Single-cell mosaic integration and cell state transfer with auto-scaling self-attention mechanism.

The integration of data from multiple modalities generated by single-cell omics technologies is crucial for accurately identifying cell states. One challenge in comprehending multi-omics data resides in mosaic integration, in which different data modalities are profiled in different subsets of cells, as it requires simultaneous batch effect removal and modality alignment. Here, we develop Multi-omics Mosaic Auto-scaling Attention Variational Inference (mmAAVI), a scalable deep generative model for single-cell mosaic integration. Leveraging auto-scaling self-attention mechanisms, mmAAVI can map arbitrary combinations of omics to the common embedding space. If existing well-annotated cell states, the model can perform semisupervised learning to utilize existing these annotations. We validated the performance of mmAAVI and five other commonly used methods on four benchmark datasets, which vary in cell numbers, omics types, and missing patterns. mmAAVI consistently demonstrated its superiority. We also validated mmAAVI's ability for cell state knowledge transfer, achieving balanced accuracies of 0.82 and 0.97 with less 1% labeled cells between batches with completely different omics. The full package is available at https://github.com/luyiyun/mmAAVI.

Multiplexed sequential imaging in living cells with orthogonal fluorogenic RNA aptamer/dye pairs.

Detecting multiple targets in living cells is important in cell biology. However, multiplexed fluorescence imaging beyond two-to-three targets remains a technical challenge. Herein, we introduce a multiplexed imaging strategy, 'sequential Fluorogenic RNA Imaging-Enabled Sensor' (seqFRIES), which enables live-cell target detection via sequential rounds of imaging-and-stripping. In seqFRIES, multiple orthogonal fluorogenic RNA aptamers are genetically encoded inside cells, and then the corresponding cell membrane permeable dye molecules are added, imaged, and rapidly removed in consecutive detection cycles. As a proof-of-concept, we have identified in this study four fluorogenic RNA aptamer/dye pairs that can be used for highly orthogonal and multiplexed imaging in living bacterial and mammalian cells. After further optimizing the cellular fluorescence activation and deactivation kinetics of these RNA/dye pairs, the whole four-color semi-quantitative seqFRIES process can be completed in ∼20 min. Meanwhile, seqFRIES-mediated simultaneous detection of critical signalling molecules and mRNA targets was also achieved within individual living cells. We expect our validation of this new seqFRIES concept here will facilitate the further development and potential broad usage of these orthogonal fluorogenic RNA/dye pairs for multiplexed and dynamic live-cell imaging and cell biology studies.

Targeted RNA condensation in living cells via genetically encodable triplet repeat tags.

Living systems contain various membraneless organelles that segregate proteins and RNAs via liquid-liquid phase separation. Inspired by nature, many protein-based synthetic compartments have been engineered in vitro and in living cells. Here, we introduce a genetically encoded CAG-repeat RNA tag to reprogram cellular condensate formation and recruit various non-phase-transition RNAs for cellular modulation. With the help of fluorogenic RNA aptamers, we have systematically studied the formation dynamics, spatial distributions, sizes and densities of these cellular RNA condensates. The cis- and trans-regulation functions of these CAG-repeat tags in cellular RNA localization, life time, RNA-protein interactions and gene expression have also been investigated. Considering the importance of RNA condensation in health and disease, we expect that these genetically encodable modular and self-assembled tags can be widely used for chemical biology and synthetic biology studies.

Transcriptomics and metabolomics analysis reveal the dietary copper deficiency and supplementation effects of liver gene expression and metabolite change in grazing sheep.

BACKGROUND: The appropriate mineral nutrients are essential for sheep growth and reproduction. However, traditional grazing sheep often experience mineral nutrient deficiencies, especially copper (Cu), due to inadequate mineral nutrients from natural pastures. RESULTS: The results indicated that dietary Cu deficiency and supplementation significantly reduced and elevated liver concentration of Cu, respectively (p < 0.05). FOXO3, PLIN1, ACTN2, and GHRHR were identified as critical genes using the weighted gene co-expression network analysis (WGCNA), quantitative real-time polymerase chain reaction (qRT-PCR), and receiver operating characteristic curve (ROC) validation as potential biomarkers for evaluating Cu status in grazing sheep. Combining these critical genes with gene functional enrichment analysis, it was observed that dietary Cu deficiency may impair liver regeneration and compromise ribosomal function. Conversely, dietary Cu supplementation may enhance ribosomal function, promote lipid accumulation, and stimulate growth and metabolism in grazing sheep. Metabolomics analysis indicated that dietary Cu deficiency significantly decreased the abundance of metabolites such as cholic acid (p < 0.05). On the other hand, dietary Cu supplementation significantly increased the abundance of metabolites such as palmitic acid (p < 0.05). Integrative analysis of the transcriptome and metabolome revealed that dietary Cu deficiency may reduce liver lipid metabolism while Cu supplementation may elevate it in grazing sheep. CONCLUSIONS: The Cu content in diets may have an impact on hepatic lipid metabolism in grazing sheep. These findings provide new insights into the consequences of dietary Cu deficiency and supplementation on sheep liver and can provide valuable guidance for herders to rationalize the use of mineral supplements.

MultiClassMetabo: A Superior Classification Model Constructed Using Metabolic Markers in Multiclass Metabolomics.

Multiclass metabolomics has become a popular technique for revealing the mechanisms underlying certain physiological processes, different tumor types, or different therapeutic responses. In multiclass metabolomics, it is highly important to uncover the underlying biological information on biosamples by identifying the metabolic markers with the most associations and classifying the different sample classes. The classification problem of multiclass metabolomics is more difficult than that of the binary problem. To date, various methods exist for constructing classification models and identifying metabolic markers consisting of well-established techniques and newly emerging machine learning algorithms. However, how to construct a superior classification model using these methods remains unclear for a given multiclass metabolomic data set. Herein, MultiClassMetabo has been developed for constructing a superior classification model using metabolic markers identified in multiclass metabolomics. MultiClassMetabo can enable online services, including (a) identifying metabolic markers by marker identification methods, (b) constructing classification models by classification methods, and (c) performing a comprehensive assessment from multiple perspectives to construct a superior classification model for multiclass metabolomics. In summary, MultiClassMetabo is distinguished for its capability to construct a superior classification model using the most appropriate method through a comprehensive assessment, which makes it an important complement to other available tools in multiclass metabolomics. MultiClassMetabo can be accessed at http://idrblab.cn/multiclassmetabo/.

Association between three-dimensional morphological features and functional indicators of neovascular age-related macular degeneration.

PURPOSE: To investigate the correlation between morphological lesions and functional indicators in eyes with neovascular age-related macular degeneration (nAMD). METHODS: This was a prospective observational study of treatment-naïve nAMD eyes. Various morphological lesions and impaired retinal structures were manually measured at baseline and month-3 in three-dimensional optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) images, including the volumes (mm3) of macular neovascularization (MNV), avascular subretinal hyperreflective material (avascular SHRM), subretinal fluid (SRF), intraretinal fluid (IRF), serous pigment epithelial detachment (sPED) and the impaired area (mm2) of ellipsoid zone (EZ), external limiting membrane (ELM) and outer nuclear layer (ONL). RESULTS: Sixty-three eyes were included. The volume of avascular SHRM showed persistent positive associations with the area of EZ damage, both at baseline, month-3, and change values (all P < 0.001). Poor BCVA (month-3) was associated with larger volumes of baseline IRF (ß = 0.377, P < 0.001), avascular SHRM (ß = 0.306, P = 0.032), and ELM impairment area (ß = 0.301, P = 0.036) in multivariate model. EZ and ELM impairment were primarily associated with baseline avascular SHRM (ß = 0.374, p = 0.003; ß = 0.388, P < 0.001, respectively), while ONL impairment primarily associated with MNV (ß = 0.475, P < 0.001). CONCLUSION: The utilization of three-dimensional measurements elucidates the intrinsic connections among various lesions and functional outcomes. In particular, avascular SHRM plays an important role in prognosis of nAMD.

Adaptively leverage multiple real-world data sources for treatment effect estimation based on similarity.

The incorporation of real-world data (RWD) into medical product development and evaluation has exhibited consistent growth. However, there is no universally adopted method of how much information to borrow from external data. This paper proposes a study design methodology called Tree-based Monte Carlo (TMC) that dynamically integrates patients from various RWD sources to calculate the treatment effect based on the similarity between clinical trial and RWD. Initially, a propensity score is developed to gauge the resemblance between clinical trial data and each real-world dataset. Utilizing this similarity metric, we construct a hierarchical clustering tree that delineates varying degrees of similarity between each RWD source and the clinical trial data. Ultimately, a Gaussian process methodology is employed across this hierarchical clustering framework to synthesize the projected treatment effects of the external group. Simulation result shows that our clustering tree could successfully identify similarity. Data sources exhibiting greater similarity with clinical trial are accorded higher weights in treatment estimation process, while less congruent sources receive comparatively lower emphasis. Compared with another Bayesian method, meta-analytic predictive prior (MAP), our proposed method's estimator is closer to the true value and has smaller bias.

Analysis of Fluid Replacement in Two Fluidic Chambers for Oblique-Incidence Reflectivity Difference (OI-RD) Biosensor.

Optical biosensors have a significant impact on various aspects of our lives. In many applications of optical biosensors, fluidic chambers play a crucial role in facilitating controlled fluid delivery. It is essential to achieve complete liquid replacement in order to obtain accurate and reliable results. However, the configurations of fluidic chambers vary across different optical biosensors, resulting in diverse fluidic volumes and flow rates, and there are no standardized guidelines for liquid replacement. In this paper, we utilize COMSOL Multiphysics, a finite element analysis software, to investigate the optimal fluid volume required for two types of fluidic chambers in the context of the oblique-incidence reflectivity difference (OI-RD) biosensor. We found that the depth of the fluidic chamber is the most crucial factor influencing the required liquid volume, with the volume being a quadratic function of the depth. Additionally, the required fluid volume is also influenced by the positions on the substrate surface bearing samples, while the flow rate has no impact on the fluid volume.

Shape-Configurable Mesh for Hernia Repair by Synchronizing Anisotropic Body Motion.

Continuous progress has been made in elucidating the relationship between material property, device design, and body function to develop surgical meshes. However, an unmet need still exists wherein the surgical mesh can handle the body motion and thereby promote the repair process. Here, the hernia mesh design and the advanced polymer properties are tailored to synchronize with the anisotropic abdominal motion through shape configuration. The thermomechanical property of shape configurable polymer enables molding of mesh shape to fit onto the abdominal structure upon temperature shift, followed by shape fixing with the release of the heat energy. The microstructural design of mesh is produced through finite element modeling to handle the abdominal motion efficiently through the anisotropic longitudinal and transverse directions. The design effects are validated through in vitro, ex vivo, and in vivo mechanical analyses using a self-configurable, body motion responsive (BMR) mesh. The regenerative function of BMR mesh leads to effective repair in a rat hernioplasty model by effectively handling the anisotropic abdomen motion. Subsequently, the device-tissue integration is promoted by promoting healthy collagen synthesis with fibroblast-to-myofibroblast differentiation. This study suggests a potential solution to promote hernia repair by fine-tuning the relationship between material property and mesh design.

Downregulation of SIRT6 and NMNAT2 is associated with proliferative diabetic retinopathy.

Purpose: To determine the expression levels of SIRT6 and NMNAT2 in diabetic retinopathy (DR). Methods: We obtained peripheral blood mononuclear cells (PBMCs) and vitreous samples from 77 patients with type 2 diabetes mellitus: 52 with DR and 25 without DR, and 27 healthy control subjects. Western blot analysis and qRT-PCR were performed to evaluate the expression of SIRT6 and NMNAT2 in their PBMCs. The levels of IL-1ß, IL-6, and TNF-α in the vitreous fluid were determined by ELISA. Immunohistochemistry was performed to detect the expression of SIRT6 and NMNAT2 in proliferative DR (PDR) and the control subjects. Results: The expression of SIRT6 and NMNAT2 was markedly downregulated in DR patients, which was negatively correlated with the increased expression of IL-1ß, IL-6 and TNF-α. Additionally, we observed decreased expression of SIRT6 and NMNAT2 in the fibrovascular membranes of PDR patients. Conclusions: The downregulated expression of SIRT6 and NMNAT2 in PDR patients reveals a potential pathogenic association; more extended studies could verify them as potential therapeutic targets.

SOLITARY PUNCTATE CHORIORETINITIS: A Unique Subtype of Punctate Inner Choroidopathy.

PURPOSE: To describe a case series of a special subtype of punctate inner choroidopathy with solitary lesions in the macular area and named solitary punctate chorioretinitis. METHODS: This retrospective observational study clinically evaluated 12 eyes from 12 patients diagnosed as punctate inner choroidopathy with solitary lesions. Demographic data and multimodal imaging features were analyzed for the included patients. RESULTS: All the included patients were Chinese and of Han ethnicity. The median age of the included patients was 29.5 years (range: 25-40 years). Most patients (11/12, 91.67%) were myopic, with median refraction errors of -4.4 diopters (D) (range: -8.5 to 0 D). Solitary chorioretinitis lesions were yellow‒white and appeared hyperfluorescent during the entire phase of fundus fluorescein angiography without leakage (9/12, 75%) and hypofluorescent on indocyanine green angiography (11/11, 100%). On spectral domain optical coherence tomography, active inflammatory lesions appeared as isolated, heterogeneous, moderately reflective material at the outer retina (10/12, 83.33%) in the fovea or parafoveal region with disruption of the outer retinal layers. When the inflammatory lesions regressed, the moderately reflective materials in the outer retina were absorbed or regressed with outer retinal tissue loss. Additional sequelae of lesion regression included focal choroidal excavation and intraretinal cystoid space. Secondary choroidal neovascularization was noticed in 2 eyes (2/12, 16.67%). CONCLUSION: Solitary punctate chorioretinitis is a rare and unique subtype of punctate inner choroidopathy. Solitary punctate chorioretinitis may also be an unrecognized etiology of some forms of focal choroidal excavation and idiopathic choroidal neovascularization.

Genetic abnormalities assist in pathological diagnosis and EBV-positive cell density impact survival in Chinese angioimmunoblastic T-cell lymphoma patients.

Objective: To explore the application of genetic abnormalities in the diagnosis of angioimmunoblastic T-cell lymphoma (AITL) and the reliable pathological prognostic factors. Methods: This study included 53 AITL cases, which were reviewed for morphological patterns, immunophenotypes, presence of Hodgkin and Reed-Sternberg (HRS)-like cells, and co-occurrence of B cell proliferation. The Epstein-Barr virus (EBV)-positive cells in tissues were counted, and cases were classified into "EBV encoded RNA (EBER) high-density" group if >50/HPF. Targeted exome sequencing was performed. Results: Mutation data can assist AITL diagnosis: 1) with considerable HRS-like cells (20 cases): RHOA mutated in 14 cases (IDH2 co-mutated in 3 cases, 4 cases with rare RHOA mutation), TET2 was mutated in 5 cases (1 case co-mutated with DNMT3A), and DNMT3A mutated in 1 case; 2) accompanied with B cell lymphoma (7 cases): RHOA mutated in 4 cases (1 case had IDH2 mutation), TET2 mutated in 2 cases and DNMT3A mutated in 1 case; 3) mimic peripheral T cell lymphoma, not otherwise specified (5 cases): RHOA mutated in 2 cases (IDH2 co-mutated in 1 case), TET2 mutated in 3 cases, and DNMT3A mutated in 1 case; 4) pattern 1 (1 case), RHOA and TET2 co-mutated. Besides RHOAG17V (30/35), rare variant included RHOAK18N, RHOAR68H, RHOAC83Y, RHOAD120G and RHOAG17del, IDH2R172 co-mutated with IDH2M397V in one case. There were recurrent mutations of FAT3, PCLO and PIEZO1 and genes of epigenetic remodeling, T-cell activation, APC and PI3K/AKT pathway. EBER high-density independently indicated adverse overall survival and progression-free survival (P=0.046 and P=0.008, Kaplan-Meier/log-rank). Conclusions: Over half AITL cases might be confused in diagnosis for certain conditions without mutation data. Targeted exome sequencing with a comprehensive panel is crucial to detect both hot-spot and rare mutation variants for RHOA and IDH2 and other recurrent mutated genes in addition to TET2 and DNMT3A. EBER high-density independently indicated adverse survival.

Clinical implications of circulating tumor DNA in predicting the outcome of diffuse large B cell lymphoma patients receiving first-line therapy.

BACKGROUND: Circulating tumor DNA (ctDNA) has been proven to be a promising tumor-specific biomarker in solid tumors, but its clinical utility in risk stratification and early prediction of relapse for diffuse large B cell lymphoma (DLBCL) has not been well explored. METHODS: Here, using a lymphoma-specific sequencing panel, we assessed the prognostic and predictive utilities of ctDNA measurements before, during, and after first-line therapy in 73 Chinese DLBCL patients. RESULTS: The pretreatment ctDNA level serving as an independent prognostic factor for both progression-free survival (PFS, adjusted HR 2.47; p = 0.004) and overall survival (OS, adjusted HR 2.49; p = 0.011) was confirmed in our cohort. Furthermore, the patients classified as molecular responders who presented a larger decrease in ctDNA levels after the initial two treatment cycles had more favorable PFS (unreached vs. 6.25 months; HR 5.348; p = 0.0015) and OS (unreached vs. 25.87; HR 4.0; p = 0.028) than non-responders. In addition, interim ctDNA clearance may be an alternative noninvasive method of positron emission tomography and computed tomography (PET-CT) for predicting better PFS (HR 3.65; p = 0.0033) and OS (HR 3.536; p = 0.016). We also demonstrated that posttreatment ctDNA was a sensitive indicator for detecting minimal residual disease (MRD) in patients with a high risk of recurrence (HR 6.471; p = 0.014), who were otherwise claimed to achieve radiographic CR (complete remission). CONCLUSIONS: CtDNA is a promising noninvasive tool for prognosis prediction, response assessment, and early relapse prediction of first-line treatment in DLBCL patients.

Ibrutinib combined with low-dose histone deacetylases inhibitor chidamide synergistically enhances the anti-tumor effect in B-cell lymphoma.

Aberrant activity of histone deacetylases (HDACs) is frequently detected in B-cell lymphomas, which indicated the therapeutic implications of HDAC inhibitors for B-cell malignancies. We have discovered that lymphoma cells treated with HDAC inhibitor presented with activation of Bruton tyrosine kinase (BTK) which played an important role in the development of B-cell malignancies. Therefore, our study intended to explore whether the addition of ibrutinib (BTK inhibitor) to chidamide (HDAC inhibitor) could generate combined anti-tumor effects in B-cell lymphomas. Using cell viability assay, cell cycle and apoptosis kit, we demonstrated an evident synergistic action of ibrutinib and chidamide in inhibiting tumor cell proliferation and motility. Consistent with in vitro data, the synergistic anti-tumor effects were also observed in multiple tumor-bearing mice models. By performing RNA-seq and flow cytometry of tumor tissue, the enhancement of anti-tumor immunity was observed with the co-treatment of chidamide and ibrutinib. Together, these mechanistic insights indicated that simultaneously targeting BTK and HDAC could be a promising clinical therapy for B-cell lymphomas.

Anti-CD47 immunotherapy in combination with BCL-2 inhibitor to enhance anti-tumor activity in B-cell lymphoma.

CD47 expressed on cancer cells enables macrophage immune evasion. Blocking CD47 using anti-CD47 monoclonal antibodies (mAbs) is a promising strategy. The anti-CD47 mAb TJC4 has anti-tumor activity but lacks hematological toxicity. Venetoclax, a B-cell lymphoma 2 (BCL-2) inhibitor for B-cell malignancy, induces phosphatidylserine (PS) extracellular exposure, representing an "eat-me" signal for macrophages. The present study aimed to explore whether TJC4-Venetoclax combined therapy exerts synergistic anti-cancer properties in B-cell lymphoma. In vitro, flow cytometry and microscopy assessed whether TJC4 monotherapy or combination treatment could promote macrophage-mediated phagocytosis of tumor cells. Induced PS exposure on the cell membrane was measured using flow cytometry with Annexin V-FITC staining. In vivo, Venetoclax and TJC4's synergistic anti-tumor effects were evaluated. B cell lymphoma cell lines express high levels of CD47 and patients with diffuse large B cell lymphoma expressing CD47 have a worse clinical prognosis. TJC4 eliminates tumor cells via macrophage-mediated phagocytosis. In vitro and in vivo, the TJC4-Venetoclax combination increased phagocytosis significantly compared with either agent alone, showing synergistic phagocytosis, and displayed synergistic anti-cancer properties in B-cell lymphoma. Our results support the TJC4-Venetoclax combination as a promising therapy, and suppressing BCL-2 and CD47 simultaneously could represent a novel therapeutic paradigm for B-cell lymphoma.

Comparison analysis of first-line asparaginase- versus non-asparaginase-based regimens for early-stage extranodal NK/T-cell lymphoma.

The present study investigated the efficacy and toxicity profile of first-line asparaginase (ASP)-based versus non-ASP-based regimens in treating early-stage extranodal NK/T-cell lymphoma (ENKTCL) in non-anthracycline therapy era. This multi-center, real-world retrospective study consisted 305 newly diagnosed localized ENKTCL patients who were treated with sequential chemoradiation between 2010 and 2020 in China: 190 cases received ASP-based regimens and 115 cases received non-ASP-based regimens. Propensity score matching and multivariable analyses were used to compare survivals and toxicities between the two treatment groups. Non-ASP-based regimens achieved comparable survivals compared with ASP-based regimens in the entire cohort. The 5-year overall survival (OS), progression-free survival (PFS) rates were 84.7% and 73.5% for non-ASP-based regimens, and 87.7% (P=0.464) and 74.6% (P=0.702) for ASP-based regimens. The non-inferior survivals of non-ASP-based regimens were consistent after adjustment using PSM and multivariable analyses. However, survival benefits of ASP varied in different treatment modalities. Among patients receiving sequential chemotherapy and radiation (CT+RT±CT), ASP-based regimens achieved higher complete remission rate (54.3 vs. 34.5%, P=0.047) and more favorable survivals compared with non-ASP-based regimens (5-year OS, 87.0 vs. 69.0%, P=0.028). However, for patients receiving sequential radiation and chemotherapy (RT+CT), non-ASP-based regimens achieved comparable favorable survivals as ASP-based regimens. Besides, liver injury, malnutrition, and coagulative dysfunction were significantly more commonly documented in ASP-based regimens. These findings suggested that ASP was an effective agent in treating ENKTCL, especially among those receiving induction CT and RT. For patients who received upfront RT, non-ASP-based regimens might be a comparably effective and more tolerable treatment option.

The Serum- and Glucocorticoid-Inducible Kinase 1 (SGK1) as a Novel Therapeutic Target in Mantle Cell Lymphoma.

INTRODUCTION: Mantle cell lymphoma (MCL) is an aggressive and incurable B-cell-derived malignant disease. MCL is treated using general chemotherapy; however, disease progression and relapse are common; thus, the development of novel therapeutic targets for treatment of MCL is urgently required. Serum- and glucocorticoid-inducible kinase 1 (SGK1) is involved in various cellular activities, and its dysregulation contributes to the pathogenesis of multiple types of cancer. However, little is known regarding its functional roles and associated molecular mechanisms in MCL. METHODS: SGK1 inhibition mediated by either shRNA or treatment with SGK1 inhibitor (GSK650394) was conducted in MCL cell lines. Western blotting analysis was performed to figure out the expression of related proteins. MCL-cell-derived xenograft models were constructed to evaluate the anti-tumor effects of SGK1 inhibition or/and Bruton's tyrosine kinase (BTK) inhibition in vivo. RESULTS: In this study, it was shown that inhibition of SGK1 significantly reduced cell proliferation, invasion and migration, increased apoptosis and blocked cell cycle progression in MCL cells. Furthermore, SGK1 inhibition significantly reduced the activation of ERK, AKT/mTOR, JAK2/STAT3 and the NF-κB signaling pathways. Using MCL-cell-derived xenograft mice models, SGK1 inhibition decreased tumor cell proliferation and tumor growth. Importantly, SGK1 overexpression significantly promoted xenograft tumor growth. Moreover, simultaneous inhibition of SGK1 and Bruton tyrosine kinase (BTK) resulted in synergistic anti-tumor effects on MCL both in vitro and in vivo. CONCLUSION: SGK1 may be a novel candidate therapeutic target and simultaneous inhibition of SGK1 and BTK may be a promising therapeutic strategy for MCL patients. Further pre-clinical and even clinical studies of SGK1 inhibitor or combination with BTK inhibitor are essential.

Label-free detection and quantification of ultrafine particulate matter in lung and heart of mouse and evaluation of tissue injury.

While it is known that air borne ultrafine particulate matter (PM) may pass through the pulmonary circulation of blood at the alveolar level between lung and heart and cross the air-blood barrier, the mechanism and effects are not completely clear. In this study the imaging method fluorescence lifetime imaging microscopy is adopted for visualization with high spatial resolution and quantification of ultrafine PM particles in mouse lung and heart tissues. The results showed that the median numbers of particles in lung of mice exposed to ultrafine particulate matter of diameter less than 2.5 µm was about 2.0 times more than that in the filtered air (FA)-treated mice, and about 1.3 times more in heart of ultrafine PM-treated mice than in FA-treated mice. Interestingly, ultrafine PM particles were more abundant in heart than lung, likely due to how ultrafine PM particles are cleared by phagocytosis and transport via circulation from lungs. Moreover, heart tissues showed inflammation and amyloid deposition. The component analysis of concentrated airborne ultrafine PM particles suggested traffic exhausts and industrial emissions as predominant sources. Our results suggest association of ultrafine PM exposure to chronic lung and heart tissue injuries. The current study supports the contention that industrial air pollution is one of the causative factors for rising levels of chronic pulmonary and cardiac diseases.

The role of infant attention and parental sensitivity in infant cognitive development in the Netherlands and China.

Infant attention and parental sensitivity are important predictors of later child executive function (EF). However, most studies have investigated infant and parent factors in relation to child EF separately and included only mothers from Western samples. The current study examined whether both infant attention at 4 months and parental sensitivity at 4 and 14 months were related to infant EF (i.e., inhibition, working memory, and cognitive flexibility) at 14 months among 124 Dutch and 63 Chinese first-time mothers and fathers and their infants. Findings revealed that parental sensitivity at 4 months was not correlated with infant EF abilities at 14 months. However, infant attention at 4 months was significantly related to 14-month working memory, but not to inhibition and cognitive flexibility. Maternal sensitivity at 14 months was significantly related to 14-month inhibition, but not to working memory and cognitive flexibility. No country differences were found in the relation among 4-month infant attention, parental sensitivity, and EF outcomes. Results show that both infant and parent factors are associated with early EF development and that these correlates of early EF skills may be similar in Western and non-Western samples.

Impact of relative dose intensity of R-CCOP regimen in elderly patients with diffuse large B-cell lymphoma in China.

BACKGROUND: The actual relative dose intensity (RDI) of the attenuated R-CCOP regimen (rituximab, cytoxan, pegylated liposomal doxorubicin [PLD], vincristine, and prednisone) has not been fully investigated in Chinese geriatric patients with diffuse large B-cell lymphoma (DLBCL). In particular, the optimum dose for PLD remains unclear. METHODS: We retrospectively collected clinical data from patients with untreated DLBCL aged 65-80 years subsequently treated with the R-CCOP. The restricted cubic spline model (RCS) was used to test the non-linear relationship between the predictors and outcomes. RESULTS: Eighty-four patients were enrolled, with a median age of 73.5 years. More than half of the patients (54.8%) received at least 6 cycles. The median dose per cycle of cytoxan and PLD were 605.5 and 19.9 mg/m2. The 5-year progression-free survival (PFS), overall survival rate, and disease-specific survival rates were 38.7%, 44.8%, and 57.2%, respectively. The RDI of PLD (PLD-RDI, <70% vs ≥ 70%) was only significant in the univariate analysis (P = 0.002) but not in the multivariate analysis. The RCS model showed a decreasing trend of hazards with an increasing PLD dose per cycle after adjustment. No significant difference was observed between the low- and high-risk groups with PLD-RDI ≥ 70% (P = 0.548). However, patients in the high-risk group had unfavorable PFS with PLD-RDI < 70% (P = 0.006). CONCLUSION: The optimal dose of PLD for elderly patients with DLBCL in China remains to be determined. Evaluating the tolerance and identifying risk categories are critical for clinical decision-making in this population.