scholarly journals Gut microbiome response to a modern Paleolithic diet in a Western lifestyle context

2018 ◽  
Author(s):  
Monica Barone ◽  
Silvia Turroni ◽  
Simone Rampelli ◽  
Matteo Soverini ◽  
Federica D’Amico ◽  
...  

AbstractThe progressive reduction of gut microbiome (GM) biodiversity along human evolutionary history has been found to be particularly exacerbated in Western urban compared to traditional rural populations, and supposed to contribute to the increasing incidence of chronic non-communicable diseases. Together with sanitation, antibiotics and C-section, the Western diets, low in microbiota-accessible carbohydrates (MACs) while rich in industrialized and processed foods, are considered one of the leading causes of this shrinkage. However, significant questions remain unanswered, especially whether high-MAC low-processed diets may be sufficient to recover GM diversity in Western urban populations. Here, we profiled the GM structure of urban Italian subjects adhering to the modern Paleolithic diet (MPD), a dietary pattern featured by high consumption of MACs and low-to-zero intake of refined sugars and processed foods, and compared data with other Italian individuals following a Mediterranean Diet (MD), as well as worldwide traditional hunter-gatherer populations from previous publications. Notwithstanding a strong geography effect on the GM structure, our results show an unexpectedly high degree of GM biodiversity in MPD subjects, which well approximates that of traditional populations. Increasing the consumption of MACs at the expense of refined sugars, and minimizing the intake of processed foods, both hallmarks of the MPD, could be the key to rewild the Western microbiota, counteracting the loss of GM diversity and thus restoring evolutionarily important functionality to our gut for improved human health.

2017 ◽  
Vol 118 (9) ◽  
pp. 715-721 ◽  
Author(s):  
Mikel Donazar-Ezcurra ◽  
Cristina Lopez-del Burgo ◽  
Miguel A. Martinez-Gonzalez ◽  
Francisco J. Basterra-Gortari ◽  
Jokin de Irala ◽  
...  

AbstractThe aim of this study was to investigate the association between the adherence to empirically derived dietary patterns and gestational diabetes mellitus (GDM) risk and of healthy lifestyles with the prevention of GDM defining an overall healthy score. The Seguimiento Universidad de Navarra project is a Mediterranean cohort of university graduates started in 1999. We included 3455 pregnant women. During a mean follow-up of 10·3 (sd 3·3) years, we identified 173 incident GDM cases. Two major dietary patterns were identified using principal component analysis: the Western dietary pattern (WDP) (characterised by a high consumption of meat-based products and processed foods) and the Mediterranean dietary pattern (MDP) (characterised by a high consumption of vegetables, fruits, fish and non-processed foods). A low-risk score for GDM was defined taking into account important risk factors (age, BMI and unhealthy dietary pattern) for GDM. Positive association was found in the multivariable model between the highest quartile of adherence to WDP and GDM incidence compared with the lowest quartile (OR 1·56; 95 % CI 1·00, 2·43). No association was found between adherence to the MDP and GDM incidence (OR 1·08; 95 % CI 0·68, 1·70 for the highest quartile compared with the lowest). Women who adhered to all three low-risk factors had a 76 % lower risk of GDM (OR 0·24; 95 % CI 0·10, 0·55) compared with women who did not adhere to any factor before pregnancy. In conclusion, our results reinforce the importance of dietary recommendations and other two factors (low BMI and young age at pregnancy) in pre-gravid women.


Gut Microbes ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 1-18
Author(s):  
Joanna K Coker ◽  
Oriane Moyne ◽  
Dmitry A. Rodionov ◽  
Karsten Zengler

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Guojun Wu ◽  
Naisi Zhao ◽  
Chenhong Zhang ◽  
Yan Y. Lam ◽  
Liping Zhao

AbstractTo demonstrate the causative role of gut microbiome in human health and diseases, we first need to identify, via next-generation sequencing, potentially important functional members associated with specific health outcomes and disease phenotypes. However, due to the strain-level genetic complexity of the gut microbiota, microbiome datasets are highly dimensional and highly sparse in nature, making it challenging to identify putative causative agents of a particular disease phenotype. Members of an ecosystem seldomly live independently from each other. Instead, they develop local interactions and form inter-member organizations to influence the ecosystem’s higher-level patterns and functions. In the ecological study of macro-organisms, members are defined as belonging to the same “guild” if they exploit the same class of resources in a similar way or work together as a coherent functional group. Translating the concept of “guild” to the study of gut microbiota, we redefine guild as a group of bacteria that show consistent co-abundant behavior and likely to work together to contribute to the same ecological function. In this opinion article, we discuss how to use guilds as the aggregation unit to reduce dimensionality and sparsity in microbiome-wide association studies for identifying candidate gut bacteria that may causatively contribute to human health and diseases.


IMA Fungus ◽  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
João P. M. Araújo ◽  
Mitsuru G. Moriguchi ◽  
Shigeru Uchiyama ◽  
Noriko Kinjo ◽  
Yu Matsuura

AbstractThe entomopathogenic genus Ophiocordyceps includes a highly diverse group of fungal species, predominantly parasitizing insects in the orders Coleoptera, Hemiptera, Hymenoptera and Lepidoptera. However, other insect orders are also parasitized by these fungi, for example the Blattodea (termites and cockroaches). Despite their ubiquity in nearly all environments insects occur, blattodeans are rarely found infected by filamentous fungi and thus, their ecology and evolutionary history remain obscure. In this study, we propose a new species of Ophiocordyceps infecting the social cockroaches Salganea esakii and S. taiwanensis, based on 16 years of collections and field observations in Japan, especially in the Ryukyu Archipelago. We found a high degree of genetic similarity between specimens from different islands, infecting these two Salganea species and that this relationship is ancient, likely not originating from a recent host jump. Furthermore, we found that Ophiocordyceps lineages infecting cockroaches evolved around the same time, at least twice, one from beetles and the other from termites. We have also investigated the evolutionary relationships between Ophiocordyceps and termites and present the phylogenetic placement of O. cf. blattae. Our analyses also show that O. sinensis could have originated from an ancestor infecting termite, instead of beetle larvae as previously proposed.


RSC Advances ◽  
2021 ◽  
Vol 11 (24) ◽  
pp. 14357-14361
Author(s):  
Teron Haynie ◽  
Shawn Gubler ◽  
Christoph Drees ◽  
Tanner Heaton ◽  
Tanner Mitton ◽  
...  
Keyword(s):  

The roles played by the gut microbiome in human health are increasingly recognized, and the prevalence of specific microorganisms has been correlated with different diseases.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Christopher Alan Smith

AbstractThe basidiomycete fungus Lentinula novae-zelandiae is endemic to New Zealand and is a sister taxon to Lentinula edodes, the second most cultivated mushroom in the world. To explore the biology of this organism, a high-quality chromosome level reference genome of L. novae-zelandiae was produced. Macrosyntenic comparisons between the genome assembly of L. novae-zelandiae, L. edodes and a set of three genome assemblies of diverse species from the Agaricomycota reveal a high degree of macrosyntenic restructuring within L. edodes consistent with signal of domestication. These results show L. edodes has undergone significant genomic change during the course of its evolutionary history, likely a result of its cultivation and domestication over the last 1000 years.


2020 ◽  
Author(s):  
Gabriel Gonçalves da Costa ◽  
Bruno Francisco Teixeira Simões ◽  
Alessandra da Silva Pereira

Objective: To identify dietary patterns in food availability data at the global level using multivariate statistical methodology, to associate the identified dietary patterns with socioeconomic data and to analyze the adequacy of the applied statistical methods in data of food availability. Methods: Principal Component Analysis was applied to food availability data of 172 UN registered countries available at FAOSTAT database in Food Balance Sheets section. The Principal Components were correlated with socioeconomic data available from the World Bank database. Results: Five principal components were identified, each characterizing a dietary pattern. The first one, a westernized dietary pattern, was composed of energy-dense and processed foods, foods of animal origin, alcoholic beverages, but also, albeit less, by vegetables, fruits and nuts, being correlated with income, urbanization and trade liberalization. This westernized pattern was characterized more by western, animal origin and processed foods, yet preserving unprocessed and regional foods. The other dietary patterns were three agricultural patterns characterized more by regional foods, especially starchy staples, and one coastal dietary pattern composed of fish and seafoods, being associated with GINI index, poverty, and female labor force. Conclusions: Principal Component Analysis was adequate to identify dietary patterns in food availability data. A westernized dietary pattern was identified, being associated with income, urbanization and trade liberalization. This association did not occur for the remain of the dietary patterns identified, these being less driven by economic development.


Metabolites ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 717
Author(s):  
Mengni Cui ◽  
Alessia Trimigno ◽  
Josue L. Castro-Mejía ◽  
Søren Reitelseder ◽  
Jacob Bülow ◽  
...  

This study investigated how body mass index (BMI), physical fitness, and blood plasma lipoprotein levels are related to the fecal metabolome in older adults. The fecal metabolome data were acquired using proton nuclear magnetic resonance spectroscopy and gas chromatography–mass spectrometry on 163 healthy older adults (65–80 years old, 80 females and 83 males). Overweight and obese subjects (BMI ≥ 27) showed higher levels of fecal amino acids (AAs) (valine, alanine, and phenylalanine) compared to normal-weight subjects (BMI ≤ 23.5). Adults classified in the high-fitness group displayed slightly lower concentrations of fecal short-chain fatty acids, propionic acid, and AAs (methionine, leucine, glutamic acid, and threonine) compared to the low-fitness group. Subjects with lower levels of cholesterol in low-density lipoprotein particles (LDLchol, ≤2.6 mmol/L) displayed higher fecal levels of valine, glutamic acid, phenylalanine, and lactic acid, while subjects with a higher level of cholesterol in high-density lipoprotein particles (HDLchol, ≥2.1 mmol/L) showed lower fecal concentration of isovaleric acid. The results from this study suggest that the human fecal metabolome, which primarily represents undigested food waste and metabolites produced by the gut microbiome, carries important information about human health and should be closely integrated to other omics data for a better understanding of the role of the gut microbiome and diet on human health and metabolism.


2020 ◽  
Vol 176 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Vicki L Sutherland ◽  
Charlene A McQueen ◽  
Donna Mendrick ◽  
Donna Gulezian ◽  
Carl Cerniglia ◽  
...  

Abstract There is an increasing awareness that the gut microbiome plays a critical role in human health and disease, but mechanistic insights are often lacking. In June 2018, the Health and Environmental Sciences Institute (HESI) held a workshop, “The Gut Microbiome: Markers of Human Health, Drug Efficacy and Xenobiotic Toxicity” (https://hesiglobal.org/event/the-gut-microbiome-workshop) to identify data gaps in determining how gut microbiome alterations may affect human health. Speakers and stakeholders from academia, government, and industry addressed multiple topics including the current science on the gut microbiome, endogenous and exogenous metabolites, biomarkers, and model systems. The workshop presentations and breakout group discussions formed the basis for identifying data gaps and research needs. Two critical issues that emerged were defining the microbial composition and function related to health and developing standards for models, methods and analysis in order to increase the ability to compare and replicate studies. A series of key recommendations were formulated to focus efforts to further understand host-microbiome interactions and the consequences of exposure to xenobiotics as well as identifying biomarkers of microbiome-associated disease and toxicity.


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