Background: Noncontact Electro Capacitive Cancer Therapy (ECCT) is a novel treatment modality in cancer. Chemokine (C-C motif) ligand 2 (CCL2) has a major role in the outgrowth of metastatic breast cancer. Interleukin 18 (IL18) plays a role in macrophage alteration, which leads to excessive angiogenesis. This study aims to elaborate on the association of CCL2, IL18, IL23α, and TNF-α (tumor necrosis factor-alpha) expression with the anti-proliferative effect of ECCT in rat breast tumor tissue. Methods: Low intensity (18 Vpp) and intermediate frequency (150 kHz) alternating current-electric field (AC-EF) between two capacitive electrodes were exposed as external EF to a rat cage. Twenty-four rats were divided into four groups of six replicates. Breast tumor tissues were collected from 7, 12-dimethylbenz[a]anthracene (DMBA)-induced rats. Two groups were non DMBA-induced rats without ECCT exposure (NINT) and with (NIT). The other two groups were DMBA-induced rats without ECCT exposure (INT) and with (IT). Mammary glands and breast tumor tissues were collected from each group and preserved. Hematoxylin-eosin and immunohistochemistry staining were performed on paraffin sections of tissues using anti-PCNA, anti-ErbB2, anti-Caspase3, and anti-CD68. CCL2, IL18, IL23α, and TNF-α mRNA relative expressions were analyzed using qRT-PCR. Results: ECCT exposure may cause the reduction of PCNA protein expression as well as ErbB2 on breast tumor tissues, but it causes the increase of Caspase3 and macrophage CD68 protein. In rat breast tumor tissues of IT groups, the mRNA expression of CCL2 and IL18 are significantly down-regulated, in contrast with the up-regulated expression of these cytokines in tumor tissues of the INT group. IL23α and TNF- α expression remained similar in both groups. Conclusion: CCL2 and IL18 expressions have an association with the inhibition of breast tumor cell proliferation affected by ECCT exposure
SARS-CoV-2 has shaken the world by extremely raising death tolls, illnesses, and economic losses. The virus is transmitted by humans to other humans, spreading to more than 200 countries. This research aims to analyze the transmission dynamics of novel Coronavirus-SARS-CoV-2 in South Sumatera Indonesia. This is epidemiologic research, and the research population is all SARS-CoV-2 patients and those who have close contact with the patients in all districts/cities in South Sumatera. It has been widely known that those that have made contact with patients confirmed positive for SARS-CoV-2 has a risk of getting infected by SARS-CoV-2 by 3.591 higher than those who never have (OR = 3.591, 95% CI: 2.933–4.396). Also, according to the findings, those who have a contact history to patients confirmed positive for SARS-CoV-2 have a risk of getting infected by SARS-CoV-2 by 2.387 higher than those who never have (OR = 2.387, 95% CI: 1.362–4.184). Meanwhile, those who have no idea for having made contact with patients confirmed positive for SARS-CoV-2 has a risk of getting infected by SARS-CoV-2 by 1.082 higher than those who have never a contact history to the SARS-CoV-2 patients (OR = 1.082, 95% CI: 0.622–1.882). To prevent broader transmission, those who have made contact with the SARS-CoV-2 patients need to be quarantined. The findings help us give community health interventions to globally fight this transmittable disease.
World Health Organization (WHO) has declared the novel corona virus (COVID-19) as a pandemic due to its high transmission and the rapid spread of the COVID-19. Along these lines, there is a need for more research about risk factors that can affect the spread of COVID-19 and its fatality. Therefore, this study aims to analyze risk factors in patients who died from COVID-19 at the Mohammad Hoesin Hospital in Palembang, South Sumatra, Indonesia. This study used a cross-sectional approach. The data were collected from all patients who died with suspected, probable, and confirmed status until September 2020 Data on death due to COVID-19 were collected with suspect, probable, and confirmed status. The results showed that comorbidity became the most dominant factor (62.1%) with (OR Adj) 3.780 (1.000 – 3.168) after controlling for contact history with confirmed cases and sex. There were differences in the mean age and length of stay in patients with confirmed COVID-19 and not. Prevention of death in COVID-19 patients can be done by controlling comorbidities and contact history with positive cases of COVID-19.
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