Which factors are associated with adverse prognosis in multiple myeloma patients after surgery? - preliminary establishment and validation of the nomogram.

BACKGROUND: To investigate the prognosis of patients with Multiple Myeloma (MM) after surgery, analyze the risk factors leading to adverse postoperative outcomes, and establish a nomogram. METHODS: Clinical data from 154 patients with MM who underwent surgery at our institution between 2007 and 2019 were retrospectively analyzed. Assessing and comparing patients' pain levels, quality of life, and functional status before and after surgery (P < 0.05) were considered statistically significant. The Kaplan-Meier survival curve was used to estimate the median survival time. Adverse postoperative outcomes were defined as worsened symptoms, lesion recurrence, complication grade ≥ 2, or a postoperative survival period < 1 year. Logistic regression analysis was used to determine the prognostic factors. Based on the logistic regression results, a nomogram predictive model was developed and calibrated. RESULTS: Postoperative pain was significantly alleviated in patients with MM, and there were significant improvements in the quality of life and functional status (P < 0.05). The median postoperative survival was 41 months. Forty-nine patients (31.8%) experienced adverse postoperative outcomes. Multivariate logistic regression analysis identified patient age, duration of MM, International Staging System, preoperative Karnofsky Performance Status, and Hb < 90 g/L as independent factors influencing patient prognosis. Based on these results, a nomogram was constructed, with a C-index of 0.812. The calibration curve demonstrated similarity between the predicted and actual survival curves. Decision curve analysis favored the predictive value of the model at high-risk thresholds from 10% to-69%. CONCLUSION: This study developed a nomogram risk prediction model to assist in providing quantifiable assessment indicators for preoperative evaluation of surgical risk.

Myeloma extracellular vesicle-derived RAGE increases inflammatory responses and myotube atrophy in multiple myeloma through activation of the TLR4/NF-κB p65 pathway.

Sarcopenia manifests as muscle atrophy and loss that is complicated with malignancy. This study explored the mechanism of extracellular vesicles (EVs) in multiple myeloma (MM) with sarcopenia. SP2/0 conditioned medium (CM) was collected to isolate SP2/0-EVs. C2C12 cells were incubated with SP2/0 CM or SP2/0-EVs. ROS, TNF-α, IL-6, MuRF1 and MyHC levels were detected by DCF-DA fluorescent probe, ELISA, and Western blot. GW4869 was used to inhibit EV secretion in SP2/0 to confirm its effect on muscle atrophy. Serum was collected from MM patients with or without sarcopenia to detect RAGE mRNA expression. SP2/0 cells were transfected with RAGE siRNA and C2C12 cells were treated with the isolated si-RAGE-EVs or/and TLR4 agonist. SP2/0 tumor-bearing mouse model was established. Healthy mice and SP2/0-tumor bearing mice were treated with SP2/0-EVs or si-RAGE-EVs. SP2/0 CM or SP2/0-EVs stimulated ROS, inflammatory responses, and myotube atrophy in C2C12 cells. GW4869 blocked EV secretion and the effects of SP2/0 CM. RAGE mRNA expression in serum EVs was increased in MM&Sarcopenia patients and RAGE knockdown in SP2/0-EVs partially nullified SP2/0-EVs' effects. SP2/0-EVs activated the TLR4/NF-κB p65 pathway by translocating RAGE. SP2/0-EVs-derived RAGE elevated ROS production, inflammation, and myotube atrophy in C2C12 cells and caused muscle loss in SP2/0 tumor-bearing mice by activating the TLR4/NF-κB p65 pathway. SP2/0-EVs partially recapitulated muscle loss in healthy mice. SP2/0-EVs-derived RAGE increased ROS production, inflammation, and myotube atrophy in MM through TLR4/NF-κB p65 pathway activation.

Biological research on the occurrence and development of multiple myeloma and its treatment.

INTRODUCTION: To review the pathogenesis and treatment of multiple myeloma (MM). MM is a hematological malignancy with abnormal plasma cell proliferation in bone marrow. Due to the emergence of drug resistance, MM is still an incurable malignancy, which requires further exploration of pathogenesis and effective therapeutic targets. METHODS: In this paper, the method of literature review is adopted to obtain the information about MM. Based on the literature, comprehensive and systematic review is made. RESULTS: MM is a complex pathophysiological process with great heterogeneity, mainly reflected in genomic instability and bone marrow microenvironment. At present, the treatment of MM has made great progress, proteasome inhibitors and immunomodulatory drugs are widely used in clinic. Allogeneic stem cell transplantation may be the only promising cure for MM, and its high transplant-related mortality limits its clinical application. CONCLUSIONS: The future of MM treatment lies in the development of more targeted therapies, novel immunotherapies, and a better understanding of the disease's molecular and genetic basis.

Investigation of the Underlying Mechanism of Sclerosteosis Expression in Muscle Tissue in Multiple Myeloma with Sarcopenia.

Objective: To explore the role of sclerosteosis (SOST) gene expression in the occurrence and development of multiple myeloma (MM) complicated with sarcopenia. Methods: Analysis of the SOST expression in skeletal muscle tissue of patients with MM using high-throughput sequencing combined with transcriptomics; observation of morphological changes of the mouse C2C12 myoblasts co-cultured with SP2/0 myeloma cells in Transwell; observation of the SOST expression in the C2C12 myoblasts using the immunofluorescence labeling method; and assessment of the changes in exercise capacity of mice with MM using ethology; and the measurement of the SOST expression in muscles of mice using immunohistochemistry. Results: The transcription level of the SOST gene in the muscle tissue was significantly higher in patients with MM and sarcopenia than in patients with MM without sarcopenia and elderly patients with sarcopenia; the area of C2C12 mouse myoblasts co-cultured with SP2/0 myeloma cells was 167,904 ± 8653.7 pix; this was significantly lower than the area of 402,994 ± 13,575.0 pix in the control group (CG); the fluorescence intensity of SOST in the cells of the experimental group (EG) was 159,389 ± 10,534 AU; this was significantly higher than the intensity of 26,338 ± 6059 AU in the CG; the differences in results of the coat-hanger test, the tail suspension test, the weight-bearing forced swimming test, and the grip strength test between the tumor-bearing mice in the EG and the CG were statistically significant; and the quantitative result of SOST expression in the muscle tissue of the EG mice was 11,515 ± 1573 pix; this was significantly higher than the result of 3399 ± 798.8 pix in the CG. Conclusion: The SOST gene expression was significantly higher in muscle of mice in EG than in CG; and increased SOST gene expression might be a pathogenesis of MM complicated with sarcopenia.

Exosomal proteomics identifies RAB13 as a potential regulator of metastasis for HCC.

BACKGROUND: Exosomal proteins from cancer cells are becoming new biomarkers for cancer monitoring and efficacy evaluation. However, their biological function and molecular mechanism underlying tumor metastasis are largely unknown. METHODS: Bioinformatic methods such as bulk gene expression analysis, single-cell RNA sequencing data analysis, and gene set enrichment analysis were employed to identify metastasis-associated proteins. The in vitro and in vivo experiments were used to investigate the function of RAB13 in HCC metastasis. RESULTS: We identified RAB13 as one of the critical regulators of metastasis in HCC-derived exosomes for the first time. In vitro, the invasiveness of HCC cell lines could be attenuated by RAB13 silence. In vivo, tumor size and proportion of high-grade lung metastatic nodule could be reduced in the mice with orthotopic transplantation of tumors and intravenously injected with exosomes derived from MHCC97H cell with RAB13 silence (si-RAB13-Exo), as compared with those without RAB13 silence (si-NC-Exo). Moreover, in si-RAB13-Exo group, circulating tumor cell counts were decreased at the third, fourth, and fifth weeks after orthotopic transplantation of tumors, and MMP2 (matrix metalloproteinase 2)/TIMP2 (tissue inhibitor of metalloproteinases 2) ratio was also significantly decreased. In addition, RAB13 expression was also associated with VEGF levels, microvessel density, and tube formation of vascular endothelial cells by both in vitro and in vivo models, indicating that RAB13 was associated with angiogenesis in HCC. CONCLUSIONS: We have demonstrated exosomal RAB13 as a potential regulator of metastasis for HCC by in silico, in vitro, and in vivo methods, which greatly improve our understanding of the functional impact of exosomal proteins on HCC metastasis.

A clinically feasible circulating tumor cell sorting system for monitoring the progression of advanced hepatocellular carcinoma.

BACKGROUND: Hematogenous metastasis is essential for the progression of advanced hepatocellular carcinoma (HCC) and can occur even after patients receive multidisciplinary therapies, including immunotherapy and hepatectomy; circulating tumor cells (CTCs) are one of the dominant components of the metastatic cascade. However, the CTC capture efficiency for HCC is low due to the low sensitivity of the detection method. In this study, epithelial cell adhesion molecule (EpCAM)/vimentin/Glypican-3 (GPC3) antibody-modified lipid magnetic spheres (LMS) were used to capture tumor cells with epithelial phenotype, mesenchymal phenotype and GPC3 phenotype, respectively, in order to capture more CTCs with a more comprehensive phenotype for monitoring tumor metastasis. RESULTS: The novel CTC detection system of Ep-LMS/Vi-LMS/GPC3-LMS was characterized by low toxicity, strong specificity (96.94%), high sensitivity (98.12%) and high capture efficiency (98.64%) in vitro. A sudden increase in CTC counts accompanied by the occurrence of lung metastasis was found in vivo, which was further validated by a clinical study. During follow-up, the rapid increase in CTCs predicted tumor progression in HCC patients. Additionally, genetic testing results showed common genetic alterations in primary tumors, CTCs and metastatic tissues. The proportion of patients predicted to benefit from immunotherapy with the CTC detection method was higher than that for the tissue detection method (76.47% vs. 41.18%, P = 0.037), guiding the application of clinical individualized therapy. CONCLUSIONS: The Ep-LMS/Vi-LMS/GPC3-LMS sequential CTC capture system is convenient and feasible for the clinical prediction of HCC progression. CTCs captured by this system could be used as a suitable alternative to HCC tissue detection in guiding immunotherapy, supporting the clinical application of CTC liquid biopsy.

In vivo antitumor efficacy of 17-AAG loaded PMMA in a human multiple myeloma xenograft mouse model.

Multiple myeloma (MM) is a monoclonal malignancy characterized by abnormal proliferation of plasma cells. The disease clinically manifests as anemia, hypercalcemia, renal insufficiencies, and osteolytic damage. Osteolytic damage goes with severe bone pain, spinal instability, and pathological fracture, symptoms that are collectively referred to as multiple myeloma bone disease (MMBD). Polymethylmethacrylate (PMMA) bone cement is widely used for bone repair after MMBD surgery, owing to its excellent biomechanical properties and fast curing. To date, however, efficacy of drug-loading PMMA in inhibition of tumor growth and angiogenesis remains unknown. Here, we report that 17-AAG-loaded PMMA bone cement inhibits MM growth in vivo and suppresses tumor diffusion to peripheral tissues. In addition, 17-AAG-loaded PMMA promotes MM apoptosis by downregulating Bax and active Caspase-3.

Significance of preoperative peripheral blood neutrophil-lymphocyte ratio in predicting postoperative survival in patients with multiple myeloma bone disease.

BACKGROUND: The neutrophil-lymphocyte ratio (NLR) is often used to predict a poor prognosis in patients with tumors. This study investigated the preoperative peripheral blood NLR in predicting postoperative survival (POS) in patients with multiple myeloma bone disease (MMBD). AIM: To evaluate whether NLR can be used to predict the prognosis of MMBD patients after surgery. METHODS: The clinical data of 82 MMBD patients who underwent surgical treatments in Beijing Chao-yang Hospital were collected. The NLR was obtained from the absolute number of neutrophils and lymphocytes, calculated by the number of neutrophils and divided by the number of lymphocytes. The peripheral blood lymphocyte percentage was used as the major marker to analyze the change in characteristics of the immune statuses of multiple myeloma patients. RESULTS: The NLR cut-off values of NLR ≥ 3 patients and NLR ≥ 4 patients were significantly correlated with POS. The 3- and 5-year cumulative survival rates of the high NLR group (NLR ≥ 3 patients) were 19.1% and 0.0%, respectively, which were lower than those of the low NLR group (NLR < 3 patients) (67.2% and 48.3%) (P = 0.000). In the high NLR group, POS (14.86 ± 14.28) was significantly shorter than that in the low NLR group (32.68 ± 21.76). Univariate analysis showed that the lymphocyte percentage 1 wk after the operation (19.33 ± 9.08) was significantly lower than that before the operation (25.72 ± 11.02). Survival analysis showed that postoperative chemotherapy, preoperative performance status and preoperative peripheral blood NLR ≥ 3 were independent risk factors for POS. CONCLUSION: The preoperative peripheral blood NLR can predict POS in MMBD patients. MMBD patients with a high preoperative NLR (NLR ≥ 3) showed poor prognosis.

Paraplegia secondary to disseminated mucormycosis: case report and literature review.

BACKGROUND: We report a case of spine infection with mucormycosis that manifested signs of paraplegia in a patient suffering from disseminated mucormycosis. Timely and effective surgery was performed. A review of the literature is included. CASE PRESENTATION: A patient with diabetic ketoacidosis complained of back pain and fatigue for one month, and his right lower extremity activity had been limited for 10 days. T4-T6 vertebral and paravertebral soft tissue-involved infections were identified by MRI, which were derived from right lung pneumonia. He underwent abscess debridement, spinal canal decompression, pedicle screw fixation and amphotericin B liposome injection. Histopathological examination revealed broad aseptate hyphae suggestive of invasive mucormycosis. There was improvement in neurological function after surgical and medical treatment. Three months after the surgery, the patient died of uncontrollable massive bleeding of the urinary system. Mucormycosis is characterized by rapid development and a high mortality rate. This case shows the significance of a multidisciplinary team in the diagnosis and treatment of patients with mucormycosis. In addition, orthopedic surgeons should design appropriate surgery plans for spine-involved mucormycosis patients. CONCLUSION: This case present a patient with paraplegia caused by the spread of pulmonary mucormycosis to the vertebral and paravertebral soft tissue of levels T4-T6. After medical treatment, surgical debridement and internal fixation, the patient recovered well but later patient died of possible disease dissemination to the renal or urinary tract which resulted in massive haemorrhage.

Electrochemical Oxidative C-H Arylation of Quinoxalin(on)es with Arylhydrazine Hydrochlorides under Mild Conditions.

A practical and scalable protocol for electrochemical arylation of quinoxalin(on)es with arylhydrazine hydrochlorides under mild conditions has been developed. This method exhibits high efficiency, easy scalability, and broad functional group tolerance. Various quinoxalin(on)es and arylhydrazines underwent this transformation smoothly in an undivided cell, providing the corresponding aryl-substituted quinoxalin(on)es in moderate to good yields. A radical mechanism is involved in this arylation reaction.

Preliminary establishment of a spinal stability scoring system for multiple myeloma.

BACKGROUND: Multiple myeloma is an incurable malignant plasma cell disorder that represents the most common primary malignant bone tumor. It commonly involves bone metastasis in multiple vertebral bodies, and the Spinal Instability Neoplastic Score scoring system may not be fully applicable to multiple myeloma (MM) patients. AIM: To evaluate the spinal stability of patients with MM spinal involvement to guide their clinical treatment. METHODS: By using the Delphi method, we collected and extracted information through a series of questionnaires and improved it via feedback. We also preliminarily established a spinal stability scoring system for multiple myeloma. RESULTS: Fifteen clinicians completed a second round of questionnaires and compared their answers with those of the first round of questionnaires to identify significant comments or changes that required group discussions. As a result, no further feedback was used to improve the scoring system. After integrating the information from the expert consultation questionnaire, we established the initial scoring system for MM spine stability and used the scoring system to assess a series of representative clinical cases. The MM spinal stability scoring system was created by calculating the scores of the six separate components: location, pain, number of segments, physiological curvature, comorbidities, and neurological function. The minimum value was "0", and the maximum value was "24". A score of "0-10" indicated "spine stability", a score of "11-17" indicated "potential instability", and a score of "18-24" indicated "spine instability". Patients with a score of "11-24" need an intervention such as surgery. CONCLUSION: The initial establishment of the MM spine stability scoring system provides a vital theoretical basis for the evaluation of spine stability in individuals with MM.

Deep Learning-Based CT Imaging in Diagnosing Myeloma and Its Prognosis Evaluation.

Imaging examination plays an important role in the early diagnosis of myeloma. The study focused on the segmentation effects of deep learning-based models on CT images for myeloma, and the influence of different chemotherapy treatments on the prognosis of patients. Specifically, 186 patients with suspected myeloma were the research subjects. The U-Net model was adjusted to segment the CT images, and then, the Faster region convolutional neural network (RCNN) model was used to label the lesions. Patients were divided into bortezomib group (group 1, n = 128) and non-bortezomib group (group 2, n = 58). The biochemical indexes, blood routine indexes, and skeletal muscle of the two groups were compared before and after chemotherapy. The results showed that the improved U-Net model demonstrated good segmentation results, the Faster RCNN model can realize the labeling of the lesion area in the CT image, and the classification accuracy rate was as high as 99%. Compared with group 1, group 2 showed enlarged psoas major and erector spinae muscle after treatment and decreased bone marrow plasma cells content, blood M protein, urine 24 h light chain, pBNP, ß-2 microglobulin (ß2MG), ALP, and white blood cell (WBC) levels (P < 0.05). In conclusion, deep learning is suggested in the segmentation and classification of CT images for myeloma, which can lift the detection accuracy. Two different chemotherapy regimens both improve the prognosis of patients, but the effects of non-bortezomib chemotherapy are better.

Uncover Single Nanoparticle Dynamics on Live Cell Membrane with Data-Driven Historical Experience Analysis.

Understanding the spatiotemporal dynamics of particles in a complex biological environment is crucial for the study of related biological processes. To analyze the complicated trajectories recorded from single-particle tracking (SPT), we have proposed a method named SEES based on historical experience vector analysis, which allows both the global patterns and local state continuities of a trajectory to emerge by themselves as color segments without predefined models. This method implements a data-driven strategy and thus uncovers the hidden information with less prior knowledge or subjective bias. Here, we demonstrate its efficiency by comparing its performance with the Hidden Markov model (HMM), one of the most widely used methods in time series processing. The results demonstrated that the SEES operator was more sensitive in identifying rare events and could utilize multivariable observations in the dynamic processes to uncover more details. We applied the method to analyze the dynamics of nanoparticles interacting with live cells expressing programmed death ligand 1 (PD-L1) on the membrane. The results showed that the SEES operator can successfully pinpoint the transmembrane rare events, visualize the on-membrane "Brownian searching" motion, and evaluate different dynamics among multiple trajectories. Furthermore, we found that the PD-L1 expression level on the cell membrane affected the rotation behavior of the nanoparticle as well as the cellular uptake efficiency. These findings enabled by SEES could potentially help the rational design of highly efficient nanocargoes.

Improved in vitro and in vivo properties of telmisartan in the co-amorphous system with hydrochlorothiazide: A potential drug-drug interaction mechanism prediction.

The aim of this study is to improve in vitro and in vivo properties of an antihypertensive poorly soluble drug Telmisartan (TEL) by co-amorphization with a pharmacologically relevant drug Hydrochlorothiazide (HCT), and to improve the stability of single amorphous drugs. Herein, TEL-HCT co-amorphous systems (CAMs) (1:1, 2:3, 1:2, 1:3) were prepared by solvent evaporation. The apparent solubility and the dissolution of TEL in the TEL-HCT CAM (1:3) were increased by 79 times and 10 times compared to crystalline TEL, which showed the optimal properties. Cmax and AUC0-48h value of TEL-HCT CAM (1:3) were 10-fold and 3-fold as the crystalline state. Moreover, TEL-HCT CAM (1:3) remained stable in 60 °C, 0 % RH (30 days), 40 °C, 75 % RH (90 days) and 25 °C, 0 % RH (180 days). Positive ΔTgs were observed in all CAMs, suggesting the existence of potential intermolecular force. Fourier Transform-Infrared and Raman spectra were used to further prove the drug-drug interaction and predict potential mechanisms. Therefore, in the strategy of combined medication, CAM provides a promising way to transfer drugs with poor properties into systems with enhanced dissolution, greater bioavailability, and stabilized amorphous state, which has been proven in this study.

Hematopoietic Progenitor Kinase1 (HPK1) Mediates T Cell Dysfunction and Is a Druggable Target for T Cell-Based Immunotherapies.

Ameliorating T cell exhaustion and enhancing effector function are promising strategies for the improvement of immunotherapies. Here, we show that the HPK1-NFκB-Blimp1 axis mediates T cell dysfunction. High expression of MAP4K1 (which encodes HPK1) correlates with increased T cell exhaustion and with worse patient survival in several cancer types. In MAP4K1KO mice, tumors grow slower than in wild-type mice and infiltrating T cells are less exhausted and more active and proliferative. We further show that genetic depletion, pharmacological inhibition, or proteolysis targeting chimera (PROTAC)-mediated degradation of HPK1 improves the efficacy of CAR-T cell-based immunotherapies in diverse preclinical mouse models of hematological and solid tumors. These strategies are more effective than genetically depleting PD-1 in CAR-T cells. Thus, we demonstrate that HPK1 is a mediator of T cell dysfunction and an attractive druggable target to improve immune therapy responses.

Polymorphisms of methalenetetrahydrofolate reductase in recurrent pregnancy loss: an overview of systematic reviews and meta-analyses.

PURPOSE: The aim is to summarize and evaluate current systematic reviews and meta-analyses on MTHFR polymorphisms in recurrent pregnancy loss (RPL). METHODS: We searched Pubmed and Embase databases and selected in form of PICOS (participants, interventions, comparisons, outcomes, and study design). Our methodology was registered on PROSPERO (CRD42017042762). Systematic reviews and meta-analyses containing primary studies were extracted for meta-analyses, along with their OR and 95%CI. We assessed the quality of the included studies using AMSTAR and OQAQ criteria. RESULTS: Eleven systematic reviews and meta-analyses were identified. C677T was significantly related to RPL overall in Allele (OR, 95%CI 1.43, 1.29-1.60), Recessive (OR, 95%CI 1.66, 1.42-1.95), and Homozygous (OR, 95%CI 2.08, 1.66-2.61). There was no correlation observed between A1298C and RPL, except for in Heterozygous (OR, 95%CI 1.62, 1.17-2.25). CONCLUSIONS: We identified a difference in the association between MTHFR C677T polymorphism and RPL, especially in Asian population. No significant correlation was found between A1298C and RPL.

Improving the Solubility, Dissolution, and Bioavailability of Ibrutinib by Preparing It in a Coamorphous State With Saccharin.

At present, coamorphous systems have attracted increasing interest in the pharmaceutical field owing to their enhanced stabilities, increased solubilities, and improved bioavailabilities compared with those of their pure amorphous and crystalline counterparts. In this study, a novel coamorphous solid form of ibrutinib (IBT) and saccharin (SAC) (1:1 molar ratio) was prepared through rotary vacuum evaporation and then characterized. Differential scanning calorimetry and X-ray powder diffraction indicated the formation of the coamorphous IBT-SAC after rotary vacuum evaporation. Compared with amorphous IBT, coamorphous IBT-SAC exhibited enhanced stability owing to the intermolecular interaction between IBT and SAC. Moreover, the solubility and dissolution of the coamorphous IBT-SAC were increased up to 4.0-7.7 times and 4.3 times, respectively, compared with those of its crystalline Form A. In addition to the superior behaviors of coamorphous IBT-SAC in vitro, the in vivo bioavailability study revealed notable increases in the Cmax and area under the curve0-t of the coamorphous form compared with those of its crystalline Form A. The current study demonstrates that the coamorphization of IBT and SAC presents a promising technology to overcome the limitations of solubility and stability that arise from IBT and can therefore contribute to a major improvement in the bioavailability of IBT.

Stability and Bioavailability Enhancement of Telmisartan Ternary Solid Dispersions: the Synergistic Effect of Polymers and Drug-Polymer(s) Interactions.

The purpose of this study was to investigate the synergistic effect of polymers and drug-polymer(s) interactions on the improved stability and bioavailability of telmisartan (TEL) ternary solid dispersions. As a water-insoluble drug, 40 and 160 mg doses of TEL tablets exhibited bioavailabilities of 42% and 58%, respectively. Through polymer screening, PVP K30 and/or Soluplus were selected and used at different concentrations to prepare TEL amorphous solid dispersions by solvent evaporation. Compared to pure TEL and TEL-PVP K30/Soluplus binary solid dispersions, TEL-PVP K30-Soluplus ternary solid dispersions demonstrated significant advantages, including higher dissolution (over 90% release at 60 min), better amorphous stability (physically stable in 90 days), and improved oral bioavailability (Cmax of 5535.819 ± 325.67 ng/mL and tmax of 1 h). These advantages were related to the complementarity of PVP K30 and Soluplus on TEL. PVP K30 had a better activity to solubilize TEL and achieved a high TEL initial concentration in dissolution media. Simultaneously, the ability of Soluplus to assist in the maintenance of supersaturation played an important role. PVP K30 and Soluplus together inhibited crystallization of the drug at different stages. The existence and intensity of drug-polymer interactions were also determined by DSC (Tg determination) and FT-IR. At the molecular level, a hypothesis was also proposed that the enhancements resulted from the contribution of the synergistic effect between PVP K30 and Soluplus. These results suggested that two polymers, in a combination and via a synergistic effect, could further enhance the bioavailability and amorphous stability of ternary solid dispersions.

Preparation, optimisation, and in vitro-in vivo evaluation of febuxostat ternary solid dispersion.

The research aimed to prepare febuxostat (FEB) solid dispersion through solvent evaporation. Optimised solid dispersion composed of FEB, polyvinylpyrrolidone (PVP K30) and poloxamer at a ratio of 1:3:3 was characterised. Powder X-ray diffraction (XRD) and differential scanning calorimetry (DSC) indicated FEB was transformed from crystalline into the amorphous state in solid dispersion and scanning electron microscopy (SEM) revealed the morphology. Fourier transform infrared spectroscopy (FT-IR) suggested the interactions formed between FEB and polymers. A remarkable increase was observed of the optimised formulation in saturation solubility, dissolution studies (96.17 ± 0.79% in pH 6.0), and bioavailability (Cmax 18.25 ± 2.44 vs. 7.72 ± 0.48 µg/mL and AUC0-∞ 53.62 ± 7.63 vs. 34.76 ± 2.45 µg·h/mL). Besides, the FEB solid dispersion showed great stability after 90 days storage. Thus, the present study supports the rationality of PVP K30 and poloxamer188 as co-carriers for the preparation of FEB solid dispersion.

Impact of aerosols on ice crystal size.

The interactions between aerosols and ice clouds represent one of the largest uncertainties in global radiative forcing from pre-industrial time to the present. In particular, the impact of aerosols on ice crystal effective radius (R ei), which is a key parameter determining ice clouds' net radiative effect, is highly uncertain due to limited and conflicting observational evidence. Here we investigate the effects of aerosols on R ei under different meteorological conditions using 9-year satellite observations. We find that the responses of R ei to aerosol loadings are modulated by water vapor amount in conjunction with several other meteorological parameters. While there is a significant negative correlation between R ei and aerosol loading in moist conditions, consistent with the "Twomey effect" for liquid clouds, a strong positive correlation between the two occurs in dry conditions. Simulations based on a cloud parcel model suggest that water vapor modulates the relative importance of different ice nucleation modes, leading to the opposite aerosol impacts between moist and dry conditions. When ice clouds are decomposed into those generated from deep convection and formed in situ, the water vapor modulation remains in effect for both ice cloud types, although the sensitivities of R ei to aerosols differ noticeably between them due to distinct formation mechanisms. The water vapor modulation can largely explain the difference in the responses of R ei to aerosol loadings in various seasons. A proper representation of the water vapor modulation is essential for an accurate estimate of aerosol-cloud radiative forcing produced by ice clouds.