Objective Lung adenocarcinoma (LUAD) is one of the frequent subtypes of lung cancer, featuring high rates of incidence and mortality. Matrix metalloproteinase 14 (MMP14) is known as a regulator in multiple cancers, whereas its upstream molecular mechanism remains to be investigated. This study aims to reveal the upstream molecular mechanism of MMP14 in LUSC progression. Methods Quantitative real-time polymerase chain reaction (qRT-PCR) and western blot were conducted to examine the levels of MMP14 mRNA and protein in LUAD cells, respectively. Cell counting kit-8 (CCK-8), transwell assay and wound healing assay were implemented to unveil LUAD cell proliferation, migration and invasion after indicated transfections. Flow cytometry analysis was applied to evaluate macrophage polarization. Mechanism experiments such as western blot, co-immunoprecipitation (Co-IP), RNA pulldown assay, luciferase reporter assay and RNA-binding protein immunoprecipitation (RIP) assay were used to explore relevant molecular mechanisms. Results MMP14 facilitated LUAD cell proliferation, invasion and migration. MMP14 is the target gene of miR-1287-5p. Circ-ADRM1 upregulates MMP14 expression through sponging miR-1287-5p. Circ-ADRM1 recruits USP12 to impede the ubiquitination of MMP14 protein, thereby enhancing the stability of MMP14 protein. LUAD-derived exosomes induced macrophage M2 polarization by delivering circ-ADRM1. Conclusions Circ-ADRM1 promotes LUAD cell proliferation, invasion and migration through upregulating MMP14. Additionally, circ-ADRM1 induces macrophage M2 polarization in an exosome-dependent manner.

Background: The widespread use of telemedicine systems and medical information networks has made telemedicine one of the current trends in health care. The purpose of this article is to propose a community health intervention with remote monitoring and teleconsultation during COVID-19 for the prevention and control of COVID-19 at the rural level. Methods: In this intervention study, a randomized group of 1,500 community residents was selected. A questionnaire with acceptable validity and reliability was used to collect data. The study was conducted with the test group itself as a control, and the questionnaire was completed again 6 months after the health intervention through remote monitoring. The extent of the effect of the remote monitoring intervention on community health during COVID-19 was measured. The data were entered into SPSS 26, and the data were analyzed using the K–S normality test, t-test, and chi-square test. Results: After 6 months of the intervention, the differences in mean scores of the test group were statistically significant (p < 0.05) in cognition, perceived benefits, self-efficacy, and behavioral outcomes, with a substantial increase in mean scores for all variables. Conclusions: The application of remote monitoring during COVID-19 in rural communities can influence the health perception, benefit perception, self-efficacy, and behavior of community residents, thus effectively preventing and controlling the spread of COVID-19 in rural communities. It reduces medical barriers for rural areas while meeting.

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