On-site burn severity assessment using smartphone-captured color burn wound images.

Accurate assessment of burn severity is crucial for the management of burn injuries. Currently, clinicians mainly rely on visual inspection to assess burns, characterized by notable inter-observer discrepancies. In this study, we introduce an innovative analysis platform using color burn wound images for automatic burn severity assessment. To do this, we propose a novel joint-task deep learning model, which is capable of simultaneously segmenting both burn regions and body parts, the two crucial components in calculating the percentage of total body surface area (%TBSA). Asymmetric attention mechanism is introduced, allowing attention guidance from the body part segmentation task to the burn region segmentation task. A user-friendly mobile application is developed to facilitate a fast assessment of burn severity at clinical settings. The proposed framework was evaluated on a dataset comprising 1340 color burn wound images captured on-site at clinical settings. The average Dice coefficients for burn depth segmentation and body part segmentation are 85.12 % and 85.36 %, respectively. The R2 for %TBSA assessment is 0.9136. The source codes for the joint-task framework and the application are released on Github (https://github.com/xjtu-mia/BurnAnalysis). The proposed platform holds the potential to be widely used at clinical settings to facilitate a fast and precise burn assessment.

[Retracted] ANRIL is associated with the survival rate of patients with colorectal cancer, and affects cell migration and invasion in vitro.

Following the publication of this paper, it was drawn to the Editors' attention by a concerned reader that the Transwell migration and invasion assay data shown in Fig. 4A and B on p. 1418 were strikingly similar to data appearing in different form in other articles written by different authors at different research institutes that had already been published elsewhere prior to the submission of this paper to Molecular Medicine Reports. In view of the fact that the abovementioned data had already apparently been published previously, the Editor of Molecular Medicine Reports has decided that this paper should be retracted from the Journal. The authors were asked for an explanation to account for these concerns, but the Editorial Office did not receive a reply. The Editor apologizes to the readership for any inconvenience caused. [Molecular Medicine Reports  14: 1714­1720, 2016; DOI: 10.3892/mmr.2016.5409].

Unlocking the night: Exploring the health impacts of night-time walking environments on health outcomes of older adults.

Walking remains the primary form of physical activity for many older adults in China, and the quality of the walking environment at night may determine the frequency and duration of evening outings. This study reveals how night-time environmental features influence the health outcomes of older adults. Using the medical check-up records of 87,578 older adults from a public health service in the Beilin district of Xi'an city, China, the role of the night-time walking environment in managing chronic conditions was examined. A favorable night-time walking environment reduced the prevalence of chronic conditions and comorbidities among older adults. However, the health effects stemming from the night-time walking environment exhibited heterogeneity, with significant impacts only on metabolic conditions, such as hypertension and diabetes, while the effects on other conditions were not significant. Our findings supplement the theory of healthy aging by highlighting the potential value of the environment in managing chronic conditions, which may serve as a cost-effective health intervention for aging societies.

Target-inhibited MCOF-Apt-AuNPs self-assembly for multicolor colorimetric detection of Salmonella Typhimurium.

Pathogens detection is a crucial measure in the prevention of foodborne diseases. This study developed a novel multicolor colorimetric assay to visually detect Salmonella Typhimurium (S. Typhimurium), by utilizing the etching process of gold nanorods (AuNRs) with TMB2+. The strategy involved the construction of nanozyme by assembling magnetic covalent organic framework (MCOF) with aptamer-conjugated AuNPs (Apt-AuNPs), exhibiting remarkable peroxidase-like activity to catalyze the oxidation of TMB/H2O2 and inducing the etching of AuNRs. The presence of S. Typhimurium could inhibit this process, resulting in the generation of vivid colors. The multicolor colorimetric assay could specifically determine S. Typhimurium from 102 to 108 CFU mL-1 in 60 min with visual detection limit of 102 CFU mL-1, and instrumental detection limit of 2.3 CFU mL-1. Moreover, detecting S. Typhimurium in chicken, milk, pork and lettuce samples has shown promise in practical applications.

Effect of pH on the surface charges of permanently/variably charged soils and clay minerals.

Traditionally, the surface charge number (SCN) of permanently charged soils/clay minerals is believed to be unaffected by environmental pH. However, recent studies have revealed the occurrence of polarization-induced covalent bonding between H+ and the surface O atoms of permanently charged clay minerals. This discovery challenges the traditional notions of "permanently charged soil" and "permanently charged clay mineral". The purpose of this study is to confirm that there are no true "permanently charged clay" or "permanently charged soil". In this study, the SCNs of two permanently charged clay minerals, two variably charged clay minerals, five permanently charged soils (temperate soils), and four variably charged soils (tropical or subtropical soils) were measured at different pH values using the universal determination method of SCN. The results showed that: (1) The SCNs of the permanently/variably charged soils and clay minerals decreased significantly with decreasing pH; (2) the SCN of montmorillonite decreased less with decreasing pH than the SCNs of variably charged minerals, whereas the SCN of illite decreased to nearly the same extent, indicating strong polarization-induced covalent bonding between H+ and the surface O atoms of illite; (3) the SCNs of permanently charged soils decreased to a similar extent as those of variably charged soils with decreasing pH. This study demonstrated that the concepts, "permanently charged clay mineral" or "permanently charged soil", are questionable because of the polarization-induced covalent bonding between H+ and the surface O atoms of clay minerals.

Durable Photo-Pyroelectric Detection in a Diamine-Constructed Lead-Free Hybrid Perovskite Ferroelectric.

As a subcategory of pyroelectric materials, hybrid perovskite ferroelectrics possess substantial pyroelectric properties and exceptional light absorption characteristics, demonstrating significant potential in the photo-pyroelectric (PPE) detection field. Despite the significant advantages of hybrid perovskite ferroelectric materials for PPE detection, both the lead issue and the weak stability from van der Waals interactions in monoamines have hindered their further application. Here, 1D lead-free ferroelectric (BDA)SbBr5 (1, where BDA is 1,4-butanediammonium) is fabricated to achieve PPE detection. Compound 1 exhibits significant symmetry breaking attributed to the order-disorder transition of organic cations and octahedral distortions. Specifically, compound 1 enables broad-spectrum PPE detection from UV to near-infrared (377-980 nm) and further realizes switchable pyroelectric current after polarization. More importantly, the stability of the pyroelectric current is preserved without degradation over three months, attributed to the hydrogen bonding interactions of butanediamide. Further theoretical calculations of compound 1 reveal a more negative energy of formation than its monoamine homologs (BA)2SbBr5 (where BA is n-butylammonium), which is evidence of its stability. These findings highlight 1 as a promising candidate for high-stability and environmentally friendly PPE wide-spectrum detection, representing a noteworthy advancement in the ferroelectric field.

Exploring the gut microbiome and immunological landscape in kidney cancer: a Mendelian randomization analysis.

Introduction: Kidney cancer (KC) is a significant health burden globally, with over 400,000 new cases estimated in 2020. The prognosis of KC is influenced by various factors, including tumor spread, pathological characteristics, and molecular genetic changes. Recent studies have emphasized the involvement of gut microbiota and the immune system's contribution in the onset of KC. This extensive research endeavor sought to investigate the potential associations between diverse immune cell phenotypes, specific gut microbiota species, and their impact on the risk of developing KC, alongside the examination of circulating inflammatory proteins. Methods: Adhering to the STROBE-MR guidelines, our investigation involved a two-stage Mendelian randomization (2SMR) analysis grounded on three fundamental assumptions: relevance, independence, and exclusion restriction. The exposure data utilized in this study originated from genome-wide association studies (GWAS) specifically designed to explore immune traits, inflammatory proteins, and gut microbiota compositions. Results: Our analysis identified 25 immune phenotypes, 4 circulating inflammatory proteins, and 12 gut microbiota features that exhibited significant causal associations with KC (P < 0.05). 10 immune phenotypes were protective against KC, while 15 were risk factors. Among the inflammatory proteins, CCL28 and IL-2 were protective, whereas FGF-23 and ß-NGF were risk factors. Gut microbiota features associated with reduced KC risk included biosynthetic pathways involving amino acids and specific bacterial genera, whereas others, like Butyrivibrio crossotus and Odoribacter splanchnicus, were risk factors. Conclusion: Immune, inflammatory, and gut microbiota factors impact KC development. Identified factors hint at biomarkers and therapeutic targets. It is very important to understand the relationship between these factors and KC.

A High-Throughput Visual Screen for the Directed Evolution of C ß -stereoselectivity of L-threonine Aldolase.

L-Threonine aldolase (L-TA) is a pyridoxal phosphate-dependent enzyme that catalyzes the reversible condensation of glycine and aldehydes to form ß-hydroxy-α-amino acids. The combination of directed evolution and efficient high-throughput screening methods is an effective strategy for enhancing the enzyme's catalytic performance. However, few feasible high-throughput methods exist for engineering the Cß-stereoselectivity of L-TAs. Here, we present a novel method of screening for variants with improved Cß-stereoselectivity; this method couples an L-threo-phenylserine dehydrogenase, which catalyzes the specific oxidation of L-threo-4-methylsulfonylphenylserine (L-threo-MTPS), with the concurrent synthesis of NADPH, which is easily detectable via 340-nm UV absorption. This enables the visual detection of L-threo-MTPS produced by L-TA through the measurement of generated NADPH. Using this method, we discover an L-TA variant with significantly higher diastereoselectivity, increasing from 0.98% de (for the wild-type) to 71.9% de.

Polarization of Macrophages in Tumor Microenvironment Using High-Throughput Single-Cell Metabolomics.

Macrophages consist of a heterogeneous population of functionally distinct cells that participate in many physiological and pathological processes. They exhibit prominent plasticity by changing their different functional phenotypes represented by proinflammatory (M1) and anti-inflammatory (M2) in response to different environmental stimuli. Emerging evidence illustrates the importance of intracellular metabolic pathways in macrophage polarizations and functions. In the tumor microenvironment (TME), macrophages tend to M2 polarization, which promotes tumor growth and leads to adverse physiological effects. Due to the lack of highly specific antigens in M1 and M2 macrophages, significant challenges present in isolating these subtypes from clinical samples or in vitro coculture models of tumor-immune cells. In reverse, the single-cell technique provides the possibility to investigate the factors influencing macrophage polarization in the TME. In this research, we employed inertial microfluidic chip-mass spectrometry (IMC-MS) to conduct single-cell metabolomics analysis of macrophages polarized into the two major phenotypes, respectively, and 213 metabolites were identified in total. Subsequently, differential metabolites between macrophage phenotypes were analyzed using volcano plots and binary logistic regression models. Glutamine was pinpointed as a key metabolite for the M1 and M2 phenotypes. Experimental results from both monoculture and coculture cell models demonstrated that M1 polarization is more reliant on the presence of glutamine in the culture environment than M2 polarization. Glutamine deficiency resulted in failed M1 polarization, while its absence had a less pronounced effect on M2 polarization. Replenishing an appropriate amount of glutamine during the intermediate stages of coculture models significantly enhanced the proportion of M1 polarization and suppressed the growth of tumor cells. This research elucidated glutamine as a key factor influencing macrophage polarization in the TME via single-cell metabolomics based on IMC-MS, offering promising insights and targets for tumor therapies.

Gene regulatory mechanisms of T cell exhaustion in diffuse large B cell lymphoma based on single-cell transcriptome data.

Diffuse large B cell lymphoma (DLBCL) is a heterogeneous and aggressive B cell malignancy that accounts for about 30 % of non-Hodgkin lymphomas. The current standard treatment for DLBCL is rituximab plus chemotherapy, but many patients are refractory or relapse, indicating the need for improved understanding of its molecular pathology. T cell exhaustion is a state of dysfunction or impairment that occurs in chronic infections or cancers, and is associated with poor prognosis in DLBCL. However, the molecular mechanisms of T cell exhaustion in DLBCL are poorly understood. In this study, we performed a comprehensive analysis of T cell exhaustion in DLBCL using public single-cell transcriptome data. We identified different subtypes of T cells and characterized their gene expression features. We found that DLBCL had a significantly higher proportion of exhausted T cells than normal tonsil, and that exhausted T cells had distinct gene expression signatures from non-exhausted T cells. These signatures included genes related to inhibitory receptors, cytokines, transcription factors and metabolic enzymes. We also found that ID3 gene was significantly upregulated in exhausted T cells in DLBCL, which may play a key role in T cell exhaustion. We constructed a protein-protein interaction network, identifying major hub proteins involved in T cell exhaustion or migration. We also performed KEGG and GO enrichment analysis for the differentially expressed genes between exhausted and non-exhausted T cells, and found important signaling pathways related to T cell exhaustion in DLBCL. Our results provide new insights into the molecular mechanisms underlying T cell exhaustion and offer novel therapeutic targets for this complex disease.

Genomic and immune heterogeneity of multiple synchronous lung adenocarcinoma at different developmental stages.

Multiple synchronous lung cancers (MSLCs) constitute a unique subtype of lung cancer. To explore the genomic and immune heterogeneity across different pathological stages of MSLCs, we analyse 16 MSLCs from 8 patients using single-cell RNA-seq, single-cell TCR sequencing, and bulk whole-exome sequencing. Our investigation indicates clonally independent tumours with convergent evolution driven by shared driver mutations. However, tumours from the same individual exhibit few shared mutations, indicating independent origins. During the transition from pre-invasive to invasive adenocarcinoma, we observe a shift in T cell phenotypes characterized by increased Treg cells and exhausted CD8+ T cells, accompanied by diminished cytotoxicity. Additionally, invasive adenocarcinomas exhibit greater neoantigen abundance and a more diverse TCR repertoire, indicating heightened heterogeneity. In summary, despite having a common genetic background and environmental exposure, our study emphasizes the individuality of MSLCs at different stages, highlighting their unique genomic and immune characteristics.

A revisit of knowledge, attitude and practice of emergency contraception in Hong Kong.

OBJECTIVES: To revisit women's knowledge, attitudes and practices (KAP) regarding emergency contraception (EC) in Hong Kong. The research sought to provide insights for improving the accessibility and quality of EC services. STUDY DESIGN: A cross-sectional study, where self-administered questionnaires were distributed at a major community sexual and reproductive health service in Hong Kong over a 3-month period between July 2023 and October 2023. Descriptive and regression analyses were used. RESULTS: Of 1127 respondents, the majority (n=1057, 93.8%) reported using contraception and 513 (45.6%) had used EC. The main contraceptive methods used were male condoms and oral contraceptive pills. The majority (n=1035, 91.8%) of respondents demonstrated awareness about EC and 938 (83.2%) participants correctly reported the timeframe for oral EC. Around two-thirds reported the internet as being their leading source of EC knowledge. Over 93% of respondents advocated for enhancing public awareness. Acceptance of non-traditional means of obtaining EC, such as over-the-counter provision (51.3%), pharmacy provision (49.8%) and telemedicine consultation (43.1%), were higher than face-to-face EC consultations (32.9%). CONCLUSIONS: Family planning service users' characteristics and KAP regarding EC have significantly changed over the last 20 years. Women now demonstrate greater awareness, knowledge and openness regarding EC, indicating improved readiness for more liberal delivery of EC nowadays. This study highlights the need for restructuring EC service provision in Hong Kong to address women's changing preferences and contraceptive needs, and to minimise barriers to EC access. We recommend reclassifying emergency contraceptive pills as non-prescription drugs in Hong Kong to align with international practice.

What are the home care needs of Chinese healthcare workers: a latent class analysis.

Background: The aging population has led to a surge in demand for home care, which has developed rapidly in China in recent years. However, there has been less empirical research into the needs of healthcare workers about providing home care. The purpose of this study was to explore the latent classes of healthcare workers' needs in primary health care institutions and to identify associated factors. Methods: From August 2021 to June 2022, a convenience sampling method was adopted to conduct a questionnaire survey on the workers of 62 primary healthcare institutions in Sichuan Province. Latent class analysis was used to categorize home care needs by Mplus 8.3. Multinomial logistic regression analysis was adopted to explore the influencing factors using SPSS 25.0. Results: A total of 1,152 healthcare workers were included in the study. Their needs for home care were classified into four latent classes: overall high need group (18.0%); overall low need group (34.8%); high training and low support need group (29.9%), and the high security and low training need group (17.3%). The factors influencing the different need categories included working area, professional title, role of medical workers, had participated in training about home care, and feelings about home care, with Class 1 as the reference group. Conclusion: Our findings indicate that primary healthcare workers have multifaceted needs for providing home care. Paying attention to their diverse needs can help optimize home care and enhance service capacity. Exploring the factors affecting needs can provide targeted support to healthcare workers to ensure the quality and continuity of home care services.

Self-enhanced PTX@HSA-HA loaded functionalized injectable hydrogel for effective local chemo-photothermal therapy in breast cancer.

Breast cancer is a malignant tumor that poses a significant threat to women's health and single therapy fails to play a good oncological therapeutic effect. Synergistic treatment with multiple strategies may make up for the deficiencies and has gained widespread attention. In this study, sulfhydryl-modified hyaluronic acid (HA-SH) was covalently crosslinked with polydopamine (PDA) via a Michael addition reaction to develop an injectable hydrogel, in which PDA can be used not only as a matrix but also as a photothermal agent. After HSA and paclitaxel were spontaneously organized into nanoparticles via hydrophobic interaction, hyaluronic acid with low molecular weight was covalently linked to HSA, thus conferring effectively delivery. This photothermal injectable hydrogel incorporates PTX@HSA-HA nanoparticles, thereby initiating a thermochemotherapeutic response to target malignancy. Our results demonstrated that this injectable hydrogel possesses consistent drug delivery capability in a murine breast cancer model, collaborating with photothermal therapy to effectively suppress tumor growth, represented by low expression of Ki-67 and increasing apoptosis. Photothermal therapy (PTT) can effectively stimulate immune response by increasing IL-6 and TNF-α. Notably, the treatment did not elicit any indications of toxicity. This injectable hydrogel holds significant promise as a multifaceted therapeutic agent that integrates photothermal and chemotherapeutic modalities.