Transcriptomes of Major Proximal Tubule Cell Culture Models.

BACKGROUND: Cultured cell lines are widely used for research in the physiology, pathophysiology, toxicology, and pharmacology of the renal proximal tubule. The lines that are most appropriate for a given use depend upon the genes expressed. New tools for transcriptomic profiling using RNA sequencing (RNA-Seq) make it possible to catalog expressed genes in each cell line. METHODS: Fourteen different proximal tubule cell lines, representing six species, were grown on permeable supports under conditions specific for the respective lines. RNA-Seq followed standard procedures. RESULTS: Transcripts expressed in cell lines variably matched transcripts selectively expressed in native proximal tubule. Opossum kidney (OK) cells displayed the highest percentage match (45% of proximal marker genes [TPM threshold =15]), with pig kidney cells (LLC-PK1) close behind (39%). Lower-percentage matches were seen for various human lines, including HK-2 (26%), and lines from rodent kidneys, such as NRK-52E (23%). Nominally, identical OK cells from different sources differed substantially in expression of proximal tubule markers. Mapping cell line transcriptomes to gene sets for various proximal tubule functions (sodium and water transport, protein transport, metabolic functions, endocrine functions) showed that different lines may be optimal for experimentally modeling each function. An online resource (https://esbl.nhlbi.nih.gov/JBrowse/KCT/) has been created to interrogate cell line transcriptome data. Proteomic analysis of NRK-52E cells confirmed low expression of many proximal tubule marker proteins. CONCLUSIONS: No cell line fully matched the transcriptome of native proximal tubule cells. However, some of the lines tested are suitable for the study of particular metabolic and transport processes seen in the proximal tubule.

The Impact of COVID-19 Pandemic on Nephrology and Transplant Services and Clinical Training in India.

OBJECTIVES: COVID-19 has emerged as a global pandemic with significant impacts on health care systems. The present study was conducted to analyze the effects of the COVID-19 pandemic on nephrology and transplant services and clinical training at our center. MATERIALS AND METHODS: This observational study was conducted at the Institute of Kidney Disease and Research Centre (Ahmedabad, India). Our institute is one of the largest tertiary care centers of its kind in India with around 400 total inpatient beds for nephrology, urology, and transplant patients. In 2019, our center had annual outpatient and inpatient numbers of 132 181 and 7471, respectively, and conducted 412 renal transplant procedures. For this study, monthly data on number of outpatients, inpatients, and patients undergoing renal transplant, as well as various nonelective procedures, conducted in 2019 and 2020 were collected and analyzed. We investigated the impact of the COVID-19 pandemic on various non-COVID-19-related health care facilities and on clinical training and research activities at our institute. RESULTS: During the 2020 COVID-19 period, the number of outpatients and inpatients was greatly reduced compared with data from 2019. A similar decrease was seen in patients undergoing hemodialysis, renal transplant, and nonelective procedures at our center. The COVID-19 period also greatly affected clinical training of residents enrolled at our institute and research activities, as a result of focus on COVID-19 as a priority. CONCLUSIONS: The effects of reduced numbers of outpatients and inpatients on workflow, as well as reduced numbers of renal transplants and nonelective procedures on the health of our patients, are unknown. Hence, a strategic scheme is needed to develop new health care models that can help manage the COVID-19 pandemic at present and any further waves arising in the future.

Feasibility and safety of remdesivir in SARS-CoV2 infected renal transplant recipients: A retrospective cohort from a developing nation.

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection has drastically impacted the transplant communities. Remdesivir (RDV) has shown some promising results in coronavirus disease (COVID-19) albeit with low certainty. Data in kidney transplant recipients (KTR) are still lacking. METHODS: This was a retrospective cohort of 57 moderate to severe COVID-19 positive KTR in a single center who received RDV as a part of COVID-19 management. No dose adjustments were done. The outcomes were measured as acute kidney injury (AKI) recovery; liver function tests abnormalities; other side effects; graft loss and death. RESULTS: The median (inter-quartile range) age of presentation was 44 (31-51) years. The duration from onset of symptoms to RDV initiation was 6 (5-7) days. Thirty-two (56%) cases received RDV on the day of admission. Forty-six (81%) cases were on oxygen support upon initiation of RDV. Thirty-eight (66.6%) cases had acute kidney injury on admission. The median baseline, admission, and 28-day follow-up serum creatinine of the cohort were 1.59 (1.1-2.1), 2.13 (1.3-3.1), and 1.58 (1.05-2.1) mg/dl, respectively. A total of 8(14%) cases died in the study with 1 (1.7%) graft loss. All those cases that died were on oxygen therapy at the time of initiation of RDV. No liver function derangements or any other major adverse events with the drug were reported. CONCLUSION: RDV therapy is safe and clinically feasible in renal transplant recipients as seen in our cohort. Larger clinical registries and randomized clinical trials should be conducted to further explore the efficacy in transplant recipients.

Feasibility of Convalescent Plasma Therapy in Kidney Transplant Recipients With Severe COVID-19: A Single-Center Prospective Cohort Study.

OBJECTIVES: There are limited clinical data on feasibility and safety of convalescent plasma therapy in kidney transplant recipients with severe COVID-19. The present study was conducted to explore the feasibility of convalescent plasma treatment in 10 kidney transplant recipients with severe COVID-19. MATERIALS AND METHODS: The prospective observational cohort study was conducted at the Institute of Kidney Disease and Research Centre, Ahmedabad, India. All patients were admitted to the intensive care unit and received antiviral therapy, glucocorticoids, and other supportive care. Two doses of 200 mL each of convalescent plasma with neutralization activity of >1:640 were transfused into patients 24 hours apart following the World Health Organization blood transfusion protocol. The endpoints were the improvement of clinical symptoms and laboratory parameters within 1 day and 7 days after convalescent plasma transfusion. RESULTS: The patients showed resolution of clinical symptoms, and there was a significant decrease in inflammatory markers (P < .05) within 7 days of convalescent plasma transfusion. Of the 10 patients, 9 patients had full recovery and 1 patient died. CONCLUSIONS: Convalescent plasma therapy is highly safe and clinically feasible and reduces mortality in kidney transplant recipients with severe COVID-19. Larger clinical registries and randomized clinical trials should be conducted to further explore the clinical outcomes associated with convalescent plasma use in kidney transplant recipients with severe COVID-19.

Role of Biochemical Markers in Invasive Ventilation of Coronavirus Disease 2019 Patients: Multinomial Regression and Survival Analysis.

Background and objectives Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen responsible for the coronavirus disease 2019 (COVID-19) pandemic. The disease mainly affects the respiratory system of the patient, in particular, the lungs, which leads to patients presenting with acute respiratory distress syndrome and acute respiratory failure, with 5-15% of patients requiring observation in the intensive care unit (ICU) with respiratory support in the form of ventilation. This study was aimed at identifying the role of biochemical markers in the risk stratification of invasive and non-invasive ventilation of hospitalized COVID-19 patients. Materials and methods The study was conducted as a prospective, observational study of all admitted COVID-19 patients. A comparative analysis was performed of the survivors who were on invasive versus (vs) non-invasive ventilation and the non-survivors similarly. After computing the descriptive statistics, a multinomial logistic regression model was applied to obtain an unadjusted odds ratio (OR) at 95% confidence interval (CI), with Hosmer-Lemeshow (HL) goodness-of-fit test used to predict the fitness of the data. Kaplan-Meier survival curves were obtained for each of the laboratory investigations predicting survival along with the intensive care stay and invasive ventilation. A log-rank test was carried out to compare the survival distributions. Results A total of 373 included patients in the study had a mean age of 52.78 ± 15.76 years with females younger than males, and indifference amongst invasive vs non-invasively ventilated (p=0.821). Females were slightly more prone to invasive ventilation (p=0.097). Overall, 39% of the subjects did not need respiratory support, while 13% were on a ventilator, 16% on bilevel positive airway pressure/continuous positive airway pressure (BiPAP/CPAP), and 31% on supplemental oxygen therapy. Among the laboratory markers, mean hemoglobin was evidently lower in the invasive group, leukocytosis and thrombocytopenia were present in both invasively ventilated and non-surviving patients, while neutrophilia and lymphocytopenia were statistically indifferent among the mode of ventilation. Elevated urea, creatinine, and sodium were also significantly deranged laboratory markers amongst the invasively ventilated group. C-reactive protein (CRP) and lactate dehydrogenase (LDH) were elevated significantly in the invasive group, while serum ferritin was more frequently raised in the non-invasively ventilated group. Procalcitonin (PCT) was significantly associated with invasive ventilation as opposed to the non-invasive group. D-dimer was equally raised in both the groups at admission but significantly elevated in the invasive group at discharge. A multinomial regression model signified D-dimer (OR: 16.301), hypernatremia (OR: 12.738), creatinine (OR: 12.589), urea (OR: 12.576), and LDH (OR: 12.245) most significantly associated with death, while those for invasive ventilation were D-dimer (OR: 8.744), hypernatremia (OR: 4.532), PCT (OR: 3.829), neutrophilia (OR: 3.804), leukocytosis (OR: 3.330), and serum urea (OR: 3.312). Kaplan-Meier curves conclude total leucocyte count (TLC), neutrophils, lymphocytes, urea, creatinine, sodium, CRP, LDH, PCT, and D-dimer all significantly contributing to an early death. Conclusion The most significant marker for mortality was D-dimer, followed by serum sodium, urea/creatinine, LDH, ICU stay, and invasive ventilation.

Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19: A Retrospective Observational Study From a Developing Country.

Background and objectives Infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are rapidly spreading, posing a serious threat to the health of people worldwide, resulting in the World Health Organization officially declaring it a pandemic. There are several biochemical markers linked with predicting the severity of coronavirus disease. This study aims to identify the most effective predictive biomarker such as C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), procalcitonin (PCT), and D-dimer, among others, in predicting the clinical outcome of the disease. Materials and methods This study was conducted as a retrospective, observational, multi-centric study, including all admitted COVID-19 positive patients only. The disease outcome was followed along with the hospital course of every patient at the time of analysis. Baseline laboratory investigations of all patients were monitored both at admission and discharge. A comparative analysis was done between the survivors (n=263) and non-survivors (n=101). Statistical analysis was conducted using IBM SPSS Statistics for Windows Version 25 (Armonk, NY: IBM Corp.). Results Of 364 patients, 65.7% were in the isolation ward, and 34.3% were in the intensive care unit; 72.3% of patients survived, while 27.7% of patients died. The mean age of the study population was 52.6 ± 15.8 years with female patients significantly younger than male patients (p=0.001) and 50 to 75 years being the most common age group (p=0.121). Among the survivors versus non-survivors of COVID-19, there were significant differences in total leukocyte count (p<0.001), neutrophil count, (p<0.001), lymphocyte count (p<0.001), urea (p<0.001), serum bicarbonate (p=0.001), CRP levels (p<0.001), LDH (p=0.013), and D-dimer (p<0.001) at admission. At discharge, the laboratory values of non-surviving patients showed significant leukocytosis (p<0.001), neutrophilia (p<0.001), lymphocytopenia (p<0.001), decreased monocytes (p<0.001), elevated urea and creatinine (p<0.001), hypernatremia (p<0.001), decreased serum bicarbonate levels (p<0.001), elevated CRP level (p=0.040), LDH (p<0.001), ferritin (p=0.001), and D-dimer (p<0.001). Among the recovered patients, the laboratory investigations at admission were significantly different from those at discharge like increased platelets (p=0.007), lower neutrophil count (p=0.001), higher lymphocyte count (p=0.005), an improved creatinine (p=0.020), higher sodium (p=0.008), increased bicarbonate levels (p<0.001), decreased CRP levels (p<0.001), and a lower LDH (p=0.039). However, the laboratory values of non-surviving patients had shown a lower hemoglobin (p=0.016), increased mean cell volume (p<0.001), significantly increased total leukocyte count (p<0.001), increased urea and creatinine (p<0.001), hypernatremia (p<0.001), increased bicarbonate (p=0.025), elevated D-dimer levels (p=0.043), and elevated PCT (p=0.021) on discharge. Receiver operating characteristic analysis concluded LDH (area under the curve [AUC]: 0.875), D-dimer (AUC: 0.803), and PCT (AUC: 0.769) were superior biomarkers to ferritin (AUC: 0.714) and CRP (AUC: 0.711) in predicting the fatality of COVID-19. Conclusion Inflammatory markers are a useful guide for predicting mortality, and the study results concluded that LDH, PCT, D-dimer, CRP, and ferritin were effective biomarkers.