Management of patient with Lupus Nephritis (LN) continues to remain a challenge for the treating physicians because of considerable morbidity and even mortality. The search of biomarkers in serum and urine is a focus of researchers to unravel new targets for therapy. In the present study, the utility of NMR-based serum metabolomics has been evaluated for the first time in discriminating LN patients from non-nephritis lupus patients (SLE) and further to get new insights into the underlying disease processes for better clinical management. Metabolic profiling of sera obtained from 22 SLE patients, 40 LN patients and 30 healthy controls (HC) were performed using high resolution 1D 1H-CPMG and diffusion edited NMR spectra to identify the potential molecular biomarkers. Using multivariate analysis, we could distinguish SLE and LN patients from HC and LN from SLE patients. Compared to SLE patients, the LN patients had increased serum levels of lipid metabolites (including LDL/VLDL lipoproteins), creatinine and decreased levels of acetate. Our results revealed that metabolic markers especially lipids and acetate derived from NMR spectroscopy has high sensitivity and specificity to distinguish LN among SLE patients and has the potential to be a useful adjunctive tool in diagnosis and clinical management of LN.
Several susceptibility genes have been associated with systemic lupus erythematosus (SLE) across different populations worldwide. However, data on association between genetic polymorphisms and SLE from Indian population is scarce. We aimed to replicate the association of single nucleotide polymorphisms (SNPs) in ITGAM, TNFSF4, TNFAIP3 and STAT4 genes with susceptibility to SLE in a North Indian population. Three hundred and ninety-four SLE patients and 583 unrelated healthy controls of the same ethnic background were enrolled. All samples were genotyped for SNPs in ITGAM (rs1143679), TNFSF4 (rs2205960), TNFAIP3 (rs5029939) and STAT4 (rs7574865) using TaqMan genotyping assay. At allele level, significant association with susceptibility to SLE was detected with polymorphisms in ITGAM (A vs. G, odds ratio (OR) = 1.73, 95% confidence interval (CI) = 1.30-2.30, p < 0.001), TNFSF4 (T vs. G, OR = 1.33, 95% CI = 1.08-1.64, p < 0.01), TNFAIP3 (G vs. C, OR = 1.91, 95% CI = 1.27-2.85, p < 0.01) and STAT4 (T vs. G, OR = 1.38, 95% CI = 1.13-1.69, p < 0.01). All four SNPs were associated with SLE under a dominant model with an OR of 1.47 (95% CI = 1.07-2.04, p < 0.05) for ITGAM, 1.30 (95% CI = 1.01-1.69, p < 0.05) for TNFSF4, 1.90 (95% CI = 1.25-2.90, p < 0.01) for TNFAIP3 and 1.38 (95% CI = 1.06-1.78, p < 0.05) for STAT4. Under a recessive model, significant association was found with ITGAM (OR = 4.87, 95% CI = 2.17-10.91, p < 0.001), TNFSF4 (OR = 1.84, 95% CI = 1.13-3.00, p < 0.05) and STAT4 (OR = 1.82, 95% CI = 1.19-2.77, p < 0.01). In conclusion, single nucleotide polymorphisms in ITGAM, TNFSF4, TNFAIP3 and STAT4 genes are associated with susceptibility to SLE in a North Indian population.
Herein we report a case of a 43 year old immunocompromised male, post renal transplant, with Adult Respiratory Distress Syndrome (ARDS), secondary to Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), who required Veno-Venous Extra Corporeal Membrane Oxygenation (VV ECMO), with the unique configuration of double oxygenators. Despite invasive ventilatory support and maximum conventional VV ECMO support, he had persistent refractory hypoxemia. At this point, it was deemed necessary to attempt an adjuvant intervention to improve his oxygenation and hence the decision was made, to add another oxygenator to the existing ECMO circuit. His oxygenation parameters improved after the addition of the second oxygenator. The patient improved gradually and we continued to wean his ECMO settings. He was eventually DE cannulated after 34 days on ECMO. We believe that this is the first case where two oxygenators were placed in parallel, in a single circuit, for a SARS COV-2 patient with refractory hypoxemia. The addition of an oxygenator in parallel was successful in improving oxygenation and more importantly allowed us to continue with ultra-protective lung ventilation. The patient provided informed consent for scientific publication.
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