Visualization of the pH Response through Autofluorescent Poly(styrene-<i>alt</i>-<i>N</i>‑maleimide) Polyelectrolyte Brushes

Polyelectrolyte brushes can undergo reversible conformational transitions in response to changes in environmental pH and ionic strength. Therefore, they offer great potential for the design of “smart” surfaces and surface-based sensing devices. Herein, we report weak acidic polyelectrolyte brushes with pH-dependent autofluorescence based on alternating copolymers of styrene and tailor-made N-maleimides, which exhibit “clusteroluminescence” due to the through-space conjugation of π-chromophoric subfluorophores. Swelling behavior of the polyelectrolyte brushes was evaluated as a function of pH via in-solution atomic force microscopy (AFM) analyses. The correlation between the pH-induced conformational transitions and autofluorescence was confirmed with confocal laser scanning microscopy (CLSM) and two-photon laser scanning microscopy. Poly(styrene-alt-N-maleimide)-based well-defined, stable polyelectrolyte brushes, generating optical signals from conformational changes without conventional fluorophores, may enable the design of sensors and optoelectronic devices

Flow chart of literature screening and the selection process.

Flow chart of literature screening and the selection process.</p

Additional file 1 of CRISPR-TE: a web-based tool to generate single guide RNAs targeting transposable elements

Additional file 1: Figure S1. sgRNA Combinations Targeting TE Subfamilies in Human and Mouse. All TE subfamilies are ranked by the targeted coverage using the best sgRNA combinations for human (left panel) and mouse (right panel)

Table_2_Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis.docx

Background and PurposeOverweight/obesity is a modified risk factor for stroke. This systematic review and meta-analysis aimed to assess the impact of different obesity phenotypes on stroke risk in adults.MethodsThe PubMed, Embase, and Cochrane Library databases were searched from their inception to 7 March 2021 to identify the prospective cohort studies investigating stroke risk among different metabolic overweight/obesity phenotypes. The methodological quality of the included studies was evaluated using the Newcastle–Ottawa Scale. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random-effects model.ResultsA total of eleven prospective cohorts (n = 5,609,945 participants) were included in the systematic review, nine of which were included in the meta-analysis. All metabolically unhealthy phenotypes had a higher risk of stroke than the metabolically healthy normal-weight phenotypes, including metabolically unhealthy normal weight (HR = 1.63, 95% CI: 1.41–1.89, I2 = 89.74%, n = 7 cohort studies, 1,042,542 participants), metabolically unhealthy overweight (HR = 1.94, 95% CI: 1.58–2.40, I2 = 91.17%, n = 4 cohort studies, 676,166 participants), and metabolically unhealthy obese (HR = 1.99, 95% CI: 1.66–2.40, I2 = 93.49%, n = 6 cohort studies, 1,035,420 participants) phenotypes. However, no risk of stroke was observed in the populations with metabolically healthy overweight (MHOW) (HR = 1.07, 95% CI: 1.00–1.14, I2 = 69.50%, n = 5 studies, 4,171,943 participants) and metabolically healthy obese (MHO) (HR = 1.07, 95% CI: 0.99–1.16, I2 = 54.82%, n = 8 studies, 5,333,485 participants) phenotypes. The subgroup analyses for the MHO studies suggested that the risk of stroke increased only when the MHO participants were mainly females, from North America, and when the World Health Organization standard was applied to define obesity. In the subgroup analysis of the risk of stroke in MHOW, a longer follow-up duration was also associated with a higher risk of stroke.ConclusionThe risk of stroke increase for all metabolically unhealthy phenotypes irrespective of the body mass index (BMI). The associated risk of stroke with metabolic health but high BMI shows substantial heterogeneity, which requires future research considering the impact of sex and transition of the metabolic status on the risk of stroke.Systematic Review RegistrationThe study protocol was prospectively registered in PROSPERO (No. CRD42021251021).</p

Characteristics of the included studies.

Characteristics of the included studies.</p

Forest plots of summary crude risk ratios of the association between vitamin D supplementation during pregnancy on bone development assessment of offspring.

Notes: A, WB-BMC in neonates; B, WB-BMD in neonates; C, WB-BA in neonates; D, FL in the offspring during the fetal period (third trimester); E,HL in the offspring during the fetal period (third trimester).</p

Forest plots of summary crude risk ratios of the association between vitamin D supplementation during pregnancy in the offspring cord blood 25(OH)D concentration.

Forest plots of summary crude risk ratios of the association between vitamin D supplementation during pregnancy in the offspring cord blood 25(OH)D concentration.</p

Risk of bias assessment of included studies.

Notes: Green + dot, low risk of bias; yellow? dot, unclear risk of bias; red—dot, high risk of bias.</p

Search strategy for electronic databases.

(DOCX)</p

Table_1_Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis.docx

Background and PurposeOverweight/obesity is a modified risk factor for stroke. This systematic review and meta-analysis aimed to assess the impact of different obesity phenotypes on stroke risk in adults.MethodsThe PubMed, Embase, and Cochrane Library databases were searched from their inception to 7 March 2021 to identify the prospective cohort studies investigating stroke risk among different metabolic overweight/obesity phenotypes. The methodological quality of the included studies was evaluated using the Newcastle–Ottawa Scale. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random-effects model.ResultsA total of eleven prospective cohorts (n = 5,609,945 participants) were included in the systematic review, nine of which were included in the meta-analysis. All metabolically unhealthy phenotypes had a higher risk of stroke than the metabolically healthy normal-weight phenotypes, including metabolically unhealthy normal weight (HR = 1.63, 95% CI: 1.41–1.89, I2 = 89.74%, n = 7 cohort studies, 1,042,542 participants), metabolically unhealthy overweight (HR = 1.94, 95% CI: 1.58–2.40, I2 = 91.17%, n = 4 cohort studies, 676,166 participants), and metabolically unhealthy obese (HR = 1.99, 95% CI: 1.66–2.40, I2 = 93.49%, n = 6 cohort studies, 1,035,420 participants) phenotypes. However, no risk of stroke was observed in the populations with metabolically healthy overweight (MHOW) (HR = 1.07, 95% CI: 1.00–1.14, I2 = 69.50%, n = 5 studies, 4,171,943 participants) and metabolically healthy obese (MHO) (HR = 1.07, 95% CI: 0.99–1.16, I2 = 54.82%, n = 8 studies, 5,333,485 participants) phenotypes. The subgroup analyses for the MHO studies suggested that the risk of stroke increased only when the MHO participants were mainly females, from North America, and when the World Health Organization standard was applied to define obesity. In the subgroup analysis of the risk of stroke in MHOW, a longer follow-up duration was also associated with a higher risk of stroke.ConclusionThe risk of stroke increase for all metabolically unhealthy phenotypes irrespective of the body mass index (BMI). The associated risk of stroke with metabolic health but high BMI shows substantial heterogeneity, which requires future research considering the impact of sex and transition of the metabolic status on the risk of stroke.Systematic Review RegistrationThe study protocol was prospectively registered in PROSPERO (No. CRD42021251021).</p