Tailoring upconversion fluorescence of lanthanide doped nanocrystals by coupling to single microcavity mode with specific symmetry.

Lanthanide-doped upconversion nanoparticles have unique optical properties that can absorb low-energy infrared photons and then emit higher-energy visible ones, which have been widely used for advanced optical sensors and fluorescent probes. Efficiently tailoring the upconversion emission is desirable for meeting the wavelength requirement in various application fields. However, up to now, optimizing the composition combining with core/shell structure is still the predominant way to reach this goal.

The relationship between anxiety symptoms and disturbances in biological rhythms in patients with depression.

Background: Biological rhythms denote the cyclical patterns of life activities anchored to a 24-hour cycle. Research shows that depression exhibits disturbances in biological rhythms. Yet, the relationship between these biological rhythms and concomitant anxiety symptoms is insufficiently investigated in structured clinical assessments.

Infectious disease control: from health security strengthening to health systems improvement at global level.

Since the twenty first century, the outbreaks of global infectious diseases have caused several public health emergencies of international concern, imposing an enormous impact on population health, the economy, and social development. The COVID-19 pandemic has once again exposed deficiencies in existing global health systems, emergency management, and disease surveillance, and highlighted the importance of developing effective evaluation tools. This article outlines current challenges emerging from infectious disease control from the perspective of global health, elucidated through influenza, malaria, tuberculosis, and neglected tropical diseases.

Association of Short-Term Exposure to PM with Blood Lipids and the Modification Effects of Insulin Resistance: A Panel Study in Wuhan.

Results of previous studies about the acute effects of fine particulate matter (PM2.5) on blood lipids were inconsistent. This study aimed to quantify the short-term effects of PM2.

Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning.

Distinguishing bipolar depression (BD) from unipolar depression (UD) based on symptoms only is challenging. Brain functional connectivity (FC), especially dynamic FC, has emerged as a promising approach to identify possible imaging markers for differentiating BD from UD. However, most of such studies utilized conventional FC and group-level statistical comparisons, which may not be sensitive enough to quantify subtle changes in the FC dynamics between BD and UD.

How long-term air pollution and its metal constituents affect type 2 diabetes mellitus prevalence? Results from Wuhan Chronic Disease Cohort.

Background: Epidemiological evidence linking type 2 diabetes mellitus (T2DM) with air pollution is discrepant and most are restricted to the influences of air-pollutant mass concentration. This study aims to explore the effects of long-term exposure to air pollution and its metal constituents on T2DM prevalence in China.

Methods: We used data on 10,253 adult residents from the baseline survey of Wuhan Chronic Disease Cohort in 2019.

Associations of long-term exposure to ambient air pollutants with metabolic syndrome: The Wuhan Chronic Disease Cohort Study (WCDCS).

Background: Evidence on the associations between long-term exposure to ambient air pollutants (including particle with aerodynamic diameter ≤10 μm (PM), particle with aerodynamic diameter ≤2.5 μm (PM), ozone (O), nitrogen dioxide (NO), and sulfur dioxide (SO)) and prevalence of metabolic syndrome (MetS) remains inconclusive. This study aimed to determine the associations based on a case-control study nested in the Wuhan Chronic Disease Cohort study (WCDCS), a population-based study with baseline survey in 2019.

Short-term exposure to ambient air pollution and type 2 diabetes mortality: A population-based time series study.

Acute health effects of air pollution on diabetes risk have not been fully studied in developing countries and the results remain inconsistent. This study aimed to investigate the association between short-term exposure to ambient air pollution and Type 2 diabetes mellitus (T2DM) mortality in China. Data on T2DM mortality from 2013 to 2019 were obtained from the Cause of Death Reporting System (CDRS) of Wuhan Center for Disease Control and Prevention.

The association between diurnal temperature range and clinic visits for upper respiratory tract infection among college students in Wuhan, China.

The effects of daily mean temperature on health outcomes have been discussed in many previous studies, but few have considered the adverse impacts on upper respiratory tract infection (URTI) due to variance of temperature in one day. Diurnal temperature range (DTR) was a novel indicator calculated as maximum temperature minus minimum temperature on the same day. In this study, generalized additive model (GAM) with quasi-Poisson distribution was used to investigate the association between DTR and the number of daily outpatient visits for URTI among college students.

Acute effects of ambient air pollution on clinic visits of college students for upper respiratory tract infection in Wuhan, China.

Ambient air pollutants have been linked to adverse health outcomes, but evidence is still relatively rare in college students. Upper respiratory tract infection (URTI) is a common disease of respiratory system among college students. In this study, we assess the acute effect of air pollution on clinic visits of college students for URTI in Wuhan, China.

Ambient air pollution and cerebrovascular disease mortality: an ecological time-series study based on 7-year death records in central China.

Most studies of short-term exposure to ambient air pollution and cerebrovascular diseases focused on specific stroke-related outcomes, and results were inconsistent due to data unavailability and limited sample size. It is unclear yet how ambient air pollution contributes to the total cardiovascular mortality in central China. Daily deaths from cerebrovascular diseases were obtained from the Disease Surveillance Point System (DSPs) of Wuhan Center for Disease Control and Prevention during the period from 2013 to 2019.

The concurrent disturbance of dynamic functional and structural brain connectome in major depressive disorder: the prefronto-insular pathway.

Background: Robust evidence has shown that abnormal function networks, particularly the salience network (SN), are observed in depressed patients. Although white matter structural connectivity may predict time-varying functional connectivity, including symptom phenotype, in psychiatric disorders, there is still a gap in elucidating the concurrent dynamic functional and structural connectivity profiles of the SN in depressed patients.

Methods: We measured static and dynamic functional connectivity (FC) of the SN using resting-state fMRI BOLD time series in 76 subjects (21 with major depressive disorder (MDD), 27 with bipolar depression (BD), and 28 healthy controls (HC)).

The Metabolic Factor Kynurenic Acid of Kynurenine Pathway Predicts Major Depressive Disorder.

Metabolic factors in the kynurenine pathway (KP) have been widely accepted as being a major mechanism in Major Depressive Disorder (MDD). However, the effects of these metabolites on the degree and pattern of MDD are still poorly understood, partly due to the elusiveness of the level of metabolites when diagnosing depression. This study aimed to explore a novel diagnostic method analyzing peripheral blood with mass spectrometry to assess metabolites from KP in patients with MDD and Bipolar Depression (BD).

Somatic symptoms vary in major depressive disorder in China.

Purpose: This study aimed to investigate the clinical characteristics of somatic symptoms of patients in China who suffer from major depressive disorder (MDD).

Method: 3273 patients who met the diagnostic criteria of Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) MDD were recruited from 16 general hospitals and 16 mental health centers in China. Physicians and patients completed complementary customized depression disorder symptomatology questionnaires assessing the clinical characteristics of patients with MDD.

Aberrant Neural Activity in Patients With Bipolar Depressive Disorder Distinguishing to the Unipolar Depressive Disorder: A Resting-State Functional Magnetic Resonance Imaging Study.

This study aims to explore the intrinsic patterns of spontaneous activity of bipolar depression (BD) patients by analyzing the fractional amplitude of low frequency fluctuation (fALFF) that help differentiate BD from unipolar depressive disorder(UD). Twenty eight patients with BD, 47 patients with UD and 29 healthy controls were enrolled to receive the resting-state functional magnetic resonance imaging (rs-fMRI) scans. The group differences of fALFF values were calculated among three groups.

Dysfunction of Cognition Patterns Measured by MATRICS Consensus Cognitive Battery (MCCB) among First Episode Schizophrenia Patients and Their Biological Parents.

Background: Schizophrenia is characterized by abnormal perception, thinking, emotions, and behaviors. Cognitive dysfunction is acknowledged as one of the most pivotal symptoms in schizophrenia. In addition to positive or negative symptoms, which had been proposed by Gallhofer in the early 1970s, schizophrenia patients suffered from cognitive impairments as well.