ABSTRACT
Increasing production requires the development of high yielding cultivars adapted to various environments. Multi-environment trials (MET) remains the best approach to assess the performance of accessions across environments. The objective of this study was to select the best performing and stable accessions of sesame across different environments in Benin Republic. Nineteen sesame accessions were evaluated across eight environments using a randomized complete block design with four replicates. The accessions were evaluated for three traits: days to 50% flowering (D50F), thousand-seed weight (TSW), and seed yield (SY) during 2020 growing season. The stable and top-performing accessions across environments were determined using AMMI (Additive main effects and multiplicative interaction), GGE (Genotype main effect and genotype × environment interaction), and MTSI (Multi-trait stability index). AMMI analysis of variance showed a significant difference across environments for the three traits. The accessions were affected by environmental conditions for the three traits. The broad-sense heritability estimates were high (>0.60) for all the traits, indicating the improvement is achievable through selection. AMMI1 and AMMI2 biplots identified G10 and G13 as high seed yielding accessions adapted to environments E1, E2. The GGE biplot showed two mega-environments for TSW and three mega-environments for D50F and SY. For SY, G11 and G13 were the best accessions in the first mega-environment, G10 the best accession in the second mega-environment; G3 and G8 were the best accessions in the third mega-environment. AMMI and GGE analyses identified G10, G5, G12 as high seed yielding and stable accessions across environments. GGE biplot revealed that E1 and E2 were the most suitable environments for multi-location trials based on their discriminating ability and representativeness. MTSI indicated G10, G13, G19 as promising germplasm to be recommended for breeding program.
ABSTRACT
The regulation of cyclic adenosine monophosphate (cAMP) levels in kidney epithelial cells is important in at least 2 groups of disorders, namely water balance disorders and autosomal dominant polycystic kidney disease. Focusing on the latter, we review genes that code for proteins that are determinants of cAMP levels in cells. We identify which of these determinants are expressed in the 14 kidney tubule segments using recently published RNA-sequencing and protein mass spectrometry data ("autosomal dominant polycystic kidney disease-omics"). This includes G protein-coupled receptors, adenylyl cyclases, cyclic nucleotide phosphodiesterases, cAMP transporters, cAMP-binding proteins, regulator of G protein-signaling proteins, G protein-coupled receptor kinases, arrestins, calcium transporters, and calcium-binding proteins. In addition, compartmentalized cAMP signaling in the primary cilium is discussed, and a specialized database of the proteome of the primary cilium of cultured "IMCD3" cells is provided as an online resource (https://esbl.nhlbi.nih.gov/Databases/CiliumProteome/). Overall, this article provides a general resource in the form of a curated list of proteins likely to play roles in determination of cAMP levels in kidney epithelial cells and, therefore, likely to be determinants of progression of autosomal dominant polycystic kidney disease.
Subject(s)
Cyclic AMP , Kidney Tubules , Polycystic Kidney, Autosomal Dominant , Adenylyl Cyclases/genetics , Adenylyl Cyclases/metabolism , Cyclic AMP/genetics , Cyclic AMP/metabolism , Epithelial Cells/metabolism , Humans , Kidney Tubules/metabolism , Polycystic Kidney, Autosomal Dominant/genetics , Polycystic Kidney, Autosomal Dominant/metabolism , ProteomicsABSTRACT
Systems biology can be defined as the study of a biological process in which all of the relevant components are investigated together in parallel to discover the mechanism. Although the approach is not new, it has come to the forefront as a result of genome sequencing projects completed in the first few years of the current century. It has elements of large-scale data acquisition (chiefly next-generation sequencing-based methods and protein mass spectrometry) and large-scale data analysis (big data integration and Bayesian modeling). Here we discuss these methodologies and show how they can be applied to understand the downstream effects of GPCR signaling, specifically looking at how the neurohypophyseal peptide hormone vasopressin, working through the V2 receptor and PKA activation, regulates the water channel aquaporin-2. The emerging picture provides a detailedframework for understanding the molecular mechanisms involved in water balance disorders, pointing the way to improved treatment of both polyuric disorders and water-retention disorders causing dilutional hyponatremia.
Subject(s)
Receptors, Vasopressin , Water-Electrolyte Imbalance , Aquaporin 2/metabolism , Bayes Theorem , Humans , Receptors, Vasopressin/genetics , Receptors, Vasopressin/metabolism , Systems BiologyABSTRACT
The fluid in the 14 distinct segments of the renal tubule undergoes sequential transport processes that gradually convert the glomerular filtrate into the final urine. The solute carrier (SLC) family of proteins is responsible for much of the transport of ions and organic molecules along the renal tubule. In addition, some SLC family proteins mediate housekeeping functions by transporting substrates for metabolism. Here, we have developed a curated list of SLC family proteins. We used the list to produce resource webpages that map these proteins and their transcripts to specific segments along the renal tubule. The data were used to highlight some interesting features of expression along the renal tubule including sex-specific expression in the proximal tubule and the role of accessory proteins (ß-subunit proteins) that are thought to be important for polarized targeting in renal tubule epithelia. Also, as an example of application of the data resource, we describe the patterns of acid-base transporter expression along the renal tubule.
Subject(s)
Kidney Diseases/genetics , Kidney Glomerulus/metabolism , Kidney Medulla/metabolism , Kidney Tubules/metabolism , Organoids/metabolism , Solute Carrier Proteins/genetics , Animals , Biological Transport , Female , Gene Expression Profiling , Gene Expression Regulation , Gene Ontology , Glomerular Filtration Rate , Humans , Kidney Diseases/metabolism , Kidney Diseases/pathology , Kidney Glomerulus/pathology , Kidney Medulla/pathology , Kidney Tubules/pathology , Male , Mice , Molecular Sequence Annotation , Organoids/pathology , Sex Factors , Single-Cell Analysis , Solute Carrier Proteins/classification , Solute Carrier Proteins/metabolismABSTRACT
BACKGROUND: Ultrasonography may reliably visualize both appropriately positioned and malpositioned femoral-approach catheter tips. Radiography may be used to confirm catheter tip position after placement, but its utility following intraprocedural ultrasound (US) catheter tip verification is unclear. OBJECTIVES: To report the utility of confirmatory radiographs after US-guided tunneled femoral central venous catheter (CVC) placements by interventional radiology in pediatric patients. MATERIALS AND METHODS: A total of 484 pediatric patients underwent bedside US-guided tunneled femoral CVC placements in an intensive care setting at a single tertiary children's hospital between Jan. 1, 2016, and April 20, 2020. Technical success, adverse events, post-procedure radiographic practices and inter-modality catheter tip concordance were recorded. All radiographs were performed within 12 h of catheter placement. RESULTS: The mean patient age was 175±508 days (range: 1 day to 19 years), including 257 (53.1%) males and 227 (46.9%) females. Of the 484 attempted placements, 472 (97.5%) were primary placements. Four hundred eighty-one (99.4%) placements were technically successful. There were three (0.6%) technical failures due to previously undiagnosed iliofemoral venous occlusive disease. Five (1.0%) adverse events occurred. Radiographs were obtained within 12 h of CVC placement in 171 (35.3%) patients, in 120 (70.2%) of whom the indication was recent catheter placement. All 171 (100%) post-placement radiographs showed catheter tip location concordance with the intra-procedural US. In one (0.2%) patient, in whom there was nonvisualization of a guidewire and clinical concern for malposition during US-guided placement, post-procedure radiographs, coupled with multiplanar venography, demonstrated inadvertent paravertebral venous plexus catheter placement. CONCLUSION: The concordance between intra-procedural US and confirmatory post-procedure radiographs of CVC placements by interventional radiology obviates the need for routine radiographs. Radiographs may be obtained in instances of proceduralist uncertainty or clinical concern.
Subject(s)
Catheterization, Central Venous , Central Venous Catheters , Catheterization, Central Venous/adverse effects , Child , Female , Humans , Infant , Male , Radiography , Radiology, Interventional , Ultrasonography , Ultrasonography, InterventionalABSTRACT
BACKGROUND: Isolated persistent left superior vena cava (PLSVC) is a rare vascular anatomic variant, which can be an incidental finding at the time of an endovascular procedure. CASE PRESENTATION: This report describes the technical success, adverse events, and clinical outcomes of transjugular intrahepatic portosystemic shunt (TIPS) creation via isolated PLSVC. Three adult patients with cirrhosis and isolated PLSVC underwent TIPS placement successfully with one major adverse event. Two patients required TIPS revision within 90 days. There were no deaths within 90 days. CONCLUSIONS: TIPS creation via isolated PLSVC is feasible using standard techniques with a left jugular vein approach. Caution is warranted during the procedure to assess for any aberrant drainage pattern to the left atrium and to prepare for potentially challenging instrument navigation through the coronary sinus.
ABSTRACT
Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery1. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive2,3. Moreover, interpretation of intraoperative histologic images is dependent on a contracting, unevenly distributed, pathology workforce4. In the present study, we report a parallel workflow that combines stimulated Raman histology (SRH)5-7, a label-free optical imaging method and deep convolutional neural networks (CNNs) to predict diagnosis at the bedside in near real-time in an automated fashion. Specifically, our CNNs, trained on over 2.5 million SRH images, predict brain tumor diagnosis in the operating room in under 150 s, an order of magnitude faster than conventional techniques (for example, 20-30 min)2. In a multicenter, prospective clinical trial (n = 278), we demonstrated that CNN-based diagnosis of SRH images was noninferior to pathologist-based interpretation of conventional histologic images (overall accuracy, 94.6% versus 93.9%). Our CNNs learned a hierarchy of recognizable histologic feature representations to classify the major histopathologic classes of brain tumors. In addition, we implemented a semantic segmentation method to identify tumor-infiltrated diagnostic regions within SRH images. These results demonstrate how intraoperative cancer diagnosis can be streamlined, creating a complementary pathway for tissue diagnosis that is independent of a traditional pathology laboratory.
Subject(s)
Brain Neoplasms/diagnosis , Computer Systems , Monitoring, Intraoperative , Neural Networks, Computer , Spectrum Analysis, Raman , Algorithms , Brain Neoplasms/diagnostic imaging , Clinical Trials as Topic , Deep Learning , Humans , Image Processing, Computer-Assisted , ProbabilityABSTRACT
PURPOSE: To quantify cost drivers for thoracic duct embolization based on time-driven activity-based costing methods. MATERIALS AND METHODS: This was an Institutional Review Board-approved (HUM00141114) and Health Insurance Portability and Accountability Act-compliant study performed at a quaternary care institution over a 14-month period. After process maps for thoracic duct embolization were prepared, staff practical capacity rates and consumable equipment costs were analyzed via a time-driven activity-based costing methodology. Sensitivity analyses were performed to identify primary cost drivers. RESULTS: Mean procedure duration was 4.29 hours (range: 2.15-7.16 hours). Base case cost, per case, for thoracic duct embolization was $7466.67. Multivariate sensitivity analyses performed with all minimum and maximum values for cost input variables yielded a cost range of $1001.95 (minimum) to $89,503.50 (maximum). Using local salary information and negotiated prices for materials as cost parameters, the true cost per case of thoracic duct embolization at the study institution was $8038.94. Univariate analysis demonstrated that the primary driver of staffing costs was the length of time the attending anesthesiologist was present. The predominant modifiable cost drivers included cyanoacrylate glue volume used (minimum $4467; maximum $12,467), cost of glue utilized (minimum $5217; maximum $10,467), and cost of coils utilized (minimum $7377; maximum $10,917). Univariate analysis predicted that the use of Histoacryl glue in place of TRUFILL cyanoacrylate glue resulted in a cost savings of $2947.50 per case. CONCLUSIONS: The base cost per case for thoracic duct embolization was $7466.67. Costs, namely anesthesia staffing costs, cyanoacrylate glue, and coils were large, potentially modifiable drivers of overall cost for thoracic duct embolization.
Subject(s)
Embolization, Therapeutic/economics , Health Care Costs/statistics & numerical data , Thoracic Diseases/economics , Thoracic Diseases/therapy , Humans , Thoracic Duct , Time FactorsABSTRACT
Urgent responses to the COVID-19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In many scientific fields and disciplines, institutional norms treat data, models, and resources as proprietary, emphasizing competition among scientists and researchers locally and internationally. Concurrently, long-standing norms of open data and collaboration exist in some scientific fields and have accelerated within the last two decades. In both cases-where the institutional arrangements are ready to accelerate for the needed collaboration in a pandemic and where they run counter to what is needed-the rules of the game are "on the table" for institutional-level renegotiation. These challenges to the negotiated order in science are important, difficult to study, and highly consequential. The COVID-19 pandemic offers something of a natural experiment to study these dynamics. Preliminary findings highlight: the chilling effect of politics where open sharing could be expected to accelerate; the surprisingly conservative nature of contests and prizes; open questions around whether collaboration will persist following an inflection point in the pandemic; and the strong potential for launching and sustaining pre-competitive initiatives.
ABSTRACT
Hematochezia may be a result of anatomic, vascular, inflammatory, infectious, or neoplastic diseases. Colonoscopic evaluation and therapy may be limited because of intermittent bleeding in the setting of numerous diverticula. This report describes a patient with diverticulosis who presented with hematochezia and hemodynamic instability with failed colonoscopic and arteriographic evaluations, and was treated with percutaneous transcolonic diverticular cyanoacrylate and epinephrine injection.
ABSTRACT
Recurrent urolithiasis is a common and potentially morbid complication of spina bifida. Although the size, the location, and the composition of these stones often necessitates percutaneous intervention, access is often complicated by body habitus and spinal deformity. There is little consensus regarding the approach to percutaneous lithotripsy when a clear path to the collecting system is unavailable, particularly in the setting of surgically augmented urological anatomy. Here we present the first known case in which a pediatric patient with spina bifida underwent percutaneous lithotripsy of bladder stones via a transpsoas approach.
ABSTRACT
Accurate histopathologic diagnosis is essential for providing optimal surgical management of pediatric brain tumors. Current methods for intraoperative histology are time- and labor-intensive and often introduce artifact that limit interpretation. Stimulated Raman histology (SRH) is a novel label-free imaging technique that provides intraoperative histologic images of fresh, unprocessed surgical specimens. Here we evaluate the capacity of SRH for use in the intraoperative diagnosis of pediatric type brain tumors. SRH revealed key diagnostic features in fresh tissue specimens collected from 33 prospectively enrolled pediatric type brain tumor patients, preserving tumor cytology and histoarchitecture in all specimens. We simulated an intraoperative consultation for 25 patients with specimens imaged using both SRH and standard hematoxylin and eosin histology. SRH-based diagnoses achieved near-perfect diagnostic concordance (Cohen's kappa, κ > 0.90) and an accuracy of 92% to 96%. We then developed a quantitative histologic method using SRH images based on rapid image feature extraction. Nuclear density, tumor-associated macrophage infiltration, and nuclear morphology parameters from 3337 SRH fields of view were used to develop and validate a decision-tree machine-learning model. Using SRH image features, our model correctly classified 25 fresh pediatric type surgical specimens into normal versus lesional tissue and low-grade versus high-grade tumors with 100% accuracy. Our results provide insight into how SRH can deliver rapid diagnostic histologic data that could inform the surgical management of pediatric brain tumors.Significance: A new imaging method simplifies diagnosis and informs decision making during pediatric brain tumor surgery. Cancer Res; 78(1); 278-89. ©2017 AACR.
Subject(s)
Brain Neoplasms/diagnostic imaging , Brain Neoplasms/surgery , Spectrum Analysis, Raman/methods , Adolescent , Adult , Brain Neoplasms/pathology , Child , Child, Preschool , Female , Humans , Image Processing, Computer-Assisted , Infant , Intraoperative Period , Machine Learning , MaleABSTRACT
Conventional methods for intraoperative histopathologic diagnosis are labour- and time-intensive, and may delay decision-making during brain-tumour surgery. Stimulated Raman scattering (SRS) microscopy, a label-free optical process, has been shown to rapidly detect brain-tumour infiltration in fresh, unprocessed human tissues. Here, we demonstrate the first application of SRS microscopy in the operating room by using a portable fibre-laser-based microscope and unprocessed specimens from 101 neurosurgical patients. We also introduce an image-processing method - stimulated Raman histology (SRH) - which leverages SRS images to create virtual haematoxylin-and-eosin-stained slides, revealing essential diagnostic features. In a simulation of intraoperative pathologic consultation in 30 patients, we found a remarkable concordance of SRH and conventional histology for predicting diagnosis (Cohen's kappa, κ > 0.89), with accuracy exceeding 92%. We also built and validated a multilayer perceptron based on quantified SRH image attributes that predicts brain-tumour subtype with 90% accuracy. Our findings provide insight into how SRH can now be used to improve the surgical care of brain tumour patients.
ABSTRACT
Despite advances in the surgical management of brain tumors, achieving optimal surgical results and identification of tumor remains a challenge. Raman spectroscopy, a laser-based technique that can be used to nondestructively differentiate molecules based on the inelastic scattering of light, is being applied toward improving the accuracy of brain tumor surgery. Here, the authors systematically review the application of Raman spectroscopy for guidance during brain tumor surgery. Raman spectroscopy can differentiate normal brain from necrotic and vital glioma tissue in human specimens based on chemical differences, and has recently been shown to differentiate tumor-infiltrated tissues from noninfiltrated tissues during surgery. Raman spectroscopy also forms the basis for coherent Raman scattering (CRS) microscopy, a technique that amplifies spontaneous Raman signals by 10,000-fold, enabling real-time histological imaging without the need for tissue processing, sectioning, or staining. The authors review the relevant basic and translational studies on CRS microscopy as a means of providing real-time intraoperative guidance. Recent studies have demonstrated how CRS can be used to differentiate tumor-infiltrated tissues from noninfiltrated tissues and that it has excellent agreement with traditional histology. Under simulated operative conditions, CRS has been shown to identify tumor margins that would be undetectable using standard bright-field microscopy. In addition, CRS microscopy has been shown to detect tumor in human surgical specimens with near-perfect agreement to standard H & E microscopy. The authors suggest that as the intraoperative application and instrumentation for Raman spectroscopy and imaging matures, it will become an essential component in the neurosurgical armamentarium for identifying residual tumor and improving the surgical management of brain tumors.
Subject(s)
Brain Neoplasms/diagnostic imaging , Brain Neoplasms/surgery , Neurosurgical Procedures/standards , Spectrum Analysis, Raman/standards , Humans , Neurosurgical Procedures/methods , Spectrum Analysis, Raman/methodsABSTRACT
OBJECTIVE Survival rates and prognostic factors for supratentorial hemispheric ependymomas have not been determined. The authors therefore designed a retrospective study to determine progression-free survival (PFS), overall survival (OS), and prognostic factors for hemispheric ependymomas. METHODS The study population consisted of 8 patients from our institution and 101 patients from the literature with disaggregated survival information (n = 109). Patient age, sex, tumor side, tumor location, extent of resection (EOR), tumor grade, postoperative chemotherapy, radiation, time to recurrence, and survival were recorded. Kaplan-Meier survival analyses and Cox proportional hazard models were completed to determine survival rates and prognostic factors. RESULTS Anaplastic histology/WHO Grade III tumors were identified in 62% of cases and correlated with older age. Three-, 5-, and 10-year PFS rates were 57%, 51%, and 42%, respectively. Three-, 5-, and 10-year OS rates were 77%, 71%, and 58%, respectively. EOR and tumor grade were identified on both Kaplan-Meier log-rank testing and univariate Cox proportional hazard models as prognostic for PFS and OS. Both EOR and tumor grade remained prognostic on multivariate analysis. Subtotal resection (STR) predicted a worse PFS (hazard ratio [HR] 4.764, p = 0.001) and OS (HR 4.216, p = 0.008). Subgroup survival analysis of patients with STR demonstrated a 5- and 10-year OS of 28% and 0%, respectively. WHO Grade III tumors also had worse PFS (HR 10.2, p = 0.004) and OS (HR 9.1, p = 0.035). Patients with WHO Grade III tumors demonstrated 5- and 10-year OS of 61% and 46%, respectively. Postoperative radiation was not prognostic for PFS or OS. CONCLUSIONS A high incidence of anaplastic histology was found in hemispheric ependymomas and was associated with older age. EOR and tumor grade were prognostic factors for PFS and OS on multivariate analysis. STR or WHO Grade III pathology, or both, predicted worse overall prognosis in patients with hemispheric ependymoma.
Subject(s)
Ependymoma/mortality , Ependymoma/therapy , Supratentorial Neoplasms/mortality , Supratentorial Neoplasms/therapy , Adolescent , Adult , Aged , Disease-Free Survival , Female , Humans , Male , Middle Aged , Prognosis , Retrospective Studies , Survival Rate , Young AdultABSTRACT
Differentiating tumor from normal brain is a major barrier to achieving optimal outcome in brain tumor surgery. New imaging techniques for visualizing tumor margins during surgery are needed to improve surgical results. We recently demonstrated the ability of stimulated Raman scattering (SRS) microscopy, a nondestructive, label-free optical method, to reveal glioma infiltration in animal models. We show that SRS reveals human brain tumor infiltration in fresh, unprocessed surgical specimens from 22 neurosurgical patients. SRS detects tumor infiltration in near-perfect agreement with standard hematoxylin and eosin light microscopy (κ = 0.86). The unique chemical contrast specific to SRS microscopy enables tumor detection by revealing quantifiable alterations in tissue cellularity, axonal density, and protein/lipid ratio in tumor-infiltrated tissues. To ensure that SRS microscopic data can be easily used in brain tumor surgery, without the need for expert interpretation, we created a classifier based on cellularity, axonal density, and protein/lipid ratio in SRS images capable of detecting tumor infiltration with 97.5% sensitivity and 98.5% specificity. Quantitative SRS microscopy detects the spread of tumor cells, even in brain tissue surrounding a tumor that appears grossly normal. By accurately revealing tumor infiltration, quantitative SRS microscopy holds potential for improving the accuracy of brain tumor surgery.
Subject(s)
Brain Neoplasms/pathology , Brain Neoplasms/surgery , Microscopy/methods , Neuroimaging/methods , Peripheral Nervous System Neoplasms/diagnosis , Spectrum Analysis, Raman/methods , Brain Neoplasms/diagnosis , Glioma/diagnosis , Glioma/pathology , Glioma/surgery , Humans , Models, Animal , Sensitivity and SpecificityABSTRACT
Effective treatment of patients with malignant brain tumors requires surgical resection of a high percentage of the bulk tumor. Surgeons require a method that enables delineation of tumor margins, which are not visually distinct by eye. In this study, the feasibility of using gold nanorods (GNRs) for this purpose is evaluated. Anti-Epidermal Growth Factor Receptor (anti-EGFR) conjugated GNRs are used to label human xenograft glioblastoma multiforme (GBM) tumors embedded within slices of brain tissues from healthy nude mice. The anti-EGFR GNRs exhibit enhanced absorption at red to near-infrared wavelengths, often referred to as the tissue optical window, where absorption from blood is minimal. To enable definition of molecular specificity and spatial accuracy of the label, the GNR absorption is compared with GFP fluorescence which is expressed by the GBM cells used here. This work demonstrates a simple but highly translational technique to classify normal and malignant brain tissue regions in open surgery applications using immunolabeled GNR contrast agents.