An observational study in ARDS, sponsored by Sanjay Gandhi Postgraduate Institute of Medical Sciences. Completed at 1 site in India. Open to participants aged 18 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-20.
Sponsored by Sanjay Gandhi Postgraduate Institute of Medical Sciences · Observational
Acute respiratory distress syndrome (ARDS) is a life-threatening condition requiring respiratory support to maintain oxygenation. Very few biomarkers about ARDS have been identified but none of them has a sufficient specificity or sensitivity to characterize by itself the severity of lung condition. Investigators hypothesize that there is considerable change occurring in metabolic profiles in mild, moderate, and severe ARDS in comparison to healthy cohort, which can be detectable through serum analysis using NMR based metabolomics study. This research would help to understand metabolomics kinetics during the ARDS disease progression. Overall, NMR-based metabolomics study would provide an insight into the mediators involved in pathogenesis and progression of ARDS.
For this study, all adult ICU patients will be screened for ARDS. Participants who fulfill criteria of mild ARDS (PaO2/FiO2 200-300) will be considered for possible inclusion. For comparative analysis, age matched healthy control will also be included in the study. Investigators are planning to work on the blood samples collected from the participants having mild ARDS. First samples will be collected within 72 hours of fulfilling diagnostic criteria of mild ARDS, thereafter every 72 hours till participants recovered from ARDS or discharge from the ICU or three weeks after inclusion, whichever comes first. For serum preparation, 2 ml of blood samples will be obtained in collection vial, allowed to clot for 60 minutes at room temperature. The samples will then be centrifuged at 1,200 × g for 10 minutes, collected in an eppendorf tubes, sealed and frozen at minus 80 degree Celsius till NMR experiments would be performed. Further 1D and 2D NMR spectroscopic techniques will be used for the characterization and quantitation of various metabolic components of serum.
This study is exploratory in nature to understand kinetics of NMR-based metabolomics in ARDS population. Considering approximately 20-25% of mild ARDS will eventually progress to severe ARDS, investigators will include total 120 participants (including healthy participants). Data collection for comprehends demographic profile, clinical characteristics and illness severity score Sequential Organ Failure Assessment (SOFA) score at the time of study inclusion, clinical course during ICU stay and participants outcome will be done.
NMR spectroscopy (800-MHz Bruker) of sample will be performed using an external tube containing Trimethylsilyl propanoic acid (TSP), D2O to lock the signal. Plasma/Serum samples will be thawed and subsequently centrifuged at 10,000g for 5 min at 4°C to remove any solid debris, 450 μl of each sample will be thoroughly mixed with 50 μl of NMR buffer (1.5 MKH2PO4, 2 mM NaN3, 5.8 mM sodium 3-(trimethylsilyl) propionate-2,2,3,3-d4, D2O, pH 7.4) and the resulting solution will be transferred to 5 mm or 3 mm NMR tubes. All one-dimensional spectra with water suppression will be obtained. Proton spectra will be referenced to the TSP signal (δ=0.00 ppm). The Free induction decays (FIDs) will be processed with line broadening and zero filled before Fourier transformation. The acquired spectra will be manually phased; baseline corrected and integrated using TOPSPIN 2.1.
All NMR spectra will be processed and analysed using TOPSIN 3 package. Auto and supervised peak picking will be performed with Amix and metabolites identification will be done using Metaboanlayst and BIOREFCODE database of metabolites. Standard statistical supervised and unsupervised multivariate analysis (PCA and PLSDA) will be performed.
Metabolites in the 1H NMR spectra of serum samples will be assigned using 1D, 2D, HMDB and BMRB database. Small metabolite overlapping resonances present in 1D spectrum will be confirmed by using 2D spectra including heteronuclear single quantum correlation (HSQC), correlation spectroscopy (COSY), Total correlation spectroscopy (TOCSY), J-resolved (JRES) and Human Metabolome Database and Biological magnetic resonance bank (BMRB) database.
1,780 studies on the registry are indexed under Critical Illness; 442 are open to participants now.
This study's enrollment of 120 is below the median of 140 across 814 observational studies indexed under Critical Illness.
Browse Critical Illness studies →Sanjay Gandhi Postgraduate Institute of Medical Sciences is the lead sponsor of 38 studies on the registry; 5 are open to participants now.
Compared within Critical Illness, the registry's first condition term, which may not be this study's main condition. Counted across the registry records on this site, refreshed daily. How we classify →
Patients who fulfill criteria of mild ARDS (PaO2/FiO2 200-300) will be considered for possible inclusion. For comparative analysis, age matched healthy control (from healthy blood donor volunteer will also be included in the study.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Mild Acute Respiratory Distress Syndrome
Healthy volunteer
To identify the potential biomarkers in mild ARDS using NMR based metabolomics
NMR based metabolomics in the serum of patients with mild ARDS
Time frame: Up to the 72 hours after the diagnosis of mild ARDS
To study the kinetics of NMR based metabolomics in mild ARDS and its association with progression of ARDS severity.
Changes in NMR based metabolomics in serum of patients with mild ARDS
Time frame: Three weeks after diagnosing mild ARDS or till ICU discharge (whichever comes first)
Correlation of the infection etiology and NMR based metabolomics
To study microorganism specific changes in NMR based metabolomics, if any
Time frame: Up to the three weeks after the diagnosis of mild ARDS or ICU discharge (whichever comes first)
Plan to share: Undecided
No publications or documents are linked to this record.
Ran from Sep 2023 to primary completion in May 2026, 32 months.
Of 439 non-industry observational studies under Critical Illness, half reached primary completion within 23 months of starting (the median), counting those still running; a quarter within 12 and three quarters within 45. This study's 32 months is above that.
Counting every sponsor, half of 442 studies reached it within 23 months; a quarter within 12 and three quarters within 46.
Critical Illness covers many different conditions, not one, so the studies compared here vary widely. Read these figures as a rough guide.
Since we started tracking on Sep 25, 2026, the dates moved once, on Oct 20, 2026: primary completion Jul 2025 → May 2026 and completion Sep 2025 → May 2026.
Earlier changes are on the record history on ClinicalTrials.gov ↗
How these figures are worked out, and which studies are left out of them.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
This study is completed, as verified in Oct 2026. You cannot join it, but the record below documents what was studied.
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Sanjay Gandhi Postgraduate Institute of Medical Sciences