Serum proteome and metabolome uncover novel biomarkers for the assessment of disease activity and diagnosing of systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is an autoimmune disease affecting thousands of people. There are still no effective biomarkers for SLE diagnosis and disease activity assessment. We performed proteomics and metabolomics analyses of serum from 121 SLE patients and 106 healthy individuals, and identified 90 proteins and 76 metabolites significantly changed. Several apolipoproteins and the metabolite arachidonic acid were significantly associated with disease activity. Apolipoprotein A-IV (APOA4), LysoPC(16:0), punicic acid and stearidonic acid were correlated with renal function. Random forest model using the significantly changed molecules identified 3 proteins including ATRN, THBS1 and SERPINC1, and 5 metabolites including cholesterol, palmitoleoylethanolamide, octadecanamide, palmitamide and linoleoylethanolamide, as potential biomarkers for SLE diagnosis. Those biomarkers were further validated in an independent cohort with high accuracy (AUC = 0.862 and 0.898 for protein and metabolite biomarkers respectively). This unbiased screening has led to the discovery of novel molecules for SLE disease activity assessment and SLE classification.

Perspectives of individuals with sickle cell disease on barriers to care.

INTRODUCTION: Sickle cell disease (SCD) is an inherited hemoglobinopathy that predominantly affects African Americans in the United States. The disease is associated with complications leading to high healthcare utilization rates, including emergency department (ED) visits and hospitalizations. Optimal SCD care requires a multidisciplinary approach involving SCD specialists to ensure preventive care, minimize complications and prevent unnecessary ED visits and hospitalizations. However, most individuals with SCD receive sub-optimal care or are unaffiliated with care (have not seen an SCD specialist). We aimed to identify barriers to care from the perspective of individuals with SCD in a multi-state sample. METHODS: We performed a multiple methods study consisting of surveys and interviews in three comprehensive SCD centers from March to June 2018. Interviews were transcribed and coded, exploring themes around barriers to care. Survey questions on the specific themes identified in the interviews were analyzed using summary statistics. RESULTS: We administered surveys to 208 individuals and conducted 44 in-depth interviews. Barriers to care were identified and classified according to ecological level (i.e., individual, family/interpersonal, provider, and socio-environmental/organizational level). Individual-level barriers included lack of knowledge in self-management and disease severity. Family/interpersonal level barriers were inadequate caregiver support and competing life demands. Provider level barriers were limited provider knowledge, provider inexperience, poor provider-patient relationship, being treated differently, and the provider's lack of appreciation of the patient's SCD knowledge. Socio-environmental/organizational level barriers included limited transportation, lack of insurance, administrative barriers, poor care coordination, and reduced access to care due to limited clinic availability, services provided or clinic refusal to provide SCD care. CONCLUSION: Participants reported several multilevel barriers to SCD care. Strategies tailored towards reducing these barriers are warranted. Our findings may also inform interventions aiming to locate and link unaffiliated individuals to care.

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients.

In patients with stroke, damage to the central nervous system (CNS) can affect the postural stability and increase the risk of falling. Therefore, accurately assessing the balance is important to understand the type, extent, and causes of balance deficit, and to identify individualized interventions. Clinical assessment methods for balance function can be broadly divided into observation, scale assessment, and balance instrument testing. Here, a clinical protocol is presented for static and dynamic balance assessment in stroke patients, which includes three semiquantitative balance function scale assessments (i.e., Berg Balance Scale, Timed Up and Go Test, and Fugl-Meyer Assessment) and three quantitative instrumental balance evaluation (i.e., Stability Assessment Module, Proprioceptive Assessment Module, and Limit of Stability Module). It is recommended that clinicians consider the use of both classic clinical balance scales and instrumental balance measurements when assessing stroke patients to improve the accuracy of assessments, leading to a better individualized treatment plan.

Who cares for the schizophrenia individuals in rural China - A profile of primary family caregivers.

OBJECTIVE: The present study aims to provide a comprehensive profile of the primary family caregivers of schizophrenia individuals in rural China. METHOD: A cross-sectional study was conducted with a sample of 327 primary family caregivers of schizophrenia individuals recruited through a one-stage cluster sampling in Ningxiang County of Hunan province, China. The social demographic and psychological profiles of primary caregivers were measured using standard scales and self-designed scales. RESULTS: The typical caregiver profile consists of a 58-year old married first degree relative (mostly parents or spouses) with a low socio-economic position. Most of them have been caregiving for over 10 years (74.3%) and have some physical illness (67.0%). The major caregiving activities were medicine management (71.6%) and hospital visit (69.4%), yet there is still 17.1% primary caregivers involved with neither of the care. Most (84%) of caregivers reported some kind of burden, with anxiety in 45.9% of caregivers and depression in 45.4%. Family caregivers also reported positive aspects of caregiving including a well-functional family (51.0%) and rewarding feelings (58.3%). CONCLUSION: The findings of the present study have brought attention to a special group of family caregivers for schizophrenia, with implications for intervention on them in the future.

Factor analyses of the Chinese Zarit Burden Interview among caregivers of patients with schizophrenia in a rural Chinese community.

OBJECTIVE: This study aimed to evaluate the factor structure of the Chinese version of the 22-item Zarit Burden Interview (ZBI) among family caregivers of patients with schizophrenia in China. METHODS: Using one-stage cluster-sampling design, 324 primary caregivers of patients with schizophrenia in Ningxiang County, Hunan Province, China, completed the Zarit Burden Interview face-to-face. Confirmatory factor analysis (CFA) was first performed based on existing models to check model fit. Owing to an unsatisfactory result of CFA, exploratory factor analysis (EFA) was then conducted to explore a new factor structure, and a subsequent CFA was run to examine its model fit. RESULTS: The CFA results showed that none of the existing models fit the data reasonably well. The EFA results suggested five dimensions: negative emotion (10 items), interpersonal relationship (4 items), time demand (3 items), patient's dependence (2 items) and self-accusation and guilt (2 items). The following CFA confirmed the five-factor solution in this study, and the goodness-of-fit for this model fell within the acceptable range. The overall internal consistency (Cronbach's alpha) was 0.88, and the internal consistency coefficients of individual dimensions were 0.68 to 0.84. CONCLUSION: This study supported a 22-item ZBI scale, with a five-factor structure when applied to Chinese caregivers of patients with schizophrenia.