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Attitudes and expectations of people towards their lives are essential to future health outcomes. Growing evidence has linked dispositional optimism to beneficial health outcomes, such as exceptional longevity, healthy aging and better sleep quality. We describe the association between dispositional optimism and chronic insomnia, considering potential mediators, in the Austrian Sleep Survey (N = 1,004), a population‐based cross‐sectional study conducted in 2017. Optimism was measured using the validated Life Orientation Test‐Revised, and four different definitions were used to assess chronic insomnia. Three definitions were based on the criteria of chronic insomnia according to the International Classification of Sleep Disorders (3rd edn). Age‐ and multivariable‐adjusted logistic regression models were used to calculate odds ratios (OR) and 95% confidence intervals (CIs). Among Austrians who were more optimistic, chronic insomnia risk was lower compared with those less optimistic (middle versus bottom tertile of optimism score: OR = 0.39, 95% CI, 0.22–0.70; and top versus bottom tertile: OR = 0.28, 95% CI, 0.14–0.54; p‐trend < .001). Results were similar for all four definitions of insomnia, and differed slightly between men and women. Happiness, depression and health status confounded the association, whereas lifestyle did not. Promoting dispositional optimism could represent a simple and accessible strategy to improve sleep quality and lower insomnia risk, with downstream beneficial health effects. Further research is needed to clarify the prevention potential of interventions targeting this mental trait.  相似文献   
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Binding of the spike protein of SARS-CoV-2 to the human angiotensin-converting enzyme 2 (ACE2) receptor triggers translocation of the virus into cells. Both the ACE2 receptor and the spike protein are heavily glycosylated, including at sites near their binding interface. We built fully glycosylated models of the ACE2 receptor bound to the receptor binding domain (RBD) of the SARS-CoV-2 spike protein. Using atomistic molecular dynamics (MD) simulations, we found that the glycosylation of the human ACE2 receptor contributes substantially to the binding of the virus. Interestingly, the glycans at two glycosylation sites, N90 and N322, have opposite effects on spike protein binding. The glycan at the N90 site partly covers the binding interface of the spike RBD. Therefore, this glycan can interfere with the binding of the spike protein and protect against docking of the virus to the cell. By contrast, the glycan at the N322 site interacts tightly with the RBD of the ACE2-bound spike protein and strengthens the complex. Remarkably, the N322 glycan binds to a conserved region of the spike protein identified previously as a cryptic epitope for a neutralizing antibody. By mapping the glycan binding sites, our MD simulations aid in the targeted development of neutralizing antibodies and SARS-CoV-2 fusion inhibitors.

Angiotensin-converting enzyme 2 (ACE2) is an enzyme that catalyzes the hydrolysis of angiotensin II into angiotensin (17) to counterbalance the ACE receptor in blood pressure control (1). A single transmembrane helix anchors ACE2 into the plasma membrane of cells in the lungs, arteries, heart, kidney, and intestines (2). The vasodilatory effect of ACE2 has made it a promising target for drugs treating cardiovascular diseases (3).ACE2 also serves as the entry point for several coronaviruses into cells, including SARS-CoV and SARS-CoV-2 (46). The binding of the spike protein of SARS-CoV and SARS-CoV-2 to the peptidase domain (PD) of ACE2 triggers endocytosis and translocation of both the virus and the ACE2 receptor into endosomes within cells (4). The human transmembrane serine protease 2, TMPRSS2, primes spike for efficient cell entry by cleaving its backbone at the boundary between the S1 and S2 subunits or within the S2 subunit (4). The structure of the ACE2 receptor in complex with the SARS-CoV-2 spike receptor binding domain (RBD) (79) reveals the major RBD interaction regions as helix H1 (Q24–Q42), a loop in a beta sheet (K353–R357), and the end of helix H2 (L79–Y83). With a 4-Å heavy-atom distance cutoff, 20 residues of ACE2 interact with 17 residues of the RBD, forming a buried interface of ∼1,700 Å2 (7).The structure of full-length ACE2 has been resolved in complex with B0AT1 (also known as SLC6A19) (9). B0AT1 is a sodium-dependent neutral amino acid transporter (10). ACE2 functions as chaperone for B0AT1 and is responsible for its trafficking to the plasma membrane of kidney and intestine epithelial cells (11). Although it was speculated that B0AT1 prevents ACE2 cleavage by TMPRSS2 and thus could suppress SARS-CoV-2 infection (9, 12), other studies showed that SARS-CoV-2 can infect human small intestinal enterocytes where ACE2 is expected to be in complex with B0AT1 (13).Both the ACE2 receptor and the spike protein are heavily glycosylated. Several glycosylation sites are near the binding interface (7, 9, 14, 15). Whereas the focus has largely been on amino acid interactions in the ACE2–spike binding interface (16, 17), the role of glycosylation in binding has been recognized (7, 1820). The extracellular domain of the ACE2 receptor has seven N-glycosylation sites (N53, N90, N103, N322, N432, N546, and N690) and several O-glycosylation sites (e.g., T730) (9, 14). Among ACE2 glycosylation sites, the only well-characterized position regarding the effect on the spike binding and viral infectivity is N90. It is known from earlier SARS-CoV studies that glycosylation at the N90 position might interfere with virus binding and infectivity (21). Also, recent genetic and biochemical studies showed that mutations of N90, which remove the glycosylation site directly, or of T92, which remove the glycosylation site indirectly by eliminating the glycosylation motif (NXT), increase the susceptibility to SARS-CoV-2 infection (22, 23).We use extensive molecular dynamics (MD) simulations to gain a detailed molecular-level understanding of how ACE2 glycosylation impacts the host–virus interactions. Glycosylation sites N90 and N322 of human ACE2 emerge as major determinants of its binding to SARS-CoV-2 spike. Remarkably, glycans at these sites have opposite effects, interfering with spike binding in one case, and strengthening binding in the other. Our findings provide direct guidance for the design of targeted antibodies and therapeutic inhibitors of viral entry.  相似文献   
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Immuno-oncology therapies engage the immune system to treat cancer. BiTE (bispecific T-cell engager) technology is a targeted immuno-oncology platform that connects patients' own T cells to malignant cells. The modular nature of BiTE technology facilitates the generation of molecules against tumor-specific antigens, allowing off-the-shelf immuno-oncotherapy. Blinatumomab was the first approved canonical BiTE molecule and targets CD19 surface antigens on B cells, making blinatumomab largely independent of genetic alterations or intracellular escape mechanisms. Additional BiTE molecules in development target other hematologic malignancies (eg, multiple myeloma, acute myeloid leukemia, and B-cell non-Hodgkin lymphoma) and solid tumors (eg, prostate cancer, glioblastoma, gastric cancer, and small-cell lung cancer). BiTE molecules with an extended half-life relative to the canonical BiTE molecules are also being developed. Advances in immuno-oncology made with BiTE technology could substantially improve the treatment of hematologic and solid tumors and offer enhanced activity in combination with other treatments.  相似文献   
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Peacekeeping missions involve experiences that may impact the mental health of participating soldiers. However, research on the long-term mental health consequences of peacekeeping is sparse. The present study aimed to find the prevalence of mental health problems (MHPs), possible MHP predictors, and associations between predictors and MHPs in Norwegian peacekeepers 18–38 years after deployment to a United Nations peacekeeping mission. We used data from a cross-sectional, postdeployment survey of Norwegian peacekeepers who served in Lebanon between 1978 and 1998 (N = 10,605). Participants were assessed for posttraumatic stress disorder (PTSD); anxiety; depression; insomnia; alcohol misuse; drug misuse; and exposure to pre-, peri-, and postdeployment stressors. Logistic regressions were executed to explore key variables associated with MHPs. Total MHP prevalence was 15.1%, 95% CI [14.4, 15.8]. The estimates for specific disorders were 0.1% for drug misuse, 3.4% for alcohol misuse, 4.0% for depression, 6.2% for PTSD, 6.4% for anxiety, and 9.3% for insomnia. Postdeployment stressors, OR = 1.91, 95% CI [1.79, 2.04]; employment status, OR = 1.41, 95% CI [1.33, 1.48]; and traumatic exposure during deployment, OR = 1.11, 95% CI [1.09, 1.12], were positively related to PTSD, χ2(17, N = 8,568) = 1,791.299, p < .001. Similar patterns were found for the other MHPs. Considering that most participants (84.9%) reported low symptom levels, our findings challenge the widespread public perception that most peacekeepers have MHPs. Moreover, our results indicate that future peacekeepers should be prepared for challenges they may face not only during deployment but also in the years following their homecoming.  相似文献   
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