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BACKGROUND: "Financial Toxicity" (FT) is the financial burden imposed on patients due to disease and its treatment. Approximately 50% of gynecologic oncology patients experience FT. This study describes the implementation and outcomes of a novel financial navigation program (FNP) in gynecologic oncology. METHODS: Patients presenting for initial consultation with a gynecologic oncologist from July 2022 to September 2023 were included. A FNP was launched inclusive of hiring a financial navigator (FN) in July 2022, and implementing FT screening in October 2022. We prospectively captured patient referrals to the FN, collecting clinical, demographic, financial and social needs information, along with FN interventions and institutional support service referrals. Referrals to the FN and support services were quantified before and after screening implementation. RESULTS: There were 1029 patients with 21.6% seen before and 78.4% after screening initiation. Median age was 58 (IQR 46-68). The majority were non-Hispanic white (60%) with private insurance (61%). A total of 10.5% patients were referred to the FN. Transportation (32%), financial assistance (20.5%) and emotional support (15.4%) were the most common needs identified. A higher proportion of patients referred to the FN identified as Black, had government-funded insurance or diagnoses of uterine or cervical cancers (p < 0.05). Post-screening referrals to FN increased (5% vs. 12.9%, p < 0.001), while referrals to other support services decreased (9.5% vs. 2.9%, p < 0.001). CONCLUSIONS: Implementation of the FNP was feasible, though presence of both a FN and FT screening maximized its effectiveness. Further investigation is needed to understand screening barriers and evaluate longer-term impact.
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BACKGROUND AND AIMS: Extracorporeal shock wave lithotripsy for pancreatic stones (P-ESWL) and endoscopic retrograde cholangiopancreatography (ERCP) are the preferred therapeutic approaches for painful chronic pancreatitis (CP) with pancreatic stones. This study aimed to report the short- and long-term outcomes following P-ESWL and ERCP in a large cohort with CP. METHODS: Patients with painful CP and pancreatic stones >5 mm in size, who underwent P-ESWL and subsequent ERCP between March 2011 and June 2018, were included in this retrospective-prospective mixed observational study. The total stone clearance rates were recorded. All patients were followed up until the end of March 2024, with the visual analogue scale (VAS) for pain, pain type, quality-of-life scores and other relevant information recorded. RESULTS: A total of 2071 patients underwent P-ESWL, and 93.1% of them subsequently underwent ERCP during the study period. Patients were followed up for an average of 11.8 years from the onset of CP and 6.7 years from the first P-ESWL procedure. Complete stone clearance was achieved in 73.7% of the patients. At the end of the follow-up period, 70.1% of the patients achieved complete pain remission. Significant pain type conversion and lower VAS scores were observed in the patients after treatment. Quality-of-life scores and body mass indices increased after P-ESWL and ERCP. CONCLUSIONS: P-ESWL and ERCP are effective and minimally invasive treatments for pancreatic stones in patients with painful CP. Most patients achieved complete pain relief, and pain-type conversion was common after treatment. (ClinicalTrials.gov: NCT05916547).
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The aqueous zinc ion battery emerges as the promising candidate applied in large-scale energy storage system. However, Zn anode suffers from the issues including Zn dendrite, Hydrogen evolution reaction and corrosion. These challenges are primarily derived from the instability of anode/electrolyte interface, which is associated with the interfacial charge density distribution. In this context, the recent advancements concentrating on the strategies and mechanism to regulate charge density at the Zn anode/electrolyte interface are summarized. Different characterization techniques for charge density distribution have been analysed, which can be applied to assess the interfacial zinc ion transport. Additionally, the charge density regulations at the Zn anode/electrolyte interface are discussed, elucidating their roles in modulating electrostatic interactions, electric field, structure of solvated zinc ion and electric double layer, respectively. Finally, the perspectives and challenges on the further research are provided to establish the stable anode/electrolyte interface by focusing on charge density modifications, which is expected to facilitate the development of aqueous zinc ion battery.
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PURPOSE: The rapid expansion of robotic surgical equipment necessitates a review of the needs and challenges faced by hospitals introducing robots for the first time to compete with experienced institutions. The aim of this study was to analyze the impact of robotic surgery on our hospital compared to open and laparoscopic surgery, examine internal transformations, and assess regional, domestic, and international implications. METHODS: A retrospective review was conducted of electronic medical records (EMRs) from 2019 to 2022 at Inha University Hospital, including patients who underwent common robotic procedures and equivalent open and laparoscopic operations. The study investigated clinical and operational performance changes in the hospital after the introduction of robotic technology. It also evaluated the operational effectiveness of robot implementation in local, national, and international contexts. To facilitate comparison with other hospitals, the data were transmitted to Intuitive Surgical, Inc. for analysis. The study was conducted in compliance with domestic personal information regulations and received approval from our Institutional Review Board. RESULTS: We analyzed EMR data from 3,147 patients who underwent surgical treatment. Over a period of 3.5 years, the adoption of robotic technology in a hospital setting significantly enhanced the technical skills of all professors involved. The introduction of robotic systems led to increased patient utilization of conventional surgical techniques, as well as a rise in the number of patients choosing robotic surgery. This collective trend contributed to an overall increase in patient numbers. This favorable evaluation of the operational effectiveness of our hospital's robot implementation in the context of local, national, and global factors is expected to positively influence policy changes. CONCLUSION: Stakeholders should embrace data science and evidence-based techniques to generate valuable insights from objective data, assess the health of robot-assisted surgery programs, and identify opportunities for improvement and excellence.
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DNA methylation is an epigenetic mechanism that regulates gene expression, and for mammals typically occurs on cytosines within CpG dinucleotides. A significant challenge for methylation detection methods is accurately measuring methylation levels within GC-rich regions such as gene promoters, as inaccuracies compromise downstream biological interpretation of the data. To address this challenge, we compared methylation levels assayed using four different Methods Enzymatic Methyl-seq (EM-seq), whole genome bisulphite sequencing (WGBS), Infinium arrays (Illumina MethylationEPIC, "EPIC"), and Oxford Nanopore Technologies nanopore sequencing (ONT) applied to human DNA. Overall, all methods produced comparable and consistent methylation readouts across the human genome. The flexibility offered by current gold standard WGBS in interrogating genome-wide cytosines is surpassed technically by both EM-seq and ONT, as their coverages and methylation readouts are less prone to GC bias. These advantages are tempered by increased laboratory time (EM-seq) and higher complexity (ONT). We further assess the strengths and weaknesses of each method, and provide recommendations in choosing the most appropriate methylation method for specific scientific questions or translational needs.
Subject(s)
DNA Methylation , Humans , Sequence Analysis, DNA/methods , GC Rich Sequence , CpG Islands , Genome, Human , High-Throughput Nucleotide Sequencing/methods , Nanopore Sequencing/methods , Promoter Regions, GeneticABSTRACT
BACKGROUND: Cervicogenic headache is characterized by chronic posterior neck pain radiating to one side of the head, resulting from cervical spine bone or soft tissue diseases. Cervical ganglioneuroma (GN), a rare benign neuroblastic tumor, especially in the cervical spine, may cause cervicogenic headache-like symptoms. OBJECTIVE: We report a case of GN which was surgically removed successfully to relieve the symptom. CASE REPORT: A 68-year-old male presented with right posterior neck pain with referred pain to the ipsilateral occipital area in May 2020. Despite administration of medications, physical therapy, and spine interventions, the symptoms intermittently recurred over one year. In July 2021, the patient complained of painful limitation of neck motion, especially on right-sided bending; no motor or sensory deficits, except for subjective numbness of the finger tips, were detected. Plain radiography of the cervical spine showed moderate degenerative changes in the mid-cervical spine. Cervical MRI revealed a cystic mass (1.5 cm × 0.5 cm × 1 cm-in size) around the right C2 dorsal root ganglion adjacent to the C1-C2 facet joint. His symptoms significantly improved after complete tumor excision. CONCLUSION: GN of the upper cervical spine should be considered when persistent cervicogenic headache is refractory to conservative management. In such a case, advanced imaging studies such as MRI should be performed for early diagnosis and appropriate treatment.
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Despite the significant potential of protein biosensors, their construction remains a trial-and-error process. The most obvious approach for addressing this is to utilize modular biosensor architectures where specificity-conferring modalities can be readily generated to recognize new targets. Toward this goal, we established a workflow that uses mRNA display-based selection of hyper-stable monobody domains for the target of choice or ribosome display to select equally stable DARPins. These binders were integrated into a two-component allosteric biosensor architecture based on a calmodulin-reporter chimera. This workflow was tested by developing biosensors for liver toxicity markers such as cytosolic aspartate aminotransferase, mitochondrial aspartate aminotransferase, and alanine aminotransferase 1. We demonstrate that our pipeline consistently produced >103 unique binders for each target within a week. Our analysis revealed that the affinity of the binders for their targets was not a direct predictor of the binder's performance in a biosensor context. The interactions between the binding domains and the reporter module affect the biosensor activity and the dynamic range. We conclude that following binding domain selection, the multiplexed biosensor assembly and prototyping appear to be the most promising approach for identifying biosensors with the desired properties.
Subject(s)
Biosensing Techniques , RNA, Messenger , Biosensing Techniques/methods , RNA, Messenger/genetics , RNA, Messenger/analysis , Humans , Calmodulin/chemistry , Calmodulin/genetics , Calmodulin/metabolismABSTRACT
The effects of COVID-19 vaccination on short-term and long-term cerebrovascular risks among COVID-19 survivors remained unknown. We conducted a national multi-center retrospective cohort study with 151 597 vaccinated and 151 597 unvaccinated COVID-19 patients using the TriNetX database, from January 1, 2020 to December 31, 2023. Patients baseline characteristics were balanced with propensity score matching (PSM). The outcomes were incident cerebrovascular diseases occurred between 1st and 30th days (short-term) after COVID-19 diagnosis. Nine subgroup analyses were conducted to explore potential effect modifications. We performed six sensitivity analyses, including evaluation of outcomes between 1st to 180th days, accounting for competing risk, and incorporating different variant timeline to test the robustness of our results. Kaplan-Meier curves and Log-Rank tests were performed to evaluate survival difference. Cox proportional hazards regressions were adopted to estimate the PSM-adjusted hazard ratios (HR). The overall short-term cerebrovascular risks were lower in the vaccinated group compared to the unvaccinated group (HR: 0.66, 95% CI: 0.56-0.77), specifically cerebral infarction (HR: 0.62, 95% CI: 0.48-0.79), occlusion and stenosis of precerebral arteries (HR: 0.74, 95% CI: 0.53-0.98), other cerebrovascular diseases (HR: 0.57, 95% CI: 0.42-0.77), and sequelae of cerebrovascular disease (HR: 0.39, 95% CI:0.23-0.68). Similarly, the overall cerebrovascular risks were lower in those vaccinated among most subgroups. The long-term outcomes, though slightly attenuated, were consistent (HR: 0.80, 95% CI: 0.73-0.87). Full 2-dose vaccination was associated with a further reduced risk of cerebrovascular diseases (HR: 0.63, 95% CI: 0.50-0.80) compared to unvaccinated patients. Unvaccinated COVID-19 survivors have significantly higher cerebrovascular risks than their vaccinated counterparts. Thus, clinicians are recommended to monitor this population closely for stroke events during postinfection follow-up.
Subject(s)
COVID-19 Vaccines , COVID-19 , Cerebrovascular Disorders , Vaccination , Humans , Cerebrovascular Disorders/epidemiology , Cerebrovascular Disorders/etiology , COVID-19/prevention & control , COVID-19/epidemiology , Female , Male , Retrospective Studies , Middle Aged , COVID-19 Vaccines/administration & dosage , COVID-19 Vaccines/adverse effects , Aged , Vaccination/statistics & numerical data , Survivors/statistics & numerical data , Adult , SARS-CoV-2/immunology , Risk Factors , Proportional Hazards ModelsABSTRACT
We characterized the therapeutic biological modes of action of several terpenes in Poria cocos F.A Wolf (PC) and proposed a broad therapeutic mode of action for PC. Molecular docking and drug-induced transcriptome analysis were performed to confirm the pharmacological mechanism of PC terpene, and a new analysis method, namely diffusion network analysis, was proposed to verify the mechanism of action against Alzheimer's disease. We confirmed that the compound that exists only in PC has a unique mechanism through statistical-based docking analysis. Also, docking and transcriptomic analysis results could reflect results in clinical practice when used complementarily. The detailed pharmacological mechanism of PC was confirmed by constructing and analyzing the Alzheimer's disease diffusion network, and the antioxidant activity based on microglial cells was verified. In this study, we used two bioinformatics approaches to reveal PC's broad mode of action while also using diffusion networks to identify its detailed pharmacological mechanisms of action. The results of this study provide evidence that future pharmacological mechanism analysis should simultaneously consider complementary docking and transcriptomics and suggest diffusion network analysis, a new method to derive pharmacological mechanisms based on natural complex compounds.
Subject(s)
Molecular Docking Simulation , Terpenes , Transcriptome , Terpenes/pharmacology , Terpenes/chemistry , Transcriptome/drug effects , Humans , Wolfiporia/chemistry , Gene Expression Profiling/methods , Alzheimer Disease/drug therapy , Alzheimer Disease/metabolism , Alzheimer Disease/genetics , Microglia/drug effects , Microglia/metabolism , Antioxidants/pharmacology , Antioxidants/chemistry , Computational Biology/methods , AnimalsABSTRACT
Myocarditis is an inflammation of the heart muscle, most commonly caused by viral infections, with other contributing factors including medications or systemic inflammatory conditions. Coronavirus disease 2019 (COVID-19) is a disease caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2 virus). In this report, we present a case of fulminant myocarditis in a patient with COVID-19 infection. Fulminant myocarditis is an aggressively progressive and severe variant that can result in substantial cardiac impairment. We present a case of fulminant myocarditis with a unique time course, progression, and potential challenges faced in diagnosis and management. Healthcare providers need to remain vigilant and anticipate the potential rapid progression of this disease.
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Background: The use of electric scooters (e-scooters) continues to increase as a simple, inexpensive means of transport, resulting in a sharp increase in the incidence of scooter-related accidents. No study to date has closely examined the injury extent to the lower leg, joints, and extremities from e-scooter-related accidents. Here, we investigated the epidemiology and injury patterns of such accidents, focusing on injuries to the ankle and foot. Methods: Based on data from a single tertiary hospital's database, the demographics of 563 patients with scooter-associated injuries were analyzed retrospectively. Among the patients, 229 patients who were injured by e-scooter riding were further investigated. Based on the data, the general demographics of whole scooter-associated injuries and the injury characteristics and fracture cases of the lower leg, ankle, and foot were analyzed. Results: During the 4-year study period, the number of patients injured by e-scooters increased every year. Lower extremities were the most common injury site (67.2%) among riders, whereas injuries to the head and neck (64.3%) were more common in riders of non-electric scooters. Among the lower leg, ankle, and foot injuries of riders (52 cases), the ankle joint (53.8%) was the most commonly injured site, followed by the foot (40.4%) and lower leg (21.2%). The fracture group scored significantly higher on the Abbreviated Injury Scale than the non-fracture group (p < 0.001). Among the fracture group (20 cases), ankle fractures (9 cases) were most common, including pronation external rotation type 4 injuries (4 cases) and pilon fractures (2 cases). Five patients (25%) had open fractures, and 12 patients (60%) underwent surgical treatment. Conclusions: The ankle and foot are the most common injury sites in e-scooter-related accidents. Given the high frequency and severity of e-scooter-related ankle and foot injuries, we suggest that more attention be paid to preventing these types of injuries with greater public awareness of the dangers of using e-scooters.
Subject(s)
Ankle Fractures , Foot Injuries , Humans , Ankle , Ankle Joint , Retrospective Studies , Accidents, Traffic , Foot Injuries/epidemiology , Foot Injuries/etiology , AccidentsABSTRACT
OBJECTIVES: To summarize the clinical characteristics, treatment outcomes, and prognostic factors of children with non-metastatic Ewing's sarcoma (ES). METHODS: A retrospective analysis was conducted on the clinical data of 41 children with non-metastatic ES diagnosed and treated at the Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine from January 2010 to December 2018. All patients underwent chemotherapy based on the RMS-2009 protocol of the center, and local treatment such as surgery and/or radiotherapy was performed according to risk grouping. The Kaplan-Meier method was used to calculate the overall survival (OS) and event-free survival (EFS) rates. Univariate prognostic analysis was performed using the log-rank test, and multivariate analysis was conducted with Cox regression. RESULTS: Of the 41 children, 21 were male and 20 were female. The median age at diagnosis was 7.7 years (range: 1.2-14.6 years). The median follow-up time for patients with event-free survival was 68.1 months (range: 8.1-151.7 months). As of the last follow-up, 33 patients were in complete remission, and the overall 5-year EFS and OS rates were (78±6)% and (82±6)%, respectively. Univariate analysis by the log-rank test showed that a tumor diameter ≥8 cm, time from diagnosis to start of local treatment ≥16 weeks, and incomplete surgical resection were associated with poor prognosis (P<0.05). Multivariate Cox regression analysis indicated that incomplete surgical resection (HR=8.381, 95%CI: 1.681-41.801, P=0.010) was an independent risk factor for poor prognosis in children with ES. Secondary tumors occurred in 2 cases. CONCLUSIONS: A comprehensive treatment strategy incorporating chemotherapy, surgery, and radiotherapy can improve the prognosis of children with ES. Poor prognosis is associated with an initial tumor diameter ≥8 cm, while complete surgical resection and early initiation of local treatment can improve outcomes.
Subject(s)
Sarcoma, Ewing , Humans , Sarcoma, Ewing/therapy , Sarcoma, Ewing/mortality , Sarcoma, Ewing/pathology , Female , Male , Child , Adolescent , Child, Preschool , Infant , Retrospective Studies , Bone Neoplasms/therapy , Bone Neoplasms/mortality , Bone Neoplasms/pathology , Prognosis , Treatment OutcomeABSTRACT
Previous research has explored theories regarding the vertical transmission of human papillomavirus (HPV) infection and its association with adverse pregnancy and perinatal outcomes. However, the impact of maternal HPV infection on congenital anomalies (CAs) in offspring remains relatively understudied. We conducted a population-based cohort study linking the Taiwan Birth Registry, Taiwan Death Registry, and National Health Insurance Research Database, in which newborns born in Taiwan between 2009 and 2015 were included. We established a maternal HPV infection cohort comprising 37 807 newborns and matched them with a comparison group of 151 228 newborns at a 1:4 ratio based on index year, age, and sex. The study examined a composite outcome and subgroups of different types of congenital malformations. Differences in cumulative incidence of CAs were assessed using Kaplan-Meier curves and log-rank tests. Adjusted hazard ratios (aHRs) were estimated using Cox proportional hazard regressions. No significant association was found between HPV infection and the broad spectrum of CAs (aHR: 1.04, 95% confidence interval [CI]: 0.98-1.10; log-rank test p = 0.14). However, we observed a 19% increased risk of musculoskeletal CAs in the maternal HPV infection group (aHR: 1.19; 95% CI: 1.05-1.34) compared to those without maternal HPV exposure. Other factors, including the type of HPV (aHR: 0.65; 95% CI: 0.16-2.63), the timing of exposure (during or before pregnancy), and maternal age (aHR for <30 years: 1.02, 95% CI: 0.94-1.1; aHR for 30-39 years: 1.05, 95% CI: 0.99-1.11; aHR for ≥40 years: 0.88, 95% CI: 0.67-1.17), did not significantly affect the risk for any CA. In conclusion, gestation detection of HPV infection was associated with musculoskeletal CAs but not other major CAs. Prospective studies are warranted to elucidate the necessity of prenatal screening in populations at risk.
Subject(s)
Papillomavirus Infections , Pregnancy , Female , Humans , Infant, Newborn , Adult , Papillomavirus Infections/complications , Papillomavirus Infections/epidemiology , Cohort Studies , Prospective Studies , Research , Taiwan/epidemiology , Risk FactorsABSTRACT
ETHNOPHARMACOLOGICAL RELEVANCE: Chuanxiong, a plant of the Umbelliferae family, is a genuine medicinal herb from Sichuan Province. Phthalides are one of its main active components and exhibit good protective effect against cerebrovascular diseases. However, the mechanism by which phthalides exert neuroprotective effects is still largely unclear. AIM OF THE STUDY: In this study, we extracted a phthalein component (named as QBT) from Ligusticum Chuanxiong, and investigated its neuroprotective effects against vascular dementia (VaD) rats and the underlying mechanism, focusing on the chemokine 12 (CXCL12)/chemokine (C-X-C motif) receptor 4 (CXCR4) axis. METHODS: A rat model of VaD was established, and treated with QBT. Cognitive dysfunction in VaD rats was assessed using the Y-maze, new object recognition, and Morris water maze tests. Neuronal damage and inflammatory response in VaD rats were examined through Nissl staining, immunofluorescence, enzyme-linked immunospecific assay, and western blotting analysis. Furthermore, the effects of QBT on CXCL12/CXCR4 axis and its downstream signaling pathways, Janus kinase 2 (JAK2)/signal transducers and activators of transcription 3 (STAT3) and phosphatidylinositol 3 kinase (PI3K)/protein kinase B (AKT)/nuclear factor-κB (NF-κB), were investigated in VaD rats and BV2 microglial cells exposed to oxygen glucose deprivation. RESULTS: QBT significantly alleviated cognitive dysfunction and neuronal damage in VaD rats, along with inhibition of VaD-induced over-activation of microglia and astrocytes and inflammatory response. Moreover, QBT exhibited anti-inflammatory effects by inhibiting the CXCL12/CXCR4 axis and its downstream JAK2/STAT3 and PI3K/AKT/NF-κB pathways, thereby attenuating the neuroinflammatory response both in vivo and in vitro. CONCLUSION: QBT effectively mitigated neuronal damage and cognitive dysfunction in VaD rats, exerting neuroprotective effects by suppressing neuroinflammatory response through inhibition of the CXCL12/CXCR4 axis.
Subject(s)
Cognitive Dysfunction , Dementia, Vascular , Neuroprotective Agents , Rats , Animals , Proto-Oncogene Proteins c-akt/metabolism , NF-kappa B/metabolism , Neuroinflammatory Diseases , Phosphatidylinositol 3-Kinases/metabolism , Rats, Sprague-Dawley , Dementia, Vascular/drug therapy , Dementia, Vascular/metabolism , Neuroprotective Agents/pharmacology , Neuroprotective Agents/therapeutic use , Neuroprotective Agents/metabolism , Phosphatidylinositol 3-Kinase/metabolism , Microglia , Cognitive Dysfunction/drug therapy , Cognitive Dysfunction/metabolism , Chemokine CXCL12/metabolismABSTRACT
Among civilization diseases, the number of individuals suffering from type 2 diabetes (T2DM) is expected to increase to more than a billion in less than 20 years, which is associated with, e.g., populational aging, poor diet, sedentary lifestyle, genetic predispositions, and immunological factors. T2DM affects many organs and is characterized by insulin resistance, high glucose levels, and adipocyte dysfunction, which are related to senescence. Although this type of cellular aging has beneficial biological functions, it can also act unfavorable since senescent adipocytes resist apoptosis, enhance cytokine secretion, downregulate cell identity genes, and acquire the senescence-associated secretory phenotype that renders a more oxidative environment. Opposing T2DM is possible via a wide variety of senotherapies, including senolytics and senomorphics; nevertheless, further research is advised to expand therapeutic possibilities and benefits. Consequences that ought to be deeply researched include secretory phenotype, chronic inflammation, increasing insulin resistance, as well as impairment of adipogenesis and functioning of adipocyte cells. Herein, despite reviewing T2DM and fat tissue senescence, we summarized the latest adipocyte-related anti-diabetes solutions and suggested further research directions.
Subject(s)
Diabetes Mellitus, Type 2 , Insulin Resistance , Humans , Insulin Resistance/genetics , Adipocytes , Cellular Senescence/genetics , AgingABSTRACT
Hydrogen evolution reaction (HER) has become a key factor affecting the cycling stability of aqueous Zn-ion batteries, while the corresponding fundamental issues involving HER are still unclear. Herein, the reaction mechanisms of HER on various crystalline surfaces have been investigated by first-principle calculations based on density functional theory. It is found that the Volmer step is the rate-limiting step of HER on the Zn (002) and (100) surfaces, while, the reaction rates of HER on the Zn (101), (102) and (103) surfaces are determined by the Tafel step. Moreover, the correlation between HER activity and the generalized coordination number ([Formula: see text]) of Zn at the surfaces has been revealed. The relatively weaker HER activity on Zn (002) surface can be attributed to the higher [Formula: see text] of surface Zn atom. The atomically uneven Zn (002) surface shows significantly higher HER activity than the flat Zn (002) surface as the [Formula: see text] of the surface Zn atom is lowered. The [Formula: see text] of surface Zn atom is proposed as a key descriptor of HER activity. Tuning the [Formula: see text] of surface Zn atom would be a vital strategy to inhibit HER on the Zn anode surface based on the presented theoretical studies. Furthermore, this work provides a theoretical basis for the in-depth understanding of HER on the Zn surface.
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Background: Mild behavioral impairment (MBI) is one of the earliest observable changes when a person experiences cognitive decline and could be an early manifestation of underlying Alzheimer's disease neuropathology. Limited attention has been given to investigating the clinical applicability of behavioral biomarkers for detection of prodromal dementia. Objective: This study compared the prevalence of self-reported MBI and vascular risk factors in Southeast Asian adults to identify early indicators of cognitive impairment and dementia. Methods: This cohort study utilized baseline data from the Biomarkers and Cognition Study, Singapore (BIOCIS). 607 participants were recruited and classified into three groups: cognitively normal (CN), subjective cognitive decline (SCD), and mild cognitive impairment (MCI). Group comparisons of cognitive-behavioral, neuroimaging, and blood biomarkers data were applied using univariate analyses. Multivariate logistic regression analyses were conducted to investigate the association between cerebrovascular disease, vascular profiles, and cognitive impairment. Results: SCD had significantly higher depression scores and poorer quality of life (QOL) compared to CN. MCI had significantly higher depression scores; total MBI symptoms, MBI-interest, MBI-mood, and MBI-beliefs; poorer sleep quality; and poorer QOL compared to CN. Higher Staals scores, glucose levels, and systolic blood pressure were significantly associated with MCI classification. Fasting glucose levels were significantly correlated with depression, anxiety, MBI-social, and poorer sleep quality. Conclusions: The results reflect current research that behavioral changes are among the first symptoms noticeable to the person themselves as they begin to experience cognitive decline. Self-reported questionnaires may aid in early diagnoses of prodromal dementia. Behavioral changes and diabetes could be potential targets for preventative healthcare for dementia.
Subject(s)
Cognitive Dysfunction , Dementia , Humans , Dementia/epidemiology , Quality of Life , Cohort Studies , Southeast Asian People , Cognitive Dysfunction/diagnosis , Cognitive Dysfunction/epidemiology , Cognitive Dysfunction/psychology , Biomarkers , Glucose , Neuropsychological TestsABSTRACT
BACKGROUND: The use of structural and perfusion brain imaging in combination with behavioural information in the prediction of cognitive syndromes using a data-driven approach remains to be explored. Here, we thus examined the contribution of brain structural and perfusion imaging and behavioural features to the existing classification of cognitive syndromes using a data-driven approach. METHODS: Study participants belonged to the community-based Biomarker and Cognition Cohort Study in Singapore who underwent neuropsychological assessments, structural-functional MRI and blood biomarkers. Participants had a diagnosis of cognitively normal (CN), subjective cognitive impairment (SCI), mild cognitive impairment (MCI) and dementia. Cross-sectional structural and cerebral perfusion imaging, behavioural scale data including mild behaviour impairment checklist, Pittsburgh Sleep Quality Index and Depression, Anxiety and Stress scale data were obtained. RESULTS: Three hundred seventy-three participants (mean age 60.7 years; 56% female sex) with complete data were included. Principal component analyses demonstrated that no single modality was informative for the classification of cognitive syndromes. However, multivariate glmnet analyses revealed a specific combination of frontal perfusion and temporo-frontal grey matter volume were key protective factors while the severity of mild behaviour impairment interest sub-domain and poor sleep quality were key at-risk factors contributing to the classification of CN, SCI, MCI and dementia (p < 0.0001). Moreover, the glmnet model showed best classification accuracy in differentiating between CN and MCI cognitive syndromes (AUC = 0.704; sensitivity = 0.698; specificity = 0.637). CONCLUSIONS: Brain structure, perfusion and behavioural features are important in the classification of cognitive syndromes and should be incorporated by clinicians and researchers. These findings illustrate the value of using multimodal data when examining syndrome severity and provide new insights into how cerebral perfusion and behavioural impairment influence classification of cognitive syndromes.