Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Objective:In order to meet the needs of building Internet of Things(IoT)of medical equipment for mobile deployment,rapid deployment,high-speed and stable data transmission,a wireless IoT acquisition terminal for medical equipment on the basis of Wi-Fi 6 was developed.Methods:Wi-Fi 6 technique was adopted to construct IoT of medical equipment,and the data acquisition terminal included Wi-Fi 6-based customer premises equipment(CPE)and intelligent wireless access point(AP).The CPE adopted a domestic main control chip and Wi-Fi chips,which included two 2.4G and 5G antennas,and was compatible with multiple interfaces such as RS232 and RJ45.The data of medical equipment were converted into wireless transmission through wired communication interfaces.The security access and data traceability of medical equipment were supported through secure secondary authentication with security control enhanced by"white list plus certificate".The intelligent wireless AP was compatible with various RF devices such as Wi-Fi,bluetooth,radio frequency identification,etc.(included 2.4G and 5G antennas).CPE and AP jointly apply dual-transmitter selection technique to ensure stable data transmission.Results:The key performance of wireless IoT acquisition terminals has been tested,and the results indicated that the integrity of acquisition data of intelligent acquisition terminal was consistent with that of output data,with a maximum latency of 9 ms and an average latency of 2 ms.The tested results can meet the expected requirements.Conclusion:The wireless IoT data of medical equipment that based on the acquisition terminal can stably and quickly collect data of equipment to IoT platform,providing paradigm for the construction of wireless IoT of medical equipment.

Objective:In order to meet the needs of building Internet of Things(IoT)of medical equipment for mobile deployment,rapid deployment,high-speed and stable data transmission,a wireless IoT acquisition terminal for medical equipment on the basis of Wi-Fi 6 was developed.Methods:Wi-Fi 6 technique was adopted to construct IoT of medical equipment,and the data acquisition terminal included Wi-Fi 6-based customer premises equipment(CPE)and intelligent wireless access point(AP).The CPE adopted a domestic main control chip and Wi-Fi chips,which included two 2.4G and 5G antennas,and was compatible with multiple interfaces such as RS232 and RJ45.The data of medical equipment were converted into wireless transmission through wired communication interfaces.The security access and data traceability of medical equipment were supported through secure secondary authentication with security control enhanced by"white list plus certificate".The intelligent wireless AP was compatible with various RF devices such as Wi-Fi,bluetooth,radio frequency identification,etc.(included 2.4G and 5G antennas).CPE and AP jointly apply dual-transmitter selection technique to ensure stable data transmission.Results:The key performance of wireless IoT acquisition terminals has been tested,and the results indicated that the integrity of acquisition data of intelligent acquisition terminal was consistent with that of output data,with a maximum latency of 9 ms and an average latency of 2 ms.The tested results can meet the expected requirements.Conclusion:The wireless IoT data of medical equipment that based on the acquisition terminal can stably and quickly collect data of equipment to IoT platform,providing paradigm for the construction of wireless IoT of medical equipment.

Objective:To investigate the mechanism of Yunshi Ganmao Heji against respiratory syncytial virus (RSV) infection based on network pharmacology and in vivo experiments. Methods:Network pharmacological prediction: Several databases including TCMSP and GeneCards were used to predict the active ingredients and targets of Yunshi Ganmao Heji in the intervention of RSV infection. Cytoscape 3.2.1 software was used to construct the traditional Chinese medicine component-disease target network diagram. The interactions between proteins were analyzed by STRING database. GO functional enrichment analysis and KEGG pathway enrichment analysis were performed using Metascape database. Molecular docking technology was used to verify the results of network pharmacology. Experimental verification of Yunshi Ganmao Heji for the intervention of RSV infection: A mouse model of RSV infection was established through intranasal infection. After the administration of Yunshi Ganmao Heji, blood routine test results, lung indexes and pathological changes in lung tissue were analyzed. Peripheral blood T cell subsets were detected by flow cytometry. The levels of TNF-α, IL-6 and IL-1β in serum were detected by ELISA. RT-PCR was used to detect the relative expression of TLR4, NF-κB and RSV-N gene at mRNA level in lung tissues.Results:A total of 41 active ingredients of Yunshi Ganmao Heji and 111 drug targets for RSV infection were obtained. Besides, 167 signaling pathways mainly including PI3K/AKT, MAPK and Toll-like receptor signaling pathways were obtained. Molecular docking results showed that the binding energies of luteotin, kaempferol and quercetin, three active ingredients of Yunshi Ganmao Heji, with RSV-G, RSV-F, PI3K, AKT1 and Bcl-2 were less than 0 kcal/mol. In vivo experiment results showed that compared with RSV group, the counts of white blood cells and lymphocytes increased and the lung index decreased in high-dose Yunshi Ganmao Heji group, with statistically significant difference ( P<0.05). HE staining showed pulmonary hyperplasia, thickened alveolar wall and inflammatory cell infiltration in interstitium in RSV group. Alveoli in ribavirin group as well as low-dose, medium-dose and high-dose Yunshi Ganmao Heji groups tended to be of uniform size, and the alveolar walls was roughly uniform in thickness. Compared with RSV group, the low-dose, medium-dose and high-dose Yunshi Ganmao Heji groups showed significantly increased numbers of CD3 +, CD4 + and CD8 + T lymphocytes, decreased CD4 + /CD8 + T cell ratio, lower levels of TNF-α, IL-6, IL-1β in serum, and reduced viral load and inhibited expression of TLR4 and NF-κB at mRNA level in lung tissues ( P<0.05). Conclusions:Yunshi Ganmao Heji can regulate RSV infection by targeting multiple targets and pathways with several active ingredients. Its main functions are to alleviate pathological injury in lung tissues and reduce inflammatory response, and the possible mechanism underlying the antiviral functions may be related to its inhibitory effect on the activation of TLR4/NF-κB pathway.

Porcine deltacoronavirus(PDCoV),a newly discovered virus in recent years,can cause severe diarrhea,vomiting,dehydration and even death in piglets.S protein is an important structur-al protein of PDCoV,which determines the host or tissue tropism of the virus,and is an important target for the development of PDCoV vaccines and detection methods.In order to prepare mono-clonal antibody(MAb)against the S protein of PDCoV,the recombinant plasmid of S protein was constructed based on the extracellular domain sequence of S protein of PDCoV epidemic strain in China and transformed into DH10Bac competent cells.The recombinant bacmid was identified by blue-white spot screening and PCR.BALB/c mice were immunized with S protein,and the spleen cells of immunized mice were fused with myeloma cells.The positive hybridoma cells that secreted stable antibodies were screened by indirect ELISA and subcloning.Five hybridoma cell superna-tants(MAb)specifically recognizing S protein(2E5,4D5,5D10,2F7 and 5A9)were identified by Western blot and immunofluorescence assay(IFA).Subsequently,the neutralization test showed that three of the monoclonal antibodies(2E5,4D5 and 5D10)could neutralize the virus to varying degrees.The S protein was successfully expressed and 5 monoclonal antibodies that can stably se-crete and specifically bind to PDCoV and S protein were prepared,which laid an important founda-tion for further research on the structure and function of S protein,the development of detection methods for PDCoV infection,and the prevention or treatment of PDCoV infection.

Objective:To investigate the characteristics of Parkinson's disease (PD)combined with orthostatic hypotension (OH)and the impact of the condition on cognitive function.Methods:A total of 210 PD patients admitted to Beijing Tiantan Hospital were consecutively enrolled.Demographic data and clinical characteristics were recorded.Patients were divided into the PD with OH (PD-OH)group and the PD without OH (PD-NOH)group based on blood pressure values measured in both the supine and upright positions.Cognitive function of PD patients was evaluated using the Mini-Mental State Examination (MMSE)and Montreal Cognitive Assessment (MoCA)scales.Results:Of 210 PD patients, 68 (32.4%)had OH.Patients in the PD-OH group had a higher mean age (69.7±8.9 years vs.62.1±11.3 years), longer disease duration [5.0 (3.0-8.0)years vs.4.0 (2.0-6.0)years], a higher incidence of diabetes (30.9% vs.17.4%), higher levels of fasting blood glucose (5.3±1.1 mmol/L vs.5.0±1.0 mmol/L)and glycated hemoglobin A1c (6.1±0.9% vs.5.7±0.7%), and more advanced Hoehn-Yahr staging [stage 2.5 (2.0-3.0) vs.stage 2.0 (1.5-2.5)]than the PD-NOH group ( P<0.05). The total scores of the MMSE and MoCA scales were lower in the PD-OH group than in the PD-NOH group (25.1±4.9 scores vs.26.8±4.0 scores, 19.4±5.4 scores vs.21.4±5.3 scores, P<0.05). A comparison of each cognitive domain of the MMSE scale between the two groups revealed that the scores of attention and calculation (3.7±1.7 scores vs.4.2±1.3 scores), delayed recall (2.1±1.0 scores vs.2.5±0.8 scores)and visuospatial ability (0.6±0.5 scores vs.0.7±0.5 scores)were lower in the PD-OH group than in the PD-NOH group ( P<0.05). A comparison of each cognitive domain of the MoCA scale between the two groups displayed that the scores of visuospatial and executive function (2.4±1.6 scores vs.2.9±1.7 scores)and delayed recall (1.3±1.4 scores vs.2.3±1.6 scores)were lower in the PD-OH group than in the PD-NOH group ( P<0.05). Logistic regression analysis showed that age ( OR=1.061, 95% CI: 1.022-1.102, P=0.002)and score of delayed recall of the MoCA scale ( OR=0.690, 95% CI: 0.498-0.955, P=0.025)were independent related factors for PD-OH. Conclusions:Compared with patients without OH, PD-OH patients are older and have a longer duration, increased disease severity, and a higher incidence of and more serious diabetes mellitus.Age is an independent related factor for PD-OH.Cognitive function is significantly impaired in PD-OH patients, and delayed recall is an independent related factor for PD-OH.

Objective:To cultivate human-derived prostate cancer (PCa) cells via conditional reprogramming cell (CRC) technology, and establish individualized cell bank for PCa research in vitro.Methods:We obtained three fresh PCa tissue samples from different patients between January 2019 and April 2019. Then each sample was divided into two parts. One was used for cancer nature confirmation by intraoperative biopsy. Another part was sent to the laboratory and digested into single primary cancer cells with 0.25% EDTA enzyme for CRC technology. The details were described as followed: 1. The primary PCa cells were co-cultured with 3T3-J2 cells irradiated by 30 Gy (feeder cells) in conditioned medium, and observed for the growth of cell clones, 2. The feeder cells were removed by 0.25% EDTA trypsin for 1 minute before primary PCa cells digested for passage. All primary PCa cells were validated by multiple experiments such as immunofluorescence, immunohistochemistry, immunoblotting and fluorescence in situ hybridization (FISH).Results:Total three cases of human-derived PCa cell lines were successfully established during 15days through CRC technology. All those primary PCa cells could be steadily and continuously passaged, which also expressed AR, CK5, CK18, P504s and PSA. FISH demonstrated that each cell line harbored≥1.6% TMPRSS2/ERG fusion and conformed to the features of PCa.Conclusion:CRC technology can be used for stable and continuous PCa cell culture in vitro.