| Literature DB >> 26413272 |
Hans-Joachim Anders1, Marc Weidenbusch1, Brad Rovin2.
Abstract
Lupus nephritis (LN) remains a kidney disease with significant unmet medical needs despite extensive clinical and translational research over the past decade. These include the need to (i) predict the individual risk for LN in a patient with systemic lupus erythematosus, (ii) identify the best therapeutic option for an individual patient, (iii) distinguish chronic kidney damage from active immunologic kidney injury, (iv) develop efficient treatments with acceptable or no side effects and improve the design of randomized clinical trials so that effective drugs demonstrate efficacy. This review discusses the underlying reasons for these unmet medical needs and options of how to overcome them in the future.Entities:
Keywords: autoimmunity; disease activity; immune complex; response; rituximab
Year: 2015 PMID: 26413272 PMCID: PMC4581390 DOI: 10.1093/ckj/sfv072
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
Unmet medical needs in LN, current and possible future strategies
| Unmet need | Current strategies | Possible future strategies | EBM | PM |
|---|---|---|---|---|
| Predict LN in SLE | Urine screening | Genetic risk stratification | + | |
| Predict CKD/ESRD in LN | LN class in biopsy SCr, proteinuria, BMI | Genetic risk stratification (APOL1 in African ancestry) | + | |
| Response to treatment, blood pressure, race | Re-biopsy, urine proteomics | + | ||
| Assess treatment response on activity | SCr, proteinuria, urinary sediment | SLE/autoimmunity biomarkers | + | + |
| Re-biopsy, kidney injury markers | + | + | ||
| Renal inflammation biomarkers | + | + | ||
| Dissect LN activity from irreversible kidney damage | SCr, proteinuria | Re-biopsy, urine proteomics, more | + | |
| sensitive biomarkers on nephron | + | |||
| number, renal reserve, | + | |||
| non-invasive GFR assay | + | |||
| Avoid drug resistance | - | Genetic/metabolic risk stratification | + | |
| Avoid drug toxicity, especially steroids | Adjust dose if needed | Genetic/metabolic risk | + | |
| stratification, combination of low-dose immunosuppressants with anti-inflammatory drugs, favor | + | |||
| specific drugs over unselective immunosuppressants | + | |||
| Improve response rates | Increase dose of unspecific drugs | Individualize treatment with specific drugs | + | |
| Avoid disease flares | Maintenance therapy with unspecific drugs | Preemptive flare prophylaxis based on biomarkers with drugs of low toxicity, individualize treatment with specific drugs | + | |
| Control smoldering disease | Symptom-based treatment with toxic drugs | Biomarker-based treatment with drugs of low toxicity | + | |
| Normalize cardiovascular risk | Lifestyle modifications, statins, aspirin | Efficient control of systemic autoimmunity and inflammation | + | |
| Avoid pregnancy risks | Avoid teratogenic drugs (CYC, MMF, ACEI/ARB, OAK) | Develop more non-teratogenic drug options | + | |
| Trials that demonstrate efficacy for efficacious drugs | - | Solve problem of poor recruitment, | + | |
| Biomarker-driven patient selection | ||||
| Use endpoints that address drug MoA, avoid add-on design, use steroid sparing as end point, include re-biopsy as end point |
EBM, evidence-based medicine; PM, personalized medicine; LN, lupus nephritis; SLE, systemic lupus erythematosus; CKD, chronic kidneys disease; ESRD, end-stage renal disease; SCr, serum creatinine level; BMI, body mass index; CYC, cyclophosphamide; MMF, mycophenolate mofetil; ACEI, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers; OAK, oral anti-coagulants; MoA, mode of action.
Traditional and potential future criteria for personalized risk predictions
| Question | Clinical criteria | Innovative or potential criteria |
|---|---|---|
| Will my SLE patient develop CKD/ESRD? | Male gender, older age, hypertension, increased SCr | Sequencing for CKD risk genes (UMOD, etc.) |
| Will my SLE patient develop LN? | Anti-snRNP, high SLE activity/anti-dsDNA, childhood-onset SLE, race, family history of diabetes and/or hypertension | Sequencing for LN risk genes |
| Will my LN patient develop ESRD? | Pre-term birth, birth weight, male gender, race (Afro-Americans, Hispanics), hypertension, kidney biopsy (LN Class III–VI, chronicity index/extent of scaring ≈ lost nephrons), SCr, failure to respond to induction therapy (proteinuria), number of flares, progressive fibrosis on re-biopsy | Biomarkers for a number of nephrons and renal reserve |
SLE, systemic lupus erythematosus; LN, lupus nephritis; CKD, chronic kidney disease; ESRD, end-stage renal disease; SCr, serum creatinine.
Pharmacogenetics for personalized drug use in LN
| Drug | Gene | Effect | Assay | Level of evidence | Implication for therapy |
|---|---|---|---|---|---|
| MMF | UGT-1A9 | Different SNP w/more (98T>C) or less exposure (275T>A, 2152C>T) to MPA | TaqMan allelic discrimination assays for 98T>C, 275T>A, 2152C>T | Kidney transplant patients, total | Differences in efficacy due to variable reabsorption |
| IMPDH-1 | MPA efficacy | TaqMan allelic discrimination assays for rs2278293 and rs2278294 | Kidney transplant patients, total | Lack of efficacy due to defective conversion into active metabolite | |
| CYP-2C8 | Anemia with MPA | Genotyping for SNPs rs11572076 and rs11572103 | Liver or kidney transplant patients, | Increased toxicity due to defective metabolite inactivation | |
| ABC-C2 | Diarrhea with MPA | Genotyping for C-24T SNP | Kidney transplant patients, | Increased toxicity due to lower oral clearance | |
| CYC | CYP-2B6 | CYC activation | PCR-RFLP for CYP2C19*2, CYP2C19*3 and CYP2C19*17 | Retrospective analysis on LN patients, | Lack of efficacy due to defective conversion into active metabolite |
| GSTP1 | CYC detoxification | PCR-RFLP for 105I/V | SLE patients, | Increased toxicity due to defective metabolite inactivation | |
| AZA | TPMT | Hematotoxicity | TMT activity assay | Guideline recommendation for pre-treatment screening | Increased toxicity due to defective metabolite inactivation |
| ITPA | Skin and GI toxicity | Genotyped for ITPA 94C>A | Inflammatory bowel disease patients, | Increased toxicity due to defective metabolite inactivation | |
| CyA | ABC-B1 | Nephrotoxicity | Melting curve PCR for C3435T | Liver transplant patients ( | Increased toxicity due to defective metabolite inactivation |
| TAC | CYP-3A5 | Nephrotoxicity, hypertension, hyperlipidemia | Melting curve PCR for A6986G | Healthy donor, heart and liver transplant patients, retrospective analysis, total | Increased toxicity due to increased renal exposure |
| RTX | FCγRIIIa | Rituximab binding affinity 10-fold increased with VV genotype | PCR, sequencing for 158VV | Conflicting data on LN [ | Lack of efficacy due to less ADCC |
| IL2–IL21 region | NK cells cytotoxicity? | Taqman allelic discrimination assay for rs6822844 G/T | Retrospective analysis on SLE patients, | Lack of efficacy due to NK cell hyporesponsiveness | |
| CLQ | IL10 | (H)CQ efficacy | Taqman allelic discrimination assay for IL-10 1082 A>G,819 C>T, 592 C>A | SLE patients, | Increased efficacy |
| TNFα | (H)CQ efficacy | Taqman allelic discrimination TNFα 308 A>G | SLE patients, | Increased efficacy | |
| ABC-A4 | Both predisposing and protective alleles for (H)CQ induced maculopathy | Genotyping for c.5682G > C, c.5814A > G, c.5844A > G, sequencing | Case-control studies, | Pre-treatment screening | |
| G6PD | Possible hemolysis after (H)CQ treatment | Fluorescent spot test (cave: heterozygous females), genotyping | Drug information | Increased toxicity due to stress sensitivity of erythrocytes |
MMF, mycophenolate mofetil; CYC, cyclophosphamide; AZA, azathioprine; TAC, tacrolimus; RTX, ritusimab; CLQ, chloroquine; ABC, ATP-binding cassette multidrug resistance transporter; ADCC, antibody-dependent cellular cytotoxicity; CYC, cyclophosphamide; CYP, cytochrome P450; FCγRIIIa, Fc gamma receptor 3a; G6PD, glucose-6-phophate dehydrogenase; GSTP, glutathione S-transferase P; (H)CQ (hydroxyl)chloroquine; IL, interleukin; IMPDH, inosine monophosphate dehydrogenase; ITPA, inosine triphosphate pyrophosphatase; LN, lupus nephritis; MPA, mycophenolic acid; NK, natural killer; PCR, polymerase chain reaction; RFLP, restriction fragment length polymorphism; SLE, systemic lupus erythematosus; SMPC, summary of medicinal product characteristics; SNP, single-nucleotide polymorphism; TNF, tumor necrosis factor; TPMT, thiopurine S-methyltransferase; UGT, uridine diphosphate glucuronosyltransferase.
Recent major RCTs in LN
| Compound | Compound class | Target protein | Study phase | Status |
|---|---|---|---|---|
| Abatacept-BMS | CLTA4-Ig | CLTA4-B7 | III | Unsuccessful |
| Abatacept-ACCESS | CLTA4-Ig | CLTA4-B7 | II | Unsuccessful |
| Laquinimod | Small mol. | ? | II | Promising |
| Rituximab | Antibody | CD20 | III | Unsuccessful |
| Ocrelizumab | Antibody | CD20 | III | Unsuccessful |
| Sirukumab | Antibody | IL-6 | II | Unsuccessful |
| Bortezomib | Small mol. | Proteasome | IV | Unsuccessful |
| Anti-CD40 ligand | Antibody | CD40L | II | Unsuccessful |
| Tabalumab | Antibody | BLyS | III | Unsuccessful |
| Belimumab | Antibody | BLyS | III | Ongoing |
| BIIB023 | Antibody | TWEAK | II | Ongoing |
Ig, immunoglobulin fusion protein; BLyS, B lymphocyte stimulator; TWEAK, tumor necrosis factor (TNF)-like weak inducer of apoptosis.
Disease definitions, trial design and RCT outcomes of classic disease entities
| Disease | Definition | RCT end point criteria | End points relate to MoA | Trials often |
|---|---|---|---|---|
| Hypertension | Blood pressure | Blood pressure | + | Successful |
| Diabetes | Hba1c | Hba1c | + | Successful |
| Rheumatoid arthritis | RF + painful joints | Painful joints | + | Successful |
| ANCA vasculitis | ANCA + activity score | Activity score + relapse | + | Successful |
| LN | Kidney biopsy | GFR, sediment, proteinuria | − | Unsuccessful |
| Diabetic nephropathy | Hba1c + albuminuria | GFR | − | Unsuccessful |
RCT, randomized controlled trial; MoA, mode of action; RF, rheumatoid factor; ANCA, anti-neutrophil cytoplasmic antibody; GFR, glomerular filtration rate.