scPlantDB: a comprehensive database for exploring cell types and markers of plant cell atlases.

Recent advancements in single-cell RNA sequencing (scRNA-seq) technology have enabled the comprehensive profiling of gene expression patterns at the single-cell level, offering unprecedented insights into cellular diversity and heterogeneity within plant tissues. In this study, we present a systematic approach to construct a plant single-cell database, scPlantDB, which is publicly available at https://biobigdata.nju.edu.cn/scplantdb. We integrated single-cell transcriptomic profiles from 67 high-quality datasets across 17 plant species, comprising approximately 2.5 million cells. The data underwent rigorous collection, manual curation, strict quality control and standardized processing from public databases. scPlantDB offers interactive visualization of gene expression at the single-cell level, facilitating the exploration of both single-dataset and multiple-dataset analyses. It enables systematic comparison and functional annotation of markers across diverse cell types and species while providing tools to identify and compare cell types based on these markers. In summary, scPlantDB serves as a comprehensive database for investigating cell types and markers within plant cell atlases. It is a valuable resource for the plant research community.

Occurrence of Low Cardiac Index During Normotensive Periods in Cardiac Surgery: A Prospective Cohort Study Using Continuous Noninvasive Cardiac Output Monitoring.

BACKGROUND: Continuous cardiac output monitoring is not standard practice during cardiac surgery, even though patients are at substantial risk for systemic hypoperfusion. Thus, the frequency of low cardiac output during cardiac surgery is unknown. METHODS: We conducted a prospective cohort study at a tertiary medical center from July 2021 to November 2023. Eligible patients were ≥18 undergoing isolated coronary bypass (CAB) surgery with the use of cardiopulmonary bypass (CPB). Cardiac output indexed to body surface area (CI) was continuously recorded at 5-second intervals throughout surgery using a US Food and Drug Administration (FDA)-approved noninvasive monitor from the arterial blood pressure waveform. Mean arterial blood pressure (MAP) and central venous pressure (CVP) were also analyzed. Low CI was defined as <2 L/min/m2 and low MAP as <65 mm Hg. We calculated time with low CI for each patient for the entire surgery, pre-CPB and post-CPB periods, and the proportion of time with low CI and normal MAP. We used Pearson correlation to evaluate the relationship between CI and MAP and paired Wilcoxon rank sum tests to assess the difference in correlations of CI with MAP before and after CPB. RESULTS: In total, 101 patients were analyzed (age [standard deviation, SD] 64.8 [9.8] years, 25% female). Total intraoperative time (mean [SD]) with low CI was 86.4 (62) minutes, with 61.2 (42) minutes of low CI pre-CPB and 25.2 (31) minutes post-CPB. Total intraoperative time with low CI and normal MAP was 66.5 (56) minutes, representing mean (SD) 69% (23%) of the total time with low CI; 45.8 (38) minutes occurred pre-CPB and 20.6 (27) minutes occurred post-CPB. Overall, the correlation (mean [SD]) between CI and MAP was 0.33 (0.31), and the correlation was significantly higher pre-CPB (0.53 [0.32]) than post-CPB (0.29 [0.28], 95% confidence interval [CI] for difference [0.18-0.34], P < .001); however, there was substantial heterogeneity among participants in correlations of CI with MAP before and after CPB. Secondary analyses that accounted for CVP did not alter the correlation between CI and MAP. Exploratory analyses suggested duration of low CI (C <2 L/min/m2) was associated with increased risk of postoperative acute kidney injury (odds ratios [ORs] = 1.09; 95% CI; 1.01-1.13; P = .018). CONCLUSIONS: In a prospective cohort of patients undergoing CAB surgery, low CI was common even when blood pressure was normal. CI and MAP were correlated modestly. Correlation was higher before than after CPB with substantial heterogeneity among individuals. Future studies are needed to examine the independent relation of low CI to postoperative kidney injury and other adverse outcomes related to hypoperfusion.

Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool.

OBJECTIVE: To develop and validate a model to predict seizure freedom in children undergoing cerebral hemispheric surgery for the treatment of drug-resistant epilepsy. METHODS: We analyzed 1267 hemispheric surgeries performed in pediatric participants across 32 centers and 12 countries to identify predictors of seizure freedom at 3 months after surgery. A multivariate logistic regression model was developed based on 70% of the dataset (training set) and validated on 30% of the dataset (validation set). Missing data were handled using multiple imputation techniques. RESULTS: Overall, 817 of 1237 (66%) hemispheric surgeries led to seizure freedom (median follow-up = 24 months), and 1050 of 1237 (85%) were seizure-free at 12 months after surgery. A simple regression model containing age at seizure onset, presence of generalized seizure semiology, presence of contralateral 18-fluoro-2-deoxyglucose-positron emission tomography hypometabolism, etiologic substrate, and previous nonhemispheric resective surgery is predictive of seizure freedom (area under the curve = .72). A Hemispheric Surgery Outcome Prediction Scale (HOPS) score was devised that can be used to predict seizure freedom. SIGNIFICANCE: Children most likely to benefit from hemispheric surgery can be selected and counseled through the implementation of a scale derived from a multiple regression model. Importantly, children who are unlikely to experience seizure control can be spared from the complications and deficits associated with this surgery. The HOPS score is likely to help physicians in clinical decision-making.

Effect of Dexmedetomidine on Delirium in Elderly Surgical Patients: A Meta-analysis of Randomized Controlled Trials.

OBJECTIVE: The purpose of this meta-analysis is to assess the effect of dexmedetomidine on delirium in elderly surgical patients. DATA SOURCES: The Cochrane Library, Web of Science, PubMed, EMBASE, and Google Scholar were searched (January 1, 2000, to February 4, 2020) for randomized controlled trials (RCTs). STUDY SELECTION AND DATA EXTRACTION: RCTs without language restrictions were included if delirium incidence was assessed in elderly surgical patients receiving dexmedetomidine. Intervention and basic information were extracted. DATA SYNTHESIS: 21 studies were included. Dexmedetomidine reduced delirium occurrence (risk ratio [RR] = 0.55; 95% CI = 0.45 to 0.67) in elderly surgical patients with sufficient evidence from trial sequential analysis. Dexmedetomidine did not prevent delirium incidence for cardiac surgery (RR = 0.71; 95% CI = 0.44 to 1.15) with insufficient evidence. Dexmedetomidine decreased mortality incidence (RR = 0.47; 95% CI = 0.25 to 0.89), shortened the length of intensive care unit (ICU; standard mean difference [SMD] = -0.46) and hospital stays (SMD = -0.41), and increased bradycardia incidence (RR = 1.60). RELEVANCE TO PATIENT CARE AND CLINICAL PRACTICE: This review revealed that dexmedetomidine could reduce delirium incidence for elderly noncardiac surgical patients, and the effect of dexmedetomidine on delirium for elderly cardiac surgical patients needs further studies to guide clinicians. CONCLUSION: Dexmedetomidine reduced delirium incidence in elderly surgical patients. The efficacy of dexmedetomidine on delirium for elderly cardiac surgical patients warrants further studies. Furthermore, dexmedetomidine was associated with an increased bradycardia incidence, shorter length of ICU/hospital stays, and a lower incidence of mortality.

Transcriptional profiling of single fiber cells in a transgenic paradigm of an inherited childhood cataract reveals absence of molecular heterogeneity.

Our recent single-cell transcriptomic analysis has demonstrated that heterogeneous transcriptional activity attends molecular transition from the nascent to terminally differentiated fiber cells in the developing mouse lens. To understand the role of transcriptional heterogeneity in terminal differentiation and the functional phenotype (transparency) of this tissue, here we present a single-cell analysis of the developing lens, in a transgenic paradigm of an inherited pathology, known as the lamellar cataract. Cataracts hinder transmission of light into the eye. Lamellar cataract is the most prevalent bilateral childhood cataract. In this disease of early infancy, initially, the opacities remain confined to a few fiber cells, thus presenting an opportunity to investigate early molecular events that lead to cataractogenesis. We used a previously established paradigm that faithfully recapitulates this disease in transgenic mice. About 500 single fiber cells, manually isolated from a 2-day-old transgenic lens were interrogated individually for the expression of all known 17 crystallins and 78 other relevant genes using a Biomark HD (Fluidigm). We find that fiber cells from spatially and developmentally discrete regions of the transgenic (cataract) lens show remarkable absence of the heterogeneity of gene expression. Importantly, the molecular variability of cortical fiber cells, the hallmark of the WT lens, is absent in the transgenic cataract, suggesting absence of specific cell-type(s). Interestingly, we find a repetitive pattern of gene activity in progressive states of differentiation in the transgenic lens. This molecular dysfunction portends pathology much before the physical manifestations of the disease.

Effect of State Immunization Information System Based Reminder/Recall for Influenza Vaccinations: A Randomized Trial of Autodialer, Text, and Mailed Messages.

OBJECTIVE: To evaluate the effect of different modalities of centralized reminder/recall (autodialer, text, mailed reminders) on increasing childhood influenza vaccination. STUDY DESIGN: Two simultaneous randomized clinical trials conducted from October 2017 to April 1, 2018, in New York State and Colorado. There were 61 931 children in New York (136 practices) and 23 845 children in Colorado (42 practices) who were randomized to different centralized reminder/recall modalities-4 arms in New York (autodialer, text, mailed, and no reminder control) and 3 arms in Colorado (autodialer, mailed, and no reminder control). The message content was similar across modalities. Up to 3 reminders were sent for intervention arms. The main outcome measure was receipt of ≥1 influenza vaccine. RESULTS: In New York, compared with the control arm (26.6%), postintervention influenza vaccination rates in the autodialer arm (28.0%) were 1.4 percentage points higher (adjusted risk ratio, 1.06; 95% CI, 1.02-1.10), but the rates for text (27.6%) and mail (26.8%) arms were not different from controls. In Colorado, compared with the control arm (29.9%), postintervention influenza vaccination rates for the autodialer (32.9%) and mail (31.5%) arms were 3.0 percentage points (adjusted risk ratio, 1.08; 95% CI, 1.03-1.12) and 1.6 percentage points (adjusted risk ratio, 1.06; 95% CI, 1.02-1.10) higher, respectively. Compared with the control arm, the incremental cost per additional vaccine delivered was $20 (New York) and $16 (Colorado) for autodialer messages. CONCLUSIONS: Centralized reminder/recall for childhood influenza vaccine was most effective via autodialer, less effective via mail, and not effective via text messages. The impact of each modality was modest. Compared with no reminders, the incremental cost per additional vaccine delivered was also modest for autodialer messages. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03294473 and NCT03246100.

How Well is the Medical Home Working for Latino and Black Children?

Objective To examine the benefits of having a medical home among Latino and Black school-aged children, both with and without special health care needs (CSHCN). Methods Data from the 2011-2012 National Survey of Children's Health (NSCH) were analyzed to examine the associations of preventive dental and medical care, unmet dental or medical care, or missed school days with having a medical home among Latino and Black children compared to White children. Multivariate logistic regression with survey weights was used to adjust for child, parent, home, and geographic characteristics and an interaction term to estimate differences in outcomes among Black or Latino children receiving care in a medical home compared to White children with a medical home. Results Approximately 35% of Latino CSHCN and Latino non-CSHCN ages 6-17 years of age had a medical home. In the adjusted model comparing the effectiveness of the medical home by race and ethnicity, Latino non-CSHCN compared to White non-CSHCN were associated with lower odds of having one or more preventive dental visit in the last 12 months (OR 0.66; 95% CI 0.46-0.95) and no other associations between having a medical home and outcomes were found among Latinos compared to Whites regardless of non-CSHCN or CHSCN status. Meanwhile, having a medical home among Black non-CHSCN and CHSCN, compared to their White counterparts, showed potential benefits in regards to unmet medical care needs after adjusting for covariates, (OR 0.15; 95% CI 0.06-0.35; OR 0.16; 95% CI 0.05-0.55). Conclusions Medical homes may not be effective in delivering health services to the majority of Latino children but provide some benefit to Black children with and without CSHCN. Alternatively, the medical home may function differently for Latinos due to the specific medical home components measured by NSCH.

Trends in Cervical Cancer Screening in California's Family Planning Program.

OBJECTIVE: Guidelines recommend 3-year cervical cancer screening intervals to avoid unnecessary invasive procedures; however, regular testing remains critical. We evaluated trends in cervical cancer screening among low-income women receiving family planning-related services and their association with patient and provider characteristics. MATERIALS AND METHODS: Using claims and enrollment data from California's publicly funded family planning program, we identified 540,026 women with a clinician visit at 216 sites between 2011 and 2015. We calculated guideline adherent cervical cancer testing rates for 6-month periods among women aged 21 to 24, 25 to 29, and 30 to 64 years. We also calculated guideline adherent chlamydia testing for women aged 21 to 24 years. RESULTS: Having a 3-year cervical cancer screening test declined for all age groups. The odds of cervical cancer screening declined for women aged 21 to 24 years by an estimated 11% every 6 months (odds ratio [OR] = 0.90, 95% confidence interval [CI] = 0.89-0.90), a significantly greater decline than for the other age groups. Among women aged 21 to 29 years, the decrease was significantly larger for Latina (ratio of ORs = 0.95, 95% CI = 0.95-0.96) and Spanish-speaking (ratio of ORs = 0.95, 95% CI = 0.95-0.96) women compared with non-Latina and non-Spanish-speaking women. A smaller decline was seen for chlamydia screening. CONCLUSIONS: Changes in screening interval guidelines are associated with overall decreased screening. This trend was strongest among women aged 21 to 24 years, even as they continued to be screened appropriately for chlamydia, suggesting many missed opportunities. Efforts to reduce unnecessary cervical cancer screening should be monitored to maintain appropriate screening rates to avoid advanced-stage diagnoses and higher health care costs.

Validity of Forced Eyelid Closure Test: A Novel Clinical Screening Test for Ocular Myasthenia Gravis.

BACKGROUND: Forced eyelid closure test (FECT) is a clinical screening test developed from the original Cogan lid twitch (CLT) sign to assist in the diagnosis of ocular myasthenia gravis (OMG), We evaluated the sensitivity and specificity of FECT compared with CLT and benchmarked to standard diagnostic tests. METHODS: This study was a retrospective chart review of 48 patients using electronic medical records of those that presented with ptosis and/or diplopia at Doheny Eye Institute, University of California, Los Angeles between February 2015 and April 2016. Patients without FECT testing were excluded. FECT and CLT results, and final diagnosis were recorded. To perform FECT, the patient was asked to squeeze his or her eyelids shut for 5-10 seconds then open quickly and fixate in primary position. The excessive upward overshoot of eyelids movement indicated a positive FECT. The test was performed by a neuro-ophthalmologist before establishing the diagnosis. Patients who had equivocal test results and/or inconclusive final diagnosis were excluded. RESULTS: Of the 48 patients studied, 18 patients (37.5%) had positive FECT; 15 of whom had a final diagnosis of OMG (83.3%). Of the 30 patients with negative FECT, 1 had OMG (3.3%). Of the 48 patients, 35 patients also had a documented CLT result (72.9%). CLT was positive in 11 of these 35 patients (31.4%), and 9 of these 11 had OMG (81.8%). Of the 24 patients with negative CLT, 2 of them had OMG (8.3%). Sensitivity and specificity of FECT were 94% and 91% (joint 95% confidence region: sensitivity × specificity = [0.70, 1] × [0.75, 1]). The relative true-positive fraction (rTPF) between FECT and CLT was 1.15; the relative false-positive fraction was 1.31. CONCLUSIONS: FECT is a simple clinical screening test with good sensitivity and specificity for OMG.

Wearable Near-Eye Tracking Technologies for Health: A Review.

With the rapid advancement of computer vision, machine learning, and consumer electronics, eye tracking has emerged as a topic of increasing interest in recent years. It plays a key role across diverse domains including human-computer interaction, virtual reality, and clinical and healthcare applications. Near-eye tracking (NET) has recently been developed to possess encouraging features such as wearability, affordability, and interactivity. These features have drawn considerable attention in the health domain, as NET provides accessible solutions for long-term and continuous health monitoring and a comfortable and interactive user interface. Herein, this work offers an inaugural concise review of NET for health, encompassing approximately 70 related articles published over the past two decades and supplemented by an in-depth examination of 30 literatures from the preceding five years. This paper provides a concise analysis of health-related NET technologies from aspects of technical specifications, data processing workflows, and the practical advantages and limitations. In addition, the specific applications of NET are introduced and compared, revealing that NET is fairly influencing our lives and providing significant convenience in daily routines. Lastly, we summarize the current outcomes of NET and highlight the limitations.

Comprehensive integration of single-cell transcriptomic data illuminates the regulatory network architecture of plant cell fate specification.

Plant morphogenesis relies on precise gene expression programs at the proper time and position which is orchestrated by transcription factors (TFs) in intricate regulatory networks in a cell-type specific manner. Here we introduced a comprehensive single-cell transcriptomic atlas of Arabidopsis seedlings. This atlas is the result of meticulous integration of 63 previously published scRNA-seq datasets, addressing batch effects and conserving biological variance. This integration spans a broad spectrum of tissues, including both below- and above-ground parts. Utilizing a rigorous approach for cell type annotation, we identified 47 distinct cell types or states, largely expanding our current view of plant cell compositions. We systematically constructed cell-type specific gene regulatory networks and uncovered key regulators that act in a coordinated manner to control cell-type specific gene expression. Taken together, our study not only offers extensive plant cell atlas exploration that serves as a valuable resource, but also provides molecular insights into gene-regulatory programs that varies from different cell types.

Single-cell transcriptome analysis dissects lncRNA-associated gene networks in Arabidopsis.

The plant genome produces an extremely large collection of long noncoding RNAs (lncRNAs) that are generally expressed in a context-specific manner and have pivotal roles in regulation of diverse biological processes. Here, we mapped the transcriptional heterogeneity of lncRNAs and their associated gene regulatory networks at single-cell resolution. We generated a comprehensive cell atlas at the whole-organism level by integrative analysis of 28 published single-cell RNA sequencing (scRNA-seq) datasets from juvenile Arabidopsis seedlings. We then provided an in-depth analysis of cell-type-related lncRNA signatures that show expression patterns consistent with canonical protein-coding gene markers. We further demonstrated that the cell-type-specific expression of lncRNAs largely explains their tissue specificity. In addition, we predicted gene regulatory networks on the basis of motif enrichment and co-expression analysis of lncRNAs and mRNAs, and we identified putative transcription factors orchestrating cell-type-specific expression of lncRNAs. The analysis results are available at the single-cell-based plant lncRNA atlas database (scPLAD; https://biobigdata.nju.edu.cn/scPLAD/). Overall, this work demonstrates the power of integrative single-cell data analysis applied to plant lncRNA biology and provides fundamental insights into lncRNA expression specificity and associated gene regulation.

Comprehensive mapping and modelling of the rice regulome landscape unveils the regulatory architecture underlying complex traits.

Unraveling the regulatory mechanisms that govern complex traits is pivotal for advancing crop improvement. Here we present a comprehensive regulome atlas for rice (Oryza sativa), charting the chromatin accessibility across 23 distinct tissues from three representative varieties. Our study uncovers 117,176 unique open chromatin regions (OCRs), accounting for ~15% of the rice genome, a notably higher proportion compared to previous reports in plants. Integrating RNA-seq data from matched tissues, we confidently predict 59,075 OCR-to-gene links, with enhancers constituting 69.54% of these associations, including many known enhancer-to-gene links. Leveraging this resource, we re-evaluate genome-wide association study results and discover a previously unknown function of OsbZIP06 in seed germination, which we subsequently confirm through experimental validation. We optimize deep learning models to decode regulatory grammar, achieving robust modeling of tissue-specific chromatin accessibility. This approach allows to predict cross-variety regulatory dynamics from genomic sequences, shedding light on the genetic underpinnings of cis-regulatory divergence and morphological disparities between varieties. Overall, our study establishes a foundational resource for rice functional genomics and precision molecular breeding, providing valuable insights into regulatory mechanisms governing complex traits.

Alterations in circulating measures of Th2 immune responses pre-lung transplant associates with reduced primary graft dysfunction.

Primary graft dysfunction (PGD) is a complication of lung transplantation that continues to cause significant morbidity. The Th2 immune response has been shown to counteract tissue-damaging inflammation. We hypothesized that Th2 cytokines/chemokines in blood would be associated with protection from PGD. Utilizing pretransplant sera from the multicenter clinical trials in organ transplantation study, we evaluated Th2 cytokines/chemokines in 211 patients. Increased concentrations of Th2 cytokines were associated with freedom from PGD, namely IL-4 (odds ratio [OR] 0.66 [95% confidence interval {CI} 0.45-0.99], p = 0.043), IL-9 (OR 0.68 [95% CI 0.49-0.94], p = 0.019), IL-13 (OR 0.73 [95% CI 0.55-0.96], p = 0.023), and IL-6 (OR 0.74 [95% CI 0.56-0.98], p = 0.036). Multivariable regression performed for each cytokine, including clinically relevant covariables, confirmed these associations and additionally demonstrated association with IL-5 (OR 0.57 [95% CI 0.36-0.89], p = 0.014) and IL-10 (OR 0.55 [95% CI 0.32-0.96], p = 0.035). Higher levels of Th2 immune response before lung transplant appear to have a protective effect against PGD, which parallels the Th2 role in resolving inflammation and tissue injury. Pretransplant cytokine assessments could be utilized for recipient risk stratification.

Asymptomatic Gouty Tophi in Thyroid Cartilage: A Case Report and Literature Review.

Gouty tophi is a disease characterized by the long-term deposition of monosodium urate crystals in joints or cartilages. The most commonly affected site is the first metatarsophalangeal joint, and gouty tophi in the head and neck region are relatively rare. This article reports a case involving an elderly male with asymptomatic gouty tophi in the thyroid cartilage. The patient had a history of gout for over 10 years and presented with a painless thyroid mass that had been present for at least 3 years. He had not received systemic treatment. Preoperative contrast-enhanced cervical CT results indicated a high likelihood of gouty tophi. Postoperative pathology confirmed the mass to be consistent with gouty nodules. Following the procedure, the patient was treated symptomatically with non-busulfan tablets and colchicine. No recurrence was observed at the 1-year follow-up. This report highlights the need to consider gouty tophi in cases of prolonged gout history and abnormal imaging findings in the head and neck region. Appropriate management, including urate-lowering therapy and surgery, if necessary, can lead to optimal outcomes and prevent recurrences. Further research is warranted to enhance understanding and clinical management of this uncommon regional manifestation of gout.

cisDynet: An integrated platform for modeling gene-regulatory dynamics and networks.

Chromatin accessibility sequencing has been widely used for uncovering genetic regulatory mechanisms and inferring gene regulatory networks. However, effectively integrating large-scale chromatin accessibility datasets has posed a significant challenge. This is due to the lack of a comprehensive end-to-end solution, as many existing tools primarily emphasize data preprocessing and overlook downstream analyses. To bridge this gap, we have introduced cisDynet, a holistic solution that combines streamlined data preprocessing using Snakemake and R functions with advanced downstream analysis capabilities. cisDynet excels in conventional data analyses, encompassing peak statistics, peak annotation, differential analysis, motif enrichment analysis, and more. Additionally, it allows to perform sophisticated data exploration, such as tissue-specific peak identification, time course data modeling, integration of RNA-seq data to establish peak-to-gene associations, constructing regulatory networks, and conducting enrichment analysis of genome-wide association study (GWAS) variants. As a proof of concept, we applied cisDynet to reanalyze comprehensive ATAC-seq datasets across various tissues from the Encyclopedia of DNA Elements (ENCODE) project. The analysis successfully delineated tissue-specific open chromatin regions (OCRs), established connections between OCRs and target genes, and effectively linked these discoveries with 1861 GWAS variants. Furthermore, cisDynet was instrumental in dissecting the time course open chromatin data of mouse embryonic development, revealing the dynamic behavior of OCRs over developmental stages and identifying key transcription factors governing differentiation trajectories. In summary, cisDynet offers researchers a user-friendly solution that minimizes the need for extensive coding, ensures the reproducibility of results, and greatly simplifies the exploration of epigenomic data.

Initiation of Continuous Glucose Monitoring Is Linked to Improved Glycemic Control and Fewer Clinical Events in Type 1 and Type 2 Diabetes in the Veterans Health Administration.

OBJECTIVE: To determine the benefit of starting continuous glucose monitoring (CGM) in adult-onset type 1 diabetes (T1D) and type 2 diabetes (T2D) with regard to longer-term glucose control and serious clinical events. RESEARCH DESIGN AND METHODS: A retrospective observational cohort study within the Veterans Affairs Health Care System was used to compare glucose control and hypoglycemia- or hyperglycemia-related admission to an emergency room or hospital and all-cause hospitalization between propensity score overlap weighted initiators of CGM and nonusers over 12 months. RESULTS: CGM users receiving insulin (n = 5,015 with T1D and n = 15,706 with T2D) and similar numbers of nonusers were identified from 1 January 2015 to 31 December 2020. Declines in HbA1c were significantly greater in CGM users with T1D (-0.26%; 95% CI -0.33, -0.19%) and T2D (-0.35%; 95% CI -0.40, -0.31%) than in nonusers at 12 months. Percentages of patients achieving HbA1c <8 and <9% after 12 months were greater in CGM users. In T1D, CGM initiation was associated with significantly reduced risk of hypoglycemia (hazard ratio [HR] 0.69; 95% CI 0.48, 0.98) and all-cause hospitalization (HR 0.75; 95% CI 0.63, 0.90). In patients with T2D, there was a reduction in risk of hyperglycemia in CGM users (HR 0.87; 95% CI 0.77, 0.99) and all-cause hospitalization (HR 0.89; 95% CI 0.83, 0.97). Several subgroups (based on baseline age, HbA1c, hypoglycemic risk, or follow-up CGM use) had even greater responses. CONCLUSIONS: In a large national cohort, initiation of CGM was associated with sustained improvement in HbA1c in patients with later-onset T1D and patients with T2D using insulin. This was accompanied by a clear pattern of reduced risk of admission to an emergency room or hospital for hypoglycemia or hyperglycemia and of all-cause hospitalization.

Review of recent advances in frequency-domain near-infrared spectroscopy technologies [Invited].

Over the past several decades, near-infrared spectroscopy (NIRS) has become a popular research and clinical tool for non-invasively measuring the oxygenation of biological tissues, with particular emphasis on applications to the human brain. In most cases, NIRS studies are performed using continuous-wave NIRS (CW-NIRS), which can only provide information on relative changes in chromophore concentrations, such as oxygenated and deoxygenated hemoglobin, as well as estimates of tissue oxygen saturation. Another type of NIRS known as frequency-domain NIRS (FD-NIRS) has significant advantages: it can directly measure optical pathlength and thus quantify the scattering and absorption coefficients of sampled tissues and provide direct measurements of absolute chromophore concentrations. This review describes the current status of FD-NIRS technologies, their performance, their advantages, and their limitations as compared to other NIRS methods. Significant landmarks of technological progress include the development of both benchtop and portable/wearable FD-NIRS technologies, sensitive front-end photonic components, and high-frequency phase measurements. Clinical applications of FD-NIRS technologies are discussed to provide context on current applications and needed areas of improvement. The review concludes by providing a roadmap toward the next generation of fully wearable, low-cost FD-NIRS systems.

scPlant: A versatile framework for single-cell transcriptomic data analysis in plants.

Single-cell transcriptomics has been fully embraced in plant biological research and is revolutionizing our understanding of plant growth, development, and responses to external stimuli. However, single-cell transcriptomic data analysis in plants is not trivial, given that there is currently no end-to-end solution and that integration of various bioinformatics tools involves a large number of required dependencies. Here, we present scPlant, a versatile framework for exploring plant single-cell atlases with minimum input data provided by users. The scPlant pipeline is implemented with numerous functions for diverse analytical tasks, ranging from basic data processing to advanced demands such as cell-type annotation and deconvolution, trajectory inference, cross-species data integration, and cell-type-specific gene regulatory network construction. In addition, a variety of visualization tools are bundled in a built-in Shiny application, enabling exploration of single-cell transcriptomic data on the fly.