Designing electrolytes and interphases for high-energy lithium batteries

High-energy and stable lithium-ion batteries are desired for next-generation electric devices and vehicles. To achieve their development, the formation of stable interfaces on high-capacity anodes and high-voltage cathodes is crucial. However, such interphases in certain commercialized Li-ion batteries are not stable. Due to internal stresses during operation, cracks are formed in the interphase and electrodes; the presence of such cracks allows for the formation of Li dendrites and new interphases, resulting in a decay of the energy capacity. In this Review, we highlight electrolyte design strategies to form LiF-rich interphases in different battery systems. In aqueous electrolytes, the hydrophobic LiF can extend the electrochemical stability window of aqueous electrolytes. In organic liquid electrolytes, the highly lithiophobic LiF can suppress Li dendrite formation and growth. Electrolyte design aimed at forming LiF-rich interphases has substantially advanced high-energy aqueous and non-aqueous Li-ion batteries. The electrolyte and interphase design principles discussed here are also applicable to solid-state batteries, as a strategy to achieve long cycle life under low stack pressure, as well as to construct other metal batteries.

Interface design for all-solid-state lithium batteries

The operation of high-energy all-solid-state lithium-metal batteries at low stack pressure is challenging owing to the Li dendrite growth at the Li anodes and the high interfacial resistance at the cathodes1-4. Here we design a Mg16Bi84 interlayer at the Li/Li6PS5Cl interface to suppress the Li dendrite growth, and a F-rich interlayer on LiNi0.8Mn0.1Co0.1O2 (NMC811) cathodes to reduce the interfacial resistance. During Li plating-stripping cycles, Mg migrates from the Mg16Bi84 interlayer to the Li anode converting Mg16Bi84 into a multifunctional LiMgSx-Li3Bi-LiMg structure with the layers functioning as a solid electrolyte interphase, a porous Li3Bi sublayer and a solid binder (welding porous Li3Bi onto the Li anode), respectively. The Li3Bi sublayer with its high ionic/electronic conductivity ratio allows Li to deposit only on the Li anode surface and grow into the porous Li3Bi sublayer, which ameliorates pressure (stress) changes. The NMC811 with the F-rich interlayer converts into F-doped NMC811 cathodes owing to the electrochemical migration of the F anion into the NMC811 at a high potential of 4.3 V stabilizing the cathodes. The anode and cathode interlayer designs enable the NMC811/Li6PS5Cl/Li cell to achieve a capacity of 7.2 mAh cm-2 at 2.55 mA cm-2, and the LiNiO2/Li6PS5Cl/Li cell to achieve a capacity of 11.1 mAh cm-2 with a cell-level energy density of 310 Wh kg-1 at a low stack pressure of 2.5 MPa. The Mg16Bi84 anode interlayer and F-rich cathode interlayer provide a general solution for all-solid-state lithium-metal batteries to achieve high energy and fast charging capability at low stack pressure.

Friction reducing ability of a poly-l-lysine and dopamine modified hyaluronan coating for polycaprolactone cartilage resurfacing implants

Frictional properties of cartilage resurfacing implants should be sufficiently low to limit damaging of the opposing cartilage during articulation. The present study determines if native lubricious molecule proteoglycan 4 (PRG4) can adsorb onto a layer-by-layer bioinspired coating composed of poly-l-lysine (PLL) and dopamine modified hyaluronic acid (HADN) and thereby can reduce the friction between implant and articular cartilage. An ELISA was developed to quantify the amount of immobilized human recombinant (rh)PRG4 after exposure to the PLL-HADN coating. The effect on lubrication was evaluated by comparing the coefficient of friction (CoF) of bare polycaprolactone (PCL) disks to that of PLL-HADN coated PCL disks while articulated against cartilage using a ring-on-disk geometry and a lubricant solution consisting of native synovial fluid components including rhPRG4. The PLL-HADN coating effectively immobilized rhPRG4. The surface roughness of PCL disks significantly increased while the water contact angle significantly decreased after application of the coating. The average CoF measured during the first minute of bare PCL against cartilage exceeded twice the CoF of the PLL-HADN coated PCL against cartilage. After 60 min, the CoF reached equilibrium values which were still significantly higher for bare PCL compared to coated PCL. The present study demonstrated that PCL can effectively be coated with PLL-HADN. Additionally, this coating reduces the friction between PCL and cartilage when a PRG4-rich lubricant is used, similar to the lubricating surface of native cartilage. This makes PLL-HADN coating a promising application to improve the clinical success of PCL-based cartilage resurfacing implants.

Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage

Background

Outliers and class imbalance in medical data could affect the accuracy of machine learning models. For physicians who want to apply predictive models, how to use the data at hand to build a model and what model to choose are very thorny problems. Therefore, it is necessary to consider outliers, imbalanced data, model selection, and parameter tuning when modeling.

Methods

This study used a joint modeling strategy consisting of: outlier detection and removal, data balancing, model fitting and prediction, performance evaluation. We collected medical record data for all ICH patients with admissions in 2017–2019 from Sichuan Province. Clinical and radiological variables were used to construct models to predict mortality outcomes 90 days after discharge. We used stacking ensemble learning to combine logistic regression (LR), random forest (RF), artificial neural network (ANN), support vector machine (SVM), and k-nearest neighbors (KNN) models. Accuracy, sensitivity, specificity, AUC, precision, and F1 score were used to evaluate model performance. Finally, we compared all 84 combinations of the joint modeling strategy, including training set with and without cross-validated committees filter (CVCF), five resampling techniques (random under-sampling (RUS), random over-sampling (ROS), adaptive synthetic sampling (ADASYN), Borderline synthetic minority oversampling technique (Borderline SMOTE), synthetic minority oversampling technique and edited nearest neighbor (SMOTEENN)) and no resampling, seven models (LR, RF, ANN, SVM, KNN, Stacking, AdaBoost).

Results

Among 4207 patients with ICH, 2909 (69.15%) survived 90 days after discharge, and 1298 (30.85%) died within 90 days after discharge. The performance of all models improved with removing outliers by CVCF except sensitivity. For data balancing processing, the performance of training set without resampling was better than that of training set with resampling in terms of accuracy, specificity, and precision. And the AUC of ROS was the best. For seven models, the average accuracy, specificity, AUC, and precision of RF were the highest. Stacking performed best in F1 score. Among all 84 combinations of joint modeling strategy, eight combinations performed best in terms of accuracy (0.816). For sensitivity, the best performance was SMOTEENN + Stacking (0.662). For specificity, the best performance was CVCF + KNN (0.987). Stacking and AdaBoost had the best performances in AUC (0.756) and F1 score (0.602), respectively. For precision, the best performance was CVCF + SVM (0.938).

Conclusion

This study proposed a joint modeling strategy including outlier detection and removal, data balancing, model fitting and prediction, performance evaluation, in order to provide a reference for physicians and researchers who want to build their own models. This study illustrated the importance of outlier detection and removal for machine learning and showed that ensemble learning might be a good modeling strategy. Due to the low imbalanced ratio (IR, the ratio of majority class and minority class) in this study, we did not find any improvement in models with resampling in terms of accuracy, specificity, and precision, while ROS performed best on AUC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-02018-x.

Salt-in-Salt Reinforced Carbonate Electrolyte for Li Metal Batteries

The instability of carbonate electrolyte with metallic Li greatly limits its application in high-voltage Li metal batteries. Here, a "salt-in-salt" strategy is applied to boost the LiNO₃ solubility in the carbonate electrolyte with Mg(TFSI)₂ carrier, which enables the inorganic-rich solid electrolyte interphase (SEI) for excellent Li metal anode performance and also maintains the cathode stability. In the designed electrolyte, both NO₃ ^- and PF₆ ^- anions participate in the Li⁺ -solvent complexes, thus promoting the formation of inorganic-rich SEI. Our designed electrolyte has achieved a superior Li CE of 99.7 %, enabling the high-loading NCM811||Li (4.5 mAh cm^-2 ) full cell with N/P ratio of 1.92 to achieve 84.6 % capacity retention after 200 cycles. The enhancement of LiNO₃ solubility by divalent salts is universal, which will also inspire the electrolyte design for other metal batteries.

Sex-related differences in spontaneous intracerebral hemorrhage outcomes: A prognostic study based on 111,112 medical records

Objective

To identify sex-related differences in the outcome of hospitalized patients with spontaneous intracerebral hemorrhage (SICH), and to identify potential causal pathways between sex and SICH outcome.

Methods

A total of 111,112 medical records of in-hospital patients with SICH were collected. Data- and expert-driven techniques were applied, such as a multivariate logistic regression model and causal mediation analysis. These analyses were used to determine the confounders and mediators, estimate the true effect of sex on the SICH outcome, and estimate the average causal mediation effect for each mediator.

Results

(1) Failure (disability or death) rates in women with SICH were significantly lower than in men with SICH. On the day of discharge, the odds ratio (OR) of failure between women and men was 0.9137 [95% confidence interval (CI), 0.8879–0.9402], while the odds ratio at 90 days post-discharge was 0.9353 (95% confidence interval, 0.9121–0.9591). (2) The sex-related difference in SICH outcome decreased with increasing age and disappeared after 75 years. (3) Deep coma, brainstem hemorrhage, and an infratentorial hemorrhage volume of >10 ml accounted for 62.76% (p < 0.001), 33.46% (p < 0.001), and 11.56% (p < 0.001) of the overall effect on the day of discharge, and for 52.28% (p < 0.001), 27.65% (p < 0.001), and 10.86% (p < 0.001) of the overall effect at the 90-day post-discharge.

Conclusion

Men have a higher failure risk than women, which may be partially mediated by a higher risk for deep coma, brainstem hemorrhage, and an infratentorial hemorrhage volume of >10 ml. Future work should explore the biological mechanisms underlying this difference.

Enhancing Li+ Transport in NMC811||Graphite Lithium-Ion Batteries at Low Temperatures by Using Low-Polarity-Solvent Electrolytes

LiNi_x Co_y Mn_z O₂ (x+y+z=1)||graphite lithium-ion battery (LIB) chemistry promises practical applications. However, its low-temperature (≤ -20 °C) performance is poor because the increased resistance encountered by Li⁺ transport in and across the bulk electrolytes and the electrolyte/electrode interphases induces capacity loss and battery failures. Though tremendous efforts have been made, there is still no effective way to reduce the charge transfer resistance (R_ct ) which dominates low-temperature LIBs performance. Herein, we propose a strategy of using low-polarity-solvent electrolytes which have weak interactions between the solvents and the Li⁺ to reduce R_ct , achieving facile Li⁺ transport at sub-zero temperatures. The exemplary electrolyte enables LiNi_0.8 Mn_0.1 Co_0.1 O₂ ||graphite cells to deliver a capacity of ≈113 mAh g^-1 (98 % full-cell capacity) at 25 °C and to remain 82 % of their room-temperature capacity at -20 °C without lithium plating at 1/3C. They also retain 84 % of their capacity at -30 °C and 78 % of their capacity at -40 °C and show stable cycling at 50 °C.

The Global Atmosphere-aerosol Model ICON-A-HAM2.3-Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness

The Hamburg Aerosol Module version 2.3 (HAM2.3) from the ECHAM6.3-HAM2.3 global atmosphere-aerosol model is coupled to the recently developed icosahedral nonhydrostatic ICON-A (icon-aes-1.3.00) global atmosphere model to yield the new ICON-A-HAM2.3 atmosphere-aerosol model. The ICON-A and ECHAM6.3 host models use different dynamical cores, parameterizations of vertical mixing due to sub-grid scale turbulence, and parameter settings for radiation balance tuning. Here, we study the role of the different host models for simulated aerosol optical thickness (AOT) and evaluate impacts of using HAM2.3 and the ECHAM6-HAM2.3 two-moment cloud microphysics scheme on several meteorological variables. Sensitivity runs show that a positive AOT bias over the subtropical oceans is remedied in ICON-A-HAM2.3 because of a different default setting of a parameter in the moist convection parameterization of the host models. The global mean AOT is biased low compared to MODIS satellite instrument retrievals in ICON-A-HAM2.3 and ECHAM6.3-HAM2.3, but the bias is larger in ICON-A-HAM2.3 because negative AOT biases over the Amazon, the African rain forest, and the northern Indian Ocean are no longer compensated by high biases over the sub-tropical oceans. ICON-A-HAM2.3 shows a moderate improvement with respect to AOT observations at AERONET sites. A multivariable bias score combining biases of several meteorological variables into a single number is larger in ICON-A-HAM2.3 compared to standard ICON-A and standard ECHAM6.3. In the tropics, this multivariable bias is of similar magnitude in ICON-A-HAM2.3 and in ECHAM6.3-HAM2.3. In the extra-tropics, a smaller multivariable bias is found for ICON-A-HAM2.3 than for ECHAM6.3-HAM2.3.

Segmentation of Spontaneous Intracerebral Hemorrhage on CT With a Region Growing Method Based on Watershed Preprocessing

Intracerebral hemorrhage (ICH) poses a great threat to human life due to its high incidence and poor prognosis. Identification of the bleeding location and quantification of the volume based on CT images are of great significance for assisting the diagnosis and treatment of ICH. In this study, a region-growing algorithm based on watershed preprocessing (RG-WP) was proposed to segment and quantify the hemorrhage. The lowest points yielded by the watershed algorithm were used as seed points for region growing and then hemorrhage was segmented based on the region growing method. At the same time, to integrate the rich experience of clinicians with the algorithm, manual selection of seed points on the basis of watershed segmentation was performed. With the application of segmentation on CT images of 55 patients with ICH, the performance of the RG-WP algorithm was evaluated by comparing it with manual segmentations delineated by professional clinicians as well as the traditional ABC/2 method and the deep learning algorithm U-net. The mean deviation of hemorrhage volume of the RG-WP algorithm from manual segmentation was −0.12 ml (range: −1.05–1.16), while that of the ABC/2 from the manual was 1.05 ml (range: −0.77–9.57). Strong agreement of the algorithm and the manual was confirmed with a high intraclass correlation coefficient (ICC) (0.998, 95% CI: 0.997–0.999), which was superior to that of the ABC/2 and the manual (0.972, 95% CI: 0.953–0.984). The sensitivity (Sen), positive predictive value (PPV), dice similarity index (DSI), and Jaccard index (JI) of the RG-WP algorithm compared to the manual were 0.92 ± 0.04, 0.95 ± 0.04, 0.93 ± 0.02, and 0.88 ± 0.04, respectively, showing high consistency. Besides, the accuracy of the algorithm was also comparable to that of the deep learning method U-net, with Sen, PPV, DSI, and JI being 0.91 ± 0.09, 0.91 ± 0.06, 0.91 ± 0.05, and 0.91 ± 0.06, respectively.

Applying the Spatial Transmission Network to the Forecast of Infectious Diseases Across Multiple Regions

Objective

Timely and accurate forecast of infectious diseases is essential for achieving precise prevention and control. A good forecasting method of infectious diseases should have the advantages of interpretability, feasibility, and forecasting performance. Since previous research had illustrated that the spatial transmission network (STN) showed good interpretability and feasibility, this study further explored its forecasting performance for infectious diseases across multiple regions. Meanwhile, this study also showed whether the STN could overcome the challenges of model rationality and practical needs.

Methods

The construction of the STN framework involved three major steps: the spatial kluster analysis by tree edge removal (SKATER) algorithm, structure learning by dynamic Bayesian network (DBN), and parameter learning by the vector autoregressive moving average (VARMA) model. Then, we evaluated the forecasting performance of STN by comparing its accuracy with that of the mechanism models like susceptible-exposed-infectious-recovered-susceptible (SEIRS) and machine-learning algorithm like long-short-term memory (LSTM). At the same time, we assessed the robustness of forecasting performance of STN in high and low incidence seasons. The influenza-like illness (ILI) data in the Sichuan Province of China from 2010 to 2017 were used as an example for illustration.

Results

The STN model revealed that ILI was likely to spread among multiple cities in Sichuan during the study period. During the whole study period, the forecasting accuracy of the STN (mean absolute percentage error [MAPE] = 31.134) was significantly better than that of the LSTM (MAPE = 41.657) and the SEIRS (MAPE = 62.039). In addition, the forecasting performance of STN was also superior to those of the other two methods in either the high incidence season (MAPE = 24.742) or the low incidence season (MAPE = 26.209), and the superiority was more obvious in the high incidence season.

Conclusion

This study applied the STN to the forecast of infectious diseases across multiple regions. The results illustrated that the STN not only had good accuracy in forecasting performance but also indicated the spreading directions of infectious diseases among multiple regions to a certain extent. Therefore, the STN is a promising candidate to improve the surveillance work.

Symptom Clustering Patterns and Population Characteristics of COVID-19 Based on Text Clustering Method

Background

Descriptions of single clinical symptoms of coronavirus disease 2019 (COVID-19) have been widely reported. However, evidence of symptoms associations was still limited. We sought to explore the potential symptom clustering patterns and high-frequency symptom combinations of COVID-19 to enhance the understanding of people of this disease.

Methods

In this retrospective cohort study, a total of 1,067 COVID-19 cases were enrolled. Symptom clustering patterns were first explored by a text clustering method. Then, a multinomial logistic regression was applied to reveal the population characteristics of different symptom groups. In addition, time intervals between symptoms onset and the first visit were analyzed to consider the effect of time interval extension on the progression of symptoms.

Results

Based on text clustering, the symptoms were summarized into four groups. Group 1: no-obvious symptoms; Group 2: mainly fever and/or dry cough; Group 3: mainly upper respiratory tract infection symptoms; Group 4: mainly cardiopulmonary, systemic, and/or gastrointestinal symptoms. Apart from Group 1 with no obvious symptoms, the most frequent symptom combinations were fever only (64 cases, 47.8%), followed by dry cough only (42 cases, 31.3%) in Group 2; expectoration only (21 cases, 19.8%), followed by expectoration complicated with fever (10 cases, 9.4%) in Group 3; fatigue complicated with fever (12 cases, 4.2%), followed by headache complicated with fever was also high (11 cases, 3.8%) in Group 4. People aged 45–64 years were more likely to have symptoms of Group 4 than those aged 65 years or older (odds ratio [OR] = 2.66, 95% CI: 1.21–5.85) and at the same time had longer time intervals.

Conclusions

Symptoms of COVID-19 could be divided into four clustering groups with different symptom combinations. The Group 4 symptoms (i.e., mainly cardiopulmonary, systemic, and/or gastrointestinal symptoms) happened more frequently in COVID-19 than in influenza. This distinction could help deepen the understanding of this disease. The middle-aged people have a longer time interval for medical visit and was a group that deserve more attention, from the perspective of medical delays.

Interfacial Design for a 4.6 V High-Voltage Single-Crystalline LiCoO2 Cathode

Single-crystalline cathode materials have attracted intensive interest in offering greater capacity retention than their polycrystalline counterparts by reducing material surfaces and phase boundaries. However, the single-crystalline LiCoO₂ suffers severe structural instability and capacity fading when charged to high voltages (4.6 V) due to Co element dissolution and O loss, crack formation, and subsequent electrolyte penetration. Herein, by forming a robust cathode electrolyte interphase (CEI) in an all-fluorinated electrolyte, reversible planar gliding along the (003) plane in a single-crystalline LiCoO₂ cathode is protected due to the prevention of element dissolution and electrolyte penetration. The robust CEI effectively controls the performance fading issue of the single-crystalline cathode at a high operating voltage of 4.6 V, providing new insights for improved electrolyte design of high-energy-density battery cathode materials.

[Prognostic evaluation value of (18)F-FDG PET-CT in Hodgkin's lymphoma after treatment]

Objective: To investigate the prognostic value of (18)F-fluorodeoxygen-D-glucose-positron emission tomography /computerized tomography ((18)F-FDG-PET-CT) in Hodgkin's lymphoma (HL) at the end of first-line treatment (PET-end), by comparing the ratio of maximum standardized uptake value (SUV(max)) of lesion and liver SUV (rLL), SUV(max) reduction between baseline PET (PET-0) and PET-end (ΔSUV(max)), and Deauville 5-point scale (5-PS). Methods: Patients with HL newly treated in our hospital from August 2006 to December 2015 were retrospectively analyzed. All the patients enrolled in the study underwent post-treatment FDG PET-CT. The rLL and ΔSUV(max) were calculated, and all the cases were scored using Deauville 5-PS. The receiver operating characteristic (ROC) approach was applied to identify the optimal cut-point value, and survival curves according to different PET-CT assessment methods were estimated using the Kaplan-Meier analysis. The prognostic efficacy of different PET-CT assessment methods was compared, and DeLong test was used to verify it. Kaplan-Meier method and multivariate analysis using the Cox proportional hazards model were performed to analyze the potential independent risk factors. Results: There were 5 patients progressed within a 3-year follow-up. In the three PET-CT assessment methods, the predictive value of rLL and Deauville 5-PS were significant effective. ROC analysis for rLL as a progression predictor showed an optimal cut-point of 1.29. Deauville 5-PS=4 and rLL=1.29 showed the best prognostic accuracy. The sensitivity of rLL and Deauville 5-PS were both 80.0%, and the specificity of each was 98.0% and 93.7%, respectively. The positive predictive value (PPV) and negative predictive value (NPV) of rLL were 66.7% and 98.7%, while the PPV and NPV of 5-PS were 44.4% and 98.7%. The 3-years progression-free survival (PFS) rates of rLL≥1.29 group and rLL<1.29 group were 33.3% and 98.7%, with significant difference (P<0.001). The 3-years PFS rates of post-treatment Deauville 5-PS<4 group and Deauville 5-PS≥4 group were 98.7% and 55.6%, with significant difference (P<0.001). The prognostic evaluation efficacy of rLL was positively correlated with that of Deauville 5-PS (r=0.75, P<0.05). Area under curves (AUC) of rLL and Deauville 5-PS were 0.93 (95%CI: 0.825-1.000) and 0.91 (95%CI: 0.757-1.000), respectively. DeLong test showed the significant difference between the two methods (P<0.05). The univariate analysis results showed that clinical baseline stage, post-treatment rLL and Deauville 5-PS were associated with the prognoses of HL patients (P<0.05). The multivariate analysis results showed that post-treatment rLL and Deauville 5-PS were independent prognostic factors of HL (P<0.05). Conclusions: The rLL and Deauville 5-PS are potential prognostic factors for HL response assessment. The new semi-quantitative method rLL has methodological advantages over visual analysis, and it is a good supplement for Deauville 5-PS. rLL can improve prognostic evaluation accuracy of PET-CT and is useful to early identify patients with HL at a high risk of relapsing after first-line treatment.

Understanding LiI-LiBr Catalyst Activity for Solid State Li2S/S Reactions in an All-Solid-State Lithium Battery

Li||MoS₂ solid-state batteries have higher volumetric energy density and power density than Li||Li₂S batteries. However, they suffer from energy and power decay due to the formation of lithium sulfide that has low ionic/electronic conductivity and a strong Li-S bond. Herein, we overcome these challenges by incorporating the catalytic LiI-LiBr compound and carbon black into MoS₂. The comprehensive simulations, characterizations, and electrochemical evaluations demonstrated that LiI-LiBr significantly reduces Li⁺/S^2- interaction and increases the ionic conductivity of Li₂S, thus enhancing the reaction kinetics and Li₂S/S redox reversibility. MoS₂@LiI-LiBr@C||Li cells with an areal capacity of 0.87 mAh cm^-2 provide a reversible capacity of 816.2 mAh g^-1 at 200 mA g^-1 and maintain 604.8 mAh g^-1 (based on the mass of MoS₂) for 100 cycles. At a high areal capacity of 2 mAh cm^-2, the battery still delivers reversible capacity of 498 mAh g^-1. LiI-LiBr-carbon additive can be broadly applied for all transition-metal sulfide cathodes to enhance the cyclic and rate performance.

[Interim follow-up of fetal cardiac intervention in five fetuses with pulmonary atresia with intact ventricular septum]

Objective: To summarize the interim outcome and right heart development of pulmonary atresia with intact ventricular septum (PA-IVS) in children after fetal cardiac intervention (FCI). Methods: The clinical data of 5 live births underwent FCI from October 2018 to April 2019 in Women and Children's Hospital, Qingdao University were analyzed retrospectively. The development of right ventricle (RV) and tricuspid valve (TV) in uterus after FCI, at birth, the age of 6 months, 1 year and 2 years, and the final outcome were assessed. Results: Five PA-IVS fetuses were included in this study. The first evaluation was performed at 24-26 weeks of gestational age, and the FCI was performed at 26-28 weeks of gestational age. During the follow-up of 6 weeks after FCI, the minimum diameter of tricuspid annulus increased from 0.85 cm to 0.92 cm, and the minimum Z-score of tricuspid annulus decreased from -0.03 to -1.62. The minimum values of TV/mitral valve annular diameter and RV/left ventricular length ratios of all fetuses increased from 0.57, 0.52 to 0.88, 0.82, respectively. The maximum tricuspid regurgitation velocity decreased from 4.60 m/s to 3.64 m/s. No severe hemodynamic change was found in any of the fetuses. All 5 fetuses were born alive. Three cases underwent percutaneous balloon pulmonary valvuloplasty (PBPV) and stent implantation for ductus arteriosus. Two cases received PBPV alone. At follow-up (26 to 32 months), obvious development of TV was observed 6 months to 1 year after birth in 5 cases with the growth rate ranging from 19.64% to 40.00%. Meanwhile, the RV development was relatively slow at 6 months with the growth rate ranging from 9.41% to 21.42%. There were individual differences in RV development at 2 years. The growth and development of all children were equal to healthy children of the same age with the body mass index less than 18.4 kg/m². At the last follow-up, all children had a transcutaneous oxygen saturation of greater than 0.95, three became biventricular circulation and two had circulation approximation to biventricular circulation with almost closed stent. Conclusions: The findings support the potential of development of right ventricular and tricuspid valve for fetuses with PA-IVS underwent FCI. All fetuses underwent FCI received intervention after birth, and biventricular circulation can be realized finally. The development of right ventricular and tricuspid valve is not proportional. In utero, the right ventricle develops rapidly, and the development of tricuspid valve is more advantageous after birth.

Spatial and Temporal Characteristics of PM2.5 Sources and Pollution Events in a Low Industrialized City

In recent years, cities in southern China have experienced severe air pollution, despite having few sources of pollutants. To study the pollution characteristics of PM2.5 in these “low industrialized” cities, a numerical method based on the HYSPLIT4 Model and Kriging Spatial Interpolation Technology was established. Simulation results showed that the PM2.5 pollution in Guilin was affected by both internal and external sources. The backward air mass trajectory from July 2017 to June 2018 was simulated using the HYSPLIT model. The cluster analysis results indicated that the direction of trajectory ? accounted for 63.09% of the air pollution in the city. The average concentration of PM2.5 pollution was 45.94 ?g.m-3. The pollutant originated from the “Xiang-Gui Corridor.” The location of the sources was collocated with high industry regions. The spatial characteristics of the four pollution processes in the winter of 2017 were analyzed using a spatial interpolation method. The results showed that the transport of air masses in the direction of trajectory ? was obstructed by a mountain system in the northeast. Therefore, two air pollution accumulation centers and a topographic weakening zone dominated by internal and external sources were formed. It can be inferred that the air pollution in Guilin is affected by both internal and external factors. These results provide important theoretical and technical support for regional air pollution control and environmental protection.

COPB2: a transport protein with multifaceted roles in cancer development and progression

The Coatomer protein complex subunit beta 2 (COPB2) is involved in the formation of the COPI coatomer protein complex and is responsible for the transport of vesicles between the Golgi apparatus and the endoplasmic reticulum. It plays an important role in maintaining the integrity of these cellular organelles, as well as in maintaining cell homeostasis. More importantly, COPB2 plays key roles in embryonic development and tumor progression. COPB2 is regarded as a vital oncogene in several cancer types and has been implicated in tumor cell proliferation, survival, invasion, and metastasis. Here, we summarize the current knowledge on the roles of COPB2 in cancer development and progression in the context of the hallmarks of cancer.

ST8SIA1 inhibition sensitizes triple negative breast cancer to chemotherapy via suppressing Wnt/β-catenin and FAK/Akt/mTOR

BACKGROUND

Chemoresistance is the major cause of therapeutic failure in triple negative breast cancer (TNBC). In this work, we investigated the molecular mechanism for the development of TNBC chemoresistance.

METHODS

mRNA and protein levels of ST8SIA1 were analyzed in chemosensitive and chemoresistant TNBC cells and tissues. Proliferation and survival assays were performed to determine the role of ST8SIA1 in TNBC chemoresistance.

RESULTS

We found that ST8SIA1 mRNA and protein levels were increased in multiple TNBC cell lines after prolonged exposure to chemotherapeutic drugs. Consistently, retrospective study demonstrated that the majority of TNBC patients who developed chemoresistance displayed upregulation of ST8SIA1. We further found that chemoresistant TNBC cells were more sensitive than chemosensitive cells to ST8SIA1 inhibition in decreasing growth and viability. Consistently, ST8SIA1 inhibition augmented the efficacy of chemotherapy in TNBC cells. Mechanism studies demonstrated that ST8SIA1 inhibition led to suppression of FAK/Akt/mTOR and Wnt/β-catenin signalling pathways.

CONCLUSIONS

These findings provide an explanation for the heterogeneity of chemotherapy responses across TNBC individuals and reveal the supportive roles of ST8SIA1in TNBC chemoresistance.

Self-Formed Electronic/Ionic Conductive Fe3 S4 @ S @ 0.9Na3 SbS4 ⋅0.1NaI Composite for High-Performance Room-Temperature All-Solid-State Sodium-Sulfur Battery

Fe₃ S₄  @ S @ 0.9Na₃ SbS₄ ⋅0.1NaI composite cathode is prepared through one-step wet-mechanochemical milling procedure. During milling process, ionic conduction pathway is self-formed in the composite due to the formation of 0.9Na₃ SbS₄ ⋅0.1NaI electrolyte without further annealing treatment. Meanwhile, the introduction of Fe₃ S₄ can increase the electronic conductivity of the composite cathode by one order of magnitude and nearly double enhance the ionic conductivities. Besides, the aggregation of sulfur is effectively suppressed in the obtained Fe₃ S₄  @ S @ 0.9Na₃ SbS₄ ⋅0.1NaI composite, which will enhance the contact between sulfur and 0.9Na₃ SbS₄ ⋅0.1NaI electrolyte, leading to a decreased interfacial resistance and improving the electrochemical kinetics of sulfur. Therefore, the resultant all-solid-state sodium-sulfur battery employing Fe₃ S₄  @ S @ 0.9Na₃ SbS₄ ⋅0.1NaI composite cathode shows discharge capacity of 808.7 mAh g^-1 based on Fe₃ S₄ @S and a normalized discharge capacity of 1040.5 mAh g^-1 for element S at 100 mA g^-1 for 30 cycles at room temperature. Moreover, the battery also exhibits excellent cycling stability with a reversible capacity of 410 mAh g^-1 at 500 mA g^-1 for 50 cycles, and superior rate capability with capacities of 952.4, 796.7, 513.7, and 445.6 mAh g^-1 at 50, 100, 200, and 500 mA g^-1 , respectively. This facile strategy for sulfur-based composite cathode is attractive for achieving room-temperature sodium-sulfur batteries with superior electrochemical performance.

In Situ Coating of Li7P3S11 Electrolyte on CuCo2S4/Graphene Nanocomposite as a High-Performance Cathode for All-Solid-State Lithium Batteries

A cathode material, CuCo₂S₄/graphene@10%Li₇P₃S₁₁, is reported for all-solid-state lithium batteries with high performance. The electrical conductivity of CuCo₂S₄ is improved by compounding with graphene. Meanwhile, Li₇P₃S₁₁ electrolyte is coated on the surface of CuCo₂S₄/graphene nanosheets to build an intimate contact interface between the solid electrolyte and the electrode effectively, facilitating lithium-ion conduction. Benefitting from the balanced and efficient electronic and ionic conductions, all-solid-state lithium batteries using CuCo₂S₄/graphene@10%Li₇P₃S₁₁ composite as cathode materials demonstrate superior cycling stability and rate capabilities, exhibiting an initial discharge specific capacity of 1102.25 mAh g^-1 at 50 mA g^-1 and reversible capacity of 556.41 mAh g^-1 at a high current density of 500 mA g^-1 after 100 cycles. These results demonstrate that the CuCo₂S₄/graphene@10%Li₇P₃S₁₁ nanocomposite is a promising active material for all-solid-state lithium batteries with superior performances.

Enhancement in Xerostomia Patient Salivary Lubrication Using a Mucoadhesive

Oral lubrication mediated by mucin and protein containing salivary conditioning films (SCFs) with strong water retainability can get impaired due to disease such as xerostomia, that is, a subjective dry mouth feel associated with the changed salivary composition and low salivary flow rate. Aberrant SCFs in xerostomia patient cause difficulties in speech, mastication, and dental erosion while the prescribed artificial saliva is inadequate to solve the complications on a lasting basis. With the growing aging population, it is urgently needed to propose a new strategy to restore oral lubrication. Existing saliva substitutes often overwhelm the aberrant SCFs, generating inadequate relief. Here we demonstrated that the function of aberrant SCFs in a patient with Sjögren syndrome can be boosted through mucin recruitment by a simple mucoadhesive, chitosan-catechol (Chi-C). Chi-C with different conjugation degrees (Chi-C7.6%, Chi-C14.5%, Chi-C22.4%) was obtained by carbodiimide chemistry, which induced a layered structure composed of a rigid bottom and a soft secondary SCF (S-SCF) after reflow of saliva. The higher conjugation degree of Chi-C generates a higher glycosylated S-SCF by mucin recruitment and a lower friction in vitro. The layered S-SCF extends the "relief period" for Sjögren patient saliva over 7-fold, measured on an ex vivo tongue-enamel friction system. Besides lubrication, Chi-C-treated S-SCF reduces dental erosion depths from 125 to 70 μm. Chi-C shows antimicrobial activity against Streptococcus mutans. This research provides a new key insight in restoring the functionality of conditioning film at articulating tissues in living systems.

Passivation of the Cathode-Electrolyte Interface for 5 V-Class All-Solid-State Batteries

An all-solid-state battery is a potentially superior alternative to a state-of-the-art lithium-ion battery owing to its merits in abuse tolerance, packaging, energy density, and operable temperature ranges. In this work, a 5 V-class spinel LiNi_0.5Mn_1.5O₄ (LNMO) cathode is targeted to combine with a high-ionic-conductivity Li₆PS₅Cl (LPSCl) solid electrolyte for developing high-performance all-solid-state batteries. Aiming to passivate and stabilize the LNMO-LPSCl interface and suppress the unfavorable side reactions such as the continuous chemical/electrochemical decomposition of the solid electrolyte, oxide materials including LiNbO₃, Li₃PO₄, and Li₄Ti₅O₁₂ are rationally applied to decorate the surface of pristine LNMO particles with various amounts through a wet-chemistry approach. Electrochemical characterization demonstrates that the composite cathode consisting of 8 wt % LiNbO₃-coated LNMO and LPSCl in a weight ratio of 70:30 delivers the best electrochemical performance with an initial discharge capacity of 115 mA h g^-1 and a reversible discharge capacity of 80 mA h g^-1 at the 20th cycle, suggesting that interfacial passivation is an effective strategy to ensure the operation of 5 V-class all-solid-state batteries.

Sulfur-Embedded FeS2 as a High-Performance Cathode for Room Temperature All-Solid-State Lithium-Sulfur Batteries

All-solid-state lithium-sulfur batteries employing sulfur electrodes and a solid electrolyte at room temperature are still a great challenge owing to the low conductivities of sulfur cathodes. In this work, we report room temperature all-solid-state lithium-sulfur batteries using thin sulfur layer-embedded FeS₂ (FeS₂@S) microsphere composites as active materials in the FeS₂@S-Li₁₀GeP₂S₁₂-Super P cathode electrode. Setting the cut-off voltage between 1.5 and 2.8 V, only lithiation-delithiation reactions between L₂FeS₂ and FeS_y and direct reaction between Li₂S and S will occur, which avoids large volume change of FeS₂ caused by the conversion reaction, leading to the structure integrity of FeS₂@S. The resultant batteries exhibit excellent rate and cyclic performances, delivering specific capacities of 1120.9, 937.2, 639.7, 517.2, 361.5, and 307.0 mA h g^-1 for the FeS₂@S composite cathode, corresponding to the normalized capacities of 1645.5, 1252.9, 782.5, 700.2, 478.4, and 363.6 mA h g^-1 for sulfur at 30, 50, 100, 500, 1000, and 5000 mA g^-1, respectively. Besides, they can retain the normalized capacity of 430.7 mA h g^-1 for sulfur at 1000 mA g^-1 after 200 cycles at room temperature.

Construction of 3D Electronic/Ionic Conduction Networks for All-Solid-State Lithium Batteries

High and balanced electronic and ionic transportation networks with nanoscale distribution in solid-state cathodes are crucial to realize high-performance all-solid-state lithium batteries. Using Cu₂ SnS₃ as a model active material, such a kind of solid-state Cu₂ SnS₃ @graphene-Li₇ P₃ S₁₁ nanocomposite cathodes are synthesized, where 5-10 nm Cu₂ SnS₃ nanoparticles homogenously anchor on the graphene nanosheets, while the Li₇ P₃ S₁₁ electrolytes uniformly coat on the surface of Cu₂ SnS₃ @graphene composite forming nanoscaled electron/ion transportation networks. The large amount of nanoscaled triple-phase boundary in cathode ensures high power density due to high ionic/electronic conductions and long cycle life due to uniform and reduced volume change of nano-Cu₂ SnS_3. The Cu₂ SnS₃ @graphene-Li₇ P₃ S₁₁ cathode layer with 2.0 mg cm^-2 loading in all-solid-state lithium batteries demonstrates a high reversible discharge specific capacity of 813.2 mAh g^-1 at 100 mA g^-1 and retains 732.0 mAh g^-1 after 60 cycles, corresponding to a high energy density of 410.4 Wh kg^-1 based on the total mass of Cu₂ SnS₃ @graphene-Li₇ P₃ S₁₁ composite based cathode. Moreover, it exhibits excellent rate capability and high-rate cycling stability, showing reversible capacity of 363.5 mAh g^-1 at 500 mA g^-1 after 200 cycles. The study provides a new insight into constructing both electronic and ionic conduction networks for all-solid-state lithium batteries.

Desmoglein-3 acts as a pro-survival protein by suppressing reactive oxygen species and doming whilst augmenting the tight junctions in MDCK cells

Kidney disease prevalence increases with age, with a common feature of the disease being defects in the epithelial tight junctions. Emerging evidence suggests that the desmosomal adhesion protein Desmoglein-3 (Dsg3) functions beyond the desmosomal adhesion and plays a role in regulating the fundamental pathways that govern cell fate decisions in response to environmental chemical and mechanical stresses. In this study, we explored the role of Dsg3 on dome formation, reactive oxygen species (ROS) production and transepithelial electrical resistance (TER) in MDCK cells, a kidney epithelial cell model widely used to study cell differentiation and tight junction formation and integrity. We show that overexpression of Dsg3 constrained nuclear ROS production and cellular doming in confluent cell cultures and these features coincided with augmented TER and enhanced tight junction integrity. Conversely, cells expressing dominant-negative Dsg3ΔC mutants exhibited heightened ROS production and accelerated doming, accompanied by increased apoptosis, as well as cell proliferation, with massive disruption in F-actin organization and accumulation, and alterations in tight junctions. Inhibition of actin polymerization and protein synthesis was able to sufficiently block dome formation in mutant populations. Taken together, these findings underscore that Dsg3 has a role in controlling cellular viability and differentiation as well as the functional integrity of tight junctions in MDCK cells.

Transitional Metal Catalytic Pyrite Cathode Enables Ultrastable Four-Electron-Based All-Solid-State Lithium Batteries

All-solid-state batteries can enable reversible four lithium ion storage for pyrite (FeS₂) at a cutoff voltage of 1.0-3.0 V. However, strain/stress concentration generating electrode pulverization and sluggish electrochemical reaction of lithium sulfide and sulfur will affect the long cycling stability of the battery. Through experiments and density functional theory (DFT) calculations, it is proved that nanostructure engineering and electronic conduction improvement with introduction of catalytic cobalt can effectively improve the electrochemical activity of FeS₂. The optimized loose structured Co_0.1Fe_0.9S₂ based all-solid-state lithium batteries show reversible capacities of 860.5, 797.7, 685.8, and 561.8 mAh g^-1 after five cycles at 100, 200, 500, and 1000 mA g^-1, respectively, and a stable capacity of 543.5 mAh g^-1 can be maintained after cycling at a current density of 500 mA g^-1 for 100 cycles. Ex situ TEM and Raman results reveal that, after the first cycle, the reversible reaction 2Li₂S + Fe ↔ FeS_y + (2 - y)S + 4Li⁺ + 4e^- proceeds from the following cycles onward, while nanocrystalline mackinawite FeS, Fe(III)-containing mackinawite FeS, and Fe₃S₄ are generated after the first discharge-charge process. This work provides a facile method for improving the electrochemical performance for multi-electron reaction mechanism based all-solid-state lithium batteries.

Association of C-peptide with diabetic vascular complications in type 2 diabetes

AIM

Fasting serum C-peptide is a biomarker of insulin production and insulin resistance, but its association with vascular complications in type 2 diabetes mellitus (T2DM) has never been fully elucidated. This study aimed to investigate whether C-peptide is associated with cardiovascular disease (CVD) and diabetic retinopathy (DR).

METHODS

A total of 4793 diabetes patients were enrolled from seven communities in Shanghai, China, in 2018. CVD was defined as a self-reported combination of previous diagnoses, including coronary heart disease, myocardial infarction and stroke. DR was examined using fundus photographs. Logistic regression analyses were performed, and multiple imputed data were used to obtain stabilized estimates.

RESULTS

Prevalence of CVD increased with increasing C-peptide levels (Q1, Q2, Q3 and Q4: 33%, 34%, 37% and 44%, respectively; P_{for trend} < 0.001), whereas DR prevalence decreased with increasing C-peptide quartiles (Q1, Q2, Q3 and Q4: 21%, 19%, 15% and 12%, respectively; P_{for trend} < 0.001). On logistic regression analysis, C-peptide levels were significantly associated with CVD prevalence (1.27, 95% CI: 1.13-1.42; P < 0.001) and C-peptide quartiles (Q1: reference; Q2: 1.31, 95% CI: 1.00-1.70; Q3: 1.53, 95% CI: 1.16-2.01; Q4: 1.76, 95% CI: 1.32-2.34; P_{for trend} < 0.001). Given the interaction between C-peptide and BMI and the association between C-peptide and CVD (P_{for interaction} = 0.015), study participants were divided into two subgroups based on BMI which revealed that the association persisted despite different BMI statuses. However, DR prevalence decreased with increasing C-peptide levels (0.73, 95% CI: 0.62-0.86; P < 0.001) and quartiles (Q1: reference; Q2: 1.00, 95% CI: 0.76-1.33; Q3: 0.69, 95% CI: 0.50-0.94; Q4: 0.51, 95% CI: 0.36-0.72; P_{for trend} < 0.001).

CONCLUSION

C-peptide was positively associated with CVD, but inversely associated with DR progression. The association between C-peptide and CVD could be due to associated metabolic risk factors.

Severe Gastric Mycormycosis Infection Followed by Cytomegalovirus Pneumonia in a Renal Transplant Recipient: A Case Report and Concise Review of the Literature

Mucormycosis is an uncommonly encountered fungal infection in solid-organ transplantation, occurring most often gastrointestinally. The most common and fatal infectious disease is cytomegalovirus (CMV) pneumonia, which may result in acute respiratory distress syndrome (ARDS), with rapid onset. Early diagnosis, active treatment, and rational reduction of immunosuppressants are crucial for successful kidney transplantation. We performed successful treatment for both mucormycosis and CMV pneumonia and adjusted the tacrolimus dose accordingly. The case we describe was that of a 47-year-old woman with history of renal transplantation 1 month earlier. She presented with chest pain and gastrointestinal bleeding and was diagnosed with gastric mucormycosis and a secondary episode of hospital-acquired pneumonia. Preemptive therapy, which included liposomal amphotericin B and posaconazole, was adminstered when voriconazole proved to be unhelpful and before histologic reports of gastric mucormycosis. Moreover, CMV re-activation was confirmed by CMV antibody detection, and we administered gancyclovir and thymosin α1 but reduced the strength of the immunosuppressive drugs. Fourteen days after the aforementioned therapy, the patient began to recover and she was discharged on day 81 postoperatively. We conclude that preemptive treatment is critical for severe infection in renal transplant recipients, especially with the rarely seen gastric mucormycosis and with ARDS. In addition, immunoregulated agents, such as asthymosin α1, are also of great value in renal transplant recipients in the setting of opportunistic pathogen infections.

Role of von Willebrand factor and ADAMTS-13 in early brain injury after experimental subarachnoid hemorrhage

Essentials von Willebrand Factor (VWF) and ADAMTS13 may affect early injury after subarachnoid hemorrhage (SAH). Early brain injury was assessed in VWF-/- , ADAMTS13-/- and recombinant (r) ADAMTS13 treated mice. VWF-/- and rADAMTS13 treated mice had less brain injury than ADAMTS13-/- and wild-type mice. Early administration of rADAMTS13 may improve outcome after SAH by reducing early brain injury.

SUMMARY

Background Early brain injury is an important determinant of poor functional outcome and case fatality after aneurysmal subarachnoid hemorrhage (SAH), and is associated with early platelet aggregation. No treatment exists for early brain injury after SAH. We investigated whether von Willebrand factor (VWF) is involved in the pathogenesis of early brain injury, and whether ultra-early treatment with recombinant ADAMTS-13 (rADAMTS-13) reduces early brain injury after experimental SAH. Methods Experimental SAH in mice was induced by prechiasmatic injection of non-anticoagulated blood from a littermate. The following experimental SAH groups were investigated: C57BL/6J control (n = 21), VWF-/- (n = 25), ADAMTS-13-/- (n = 23), and C57BL/6J treated with rADAMTS-13 (n = 26). Mice were killed at 2 h after SAH. Primary outcome measures were microglial activation (IBA-1 surface area) and neuronal injury (number of cleaved caspase-3-positive neurons). Results As compared with controls, microglial activation was decreased in VWF-/- mice (mean difference of - 20.0%, 95% confidence interval [CI] - 4.0% to - 38.6%), increased in ADAMTS-13-/- mice (mean difference of + 34.0%, 95% CI 16.2-51.7%), and decreased in rADAMTS-13-treated mice (mean difference of - 22.1%, 95% CI - 3.4% to - 39.1%). As compared with controls (185 neurons, interquartile range [IQR] 133-353), neuronal injury in the cerebral cortex was decreased in VWF-/- mice (63 neurons, IQR 25-78), not changed in ADAMTS-13-/- mice (53 neurons, IQR 26-221), and reduced in rADAMTS-13-treated mice (45 neurons, IQR 9-115). Conclusions Our findings suggest that VWF is involved in the pathogenesis of early brain injury, and support the further study of rADAMTS-13 as a treatment option for early brain injury after SAH.

Nanoscaled Na3PS4 Solid Electrolyte for All-Solid-State FeS2/Na Batteries with Ultrahigh Initial Coulombic Efficiency of 95% and Excellent Cyclic Performances

Nanosized Na₃PS₄ solid electrolyte with an ionic conductivity of 8.44 × 10^-5 S cm^-1 at room temperature is synthesized by a liquid-phase reaction. The resultant all-solid-state FeS₂/Na₃PS₄/Na batteries show an extraordinary high initial Coulombic efficiency of 95% and demonstrate high energy density of 611 Wh kg^-1 at current density of 20 mA g^-1 at room temperature. The outstanding performances of the battery can be ascribed to good interface compatibility and intimate solid-solid contact at FeS₂ electrode/nanosized Na₃PS₄ solid electrolytes interface. Meanwhile, excellent cycling stability is achieved for the battery after cycling at 60 mA g^-1 for 100 cycles, showing a high capacity of 287 mAh g^-1 with the capacity retention of 80%.

Highly Crystalline Layered VS2 Nanosheets for All-Solid-State Lithium Batteries with Enhanced Electrochemical Performances

All-solid-state lithium batteries employing inorganic solid electrolytes have been regarded as an ultimate solution to safety issues because of their features of no leakage as well as incombustibility and they are expected to achieve higher energy densities owing to their simplified structure. Two-dimensional transition-metal dichalcogenides exhibit a great potential in energy storage devices because of their unique physical and chemical characteristics. In this work, 50 nm thick highly crystalline layered VS₂ (hc-VS₂) nanosheets are prepared by a solvothermal method, and their electrochemical performances are evaluated in Li/75% Li₂S-24% P₂S₅-1% P₂O₅/Li₁₀GeP₂S₁₂/hc-VS₂ all-solid-state lithium batteries. At 50 mA g^-1, hc-VS₂ nanosheets show a high reversible capacity of 532.2 mAh g^-1 after 30 cycles. Moreover, stable discharge capacities are maintained at 436.8 and 270.4 mAh g^-1 at 100 and 500 mA g^-1 after 100 cycles, respectively. The superior rate capability and cycling stability are ascribed to the better electronic conductivity and well-developed layered structure. In addition, the electrochemical reaction kinetics and capacity contributions were analyzed via cyclic voltammetry measurements at different scan rates.

Essential Role of IFT140 in Promoting Dentinogenesis

Primary cilia, with highly regulated cellular sensory functions, play key roles in tissue development and function maintenance. Intraflagellar transport 140 (IFT140) is a subunit of IFT complex A, which is specialized for retrograde transportation in cilia. Mutations of Ift140 are usually associated with syndromic ciliopathy and may cause isolated diseases such as retinal dystrophy, short ribs, and polycystic kidney. However, the role of IFT140 in tooth development has not been well investigated. In this study, a close relationship between IFT140 and dentin formation is disclosed. During tooth development, IFT140 was highly expressed in odontoblasts. To further understand the role of IFT140 in dentinogenesis, Ift140^flox/flox/Osx-Cre mouse was generated. The dentin thickness of Ift140^flox/flox/Osx-Cre mouse is thinner and the dentin formation is slower than that in control. In vitro, deletion of IFT140 in odontoblasts led to poor odontogenic differentiation, abnormal primary cilia, and decreased Sonic hedgehog signaling molecules. More important, due to loss of primary cilia in odontoblasts by IFT140 deletion, reparative dentin formation was impaired in a tooth-drilling model. These results suggest that cilia gene IFT140 is essential in promoting dentin formation and reparation.

Bronchoscopic resection of bronchial angiolipoma: A rare case report

Angiolipoma is a rare benign tumor that most commonly occurs in the extremities and trunk. Angiolipomas originating in the bronchial tree are extremely rare. To the best of our knowledge, only one such case, confined to the bronchus intermedius, has been reported to date. The present study describes the case of an asymptomatic 74-year-old man with a yellowish round mass incidentally discovered at the orifice of the right lower bronchus during a routine health check. The tumor originated from the membranous part of the right inferior bronchus. Using a high-frequency electric snare and argon plasma coagulation under general anesthesia, successful bronchoscopic resection of the tumor was performed. At 15 months after the surgery, the patient remained recurrence- and symptom-free.