Research progress on the application of single-cell sequencing in autoimmune diseases.

Autoimmune diseases (AIDs) are caused by immune tolerance deficiency or abnormal immune regulation, leading to damage to host organs. The complicated pathogenesis and varied clinical symptoms of AIDs pose great challenges in diagnosing and monitoring this disease. Regrettably, the etiological factors and pathogenesis of AIDs are still not completely understood. It is noteworthy that the development of single-cell RNA sequencing (scRNA-seq) technology provides a new tool for analyzing the transcriptome of AIDs. In this essay, we have summarized the development of scRNA-seq technology, and made a relatively systematic review of the current research progress of scRNA-seq technology in the field of AIDs, providing a reference to preferably understand the pathogenesis, diagnosis, and treatment of AIDs.

Single optical fiber based forward-viewing all-optical ultrasound self-transceiving probe.

All-optical ultrasound probes with fully integrated ultrasound generation and detection functions demonstrate some unique advantages over traditional electroacoustic counterparts. However, due to the lack of an effective solution, the most commonly used method is to assemble two separate functional optical fibers together for ultrasound generation and detection, respectively. In this Letter, an innovative strategy, to the best of our knowledge, is developed to integrate the photoacoustic effect based ultrasound generation and the Fabry-Pérot (FP) interference based ultrasound detection structures together at the end of a single double clad optical fiber (DCF), so as to make a compact forward-viewing ultrasound self-transceiving probe (1-mm diameter). From the experiment results, the as-fabricated probe can generate an ultrasound signal with an amplitude of 2.36 MPa at 2.25 mm in the transmitting mode, and its peak frequency and -6-dB bandwidth are measured to be 10.64 MHz and 22.93 MHz, respectively. When being operated under the receiving mode, the probe has a detection sensitivity of 208.4 mV/MPa for ultrasound signals with the peak frequency of 8.24 MHz, and the noise equivalent pressure (NEP) is 76.8 kPa. In addition, the forward-viewing format ultrasound self-transceiving experiment is also performed and the pulse-echo signal varying with the transmission distance is successfully captured for the first time.

AlN-based piezoelectric MEMS deformable mirror.

An AlN-based piezoelectric micro-electromechanical system (MEMS) continuous membrane deformable mirror (DM) prototype is presented for the first time. Its effective aperture diameter is 5 mm and it is equipped with 25 independently controlled actuators. Owing to the advantages associated with the AlN piezoelectric thin-film technology, attractive characteristics including CMOS compatible fabrication, bidirectional linear and negligible hysteresis actuation, and excellent linear superposition control capability have been successfully demonstrated. Moreover, good optical aberration correction performance is also validated via the surface contour fitting experiment to the Zernike polynomials up to the first 14 orders despite the non-optimized device structure design, representing great application perspective.

Characterisation of T and B cell receptor repertoire in patients with systemic lupus erythematosus.

OBJECTIVES: Systemic lupus erythematosus (SLE) is an autoimmune disease with extreme heterogeneity, marked clinically by multi-systemic inflammatory involvement. However, the molecular mechanism of breakdown of self-tolerance is still unclear. T cell/B cell-mediated immune disorders may play a vital role in the pathogenesis of SLE. METHODS: In this context, we used a combination of multiplex-PCR, Illumina sequencing and IMGT/HighV-QUEST for a standardised analysis of the T cell receptor ß-chain (TCRß) and B cell receptor H-chain (BCR-H) repertoire of peripheral blood mononuclear cells in SLE patients compared with healthy volunteers. RESULTS: The results showed that there was an obvious reduction in BCR-H repertoire diversity and BCR-H CDR3 length in SLE patients. Notably, the pre-selection BCR-H CDR3s in SLE patients also displayed abnormal shortening, which suggests that early events in bone marrow B cell development and repertoire generation were abnormal in SLE patients. However, there was no obvious change of T cell repertoire in SLE patients, including repertoire diversity and CDR3 length. In addition, there was skewed usage of V genes and CDR3 sequences in SLE patients, which might be the result of physiological responses to environmental antigens or pathogens. CONCLUSIONS: In conclusion, our data revealed the specific changes of the TCR and BCR repertoires in SLE patients, which may provide new ideas for its prevention and treatment.

Association Between Dysmenorrhea and Risk of Epilepsy in East Asian Populations: A Bidirectional Two-Sample Mendelian Randomization Study.

Dysmenorrhea is associated with epilepsy. Existing evidence is mostly limited to observational studies, which are liable to confounding and bias. This study investigated the causal relevance of dysmenorrhea on epilepsy using Mendelian randomization (MR). We extracted instrumental variants for dysmenorrhea and epilepsy from published genomewide association study data, focusing on individuals of East Asian descent. A comprehensive suite of MR estimations and sensitivity analyses was performed to ensure the robustness of the findings. Each outcome database was analyzed separately in both directions. For dysmenorrhea and epilepsy, 7 and 3 genetic variants respectively were selectively extracted as instrumental variants. The results suggest that dysmenorrhea is causally associated with an elevated risk of epilepsy (inverse variance weighted [IVW]: OR = 1.26; 95% CI [1.07, 1.47]; p = 4.42 × 10-3); conversely, no strong evidence was found to corroborate that epilepsy exerts a causal effect on the incidence of dysmenorrhea (IVW: OR = 1.04; 95% CI [0.82, 1.33]; p = .72). These findings provide novel insights into the causal relationship between dysmenorrhea and epilepsy, which may have implications for clinical decision-making in patients with epilepsy and dysmenorrhea.

Comprehensive analysis of B and T cell receptor repertoire in patients after kidney transplantation by high-throughput sequencing.

PURPOSE: The dynamic immunity of kidney transplant patients has not been fully elucidated. In this study, we explored the repertoire features of B/T cell receptor (BCR/TCR) of kidney transplant patients. METHODS: Using combined multiplex PCR amplification and high-throughput sequencing technique, we analyzed the uremic patients' BCR H chain and TCR beta chain repertoire which obtained 1 day before kidney transplantation (PRE-1), 1 day and 7 day after kidney transplantation (POST-1 and POST-7). RESULTS: Our analysis results showed the diversity of TCRß CDR3 in POST-7 group was highest. In addition, there were specific skewed usage of TRBV gene subfamilies, and V-J combinations in different time points during kidney transplantation. Moreover, the overlap degrees of BCR-H (TCR-ß) CDR3 repertoire among each group were identified. Notably, the abundance of some TCR-ß CDR3 sequences changed regularly in the time point of kidney transplantation. CONCLUSIONS: The BCR-H (TCR-ß) CDR3 repertoire of kidney transplant patients changed dynamically.

Kinetically Controlled Synthesis of Nonspherical Polystyrene Nanoparticles with Manipulatable Morphologies.

The morphology of nanoparticles plays a critical role in determining their properties and applications. Herein, we report a versatile approach to the fabrication of nonspherical polystyrene (PS) nanoparticles with controlled morphologies on the basis of kinetically controlled seed-mediated polymerization. By manipulating parameters related to the reaction kinetics including the concentration of monomers, injection rate of reactants, and reaction temperature, the monomers could be directed to polymerize on the selective sites of PS seeds, and after the removal of the second polymer, nonspherical nanoparticles with a variety of thermodynamically unfavored morphologies could be synthesized. We systematically investigated the formation mechanism of these nonspherical nanoparticles by monitoring the evolution of seeds during the reaction. Moreover, we have also successfully extended this strategy to reaction systems containing monomers with different combinations and seeds with different sizes. We believe this work will provide a promising route to the fabrication of nonspherical polymer nanoparticles with controlled morphologies for various applications.

Facile Surface Functionalization Strategy for Two-Photon Lithography Microstructures.

Two-photon lithography (TPL) is a powerful tool to construct small-scale objects with complex and precise 3D architectures. While the limited selection of chemical functionalities on the printed structures has restricted the application of this method in fabricating functional objects and devices, this study presents a facile, efficient, and extensively applicable method to functionalize the surfaces of the objects printed by TPL. TPL-printed objects, regardless of their compositions, can be efficiently functionalized by combining trichlorovinylsilane treatment and thiol-ene chemistry. Various functionalities can be introduced on the printed objects, without affecting their micro-nano topographies. Hence, microstructures with diverse functions can be generated using non-functional photoresists. Compared to existed strategies, this method is fast, highly efficient, and non photoresist-dependent. In addition, this method can be applied to various materials, such as metals, metal oxides, and plastics that can be potentially utilized in TPL or other 3D printing technologies. The applications of this method on the biofunctionalization of microrobots and cell scaffolds are also demonstrated.

Static-Dynamic Fluorescence Patterns Based on Photodynamic Disulfide Reactions for Versatile Information Storage.

Dynamic fluorescence patterns with variable output in response to external stimulus can make the current information storage technologies more flexible and intelligent. Yet it remains a great challenge to create such dynamic patterns because of the complicated synthesis process, high cost, limited stability, and biocompatibility of the functional fluorophores. Herein, a facile approach is presented for creating dynamic fluorescence patterns using the photodynamic surface chemistry based on disulfide bonds. By this method, high-resolution (≈20 µm) multicolor dynamic fluorescence patterns that are low-cost and dynamically rewritable can be easily fabricated using classical fluorophores such as fluorescein, rhodamine, and dansyl acid. Owing to the spatio-temporal controllability of light, the fluorescence patterns can be partly or entirely erased/rewritten on demand, and complex gray-level fluorescence images with increased information capacity can be easily generated. The obtained fluorescence patterns exhibit little changes after storing in air and solvent environments for 100 days, demonstrating their high stability. In addition, static patterns can also be created on the same disulfide surface using irreversible disulfide-ene chemistry, to selectively control the dynamicity of the generated fluorescence patterns. The authors show the successful application of this strategy on information protection and transformation.

The radiotherapy-sensitization effect of cantharidin: Mechanisms involving cell cycle regulation, enhanced DNA damage, and inhibited DNA damage repair.

BACKGROUND: Cantharidin is an inhibitor of protein phosphatase 2 A (PP2A), and has been frequently used in clinical practice. In our previous study, we proved that cantharidin could arrest cell cycle in G2/M phase. Since cells at G2/M phase are sensitive to radiotherapy, in the present study, we investigated the radiotherapy-sesitization effect of cantharidin and the potential mechanisms involved. METHODS: Cell growth was determined by MTT assay. Cell cycle was evaluated by flow cytometry. DNA damage was visualized by phospho-Histone H2A.X staining. Expression of mRNA was tested by microarray assay and real-time PCR. Clinical information and RNA-Seq expression data were derived from The Cancer Genome Atlas (TCGA) pancreatic cancer cohort. Survival analysis was obtained by Kaplan-Meier estimates. RESULTS: Cantharidin strengthened the growth inhibition effect of irradiation. Cantharidin drove pancreatic cancer cells out of quiescent G0/G1 phase and arrested cell cycle in G2/M phase. As a result, cantharidin strengthened DNA damage which was induced by irradiation. Moreover, cantharidin repressed expressions of several genes participating in DNA damage repair, including UBE2T, RPA1, GTF2HH5, LIG1, POLD3, RMI2, XRCC1, PRKDC, FANC1, FAAP100, RAD50, RAD51D, RAD51B and DMC1, through JNK, ERK, PKC, p38 and/or NF-κB pathway dependent manners. Among these genes, worse overall survival for pancreatic cancer patients were associated with high mRNA expressions of POLD3, RMI2, PRKDC, FANC1, RAD50 and RAD51B, all of which could be down-regulated by cantharidin. CONCLUSION: Cantharidin can sensitize pancreatic cancer cells to radiotherapy. Multiple mechanisms, including cell cycle regulation, enhanced DNA damage, and inhibited DNA damage repair, may be involved.

Prognostic Value of Serum Lactate Dehydrogenase in Patients with Nasopharyngeal Carcinoma: a Meta-Analysis.

BACKGROUND: Serum-lactate dehydrogenase (S-LDH) is reported to be associated with poor survival in patients with nasopharyngeal carcinoma (NPC); however, the results are inconsistent. The aim of the study was to perform a meta-analysis to evaluate the prognostic value of S-LDH in patients with NPC. METHODS: PubMed and Web of Science were searched for relevant studies, and the fixed-effects model was employed to pool the hazard risks (HRs) from individual studies when no substantial heterogeneity was detected; otherwise, the random-effects model was used. Heterogeneity and publication bias were also analyzed. RESULTS: A total of 18 studies involving 13,789 patients were included in the meta-analysis, serum LDH level was associated with worse outcome in NPC patients. The combined HR for overall survival (OS) was 1.86 (95% confidence interval [CI]: 1.66 - 2.08; p < 0.01), and the pooled HRs for disease-free survival (DFS), distant metastasisfree survival (DMFS), and distant local relapse-free survival (LRFS) were 1.64 (95% CI: 1.45 - 1.86), 2.64 (95% CI: 2.15 - 3.25), and 2.59 (95% CI: 1.74 - 3.87), respectively. CONCLUSIONS: Our results suggest that higher serum LDH level is associated with worse survival in patients with NPC, which is helpful for a personalized treatment strategy for NPC patients.

A start-stop points CenterNet for wideband signals detection and time-frequency localization in spectrum sensing.

Recently, deep learning (DL) based object detection methods have attracted significant attention for wideband multisignal detection, which has been viewed as an essential part in the field of cognitive radio spectrum sensing. However, the existing DL methods are difficult or very likely fail to detect discontinuous burst signals, not to mention the signals with wide, instantaneous, dynamic bandwidth, and multiple channels. To solve this problem, the present study proposes a scheme that combines the start-stop point signal features for wideband multi-signal detection, namely the Fast Spectrum-Size Self-Training network (FSSNet). Considering the horizontal rectangle form of a wideband signal in the time-frequency domain, we innovatively utilize the start-stop points of the two-dimensional (2D) Box to build the signal model. Specifically, We propose a fast Start-stop HeatMap where the proposed LPS-YXE simultaneously labels and divides the start-stop points positions in the X-Y axis of a single HeatMap. We attribute the method's success in discontinuous signal detection to the multidimensional space transformation of HeatMap, which is used to locate the start-stop points and extract features separated from the signal regions of start-stop points. Furthermore, FSSNet can realize the 2D Box estimation of the wideband signal by regressing only a single variable, and thus with satisfactory detection speed. Simulation results verify the effectiveness and superiority of the proposed start-stop based wideband signal detection scheme with practical received signals. All our models and code are available athttps://github.com/jn-z/SSNet2.

Single-cell transcriptional profiling reveals aberrant gene expression patterns and cell states in autoimmune diseases.

Multiple sclerosis(MS), primary Sjögren syndrome (pSS), and systemic lupus erythematosus (SLE) share numerous clinical symptoms and serological characteristics. We analyzed 153550 cells of scRNA-seq data of 17 treatment-naive patients (5 MS, 5 pSS, and 7 SLE) and 10 healthy controls, and we examined the enrichment of biological processes, differentially expressed genes (DEGs), immune cell types, and their subpopulations, and cell-cell communication in peripheral blood mononuclear cells (PBMCs). The percentage of B cells, megakaryocytes, monocytes, and proliferating T cells presented significant changes in autoimmune diseases. The enrichment of cell types based on gene expression revealed an elevated monocyte. MIF, MK, and GALECTIN signaling networks were obvious differences in autoimmune diseases. Taken together, our analysis provides a comprehensive map of the cell types and states of ADs patients at the single-cell level to understand better the pathogenesis and treatment of these ADs.

Mendelian randomization supports genetic liability to hospitalization for COVID-19 as a risk factor of pre-eclampsia.

Background: Pre-eclampsia and eclampsia are among the major threats to pregnant women and fetuses, but they can be mitigated by prevention and early screening. Existing observational research presents conflicting evidence regarding the causal effects of coronavirus disease 2019 (COVID-19) on pre-eclampsia risk. Through Mendelian randomization (MR), this study aims to investigate the causal effect of three COVID-19 severity phenotypes on the risk of pre-eclampsia and eclampsia to provide more rigorous evidence. Methods: Two-sample MR was utilized to examine causal effects. Summary-level data from genome-wide association studies (GWAS) of individuals of European ancestry were acquired from the GWAS catalog and FinnGen databases. Single-nucleotide polymorphisms associated with COVID-19 traits at p < 5 × -8 were obtained and pruned for linkage disequilibrium to generate instrumental variables for COVID-19. Inverse variance weighted estimates were used as the primary MR results, with weighted median and MR-Egger as auxiliary analyses. The robustness of the MR findings was also evaluated through sensitivity analyses. Bonferroni correction was applied to primary results, with a p < 0.0083 considered significant evidence and a p within 0.083-0.05 considered suggestive evidence. Results: Critical ill COVID-19 [defined as hospitalization for COVID-19 with either a death outcome or respiratory support, OR (95% CI): 1.17 (1.03-1.33), p = 0.020] and hospitalized COVID-19 [defined as hospitalization for COVID-19, OR (95% CI): 1.10 (1.01-1.19), p = 0.026] demonstrated suggestive causal effects on pre-eclampsia, while general severe acute respiratory syndrome coronavirus 2 infection did not exhibit a significant causal effect on pre-eclampsia. None of the three COVID-19 severity phenotypes exhibited a significant causal effect on eclampsia. Conclusions: Our investigation demonstrates a suggestive causal effect of genetic susceptibility to critical ill COVID-19 and hospitalized COVID-19 on pre-eclampsia. The COVID-19 severity exhibited a suggestive positive dose-response relationship with the risk of pre-eclampsia. Augmented attention should be paid to pregnant women hospitalized for COVID-19, especially those needing respiratory support.

Enhanced Energy Storage Performance through Controlled Composition and Synthesis of 3D Mixed Metal-Oxide Microspheres.

Binary transition metal oxide complexes (BTMOCs) in three-dimensional (3D) layered structures show great promise as electrodes for supercapacitors (SCs) due to their diverse oxidation states, which contribute to high specific capacitance. However, the synthesis of BTMOCs with 3D structures remains challenging yet crucial for their application. In this study, we present a novel approach utilizing a single-step hydrothermal technique to fabricate flower-shaped microspheres composed of a NiCo-based complex. Each microsphere consists of nanosheets with a mesoporous structure, enhancing the specific surface area to 23.66 m2 g-1 and facilitating efficient redox reactions. When employed as the working electrode for supercapacitors, the composite exhibits remarkable specific capacitance, achieving 888.8 F g-1 at 1 A g-1. Furthermore, it demonstrates notable electrochemical stability, retaining 52.08% capacitance after 10,000 cycles, and offers a high-power density of 225 W·kg-1, along with an energy density of 25 Wh·kg-1, showcasing its potential for energy storage applications. Additionally, an aqueous asymmetric supercapacitor (ASC) was assembled using NiCo microspheres-based complex and activated carbon (AC). Remarkably, the NiCo microspheres complex/AC configuration delivers a high specific capacitance of 250 F g-1 at 1 A g-1, with a high energy density of 88 Wh kg-1, for a power density of 800 W kg-1. The ASC also exhibits excellent long-term cyclability with 69% retention over 10,000 charge-discharge cycles. Furthermore, a series of two ASC devices demonstrated the capability to power commercial blue LEDs for a duration of at least 40 s. The simplicity of the synthesis process and the exceptional performance exhibited by the developed electrode materials hold considerable promise for applications in energy storage.

DPSNet: Multitask Learning Using Geometry Reasoning for Scene Depth and Semantics.

Multitask joint learning technology continues gaining more attention as a paradigm shift and has shown promising performance in many applications. Depth estimation and semantic understanding from monocular images emerge as a challenging problem in computer vision. While the other joint learning frameworks establish the relationship between the semantics and depth from stereo pairs, the lack of learning camera motion renders the frameworks that fail to model the geometric structure of the image scene. We make a further step in this article by proposing a multitask learning method, namely DPSNet, which can jointly perform depth and camera pose estimation and semantic scene segmentation. Our core idea for depth and camera pose prediction is that we present the rigid semantic consistency loss to overcome the limitation of moving pixels from image reconstruction technology and further infer the segmentation of moving instances based on them. In addition, our proposed model performs semantic segmentation by reasoning the geometric correspondences between the pixel semantic outputs and the semantic labels at multiscale resolutions. Experiments on open-source datasets and a video dataset captured on a micro-smart car show the effectiveness of each component of DPSNet, and DPSNet achieves state-of-the-art results in all three tasks compared with the best popular methods. All our models and code are available at https://github.com/jn-z/DPSNet: Multitask Learning Using Geometry Reasoning for Scene Depth and semantics.

Metabolomic and proteomic analyses of primary Sjogren's syndrome.

The pathogenesis of primary Sjogren's syndrome (pSS) has not been fully elucidated. We explored differentially expressed proteins and metabolic pathways in pSS using proteomics and metabolomics. 456 named proteins in total were identified, among which 50 were significantly changed in the pSS. Altered proteins were significantly associated with signaling pathways such as antigen processing and presentation, human immunodeficiency virus 1 infection, and FC gamma R-mediated phagocytosis. Meanwhile, 12 proteins, such as SH3BGRL3, TPM4, and CA1, can be used as potential clinical molecular markers. Moreover, 128 metabolites were significantly expressed in the pSS group. A total of 96 pathways were significantly enriched including central carbon metabolism in cancer, taurine and hypotaurine metabolism, and ABC transporters. Notably, both proteomics and metabolomics enriched glycolysis/gluconeogenesis metabolism, pentose phosphate pathway, and glutathione metabolism pathways. In this study, the progression mechanism of pSS was analyzed and novel biomarkers were identified by proteomics and metabolomics.

Electroacupuncture for the treatment of cancer pain: a systematic review and meta-analysis of randomized clinical trials.

Objective: This paper aims to review the current evidence on electroacupuncture as an effective and safe therapy for cancer pain management. Methods: Five databases were searched from their inception through November 11, 2022. Only the randomized controlled trials that meet the eligibility criteria were finally included in the study. Literature screening and data extraction were performed independently by two reviewers, and RevMan 5.3 used for meta-analysis. Results: A total of 17 RCTs met our inclusion criteria. We used 8 indicators to estimate the meta-analysis results, most of which proved statistically significant, including VAS scores, NRS scores, and KPS scores. To be specific, VAS scores (MD = -1.41, 95% CI: -2.42 to -0.41, P = 0.006) and NRS scores (MD = -1.19, 95% CI: -1.72 to -0.66, P < 0.0001) were significantly lower in the treatment group compared to the control group. The treatment group's KPS scores (MD = 5.48, 95% CI: 3.27 to 7.69, P < 0.00001) were higher than those of the control group. Also, in the treatment group, the number of burst pain (MD = -2.66, 95% CI: -3.32 to -1.99, P < 0.00001) and side effect rates (RR = 0.51, 95% CI: 0.39 to 0.67, P < 0.00001) greatly reduced, while the response rate (RR = 1.17, 95% CI: 1.09 to 1.26, P < 0.0001) significantly increased compared to the control group. Conclusion: This study demonstrates the advantages of electroacupuncture in the treatment of cancer pain. Meanwhile, rigorous RCTs should be designed and conducted in the future to further demonstrate the exact efficacy of electroacupuncture. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022376148.

The dynamic TRß/IGH CDR3 repertoire features in patients with liver transplantation.

OBJECTIVE: At present, little is known about the immune mechanism of liver transplantation caused by decompensated cirrhosis. Lymphocytes play an essential important role in the immune rejection of liver transplantation. In this study, we aimed to comprehensively analyze changes in complementary determinant 3 (CDR3) repertoire of T cell receptor ß chain (TRß) and immunoglobulin heavy chain (IGH) in liver transplantation patients and healthy controls (HC). METHODS: High-throughput sequencing technology was used to study the characteristics of TRß/IGH CDR3 repertoire, and identify the amino acid sequences of TRß and IGH associated with liver transplantation patients and HC. RESULTS: We found that some TRß and IGH CDR3 repertoire characteristics differed between liver transplant patients and HC. The diversity of TRß CDR3 increased in the liver transplantation group. First and seven days after live transplantation patients showed a lower degree of T cell clone amplification compared to the HC group. The CDR3 repertoire of the TRß/IGH chain was certainly biased in the use of some V, D, and J gene segments, TRß/IGH V-J combined frequency was also skewed and TRß CDR3 clonotypes were shared at a higher degree in the liver transplantation patients. Importantly, one amino acid sequence in the decompensated cirrhosis group was significantly higher than that in the healthy group. It should be noted that the frequency of some CDR3 sequences is closely correlated with the different stages of liver transplantation, and these sequences may play a key role in liver transplantation. CONCLUSION: Based on the above results, we can better understand the dynamic changes of TCß/IGH CDR3 repertoire in patients during liver transplantation.

Association of long-term benzodiazepine hypnotic use and prediabetes in US population: A cross-sectional analysis of national health and nutrition examination survey data.

Benzodiazepine hypnotics' effects on glucose metabolism are seldom reported, and the association between long-term (≥4 weeks) benzodiazepine usage and prediabetes has not been studied. This study was aimed to investigate the association between benzodiazepine hypnotic usage for ≥ 3 months and the prevalence of prediabetes. We analyzed cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) during 2005 to 2008, selecting adult participants without diabetes who used benzodiazepine hypnotics for at least 3 months or did not take any hypnotics. Individuals taking other hypnotics, antipsychotics, glucocorticoids, or hypoglycemic drugs were excluded. We defined prediabetes as an hemoglobin A1C (HbA1C) 5.7-6.4%, as suggested by the American Diabetes Association. Prescribed drug information was self-reported and checked by official interviewers, and HbA1C data in NHANES was recognized by the National Glycohemoglobin Standardization Program. We calculated the propensity score according to the covariates and adjusted it using multivariate logistic regression. Lower thresholds of HbA1C ≥ 5.5% or ≥ 5.3% were also analyzed. Among 4694 eligible participants, 38 received benzodiazepine hypnotics; using these hypnotics for ≥ 3 months was not significantly associated with the prevalence of prediabetes, as well as HbA1C ≥ 5.5% or ≥ 5.3%. Adjusted for propensity score, the respective odds ratios for prediabetes, HbA1C ≥ 5.5%, and HbA1C ≥ 5.3% were 1.09 (95% confidence interval [CI] 0.19-6.32), 0.83 (95% CI 0.22-3.13), and 1.22 (95% CI 0.3-4.93). No significant association was found between benzodiazepine hypnotic usage ≥ 3 months and the prevalence of prediabetes.