Project description:My father was diagnosed with stomach cancer recently. Luckily, it was still at an early stage, and endoscopic surgery successfully took care of it. My father was fortunate; since people with stomach cancer do not show clear symptoms in the early stages, the disease is often not diagnosed until it becomes advanced. In his case, the diagnosis started from a suggestion by his doctor to check whether he had a gastric infection with Helicobacter pylori, a bacterial species found in the digestive tract. In Japan, where he lives, a majority of gastric cancer patients (more than 99%) have been infected with H. pylori [1], and the causative role of this bacterial species in promoting gastric cancer is very well established. Now, scientific understanding connecting gastric cancer to H. pylori is saving the lives of many people, including my father. Thinking about this recent personal experience, I wonder if the connection between bacteria and cancer might have been considered a crazy idea decades ago. Research makes it possible to connect seemingly unrelated matters. My laboratory works on seemingly unrelated research topics, such as fungal infections and autoimmunity. However, my question is the same whatever the topic: How do leukocytes elicit and regulate inflammation when they detect infections or endogenous signals? In fact, host receptors detecting pathogens can induce autoimmunity, and autoimmunity alters host sensitivity to pathogens due to the imbalance in the immune system. We are beginning to gain some insight into this question, as revealed by some of our recent studies. For example, the NLR family, pyrin domain containing 3 (NLRP3) inflammasome, which is known to sense a wide variety of pathogens, can also change the course of experimental autoimmune encephalomyelitis (EAE), an animal model of multiple sclerosis (MS). In particular, our study suggested that disease treatment approaches need to be changed based on the activation status of the NLRP3 inflammasome [2]. Another recent study from our laboratory demonstrated that a protein, termed osteopontin (OPN), skews the balance of population sizes between myeloid cells (i.e., innate immunity) and lymphoid cells (i.e., adaptive immunity) during infections and other biological insults [3]. An intracellular isoform of OPN (iOPN) negatively regulates emergency myelopoiesis. Thus, OPN attenuates host resistance by limiting neutrophil supply at the early stage of systemic Candida infection. In contrast, a secreted OPN (sOPN) isoform positively regulates the expansion of T lymphocytes and ends up triggering autoimmune colitis. I am an immunologist but obtained my PhD in mycology. Nevertheless, it took some time for me to appreciate that research enables us to connect the dots placed far apart. This is a truly exciting time to connect seemingly unrelated biological phenomena, because scientists are exponentially increasing our understanding of nature. This is particularly true in innate immunity, which is not only the central alarming system in host-microbe interactions but also relates to almost any human disease we can imagine. However, we are facing a dark age for science and research, in which certain interests wrongfully discredit some research fields. There are things that can be achieved only by research. I am always ready to tell anyone, "Yes, research matters!".
Project description:Physical distancing has been argued as one of the effective means to combat the spread of COVID-19 before a vaccine or therapeutic drug becomes available. How far people can be spatially separated is partly behavioral but partly constrained by population density. Most models developed to predict the spread of COVID-19 in the U.S. do not include population density explicitly. This study shows that population density is an effective predictor of cumulative infection cases in the U.S. at the county level. Daily cumulative cases by counties are converted into 7-day moving averages. Treating the weekly averages as the dependent variable and the county population density levels as the explanatory variable, both in logarithmic scale, this study assesses how population density has shaped the distributions of infection cases across the U.S. from early March to late May, 2020. Additional variables reflecting the percentages of African Americans, Hispanic-Latina, and older adults in logarithmic scale are also included. Spatial regression models with a spatial error specification are also used to account for the spatial spillover effect. Population density alone accounts for 57% of the variation (R-squared) in the aspatial models and up to 76% in the spatial models. Adding the three population subgroup percentage variables raised the R-squared of the aspatial models to 72% and the spatial model to 84%. The influences of the three population subgroups were substantial, but changed over time, while the contributions of population density have been quite stable after the first several weeks, ascertaining the importance of population density in shaping the spread of infection in individual counties, and in their neighboring counties. Thus, population density and sizes of vulnerable population subgroups should be explicitly included in transmission models that predict the impacts of COVID-19, particularly at the sub-county level.
Project description:WHO has declared the outbreak of monkeypox as a public health emergency of international concern. In less than three months, monkeypox was detected in more than 30 000 people and spread to more than 80 countries around the world. It is believed that the immunity formed to smallpox vaccine can protect from monkeypox infection with high efficiency. The widespread use of Vaccinia virus has not been carried out since the 1980s, which raises the question of the level of residual immunity among the population and the identification of groups requiring priority vaccination. We conducted a cross-sectional serological study of remaining immunity among Moscow residents. To do this, a collection of blood serum samples of age group over 30 years old was formed, an in-house ELISA test system was developed, and a virus neutralization protocol was set up. Serum samples were examined for the presence of IgG antibodies against Vaccinia virus (n=2908), as well as for the ability to neutralize plaque formation with a Vaccinia virus MNIIVP-10 strain (n=299). The results indicate the presence of neutralizing antibody titer of 1/20 or more in 33.3 to 53.2% of people older than 45 years. Among people 30-45 years old who probably have not been vaccinated, the proportion with virus neutralizing antibodies ranged from 3.2 to 6.7%. Despite the higher level of antibodies in age group older than 66 years, the proportion of positive samples in this group was slightly lower than in people aged 46-65 years. The results indicate the priority of vaccination in groups younger than 45, and possibly older than 66 years to ensure the protection of the population in case of spread of monkeypox among Moscow residents. The herd immunity level needed to stop the circulation of the virus should be at least 50.25 - 65.28%.
Project description:Smallpox was eradicated more than 10 years ago, but infection with another Orthopoxvirus, monkeypox virus, can result in a clinical picture resembling smallpox. Human infection with monkeypox virus is extremely rare, not easily transmitted, and confined to the rain forest belt of Africa (Z. Jezek and F. Fenner, p. 81-102, in Human Monkeypox, 1988). Evidence that variola virus, the causative agent of smallpox, might be readily derived from monkeypox virus was presented [S. S. Marennikova and E. M. Shelukhina, Nature (London) 276:291-292, 1978; S. S. Marennikova, E. M. Shelukhina, N. N. Maltseva, and G. R. Matsevich Intervirology 11:333-340, 1979], but this was not confirmed [K. R. Dumbell and L. C. Archard, Nature (London) 286:29-32, 1980] and was subsequently discounted (J. J. Esposito, J. H. Nakano, and J. F. Obijeski, Bull. W.H.O. 63:695-703, 1985). Although enough difference between the genomes of monkeypox and variola viruses to rule out a simple interconversion has been demonstrated [K. R. Dumbell and L. C. Archard, Nature (London) 286:29-32, 1980; J. J. Esposito and J. C. Knight, Virology 143:230-251, 1985; J. J. Esposito, J. H. Nakano, and J. F. Obijeski, Bull. W.H.O. 63:695-703, 1985; M. Mackett and L. C. Archard, J. Gen. Virol. 45:683-701, 1979], the possibility that monkeypox virus was a more remote ancestor of variola virus remained. We have now identified a sequence in monkeypox virus DNA which is a homolog of a 1,065-bp open reading frame in the conserved region of the variola virus genome but which has multiple deletions. This is strong evidence that monkeypox virus is not ancestral to variola virus and strengthens confidence in the long-term success of smallpox eradication.