Early stage Fasciola hepatica infection in growing cattle: impact on weight gain and liver weight determined in flukicide efficacy studies.

Although the negative impact of liver fluke (Fasciola hepatica) infection on production and health in cattle is generally accepted, results of individual research have been variable, ranging from important negative impacts on the animal to minimal or no impact. To add information on the impact of F. hepatica infection in growing cattle, weight gain and liver weight of young experimentally infected animals from seven controlled efficacy studies were analyzed. In each study, fluke naïve animals were inoculated with approximately 450 to 500 F. hepatica encysted metacercariae, blocked on body weight and randomly assigned into one untreated group (controls) and groups which were administered an experimental flukicide when the flukes were 4 weeks old (migrating) and sacrificed 8 weeks thereafter (12 weeks after inoculation). Data of groups which demonstrated >90% reduction of fluke counts following treatment and groups left untreated (total 103 and 47 animals, respectively) were compared. There was a significant (p < 0.0001) negative association between fluke count and weight gain while fluke count and liver weight and fluke count and relative liver weight were positively associated (p < 0.0001). Over the 8-week post-treatment period, flukicide-treated cattle had almost 15% more weight gain than the controls (50.9 kg vs. 44.4 kg; p = 0.0003). Absolute and relative liver weight was significantly (p < 0.0001) lower in flukicide-treated compared to untreated cattle. Overall, this analysis provided evidence of a substantial negative effect of early (migrating) liver fluke infection on the growth of young cattle, likely due to pathology of the liver and associated reduction in its function as the central organ for bioenergy and protein metabolism.

Doubling Time of the COVID-19 Epidemic by Province, China.

In China, the doubling time of the coronavirus disease epidemic by province increased during January 20-February 9, 2020. Doubling time estimates ranged from 1.4 (95% CI 1.2-2.0) days for Hunan Province to 3.1 (95% CI 2.1-4.8) days for Xinjiang Province. The estimate for Hubei Province was 2.5 (95% CI 2.4-2.6) days.

Influence of race and age in sleep duration and mortality relationship among adults in the United States: results from the 2004 NHIS-NDI record linkage study.

Limited information exists on age and racial disparities in sleep duration and mortality in the United States (US) population. This study compared the association between mortality and sleep duration within distinct races and age groups in the US. This study used data on 26,915 US citizens (≥ 18 years) from the 2004 wave of the National Health Interview Survey, linked to the National Death Index prospective mortality through 2019. Cox proportional hazard models were used to obtain hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality by sleep duration, race (Whites, Black/African Americans, and Others (AIAN, Asian, and Native Hawaiian or other Pacific Islander)), and age (< 40, 40-60, and ≥ 60 years), while controlling for covariates such as sex, education, smoking status, disease history, and other vital factors. Race and age significantly modified the sleep duration-mortality relationship. Compared to other races, White participants exhibited higher mortality risks at all hours except at 5-6 h [HR: 0.993, 95% CI: 0.923-1.069]. Likewise, sleep duration associated mortality risks varied by age. Those at greater risk included < 40 years sleeping for 1-4 h [HR: 2.461, 95% CI: 1.446-4.187], 40-< 60 years sleeping for less than 7 h and more than 8 h, and ≥ 60 years sleeping for 9 h [HR: 1.309, 95% CI: 1.162-1.475] and ≥ 10 h [HR: 1.662, 95% CI: 1.486-1.858]. Age and race were significant effect modifiers in the sleep duration-mortality relationship. Thus, it is important to consider these factors when evaluating mortality risks associated with sleep patterns. Supplementary Information: The online version contains supplementary material available at 10.1007/s41105-024-00536-x.

Dynamic Changes in the Extracellular Matrix in Primary, Metastatic, and Recurrent Ovarian Cancers.

Cancer-associated fibroblasts (CAFs) and their extracellular matrix are active participants in cancer progression. While it is known that functionally different subpopulations of CAFs co-exist in ovarian cancer, it is unclear whether certain CAF subsets are enriched during metastatic progression and/or chemotherapy. Using computational image analyses of patient-matched primary high-grade serous ovarian carcinomas, synchronous pre-chemotherapy metastases, and metachronous post-chemotherapy metastases from 42 patients, we documented the dynamic spatiotemporal changes in the extracellular matrix, fibroblasts, epithelial cells, immune cells, and CAF subsets expressing different extracellular matrix components. Among the different CAF subsets, COL11A1+ CAFs were associated with linearized collagen fibers and exhibited the greatest enrichment in pre- and post-chemotherapy metastases compared to matched primary tumors. Although pre- and post-chemotherapy metastases were associated with increased CD8+ T cell infiltration, the infiltrate was not always evenly distributed between the stroma and cancer cells, leading to an increased frequency of the immune-excluded phenotype where the majority of CD8+ T cells are present in the tumor stroma but absent from the tumor parenchyma. Overall, most of the differences in the tumor microenvironment were observed between primary tumors and metastases, while fewer differences were observed between pre- and post-treatment metastases. These data suggest that the tumor microenvironment is largely determined by the primary vs. metastatic location of the tumor while chemotherapy does not have a significant impact on the host microenvironment.

Assessing Early Heterogeneity in Doubling Times of the COVID-19 Epidemic across Prefectures in Mainland China, January-February, 2020.

To describe the geographical heterogeneity of COVID-19 across prefectures in mainland China, we estimated doubling times from daily time series of the cumulative case count between 24 January and 24 February 2020. We analyzed the prefecture-level COVID-19 case burden using linear regression models and used the local Moran's I to test for spatial autocorrelation and clustering. Four hundred prefectures (~98% population) had at least one COVID-19 case and 39 prefectures had zero cases by 24 February 2020. Excluding Wuhan and those prefectures where there was only one case or none, 76 (17.3% of 439) prefectures had an arithmetic mean of the epidemic doubling time <2 d. Low-population prefectures had a higher per capita cumulative incidence than high-population prefectures during the study period. An increase in population size was associated with a very small reduction in the mean doubling time (-0.012, 95% CI, -0.017, -0.006) where the cumulative case count doubled ≥3 times. Spatial analysis revealed high case count clusters in Hubei and Heilongjiang and fast epidemic growth in several metropolitan areas by mid-February 2020. Prefectures in Hubei and neighboring provinces and several metropolitan areas in coastal and northeastern China experienced rapid growth with cumulative case count doubling multiple times with a small mean doubling time.

Analysis of the Temporal Patterning of Notch Downstream Targets during Drosophila melanogaster Egg Chamber Development.

Living organisms require complex signaling interactions and proper regulation of these interactions to influence biological processes. Of these complex networks, one of the most distinguished is the Notch pathway. Dysregulation of this pathway often results in defects during organismal development and can be a causative mechanism for initiation and progression of cancer. Despite previous research entailing the importance of this signaling pathway and the organismal processes that it is involved in, less is known concerning the major Notch downstream targets, especially the onset and sequence in which they are modulated during normal development. As timing of regulation may be linked to many biological processes, we investigated and established a model of temporal patterning of major Notch downstream targets including broad, cut, and hindsight during Drosophila melanogaster egg chamber development. We confirmed the sequential order of Broad upregulation, Hindsight upregulation, and Cut downregulation. In addition, we showed that Notch signaling could be activated at stage 4, one stage earlier than the stage 5, a previously long-held belief. However, our further mitotic marker analysis re-stated that mitotic cycle continues until stage 5. Through our study, we once again validated the effectiveness and reliability of our MATLAB toolbox designed to systematically identify egg chamber stages based on area size, ratio, and additional morphological characteristics.

Social Media Use in Emergency Response to Natural Disasters: A Systematic Review With a Public Health Perspective.

Social media research during natural disasters has been presented as a tool to guide response and relief efforts in the disciplines of geography and computer sciences. This systematic review highlights the public health implications of social media use in the response phase of the emergency, assessing (1) how social media can improve the dissemination of emergency warning and response information during and after a natural disaster, and (2) how social media can help identify physical, medical, functional, and emotional needs after a natural disaster. We surveyed the literature using 3 databases and included 44 research articles. We found that analyses of social media data were performed using a wide range of spatiotemporal scales. Social media platforms were identified as broadcasting tools presenting an opportunity for public health agencies to share emergency warnings. Social media was used as a tool to identify areas in need of relief operations or medical assistance by using self-reported location, with map development as a common method to visualize data. In retrospective analyses, social media analysis showed promise as an opportunity to reduce the time of response and to identify the individuals' location. Further research for misinformation and rumor control using social media is needed.

Doubling Time of the COVID-19 Epidemic by Chinese Province.

COVID-19 epidemic doubling time by Chinese province was increasing from January 20 through February 9, 2020. The harmonic mean of the arithmetic mean doubling time estimates ranged from 1.4 (Hunan, 95% CI, 1.2-2.0) to 3.1 (Xinjiang, 95% CI, 2.1-4.8), with an estimate of 2.5 days (95% CI, 2.4-2.6) for Hubei.

Serum total adiponectin level and the risk of cardiovascular disease in general population: a meta-analysis of 17 prospective studies.

OBJECTIVE: Many studies have assessed the association between serum adiponectin and the risk of cardiovascular disease (CVD), yet whether adiponectin is an independent risk factor for CVD remains controversial. We performed a meta-analysis of 17 prospective epidemiologic studies to evaluate this relationship in the general population. METHODS: PubMed and Embase databases were searched through June 2012 to identify studies meeting a priori inclusion criteria, in addition to conducting a secondary reference review. Two principle investigators respectively extracted the information with either fixed-effect model or random-effect model to calculate the relationship between adiponectin and the risk of CVD. RESULTS: We summarized 17 prospective studies with a total of 23,717 participants. Overall, higher serum adiponectin was related to an increased risk of ischemic stroke: pooled risk ratio (RR) of 1.34 [95% confidence intervals (CI): 1.06-1.69] with no heterogeneity (Q = 1.23; P = 0.541). Serum adiponectin was not related to coronary heart disease (CHD) or CVD: pooled RR of 0.96 (95% CI: 0.85-1.08) and 1.00 (95% CI: 0.89-1.13), respectively. CONCLUSIONS: Increased serum adiponectin was related to an elevated risk of ischemic stroke, but there was no clear evidence indicating a positive relationship between adiponectin and the risk of CHD or CVD.