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Introduction

In recent years, the problem of being overweight and obese has been increasing and affecting even younger individuals. This disease is diagnosed in all ages and socioeconomic groups, mainly in developed and developing countries (NCD-RisC 2017). The most common cause of obesity is excessive energy intake compared to its expenditure. Lifestyle factors (such as improper diet and lack of physical activity) play a significant role in the pathogenesis of this phenomenon, along with genetic, socioeconomic, and mental factors. Recently, more attention has been given to the role of gut microbiota in the pathogenesis of obesity, both in diagnosis and treating the disease.

Obesity

Obesity is characterized by excessive accumulation of adipose tissue in the body. Due to its close location to internal organs and hormonal activity, visceral fat has a multifactorial and detrimental impact on the human body (Góralska et al. 2015). The body mass index (BMI) is the most common parameter for assessing obesity. It is calculated by dividing body mass (in kilograms) by the square of height (in meters). Diagnosis of overweight or distinct degrees of obesity are demarcated according to specified BMI thresholds – Stage I obesity is designated by a BMI of 30–34.9 kg/m2, Stage II by 35–39.9 kg/m2, and Stage III by a BMI surpassing 40 kg/m2. The extreme manifestation – class III obesity – is commonly referred to as “massive obesity” or “morbid obesity”. Obesity can underlie or exacerbate many health problems and diseases, such as hypertension, dyslipidemia, carbohydrate metabolism disorders, obstructive sleep apnea, depression, fertility disorders, and many others (Zhang et al. 2023). The scale of the obesity problem is particularly significant in Western countries with particular feeding patterns. It is estimated that the current number of obese individuals worldwide has reached 650 million, and the prevalence of obesity continues to rise, according to the World Health Organization (WHO). The significant dynamics of this problem in recent decades are worth noticing. Since 1975, the number of obese patients has tripled, leading to frequent references to the contemporary “obesity epidemic”. It is anticipated that by the end of 2030, one in five women and one in seven men will have obesity-related issues, equivalent to approximately 1 billion people (data from IASO) (Lobstein et al. 2022).

Currently, the treatment of obesity primarily focuses on lifestyle changes, followed and accompanied by pharmacological treatment. Recommended interventions include modifying dietary habits, particularly reducing calorie intake, and incorporating physical activity (Bischoff and Schweinlin 2020). Pharmacotherapy has also become available for obesity treatment in the last decades. In the Polish market, there are currently three registered drugs: a combination of bupropion and naltrexone, liraglutide, and orlistat. In the United States of America and some countries in Europe (United Kingdom, Denmark), there are also some other drugs used for obesity treatment, like phentermine or semaglutide (Table I). Nevertheless, the lack of registration of some agents on local markets limits the treatment options (Richelsen et al. 2007; Smith et al. 2013; Wadden et al. 2013; Bello 2019; Azuri et al. 2023). For patients with a BMI > 40 kg/m2 or a BMI > 35 kg/m2 with obesity-related comorbidities (for example, cardiovascular diseases, diabetes, osteoarthritis), bariatric surgery is also a recommended alternative. The most offered and considered safe bariatric surgery is sleeve gastrectomy (SLG) (Rosen et al. 2009). The other types of operation, like gastric bypass or ingastric balloon, are less effective or burdened with more possible complications (Lager et al. 2017; Singh et al. 2020). One of the newest hypotheses regarding obesity suggests the potential therapeutic use of probiotics, which will modify the composition of gut microbiota, improve obesity treatment, and increase the pace of the weight reduction process (Bischoff and Schweinlin 2020).

Obesity treatment options.

Non-pharmacological treatment of obesity Pharmacological treatment of obesity
Reduction diet GLP 1 analogs (liraglutyd, semaglutyd)
Physical activity Bupropion and naltrexone
Bariatric surgery Orlistat
Phentermine
Gut microbiota

The gut microbiome is a complex ecosystem with numerous microorganisms inhabiting the human digestive tract. The number of bacteria and fungi in the gastrointestinal system is immense – it is estimated that the human gut is colonized by approximately 10 billion microorganisms (Karney 2017). Moreover, gut microbiota is also comprised of viruses – DNA and RNA. It is estimated that gut virome even outnumber bacterial cells, including eucaryotic viruses, endogenous retroviruses, bacteriophages, and archaeal viruses. Less than 1% of human gut virome is estimated to be sequenced (Mukhopadhya et al. 2019). Metagenomic studies of the human gut microbiota have identified over 1000 species of bacteria (Zhu et al. 2010). Until recently, it was believed that the gut microbiota outnumbered the body’s cells by ten. However, current research suggests a more likely ratio of 1:1 (Sender et al. 2016). The majority of bacteria in the human intestines belong to four phyla of microorganisms: Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria (according to the International Committee on Systematics 2021: Bacillota, Bacteroidota, Psuedomonadota and Actinomycetota), with Firmicutes and Bacteroidetes being the most dominant bacteria (Pokrzywnicka and Gumprecht 2016; Frank et al. 2007, Oren and Garrity 2021)

The gut microbiome begins to form from birth, although some study indicates the presence of gut microbiota during the prenatal period. Bacterial presence has been detected in the placenta and amniotic fluid, characterized by low diversity and a predominance of Proteobacteria. A study noted common gut microbiota characteristics detected in the placenta, amniotic fluid, and infant meconium, suggesting microbial transfer even during the fetal period (Collado et al. 2016). The mechanism of this process is not fully explained. It is possible that the transition of bacteria results from the translocation of microbiota located near the mother’s reproductive organs (Panasiuk and Kowalinska 2023). Various factors are believed to influence the composition of gut microbiota. These include breastfeeding/formula feeding, antibiotic therapy administered by the mother during pregnancy, and antibiotic therapy for the child after birth (Karney 2017; Petrov et al. 2021). One of the main factors significantly influencing the composition of gut microbiota is the mode of delivery – newborns delivered by cesarean section do not have contact with the maternal vaginal flora, resulting in a higher likelihood of their gastrointestinal tract being colonized by bacteria such as Clostridium, Enterococcus, Staphylococcus, as well as hospital-acquired bacteria present in the air or on the skin of individuals the baby had contact with during the labor procedure. In comparison, stool samples from infants born vaginally predominantly contain Enterobacterales and bacteria from the genera Bifidobacterium and Bacteroides, which naturally come from the mother’s feces (Karney 2017; Panasiuk and Kowalinska 2023). In a study conducted by Mueller et al., 436 mothers and their children were assessed to examine the influence of the mode of delivery and maternal antibiotic use during pregnancy on the development of obesity in offspring (Mueller et al. 2015). The results obtained indicate that children who were exposed to antibiotic treatment during the prenatal period had an 84% higher risk of obesity. Regardless of antibiotic use, it was also demonstrated that the mode of delivery, specifically cesarean section, was associated with a 46% increased risk of obesity in children (Mueller et al. 2015). Early colonization of the gastrointestinal tract may have implications for future gut microbiota differentiation and indirectly impact human health, possibly even influencing tendencies toward altered nutrient absorption profiles and, consequently - abnormal body weight.

So far, the dynamics of gut microbiota changes in toddlers are not fully known, mainly as high-interin-dividual variability is observed. At the age of 3 years, the gut microbiota pattern becomes more adult-like (D’Argenio and Salvatore 2015). The gut microbiota in adults also changes with age. An impact of this is a modification of lifestyle, diet, drugs, some diseases and even environmental factors, e.g. comparing older people living in their own houses with those living in nursing homes, more diversity is observed in the first group (Panasiuk and Kowalinska 2023).

Diet and gut microbiota

Diet is one of the fundamental factor influencing gut microbiota composition (Leeming et al. 2019). In a study conducted by Wu et al., changes in gut microbiota were examined before and after the introduction of two different diets by study participants. Patients were given a high-fat, low-fibre diet and a low-fat, high-fibre diet. Changes in gut microbiota composition were observed as early as 24 hours after starting the new diet. However, the study results showed significant individual variability in both subgroups despite having the same diet (Wu et al. 2011). Differences in metabolism and gut microbiota composition have also been observed between vegetarians and non-vegetarians, suggesting a significant impact of the diet on the gut microbiome (Wu et al. 2016). Xiao et al. conducted research on the modification of gut microbiota in humans – in 93 volunteers with central obesity, a specific pattern of whole grain and prebiotic-based diet was introduced. This dietary modification resulted in a change in the profile of gut microbiota, with a decrease in opportunistic bacteria (Enterobacteriaceae and Desulfovibrionaceae) accompanied by an increase in beneficial gut barrier-forming bacteria like Bifidobacteriaceae (Xiao et al. 2014). Thus, it can be concluded that the percentage of macronutrients, including carbohydrates, protein, fats, and fibre influences the individual variability of the gut microbiota. Changes in dietary habits towards the unification and westernization of diets are characterized by increased consumption of monosaccharides and fats and reduced fibre intake, which can negatively affect the gut microbiota. It appears that fibre, especially its insoluble fraction, could potentially influence the diversity of the gut microbiota because it undergoes fermentation after consumption, thus providing nutrition for the microorganisms living in the intestines (Chassaing et al. 2017). Other functions of gut microbiota include not only the fermentation of certain food components, which aids in efficient digestion and stimulates intestinal transit but also the production of vitamins and immunomodulatory effects that influence the host’s immune system (Tokarz-Deptula et al. 2016; DiBaise et al. 2008).

On the other hand, some of the gut microbiota and products of their metabolism may have carcinogenic potential (Mima et al. 2017; Honjo et al. 2023). There is no confirmed explanation of how the microbiome influences cancer development. Still, one of the most probable hypotheses is that microorganisms modify the immune response by producing substances that affect cell division rate and apoptosis (Al-Ishaq et al. 2022).

Dysbiosis

Dysbiosis disrupts the microbial community (De Gruttola et al. 2016). It can be caused by an improper diet, the use of xenobiotics, antibiotics, or groups of medications used in the treatment of chronic diseases (e.g., methotrexate, proton pump inhibitors, non-steroidal anti-inflammatory drugs). Furthermore, disorders of the gastrointestinal tract, intestinal infections (bacterial, viral, or fungal), as well as certain chronic diseases such as liver diseases, metabolic and endocrine disorders, and psychiatric conditions (chronic stress, anxiety disorders) can also influence the abnormal composition of gut microbial (Shanahan and Murphy 2011; Baohong et al. 2017). Dysbiosis leads to impaired intestinal barrier functioning, exacerbating local inflammation and increasing systemic inflammation risk (Lin et al. 2022). Moreover, repeated exposure to antibiotics during infancy is linked with a higher risk of obesity (Kesavelu and Jog 2023, Duong et al. 2022).

Microbiological assessment

The standard method for assessing gut microbiota is still the conventional bacterial culture (Karlsson et al. 2013, D’Argenio and Salvatore 2015). However, this method is somewhat limited because it may favor the selection of some species. And in addition, some microbes are uncultivable (D’Argenio and Salvatore 2015). Moreover, genetic analysis methods based on PCR testing are more accurate and preferable due to the many species involved. Such tests allow for a collective identification of the gut microbiota genome based on extracted DNA samples (Sarangi et al. 2019). In recent years, a new technology has become preferred – Next Generation Sequencing (NGS). The method represents an innovative approach applied to the sequencing of DNA and RNA, as well as the identification of variants and mutations. NGS can rapidly sequence hundreds or thousands of genes or an entire genome. The identified sequence variations and mutations through NGS are extensively utilized in disease diagnosis, prognosis, therapeutic decision-making, and patient follow-up. Its extensive parallel sequencing capacity opens up new possibilities for personalized precision medicine, simultaneously reducing sequencing costs (D’Argenio and Salvatore 2015, Behjati and Tarpey 2013). It is important to note that the gut microbiome differs depending on the segment of the digestive tract. This is due to varying conditions present in each segment. The main factors determining these changes include the pH of the environment, the speed of peristalsis, and the types of digestive enzymes and intestinal hormones secreted. The most densely colonized segment by microorganisms is the terminal part of the digestive tract – the large intestine (Canny and McCormick 2008).

Gut microbiota in patients with obesity and normal body weight

Previous studies indicate that the microbiota initially differs between obese individuals and those with a normal body mass (Ley et al. 2006; Dominianni et al. 2015; Bervoets et al. 2013). These studies showed that individuals with a normal body mass have more Bacteroidetes bacteria than Firmicutes. Examples of these bacteria species can be found in Table II. Additionally, it has been observed that the gut microbiota of individuals with higher BMI is characterized by a lower abundance of Rikenellaceae, Alistipes finegoldii, and Alistipes senegalensis bacteria (Zhernakova et al. 2016). In another study, a 20% increase in the abundance of Firmicutes bacteria and a decrease in Bacteroidetes bacteria were associated with an increased energy harvest from food by up to 150 kcal (Jumpertz et al. 2011). Furthermore, in individuals whose diet is fibre-rich, their gut microbiota can produce more short-chain fatty acids (SCFA) such as acetate, propionate, and butyrate (Hur et al. 2015). The presence of those substances promotes lower weight gain by influencing metabolic pathways and intestinal hormone activity (Hur et al. 2015). SCFA, despite being an energy substrate, also influences the regulation of hunger and satiety by affecting hormones responsible for these sensations – mainly ghrelin and peptide YY (Fig. 1). The development of obesity may also be influenced by Pseudomonadota (Proteobacteria) (e.g. family Enterobacteriaceae), which are responsible for producing pro-inflammatory substances and predispose to increased energy storage in the form of fat (Rinninella et al. 2019; Bai et al. 2019; Rizzatti et al. 2017).

Examples of Firmicutes and Bacteroidetes affecting the body mass alteration.

Species of bacteria FIRMICUTES (examples) Species of bacteria BACTEROIDETES (examples)
Faecalibacterium prausnitzii Bacteroides fragilis
Clostridium spp. Bacteroides vulgaris
Roseburia intestinalis Bacteroides uniformis
Blautia obeum Prevotella spp.
Lactobacillus reuteri Alistipes finegoldii
Enterococcus faecium Parabacteroides distasonis
Staphylococcus leei

Fig. 1.

Correlation of diet fibre intake and SCFA (short-chain fatty acids) production leading to food intake control.

A study by Kalliomäki et al. demonstrated that an abnormal composition of gut microbiota precedes the development of overweight and obesity. The study found that the number of Bifidobacteria in fecal samples from infancy was higher in 7-year-old patients with a normal body mass compared to children who are overweight. Additionally, abnormalities were observed in the increased presence of Staphylococcus aureus in fecal samples from infancy in patients who were overweight compared to patients with normal weight (Kalliomäki et al. 2008).

Turngbauh et al. demonstrated that differences in energy extraction from consumed food may depend on the type of gut microbiota. Mice that received transplants of bacteria from obese individuals gained weight more quickly than mice that received gut microbiota transplants from individuals with a normal starting body mass (Turnbaugh et al. 2006). In another study on gut microbiota, twins with different body masses (obese vs. normal BMI) were examined. Fecal samples were taken from both female twins and were transplanted into mice. It was followed by introducing those animals to an identical diet containing low fat and high fibre content. The study showed that mice receiving fecal transplants from a woman with a normal BMI had a greater tendency towards a normal body mass than mice receiving gut microbiota from an obese patient (Ridaura et al. 2013). Therefore, it appears that gut microbiota may influence the phenotype of the host organism (Ridaura et al. 2013; Walker and Parkhill 2013).

In Table III, some examples of bacteria that promote obesity or normal body mass are presented. It is demonstrated that the perturbed ratio of Bacterioidetes/ Firmicutes phylum is linked with increased intestinal permeability, triggering subsequent inflammation characteristic of diabetes (Iatcu et al. 2021). People who suffer from obesity and type 2 diabetes have lower level of Faecalibacterium prausnitzii (phylum Firmicutes) than individuals with obesity but without diabetes (Pokrzywnicka and Gumprecht 2016). Larsen et al. also showed that obesity patients with diabetes mellitus have lower level of Firmicutes compared to obesity patients without diabetes (Larsen et al. 2010).

Bacteria promoting obesity and normal Body mass.

Gut microbiota corresponding with obesity/overweight Ref Gut microbiota in normal BMI Ref
Firmicutes/Bacteroidetes ratio increased (Turnbaugh et al. 2006) Supplementation with Akkermansia muciniphila reduced body weight (Depommier etal. 2019)
Lower level of two species from the family Rikenellaceae, Alistipes finegoldii and Alistipes senegalensis (Zhernakova et al. 2016) Increased levels of Bifidobacterium animals, Lactobacillus paracasei, Lactobacillus plantarum (Million et al. 2012)
Reduced level of Methanobrevibacter smithii (Million et al. 2012) Lactobacillus and Bifidobacterium showed results in reducing body weight (Álvarez-Arraño et al. 2021)
Higher levels of Lactobacillus reuteri (Million etal. 2012) Bifidobacterium infantis, L. acidofilus reducing body weight (Chang et al. 2011)
Use of probiotics in obese patients

Based on the studies conducted so far regarding the correlation of modifying the gut microbiota with body mass reduction, it can be speculated that specific bacterial strains could potentially promote or treat obesity. Therefore, attempts have been made to implement new therapeutic strategies involving probiotics in obesity treatment (Cerdό et al. 2019; Abenavoli et al. 2019). According to The International Scientific Association for Probiotics and Prebiotics, probiotics are “live microorganisms that, when administered in adequate amounts, confer a health benefit on the host” (Hill et al. 2014). Sources have mainly focused on the bacteria strains of Lactobacillus (primarily L. casei, L. gasseri, L. rhamnosus, L. plantarum) and Bifidobacterium (B. infantis, B. longum, B. breve) (Ejtahed et al. 2019). These strains are characterized by low pathogenicity and low antibiotic resistance, making them highly potential with a favorable safety profile (Cerdό et al. 2019). Cerdό et al. mentioned that in most studies, rodents (both mice and rats) supplemented with these bacterial strains exhibited less weight gain (Cerdό et al. 2019). In a survey conducted by Luoto et al., the impact of a perinatal probiotic intervention on the later risk of overweight and obesity in children was evaluated over a 10-year observation period (Luoto et al. 2010). The study involved 159 women randomly given probiotics (colony-forming units of Lactobacillus rhamnosus) or a placebo for four weeks before the expected delivery date. Anthropometric measurements (height, weight, and BMI) were taken on the newborns at 3, 6, 12, 24 months, and 4, 7, and 10 years. It was found that probiotic administration resulted in a reduction in excessive weight gain until the 24–48-month period, particularly noticeable in children who were overweight. Thus, modifying the maternal gut microbiota during pregnancy may influence the child’s growth pattern. In another study, the effects of Lactobacillus acidophilus, Lactobacillus casei, and Bifidobacterium bifidum, given in combination with isoflavones, on weight reduction were assessed (Zhao et al. 2012). After the supplementation, a decrease in body weight and a reduction in fat tissue accumulation were observed. However, a similar effect was not achieved with probiotic supplementation alone. The bacterium Pediococcus pentosaceus LP28 can also have a beneficial impact on obesity treatment. In a study conducted on obese mice, administration of this strain reduced body weight gain and liver lipid content (Zhao et al. 2012). In Table IV, some examples of probiotics that were studied in body mass reduction are mentioned.

Current research regarding the use of probiotics in body mass reduction

Current research regarding the use of probiotics in body mass reduction
Bifidobacterium infantis, L. acidofilusH (Chang et al. 2011)
L. acidophilus in combination with L. casei and BifidobacteriumH (Hadi et al. 2019)
Akkermansia muciniphilaH (Depommier et al. 2019)
L. curvatus HY7601, L. plantarum KY1032H (Jung et al. 2015)
Pediococcus pentosaceus LP28 (Zhao et al. 2012)M
L. casei, L. gasseri, L. rhamnosus, L. plantarumM (Ejtahed et al. 2019)
Lactobacillus acidophilus, Lactobacillus casei, and Bifidobacterium bifidum were given in combination with isoflavonesM (Ali et al. 2004)

M – Mice Studies, H – Human Studies

When considering gut microbiota in obesity, attention should also be paid to the bacterium Akkermansia muciniphila (Derrien et al. 2004). This microorganism primarily resides in the colon’s mucus layer, and its leading role is the breakdown of mucus. It constitutes about 1-4% of the gut microbiota (Macchione et al. 2019). The presence of this bacterium is inversely correlated with the body weight of rodents and humans (Everard et al. 2013). In a study conducted on obese mice, a lower number of A. muciniphila bacteria was observed. Improvements in metabolic health were achieved in these individuals by modifying the gut microbiota and increasing the abundance of A. muciniphila (Everard et al. 2013). Other sources have shown that supplementation with this bacterium is associated with increased insulin sensitivity and higher levels of propionic acid (Panasiuk and Kowalinska 2023). An increase in the number of these bacteria in the intestines has also been observed during the use of metformin, which enhances insulin sensitivity (Panasiuk and Kowalinska 2023). Schneeberger et al. demonstrated that the number of A. muciniphila bacteria depends on the diet. A high-fat diet leads to a decrease in the number of this bacterium in mice. The study also proved that the level of A. muciniphila is inversely proportional to certain indicators of insulin resistance and inflammatory markers (Schneeberger et al. 2015).

Unfortunately, studies on the impact of probiotics on weight reduction have not always yielded the expected results. In a study on mice subjected to a high-fat diet (HFD), an attempt to use probiotics Lactobacillus plantarum DSM 15313 even increased body weight (Cedrό et al. 2019; Andersson et al. 2010). Table V summarizes some studies on the influence of probiotics on body weight.

Summary of effects of probiotics on body weight

Source No. of subjects Study subject Duration Bacteria Delta weight
1. Depommier et al. (2019) 32 Human 3 months Akkermansia muciniphila –2,27 kg +/– 0,92 kg
2. Jung et al. (2015) 120 Human 12 weeks Lactobacillus curvatus HY7601, Lactobacillus plantarum KY1032 –0,65 kg +/– 0,23 kg
3. Andersson et al. (2010) 20 Mice 20 weeks Lactobacillus plantarum DSM 15313 +21,5 g +/– 1,1 g
4. Chang et al. (2011) 101 Human 8 weeks mixture of Streptococcus thermophilus, Lactobacillus acidophilus, Bifidobacterium infantis and extra-ingredients containing Bifidobacterium breve (CBG-C2), Enterococcus faecalis FK-23 –0,24 kg +/– 1,5 kg
5. Yin et al. (2010) 48 Rats 6 weeks Bifidobasteria M13 –4 +51,72 g
6. Hadi et al. (2019) 60 Human 8 weeks Lactobacillus acidophilus, Lactobacillus casei, Bifidobacterium bifidum + inulina –4,01 +/– 4,05 kg

One potential target of treatment obesity was Fecal Microbiota Transplantation (FMT). This treatment consists of attempting stool of a healthy lean donor and transplanting it into the patient’s duodenum or large intestine using endoscopy methods (Pokrzywnicka and Gumprecht 2016). Sources mentioned that FTM results were slight improvements in insulin sensitivity, lipid metabolism and abdominal adiposity but haven’t significantly impacted body weight (Lahtinen et al. 2022).

Conclusions

The obesity epidemic is a significant problem in modern society. Since the primary causes of obesity are primarily related to unhealthy dietary habits and associated disorders, the fundamental form of treatment involves modifying these factors. The differences in gut microbiota composition between obese and normalweight individuals suggest that microbiome diagnostics and procedures aimed at altering it may serve as co-factors in obesity treatment. However, a definitive recommendation for this therapy should be withheld due to the inconclusive nature of studies on using specific bacterial strains for treating or assisting in weight management and the lack of high-quality data. Currently, based on the results of the available studies, the use of probiotics in the treatment of obesity can not be recommended. Nevertheless, the potential lying within the study of gut microbiota is substantial and promising, which may lead to a significant increase in interest in this field and a tremendous amount of data soon.

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Life Sciences, Microbiology and Virology