Trends in Microbiology最新文献

Serological studies uniquely strengthen infectious disease surveillance, expanding prevalence estimates to encompass asymptomatic infections, and revealing the otherwise inapparent landscape of immunity, including who is and is not susceptible to infection. They are thus a powerful complement to often incomplete epidemiological and public health measures (administrative measures of vaccination coverage, incidence estimates, etc.). The recent surge in the deployment of serological surveys globally (in part due to the SARS-CoV-2 pandemic), alongside the development of new assays and new inference methods, means that the time is ripe to interrogate areas to strengthen future serosurveillance efforts. We identify three themes warranting attention: first, expanding the geographical diversity of these studies; second, investing globally in infrastructure for storage of blood samples (biobanking), opening the way to future analyses; and third, establishing protocols to increase data accessibility and to facilitate data usage for current and future studies. We conclude that strengthening serological studies is necessary and achievable through thoughtful sampling design, wide-scale sample storage, and thorough reporting practices.

Evidence is growing that human-associated early-life microbial diversity modulates health over the long term, via effects in the infant termed 'immune and metabolic education'. Documenting high microbial diversity contexts, such as in Africa, thus, has rich potential for understanding this aspect of the landscape of health. Yet, change on the continent is occurring rapidly, and microbial communities are shifting as behaviors and diets are altered, and antibiotic use expands; we may be losing the opportunity to obtain relevant data. After introducing what is known about the effects of early life microbial diversity on late life health, we provide an overview of what is known of the current, and expected future, trajectory of human-associated microbial diversity in Africa, introducing data on the core drivers. We argue that critical insights may be lost if better understanding of infant microbial communities in Africa is not obtained soon.

Research on the human gut microbiome is expanding rapidly; yet, most published studies focus on populations from high-income regions such as North America and Europe. Underrepresentation of populations from low- and middle-income countries in the microbiome literature limits the generalizability of microbiome-health associations. These challenges are compounded by computational barriers, including biases in reference databases, nonrepresentative metadata, and infrastructure limitations in low- and middle-income countries. However, recent efforts in large-scale global sampling have begun to address these problems. This review provides recommendations for future research efforts applying computational analysis to global microbiome data, including guidelines to initiate and maintain equitable partnerships, identify representative datasets, overcome technical limitations, and contextualize results at the global scale.

High variability in human gut microbiota is a challenge in the identification of consistent microbe-disease associations. Two Cell papers by Nishijima et al. and Abdill, Graham, et al. addressed this by curating large public microbiome datasets. They highlight long overlooked drivers of gut microbiome variance, such as fecal microbial biomass and geographical locations of study participants, necessitating diverse population representation in microbiome research.

Including Indigenous Peoples in microbiome research is both a scientific imperative and an ethical responsibility. Our long-standing partnership with the Matsés Peoples from the Peruvian Amazon provided scientific insights in microbial profiles that have coevolved with humans, studies only possible via trust-based ethical partnerships. Community-based participatory research (CBPR) is essential to navigate mistrust rooted in historical injustices. We present our experience implementing culturally informed protocols and equitable benefit-sharing as cornerstones of respectful, inclusive microbiome research with Peruvian Indigenous Peoples. This approach fosters sustainable research partnerships grounded in reciprocal trust and mutual benefit.

Despite significant advancements in arbovirus research, contributions remain disproportionately focused on regions with reported major outbreaks of diseases such as dengue, Zika, and chikungunya. This bias risks neglecting potentially critical properties in viral evolution, transmission dynamics, ecological drivers, and host-pathogen interactions that occur within the less-studied areas. Recent developments highlight the importance of incorporating data from underrepresented regions and from recent surveillance approaches to uncover novel insights that could enhance global preparedness and response strategies. This opinion explores frameworks for generating and integrating diverse geographical data, proposing equitable research approaches to better capture the global heterogeneities and properties of at-risk environments and populations. A geographically inclusive perspective is essential to address emerging arboviral challenges, particularly in the context of a changing environment and shifting land use patterns.