Literature DB >> 33875817

The aging gut microbiome and its impact on host immunity.

Nabil Bosco1, Mario Noti2.   

Abstract

The microbiome plays a fundamental role in the maturation, function, and regulation of the host-immune system from birth to old age. In return, the immune system has co-evolved a mutualistic relationship with trillions of beneficial microbes residing our bodies while mounting efficient responses to fight invading pathogens. As we age, both the immune system and the gut microbiome undergo significant changes in composition and function that correlate with increased susceptibility to infectious diseases and reduced vaccination responses. Emerging studies suggest that targeting age-related dysbiosis can improve health- and lifespan, in part through reducing systemic low-grade inflammation and immunosenescence-two hallmarks of the aging process. However-a cause and effect relationship of age-related dysbiosis and associated functional declines in immune cell functioning have yet to be demonstrated in clinical settings. This review aims to (i) give an overview on hallmarks of the aging immune system and gut microbiome, (ii) discuss the impact of age-related changes in the gut commensal community structure (introduced as microb-aging) on host-immune fitness and health, and (iii) summarize prebiotic- and probiotic clinical intervention trials aiming to reinforce age-related declines in immune cell functioning through microbiome modulation or rejuvenation.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Mesh:

Year:  2021        PMID: 33875817      PMCID: PMC8054695          DOI: 10.1038/s41435-021-00126-8

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


Introduction

Age-related declines in the immune system significantly affect the health and well-being of the elderly [1]. Such loss of power of the immune system, termed immunosenescence, correlates with decreased vaccination responses and increased incidence and severity of infectious disease [2]. This is once more exemplified by the current COVID19 pandemic, where age and frailty are among the strongest predictors for morbidity and mortality to SARS-CoV-2 infection [3, 4]. Aging does not only impair proper immune cell functioning, but virtually affects all tissues and cellular circuits in our bodies resulting in frailty and death. Even the trillions of microbes that host our bodies are not exempt from aging and its consequences. While the microbiota is relatively stable throughout adulthood, aging induces significant shifts in gut microbiome composition and function associated with a decline in diversity [5]. Given the intimate involvement of the gut microbiome in proper functioning of the host-immune system [6-8], targeting age-related dysbiosis may represent an attractive strategy to prevent or restore functional declines in immune responses as we age. This may occur indirectly through sustaining intestinal tissue function and regeneration thus reducing microbial extravasation, uncontrolled activation of immune cells and inflammaging or through direct effects on the hematopoietic stem cell niche or hematopoiesis itself. With a central role of the gut microbiome on the immune system, future vaccine successes and strategies to reinforce the aging immune system critically depend on a better understanding of the aging host–microbe superorganism.

General hallmarks of immune aging

Immunosenescence

While aging mainly refers to chronological aging (time), each individual ages biologically with a different pace reflecting individual cumulative erosion of the various tissues, organs, or systems [9]. Biological age is influenced by each individual’s genetics, environment, and lifestyle [10, 11]. The term “immunosenescence” was introduced few decades ago to refer to functional impairments, faulty or aberrant immune responses observed in elderly [1]. Age-related changes in the quality and quantity of immune responses lead to a progressive decline in the ability to trigger effective antibody and cellular responses against infections and vaccinations [2, 12]. This is exemplified by epidemiological studies associating elderly (often defined as people older than 65 years) with higher risk for infections, autoimmune disorders, malignancies and mortality [13, 14]. Cellular and molecular features of immunosenescence were described for both the innate and adaptive immune system [15, 16]. T-lymphocyte biology of aging was prominently studied, but all hematopoietic-derived cells show hallmarks of aging including the presence of dysfunctional antibody-producing B cells, antigen-presenting cells, natural killer cells, and neutrophils [2-5]. Epigenetic alterations were also reported in the earliest hematopoietic progenitors that may explain observed age-related myeloid skewing [17]. Despite the biology of immune aging is an intensively studied topic and strategies to remove senescent cells from our bodies using senolytics are emerging, there is still no consensus on the triggers of senescence. Aging of primary lymphoid organs (bone marrow and thymus attrition), chronic antigenic overload (e.g., CMV), gut dysbiosis or inflammation are proposed drivers of immunosenescence that together with an accumulation of genetic defects, cellular stress, and/or cell exhaustion cause a drop in immune fitness as we age [18-21].

Inflammaging

Inflammation is a highly controlled physiological process critical to fight pathogens, mop up debris and heal injuries [22]. As we age, the dynamic balance of pro- and anti-inflammatory networks declines as a result of a complex and changing interplay of genetic, environmental, and lifestyle factors [23, 24]. This non-resolving, chronic inflammatory state—termed inflammaging—represents a significant risk factor for both morbidity and mortality [25]. Several factors including chronic infections, physical inactivity, visceral obesity, diet, psychological stress, sleep deprivation, or intestinal dysbiosis can initiate and maintain inflammaging [26]. Chronic exposure to stressors promotes cell senescence and dysregulation of innate immunity—a major characteristic of inflammaging—that mirrors in consistently elevated local and systemic levels of inflammatory mediators with interleukin-6 (IL-6), tumor necrosis factor-α (TNFα), IL-1β, and C-reactive protein (CRP) commonly reported in aged individuals [27]. Although dysregulation of an innate monocyte-macrophage network may be at the center of inflammaging [28, 29], emerging evidence suggest a critical role for senescent cells including T and B cells that through their senescent-associated secretory phenotype contribute to chronic low-grade inflammation [30]. In return, chronic expression of or exposure to inflammatory stimuli may render pre-activated immune cells refractory to further stimulation leading to the observed increased frequency and severity of infectious diseases in the elderly. Thus, preexisting inflammation has been demonstrated to be an important determinant of vaccine responsiveness [31, 32]. Indeed, chronic low-grade inflammation has a negative impact on host immunity, as elevated inflammatory responses are detrimental for vaccine efficacy against influenza [33] or yellow fever [34]. In this context, clinically approved drugs with immunomodulatory properties such as metformin, imiquimod [35] and anti-inflammatory drugs (e.g., aspirin and NSAIDS) may represent attractive approaches to increase efficacy of vaccines by transiently alleviating chronic low-grade inflammation prior to vaccination [36, 37]. Further, inflammaging may have multiple health consequences by fueling age-associated diseases including metabolic syndrome, cardiovascular disease, sarcopenia, cancer, and neurodegenerative diseases as most if not all age-related disorders share an inflammatory signature. Despite communalities between aging, inflammation, and chronic disease, biomedical research continues to spend billions of dollars to tackle each of these disease states individually [38]. This raises the provocative question whether targeting chronic low-grade inflammation or the mechanisms causing inflammaging may slow down aging and its associated diseases. While preclinical studies suggest inflammation as a causative factor of age-related disease and reduced immune responsiveness [39, 40], human data confirming this hypothesis is largely missing. However, a recent study generated by The Canakinumab Anti-inflammatory Thrombosis Outcome Study holds big promise for gerosciences. Treatment of more than 10,000 stable patients with previous myocardial infarction with Canakinumab (a human monoclonal antibody targeting interleukin-1β) significantly reduced systemic low-grade inflammation in study participants [41, 42]. Importantly, treatment regimens prevented recurrent vascular events as well as incidence of lung cancer [43]. While such studies evoke hope for efficacious anti-aging therapies, reducing systemic inflammation through targeted blockade of key inflammatory mediators needs to be carefully balanced with regard to susceptibility to infectious disease [42]. More recently, the importance of inflammation in aging associated complications lead to the development of a variety of immune metrics claiming to predict morbidity and mortality. Such immune metrics include iAGE based on an inflammatory age score [44], GlycanAge relying on immunoglobulins glycation [45] or Nightingale health index where systemic inflammation with glycoprotein acetylation (GlycA) predicts long-term risk of respiratory infections, cardiovascular diseases and all-cause mortality [46]. With health management in aging societies becoming a growing economic burden, such immune metrics represent promising tools to identify at risk individuals for early pharmacological or nutritional intervention [47].

Aging and the gut microbiome—growing old with our intimate friends

Similar to host-cellular systems, the gut microbiome undergoes dynamic changes through time as it integrates and responds to signals from the environment [48, 49]. Diet, drug use, physical activity, and social environment are among the factors that constantly shape the composition and function of the gut microbiome [50]. An imbalance in the microbial community structure—referred to as dysbiosis—is a common accomplice of age-related disorders that collectively represent the leading cause of disability and mortality worldwide [51]. To cope with a constant changing environment, the gut microbiome responds in a dynamic manner both through changes in bacterial species composition and metabolic function. This process is tightly regulated by the host-immune system that figures as an architect to shape the gut microbiome by allowing commensal bacteria to thrive and occupy mucosal niches while selectively eliminating or neutralizing harmful microbes. As immune fitness progressively declines with age, surveillance of this dynamic host–microbial handshake is impaired resulting in wide-ranging functional consequences for host health and immunity (Fig. 1).
Fig. 1

Microb-aging and related consequences for host immunity—a hypothetical model.

Age-related changes in gut-microbial communities and associated declines in intestinal tissue function may fuel inflammaging, creating a vicious cycle further impacting host-microbiome interactions (1). Chronic immune stimulation as a consequence of systemic low-grade inflammation and changes in the metabolome and microbial stimuli contribute to immunosenescence (2) that together with impaired immune repopulation (e.g., thymic involution, altered hematopoiesis) result in increased infection risk, and poor vaccination responses in the elderly (3).

Microb-aging and related consequences for host immunity—a hypothetical model.

Age-related changes in gut-microbial communities and associated declines in intestinal tissue function may fuel inflammaging, creating a vicious cycle further impacting host-microbiome interactions (1). Chronic immune stimulation as a consequence of systemic low-grade inflammation and changes in the metabolome and microbial stimuli contribute to immunosenescence (2) that together with impaired immune repopulation (e.g., thymic involution, altered hematopoiesis) result in increased infection risk, and poor vaccination responses in the elderly (3). In humans, age-related dysbiosis—here introduced as microb-aging—is characterized by a loss in Clostridiales and Bifidobacterium, with an enrichment in Proteobacteria and an overrepresentation of pathobionts such as Enterobacteriaceae [48, 52, 53]. The current knowledge of age-related changes in gut microbiota composition, function and diversity has been comprehensively reviewed elsewhere [54-58]. Environmental factors, diet or medication have a profound impact on gut microbiome composition and function [59, 60]. However, the assembly of gut-microbial community structures may also be dictated by host organ function. Given the intestine is subject to significant age-related changes in tissue function and integrity such as alterations in regenerative capacity, epithelial barrier formation, mucus layer composition, and peristalsis [61-63], it is likely that changes in the mucosal niche contribute to dysbiotic states as we age [64]. Such subclinical changes in intestinal integrity may promote microbial extravasation to systemic sites, systemic low-grade inflammation, onset of chronic inflammatory disease, and premature mortality. However, identifying causal relationships in humans remain challenging and are discussed below. Although we are starting to understand how bacterial taxonomic composition and diversity change in response to age, our knowledge on bacterial evolution and associated functional consequences for host fitness remains enigmatic. Two scenarios are possible: (i) observed age-related changes in gut-microbial community structures are a simple consequence of physiological tissue adaptations occurring during host aging or (ii) age-related dysbiosis is a product of bacterial evolution that directly triggers host aging by enabling specific bacterial taxa to escape immune surveillance. A better knowledge of the aging host–microbial superorganism is thus of utmost importance to forge ahead microbiome-based therapies to fight aging and age-related diseases.

Microb-aging—driver of immunosenescence and frailty?

Age-related alterations in the composition of the intestinal microbiota not only occur in humans but also laboratory model organisms—from flies to fish to mice. These model systems that control for genetics, age, diet, and the microbiome itself provide strong scientific evidence that intrinsic alterations in host physiology or microbial evolution are sufficient to promote a dysbiotic state [65, 66]. Importantly, these model organisms have demonstrated that the gut microbiome has the potential to beneficially modulate aging processes to promote health- and lifespan of the host. Studies with the fruit fly Drosophila melanogaster—a frequently used aging model to study the interplay between microbial dynamics, age-related changes in intestinal physiology and organismal health—have elegantly demonstrated that intestinal dysbiosis not only precedes, but also predicts the onset of age-related intestinal barrier dysfunction, systemic immune activation, and organismal death [67]. In line, flies maintained under axenic conditions throughout life displayed reduced rates of aging [68] suggesting that preventing age-associated dysbiosis in these model settings can limit inflammaging and improve immune homeostasis to promote organismal health [69]. Using the African turquoise killifish (Nothobranchius furzeri), a naturally short-lived vertebrate, Smith et al. further substantiate the impact of the gut microbiota in modulating aging processes. Heterochronic colonization of middle-aged fish with the microbiome of young donors induced long-lasting beneficial systemic effects that led to vertebrate lifespan extension. Colonization of aged fish with a young donor microbiome associated with the presence of key bacterial genera known to produce metabolites both capable of maintaining immune system health and having anti-inflammatory effects [70]. Similar to studies in fish, fecal microbiota transplantation from young donors into progeroid mice improved health- and lifespan of the latter with transfer of the verrucomicrobia Akkermansia muciniphila being sufficient to exert the observed beneficial effects [71]. Further, an age-related loss of Akkermansia muciniphila has been associated with impaired intestinal integrity and insulin resistance—a process that is mediated through a microbiome–monocyte-B cell axis [72]. Apart from its effects on host metabolism, Akkermansia muciniphila has also been implicated in regulating antigen-specific T-cell responses and antibody production to modulate host-immune function [73]. Using an alternative approach, Fransen et al. colonized germ-free (GF) mice with either the gut microbiome of young or old mice. Transfer of an aged donor microbiome to young mice was sufficient to promote intestinal inflammation, leakage of microbial products to the circulation, and the onset of chronic-low-grade inflammation. As a consequence of systemic low-grade inflammation, increased T-cell activation in systemic immune compartments was observed [74]. Another seminal study reports similar findings with transplantation of an aged microbiome to promote systemic low-grade inflammation in young GF recipients. Inflammaging in these settings was further associated with dysregulated macrophage function that manifested in poor bacterial killing activity with macrophages representing a potent source of inflammatory cytokines. Further, genetic or antibody mediated depletion of TNFα, a signature cytokine of low-grade inflammation, prevented age-related gut dysbiosis, and associated systemic low-grade inflammation [75]. A more recent study by Donaldson et al. highlights that age-related declines in intestinal immunity can be restored by boosting M-cell numbers through manipulation of the gut microbiome [76]. Both exposure of aged mice to a young microbiome or stimulation with flagellin were sufficient to observe this effect with restoration of M-cell maturation in Peyer’s patches, enhanced antigen uptake, and increased intestinal IgA responses in aged mice. M-cell restoration in response to microbiome-based interventions did rely on improved intestinal stem cell function suggesting that restoration of the regenerative capacity of the aged intestine may have the added benefit to improve intestinal immunity. These findings might be of relevance to improve oral vaccination responses or prevent gastrointestinal infections in the elderly. Besides local immune regulation, age-related changes in the gut commensal community structure may also have direct effects on hematopoiesis. Studies in mice have demonstrated that alterations in the gut microbiome associate with multilineage alterations in hematopoiesis with suppression of multipotent progenitors [77]. Given that the gut microbiome is intimately involved in the control of bacterial infections by promoting hematopoiesis, age-related changes in the balance and diversity of the gut microbiota may lead to impaired hematopoiesis, higher susceptibility to infections and reduced vaccination responses in the elderly [78, 79]. However, additional studies are required to support this hypothesis aiming for a better understanding of the effects of age-related dysbiosis on the regulation of the hematopoietic system. Collectively, these findings in preclinical model systems demonstrate that correction of age-associated intestinal dysbiosis is beneficial and thus provide a rationale for microbiome-based therapeutic approaches to improve immune system functioning, fight aging, and its associated disorders. While fecal microbiota transplants (FMT) have antiaging properties in animal models (see above) and FMT has been successfully used to treat recurrent Clostridium difficile infection in men, several barriers remain to propose FMT as anti-aging strategy in clinical settings. A better understanding of the characteristics of a healthy microbiome is of utmost importance (including virome and fungome) to ensure the safety of the recipient with respect to long-term outcomes.

Impact of the gut microbiome on vaccine responses

Despite unprecedented advances in our understanding of the gut microbiome across life, its potential on vaccinology has yet to be realized. Given that the microbiome tightly regulates immune cell development and function [80-82], it may ultimately affect vaccine efficacy [83-85]. Variation in gut-microbial community structures due to environmental, socioeconomic, nutritional, or hygiene conditions may thus explain observed geographical heterogeneity in vaccine responses [50, 86]. Therefore, a better mechanistic understanding on how the microbiome may boost vaccination responses may help to develop new strategies to curtail infectious death in the elderly. Until recently, the best evidence suggesting that the gut microbiome affects vaccination responses comes from preclinical model systems using axenic or microbiota-depleted mice. Woo et al. explored the effects of different antibiotic regimen on the antigen-specific humoral immune responses [87]. Clarithromycin, doxycycline, and ampicillin effects on the primary and secondary antibody responses to tetanus toxoid (TT), a pneumococcal polysaccharide vaccine (PPV), a hepatitis B virus surface antigen (HBsAg) vaccine, and live attenuated Salmonella typhi (Ty21a) were investigated in mice. Interestingly, both antigen and antibiotic specific responses were affected. While clarithromycin and doxycycline, suppressed typical T-cell-dependent and T-cell-independent antibody responses, poor or no effect was observed with ampicillin. Additionally, all three antibiotics and particularly ampicillin enhanced the humoral response to Ty21a—a live attenuated bacterial mucosal vaccine model. Further work involving vaccination experiments in GF mice confirmed these initial findings as recently reviewed [49, 88]. So far existing work focused on bacteria, and other constituents of the microbiota including viruses, fungi, protozoa and archaea are less studied. Yet, two important questions remain: (i) What are the mechanisms by which the microbiota participates to host-immune responses (particularly vaccine response) and (ii) what are the human implications of such findings? To date, the most convincing data demonstrated that gut microbiota provides a natural source of adjuvants capable of modulating host systemic and mucosal vaccine responses. This was first proposed after the system biology report of Nakaya et al. who described an early (day 3) and transient gene upregulation of toll-like receptor-5 (TLR5) in human after non-adjuvanted influenza vaccination with trivalent inactivated vaccine (TIV) [89]. TLR5 expression positively correlated with magnitude of the hemagglutination inhibition (HAI) titers induced by TIV across several vaccination seasons. Subsequently, the same group demonstrated that TLR5 sensing of flagellin secreted by mouse gut microbiota was implicated in the TIV-mediated response [90]. While direct flagellin administration or flagellated bacteria transplant can provide natural adjuvant to improve non-adjuvanted influenza vaccine response, it did not with other adjuvanted or live vaccines such as Tetanus–Diphtheria–Pertussis (Tdap), yellow fever (YF-17D), or recombinant hepatitis B antigens (Recombivax HB). Next to TLR5, the specific contribution of a second pattern recognition receptor called nucleotide-binding oligomerization domain 2 (NOD2) was described in a mouse model of mucosal vaccine responses induced by intranasal challenge with human serum albumin (HSA) antigens and cholera toxin (CTX) adjuvant [91]. In GF mice, antibiotic-treated mice or mutants genetically modified to lack NOD2 signaling, HSA-specific IgG responses were consistently reduced. When those animals received muramyl dipeptide (MDP), a peptidoglycan recognized by NOD2, or MDP expressing bacteria, HSA-specific IgG responses were restored. While human relevant vaccines were not used yet, this second piece of work suggests that resident microbes could also enhance adjuvant effect of CTX used in mucosal vaccination protocols. Further work is necessary to reveal the immunological capacity of the gut microbiome, its cell wall components or metabolites to act as endogenous vaccine adjuvants to amplify adaptive immune responses to specific pathogens. In the same line, both preclinical and clinical reports observed a positive impact of dietary fiber on functional immune parameters including vaccination responses [88, 92–100] (see Table 1), further supporting an important immunomodulatory potential of the gut microbiota based on its composition (nature of bacteria) and or activity (nature of metabolites secreted). This is exemplified by the large literature existing on immunomodulatory activity of short chain fatty acids (SCFAs) resulting from fiber digestion. Those metabolites are released locally or systemically participating to general host physiology as extensively reviewed by others [101-104].
Table 1

Prebiotic and/or probiotic clinical intervention trials exploring immune-relevant outcomes in elderly.

Authors, Ref.Design and populationAgeTested productsMain outcomesMain significant findings
Akatsu et al. [127]

RCT n = 15

Nursing home residents

76 ± 7Heat killed 1010 probiotic containing jelly daily for 12 weeks (Lactobacillus paracasei MoLac-1)Trivalent influenza vaccine responseNone
Akatsu et al. [128]

R DB PC n = 45

Tube fed patients

82 ± 85.1010 probiotics (Bifidobacterium longum BB536) twice daily for 12 weeks in enteral nutritionTrivalent influenza vaccine responseHigher number of patients with H1N1 titers >20 at week 6
Akatsu et al. [92]

RCT n = 36

Tube fed patients

77 ± 9Nutritional complete enteral formula with heat treated LAB and prebiotics GOS (4 g/d) and BGS (0.4 g/d) for 4 weeksTrivalent influenza vaccine response

Higher mean titers and maintenance of seroprotection at 10 wk for influenza B, H1N1 and H3N2 strains

Impact on fecal microbiota

Alberda et al. [120]

RCT n = 32

Tube fed ICU patients

60 ± 151010 Lactobacillus casei in bolus complete enteral formula twice a dayPrevention of Antibiotic Associated Diarrhea and Clostridium difficile infectionNo significant result
Anderson et al. [129]

RCT n = 32

Elective surgical patient

71Preoperative synbiotic treatment with Lactobacillus acidophilus La5, Bifidobacterium lactis Bb-12, Streptococcus thermophilus, and Lactobacillus bulgaricus, together with 32 g/d oligofructose for 1–2 weeksPrevention of bacterial translocation and septic morbidity

No significant result

No impact on gastric colonization

Besselink et al. [118]

R DB PC n = 298

Severe acute pancreatitis patients

60 ± 16Multispecies probiotic preparation twice daily for 28 days with 72 h of symptoms onsetInfectious complication preventionIncreased risk of mortality
Boge et al. [130]R DB PC n = 86 (trial 1) and 241 (trial 2) Nursing home residents82 ± 8 (trial 1) 85 ± 7 (trial 2)Fermented dairy drink containing probiotic (Lactobacillus casei) twice daily for 7 or 13 weeksTrivalent influenza vaccine responseHigher mean titers and seroconversion rate for influenza B Sub-analysis showed higher H1N1 seroprotection rate found in non seroprotected patients at baseline
Bosch et al. [131]

R DB PC n = 60

Nursing home residents

65+5.108 or 5.109 probiotics (Lactobacillus plantarum CECT 7315/7316) daily for 3 monthsTrivalent influenza vaccine responseHigher mean titers for influenza-specific IgA and IgG
Bunout et al. [132]

R PC n = 66

Community dwelling

70+Nutritional complete formula of 240 Kcal daily with prebiotic (6 g/day fructooligosaccharides) for 28 weeksTrivalent influenza and pneumococcal vaccine responsesNone after 28 weeks
Bunout et al. [93]

R PC n = 60

Community dwelling

70+Nutritional complete formula of 240 Kcal daily with prebiotic (6 g/day fructooligosaccharides) for 28 weeks. Follow-up for 1 yearSelf-reported LRTILower rate of self-reported respiratory infections
Butler et al. [121]

R DB PC n = 310

Care home residents

85 ± 71.3–1.6.109 probiotics LGG and BB12 daily capsulesInfection prevention and reduction of antibiotic useNo significant result
Salomão et al. [133]

R DB PC n = 116

Critical-ill patients

62Preoperative synbiotic treatment with 1010 Lactobacillus bulgaricus and 1010 Lactobacillus rhamnosus, and FOS twice a day for 1 weekDecolonize patients from pathogens and prevent nosocomial infectionsNo significant result
Eggers et al. [134]

RCT n = 113

S. aureus positive patients

64Daily intake of capsules with 1010 Lactobacillus rhamnosus HN001 for 4 weeksDecolonize patients from pathogens (carriage reduction of of S. aureus at multiple body sites)Reduced odds of S. aureus presence in the stool sample at endpoint. No effect outside gastrointestinal sites
Enani et al. [135]

R DB PC n = 54

Community dwelling

60–85Synbiotic treatment with daily Bifidobacterium longum bv. infantis 109 and 8 g Gluco-Oligosaccharide for 8 weeks. Vaccine challenge at week 4In vitro flu-vaccine antigen recall challengeNo significant result
Fonolla et al. [136]

R DB PC n = 98

Nursing home residents

83 ± 63.109 Lactobacillus coryniformis K8 CECT5711 daily capsule for 2 weeks prior vaccinationTrivalent influenza vaccine response and incidence or severity of influenza-like illness (ILI)Higher seroconversion rate and reduced medication intake and incidence of ILI over a follow-up of 5 months
Fukushima et al. [137]

R DB PC n = 24

Hospitalized elderly patients

84 ± 6Enteral supplement feeding with fermented milk (89 kcal/d) containing 109 probiotic Lactobacillus johnsonii La1 for 12 weeksIncidence of infectionReduction in the number of days with infection. Improvement in the nutritional status. No difference in fecal microbiota
Hickson et al. [119]

R DB PC n = 135

Hospitalized elderly patients

73 ± 11Drink With 1010 Lactobacillus casei, 109 Lactobacillus bulgaricus and 1010 Streptococcus thermophilus twice a day during a course of antibiotics and for 1 week afterPrevention of any diarrhea (associated with antibiotic use or caused by Clostridium difficile)Reduction in both the incidence of antibiotic and C. difficile associated diarrhea
Jain et al. [138]

R DB PC n = 90

Critical-ill patients

72Synbiotic with probiotic capsules 3 times/d containing 4.109 Lactobacillus acidophilus La5, Bifidobacterium lactis Bb 12, Streptococcus thermophilus, Lactobacillus bulgaricus and 7.5 g oligofructose twice a day for 10 daysImpact on the incidence and nature of gastric colonization, Intestinal permeability and sepsisLimited effect on Gastric colonization. No effect on intestinal permeability, septic morbidity and mortality
Langkamp-Henken et al. [94]

R DB PC n = 66

Nursing home residents and community dwelling

83 ± 2Nutritional formula of 360 kcal daily with micronutrients and FOS prebiotic for 6 monthsTrivalent influenza vaccine response and self-reported day with URTI symptomsReduction in the numbers of days with URTI symptoms and higher seroconversion rate for influenza A
Langkamp-Henken et al. [95]

R DB PC n = 157

Nursing home residents

81 ± 1Nutritional formula of 360 kcal daily with micronutrients and FOS prebiotic for 10 weeksTrivalent influenza vaccine responseHigher H1N1 seroprotection rate, less fever and newly prescribed antibiotics
Lewis et al. [96]R DB PC n = 142 inpatients with C, difficile associated diarrhea7630 days oligofructose prebiotic 12 g/d in addition to specific antibiotic treatment and an additional 30 days follow-upPrevention of relapse with C. difficile associated diarrheaPatients taking oligofructose were less likely to develop further diarrhea Effect on fecal microbiota
Maeda et al. [97]

R DB PC CO n = 50

Nursing home residents

70–95Hydrolyzed Rice Bran fibers (Arabinoxylan derivatives) 500 mg daily intake for 6 weeksCommon cold symptom severitySame prevalence but lower severity of common cold (Lower symptom score and duration)
Maruyama et al. [139]

R DB PC n = 45

Nursing home residents

89 ± 5Heat killed 1010 probiotic jelly (Lactobacillus paracasei MCC1849) daily for 6 weeksTrivalent influenza vaccine responseNone Only sub-analysis showed higher response to H1N1 and B strains in the oldest old i.e., 85+
Namba et al. [140]

R DB PC n = 27

Nursing home residents

87 ± 71011 probiotics daily (Bifidobacterium longum BB536) for 19 weeksTrivalent influenza vaccine responseLess subjects contracted influenza or had fever episodes
Przemska-Kosicka et al. [141]

R DB PC n = 63

Community dwelling

69 ± 5Synbiotic (109 Bifidobacterium longum bv. Infantis CCUG 52486 and 8 g gluco-oligosaccharides) dailyTrivalent influenza vaccine responseNone
Rayes et al. [98]RCT Inpatient with major abdominal surgery60 ± 15Enteral feeding completed with either heat-killed only or live 109 Lactobacillus plantarum 299 and oat fiber for 4 days twice a day vs. control. 3 months follow-up after dischargePrevention of infections after surgeryBoth groups (with heat-killed or live probiotics) reduce postoperative infection rate and had better nutritional status vs. control
Russolillo et al. [142]

RCT n = 40

Elective surgical jaundiced patient

63Symbiotic preoperative therapy Median time 20 days before surgeryReduction of postoperative infectious complicationsNone
Shimoni et al. [99]

RCT n = 160

Hospitalized elderly patients

81–83Exclusive continuous or intermittent enteral feeding ± soy fibers 13.2 g/L (2 L/day) for 11–16 daysImpact of enteral feeds high in fiber in diarrheaPoor significant reduction in infectious diarrhea.
Spapen et al. [100]

RCT n = 25

Hospitalized elderly patients

68 ± 11Exclusive enteral feeding with 22 g of partially hydrolyzed guar per liter for 6–21 daysImpact of enteral feeds high in fiber in diarrheaNo C. Difficile detection in both groups. Reduction in incidence but not duration of diarrhea with fiber-fed patients
Van Puyenbroeck et al. [143]

R DB PC n = 737

Nursing home residents

841.3 × 1010 probiotics daily (Lactobacillus casei Shirota) for 176 daysTrivalent influenza vaccine response (secondary outcome)None (with no difference in susceptibility to URTI)
Yamamoto et al. [144]

R DB PC n = 107

Nursing home residents

86Probiotic fermented-yogurt daily intake containing 8–10.108 Lactobacillus delbrueckii ssp. bulgaricus (OLL1073R-1). Control yogurt with a different Lactobacillus strain. 12 weeks interventionImpact on mucosal immunity with Influenza-specific salivary IgA

Higher production of H3N2-bound salivary IgA at week 8 and 12.

No effect on total IgA or Influenza-A and H1N1-bound salivary IgA.

A PubMed literature search was performed in December 2020 looking at nutrition related keywords like “probiotic”, “prebiotic”, “symbiotic”, “fibers”, and or “postbiotic” (i.e., soluble metabolic products or byproducts secreted by live bacteria, or released after bacterial lysis providing physiological benefits to the host) with “vaccine” or “infection”. Medline filters applied were “clinical trial”, “human”, and “age 65+”. A total of 393 articles was found. After elimination of reviews, duplicates, articles not in English, with target population <60 years, or lacking immune-relevant outcomes i.e., vaccination or infectious readouts, 31 articles remained and are presented in this table. Only significant effects related to vaccine response and or infection are described. Studies with positive outcomes appear in bold. Studies with reported safety issues are highlighted in italics. Population age retrieved as median, range, or mean ± SD of the total or treated patients are given whenever available.

R Randomized, DB double blind, SB single blind, PC placebo controlled, CO cross-over, RCT randomized controlled trial, HI hemagglutination inhibition, Hb hemoglobin, URTI upper respiratory tract infections, GITI gastrointestinal tract infections, - stands for no information, GOS galacto-oligosaccharide, FOS fructo-oligosaccharide, BGS bifidogenic growth stimulator, LAB lactic acid bacteria.

Prebiotic and/or probiotic clinical intervention trials exploring immune-relevant outcomes in elderly. RCT n = 15 Nursing home residents R DB PC n = 45 Tube fed patients RCT n = 36 Tube fed patients Higher mean titers and maintenance of seroprotection at 10 wk for influenza B, H1N1 and H3N2 strains Impact on fecal microbiota RCT n = 32 Tube fed ICU patients RCT n = 32 Elective surgical patient No significant result No impact on gastric colonization R DB PC n = 298 Severe acute pancreatitis patients R DB PC n = 60 Nursing home residents R PC n = 66 Community dwelling R PC n = 60 Community dwelling R DB PC n = 310 Care home residents R DB PC n = 116 Critical-ill patients RCT n = 113 S. aureus positive patients R DB PC n = 54 Community dwelling R DB PC n = 98 Nursing home residents R DB PC n = 24 Hospitalized elderly patients R DB PC n = 135 Hospitalized elderly patients R DB PC n = 90 Critical-ill patients R DB PC n = 66 Nursing home residents and community dwelling R DB PC n = 157 Nursing home residents R DB PC CO n = 50 Nursing home residents R DB PC n = 45 Nursing home residents R DB PC n = 27 Nursing home residents R DB PC n = 63 Community dwelling RCT n = 40 Elective surgical jaundiced patient RCT n = 160 Hospitalized elderly patients RCT n = 25 Hospitalized elderly patients R DB PC n = 737 Nursing home residents R DB PC n = 107 Nursing home residents Higher production of H3N2-bound salivary IgA at week 8 and 12. No effect on total IgA or Influenza-A and H1N1-bound salivary IgA. A PubMed literature search was performed in December 2020 looking at nutrition related keywords like “probiotic”, “prebiotic”, “symbiotic”, “fibers”, and or “postbiotic” (i.e., soluble metabolic products or byproducts secreted by live bacteria, or released after bacterial lysis providing physiological benefits to the host) with “vaccine” or “infection”. Medline filters applied were “clinical trial”, “human”, and “age 65+”. A total of 393 articles was found. After elimination of reviews, duplicates, articles not in English, with target population <60 years, or lacking immune-relevant outcomes i.e., vaccination or infectious readouts, 31 articles remained and are presented in this table. Only significant effects related to vaccine response and or infection are described. Studies with positive outcomes appear in bold. Studies with reported safety issues are highlighted in italics. Population age retrieved as median, range, or mean ± SD of the total or treated patients are given whenever available. R Randomized, DB double blind, SB single blind, PC placebo controlled, CO cross-over, RCT randomized controlled trial, HI hemagglutination inhibition, Hb hemoglobin, URTI upper respiratory tract infections, GITI gastrointestinal tract infections, - stands for no information, GOS galacto-oligosaccharide, FOS fructo-oligosaccharide, BGS bifidogenic growth stimulator, LAB lactic acid bacteria. Dynamics in gut microbiome composition and function may also explain observed geographical heterogeneity in vaccine responses. We and others also reported significant differences in the magnitude of the humoral immune responses after influenza vaccine in adults or elderly (more than 100-fold [105-107]). Similarly, children from developing countries responded far less to a variety of vaccines than children from industrialized countries as exemplified by studies from the tuberculosis protection program with Bacillus Calmette-Guerin (BCG) vaccine studies across countries with protection range spreading between 0 and 80% [108]. Host genetics, nutritional status, breastfeeding practices as well as sanitation and or prior exposure to the pathogens, were proposed to explain variation in vaccine immunogenicity. However, recent technological improvements to study host microbiota shed new light in this field. Indeed, studies on stool microbiota characterization suggest that gut-microbial species composition may influence vaccination efficacy in the context of oral polio, BCG, TT, and HBV [109]. In addition, high prevalence of small intestinal bacterial overgrowth (SIBO) is often observed in children from developing countries. SIBO could also limit vaccine performance due to associated malabsorption, competition between gut microbiota and host-immune cells for key nutrients and or systemic release of microbial molecules through a leaky gut [110]. Indeed, hyporesponsive whole blood cells (with standard TLR stimulation assays) were observed in samples collected from children living in the poorest regions (South Africa) compared to age-matched samples from children living in wealthier regions (North America and Europe) [111, 112]. The above human studies were only correlative. Three studies were carried out recently to establish causality between gut microbiota dysbiosis and vaccine response in infants and adults. In the first large (n = 754) and well controlled study, broad-spectrum antibiotic treatment (azithromycin) reduced prevalence of pathogenic intestinal bacteria, while it did not improve oral polio vaccination in Indian infants [113]. Next, Harris et al. treated 66 Dutch healthy adults in an open-label trial with both narrow-spectrum antibiotic (vancomycin) or broad-spectrum antibiotics (vancomycin, ciprofloxacin and metronidazole) and studied responses of TT, oral rotavirus (RV), and polysaccharide pneumococcal (Pneumo23) vaccines [114]. While some positive effects were observed with RV vaccine, the antibiotic treatments did not improve TT or Pneumo23 responses. Lastly, Hagan and colleagues carried out an elegant study with 22 young adults treated with broad-spectrum antibiotics (vancomycin, neomycin and metronidazole) followed by TIV challenge [115]. While such treatment had limited impact in adults previously vaccinated against influenza, a second trial among 11 healthy individuals who had no prior exposure to influenza (vaccination or natural infection) provided breakthrough findings. Those naïve antibiotic-treated individuals had greatly impaired humoral immune responses particularly against H1N1 influenza strain. These data confirmed earlier mouse studies [90] and demonstrate that antibiotic-driven dysbiosis lead to significant alterations of vaccine responses elicited by non-adjuvanted TIV. A deeper molecular profile with system biology methodology also revealed a specific inflammatory gene signature with more activated myeloid dendritic cells associated to antibiotic treatment and reminiscent to what was already described in elderly individuals. Going forward, rationally designed vaccines leveraging the microbiome as endogenous adjuvant holds promise in the field of vaccinology. Such approaches may require personalization and engineered reversibility to manage efficacy and potential complications in frail individuals [116]. Given that diet is one of the most potent factors shaping the gut microbiome, nutritional interventions with pre- and probiotics that promote a diverse microbiome to sustain health have received considerable interest as discussed below.

Nutritional strategies to fight age-related declines in host immunity

The concept of food developed to promote health or reduce the risk of disease was introduced in the mid-1980s in Japan by health authorities under the term “functional foods” [117]. Health authorities wanted to support preventive nutrition-based approaches to improve quality of life and reduce health care cost associated to an ageing population [117]. As a result of the intimate interaction of the gut microbiome with the host-immune system, functional foods studied in clinical trials to improve elderly immunity comprise mainly prebiotics (e.g., fibers), probiotics, a combination of both (i.e., symbiotics), or secreted soluble metabolites (also called postbiotic e.g., SCFA). As immune fitness declines with age that associates with the inability of older adults to fight infections and respond to antigenic challenges [13], most of these trials explored infection prevalence severity and duration or specific vaccination outcomes. Among the 400 clinical studies identified, we retained 31 studies based on their relevance (immune readouts and target population being elderly individuals >60 years) and summarized them in Table 1. Those studies were conducted in community-dwelling individuals, nursing home residents or hospitalized patients who can take oral supplement or need tube-feeding. The majority of the studies identified (20 studies) were Randomized Double Blind Placebo controlled with well-balanced groups to take into consideration classical confounding factors like age, gender and sometimes medical conditions, nutritional status and history of infection or immunization. Except one study with severely ill pancreatitis patients, where probiotic intake had severe adverse events [118] (highlighted in red in Table 1), all the nutritional interventions were reported to be safe. About two third of the studies (19 out of 31) had positive outcomes (highlighted in green in Table 1), with either improved vaccine responsiveness and or reduction of infection (severity or prevalence). However, we cannot exclude potential publication bias with positive results. Most of the studies used probiotics (live or heat killed) alone or in combination with prebiotics (symbiotic). It explored mainly the impact of the nutritional formulation on TIV response (seasonal vaccine) or influenza-specific antigen recall response in vitro (14 studies). Half of them had positive outcomes with expected improved seroconversion, and or reduced upper-, and lower respiratory tract infection episodes or reduced influenza-like illness (numbers, severity, and or duration). Interventions conducted by academics and the food industry to improve immune system functionality commonly used influenza vaccine challenge models. This bias can be explained by its public health relevance as well as the existing link between antibody titers following vaccination and protection against respiratory infections. It is linked to established seroconversion and seroprotection titers accepted by regulatory bodies to claim improvement of immune function. Protection against infectious complications and particularly Clostridium difficile associated diarrhea in critical ill or elective surgical patients represented a second field of interest [96, 100, 119, 120]. In the 13 studies conducted in an elderly population, 6 were positive. Their positive nature may also suggest that disease prevention may be achieved by different aspects of human immune system. Vaccine challenge studies routinely test the function of the adaptive immune system while not addressing consequences of an age-related decline of innate immunity in some bacterial infections. However, in the largest study conducted in 23 care homes in the United Kingdom and recently reported as the Probiotics to Reduce Infections iN CarE home reSidentS trial, LGG, and BB12 daily capsule intake for up to 1 year had no effect on the prevention of infection [121]. No difference was found regarding signs of infection, antibiotic use, hospitalization, or mortality. Overall, there is a lack of consistency between studies which may have multiple reasons such as strain specific differences or doses, as well as prebiotic nature and quantity, or age and medical conditions of the subjects. Of note, none of these studies identified did an extensive analysis of the patient microbiota pre- and post-intervention. While those data may exist as independent reports to characterize the ingredient properties, it would be crucial in the future to conduct systematic parallel evaluation of human microbiota and immune parameters pre- and post-intervention to reveal relevant interactions or causalities as exemplified by the seminal work of Hagan and colleagues discussed earlier [115].

Conclusions and future perspectives

In the past 12 months, we were painfully reminded how age affects our immune fitness resulting in increased susceptibility to fatal infectious disease. Although chronological age is nonreversible, aging associated alterations in the gut microbiome, inflammaging, and immunosenescence—common accomplices of immune-mediated chronic disorders and frailty—are potentially targetable to sustain immunity and health as we age. While anti-inflammatory drugs and senotherapeutic approaches to selectively eliminate senescent cells (senolytics) or to suppress the senescence associated secretory phenotype (senomorphics) are quickly moving towards clinical trials as antiaging therapies [122-125] (Fig. 2), their long-term use needs to be carefully balanced with regard to susceptibility to infectious disease and potential other side effects. Further research is also needed to explain the paradox why reducing systemic low-grade inflammation may boost vaccine responses while the prevailing view in vaccinology is that adjuvants improve vaccine responses by promoting local inflammation [126].
Fig. 2

Approaches to restore gut-microbial homeostasis, reduce inflammaging, and immunosenescence to support immunity in the elderly.

Nutritional intervention with pre- pro- or synbiotics as well as metabolites thereof (e.g., SCFAs) may help to restore age-related declines in gut-microbial composition and function, reinforce intestinal integrity and reduce systemic low-grade inflammation (1). Supplementation with vitamins and minerals contributes to normal immune cell functioning (2). Anti-inflammatory drugs or senomorphics may help to reduce inflammaging while senolytics directly eliminate senescent cells that fuel inflammaging (3). These approaches, as stand alone or in combination may help to reinforce host immunity to better control infections and mount appropriate vaccination responses as we age.

Approaches to restore gut-microbial homeostasis, reduce inflammaging, and immunosenescence to support immunity in the elderly.

Nutritional intervention with pre- pro- or synbiotics as well as metabolites thereof (e.g., SCFAs) may help to restore age-related declines in gut-microbial composition and function, reinforce intestinal integrity and reduce systemic low-grade inflammation (1). Supplementation with vitamins and minerals contributes to normal immune cell functioning (2). Anti-inflammatory drugs or senomorphics may help to reduce inflammaging while senolytics directly eliminate senescent cells that fuel inflammaging (3). These approaches, as stand alone or in combination may help to reinforce host immunity to better control infections and mount appropriate vaccination responses as we age. Given the ever-growing impact of the gut microbiome on the host-immune system, it is reasonable to speculate that restoring age-related declines in gut-microbial richness and function—be it through personalized nutrition or supplements—may represent a prophylactic measure to fight functional declines in immune fitness. In this context, pre-, pro-, and postbiotics or synbiotics with the ability to reinforce immunity through supporting intestinal barrier integrity or by regulating inflammatory processes have been tested in clinical settings (Table 1). However, a lack of consistency between studies, strain specific differences or doses, prebiotic nature and quantity or age and medical conditions of the subjects have made it difficult to validate the effectiveness of such approaches to reinforce age-associated declines in host-immune fitness. None the less, mining the gut microbiome is a treasure trove waiting to be unlocked, and gerontology is no exception here. As exemplified by numerous preclinical studies, restoration of a youthful microbiome has rejuvenating potential for the aged host through sustaining immunity and health-span [67, 69, 74]. Thus, a better understanding of the dynamic age-related changes in gut-microbial community structures and associated metabolome, how such alterations affect cellular immune networks and how these pathways can be therapeutically targeted will have wide-reaching implications for future strategies to reinforce or even rejuvenate the aging immune system. With a growing aging population, such solutions are urgently needed to support healthy aging and to slow down the ever-rising health care costs.
  144 in total

1.  Relationship of C-reactive protein reduction to cardiovascular event reduction following treatment with canakinumab: a secondary analysis from the CANTOS randomised controlled trial.

Authors:  Paul M Ridker; Jean G MacFadyen; Brendan M Everett; Peter Libby; Tom Thuren; Robert J Glynn
Journal:  Lancet       Date:  2017-11-13       Impact factor: 79.321

Review 2.  Immune adaptations that maintain homeostasis with the intestinal microbiota.

Authors:  Lora V Hooper; Andrew J Macpherson
Journal:  Nat Rev Immunol       Date:  2010-03       Impact factor: 53.106

3.  Probiotic prophylaxis in predicted severe acute pancreatitis: a randomised, double-blind, placebo-controlled trial.

Authors:  Marc Gh Besselink; Hjalmar C van Santvoort; Erik Buskens; Marja A Boermeester; Harry van Goor; Harro M Timmerman; Vincent B Nieuwenhuijs; Thomas L Bollen; Bert van Ramshorst; Ben Jm Witteman; Camiel Rosman; Rutger J Ploeg; Menno A Brink; Alexander Fm Schaapherder; Cornelis Hc Dejong; Peter J Wahab; Cees Jhm van Laarhoven; Erwin van der Harst; Casper Hj van Eijck; Miguel A Cuesta; Louis Ma Akkermans; Hein G Gooszen
Journal:  Lancet       Date:  2008-02-14       Impact factor: 79.321

4.  The effects of non-viable Lactobacillus on immune function in the elderly: a randomised, double-blind, placebo-controlled study.

Authors:  Michio Maruyama; Ryoji Abe; Tomohiro Shimono; Noriyuki Iwabuchi; Fumiaki Abe; Jin-Zhong Xiao
Journal:  Int J Food Sci Nutr       Date:  2015-12-27       Impact factor: 3.833

Review 5.  Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases.

Authors:  Claudio Franceschi; Judith Campisi
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-06       Impact factor: 6.053

6.  Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors: 
Journal:  Lancet       Date:  2018-11-08       Impact factor: 79.321

7.  Systems biology of vaccination for seasonal influenza in humans.

Authors:  Helder I Nakaya; Jens Wrammert; Eva K Lee; Luigi Racioppi; Stephanie Marie-Kunze; W Nicholas Haining; Anthony R Means; Sudhir P Kasturi; Nooruddin Khan; Gui-Mei Li; Megan McCausland; Vibhu Kanchan; Kenneth E Kokko; Shuzhao Li; Rivka Elbein; Aneesh K Mehta; Alan Aderem; Kanta Subbarao; Rafi Ahmed; Bali Pulendran
Journal:  Nat Immunol       Date:  2011-07-10       Impact factor: 25.606

Review 8.  Inflamm-Aging of Hematopoiesis, Hematopoietic Stem Cells, and the Bone Marrow Microenvironment.

Authors:  Larisa V Kovtonyuk; Kristin Fritsch; Xiaomin Feng; Markus G Manz; Hitoshi Takizawa
Journal:  Front Immunol       Date:  2016-11-14       Impact factor: 7.561

9.  Factors affecting immunogenicity of BCG in infants, a study in Malawi, The Gambia and the UK.

Authors:  Yun-Gyoung Hur; Patricia Gorak-Stolinska; Maeve K Lalor; Hazzie Mvula; Sian Floyd; John Raynes; Anne Ben-Smith; Joseph R Fitchett; Katie L Flanagan; Sarah Burl; Martin O Ota; Amelia C Crampin; Steven G Smith; Hazel M Dockrell
Journal:  BMC Infect Dis       Date:  2014-04-05       Impact factor: 3.090

10.  Senescence associated macrophages and "macroph-aging": are they pieces of the same puzzle?

Authors:  Francesco Prattichizzo; Massimiliano Bonafè; Fabiola Olivieri; Claudio Franceschi
Journal:  Aging (Albany NY)       Date:  2016-12-07       Impact factor: 5.682

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  32 in total

Review 1.  Inflammaging and Cannabinoids.

Authors:  Babak Baban; Hesam Khodadadi; Évila Lopes Salles; Vincenzo Costigliola; John C Morgan; David C Hess; Kumar Vaibhav; Krishnan M Dhandapani; Jack C Yu
Journal:  Ageing Res Rev       Date:  2021-10-15       Impact factor: 10.895

2.  The effect of young blood plasma administration on gut microbiota in middle-aged rats.

Authors:  Taha Ceylani; Hikmet Taner Teker
Journal:  Arch Microbiol       Date:  2022-08-05       Impact factor: 2.667

Review 3.  The gut microbiome and allergic rhinitis; refocusing on the role of probiotics as a treatment option.

Authors:  Jianghua Li; Fang Fang; Mei Mei; Dongmei Wu
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-10-14       Impact factor: 3.236

4.  Production of MHCII-expressing classical monocytes increases during aging in mice and humans.

Authors:  Pijus K Barman; Juliana E Shin; Sloan A Lewis; Seokjo Kang; Di Wu; Yizhou Wang; Xiaoming Yang; Prakash S Nagarkatti; Mitzi Nagarkatti; Ilhem Messaoudi; Bérénice A Benayoun; Helen S Goodridge
Journal:  Aging Cell       Date:  2022-08-30       Impact factor: 11.005

Review 5.  NF-κB Regulation by Gut Microbiota Decides Homeostasis or Disease Outcome During Ageing.

Authors:  Shuning Zhang; Soumyajeet Paul; Parag Kundu
Journal:  Front Cell Dev Biol       Date:  2022-07-01

6.  Whole-Genome Sequencing Reveals Age-Specific Changes in the Human Blood Microbiota.

Authors:  Eun-Ju Lee; Joohon Sung; Hyung-Lae Kim; Han-Na Kim
Journal:  J Pers Med       Date:  2022-06-07

7.  Metformin Attenuates Inflammatory Responses and Enhances Antibody Production in an Acute Pneumonia Model of Streptococcus pneumoniae.

Authors:  Grace C Lee; Alvaro G Moreira; Cecilia Hinojosa; Raymond Benavides; Caitlyn Winter; Audrey C Anderson; Chang-Jui Chen; Noemi Borsa; Gabrielyd Hastings; Cody A Black; Sarah M Bandy; Alexander Shaffer; Marcos I Restrepo; Sunil K Ahuja
Journal:  Front Aging       Date:  2022-04-29

8.  Age-Associated Changes to Lymph Node Fibroblastic Reticular Cells.

Authors:  Tina Kwok; Shannon C Medovich; Ildefonso A Silva-Junior; Elise M Brown; Joel C Haug; Marliece R Barrios; Karina A Morris; Jessica N Lancaster
Journal:  Front Aging       Date:  2022-01-25

Review 9.  Microbiome Impact on Amyloidogenesis.

Authors:  Jofre Seira Curto; Amat Surroca Lopez; Maria Casals Sanchez; Iva Tic; Maria Rosario Fernandez Gallegos; Natalia Sanchez de Groot
Journal:  Front Mol Biosci       Date:  2022-06-16

Review 10.  Insights on the Gut-Mesentery-Lung Axis in Pulmonary Arterial Hypertension: A Poorly Investigated Crossroad.

Authors:  Suellen Darc Oliveira
Journal:  Arterioscler Thromb Vasc Biol       Date:  2022-03-17       Impact factor: 10.514

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