The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Phase 1 Study of Anti-CTGF Monoclonal Antibody in Patients with Diabetes and Microalbuminuria
Open accessAbstract
BACKGROUND AND OBJECTIVES: This report summarizes the first phase 1 trial treating patients with microalbuminuric diabetic kidney disease (DKD) using FG-3019, a human monoclonal antibody to connective tissue growth factor (CTGF). CTGF is critically involved in processes of progressive fibrosis, including DKD. This phase 1, open-label, dose-escalation trial evaluated safety, pharmacokinetics, and possible therapeutic effects of FG-3019 on albuminuria, proteinuria, and tubular proteins. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: Microalbuminuric subjects (n = 24) with type 2 (79%) or type 1 (21%) diabetes received 3 or 10 mg/kg FG-3019 dosed intravenously every 14 days for four doses. Albuminuria and safety follow-up were to days 62 and 365, respectively. RESULTS: No infusion was interrupted for symptoms, although 5 of 24 subjects had mild infusion-day adverse events thought to be possibly drug-related. No subject developed anti-FG-3019 antibodies. FG-3019 clearance was lower at 10 mg/kg than at 3 mg/kg, suggesting a saturable elimination pathway. Although this study was not designed for efficacy testing, it was notable that urinary albumin/creatinine ratio (ACR) decreased significantly from mean pretreatment ACR of 48 mg/g to mean post-treatment (day 56) ACR of 20 mg/g (P = 0.027) without evidence for a dose-response relationship. CONCLUSIONS: Treatment of microalbuminuric DKD subjects using FG-3019 was well tolerated and associated with a decrease in albuminuria. The data demonstrate a saturable pathway for drug elimination, minimal infusion adverse events, and no significant drug-attributable adverse effects over the year of follow-up. Changes in albuminuria were promising but require validation in a prospective, randomized, blinded study.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Levey, A. S., Bosch, J. P., Lewis, J. B., Greene, T., Rogers, N., Roth, D., & for the Modification of Diet in Renal Disease Study Group* (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00002 · Cited by 15,079
Brenner, B. M., Cooper, M. E., de Zeeuw, D., Keane, W. F., Mitch, W. E., Parving, H.-H., Remuzzi, G., Snapinn, S. M., Zhang, Z., & Shahinfar, S. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011161 · Cited by 7,493
Lewis, E. J., Hunsicker, L. G., Clarke, W. R., Berl, T., Pohl, M. A., Lewis, J. B., Ritz, E., Atkins, R. C., Rohde, R., & Raz, I. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011303 · Cited by 5,987
Cited by
Mechanisms of Diabetic Complications
Forbes, J. M., & Cooper, M. E. (2013) · Physiological Reviews · doi:10.1152/physrev.00045.2011 · Cited by 2,890
Targeting the progression of chronic kidney disease
Ruiz-Ortega, M., Rayego-Mateos, S., Lamas, S., Ortiz, A., & Rodrigues-Diez, R. R. (2020) · Nature Reviews Nephrology · doi:10.1038/s41581-019-0248-y · Cited by 979
Taking aim at the extracellular matrix: CCN proteins as emerging therapeutic targets
Jun, J.-I., & Lau, L. F. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3599 · Cited by 568
Lampi, M. C., & Reinhart-King, C. A. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aao0475 · Cited by 551
Pathophysiology of the Diabetic Kidney
Vallon, V., & Komers, R. (2011) · Comprehensive Physiology · doi:10.1002/cphy.c100049 · Cited by 259
Metadata
- Authors
- Adler, S. G., Schwartz, S., Williams, M. E., Arauz-Pacheco, C., Bolton, W. K., Lee, T., Li, D., Neff, T. B., Urquilla, P. R., & Sewell, K. L.
- Venue
- Clinical Journal of the American Society of Nephrology
- Published
- 2010-08
- Volume
- 5
- Issue
- 8
- Pages
- 1420-1428
- ISSN
- 1555-9041 (ISSN-L)
- OpenAlex
- W2039180324
- Cited by
- 204
- References
- 3
- FWCI
- 12.14
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Phase 1 Study of Anti-CTGF Monoclonal Antibody in Patients with Diabetes and Microalbuminuria. https://app.cochat.ai/papers/10.2215/cjn.09321209
- The paper
- Adler, S. G., Schwartz, S., Williams, M. E., Arauz-Pacheco, C., Bolton, W. K., Lee, T., Li, D., Neff, T. B., Urquilla, P. R., & Sewell, K. L. (2010). Phase 1 Study of Anti-CTGF Monoclonal Antibody in Patients with Diabetes and Microalbuminuria. Clinical Journal of the American Society of Nephrology. https://doi.org/10.2215/cjn.09321209
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.