A novel snake venom C-type lectin-like protein modulates blood coagulation by targeting von Willebrand factor and coagulation factor IX.

Snake venom C-type lectin-like proteins (CLPs) belong to the nonenzymatic proteins. To date, no CLP with both platelet and coagulation factors activating activities has been reported. In this study, a novel CLP, termed protocetin, with molecular weight of 29.986 kDa, was purified from the Protobothrops mucrosquamatus venom (PMV). It consists of α- and ß-chains, with 67% similarity in their N-terminal sequence. Protocetin activates glycoprotein Ib (GPIb) by binding to von Willebrand factor (vWF), inducing platelet aggregation. It also activates the intrinsic coagulation pathway by binding to coagulation factor IX. After injection of protocetin into mice at dose of 0.5 µg/g or 1.5 µg/g, it resulted in activation of platelets, a notable reduction in platelet count and prolonged tail bleeding time. Additionally, the plasma activated partial thromboplastin time (APTT) was significantly extended, and the fibrinogen concentration was markedly reduced. Thrombelastogram comfirmed the anticoagulation effect of protocetin. Notably, no microthrombosis was observed in tissues of lung, liver and kidney within 1 h after injection of protocetin into the mice at dose of 0.5 µg/g. This study revealed protocetin as a novel CLP from PMV that has dual functions in activating platelet and coagulation factor IX, thereby modulates coagulation in vivo. This work contributes to a better understanding of the structure and function of snake venom CLP.

Enhancing pectus excavatum diagnosis with an automated batch evaluation tool for chest computed tomography images.

We aimed to implement a fully automatic computed tomography (CT) image-detection programming algorithm as a pectus excavatum (PE) diagnostic tool, facilitating comprehensive chest wall deformity evaluation. We developed our algorithm using MATLAB, leveraging the Hounsfield unit threshold and region growing methods. The MATLAB graphical user interface enables the direct use of our program. We validated the model using CT images of anthropomorphic phantoms and one normal individual. The measurement values obtained by our algorithm demonstrated very small differences compared to the known anthropomorphic phantom model data and manual measurement. For algorithm testing, 17,214 chest CT scans obtained from 57 PE patients were processed by the algorithm and independently reviewed by a radiologist and a thoracic surgeon. The measurements of transverse, anteroposterior, and sternum-to-vertebral distance of the thoracic cavity, along with the calculated data of four indices, exhibited high positive correlations (0.94-0.99). The asymmetry index and maximum anteroposterior hemithorax distance exhibited moderate correlation (0.40-0.83). Our automatic PE diagnostic tool demonstrated high accuracy; four chest wall deformity indices were obtained simultaneously without any initial manual marking, correlating well with manual measurements.

Screening for early Alzheimer's disease: enhancing diagnosis with linguistic features and biomarkers.

Introduction: Research has shown that speech analysis demonstrates sensitivity in detecting early Alzheimer's disease (AD), but the relation between linguistic features and cognitive tests or biomarkers remains unclear. This study aimed to investigate how linguistic features help identify cognitive impairments in patients in the early stages of AD. Method: This study analyzed connected speech from 80 participants and categorized the participants into early-AD and normal control (NC) groups. The participants underwent amyloid-ß positron emission tomography scans, brain magnetic resonance imaging, and comprehensive neuropsychological testing. Participants' speech data from a picture description task were examined. A total of 15 linguistic features were analyzed to classify groups and predict cognitive performance. Results: We found notable linguistic differences between the early-AD and NC groups in lexical diversity, syntactic complexity, and language disfluency. Using machine learning classifiers (SVM, KNN, and RF), we achieved up to 88% accuracy in distinguishing early-AD patients from normal controls, with mean length of utterance (MLU) and long pauses ratio (LPR) serving as core linguistic indicators. Moreover, the integration of linguistic indicators with biomarkers significantly improved predictive accuracy for AD. Regression analysis also highlighted crucial linguistic features, such as MLU, LPR, Type-to-Token ratio (TTR), and passive construction ratio (PCR), which were sensitive to changes in cognitive function. Conclusion: Findings support the efficacy of linguistic analysis as a screening tool for the early detection of AD and the assessment of subtle cognitive decline. Integrating linguistic features with biomarkers significantly improved diagnostic accuracy.

Impact of an Epstein-Barr Virus Serology-Based Screening Program on Nasopharyngeal Carcinoma Mortality: A Cluster-Randomized Controlled Trial.

PURPOSE: Screening for nasopharyngeal carcinoma (NPC) has shown an improvement in early detection and survival rates of NPC in endemic regions. It is critical to evaluate whether NPC screening can reduce NPC-specific mortality in the population. METHODS: Sixteen towns in Sihui and Zhongshan cities, China, were selected; eight were randomly allocated to the screening group and eight to the control group. Residents age 30-69 years with no history of NPC were included from January 1, 2008, to December 31, 2015. Residents in the screening towns were invited to undergo serum Epstein-Barr virus (EBV) viral capsid antigen/nuclear antigen 1-immunoglobulin A antibody tests; others received no intervention. The population was followed until December 31, 2019. Nonparametric tests and Poisson regression models were used to estimate the screening effect on NPC mortality, accounting for the cluster-randomized design. The trial is registered with ClinicalTrials.gov (identifier: NCT00941538). RESULTS: A total of 174,943 residents in the screening group and 186,263 residents in the control group were included. NPC incidence and overall mortality were similar between the two groups. A total of 52,498 (30.0% of 174,943) residents participated in the serum EBV antibody test. The overall compliance rate for endoscopic examination and/or biopsies among baseline and ever-classified high-risk participants was 65.9% (1,110 of 1,685) and 67.6% (1,703 of 2,518), respectively. A significant 30% reduction in NPC mortality was observed in the screening group compared with the control group (standardized NPC-specific mortality rate of 8.2 NPC deaths per 1,000 person-years versus 12.5; adjusted rate ratio [RR], 0.70 [95% CI, 0.49 to 0.997]; P = .048). This benefit was most evident among individuals age 50 years and older (RR, 0.56 [95% CI, 0.37 to 0.85]; P = .007) compared with those younger than 50 years (RR, 0.96 [95% CI, 0.64 to 1.46]; P = .856). CONCLUSION: In this 12-year trial, EBV antibody testing resulted in a significant reduction in NPC mortality.

Reconstructing nearly isotropic microstructures to construct a one-dimensional framework causing record birefringence in thiophosphates.

Infrared birefringent crystals that hold significant importance for optoelectronic application have been rarely reported. Traditional tetrahedral PS4, ethane-like P2S6, and octahedral InS6 units in thiophosphates typically manifest near isotropy, often resulting in extremely small birefringence. However, this study prepares α-Rb2InP2S7 (1), ß-Rb2InP2S7 (2), and Cs2InP2S7 (3), consisting of the aforementioned microstructures, notably exhibiting the highest refractive index difference or birefringence values (0.247, 0.298, and 0.250 at 546 nm, respectively) among thiophosphates, the middle one being larger than that of commercial birefringent materials. This unusual increase in birefringence can be primarily attributed to two key factors: (1) simultaneous stretching and compressing of the P-S and In-S covalent bond interactions, generating high polarizability anisotropy of InS6, PS4, and P2S6 polyhedral units; (2) the additional incorporation of alkali metals that further reduces the dimensionality of the crystal structure, creating one-dimensional [InP2S7]2- structures with increasing polarizability anisotropy. This study presents an alternative approach to enhance birefringent materials by reconstructing covalent bond interactions and specific spatial arrangements.

Weight loss as a predictor of reduced survival in patients with lung cancer: a systematic review with meta-analysis.

BACKGROUND: The impact of weight loss on survival outcomes remains challenging in patients with lung cancer. The objective of this systematic review with meta-analysis was to assess the association of weight loss with survival outcomes in these patients. METHODS: Two authors conducted a comprehensive literature search of PubMed, Web of Science, and Embase databases up to January 15, 2024. Observational studies that assessed the weight loss as a prognostic factor of overall survival and progression-free survival in patients with lung cancer were included this analysis. Weight loss defined by at least 5% loss of total body weight over 2 months. RESULTS: Fifteen studies involving 14,540 patients with lung cancer were included. Pooled adjusted hazard ratios (HR) indicated that weight loss was associated with reduced overall survival (HR 1.65; 95% confidence intervals [CI] 1.43-1.91) and progression-free survival (HR 1.40; 95% CI 1.15-1.71). Subgroup analysis showed that weight loss significantly predicted overall survival, regardless of study design, lung cancer subtypes, clinical stage of cancer, weight loss definition, or length of follow-up. CONCLUSIONS: Weight loss is a significant predictor of overall survival and progression-free survival in patients with lung cancer. Weight monitoring has potential to improve prognostication of survival outcomes for these patients.

LINC01094: A key long non-coding RNA in the regulation of cancer progression and therapeutic targets.

LINC01094 is a long non-coding RNA that plays a crucial role in cancer progression by modulating key signaling pathways, such as PI3K/AKT, Wnt/ß-catenin and TGF-ß Signaling Pathway Feedback Loop. In this review we summarize the recent research on the functional mechanisms of LINC01094 in various cancers, including its impact on tumor growth, metastasis, and resistance to therapy. We also discuss the therapeutic potential of targeting LINC01094 and highlight the current strategies and challenges in this area. Perspectives on future development of LINC01094-based therapies are also provided.

Synthesis and Anticancer Activity Assessment of Zelkovamycin Analogues.

The zelkovamycin family is a class of cyclic octapeptides with potent antibacterial and antiviral activity. Due to their unique chemical structures and excellent bioactivity, zelkovamycins have consistently attracted the interest of synthetic chemists. However, only the total synthesis of zelkovamycin and zelkovamycin G has been reported until now. The current work presents, for the first time, the synthesis of zelkovamycin analogues, along with their anticancer activity assessment. Firstly, the corresponding chain peptide based on the amino acid sequence of zelkovamycin H was synthesized using the Fmoc solid-phase peptide strategy. This was followed by cyclization under high dilution conditions to obtain compound 21, and its structure was elucidated by NMR analysis. The results confirm that compound 21 is not the natural product of zelkovamycin H. We deduced that during the synthesis of peptide 12, the D-Abu residue epimerized to the L-Abu form, leading to the formation of peptide 20, which blocked our efforts during the synthesis of zelkovamycin H. Two more analogues, 22 and 23, were synthesized by changing the structure of amino acid residues using the same strategy. The anticancer activity of analogues 21-23 against Huh-7 cells was evaluated in vitro; however, their IC50 values were >50 µM.

Design and Synthesis of an Azo Reductase Responsive Flavonol-Indomethacin Hybrid Used for the Diagnosis and Treatment of Colitis.

Human intestinal bacteria are the primary producers of azo reductase, and the content of azo reductase is closely associated with various intestinal diseases, including ulcerative colitis (UC). The rapid detection of changes in azo reductase levels is crucial for diagnosing and promptly intervening in UC. In this study, a therapeutic agent, FAI, specifically targeting UC, was designed and synthesized. This agent was developed by linking the anti-inflammatory drug indomethacin to flavonols with antioxidant activity via an azo bond (off-on). Breakage of the azo bond breaks results in the release of both fluorophores and drugs, achieving targeted tracing and integrated treatment effects. In vivo and in vitro fluorescence imaging experiments were used to demonstrate the potential of FAI in the diagnosis of UC, together with synergistic therapeutic effects through the release of both fluorophores and anti-inflammatory agents. Therefore, this diagnostic agent shows promise as a potential tool for diagnosing and treating UC.

Tet1-mediated activation of the Ampk signaling by Trpv1 DNA hydroxymethylation exerts neuroprotective effects in a rat model of Parkinson's disease.

Epigenetic regulation plays a role in Parkinson's disease (PD), and ten-eleven translocation methylcytosine dioxygenase 1 (TET1) catalyzes the first step in DNA demethylation by converting 5-methylcytosine to 5-hydroxymethylcytosine. We investigated whether TET1 binds to the promoter of the transient receptor potential cation channel subfamily V member 1 (TRPV1) and regulates its expression, thereby controlling oxidative stress in PD. TRPV1 was identified as an oxidative stress-associated gene in the GSE20186 dataset including substantia nigra from 14 patients with PD and 14 healthy controls and the Genecards database. Lentiviral vectors were used to manipulate Trpv1 expression in rats, followed by 6-hydroxydopamine hydrochloride (6-OHDA) injection for modeling. Behavioral tests, immunofluorescence, Nissl staining, western blot assays, DHE fluorescent probe, biochemical analysis, and ELISA were conducted to assess oxidative stress and neurotoxicity. Trpv1 expression was significantly reduced in the brain tissues of 6-OHDA-treated Parkinsonian rats. Trpv1 alleviated behavioral dysfunction, oxidative stress, and dopamine neuron loss in rats. TET1 mediated TRPV1 hydroxymethylation to promote its expression, and Trpv1 inhibition reversed the mitigating effect of Tet1 on oxidative stress and behavioral dysfunction in PD. TRPV1 activated the AMPK signaling by promoting AMPK phosphorylation to alleviate neurotoxicity and oxidative stress in SH-SY5Y cells. Tet1-mediated Trpv1 hydroxymethylation modification promotes the Ampk signaling activation, thereby eliciting neuroprotection in 6-OHDA-treated Parkinsonian rats. These findings provide experimental evidence that targeting the TET1/TRPV1 axis may be neuroprotective for PD by acting on the AMPK signaling.

Optimal liquid-based DNA preservation for DNA barcoding of field-collected fungal specimens.

Preserving fungal tissue DNA in the field is essential for molecular ecological research, enabling the study of fungal biodiversity and community dynamics. This study systematically compares two liquid-based preservation solutions, RNAlater and DESS, for their effectiveness in maintaining macrofungi DNA integrity during field collection and storage. The research encompasses both controlled experiments and real-world field collections. In the controlled experiments, two fungal species were preserved in RNAlater and DESS at different temperatures and durations. DNA extraction success rates were high, but DNA quality and quantity metrics exhibited variations across samples. However, both preservation solutions demonstrated their viability for preserving fungal DNA, with no significant differences between them. In the field-collected macrofungi experiment, 160 paired fungal specimens were preserved in RNAlater and DESS, respectively. Including a drying process to facilitate tissue lysis for DNA extraction significantly impacted the outcomes. RNAlater showed a higher success rate and better DNA quality and quantity compared to DESS. Statistical analysis, including paired and independent t-tests, confirmed significant differences in DNA quality and quantity between the two preservation methods for field-collected samples. This study evaluates RNAlater and DESS for preserving macrofungi DNA in field conditions. Both methods are effective, but RNAlater is superior when a drying step is included in DNA extraction. Researchers can choose based on their specific needs without compromising DNA integrity. These findings advance fungal molecular ecology and DNA preservation strategies in ecological and environmental studies.

Immunomodulatory effects of Huaier granule in cancer therapy: a meta-analysis of randomized controlled trials.

BACKGROUND: This meta-analysis aimed to summarize the immunomodulatory effect of Huaier (Trametes robiniophila Murr) granule as adjuvant therapy in patients with cancer. MATERIALS AND METHODS: Two authors conducted a search for literature indexed on various databases including PubMed, Embase, Cochrane Library, CNKI, Sinomed, VIP, and WanFang. Randomized controlled trials (RCTs) that investigated the immunomodulatory effect of Huaier granule as adjuvant therapy in cancer patients were included. The outcome of interest included T-lymphocyte subsets (CD3+, CD4+, CD8+ and CD4+/CD8+), immunoglobulin (IgA, IgG, IgM), and natural killer (NK) cells. RESULTS: We identified 29 RCTs involving a total of 2206 cancer (including hepatocellular, breast, gastric, colorectal, lung, or nasopharyngeal carcinoma) patients. Compared with conventional treatment alone, Huaier combined conventional treatment significantly improved CD3+ (mean difference [MD] 6.95; 95% confidence intervals [CI] 4.42-9.48), CD4+ (MD 5.53; 95%CI 4.22-6.83), CD4+/CD8+ (MD 0.35; 95%CI 0.25-0.45), IgA (standardized mean difference [SMD] 1.18; 95%CI 0.44-1.93), IgG(SMD 1.71; 95%CI 1.11-2.30), IgM (SMD 0.83; 95%CI 0.59-1.07), and NK cells (MD 5.01; 95%CI 3.61-6.40). However, the effect of Huaier on CD8+ (MD - 1.35; 95%CI - 2.80 to 0.11) was not statistically significant between the groups. CONCLUSIONS: Huaier granule as adjuvant therapy may significantly improve immune function in patients with cancers. However, additional well-designed RCTs are needed to validate the current findings considering the methodological flaws of the analyzed trials.

Textile Bandwidth-Enhanced Half-Mode Substrate-Integrated Cavity Antenna Based on Embroidered Shorting Vias.

A textile bandwidth-enhanced half-mode substrate-integrated cavity (HMSIC) antenna based on embroidered shorting vias is designed. Based on the simulated results of the basic HMSIC antenna, two embroidered hollow posts with square cross-sections are added as shorting vias at the intersections of the zero-E traces of the TM210HM and TM020HM modes to shift the TM010HM-mode band to merge with the bands of the higher-order modes for bandwidth enhancement. A prototype is practically fabricated based on computerized embroidery techniques. Measurement results show that the prototype is of an expanded -10 dB impedance band of 4.87~6.17 GHz (23.5% fractional bandwidth), which fully covers the 5 GHz wireless local area network (WLAN) band. The simulated radiation efficiency and maximum gain of the proposed antenna are above 97% and 7.6 dBi, respectively. Furthermore, simulations and measurements prove its robust frequency response characteristic in the proximity of the human tissues or in bending conditions, and the simulations of the specific absorption rate (SAR) prove its electromagnetic safety on the human body.

Gegen Qinlian decoction alleviates depression-like behavior by modulating the gut microenvironment in CUMS rats.

BACKGROUND: Gegen Qinlian Decoction (GQD) is a classical traditional Chinese medicine (TCM) formula primarily utilized for treating gut disorders. GQD showed therapeutic effects on several diseases in clinical and animal studies by targeting gut microbes. Our recent studies also found that GQD efficiently alleviated anxiety in methamphetamine-withdrawn mice via regulating gut microbiome and metabolism. Given that various studies have indicated the link between the gut microbiome and the development of depression, here we endeavor to explore whether GQD can manage depression disorders by targeting the gut microbiome. METHODS AND MATERIALS: The depression-like model was induced in rats through chronic unpredictable mild stress (CUMS) and the depression levels were determined using the sucrose preference test (SPT). To address the depression-like behavior in rats, oral administration of GQD was employed. The colon microbiome and metabolite patterns were determined by 16s rRNA sequencing and untargeted metabolomics, respectively. RESULTS: We found 6 weeks of CUMS can induce depression-like behavior in rats and 4 weeks of GQD treatment can significantly alleviate the depression-like behavior. GQD treatment can also ameliorate the histological lesions in the colon of CUMS rats. Then, CUMS increased the abundance of gut microbes, while GQD treatment can restore it to a lower level. We further discovered that the abundances of 19 bacteria at the genus level were changed with CUMS treatment, among which the abundances of Ruminococcus, Lachnoclostridium, Pygmaiobacter, Bacteroides, Pseudomonas, and Pseudomonas Family_XIII_AD3011_group were stored by GQD treatment. Besides, we identified the levels of 36 colon metabolites were changed with CUMS treatment, among which the levels of Fasciculic acid B, Spermine, Fludrocortisone acetate, alpha-Ketoglutaric acid, 2-Oxoglutaric acid, N'-(benzoyloxy)-2-(2,2-dichlorocyclopropyl) ethanimidamide, N6-Succinyl Adenosine Oleanolic acid, KQH, Ergosta-5,7,9(11),22-Tetraen-3-beta-Ol, Gentisic acid, 4-Hydroxyretinoic Acid, FAHFA (3:0/16:0), Leucine-enkephalin and N-lactoyl-phenylalanine can be restored by GQD treatment. CONCLUSION: Our findings provide evidence supporting the therapeutic efficacy of GQD in alleviating depression-like behavior in CUMS rats, potentially being targeted on colon bacteria (especially the abundance of Ruminococcus and Bacteroides) and metabolites (especially the level of Oleanolic acid).

Genome-wide analysis of long non-coding RNAs involved in the fruit development process of Cucumis melo Baogua.

Melon (Cucumis melo L.) is a horticultural crop that is planted globally. Cucumis melo L. cv. Baogua is a typical melon that is suitable for studying fruit development because of its ability to adapt to different climatic conditions. Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs longer than 200 nucleotides, which play important roles in a wide range of biological processes by regulating gene expression. In this study, the transcriptome of the Baogua melon was sequenced at three stages of the process of fruit development (14 days, 21 days, and 28 days) to study the role of lncRNAs in fruit development. The cis and trans lncRNAs were subsequently predicted and identified to determine their target genes. Notably, 1716 high-confidence lncRNAs were obtained in the three groups. A subsequent differential expression analysis of the lncRNAs between the three groups revealed 388 differentially expressed lncRNAs. A total of 11 genes were analyzed further to validate the transcriptome sequencing results. Interestingly, the MELO3C001376.2 and MSTRG.571.2 genes were found to be significantly (P < 0.05) downregulated in the fruits. This study provides a basis to better understand the functions and regulatory mechanisms of lncRNAs during the development of melon fruit.

[Enrichment and Nutrition/Health Risks Assessment of Mineral Elements in Apples Growing in Yunnan's High Geological Background Area].

Considering the extremely high content of soil mineral elements in high geological background areas, it is crucial to understand the transportation and health risks of mineral elements in soil-plant systems. In this study, 30 soil and apple-paired samples were collected from the main apple production areas of Yunnan's high geological background region to determine the contents of mineral elements. The aim was to research the enrichment characteristics, nutritional values, and health risks associated with 12 mineral elements in apples. The results revealed that Cd, As, Pb and Cr contents in soil samples exceeded their corresponding risk screening values with percentages of 50%, 17%, 48%, and 30%, respectively. However, only 13.3% of Pb content in apple samples exceeded the safety limit （0.1 mg·kg-1, fresh fruit）. In addition to the toxic elements, apples had higher contents of K, Ca, Mg, Mn, and Zn, with average contents of 1.241 g·kg-1, 0.045 g·kg-1, 0.061 g·kg-1, 0.648 mg·kg-1, and 0.944 mg·kg-1, respectively. The nutritional evaluation results showed that the index （INQ） of K and Cu were higher than 2 through the consumption of apples, suggesting that apple consumption was one of the primary sources of K and Cu intake. The health risk assessment revealed that the target hazard quotient （THQ） of a single heavy metal was： Cu > As > Cr > Pb > Zn > Cd； the hazard index （HI） of all heavy metals was far lower than 1, indicating that apple consumption did not pose significant heavy metal exposure risks. The results of this study will provide a scientific insight into the nutritional aspects and health risks associated with mineral elements in soil-plant systems within high geological background areas.

Synergies quantification and evolution on air pollutant and CO2 emissions driven by different socio-economic effects.

Realizing a synergistic reduction of air pollutant and CO2 emissions (APCE) is an important approach to promote a green socio-economic transformation in China, and it can provide a solid foundation for the achievement of clean energy production and climate action under a sustainable development goal framework. The objective of this study is to explore the quantitative relationship and evolution of synergies between APCE in industrial sectors driven by different socio-economic effects from 2007 to 2020 in China. The results indicated that the main sectors of pollutant emissions had consistency, however, large differences in the reduction efficiency of emissions exist among pollutants. The efficiency in reducing CO2 emissions was about 48% lower when compared with reductions of SO2 (95%), NOx (86%), and smoke and dust (83%) emissions from 2007 to 2020. The effects of improved technology were the main contributor to a reduction in pollutant emissions, but the synergies between APCE driving by it were not achieved. While the synergies between APCE driven by structure and final demand effects were significant. The synergies between NOx and CO2 emissions were stronger driven by final demand structure and type effects, with correlation coefficients of 1.06 and 1.13, respectively. Besides, the degree of synergistic reduction between APCE in most industrial sectors was around zero. Therefore, the efficiency of synergistic pollution reduction should be improved with the development of a synergistic governance system for industrial sectors. The structural decomposition analysis based on input-output model combined with the cross-elasticity analysis method to quantitively synergies between APCE from the consumption (demand) perspective, considering the connections between industrial sectors with socio-economic developing, which would contribute to the industrial synergistic reduction and green transformation as the consumption driven gradually increasing.

Early tocilizumab treatment was associated with survival benefits in hospitalized kidney transplants with severe COVID-19 infection: A prospective cohort study.

BACKGROUND: The potential of Tocilizumab (TCZ) in preventing the cytokine storm caused by COVID-19 infection has been observed, while the survival benefits were inconclusive in solid-organ transplant recipients. We aimed to explore whether the timing of TCZ administration holds significance in the clinical course of COVID-19 infection and identify predicative factors of TCZ efficacy. METHODS: We conducted a prospective cohort study between December 2022, and January 2023. Early TCZ use referred to administration within 6 days after symptoms onset, while late TCZ use indicated administration after 6 days. The primary endpoint was 30-day mortality. RESULTS: Twenty-seven kidney transplant recipients with severe COVID-19 infection were enrolled, with 10 in the early use group and 17 in the late use group. In the early use group, ferritin, lactate dehydrogenase (LDH), C-reactive protein (CRP) and brain natriuretic peptide(BNP) levels had shown significant inhibitions comparing to the late use group, and those inflammatory cytokines demonstrated a noticeable decreasing trend after TCZ administration, whereas only CRP levels decreased in the late use group. The Kaplan-Meier survival curve demonstrated that the early use group had a higher likelihood of survival (P = 0.0078). Receiver Operating Characteristic (ROC) analyses revealed that the time from symptoms to TCZ use (AUC: 0.645), LDH (AUC: 0.803), CRP (AUC: 0.787), and IL-6 (AUC: 0.725) were potential predictive factors of TCZ efficacy. TCZ use within 6 days from symptoms onset, with CRP < 73.5 mg/L, LDH < 435.5 IU/L, and IL-6 < 103.5 pg/mL, had higher survival rates (P = 0.008, P = 0.009, P < 0.001, P < 0.001). CONCLUSION: This study highlights the survival benefits of early TCZ use and the predicative role of cytokines levels in predicting TCZ efficacy in kidney transplant recipients with severe COVID-19 infection.

Encoding and display technologies for combinatorial libraries in drug discovery: The coming of age from biology to therapy.

Drug discovery is a sophisticated process that incorporates scientific innovations and cutting-edge technologies. Compared to traditional bioactivity-based screening methods, encoding and display technologies for combinatorial libraries have recently advanced from proof-of-principle experiments to promising tools for pharmaceutical hit discovery due to their high screening efficiency, throughput, and resource minimization. This review systematically summarizes the development history, typology, and prospective applications of encoding and displayed technologies, including phage display, ribosomal display, mRNA display, yeast cell display, one-bead one-compound, DNA-encoded, peptide nucleic acid-encoded, and new peptide-encoded technologies, and examples of preclinical and clinical translation. We discuss the progress of novel targeted therapeutic agents, covering a spectrum from small-molecule inhibitors and nonpeptidic macrocycles to linear, monocyclic, and bicyclic peptides, in addition to antibodies. We also address the pending challenges and future prospects of drug discovery, including the size of screening libraries, advantages and disadvantages of the technology, clinical translational potential, and market space. This review is intended to establish a comprehensive high-throughput drug discovery strategy for scientific researchers and clinical drug developers.