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Long intergenic noncoding RNA1184 (linc01184) has been recently discovered; however, its role in human diseases is limited to date. The present study is aimed at investigating the expression pattern and mechanism of linc01184 in colorectal cancer (CRC) tumorigenesis.

The expression of linc01184 in CRC tissues and cell lines was compared with that in normal controls. The functions of linc01184 in CRC cells were identified by overexpression and small interfering RNA (siRNA) approaches in vitro. Meanwhile, the target gene prediction software, luciferase reporter, RNA pull-down, and western blotting assays were used to analyze the oncogenic mechanism.

We found that linc01184 was obviously upregulated in CRC tissues and cells when compared to normal controls, and its upregulation had a positive association with the CRC progression. linc01184 knockdown significantly suppressed CRC cell proliferation and invasion and promoted apoptosis. Besides, linc01184 acted as a competitive endogenous RNA (ceRNA) by directly binding to microRNA-331 (miR-331), and its overexpression resulted in notable increases of human epidermal growth factor receptor 2 (HER2), phosphorylated Ser/Thr kinases (p-Akt), and extracellular regulated protein kinase 1/2 (p-ERK1/2) at posttranscriptional levels in CRC cells, which were antagonized by miR-331.

The findings reveal for the first time that linc01184 is an enhancer for the proliferation and invasion of CRC by functioning as a ceRNA through the linc01184-miR-331-HER2-p-Akt/ERK1/2 pathway regulatory network.

The findings reveal for the first time that linc01184 is an enhancer for the proliferation and invasion of CRC by functioning as a ceRNA through the linc01184-miR-331-HER2-p-Akt/ERK1/2 pathway regulatory network.

The gene encoding the vitamin D receptor (

) is considered in many studies to be a good candidate responsible for susceptibility to several diseases such as coronary artery disease (CAD). Epidemiological data show that cardiovascular disease is one of the major health problems in Polish society. Basic studies show that genetic factors play a significant role in the pathogenesis of CAD. We conducted this clinical study to determine if the

gene polymorphisms TaqI (rs731236), ApaI (rs7975232), and FokI (rs2228570) could predispose healthy individuals to an increased risk of premature CAD (P-CAD) incidents.

We genotyped 845 subjects in a cohort consisting of 386 healthy volunteers with a documented P-CAD incident in their first-degree relatives and 459 healthy volunteers without family history (FH) of P-CAD. TaqI, ApaI, and FokI polymorphisms in

were genotyped using TaqMan assays and the endpoint genotyping method (qPCR). Statistical analyses were performed using the Power Analysis Software STATISTICA v.13.3.

Although no statistical significance was found for TaqI and ApaI genotype frequencies, the AA genotype of FokI polymorphism was significantly more frequent in the study group compared to the control group (24.61% vs. 16.99%). The results of logistic regression analysis suggested a significant association between FokI polymorphism and FH of P-CAD in heathy people under the recessive model (OR 1.26 (1.07-1.49,

= 0.007)); however, the frequency of

haplotypes did not differ significantly between the control and study populations.

FokI polymorphism is may be associated with FH of P-CAD. FokI polymorphism may predispose to the development of P-CAD among healthy people over the next years.

FokI polymorphism is may be associated with FH of P-CAD. FokI polymorphism may predispose to the development of P-CAD among healthy people over the next years.

Mice were randomly divided into experimental groups as follows the control group received normal saline and MS groups received normal saline, limonene (10 and 20 mg/kg), L-NAME (10 mg/kg), L-arginine (L-arg) (75 mg/kg), limonene (10 mg/kg) plus L-NAME, and limonene (20 mg/kg) plus L-arg. Behavioral tests including the forced swimming test (FST), open field test (OFT), and splash test were performed. Finally, serum and hippocampal nitrite levels as well as the expression of inflammatory genes (IL-1

and TNF-

) in the hippocampus were measured.

We showed that MS caused depressive-like behavior. Treatment of MS mice with limonene reduced the duration of immobility time in FST and increases the grooming activity time in the splash test. Limonene also reduces serum and brain nitrite levels and reduces the expression of IL-1

and TNF-

in the hippocampus. We found that L-NAME potentiated the effects of a subeffective dose of limonene.

We concluded that the antidepressant-like effects of limonene are probably mediated through inhibition of neuroinflammation and attenuation of nitrite levels in the hippocampus.

We concluded that the antidepressant-like effects of limonene are probably mediated through inhibition of neuroinflammation and attenuation of nitrite levels in the hippocampus.Using the Global Behaviors and Perceptions in the COVID-19 Pandemic dataset covering 108,918 respondents from 178 countries, the paper examines the determinants of public trust in governments during the COVID-19. It is found that older and healthy people trust more to their governments. Education is negatively related to trust in governments. see more The results are robust to consider different measures of trust in government as well as including various controls, such as precautionary behaviors, first-order beliefs, second-order beliefs, and the COVID-19 prevalence in the country. The findings are also valid for countries at different stages of economic development as well to varying levels of globalization, institutional quality, and freedom of the press.Among radiological imaging data, Chest X-rays (CXRs) are of great use in observing COVID-19 manifestations. For mass screening, using CXRs, a computationally efficient AI-driven tool is the must to detect COVID-19-positive cases from non-COVID ones. For this purpose, we proposed a light-weight Convolutional Neural Network (CNN)-tailored shallow architecture that can automatically detect COVID-19-positive cases using CXRs, with no false negatives. The shallow CNN-tailored architecture was designed with fewer parameters as compared to other deep learning models. The shallow CNN-tailored architecture was validated using 321 COVID-19-positive CXRs. In addition to COVID-19-positive cases, another set of non-COVID-19 5856 cases (publicly available, source Kaggle) was taken into account, consisting of normal, viral, and bacterial pneumonia cases. In our experimental tests, to avoid possible bias, 5-fold cross-validation was followed, and both balanced and imbalanced datasets were used. The proposed model achieved the highest possible accuracy of 99.