ISSN: 2376-0419
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Research - (2024)Volume 11, Issue 1
Introduction: This scholarly investigation endeavors to scrutinize the ramifications of antibiotic utilization on executive functions by putting together individuals characterized by an altered gut microbiome due to prolonged antibiotic use (experimental group) with a control group comprising healthy non-antibiotic users. The study cohort comprised 53 participants from each group, selectively sampled from patrons across three clinical establishments.
Methods: The instruments employed for data accrual encompassed the working memory Dane man and Carpenter working memory questionnaire, the Short diagnostic questionnaire of hyperactivity disorder and insufficiency of adults CAARS, and the Dennis and Vander Wal Cognitive Flexibility Questionnaire. The data obtained from the questionnaire were analyzed using SPSS23 statistical software and MANOVA analysis.
Results: The outcomes unveiled a statistically significant disparity in working memory, attention, and cognitive flexibility between the antibiotic-utilizing cohort with an altered gut microbiome and the comparably healthy control cohort (P<0.000). These findings substantiate the proposition that protracted antibiotic usage may exert a discernible influence on specific cognitive processes.
Conclusion: This investigation underscores the potential cognitive ramifications of sustained antibiotic use among individuals harboring an altered gut microbiome. These findings highlight the imperative for further exploration into the mechanistic underpinnings of these effects and their repercussions for patient care.
Antibiotic; Executive functions; Working memory; Attention; Cognitive flexibility; Gut microbiome
One of the most significant medical advances, antibiotics, can save lives. Their extensive use and occasionally even improper use have been motivated by their effectiveness and safety. Antibiotics are among the most commonly given drugs for babies and children. More than two-thirds of infants in specific healthcare settings are given antibiotics before turning two years old, and more than half of children receive at least one antibiotic per year on average, with the maximum incidence occurring in the second year of life [1].
The widespread use of antibiotics, while instrumental in combating infectious diseases, has inadvertently contributed to a shift in health trends. While these drugs have undeniably saved countless lives, their pervasive use has also raised concerns about potential implications for the immune system. Simultaneously, the prevalence of infectious diseases has decreased in many nations during the last several decades. Still, immune-related disorders such as inflammatory bowel diseases, diabetes, rheumatological ailments, and allergy disorders have increased significantly during that time [2,3]. This complex interplay between antibiotics benefits and unintended consequences underscores the intricate relationship between medical advancements, disease patterns, and the immune system's response.
Prolonged antibiotic administration has been linked to an elevated susceptibility to various chronic inflammatory conditions, including obesity, cancer, and colon neoplasia [4-6]. A recent investigation revealed a notable association between antibiotic use and increased prevalence of cardiovascular disease among individuals in their fifth and sixth decades, differing from the trends observed in both younger and older cohorts [7]. These correlations are presumably rooted in the alterations induced by antibiotics, posited to influence gut microbiota composition, as suggested by empirical findings [8,9].
Antibiotics serve as a primary intervention in the management of gut-associated disorders. In symbiotic harmony with the host, the human gut microbiome embodies a rich reservoir of functional genes that collectively comprise the human genome. A comprehensive study cataloging functional genes within the human gut microbiome, spanning 1,200 healthy individuals across three continents, identified a vast repertoire of 9 million unique microbial genes [10]. Notably, these microbial functionalities include catalytic pathways facilitating the breakdown of complex carbohydrates, yielding essential shortchain fatty acids pivotal for gastrointestinal epithelial cell energy provision, anti-inflammatory responses, and anti-proliferative properties [11]. Moreover, the microbiome contributes diverse bioactive metabolites such as vitamins, hormones, and neurosignaling molecules like serotonin, potentially synthesized through microbial tryptophan metabolism [12]. This abundance of functionally encoded genes in the mammalian gut microbiota plays a fundamental role in critical aspects of physiological development [13].
Prolonged antibiotic administration engenders lasting perturbations in specific bacterial genes and an enduring shift in the overall composition of the gut microbiota, persisting for months to years subsequent to the termination of antibiotic therapy. Notably, even though certain bacterial species reestablish themselves following the antibiotic regimen, these enduring alterations persist [14].
Empirical investigations have established a discernible association between antibiotic usage and cognitive performance. Experimental evidence indicates that children exposed to antibiotics exhibit diminished cognitive outcomes [15,16]. Moreover, in the context of Alzheimer's disease, a twelve-month course of doxycycline combined with rifampin, when compared to a placebo, leads to a decline in cognitive capacities in affected individuals [17].
The encompassing term for cognitive impairments, ranging from mild to severe dementia, includes a spectrum of conditions [18-20]. Given its widespread prevalence, substantial rate of impairment, and burgeoning global economic burden, this disorder stands as a significant public health challenge [21].
An integral facet of cognitive function involves the construction of internal representations of the sensory environment [22]. The retention of sensory information in working memory is linked to low-dimensional population dynamics and ongoing sensory activity, often depicted as absorption regimes within the characterization of dynamic brain systems [23].
Recent investigations have introduced the concept of intermittent bursts of activity or "silent activity" processes to elucidate the preservation of stored sensory information in working memory [24]. By effectively integrating recent experiences with previously acquired schemas, working memory serves as a cognitive mechanism, actively retaining information to support cognitive processes [25].
The cognitive process of working memory is fundamentally responsible for the processing and short-term retention of information, serving as a linchpin for various intricate cognitive functions [26]. It operates as a finite-capacity system dedicated to the short-term storage of data, facilitating the smoother transition of information from short-term to long-term memory when both working and long-term memory collaboratively function. In the active execution of cognitive tasks, this tripartite system transiently houses information. Notably, working memory operates not merely as a passive repository but as a mental workspace, enabling the manipulation and assimilation of factual data, comprehension of verbal and written language, decision-making, and problem-solving [27].
Human cognition involves the critical function of attention, defining it as the cognitive capacity to select specific environmental information for further processing, leading to the emergence of focus and awareness. The multifaceted nature of attention allows for its delineation along several axes, creating a multidimensional conceptual framework. One initial distinction lies in the definition of attention, where one perspective views attention as a finite resource utilized in information processing [28,29]. Another aspect pertains to the process of selecting which information to analyze first, forming another facet of attention [30,31].
Embedded within this definition are three foundational conceptual elements. Firstly, cognitive flexibility is acknowledged as an acquirable skill, implying its developmental potential through experience. Secondly, adapting cognitive processing methods is identified as a pivotal component of cognitive flexibility. As proposed, a strategy embodies a sequence of actions exploring a problem space [32].
Cognitive flexibility transcends discrete actions, primarily involving the adaptation of complex behaviors. In professional contexts, this adaptation often involves accommodating unforeseen environmental changes after a period of familiarity with a task. While resilience may connote an individual's capacity to adapt, it does not invariably signify adaptability. On the other hand, cognitive inflexibility signifies an individual's incapacity to adjust to situations demanding adaptability in response to shifts in the surrounding environment. A manifestation of cognitive inflexibility emerges when individuals persistently employ strategies that were effective in previous contexts but prove inadequate in novel circumstances [33].
Antibiotics exert a substantial impact on the composition of the gut microbiota, necessitating precise and vigilant regulation, as emphasized by Babakhani and Hosseini [34]. The disruption in gut microbiota equilibrium induced by antibiotics and antimicrobial agents may lead to behavioral anomalies, heightened anxiety, and stress. Notably, a study involving mice subjected to a seven-day course of neomycin, bacitracin, and pimaricin demonstrated altered anxiety-related behavior; however, after a 14-day period without antibiotics, the behavior reverted to a normal state [35].
The bidirectional communication pathway known as the braingut axis, significantly influenced by the gut microbiome, has been associated with various neuropsychological disorders. These disorders encompass depression, schizophrenia, autism, and anxiety, as noted by Carabotti et al., [36-40]. Furthermore, a burgeoning body of evidence posits a potential involvement of the gut microbiome in the progression of dementia. Animal-based research indicates that alterations in both oral and intestinal microbial compositions might contribute to the formation of amyloid plaques. Small-scale cross-sectional studies have revealed distinct compositional variations between individuals affected by Alzheimer's disease and those without the condition [41-44].
However, there remains a shortage of comparative research addressing the extensive and prolonged utilization of antibiotics and its implications on executive functions in individuals experiencing gastrointestinal microbiome disorders. Hence, the central objective of the present study is to explore potential disparities in executive functions specifically, memory, attention, and cognitive f lexibility between patients with intestinal microbiome issues undergoing antibiotic treatment and a healthy cohort not subjected to antibiotic therapy.
This research displays a descriptive causal-comparative study design. The statistical population within the experimental group consisted of 61 individuals afflicted with intestinal microbiome issues, seeking treatment across four distinct clinics, all of whom had undergone a minimum of three months of antibiotic therapy. Employing Cochran's formula, a random sample of 53 individuals was selected from this population. The control group, comprising 53 healthy individuals, was chosen from among the companions of the patients, ensuring a careful matching process with the experimental group from the same clinical settings.
Data collection tools
In order to collect data, Dennis and Vander Wal's Cognitive Flexibility Questionnaire, Daneman and Carpenter's Working Memory Questionnaire, and a Short diagnostic questionnaire on hyperactivity disorder and insufficiency of adults CAARS were used in this research.
1. Dennis and vander wal cognitive flexibility questionnaire: The questionnaire, devised by Dennis and Vander Wal in 2010, encompasses 20 items rated on a 7-point Likert scale, spanning from "completely agree" to "completely disagree." Scores on this questionnaire range from a minimum of 20 to a maximum of 140, with a predefined cutoff point set at 80. Dennis Vander Wal outlined the reliability of the questionnaire using Cronbach's alpha, indicating coefficients of 0.91 for the overall scale, 0.91 for the perception of controllability, and 0.84 for the perception of different options. In an Iranian study conducted by Moradzadeh and Pirkhafi, the overall reliability of the questionnaire, determined through Cronbach's alpha, was reported as 0.74 [45,46]. Additionally, the subscales assessing perception of controllability, perception of different options, and perception of justification of behavior exhibited reliability coefficients of 0.55, 0.72, and 0.57, respectively.
2. Daneman and carpenter working memory questionnaire: The instrument, formulated by Daneman and Carpenter, comprises 27 sentences distributed across six sections of varying sentence lengths: Two-sentence, three-sentence, four-sentence, five-sentence, six-sentence, and sevensentence segments. These segments, ranging from two to seven sentences each, are orally presented to participants and contain complex and disparate content. Post-reading, participants engage in two tasks: firstly, assessing the semantic accuracy of each sentence, and secondly, recording the final word in every sentence. The working memory test score is computed by dividing the number of accurate responses in each section by the total number of sentences. The cumulative scores from all sections are aggregated and halved to determine the individual's active memory capacity. Daneman Carpenter evaluated the tool's reliability through its correlation with a verbal academic aptitude test, yielding a coefficient of 0.59 [47].
3. Short diagnostic questionnaire of hyperactivity disorder and insufficiency of adults CAARS: The CAARS short diagnostic questionnaire designed for assessing ADHD in adults comprises 26 items, each rated from zero to three points across four distinct subscales. These subscales delineate various aspects: Attention deficit and memory issues, hyperactivity and restlessness, impulsiveness and emotionality, and problems with overall self-perception. Raw scores obtained from each subscale are transformed into t-scores utilizing normative tables where the scale's mean is 50, and the standard deviation is 10. T-scores surpassing 65 are indicative of clinical significance. In a study conducted by Lashkaripour et al., involving 420 participants, the questionnaire exhibited a high level of validity, demonstrated by Cronbach’s alpha coefficient of 0.93 [48]. This instrument serves the purpose of symptom evaluation and diagnosing ADHD in adults.
Findings
The following table shows the results related to the descriptive characteristics of the two groups in cognitive differences, attention, and working memory (Table 1):
Variable | Indicators of central tendency | Dispersion tendency indices | |||
---|---|---|---|---|---|
Median | Mean | Variance | Standard deviation | ||
Alternatives | Antibiotic users | 3.14 | 3.21 | 0.79 | 0.888 |
Healthy | 4.42 | 4.32 | 0.281 | 0.53 | |
Control | Antibiotic users | 3.42 | 3.32 | 0.791 | 0.889 |
Healthy | 4.28 | 4.18 | 0.291 | 0.539 | |
Alternatives to human behavior | Antibiotic users | 3 | 2.93 | 0.537 | 0.732 |
Healthy | 4.33 | 4.25 | 0.308 | 0.555 | |
Cognitive flexibility | Antibiotic users | 3.2 | 3.17 | 0.499 | 0.706 |
Healthy | 4.4 | 4.27 | 0.247 | 0.496 | |
Memory problem | Antibiotic users | 3.66 | 3.6 | 0.68 | 0.824 |
Healthy | 4.16 | 4.17 | 0.182 | 0.426 | |
Restlessness and instability | Antibiotic users | 4 | 3.82 | 1.222 | 1.102 |
Healthy | 3.85 | 3.91 | 0.339 | 0.582 | |
Being impulsive and emotional | Antibiotic users | 3.33 | 3.29 | 0.368 | 0.606 |
Healthy | 4 | 4.02 | 0.284 | 0.532 | |
Problems with the overall picture | Antibiotic users | 2.85 | 2.68 | 0.736 | 0.857 |
Healthy | 4.35 | 4.29 | 0.309 | 0.555 | |
Attention | Antibiotic users | 3.36 | 3.37 | 0.259 | 0.508 |
Healthy | 4.03 | 4.07 | 0.148 | 0.384 | |
Working memory | Antibiotic users | 3.18 | 3.21 | 0.411 | 0.641 |
Healthy | 4.31 | 4.3 | 0.105 | 0.323 |
Table 1: Descriptive and sample characteristics of measured variables.
The gathered data underwent analysis using the statistical techniques of Multivariate Analysis of Variance (MANOVA) and t-tests, employed to compare the means of two independent groups. The utilization of the MANOVA method necessitates the fulfillment of its underlying preconditions for accurate application (Tables 2-4).Tables 2-4, show the results of default MANOVA tests. The presuppositions are established based on the results obtained, and MANOVA can be used. The results of the data analysis with the MANOVA method are shown in Table 5. Based on the above table, there is a significant difference in cognitive flexibility, attention, and working memory variables between two healthy groups and antibiotic users. In this way, the healthy group's total cognitive flexibility, memory, and attention scores are significantly higher than those of the antibioticconsuming group.
Significance level | F statistic | BOX M |
---|---|---|
0.211 | 3.202 | 8.712 |
Table 2: Box test to check the assumption of homogeneity of the variance-covariance matrix.
Test | Value | F statistic | Degrees of freedom | Statistical significance | Eta-squared |
---|---|---|---|---|---|
Wilks's lambda | 0.542 | 9.279 | 3 | 0.001 | 0.101 |
Table 3: Wilks's lambda test in multivariate variance analysis of research variables.
Variables | F statistic | Df1 | Df2 | Statistical significance |
---|---|---|---|---|
Cognitive flexibility | 3.315 | 1 | 138 | 0.109 |
Attention | 3.648 | 1 | 138 | 0.116 |
working memory | 2.589 | 1 | 138 | 0.24 |
Table 4: The results of Levin's test check the assumption of equality of variances of the research variables.
References | The dependent variable | Sum of squares | Degrees of freedom | average of squares | F statistic | Significance level | Eta-squared |
---|---|---|---|---|---|---|---|
Group | Flexibility | 41.04 | 1 | 41.04 | 110.13 | 0.001 | 0.44 |
Attention | 17.61 | 1 | 17.61 | 86.74 | 0.001 | 0.386 | |
Working memory | 41.13 | 1 | 41.13 | 159.45 | 0.001 | 0.536 | |
Error | Flexibility | 51.42 | 138 | 0.373 | - | - | - |
Attention | 28.01 | 138 | 0.203 | - | - | - | |
Working memory | 35.6 | 138 | 0.258 | - | - | - |
Table 5: Results of data analysis with multivariate analysis of variance.
The examination of the primary hypothesis within this study unveiled a noteworthy disparity in the domains of working memory, attention, and cognitive flexibility between the group utilizing antibiotics and the healthy control. Specifically, the scores pertaining to working memory, concentration, and cognitive flexibility were significantly higher in the healthy group in contrast to the antibiotic user group. These findings are consistent with various research outcomes, aligning with the works of Liu et al., [49], Tamada et al., [50], Slob et al., [51], Saji et al., [11], and Slykerman et al., [15,16]. However, the epidemiological data regarding long-term antibiotic use and its correlation with cognitive functions are relatively sparse and explore disparate contexts compared to the current study. For instance, studies on antibiotic exposure during infancy suggest associations with reduced cognitive abilities, verbal comprehension at 11 years old, and depressive symptoms at three years of age [15,16], hinting at a potential temporal gap between antibiotic use and subsequent neurocognitive manifestations.
Nevertheless, extending the implications derived from infant antibiotic use to the outcomes observed in adult subjects in our research presents a challenge. Notably, the study by Heianza et al., [7] examining the "Duration and Life Stage of Antibiotic Use and Risk of Cardiovascular Events in Women" involving 36,429 women revealed that prolonged antibiotic exposure heightened the risk of contracting cardiovascular disease in various life stages, including adulthood, middle age, and old age. Considering the profound influence of antibiotics on the gut microbiome, as evidenced in studies displaying alterations in functional potential even up to 2 [8], and four years’ postantibiotic exposure, the potential mechanism connecting antibiotics with cognitive function could involve the gut-brain axis. Indeed, recent research has increasingly highlighted the relationship between gut bacteria and the gut-brain axis, as observed in studies by Carabotti et al., [40], Valles-Colomer et al., [36], and Zhu et al., [37,52]. Additionally, recent cross-sectional data from smaller-scale studies have demonstrated significant taxonomic differences in the gut microbiomes of individuals with Alzheimer's disease compared to healthy individuals [44].
The initial hypothesis examination has revealed significant findings, elucidating a marked discrepancy in working memory between the cohort using antibiotics and the healthy control group. Specifically, the group exposed to antibiotics displayed diminished scores in working memory, corroborating earlier research [11,15,16,40,50,51].
Furthermore, the investigation conducted by Zhao, Cong, Jabe, and Lukiw, focusing on "Microbiome-derived lipopolysaccharide enriched in the perinuclear region of Alzheimer's disease brain," documented an enrichment of microbiome-derived lipopolysaccharide in the perinuclear region of brains affected by Alzheimer's disease, identifying its presence in the hippocampus of Alzheimer's patients [53]. Our results concur with these studies, indicating that our subjects exhibited lower scores on working memory assessments compared to the healthy group, signifying impaired memory function. Although the precise mechanisms underlying the gut microbiome's impact on human cognitive functions remain enigmatic, animal studies strongly advocate the gut microbiome's pivotal role in regulating brain function and behavior.
The intricate functional pathways responsible for communication between the gut microbiome and the brain, often termed the "gut-microbiome-brain cross-talk," delineate a bidirectional communication network encompassing neuroendocrine signaling pathways, neural pathways, and circulatory pathways. This network facilitates the transportation of microbial metabolites, toxins, pro inflammatory agents, and the activation of neuroendocrine cells attributed to microbial metabolites, which are believed to be fundamental in modulating cognitive functions [54].
Furthermore, an increased prevalence of pro-inflammatory gut microbiome taxa coupled with a decrease in anti-inflammatory taxa might be linked to the inflammatory status observed in patients affected by cognitive disorders and brain amyloidosis. This association finds support in a study examining gut-brain modules in fecal metagenomes, revealing the synthesis of microbial metabolites and suggesting a potential role of these compounds in the onset of depression [11]. Moreover, it is imperative to acknowledge the association between antibiotics and cognitive disorders.
Another key finding from the secondary hypothesis underscores a substantial difference in attention levels between the group using antibiotics and the healthy control group. Our results indicate a correlation between exposure to antibiotic medications and an increased susceptibility to attention deficit disorder. These results align with prior research [11,15,16,43,50,51,53].
Elucidating this discovery necessitates recognition of adult attention deficit, a prevalent and complex issue. Recent estimates indicate its occurrence in children at approximately 6% to 9%, with a considerable proportion of these individuals continuing to experience symptoms into adulthood, affecting their professional, social, and familial aspects to various extents. This implies that roughly 3% to 6% of adults contend with these symptoms, impacting their ability for purposeful behavior and mood regulation, potentially due to alterations in the frontal cortex, dopamine and noradrenaline levels, and structural changes in the striatum and cortex. These factors compromise intentional behavior and heighten the likelihood of impulsive actions. Furthermore, attention deficits often correlate with work and relationship instability, manifesting as restlessness, mood swings, or difficulty concentrating. These manifestations might occasionally be overlooked or misattributed to other conditions like anxiety or depression [55].
In another investigation concerning the link between Shigellosis during early childhood and attention deficit hyperactivity disorder identified a substantial correlation between positive Shigella results in stool cultures and attention deficit hyperactivity disorder. Specifically, 10.6% of children with Shigella-positive cultures and 8.6% of those with Shigella- negative cultures exhibited symptoms of ADHD. Our study's outcomes align with this observed correlation [56]. Additionally, Sadaka et al., delved into the association between antibiotic treatment for early childhood Shigella infection and attention deficit hyperactivity disorder risk [57]. Their findings suggested that the timing of antibiotic administration plays a pivotal role, with children receiving antibiotics at a later stage exhibiting a significantly higher risk of developing ADHD compared to those who did not receive antibiotics. Therefore, the impact of antibiotic treatment, including its timing, on attention deficits could be influenced by multiple potential pathways. Antibiotic treatment can suppress bacterial activity, reducing toxin production and the associated inflammation duration, thereby mitigating attention deficit disorder. Moreover, antibiotic administration exerts a substantial and enduring influence on the human microbiome, independently affecting the prevalence of neurodevelopmental disorders, irrespective of Shigella infection's involvement.
Furthermore, the results from the third hypothesis accentuate a notable divergence in cognitive flexibility between the antibiotic- using group and the healthy control group. When considering these findings alongside earlier investigations, they suggest that manipulating the composition of the gut microbiome may serve as a possible mechanism for diminishing cognitive flexibility. These research findings harmonize with studies conducted by [15,16,34,55,58].
In the research conducted by Anderson et al., [58], an exploration into the intricate relationship among gut microbiota, sleep patterns, and cognitive flexibility was undertaken with a cohort of 37 healthy elderly participants, averaging between 59 and 64 years of age. Their findings illuminated a correlation between enhanced sleep quality, improved performance in the Stroop task, and a higher prevalence of distinct intestinal microbial phyla, notably Verukomicrobia and Lentisphara. Understanding this correlation is essential in comprehending the influence of alterations in gut microbiome composition on cognitive flexibility, learning, memory, and the accumulation of β-amyloid in the cerebral cortex.
Cognitive flexibility encompasses executive control processes that rely on intricate interactions within extensive brain networks, facilitating pivotal functions such as salient recognition, attention, inhibition, working memory, and switching processes. These processes are critical for individuals to adapt, pivot, and challenge automatic assumptions. However, these faculties are compromised in individuals with gut microbiomes influenced by antibiotic consumption. Human adaptability, flexibility, and creativity are contingent on the ability to adjust responses to evolving circumstances. Impairment in this ability, observed in patients with antibiotic-affected gut microbiomes, hampers their capacity to adapt to environmental changes. Notably, the presence of an increased number of neural pathways and connections in the brain enhances information processing and speeds up decision-making. An abundance of pathways facilitates efficient communication, leading to quicker information processing and decision-making among individuals.
After all, executive function disparities, especially in individuals using antibiotics and exhibiting an altered gut microbiome, have garnered considerable attention due to their implications for cognitive health. Research consistently demonstrates a pronounced relationship between antibiotic use, gut microbiome alterations, and cognitive function discrepancies, observed explicitly in working memory, attention, and cognitive flexibility. Studies by Anderson et al., [58] Tamada et al., [50] Slob et al., [51] and Saji et al., [11] underscore substantial cognitive impairments in antibiotic-exposed groups, illuminating the intricate association between antibiotics, the gut microbiome, and cognitive abilities. Furthermore, additional studies highlight the relationship between the makeup of gut microbes and cognitive abilities [53].
This study uncovers a nuanced yet impactful decline in cognitive performance linked to antibiotic use, spotlighting the intricate and far-reaching implications across an individual's lifespan. The implications extend beyond immediate concerns to a comprehensive evaluation of the potential long-term effects of antibiotic therapies, emphasizing the need for a balanced consideration of their risks and benefits. It encourages contemplation of the complex interconnections between the gut microbiome and cognitive faculties, emphasizing the growing significance of the gut microbiome in various aspects of health.
In essence, this research serves as a clarion call for understanding the potential impact of antibiotic use on cognitive performance, advocating for a holistic approach in healthcare strategies, and informed decision-making regarding antibiotic treatments. This work encourages further in-depth explorations into the gut-brain relationship to refine health approaches and preserve cognitive health in individuals undergoing antibiotic treatments.
This study's data, analytic methods, and materials are available to other researchers for replication purposes. Interested parties can find these details in the manuscript. Furthermore, studies reported in this manuscript were not pre-registered.
GJ provided data, conducted all statistical analyses, and helped to write the manuscript, and SJ helped to design the study and write the manuscript. All authors reviewed the final manuscript.
Statement for people/funding: NA.
All co-authors have seen and agree with the manuscript's contents, and there is no financial interest to report. Therefore, we certify that the submission is an original work and is not under review at any other publication.
The lead authors confirm that this publication is an honest, accurate, and transparent description of the study, that no critical components of the investigation have been omitted, and that any deviations from the intended research (and, if applicable, recorded) have been explained.
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Citation: Hossein Javanmard G, Javanmard S (2024) Exploring the Impact of Antibiotic Consumption on Cognitive Functions in Individuals with Altered Gut Microbiome: A Comparative Analysis. J Pharm Care Health Syst. 10:311.
Received: 15-Feb-2024, Manuscript No. JPCHS-24-29597; Editor assigned: 19-Feb-2024, Pre QC No. JPCHS-24-29597(PQ); Reviewed: 04-Mar-2024, QC No. JPCHS-24-29597; Revised: 11-Mar-2024, Manuscript No. JPCHS-24-29597(R); Published: 18-Mar-2024 , DOI: 10.35248/2376-0419.23.10.311
Copyright: © 2024 Hossein Javanmard G, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.