A "What Matters Most" approach to investigating intersectional stigma toward HIV and cancer in Hanoi, Vietnam.

BACKGROUND: Vietnam is experiencing a growing burden of cancer, including among people living with HIV. Stigma acts as a sociocultural barrier to the prevention and treatment of both conditions. This study investigates how cultural notions of "respected personhood" (or "what matters most") influence manifestations of HIV-related stigma and cancer stigma in Hanoi, Vietnam. METHODS: Thirty in-depth interviews were conducted with people living with HIV in Hanoi, Vietnam. Transcripts were thematically coded via a directed content analysis using the What Matters Most conceptual framework. Coding was done individually and discussed in pairs, and any discrepancies were reconciled in full-team meetings. RESULTS: Analyses elucidated that having chu tín-a value reflecting social involvement, conscientiousness, and trustworthiness-and being successful (eg, in career, academics, or one's personal life) are characteristics of respected people in this local cultural context. Living with HIV and having cancer were seen as stigmatized and interfering with these values and capabilities. Intersectional stigma toward having both conditions was seen to interplay with these values in some ways that had distinctions compared with stigma toward either condition alone. Participants also articulated how cultural values like chu tín are broadly protective against stigmatization and how getting treatment and maintaining employment can help individuals resist stigmatization's most acute impacts. CONCLUSIONS: HIV-related and cancer stigma each interfere with important cultural values and capabilities in Vietnam. Understanding these cultural manifestations of these stigmas separately and intersectionally can allow for greater ability to measure and respond to these stigmas through culturally tailored intervention.

Fine-tuning bromide AIE probes for Hg2+ detection in mitochondria with wash-free staining.

Mercury ions (Hg2+) primarily target mitochondria in the cells. Therefore, the development of novel probes that specifically target mitochondria in the presence of Hg2+ is of immense importance. Most previously reported probes that utilize the softness of S, Te, O, and/or N atoms for Hg2+ binding often face problems such as fluorescence quenching and off-target signals. In this study, bromide-hydrocarbon pyridinium salts were designed to target the mitochondria and chelate Hg2+ via Hg-Br coordination bonds. As a prototype, four aggregation-induced emission (AIE) fluorogens, namely TPP-Br, TPP-Cl, R1, and R2, with a similar D-π-A structure but slight differences in their halogen substituents, were designed. Among them, only TPP-Br achieved the highly selective and sensitive detection of Hg2+ by triggering its AIE properties, resulting in remarkable emission enhancement (80-fold), colorimetry, and the Tyndall effect. TPP-Br exhibited high selectivity and sensitivity to Hg2+ with a detection limit of 0.35 µM, rapid response time (<10 s), and large Stokes shift of 185 nm. Their interaction modes were studied using a combination of 1H nuclear magnetic resonance spectroscopy, scanning electron microscopy, fluorescent lifetime decay, and theoretical calculations. TPP-Br exhibited a low emission background in cells, whereas in the presence of Hg2+, mitochondria were lit up with wash-free staining. This study provides a powerful tool for accurately diagnosing mercury poisoning-related diseases in mitochondria.

Association of Objective and Self-Reported Sleep Duration With All-Cause and Cardiovascular Disease Mortality: A Community-Based Study.

Background Previous studies found an association between self-reported sleep duration and mortality. This study aimed to compare the effects of objective and self-reported sleep duration on all-cause and cardiovascular disease (CVD) mortality. Methods and Results A total of 2341 men and 2686 women (aged 63.9±11.1 years) were selected from the SHHS (Sleep Heart Health Study). Objective sleep duration was acquired using in-home polysomnography records, and self-reported sleep duration on weekdays and weekends was based on a sleep habits questionnaire. The sleep duration was categorized as ≤4 hours, 4 to 5 hours, 5 to 6 hours, 6 to 7 hours, 7 to 8 hours, and >8 hours. Multivariable Cox regression analysis was used to investigate the association of objective and self-reported sleep duration with all-cause and CVD mortality. During a mean follow-up period of 11 years, 1172 (23.3%) participants died, including 359 (7.1%) deaths from CVD. All-cause and CVD mortality rates decreased gradually with increasing objective sleep duration. In multivariable Cox regression analysis, the greatest association for all-cause and CVD mortality was with an objective sleep duration of 5 hours or shorter. In addition, we found a J-shaped association of self-reported sleep duration on both weekdays and weekends with all-cause and CVD mortality. Self-reported short (≤4 hours) and long (>8 hours) sleep duration on weekdays and weekends were associated with an increased risk of all-cause and CVD mortality compared with 7 to 8 hours sleep duration. Furthermore, a weak correlation was observed between objective and self-reported sleep duration. Conclusions This study showed that both objective and self-reported sleep duration were associated with all-cause and CVD mortality, but with different characteristics. Registration URL: https://clinicaltrials.gov/ct2/show/NCT00005275; Unique identifier: NCT00005275.

LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.

With the development of bioinformatics, the important role played by lncRNAs in various intractable diseases has aroused the interest of many experts. In recent studies, researchers have found that several human diseases are related to lncRANs. Moreover, it is very difficult and expensive to explore the unknown lncRNA-disease associations (LDAs), so only a few associations have been confirmed. It is vital to find a more accurate and effective method to identify potential LDAs. In this study, a method of collaborative matrix factorization based on correntropy (LDCMFC) is proposed for the identification of potential LDAs. To improve the robustness of the algorithm, the traditional minimization of the Euclidean distance is replaced with the maximized correntropy. In addition, the weighted K nearest known neighbor (WKNKN) method is used to rebuild the adjacency matrix. Finally, the performance of LDCMFC is tested by 5-fold cross-validation. Compared with other traditional methods, LDACMFC obtains a higher AUC of 0.8628. In different types of studies of three important cancer cases, most of the potentially relevant lncRNAs derived from the experiments have been validated in the databases. The final result shows that LDCMFC is a feasible method to predict LDAs.

Characterizing serum amino acids in schizophrenic patients: Correlations with gut microbes.

Amino acid abnormalities have been suggested to be a key pathophysiological mechanism in schizophrenia (SZ). Recently, gut microbes were found to be critically involved in mental and metabolic diseases. However, the relationship between serum amino acid levels and gut microbes in SZ is rarely studied. Here, we analyzed serum amino acid levels in 76 untreated SZ patients and 79 healthy controls (HC). Serum levels of 10 amino acids were significantly altered in patients with SZ. We further classified the cut-off values for serum arginine, leucine, glutamine, and methionine levels to distinguish SZ patients from controls. These classifiers were shown to be effective in another validation cohort (49 SZ and 48 HC). The correlation between serum amino acids and clinical symptoms and cognitive functions was also analyzed. Arginine, leucine, glutamine, and methionine levels were significantly correlated with clinical symptoms and cognitive impairments in SZ patients. By metagenome shotgun sequencing of fecal samples, we found that patients with SZ with a low level of serum amino acids have higher richness and evenness of the gut microbiota. At the genus level, the abundances of Mitsuokella and Oscillibacter are significantly abnormal. At the mOTU level, 15 mOTUs in the low-level SZ group were significantly different from the HC group. In addition, Mitsuokella multacida was correlated with glutamine and methionine, respectively. Our research revealed that alterations in serum amino acid levels are critically related to changes in gut microbiota composition in SZ patients. These findings may shed light on new strategies for the diagnosis and treatment of SZ.

Sleep Efficiency May Predict Depression in a Large Population-Based Study.

Objectives: The purpose of our study was to investigate the effect of objective sleep characteristics on the incidence of depression. Methods: The participants of our study (1,595 men and 1,780 women with 63.1 ± 10.7 years) were selected from the Sleep Heart Health Study (SHHS) datasets. Depression was defined as the first occurrence between SHHS visit 1 and visit 2. Objective sleep characteristics, including sleep efficiency (SE), wake after sleep onset (WASO), sleep fragmentation index (SFI) and arousal index (ArI), were monitored by polysomnography. Multivariable logistic regression was used to explore the relationship between sleep characteristics and depression. Results: A total of 248 patients with depression (7.3%) were observed between SHHS visits 1 and 2. After adjusting for covariates, SE (odds ratio [OR], 0.891; 95% confidence interval [CI] 0.811-0.978; P = 0.016) and WASO (OR, 1.021; 95% CI 1.002-1.039; P = 0.026) were associated with the incidence of depression. Moreover, the relationship between SE and depression was more pronounced in men (OR, 0.820; 95% CI 0.711-0.946; P = 0.007) than in women (OR, 0.950; 95% CI 0.838-1.078; P = 0.429) in subgroup analysis (P interaction < 0.05). Conclusions: SE and WASO may be markers for the incidence of depression. The association between SE and depression was intensified in men.