Physico-chemical properties of tumor cells that influence their susceptibility to humoral immune killing

Line-10 guinea pig hepatoma cells are susceptible to killing by antibody plus human complement, but resistant to killing by antibody plus guinea pig complement. Tumor cells treated with agents that reversibly increase (adriamycin), decrease (insulin or hydrocortisone), or have no effect (5-fluorouracil) on the susceptibility of the cells to antibody-complement killing were tested for their lipid and fatty acid composition. Hormone-treated (resistant) cells showed an increased total lipid content, an increased cholesterol: phospholipid ratio, and a depressed level of unsaturated fatty acids in the cellular neutral and phospholipids compared to control untreated cells. Adriamycin-treated (sensitive) cells showed exactly the opposite effects. The lipid composition of both hormone- and adriamycin-treated cells returned to control levels when the cells reverted to control levels of susceptibility to antibody-complement killing. 5-fluorouracil-treated cells were indistinguishable from untreated controls in their lipid and fatty acid composition. The chemical composition of the cell, and its effects on the physical properties of the cellular membranes, therefore appears to be fundamental for the ability of these tumor cells to resist humoral immune attack.     

Analysis of the virus dynamics model reveals that early treatment of HCV infection may lead to the sustained virological response

Considerable progress has been made towards understanding hepatitis C virus, its pathogenesis and the effect of the drug therapy on the viral load, yet around 50% of patients do not achieve the sustained virological response (SVR) by the standard treatment. Although several personalized factors such as patients' age and weight may be important, by mathematical modeling we show that the time of the start of the therapy is a significant factor in determining the outcome. Toward this end, we first performed sensitivity analysis on the standard virus dynamics model. The analysis revealed four phases when the sensitivity of the infection to drug treatment differs. Further, we added a perturbation term in the model to simulate the drug treatment period and predict the outcome when the therapy is carried out during each of the four phases. The study shows that while the infection may be difficult to treat in the late phases, the therapy is likely to result in SVR if it is carried out in the first or second phase. Thus, development of newer and more sensitive screening methods is needed for the early detection of the infection. Moreover, the analysis predicts that the drug that blocks new infections is more effective than the drug that blocks the virus production.     

Approximate Bayesian computation reveals the factors that influence genetic diversity and population structure of foxsnakes

Contemporary geographical range and patterns of genetic diversity within species reflect complex interactions between multiple factors acting across spatial and temporal scales, and it is notoriously difficult to disentangle causation. Here, we quantify patterns of genetic diversity and genetic population structure using mitochondrial DNA sequences (101 individuals, cytochrome b) and microsatellites (816 individuals, 12 loci) and use Approximate Bayesian computation methods to test competing models of the demographic history of eastern and western foxsnakes. Our analyses indicate that post-glacial colonization and past population declines, probably caused by the infilling of deciduous forest and cooler temperatures since the mid-Holocene, largely underpin large-scale genetic patterns for foxsnakes. At finer geographical scales, our results point to more recent anthropogenic habitat loss as having accentuated genetic population structure by causing further declines and fragmentation.     

A preliminary study of genetic factors that influence susceptibility to bovine tuberculosis in the British cattle herd

Associations between specific host genes and susceptibility to Mycobacterial infections such as tuberculosis have been reported in several species. Bovine tuberculosis (bTB) impacts greatly the UK cattle industry, yet genetic predispositions have yet to be identified. We therefore used a candidate gene approach to study 384 cattle of which 160 had reacted positively to an antigenic skin test ('reactors'). Our approach was unusual in that it used microsatellite markers, embraced high breed diversity and focused particularly on detecting genes showing heterozygote advantage, a mode of action often overlooked in SNP-based studies. A panel of neutral markers was used to control for population substructure and using a general linear model-based approach we were also able to control for age. We found that substructure was surprisingly weak and identified two genomic regions that were strongly associated with reactor status, identified by markers INRA111 and BMS2753. In general the strength of association detected tended to vary depending on whether age was included in the model. At INRA111 a single genotype appears strongly protective with an overall odds ratio of 2.2, the effect being consistent across nine diverse breeds. Our results suggest that breeding strategies could be devised that would appreciably increase genetic resistance of cattle to bTB (strictly, reduce the frequency of incidence of reactors) with implications for the current debate concerning badger-culling.     

Host factors influencing susceptibility to HIV infection and AIDS progression

Transmission of HIV first results in an acute infection, followed by an apparently asymptomatic period that averages ten years. In the absence of antiretroviral treatment, most patients progress into a generalized immune dysfunction that culminates in death. The length of the asymptomatic period varies, and in rare cases infected individuals never progress to AIDS. Other individuals whose behavioral traits put them at high-risk of HIV transmission, surprisingly appear resistant and never succumb to infection. These unique cases highlight the fact that susceptibility to HIV infection and progression to disease are complex traits modulated by environmental and genetic factors. Recent evidence has indicated that natural variations in host genes can influence the outcome of HIV infection and its transmission. In this review we summarize the available literature on the roles of cellular factors and their genetic variation in modulating HIV infection and disease progression.     

An analytical study of the factors that influence COVID-19 spread

The outbreak of the coronavirus disease 2019 (COVID-19) continues to constitute an international public health emergency. Seasonality is a long-recognized attribute of many viral infections of humans. Nevertheless, the relationship between environmental factors and the spread of infection, particularly for person-to-person communicable diseases, remains poorly understood. This study explores the relationship between environmental factors and the incidence of COVID-19 in 188 countries with reported COVID-19 cases as of April 13, 2020. Here we show that COVID-19 growth rates peaked in temperate zones in the Northern Hemisphere during the outbreak period, while they were lower in tropical zones. The relationships between COVID-19 and environmental factors were resistant to the potentially confounding effects of air pollution, sea level, and population. To prove the effect of those factors, study, and analysis of the prevalence of COVID-19 in Italy, Spain, and China was undertaken. A fuzzy logic system was designed to predict the effects of that variables on the rate of viral spread of COVID-19.     

Host genetic factors in susceptibility to HIV-1 infection and progression to AIDS

HIV-1 infection has rapidly spread worldwide and has become the leading cause of mortality in infectious diseases. The duration for development of AIDS (AIDS progression) is highly variable among HIV-1 infected individuals, ranging from 2–3 years to no signs of AIDS development in the entire lifetime. Several factors regulate the rate at which HIV-1 infection progresses to AIDS. Host genetic factors play an important role in the outcome of such complex or multifactor diseases as AIDS and are also known to regulate the rate of disease progression. This review focuses on the major host genes reported to affect the progression to AIDS in HIV-1 infected individuals.     

The mouse model of amebic colitis reveals mouse strain susceptibility to infection and exacerbation of disease by CD4+ T cells

Amebic colitis is an important worldwide parasitic disease for which there is not a well-established animal model. In this work we show that intracecal inoculation of Entamoeba histolytica trophozoites led to established infection in 60% of C3H mice, while C57BL/6 or BALB/c mice were resistant, including mice genetically deficient for IL-12, IFN-gamma, or inducible NO synthase. Infection was a chronic and nonhealing cecitis that pathologically mirrored human disease. Characterization of the inflammation by gene chip analysis revealed abundant mast cell activity. Parasite-specific Ab and cellular proliferative responses were robust and marked by IL-4 and IL-13 production. Depletion of CD4(+) cells significantly diminished both parasite burden and inflammation and correlated with decreased IL-4 and IL-13 production and loss of mast cell infiltration. This model reveals important immune factors that influence susceptibility to infection and demonstrates for the first time the pathologic contribution of the host immune response in amebiasis.     

An analysis of the factors that influence the level and scaling of mammalian BMR

The factors influencing the basal rate of metabolism (BMR) in 639 species of mammals include body mass, food habits, climate, habitat, substrate, a restriction to islands or highlands, use of torpor, and type of reproduction. They collectively account for 98.8% of the variation in mammalian BMR, but often interact in complex ways. The factor with the greatest impact on BMR, as always, is body mass (accounting for 96.8% of its variation), the extent of its impact reflecting the 10(6.17)-fold range of mass in measured species. The attempt to derive mathematically the power relationship of BMR in mammals is complicated by the necessity to include all of the factors that influence BMR that are themselves correlated with body mass. BMR also correlates with taxonomic affiliation because many taxa are distinguished by their ecological and behavioral characteristics. Phylogeny, reflecting previous commitments, may influence BMR either through a restriction on the realized range of behaviors or by opening new behavioral and ecological opportunities. A new opportunity resulted from the evolution by eutherians of a type of reproduction that permitted species feeding on high quality resources to have high BMRs. These rates facilitated high rates of gas, nutrient, and waste exchange between a pregnant eutherian and her placental offspring. This pattern led to high rates of reproduction in some eutherians, a response denied all monotremes and marsupials, thereby permitting eutherians to occupy cold-temperate and polar environments and to dominate other mammals in all environments to which ecologically equivalent eutherians had access.     

The influence of adiponectin on the transcriptomic profile of porcine luteal cells

Reproductive functions are closely related to nutritional status. Recent studies suggest that adiponectin may be a hormonal link between them. Adiponectin is an adipocytokine, abundantly expressed in adipose tissues. It plays a dominant role in lipid and carbohydrate metabolism by stimulating fatty acid oxidation, decreasing plasma triglycerides, and increasing cells’ sensitivity to insulin and has direct antiatherosclerotic effects. The hormone is also postulated to play a modulatory role in the regulation of the reproductive system. The aim of this study was to identify differentially expressed genes (DE-genes) in response to adiponectin treatment of porcine luteal ovarian cells. The global expression of genes in the porcine ovary was investigated using the Porcine (V2) Two-color gene expression microarray, 4?×?44 (Agilent, USA). Analysis of the microarray data showed that 701 genes were differentially expressed and 389 genes showed a fold change greater than 1.2 (p?<?0.05). Among this number, 186 genes were up-regulated and 203 were down-regulated. The list of DE-genes was used for gene ontology analyses. The biological process list was generated from up-regulated and down-regulated DE-genes. We found that up-regulated products of DE-genes take part in 30 biological processes and down-regulated products in 9. Analysis of the interaction network among DE-genes showed that adiponectin interacts with genes involved in important processes in luteal cells. These results provide a basis for future work describing the detailed interactions and relationships explaining local regulation of adiponectin actions in the ovary of pigs.     

自然保护区管理效果影响因素

自然保护区的管理效果是保护区管理工作能力的重要考核指标。由于管理基础、管理机制和管理行为的不同,对保护区的管理效果产生影响的因素也有差异。为了剖析保护区管理过程中各项管理要素对管理效果产生影响情况及其重要程度,从林业系统中选取154个国家级自然保护区进行问卷调查,从26项管理要素中得到14项能体现管理有效性的关键评价指标,在此基础上。利用X^2检验的方法,分析这些关键评价指标与保护区的管理效果之间的关系,为今后的管理工作提供参考依据。经过研究,自然保护区管理效果的3个指标（保护状况E1、保护区控制E2、对当地社区经济效益的影响E3）中,目前E1在各个保护区中的管理效果得分中最高,这说明维护保护区的保护状况仍是各个保护区最为重视的工作目标;而保护区管理有效性评价指标中各个因子对于管理效果有不同的影响结果。在这些管理评价指标中,宣传项目是唯一对保护区管理效果中的3个指标都有影响的因素,并对E1这一管理效果因素影响最大,而管理监督评价和旅游管理与收费则是分别对E2、E3的影响最大。通过分析,将会更加明确保护区的管理因素中各个指标的重要性,通过对采取合理的方式,最终可以提高保护区的管理效果。     

An integrated platform of genomic assays reveals small-molecule bioactivities

Bioactive compounds are widely used to modulate protein function and can serve as important leads for drug development. Identifying the in vivo targets of these compounds remains a challenge. Using yeast, we integrated three genome-wide gene-dosage assays to measure the effect of small molecules in vivo. A single TAG microarray was used to resolve the fitness of strains derived from pools of (i) homozygous deletion mutants, (ii) heterozygous deletion mutants and (iii) genomic library transformants. We demonstrated, with eight diverse reference compounds, that integration of these three chemogenomic profiles improves the sensitivity and specificity of small-molecule target identification. We further dissected the mechanism of action of two protein phosphatase inhibitors and in the process developed a framework for the rational design of multidrug combinations to sensitize cells with specific genotypes more effectively. Finally, we applied this platform to 188 novel synthetic chemical compounds and identified both potential targets and structure-activity relationships.