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The architectural heritages of the Peking-Mukden Railway has witnessed the industrialization of China. When it no longer serves its original function, finding a new way for reuse becomes a trend. It requires feedback from reused cases to guide decision-making. This article aims to propose an approach to post-occupancy evaluation of architectural heritages in the Peking-Mukden Railway and apply it to real cases for analysis. The evaluation indicator system used here consists of a hierarchical structure, evaluation indicators, and interpretation indicators. Cosine similarity, entropy weight method, and precedence chart method are utilized to determine final weights. The GRA-TOPSIS method is utilized to identify reuse cases that require additional optimization. The conclusions are as follows: 1. The cosine similarity can be introduced to neutralize individual preferences. The entropy weight method can be used to neutralize subjective factors. 2. Based on the analysis of the sensitivity levels, indicators that need to be improved first can be identified. Priority should be given to spatial accessibility and cultural transmission when making adjustments with limited resources. 3. The GRA-TOPSIS evaluation method can be used to rank and find reuse cases that need further optimization. [ABSTRACT FROM AUTHOR]

The El Niño-Southern Oscillation (ENSO), originating in the central and eastern equatorial Pacific, is a defining mode of interannual climate variability with profound impact on global climate and ecosystems. However, an understanding of how the ENSO might have evolved over geological timescales is still lacking, despite a well-accepted recognition that such an understanding has direct implications for constraining human-induced future ENSO changes. Here, using climate simulations, we show that ENSO has been a leading mode of tropical sea surface temperature (SST) variability in the past 250 My but with substantial variations in amplitude across geological periods. We show this result by performing and analyzing a series of coupled time-slice climate simulations forced by paleogeography, atmospheric CO2 concentrations, and solar radiation for the past 250 My, in 10-My intervals. The variations in ENSO amplitude across geological periods are little related to mean equatorial zonal SST gradient or global mean surface temperature of the respective periods but are primarily determined by interperiod difference in the background thermocline depth, according to a linear stability analysis. In addition, variations in atmospheric noise serve as an independent contributing factor to ENSO variations across intergeological periods. The two factors together explain about 76% of the interperiod variations in ENSO amplitude over the past 250 My. Our findings support the importance of changing ocean vertical thermal structure and atmospheric noise in influencing projected future ENSO change and its uncertainty. [ABSTRACT FROM AUTHOR]

Aim: To assess mesenchymal stem cells (MSCs) as carriers for HIF-1α siRNA-loaded nanoparticles (NPs) for targeted therapy of experimental choroidal neovascularization (CNV). Materials & methods: A poly (lactic-co-glycolic acid) (PLGA)-core/lipid-shell hybrid NP was designed. The transfection efficacy of MSCs with the hybrid NPs was assessed. Mice were intravenously injected with MSCs after laser photocoagulation and CNV was assessed at 7 days post-injection. Results & conclusion: The transfection efficiency of hybrid NPs into MSCs was 72.7%. HIF-1α mRNA expression in 661w cells co-cultured with MSC-hybrid-siRNA NPs was significantly lower. Intravenous delivery of MSC-hybrid-siRNA NPs greatly reduced CNV area and length. Intravenous injection of MSC-hybrid-siRNA NPs achieved therapeutic efficacy in reducing CNV area. The MSC-mediated homing enabled targeted inhibition of ocular angiogenesis. Article highlights A HIF-1α siRNA-loaded PLGA@lipid hybrid nanoparticles system was designed. An MSC-mediated biodegradable hybrid nanoparticle system for targeted delivery of HIF-1α siRNA was developed. The MSC-mediated homing enabled targeted ocular angiogenesis. MSCs can be potentially exploited as an ideal drug delivery system, a so-called Trojan horse strategy. Systemic administration of MSCs loaded with nanoparticles inhibited pathological angiogenesis. Integration of advanced nanomaterials with cell-based platforms can amplify the overall therapeutic impact. MSCs can be safely delivered without triggering a major immune reaction. The ability of MSCs to specifically migrate to CNV without accrual in other organs. [ABSTRACT FROM AUTHOR]

Objectives: We aimed to explore the correlation between thyroid function and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). Methods: A total of 7516 T2DM patients were enrolled and grouped according to DKD status. Clinical parameters, including blood glucose parameters, thyroid function, and indicators of renal impairment, were collected and compared between the DKD and Non-DKD groups. Correlation analysis and univariate/multivariate logistic regression analyses were performed. Results: Age, T2DM duration, the use of insulin and lipid-lowering drugs, systolic and diastolic blood pressure, body mass index, and fasting blood glucose levels were greater in the DKD group than in the Non-DKD group (p < 0.001). Notably, compared with those in the Non-DKD group, patients in the DKD group had lower triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), and free thyroxine (FT4) levels and higher thyrotropin levels (p < 0.001). Univariate logistic regression analysis revealed that T3, T4, FT3, and FT4 levels were negatively correlated with the risk of DKD. Spearman correlation analysis confirmed that T3, T4, FT3, and FT4 levels were negatively correlated with blood urea nitrogen levels, blood creatinine levels, and the urinary albumin-to-creatinine ratio (p < 0.05). Multivariate logistic regression analysis revealed that a greater FT4 level was a protective factor against DKD in T2DM patients, especially in males, with a cut-off value of 13.35 pmol/L (area under the curve = 0.604). Conclusions: Thyroid hormone levels, especially FT4 levels, were significantly negatively correlated with DKD in T2DM patients. [ABSTRACT FROM AUTHOR]

Uterine tumor resembling ovarian sex-cord tumor (UTROSCT) is a rare gynecological tumor which has undetermined pathogenesis but with distinct polyphenotypic immuno-histochemical expressions. According to the limited cases and follow-up information in the relevant literatures, most of the tumors exhibit indolent or low malignant clinical course and the outcomes of the patients with the tumors generally have a good ending. But for the subset of UTROSCT with aggressive characters, the outcomes of the patients with recurrent neoplasm were not always satisfactory. This case report reported neoplasm recurrence in the pelvic cavity after 53 months of surgery and irregular followup. The recurrent neoplasm grew in an invasive manner. The arrangement of the recurrent neoplasm cells was closer, the nucleus atypia was more pronounced, and the cells demonstrated a more briskly mitotic activity (10 mitotic figures per ten highpowered fields, 10 mitotic figures/10 HPF). The Ki67 index increased significantly. Both the clinical characteristics and histological morphology of the recurrent neoplastic cells showed a more malignant behavior. The patient received a palliative resection of pelvic mass and bilateral oophorectomy, and she died of intestinal obstruction caused by the recurrent disease 9 months postoperatively. UTROSCT with characters for the aggressive process should deserve more attention. Once it relapses, the recurrent tumor of UTROSCT might show a higher malignant tendency and a poor prognosis. Gynecologists and pathologists need to analyze the clinical and histologic assessment in collaboration and better evaluate UTROSCT with aggressive characters. [ABSTRACT FROM AUTHOR]

Background: Obesity and metabolic syndrome (MetS) have become urgent worldwide health problems, predisposing patients to unfavorable myocardial status and thyroid dysfunction. Low-carbohydrate diet (LCD) and time-restricted eating (TRE) have been confirmed to be effective methods for weight management and improving MetS, but their effects on the myocardium and thyroid are unclear. Methods: We conducted a secondary analysis in a randomized clinical diet-induced weight-loss trial. Participants (N = 169) diagnosed with MetS were randomized to the LCD group, the 8 h TRE group, or the combination of the LCD and TRE group for 3 months. Myocardial enzymes and thyroid function were tested before and after the intervention. Pearson's or Spearman's correlation was assessed between functions of the myocardium and thyroid and cardiometabolic parameters at baseline. Results: A total of 162 participants who began the trial were included in the intention-to-treat (ITT) analysis, and 57 participants who adhered to their assigned protocol were involved in the per-protocol (PP) analysis. Relative to baseline, lactate dehydrogenase, creatine kinase MB, hydroxybutyrate dehydrogenase, and free triiodothyronine (FT3) declined, and free thyroxine (FT4) increased after all 3 interventions (both analyses). Creatine kinase (CK) decreased only in the TRE (− 18 [44] U/L, P < 0.001) and combination (− 22 [64] U/L, P = 0.003) groups (PP analysis). Thyrotropin (− 0.24 [0.83] μIU/mL, P = 0.011) and T3 (− 0.10 ± 0.04 ng/mL, P = 0.011) decreased in the combination group (ITT analysis). T4 (0.82 ± 0.39 μg/dL, P = 0.046), thyroglobulin antibodies (TgAb, 2 [1] %, P = 0.021), and thyroid microsomal antibodies (TMAb, 2 [2] %, P < 0.001) increased, while the T3/T4 ratio (− 0.01 ± 0.01, P = 0.020) decreased only in the TRE group (PP analysis). However, no significant difference between groups was observed in either analysis. At baseline, CK was positively correlated with the visceral fat area. FT3 was positively associated with triglycerides and total cholesterol. FT4 was negatively related to insulin and C-peptide levels. TgAb and TMAb were negatively correlated with the waist-to-hip ratio. Conclusions: TRE with or without LCD confers remarkable metabolic benefits on myocardial status and thyroid function in subjects with MetS. Trial registration: ClinicalTrials.gov, NCT04475822. [ABSTRACT FROM AUTHOR]

Key Clinical Message: High‐dose acarbose may increase the risk of diabetic ketosis/diabetic ketoacidosis in Asian patients on sodium‐glucose cotransporter‐2 inhibitors. Healthcare providers and patients should be cautious to avoid this combination. Low‐calorie diets should be avoided in patients receiving sodium‐glucose cotransporter‐2 (SGLT‐2) inhibitors to decrease the risk of diabetic ketoacidosis (DKA). High‐dose acarbose can decelerate carbohydrate absorption. We detail three cases of diabetic ketosis (DK) following concurrent SGLT‐2 inhibitor and high‐dose acarbose therapy (acarbose 300 mg/day and dapagliflozin 10 mg/day). Patients, aged 38–63 years with 3–10 years of type 2 diabetes mellitus (T2DM), developed DK, indicated by moderate urinary ketones and high glucose (urine ketone 2+ to 3+ and glucose 3+ to 4+) without acidosis, within 4 days to 1 month post‐therapy initiation. Serum glucose was 172.8–253.8 mg/dL; HbA1c was 9.97%–10.80%. The combination therapy was halted, and DK was managed with low‐dose intravenous insulin and fluids, followed by intensive insulin therapy. High‐dose acarbose with SGLT‐2 inhibitors may increase the risk of DK/DKA in Asian patients. [ABSTRACT FROM AUTHOR]

Introduction: The long-acting insulin analogue insulin degludec (IDeg) is increasingly recommended for type two diabetes (T2DM), yet clinical experience in China remains limited. This retrospective study aimed to delineate the initiation strategy for IDeg in Chinese hospitalized patients with T2DM. Methods: We retrospectively analyzed 217 Chinese hospitalized patients with T2DM who initiated IDeg from December 2018 to June 2020, calculating the initial dose and examining correlations between clinical characteristics and glucose profiles. Results: The initial IDeg doses ranged from 0.15 to 0.18 IU/kg·d, showing no association with clinical characteristics. During titration, mean blood glucose levels (MEAN) correlated positively with diabetes duration, age, and Glycosylated Hemoglobin (HbA1c), and negatively with body mass index (BMI), triglycerides (TG), and low-density lipoprotein (LDL). The coefficient of variation (CV) in glucose levels correlated positively with HbA1c and negatively with BMI and TG. The mean amplitude of glycemic excursions (MAGE) mirrored these trends, with additional negative correlations to estimated glomerular filtration rate (eGFR) and serum albumin (ALB). Notably, glycemic variability parameters did not correlate with the presence of diabetic ketoacidosis (DKA) at admission. Hypoglycemia was observed in 21 patients, with differences in MEAN and CV during titration being the only significant findings. Conclusion: The initial IDeg dosing was inadequate and not tailored to clinical features, and there were weak correlations between diabetes duration, age, BMI, eGFR, LDL, and ALB levels and glucose profile post-initiation. [ABSTRACT FROM AUTHOR]

(Trifluoromethyl)sulfanylamides are an important class of organic compounds that are common among natural products and drug molecules. Here, we report a (trifluoromethyl)sulfanylation reaction using silver(I) (trifluoromethyl)sulfide as a free-radical (trifluoromethyl)sulfanylation reagent for β-amide compounds. This reaction does not require stoichiometric oxidants or additional transition-metal catalysts, and can be achieved by adding common organic acids. This method has excellent applicability and can accommodate several functional groups, including ester groups, acyl groups, and even bromo or iodo groups. Heterocyclic α,β-amides can also be readily converted into the corresponding products. This reaction also provides a new method for the synthesis of deuterated (trifluoromethyl)sulfanylamides. [ABSTRACT FROM AUTHOR]

Background: The Montreal Cognitive Assessment (MoCA) is a valuable tool for detecting cognitive impairment, widely used in many countries. However, there is still a lack of large sample normative data and whose cut-off values for detecting cognitive impairment is considerable controversy. Methods: The assessment conducted in this study utilizes the MoCA scale, specifically employing the Mandarin-8.1 version. This study recruited a total of 3,097 healthy adults aged over 20 years. We performed multiple linear regression analysis, incorporating age, gender, and education level as predictor variables, to examine their associations with the MoCA total score and subdomain scores. Subsequently, we established normative values stratified by age and education level. Finally, we included 242 patients with vascular cognitive impairment (VCI) and 137 controls with normal cognition, and determined the optimal cut-off value of VCI through ROC curves. Results: The participants in this study exhibit a balanced gender distribution, with an average age of 54.46 years (SD = 14.38) and an average education period of 9.49 years (SD = 4.61). The study population demonstrates an average MoCA score of 23.25 points (SD = 4.82). The multiple linear regression analysis indicates that MoCA total score is influenced by age and education level, collectively accounting for 46.8% of the total variance. Higher age and lower education level are correlated with lower MoCA total scores. A score of 22 is the optimal cut-off value for diagnosing vascular cognitive impairment (VCI). Conclusion: This study offered normative MoCA values specific to the Chinese adults. Furthermore, this study indicated that a score of 26 may not represent the most optimal cut-off value for VCI. And for detecting VCI, a score of 22 may be a better cut-off value. [ABSTRACT FROM AUTHOR]

A prerequisite to ensure the stability of the power supply system is suitable functioning of transmission line equipment. However, the increasing deployment of transmission lines in modern power systems has introduced significant challenges to line inspection. While deep learning-based image detection techniques have shown promise in improving the efficiency and accuracy of insulator detection, they often require substantial computational resources and energy. This limitation hinders the consistent guarantee of accuracy and real-time performance on resource-constrained drones. To address this issue, this paper investigates the co-optimization problem of energy consumption and analytic accuracy in insulator image detection on unmanned aerial vehicles (UAVs). We propose a latency-aware end-edge cooperative insulator detection task offloading scheme with high energy efficiency and accuracy that aims to achieve optimal performance. Initially, we conducted an experimental analysis to examine the influence of input image resolution on the accuracy and latency of the CNN-based insulation detection model. Subsequently, we develop a model that takes into account the latency, analytic accuracy and energy consumption for image detection task offloading. Finally, we formalized a nonlinear integer optimization problem and designed a particle swarm optimization (PSO)-based task offloading scheme to optimize task accuracy and energy consumption while adhering to latency constraints. Extensive experiments validated the effectiveness of the proposed end-edge cooperative insulator detection method in optimizing accuracy and energy consumption. [ABSTRACT FROM AUTHOR]

Background: More than 90% of colorectal cancer (CRC) arises from advanced adenomas (AA) and gut microbes are closely associated with the initiation and progression of both AA and CRC. Objective: To analyze the characteristic microbes in AA. Methods: Fecal samples were collected from 92 AA and 184 negative control (NC). Illumina HiSeq X sequencing platform was used for high-throughput sequencing of microbial populations. The sequencing results were annotated and compared with NCBI RefSeq database to find the microbial characteristics of AA. R-vegan package was used to analyze α diversity and β diversity. α diversity included box diagram, and β diversity included Principal Component Analysis (PCA), principal co-ordinates analysis (PCoA), and non-metric multidimensional scaling (NMDS). The AA risk prediction models were constructed based on six kinds of machine learning algorithms. In addition, unsupervised clustering methods were used to classify bacteria and viruses. Finally, the characteristics of bacteria and viruses in different subtypes were analyzed. Results: The abundance of Prevotella sp900557255, Alistipes putredinis, and Megamonas funiformis were higher in AA, while the abundance of Lilyvirus, Felixounavirus, and Drulisvirus were also higher in AA. The Catboost based model for predicting the risk of AA has the highest accuracy (bacteria test set: 87.27%; virus test set: 83.33%). In addition, 4 subtypes (B1V1, B1V2, B2V1, and B2V2) were distinguished based on the abundance of gut bacteria and enteroviruses (EVs). Escherichia coli D, Prevotella sp900557255, CAG-180 sp000432435, Phocaeicola plebeiuA, Teseptimavirus, Svunavirus, Felixounavirus, and Jiaodavirus are the characteristic bacteria and viruses of 4 subtypes. The results of Catboost model indicated that the accuracy of prediction improved after incorporating subtypes. The accuracy of discovery sets was 100%, 96.34%, 100%, and 98.46% in 4 subtypes, respectively. Conclusion: Prevotella sp900557255 and Felixounavirus have high value in early warning of AA. As promising non-invasive biomarkers, gut microbes can become potential diagnostic targets for AA, and the accuracy of predicting AA can be improved by typing. Highlights: The bacteria (including Prevotella sp900557255, Alistipes putredinis, Megamonas funiformis, etc.) and viruses (including Lilyvirus, Felixounavirus, and Drulisvirus, etc.) existed differences in AA. And there were correlations between AA and basic information, lipid index and serological index. Prediction models based on bacteria and viruses were established to distinguish AA, and the accuracy reached 87.27% and 83.33%. A new typing method was established based on bacteria and viruses to divide gut microbes into 4 subtypes. Prediction models after typing had higher accuracy (100% in B1V1, 96.34% in B1V2, 100% in B2V1, 98.46% in B2V2). [ABSTRACT FROM AUTHOR]

Background: Pancreatic cancer (PCA) is an extremely aggressive malignant cancer with an increasing incidence and a low five‐year survival rate. The main reason for this high mortality is that most patients are diagnosed with PCA at an advanced stage, missing early treatment options and opportunities. As important nutrients of the human body, trace elements play an important role in maintaining normal physiological functions. Moreover, trace elements are closely related to many diseases, including PCA. Review: This review systematically summarizes the latest research progress on selenium, copper, arsenic, and manganese in PCA, elucidates their application in PCA, and provides a new reference for the prevention, diagnosis and treatment of PCA. Conclusion: Trace elements such as selenium, copper, arsenic and manganese are playing an important role in the risk, pathogenesis, diagnosis and treatment of PCA. Meanwhile, they have a certain inhibitory effect on PCA, the mechanism mainly includes: promoting ferroptosis, inducing apoptosis, inhibiting metastasis, and inhibiting excessive proliferation. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer (CRC) is one of the most common cancers worldwide. In the treatment of patients with CRC, oxaliplatin plays a pivotal role, with moderate side effects. Neurotoxicity, myelosuppression, ototoxicity, delayed hypersensitivity reactions, and rhabdomyolysis induced by oxaliplatin have been reported individually. However, the occurrence of oxaliplatin-induced ascites has not been reported previously. The objectives of this case report were to elaborate on the rare occurrence of ascites in a patient with CRC after oxaliplatin therapy and to explore its characteristics and causes. Case description: We report on a case of upper rectal cancer seen in a 65-yearold man who underwent robotic-assisted laparoscopic anterior rectal resection. The patient developed ascites during postoperative adjuvant therapy with oxaliplatin and capecitabine. We ruled out tumor recurrence by laparoscopy, intraoperative biopsy, and biochemistry of the ascites. The patient did not experience a recurrence of ascites after discontinuation of chemotherapy. Conclusion: This case suggests that chemotherapy with oxaliplatin might cause ascites. The mechanism of the oxaliplatin-induced liver injury was further discussed, which might have been the cause of ascite formation. When patients with CRCwho underwent chemotherapy with oxaliplatin develop ascites, surgeons should actively determine whether this is a side effect of chemotherapy or is due to tumor recurrence in order to avoid unnecessary surgery. [ABSTRACT FROM AUTHOR]

The main cause of corneal blindness worldwide is keratitis, especially the infectious form caused by bacteria, fungi, viruses, and Acanthamoeba. The key to effective management of infectious keratitis hinges on prompt and precise diagnosis. Nevertheless, the current gold standard, such as cultures of corneal scrapings, remains time-consuming and frequently yields false-negative results. Here, using 23,055 slit-lamp images collected from 12 clinical centers nationwide, this study constructed a clinically feasible deep learning system, DeepIK, that could emulate the diagnostic process of a human expert to identify and differentiate bacterial, fungal, viral, amebic, and noninfectious keratitis. DeepIK exhibited remarkable performance in internal, external, and prospective datasets (all areas under the receiver operating characteristic curves > 0.96) and outperformed three other state-of-the-art algorithms (DenseNet121, InceptionResNetV2, and Swin-Transformer). Our study indicates that DeepIK possesses the capability to assist ophthalmologists in accurately and swiftly identifying various infectious keratitis types from slit-lamp images, thereby facilitating timely and targeted treatment. [ABSTRACT FROM AUTHOR]

3‐Indole‐3‐one is a key intermediate in the synthesis of many drugs and plays an important role in synthetic chemistry and biochemistry. A new method for synthesizing trifluoromethylated 3‐indoleketones by Pd(0)‐catalyzed carbonylation was introduced. In the absence of additives, 1‐chloro‐3,3,3‐trifluoropropyl (an inexpensive and environmentally friendly synthetic block of trifluoromethyl) reacts with indole and carbon monoxide to generate trifluoromethylindole ketones with good yields, regioselectivity, and chemical selectivity; furthermore, the products exhibit strong resistance to basic functional groups, such as alkynes, aldehydes, and esters. In addition to the conversion of indole compounds into corresponding products, pyrrole and heteroindole may be suitable for corresponding chemical transformations. This study provides a synthetic method for the further construction of trifluoromethylated 3‐indole ketones. [ABSTRACT FROM AUTHOR]

DNA has emerged as an appealing material for information storage due to its great storage density and durability. Random reading and rewriting are essential tasks for practical large‐scale data storage. However, they are currently difficult to implement simultaneously in a single DNA‐based storage system, strongly limiting their practicability. Here, a "Cell Disk" storage system is presented, achieving high‐density in vivo DNA data storage that enables both random reading and rewriting. In this system, each yeast cell is used as a chamber to store information, similar to a "disk block" but with the ability to self‐replicate. Specifically, each genome of yeast cell has a customized CRISPR/Cas9‐based "lock‐and‐key" module inserted, which allows selective retrieval, erasure, or rewriting of the targeted cell "block" from a pool of cells ("disk"). Additionally, a codec algorithm with lossless compression ability is developed to improve the information density of each cell "block". As a proof of concept, target‐specific reading and rewriting of the compressed data from a mimic cell "disk" comprising up to 105 "blocks" are demonstrated and achieve high specificity and reliability. The "Cell Disk" system described here concurrently supports random reading and rewriting, and it should have great scalability for practical data storage use. [ABSTRACT FROM AUTHOR]

Acrylamides are a class of important organic compounds that play key roles in biomedical chemistry, materials science, life science, and other fields. Due to the strong electron‐withdrawing effect of trifluoromethyl, the synthesis of trifluoromethylated acrylamides, especially those containing double bonds, has long been a challenge. Here, we report an example of the formation of trifluoromethyl acrylamides through palladium catalyzedcarbonylation of fluorinated olefins. By optimizing the reaction conditions, we can obtain different amide compounds, including alkyl acrylamides. aromatic acrylamides and heterocyclic acrylamides. This method has good substrate adaptability and functional group tolerance,so it is expected to be used in the synthesis of key amides in the fields of medicine and other fields. [ABSTRACT FROM AUTHOR]

Deoxyribonucleic acid (DNA) has been suggested as a very promising medium for data storage in recent years. Although numerous studies have advocated for DNA data storage, its practical application remains obscure and there is a lack of a user‐oriented platform. Here, we developed a DNA data storage platform, named Storage‐D, which allows users to convert their data into DNA sequences of any length and vice versa by selecting algorithms, error‐correction, random‐access, and codec pin strategies in terms of their own choice. It incorporates a newly designed "Wukong" algorithm, which provides over 20 trillion codec pins for data privacy use. This algorithm can also control GC content to the selected standard, as well as adjust the homopolymer run length to a defined level, while maintaining a high coding potential of ~1.98 bis/nt, allowing it to outperform previous algorithms. By connecting to a commercial DNA synthesis and sequencing platform with "Storage‐D," we successfully stored "Diagnosis and treatment protocol for COVID‐19 patients" into 200 nt oligo pools in vitro, and 500 bp genes in vivo which replicated in both normal and extreme bacteria. Together, this platform allows for practical and personalized DNA data storage, potentially with a wide range of applications. Highlights: Deoxyribonucleic acid (DNA) data storage exhibits remarkable advantages, such as high density and long lifespan, and is suggested to be one of the most promising media for coping with future data storage crises.A user‐friendly platform, "Storage‐D" was developed, which enables users to store any format of practical data with personalized choice.Specifically, a new algorithm, named "Wukong" was developed, which contains a sizeable collection of codec pins that enables encoding data into any DNA sequence with considerable privacy.The "Wukong" algorithm shows overall better performance than earlier algorithms in encoding a suitable length of DNA sequence matching downstream biochemical working flow for in vitro and in vivo storage.The tool provides an open‐frame for integrating other codec algorithms and can be easily connected to commercial DNA synthesis and sequencing platform for building a complete pipeline for practical data storage into DNA. The web server and codes of the platform are available at http://storage.dailab.xyz:16666/ and https://github.com/DNAstorage-iSynBio/Storage-D/, respectively. [ABSTRACT FROM AUTHOR]

Objective: To find efficient cuproptosis-related biomarkers to explore the oncogenesis and progression of oral squamous cell carcinoma (OSCC). Methods: All the original data were downloaded from the Cancer Genome Atlas (TCGA) database. Univariate Cox analysis and Kaplan-Meier survival analysis were used to identify the gene related to survival. Tumor Immune Estimation Resource 2.0 (TIMER 2.0) was used to reveal the different expression of cuproptosis-related gene lipoyltransferase 1 (LIPT1) in various kinds of tumours. Results: LIPT1, as a cuproptosis-related gene, was found to be differentially expressed in the OSCC group and the control group. It was also found to be related to the prognosis of OSCC. Pan cancer analysis showed LIPT1 was also involved in various kinds of tumours. Conclusion: All the results demonstrate that the cuproptosis-related gene LIPT1 is highly involved in the oncogenesis and progression of OSCC. These findings give new insight for further research into the cuproptosis-related biomarkers in OSCC. [ABSTRACT FROM AUTHOR]

In this paper, a novel fusion network for automatic modulation classification (AMC) is proposed in underwater acoustic communication, which consists of a Transformer and depth-wise convolution (DWC) network. Transformer breaks the limitation of sequential signal input and establishes the connection between different modulations in a parallel manner. Its attention mechanism can improve the modulation recognition ability by focusing on the key information. DWC is regularly inserted in the Transformer network to constitute a spatial-temporal structure, which can enhance the classification results at lower signal-to-noise ratios (SNRs). The proposed method can obtain more deep features of underwater acoustic signals. The experiment results achieve an average of 92.1% at -4 dB = SNR = 0 dB, which exceed other state-of-the-art neural networks. [ABSTRACT FROM AUTHOR]

Cellular traction forces (CTFs) are generated by adherent cells and involved in regulating migration, morphology, and homeostasis. Accurate measurement of CTFs is crucial for understanding fundamental biological processes such as morphogenesis, angiogenesis, and wound healing. However, directly measuring CTFs, which typically range in the nanonewton scale, is challenging. Cellular traction force microscopy (TFM) has been developed to quantify CTFs, but detailed operational procedures and complex data analysis limit its applicability. In this study, hydrogels embedded with fluo-spheres serve as the substrate for TFM measurement under a detailed TFM protocol. Additionally, we designed a user-friendly program for easy parameter setting. An open-source program called Python Fourier transform traction cytometry (pyFTTC) is introduced for data analysis, utilizing particle image velocimetry (PIV) to calculate the traction force from a batch of images. Cross-correlation based PIV and L2-regularized FTTC are applied to all images for data analysis. This article provides a straightforward protocol for quantifying CTFs in standard laboratories, facilitating both cell biology studies and biomaterials development. [ABSTRACT FROM AUTHOR]

Cisplatin-containing combination chemotherapy has been used as the standard treatment for bladder cancer patients at advanced stage. However, nearly 50% of patients are nonresponders. To guide the selection of more effective chemotherapeutic agents, a bladder cancer spheroids microfluidic drug sensitivity analysis system was established in this study. Bladder cancer spheroids were established and successfully cultured in a customized microfluidic device to assess their response to different chemotherapeutic agents. The in vitro drug sensitivity results were also compared to patient-derived xenograft (PDX) models and clinical responses of patients. As a result, bladder cancer spheroids faithfully recapitulate the histopathological and genetic features of their corresponding parental tumors. Furthermore, the in vitro drug sensitivity outcomes of spheroids (n = 8) demonstrated a high level of correlation with the PDX (n = 2) and clinical response in patients (n = 2). Our study highlights the potential of combining bladder cancer spheroids and microfluidic devices as an efficient and accurate platform for personalized selection of chemotherapeutic agents. [ABSTRACT FROM AUTHOR]

The rapid advancement of human stem cell research and its expansion into emerging areas has resulted in an escalation of ethical challenges associated with these studies. As a result, there has been a corresponding increase in both the volume and complexity of institutional ethics reviews, coupled with higher expectations for the quality of the review process. In response to these challenges, this standard provides a comprehensive outline of the fundamental principles, content, types, and procedures of ethics review, specifically focusing on non-clinical human stem cell research. Its purpose is to provide clear operational and procedural guidelines, as well as recommendations, for the ethics review of such studies. The document was originally published by the Chinese Society for Cell Biology on August 30, 2022. It is our hope that the publication of these guidelines will facilitate the integration of ethical considerations and evaluations in a structured manner throughout the entire process of stem cell research, ultimately fostering a healthy and orderly development of the field. [ABSTRACT FROM AUTHOR]

We investigated the changes in internal flexibility of amyloid-β1–40 (Aβ) fibrils grown in the presence of rat synaptic plasma vesicles. The fibrils are produced using a modified seeded growth protocol, in which the Aβ concentration is progressively increased at the expense of the decreased lipid to protein ratio. The morphologies of each generation are carefully assessed at several fibrils' growth time points using transmission electron microscopy. The side-chain dynamics in the fibrils is investigated using deuterium solid-state NMR measurements, with techniques spanning line shapes analysis and several NMR relaxation rates measurements. The dynamics is probed in the site-specific fashion in the hydrophobic C-terminal domain and the disordered N-terminal domain. An overall strong rigidifying effect is observed in comparison with the wild-type fibrils generated in the absence of the membranes. In particular, the overall large-scale fluctuations of the N-terminal domain are significantly reduced, and the activation energies of rotameric inter-conversion in methyl-bearing side-chains of the core (L17, L34, M35, V36), as well as the ring-flipping motions of F19 are increased, indicating a restricted core environment. Membrane-induced flexibility changes in Aβ aggregates can be important for the re-alignment of protein aggregates within the membrane, which in turn would act as a disruption pathway of the bilayers' integrity. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to reveal the function of the long non-coding RNA (lncRNA) RP11-556E13.1 (RP11) and its clinical significance in hepatocellular carcinoma (HCC). Methods: LncRNA and mRNA expression profiling was performed using lncRNA and mRNA microarrays in HCC and adjacent tissues. Human tissue samples were analyzed by semiquantitative real-time polymerase chain reaction (sqRT-PCR) to evaluate the expression of RP11. Smart silencer RNA (siRNA) was used to knockdown the expression of RP11 in HCC cells. The function of RP11 was determined by some cell function experiments in HCC cells. Western blotting (WB) was performed to detect proteins that were presumably associated with these function changes. An Affymetrix Human HTA2.0 microarray was used to detect the underlying mechanism of RP11 in HCC. Results: lncRNA RP11 was the most significantly upregulated lncRNA in HCC tissues compared with the adjacent tissues (p < 0.05, fold change = 20.24). The expression of RP11 was significantly higher in HCC tissues compared to adjacent tissues in 112 tissue pairs (p < 0.05). The higher the expression of RP11 in HCC tissues, the bigger the tumor size, the poorer the histological differentiation, and the lower the overall survival rate of the patients (all p < 0.05). After the knockdown of RP11, HCC cells displayed inhibited proliferation, increased apoptosis rate, and G1/S arrest. Moreover, the expression of cleaved PARP1 and cleaved caspase-3 was increased. GO enrichment and KEGG pathway enrichment analysis showed some important pathways that might be related to the knockdown of RP11 in HCC cells. Conclusions: lncRNA RP11 is an HCC-promoting gene and a potential prognostic predictor of HCC. [ABSTRACT FROM AUTHOR]

In previous study, we found that the cholesterol requirement of Eriocheir sinensis was 0.27%, to further investigate the effects of cholesterol on health status, ovarian maturation, and lipid metabolism of female Eriocheir sinensis broodstock. Two diets containing 0% and 0.25% (actually 0.05% and 0.27%) cholesterol were fed to the female crabs (average weight: 49.21 ± 0.11 g) for 4 months and sampled once a month. The results showed that the body weight (BW), survival rate (SR), meat yield (MY), condition factor (CF), hepatosomatic index (HSI), and gonadosomatic index (GSI) of Eriocheir sinensis were significantly affected by treatment time and compared with the cholesterol deficient group, supplementing cholesterol significantly increased BW, HSI, and GSI (P < 0.05). In addition, long-term lack of cholesterol will lead to a significant decrease in the activity of ACP, AKP, and SOD and a significant increase in the content of MDA. The histological results showed that cholesterol significantly increased the volume of oocytes (P < 0.05). Further studies found that 0.27% cholesterol significantly increased the transcription levels of vtg and vgr in hepatopancreas and ovaries, which may be the main reason for the increase of oocyte size (P < 0.05). When fed with 0.27% cholesterol diet, the contents of nutrients in hepatopancreas and ovaries increased significantly, especially lipids and cholesterol (P < 0.05). Through the analysis of mRNA expression level of genes related to lipid metabolism, it was found that cholesterol enhanced the transcription level of genes related to lipid synthesis and transport in hepatopancreas, thereby promoting the accumulation of lipid in the organism. Furthermore, compared with control group, the levels of juvenile hormone (JH), 17β-estradiol (E2), methyl farnesoate (MF), and ecdysone in the organism were significantly increased after feeding a diet with 0.27% cholesterol (P < 0.05). In summary, supplementing an appropriate amount of cholesterol in the diet can improve the growth performance of Eriocheir sinensis broodstock, enhance the body's antioxidant and immune system, and promote the accumulation of nutrients in the ovaries, thereby promoting ovarian maturation. [ABSTRACT FROM AUTHOR]

Photoreceptor cell death, primarily through apoptosis, related to retinal disorders like retinitis pigmentosa (RP), would result in vision loss. The pathological processes and crucial mutant conditions preceding photoreceptor cell demise are not well understood. This study aims to conduct an in-depth examination of early-stage changes in the widely utilized Pde6brd1/rd1 (rd1) mouse model, which has Pde6b gene mutations representing autosomal recessive RP disorder. We investigated the morphology and ultrastructure of retinal cells, including second-order neurons, during the initial phase of disease progression. Our findings revealed that mitochondrial alterations in rod photoreceptors were present as a predeath mutant state as early as postnatal day 3 (P3). The bipolar and horizontal cells from the rd1 mouse retina exhibited significant morphological changes in response to loss of photoreceptor cells, indicating that second-order neurons rely on these cells for their structures. Subsequent oral administration of idebenone, a mitochondria-protective agent, enhanced retinal function and promoted both photoreceptor cell survival and inner retinal second-order synaptogenesis in rd1 mice at P14. Our findings offer a mechanistic framework, suggesting that mitochondrial damage acts as an early driver for photoreceptor cell death in retinal degeneration. [ABSTRACT FROM AUTHOR]

The utilization of titanium dioxide (TiO2) as a photocatalyst for the treatment of wastewater has attracted significant attention in the environmental field. Herein, we prepared an NH2-MIL-125-derived N-doped TiO2@C Visible Light Catalyst through an in situ calcination method. The nitrogen element in the organic connector was released through calcination, simultaneously doping into the sample, thereby enhancing its spectral response to cover the visible region. The as-prepared N-doped TiO2@C catalyst exhibited a preserved cage structure even after calcination, thereby alleviating the optical shielding effect and further augmenting its photocatalytic performance by increasing the reaction sites between the catalyst and pollutants. The calcination time of the N-doped TiO2@C-450 °C catalyst was optimized to achieve a balance between the TiO2 content and nitrogen doping level, ensuring efficient degradation rates for basic fuchsin (99.7%), Rhodamine B (89.9%) and tetracycline hydrochloride (93%) within 90 min. Thus, this study presents a feasible strategy for the efficient degradation of pollutants under visible light. [ABSTRACT FROM AUTHOR]

Phosphorus-solubilizing microbes play key roles in improving phosphorus availability and in alleviating phosphorus nutrient limitation in soils. However, we did not have a comprehensive understanding of the overall research progress and development trend of phosphorus solubilizing microorganisms. In this study, we obtain documents from the Web of Science (WOS) core collection between 2002 and 2022, and a comprehensive review of the progress of global research on soil phosphate solubilizing microorganisms was conducted by using the VOSviewer bibliometric analysis tool. The results showed an increasing trend in the number of published articles from 2002 to 2022. India, accounting for 28% of the total number of published articles, became the most productive country. However, Canada was the country with the highest average citation frequency of articles. Chinese Academy of Sciences (CAS) was the greatest contributor with the most publications. Among the published journals, Frontiers in Microbiology, Applied Soil Ecology and Plant and Soil were the top three core journals in this field. Based on the keyword analysis, the assessment of the mechanisms between phosphorus solubilizing microbes and the soil carbon cycles with the different management practices became the new research trend among the scientific communities. These findings would provide an important reference value for future in-depth research on soil phosphate solubilizing microorganisms. [ABSTRACT FROM AUTHOR]

Some evidence have suggested that various nutrients and inflammatory factors might influence the lower urinary tract function. However, the correlation between diet and urinary flow rate (UFR) is not clear. Our study aimed to evaluate the association between the dietary inflammatory index (DII) and UFR. We performed a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) database from 2009-2016. The dependent and independent variables were UFR and DII score, respectively. Dietary information was collected by 24-hour dietary recall interviews method, and DII scores were computed based on it. Tertiles group was divided according to DII scores. The study included 17,114 participants for whom data on DII and UFR were available, with a mean age of 35.68 ± 20.96 years. Participants with higher DII score presented lower UFR levels (β= -0.05; 95% CI: [-0.06-0.04]). In addition, the risk of UFR decline elevated significantly gradual across DII score tertiles (p for trend <0.001). Our findings revealed that increased intake of pro-inflammatory diet, as a higher DII score, is correlated with decreased UFR. These results might be useful for the public health system to provide primary prevention recommendations for lower urinary tract voiding problem, but further high-quality prospective research is needed. [ABSTRACT FROM AUTHOR]

With aging, the incidence of age-related diseases increases. Hence, age-related diseases are inevitable. However, the mechanisms by which aging leads to the onset and progression of age-related diseases remain unclear. It has been reported that inflammation is closely associated with age-related diseases and that the cGAS-STING signaling pathway, which can sense the aberrant presence of cytosolic DNA during aging and induce an inflammatory response, is an important mediator of inflammation in age-related diseases. With a better understanding of the structure and molecular biology of the cGAS-STING signaling axis, numerous selective inhibitors and agonists targeting the cGAS-STING pathway in human age-related diseases have been developed to modulate inflammatory responses. Here, we provide a narrative review of the activity of the cGASSTING pathway in age-related diseases and discuss its general mechanisms in the onset and progression of agerelated diseases. In addition, we outline treatments targeting the cGAS-STING pathway, which may constitute a potential therapeutic alternative for age-related diseases. [ABSTRACT FROM AUTHOR]

Automatic extraction of relations between drugs/chemicals and proteins from ever-growing biomedical literature is required to build up-to-date knowledge bases in biomedicine. To promote the development of automated methods, BioCreative-VII organized a shared task - the DrugProt track, to recognize drug-protein entity relations from PubMed abstracts. We participated in the shared task and leveraged deep learning-based transformer models pre-trained on biomedical data to build ensemble approaches to automatically extract drug-protein relation from biomedical literature. On the main corpora of 10,750 abstracts, our best system obtained an F1-score of 77.60% (ranked 4th among 30 participating teams), and on the large-scale corpus of 2.4M documents, our system achieved micro-averaged F1-score of 77.32% (ranked 2nd among 9 system submissions). This demonstrates the effectiveness of domain-specific transformer models and ensemble approaches for automatic relation extraction from biomedical literature. [ABSTRACT FROM AUTHOR]