OBJECTIVE: The main focus of this review is to discuss and summarise the major risk factors associated with urbanisation that affect human gut microbiota thus affecting human health.
METHODS: Multiple medical literature databases, namely PubMed, Google, Google Scholar, and Web of Science were used to find relevant materials for urbanisation and its major factors affecting human gut microbiota/microbiome. Both layman and Medical Subject Headings (MeSH) terms were used in the search. Due to the scarcity of the data, no limitation was set on the publication date. Relevant materials in the English language which include case reports, chapters of books, journal articles, online news reports and medical records were included in this review.
RESULTS: Based on the data discussed in the review, it is quite clear that urbanisation and its associated factors have long-standing effects on the human gut microbiota that result in alterations of gut microbial diversity and composition. This is a matter of serious concern as chronic inflammatory diseases are on the rise in urbanised societies.
CONCLUSION: A better understanding of the factors associated with urbanisation will help us to identify and implement new biological and social approaches to prevent and treat diseases and improve health globally by deepening our understanding of these relationships and increasing studies across urbanisation gradients.HIGHLIGHTSHuman gut microbiota have been linked to almost every important function, including metabolism, intestinal homeostasis, immune system, biosynthesis of vitamins, brain processes, and behaviour.However, dysbiosis i.e., alteration in the composition and diversity of gut microbiota is associated with the pathogenesis of many chronic conditions.In the 21st century, urbanisation represents a major demographic shift in developed and developing countries.During this period of urbanisation, humans have been exposed to many environmental exposures, all of which have led to the dysbiosis of human gut microbiota.The main focus of the review is to discuss and summarise the major risk factors associated with urbanisation and how it affects the diversity and composition of gut microbiota which ultimately affects human health.
METHODS: A total of 648 women screened for cervicitis, intraepithelial neoplasia or CC were included in the study. All participants underwent ThinPrep cytology testing, single-step HPV DNA detection and allele-specific reverse hybridization assays. Moreover, a total of 96 specimens previously tested positive for single infection with HPV16 or 18 were included for variant analysis. HPV16/18 lineages and sublineages were determined by PCR assays followed by sequencing the E6 gene and the construction of neighbor-joining phylogenetic trees.
RESULTS: Overall, HPV DNA was detected in 62.19% of all the screened subjects. The detection rates of HPV DNA among individuals with normal, ASC-US, ASC-H, LSIL, and HSIL cervical cytology were 48.9%, 93.6%, 100%, 100%, and 100%, respectively. Low-risk HPVs were detected more frequently (46.9%) than high-risk (38.9%) and possible high-risk types (11.1%). Of 403 HPV-positive subjects, 172 (42.7%) had single HPV infections while the remaining 231 (57.3%) were infected with multiple types of HPV. Our results indicated a remarkable growth of high-risk HPV66 and 68 and low-risk HPV81 which have rarely been reported in Iran and HPV90 and 87 that are reported for the first time in the country. In addition, 3 lineages (A, D, and C) and 6 sublineages (A1, A2, A4, C1, D1, and D2) of HPV16, and one lineage and 4 sublineages (A1, A3, A4, and A5) of HPV18 were identified. The studied HPV16 and 18 variants mainly belonged to the D1 and A4 sublineages, respectively.
CONCLUSION: The present study suggests that the prevalence of HPV infection in women of all age groups with or without premalignant lesions in the southwestern Iran is high and the predominant HPV types in the southwest of Iran may differ from those detected in other parts of the country. This study also highlights the necessity of not only initiating HPV vaccination for the general population but also developing new vaccines that confer immunity against the prevalent HPV types in the area and national cervical screening programs using a combination of thinPrep cytology test and HPV detection assays in order to improve the accuracy of the screening.
MATERIALS AND METHODS: We evaluated simple statistics and published model-based approaches. Multiplex-qPCR was conducted to determine the expression of 24 candidate RG in AMLs (N=9). Singleplex-qPCR was carried out on selected RG (SRP14, B2M and ATP5B) and genes of interest in AML (N=15) and healthy controls, HC (N=12).
RESULTS: RG expression levels in AML samples were highly variable and coefficient of variance (CV) ranged from 0.37% to 10.17%. Analysis using GeNorm and Normfinder listed different orders of most stable genes but the top seven (ACTB, UBE2D2, B2M, NF45, RPL37A, GK, QARS) were the same. In singleplex-qPCR, SRP14 maintained the lowest CV in AML samples. B2M, one of most stable reference genes in AML, was expressed near significantly different in AML and HC. GeNorm selected ATP5B+SRP14 while Normfinder chose SRP14+B2M as the best two RG in combination. The median expressions of combined RG genes in AML compared to HC were less significantly different than individually implying smaller expression variation after combination. Genes of interest normalised with RG in combination or individually, displayed significantly different expression patterns.
CONCLUSIONS: The selection of best reference gene in qPCR must consider all sample sets. Model-based approaches are important in large candidate gene analysis. This study showed combination of RG SRP14+B2M was the most suitable normalisation factor for qPCR analysis of AML and healthy individuals.