota between male dog owners and female dog owners were analyzed (S1 Table). It was found that at the phylum level, the gut microbiota of the three phyla differed significantly, with Cyanobacteria and Firmicutes significantly increased, while Bacteroidetes levels were significantly decreased in elderly female dog owners compared with elderly male dog owners. Correspondingly, Cyanobacteria were also significantly increased in the gut microbiota of the no dog elderly_male group compared with that of the no dog elderly_female group. Taken together, these results indicate that Firmicutes and Bacteroidetes may be bacteria with significant differences between older male and older female dog owners. Therefore, the study revealed that dog ownership had different effects on the gut microbiota of males and females.

The dominant phyla of the dog gut microbiota are Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and Fusobacteria, which is similar to the structure of human gut microbiota [45]. Moreover, studies have shown that humans can acquire infections from their pet dogs [46, 47]. These infections are usually transmitted by scratching or biting, and mucus secretion is the main source of infection [48]. Multiple findings suggest that intimate interactions between humans and dogs are not limited to walking together, touching the head, bathing the dog, and cleaning up the dog’s excrement but also include sharing living spaces [12]. Therefore, bacteria in dog skin, saliva, urine, and especially feces may be important factors affecting the human gut microbiota. In the present study, a significant increase in the abundance of Actinobacteria was associated with dog ownership. Therefore, alterations in the structure of the human gut microbiota may originate from the transmission of bacteria from dogs.

This study relied more on the subjects’ self-reports, which may not be accurate. The AGP does not collect the time spent with pets, the ways they interact, the time spent walking the dog, etc. Therefore, this article cannot analyze the influence of pet dogs on the gut microbiota in more aspects. In addition, limited by the research strategy, many samples were excluded, resulting in too few samples in this study. The imbalance of the sampling makes this research not comprehensive enough. All of these issues need to be resolved by further research.

Conclusion

This study highlights that dog ownership can promote the increase in beneficial microorganisms and suppress the number of harmful bacteria. The abundance of Actinobacteria was significantly affected by dog ownership. Firmicutes-to-Bacteroidetes were significantly increased in males, which is considered to be beneficial for health. Meanwhile, the probiotics Bifidobacteriaceae and Ruminococcaceae were found to be significantly increased in multiple subgroups. In addition, dog ownership may have more benefits in older normal-weight individuals and older men. However, the benefits of dog ownership on the gut microbiota of elderly individuals still need to be validated in a larger cohort.

Supporting information

S1 Table. Comparison of the gut microbiota of female with dog ownership and that of male with dog ownership.

(XLSX)

S1 Graphical abstract

(TIF)

Data Availability

All data used for this paper are available at https://www.ebi.ac.uk/ena/browser/home, or https://www.ncbi.nlm.nih.gov/sra/ (accession # PRJEB11419) for the AGP dataset.

Funding Statement

Research reported in this project was supported by the National Natural Science Foundation of China under grant number 81960672. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Hecht J. When did dogs become our best friends? New Scientist. 2002;176(2371):16–16.12731542 [Google Scholar]
  • 2.Powell L, Chia D, McGreevy P, Podberscek AL, Edwards KM, Neilly B, et al. Expectations for dog ownership: Perceived physical, mental and psychosocial health consequences among prospective adopters. PLoS One. 2018;13(7):e0200276. doi: 10.1371/journal.pone.0200276 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wenden EJ, Lester L, Zubrick SR, Ng M, Christian HE. The relationship between dog ownership, dog play, family dog walking, and pre-schooler social-emotional development: findings from the PLAYCE observational study. Pediatric Research. 2021;89(4):1013–9. doi: 10.1038/s41390-020-1007-2 . [DOI] [PubMed] [Google Scholar]
  • 4.Gretebeck KA, Radius K, Black DR, Gretebeck RJ, Ziemba R, Glickman LT. Dog ownership, functional ability, and walking in community-dwelling older adults. Journal of Physical Activity & Health. 2013;10(5):646–55. doi: 10.1123/jpah.10.5.646 . [DOI] [PubMed] [Google Scholar]
  • 5.Kramer CK, Mehmood S, Suen RS. Dog Ownership and Survival: A Systematic Review and Meta-Analysis. Circulation: Cardiovascular Quality and Outcomes. 2019;12(10):e005554. doi: 10.1161/CIRCOUTCOMES.119.005554 . [DOI] [PubMed] [Google Scholar]
  • 6.Wastyk HC, Fragiadakis GK, Perelman D, Dahan D, Merrill BD, Yu FB, et al. Gut-microbiota-targeted diets modulate human immune status. Cell. 2021;184(16):4137–4153. doi: 10.1016/j.cell.2021.06.019 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kwak MJ, Park MY, Choi YS, Cho J, Pathiraja D, Kim J, et al. Dietary sophorolipid accelerates growth by modulation of gut microbiota population and intestinal environments in broiler chickens. Journal of Animal Science and Biotechnology. 2021;12(1):1–9. doi: 10.1186/s40104-021-00606-x . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Wilkowska A, Szalach LP, Cubala WJ. Gut Microbiota in Depression: A Focus on Ketamine. Frontiers in Behavioral Neuroscience. 2021;15:693362. doi: 10.3389/fnbeh.2021.693362 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zheng S, Wang Y, Fang J, Geng R, Li M, Zhao Y, et al. Oleuropein Ameliorates Advanced Stage of Type 2 Diabetes in db/db Mice by Regulating Gut Microbiota. Nutrients. 2021;13(7):2131. doi: 10.3390/nu13072131 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Chen X, Yi H, Liu S, Zhang Y, Su Y, Liu X, et al. Probiotics Improve Eating Disorders in Mandarin Fish (Siniperca chuatsi) Induced by a Pellet Feed Diet via Stimulating Immunity and Regulating Gut Microbiota. Microorganisms. 2021;9(6):1288. doi: 10.3390/microorganisms9061288 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Illescas O, Rodriguez-Sosa M, Gariboldi M. Mediterranean Diet to Prevent the Development of Colon Diseases: A Meta-Analysis of Gut Microbiota Studies. Nutrients. 2021;13(7):2234. doi: 10.3390/nu13072234 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Stull JW, Brophy J, Weese J. Reducing the risk of pet-associated zoonotic infections. Canadian Medical Association Journal. 2015;187(10):736–43. doi: 10.1503/cmaj.141020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Du G, Huang H, Zhu Q, Ying L. Effects of cat ownership on the gut microbiota of owners. PloS One. 2021;16(6):e0253133. doi: 10.1371/journal.pone.0253133 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Schulz C, König H-H, Hajek A. Differences in self-esteem between cat owners, dog owners, and individuals without pets. Frontiers in Veterinary Science. 2020;7:552. doi: 10.3389/fvets.2020.00552 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Oka K, Shibata A. Dog ownership and health-related physical activity among Japanese adults. Journal of Physical Activity and Health. 2009;6(4):412–8. doi: 10.1123/jpah.6.4.412 . [DOI] [PubMed] [Google Scholar]
  • 16.Oka K, Shibata A. Prevalence and correlates of dog walking among Japanese dog owners. Journal Of Physical Activity & Health. 2012;9(6):786–93. doi: 10.1123/jpah.9.6.786 . [DOI] [PubMed] [Google Scholar]
  • 17.Richards EA. Prevalence of dog walking and sociodemographic characteristics of dog walkers in the U. S.: an update from 2001. American Journal Of Health Behavior. 2015;39(4):500–6. doi: 10.5993/AJHB.39.4.6 . [DOI] [PubMed] [Google Scholar]
  • 18.Ruzic A, Miletic B, Ruzic T, Persic V, Laskarin G. Regular dog-walking improves physical capacity in elderly patients after myocardial infarction. Coll Antropol. 2011;35 Suppl 2:73–5. . [PubMed] [Google Scholar]
  • 19.Thodberg K, Sorensen LU, Christensen JW, Poulsen PH, Houbak B, Damgaard V, et al. Therapeutic effects of dog visits in nursing homes for the elderly. Psychogeriatrics. 2016;16(5):289–97. doi: 10.1111/psyg.12159 . [DOI] [PubMed] [Google Scholar]
  • 20.Taniguchi Y, Seino S, Nishi M, Tomine Y, Tanaka I, Yokoyama Y, et al. Association of Dog and Cat Ownership with Incident Frailty among Community-Dwelling Elderly Japanese. Scientific Reports. 2019;9(1):18604. doi: 10.1038/s41598-019-54955-9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wang R, Cai Y, Li J, Yau SY, Lu W, Stubbs B, et al. Effects of aerobic exercise on gut microbiota in adolescents with subthreshold mood syndromes and healthy adolescents: A 12-week, randomized controlled trial. Journal of Affective Disorders. 2021;293:363–72. doi: 10.1016/j.jad.2021.06.025 . [DOI] [PubMed] [Google Scholar]
  • 22.Hui ML, Tan LT, Letchumanan V, He YW, Fang CM, Chan KG, et al. The Extremophilic Actinobacteria: From Microbes to Medicine. Antibiotics (Basel). 2021;10(6):682. doi: 10.3390/antibiotics10060682 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Otaka M, Kikuchi-Hayakawa H, Ogura J, Ishikawa H, Yomogida Y, Ota M, et al. Effect of Lacticaseibacillus paracasei Strain Shirota on Improvement in Depressive Symptoms, and Its Association with Abundance of Actinobacteria in Gut Microbiota. Microorganisms. 2021;9(5):1026. doi: 10.3390/microorganisms9051026 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Gonai M, Shigehisa A, Kigawa I, Kurasaki K, Chonan O, Matsuki T, et al. Galacto-oligosaccharides ameliorate dysbiotic Bifidobacteriaceae decline in Japanese patients with type 2 diabetes. Beneficial Microbes. 2017;8(5):705–16. doi: 10.3920/BM2016.0230 . [DOI] [PubMed] [Google Scholar]
  • 25.In Kim H, Kim JK, Kim JY, Jang SE, Han MJ, Kim DH. Lactobacillus plantarum LC27 and Bifidobacterium longum LC67 simultaneously alleviate high-fat diet-induced colitis, endotoxemia, liver steatosis, and obesity in mice. Nutrition Research. 2019;67:78–89. doi: 10.1016/j.nutres.2019.03.008 . [DOI] [PubMed] [Google Scholar]
  • 26.Lugli GA, Milani C, Turroni F, Duranti S, Mancabelli L, Mangifesta M, et al. Comparative genomic and phylogenomic analyses of the Bifidobacteriaceae family. BMC Genomics. 2017;18(1):568. doi: 10.1186/s12864-017-3955-4 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Sublette ME, Cheung S, Lieberman E, Hu S, Mann JJ, Uhlemann AC, et al. Bipolar disorder and the gut microbiome: A systematic review. Bipolar Disorder. 2021;23(6): 544–564. doi: 10.1111/bdi.13049 . [DOI] [PubMed] [Google Scholar]
  • 28.Zhang Y, Mu T, Jia H, Yang Y, Wu Z. Protective effects of glycine against lipopolysaccharide-induced intestinal apoptosis and inflammation. Amino Acids. 2022; 54(3): 353–364. doi: 10.1007/s00726-021-03011-w . [DOI] [PubMed] [Google Scholar]
  • 29.Zheng Y, Yue C, Zhang H, Chen H, Liu Y, Li J. Deoxycholic Acid and Lithocholic Acid Alleviate Liver Injury and Inflammation in Mice with Klebsiella pneumoniae-Induced Liver Abscess and Bacteremia. Journal of Inflammation Research. 2021;14:777–89. doi: 10.2147/JIR.S298495 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Marano RBM, Gupta CL, Cozer T, Jurkevitch E, Cytryn E. Hidden Resistome: Enrichment Reveals the Presence of Clinically Relevant Antibiotic Resistance Determinants in Treated Wastewater-Irrigated Soils. Environmental Science & Technology. 2021;55(10):6814–27. doi: 10.1021/acs.est.1c00612 . [DOI] [PubMed] [Google Scholar]
  • 31.Zaman S, Greene J. Moraxella Bacteremia in Cancer Patients. Cureus. 2021;13(5):e15316. doi: 10.7759/cureus.15316 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Liu HY, Li CX, Liang ZY, Zhang SY, Yang WY, Ye YM, et al. The Interactions of Airway Bacterial and Fungal Communities in Clinically Stable Asthma. Frontiers in Microbiology. 2020;11:1647. doi: 10.3389/fmicb.2020.01647 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ettehad Marvasti F, Moshiri A, Taghavi MS, Riazi S, Taati M, Sadati SF, et al. The First Report of Differences in Gut Microbiota Composition between Obese and Normal Weight Iranian Subjects. Iranian biomedical journal. 2020;24(3):148–54. doi: 10.29252/ibj.24.3.148 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Golloso-Gubat MJ, Ducarmon QR, Tan RCA, Zwittink RD, Kuijper EJ, Nacis JS, et al. Gut Microbiota and Dietary Intake of Normal-Weight and Overweight Filipino Children. Microorganisms. 2020;8(7):1015. doi: 10.3390/microorganisms8071015 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Nardelli C, Granata I, D’Argenio V, Tramontano S, Compare D, Guarracino MR, et al. Characterization of the duodenal mucosal microbiome in obese adult subjects by 16S rRNA sequencing. Microorganisms. 2020;8(4):485. doi: 10.3390/microorganisms8040485 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Vaiserman A, Romanenko M, Piven L, Moseiko V, Lushchak O, Kryzhanovska N, et al. Differences in the gut Firmicutes to Bacteroidetes ratio across age groups in healthy Ukrainian population. BMC microbiology. 2020;20(1):1–8. doi: 10.1186/s12866-020-01903-7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Shen X, Miao J, Wan Q, Wang S, Li M, Pu F, et al. Possible correlation between gut microbiota and immunity among healthy middle-aged and elderly people in southwest China. Gut Pathogens. 2018;10(1):1–9. doi: 10.1186/s13099-018-0231-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Valeri F, Endres K. How biological sex of the host shapes its gut microbiota. Frontiers In Neuroendocrinology. 2021;61:100912. doi: 10.1016/j.yfrne.2021.100912 . [DOI] [PubMed] [Google Scholar]
  • 39.Kim YS, Unno T, Kim BY, Park MS. Sex Differences in Gut Microbiota. World Journal of Mens Health. 2020;38(1):48–60. doi: 10.5534/wjmh.190009 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Koliada A, Moseiko V, Romanenko M, Lushchak O, Kryzhanovska N, Guryanov V, et al. Sex differences in the phylum-level human gut microbiota composition. BMC Microbiol. 2021;21(1):131. doi: 10.1186/s12866-021-02198-y . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Bolnick DI, Snowberg LK, Hirsch PE, Lauber CL, Org E, Parks B, et al. Individual diet has sex-dependent effects on vertebrate gut microbiota. Nature Communications. 2014;5:4500. doi: 10.1038/ncomms5500 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Baars A, Oosting A, Lohuis M, Koehorst M, El Aidy S, Hugenholtz F, et al. Sex differences in lipid metabolism are affected by presence of the gut microbiota. Scientific Reports. 2018;8(1):13426. doi: 10.1038/s41598-018-31695-w . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Bridgewater LC, Zhang C, Wu Y, Hu W, Zhang Q, Wang J, et al. Gender-based differences in host behavior and gut microbiota composition in response to high fat diet and stress in a mouse model. Scientific Reports. 2017;7(1):10776. doi: 10.1038/s41598-017-11069-4 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Santos-Marcos JA, Haro C, Vega-Rojas A, Alcala-Diaz JF, Molina-Abril H, Leon-Acuna A, et al. Sex Differences in the Gut Microbiota as Potential Determinants of Gender Predisposition to Disease. Molecular Nutrition & Food Research. 2019;63(7):e1800870. doi: 10.1002/mnfr.201800870 . [DOI] [PubMed] [Google Scholar]
  • 45.Coelho LP, Kultima JR, Costea PI, Fournier C, Pan Y, Czarnecki-Maulden G, et al. Similarity of the dog and human gut microbiomes in gene content and response to diet. Microbiome. 2018;6(1):72. doi: 10.1186/s40168-018-0450-3 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.El-Bahnasawy MM, Khalil HH, Morsy TA. Babesiosis in an Egyptian boy aquired from pet dog, and a general review. Journal of the Egyptian Society of Parasitology. 2011;41(1):99–108. . [PubMed] [Google Scholar]
  • 47.Hetem DJ, Pekelharing M, Thijsen SF. Probable transmission of Yersinia enterocolitica from a pet dog with diarrhoea to a 1-year-old infant. BMJ Case Reports. 2013;2013:bcr2013200046. doi: 10.1136/bcr-2013-200046 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Maraki S, Kastanis G, Stafylaki D, Masunt S, Kapsetakis P, Scoulica E. Pasteurella multocida wound infection transmitted by a pet dog. Germs. 2018;8(4):214–7. doi: 10.18683/germs.2018.1149 . [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Comparison of the gut microbiota of female with dog ownership and that of male with dog ownership.

(XLSX)

S1 Graphical abstract

(TIF)

Data Availability Statement

All data used for this paper are available at https://www.ebi.ac.uk/ena/browser/home, or https://www.ncbi.nlm.nih.gov/sra/ (accession # PRJEB11419) for the AGP dataset.


Articles from PLOS ONE are provided here courtesy of PLOS

RESOURCES