Clinical trial NCT06210464: Disease and Biomarker Profiling of Chinese Lupus Nephritis
Official title: Disease and Biomarker Profiling of Chinese Lupus Nephritis
Study type: OBSERVATIONAL
Overall status: NOT_YET_RECRUITING
Conditions: Characterize the Molecular Profile of Lupus Nephritis(LN) Patients to Understand Themechanism(s)Contributing to Patient Responsiveness to Soc
Integrated Analysis of LN Patient Molecular Profiling and Clinical Annotations to Understand LNdisease Heterogeneity for Disease Endotype
Validate the Association of the Candidate Biomarker Panel Proposed in Table 3-1 With LN Diseasemonitoring
Lead sponsor: RenJi Hospital
Sponsor class: OTHER
Collaborators: name: Novartis
First posted: 2024-01-18
Enrollment: 100
Sex: ALL
Minimum age (years): 18
Maximum age (years): 75
Standard ages: ADULT
OLDER_ADULT
Observational model: OTHER
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: aged 18 years and 75 years

Brief summary: In the proposed study , Novartis Institutes of Biomedical Research ( NIBR ) collaborates with Reni HospitalAffiated to Shanghai Jiaotong University School of Medicine ( Ren ) , aiming to identify particular LNendotype , and to discover novel biomarkers which link the endotype to disease phenotype , especially todisease monitorng , treatment response and prognosis prediction . The study proposes to take bothcandidate approach ( reported biomarkers ) and unbiased high-throughput proteomics profiling tools( Somascan measures up to 7,000 protein analytes ) to analyze 100 Class I / V LN patients with welldocumented clinical annotation , treatment schedule and disease follow up . Both serum / plasma and urrpatients will be extensively characterized with a focus on non-invasive biomarkediscovery and validation . Integrated analysis will be performed to associate patient molecular signature withtheir clinical annotation , renal pathology features , and response to Soc treatment . We will generahypothesis from these analyses to propose molecular markers to predict patient response to Soc treatmentand to endotype the disease , discover the mechanisms that could contrbute to unsatisfactory response toSoc , and identity more specific and sensitive non-invasive biomarkers in serum or urine that can be used in disease monitoring , disease prognosis and patient stratificationproposed study Will help usunderstand the heterogeneity of LN at the molecular level , which could be an essential first step towardsLN precision medicine . It will provide scientific rationale for improved LN clinical diagnosis , novel therapeutichypothesis , patient stratification , clinical study design and combination strategy.


Eligibility criteria: Inclusion Criteria:

* 1. Able to communicate well with investigator, understand the study procedures and provide writteninformed consent before any study-related sample/data are accesse 2. Men and women with systemic lupus erythematosus (see below), aged 18 years and 75 years fulfilling 1997 ACR classification criteria for SLE, or 2012 SLICC classification criteria for SLE,OI2020 eularacr classification criteria for sstological diagnosis of proliferative lupusnephritis wealth OrganizationO)ISN/RPS (Weening et al 2004) Class I or class IV,with soc treatment anddisease monitoringleast one year 3. Serum/plasma and urine samples were collected at baseline of the treatme

Exclusion Criteria:

* 1.Presence of another autoimmune rheumatic disease that is active and constitutes the principalIllness , except for rheumatoid arthritis , Sjogrens syndrome and autoimmune thyroiditis 2 . Any glomerulonephritis other than WHO Class l or V lupus nephritis Patients with proliferativenephritis ( Class l or V ) who , in addition , have overlapping histological signs for other glomerulonephritis , e.g. , Class V are eligible at the investigator s discretion 3. History of malignancy with the exception of basal cell or squamous cell carcinoma of the skin orsitu carcinoma of the cervix within the last 2 vears 4 . Urinary system infection 5 . Pregnant women

Primary outcomes:
measure: Serum SDMA : serum EMIT or LC-MS assayUrinary
timeFrame: 2025
measure: SCD163 : urine ELISA assay
timeFrame: 2025
measure: Urine RALL Index ( NGAL , KIM-1 , MCP-1 , Adiponectin , Ceruloplasmin andHemopexin ) 4-plex panel ELLA and two single-plex ELISA
timeFrame: 2025
measure: Urine Creatinine urine BM data normalization , enzymatic method on Cobas
timeFrame: 2025
Secondary outcomes:
Other outcomes:
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