serum eGFR
Overview
Serum eGFR is the estimated glomerular filtration rate calculated from a serum filtration marker — creatinine, cystatin C, or both — together with age and sex, and it is among the most widely used indicators of kidney function in practice. The qualifier "serum" distinguishes it from a measured GFR obtained by clearing an exogenous marker such as inulin or iohexol, and from creatinine clearance collected over timed urine: the serum-based estimate needs a single blood draw, which is why it is reported automatically with routine chemistry and why nearly all clinical decisions rest on it. The abbreviation is easily confused with EGFR, the epidermal growth factor receptor (EGFR), an unrelated cell-surface receptor protein and oncology drug target.
Its value depends on how well the marker reflects filtration. Creatinine is generated in proportion to muscle mass, so the estimate reads falsely high in sarcopenic or malnourished patients and falsely low in the very muscular, and is disturbed by drugs such as trimethoprim and cimetidine that block tubular creatinine secretion without changing filtration. Cystatin C avoids the muscle dependence and is used to confirm a discrepant creatinine result, with the combined equation the most accurate of the three. Current equations omit the race coefficient once used in the United States, after it was judged to systematically overestimate function in Black patients and delay their access to specialist care and transplant listing.
Clinically, serum eGFR stages chronic kidney disease, tracks progression, determines drug eligibility and dosing for renally cleared agents, and serves as a trial endpoint where the slope of decline rather than any single value defines benefit. It is interpreted alongside the urine albumin-creatinine ratio (UACR), which detects glomerular damage while filtration is still preserved, and in research alongside markers such as plasma sTIM-3. It appears both as an outcome and as the target of interventions intended to slow renal decline, including therapies in IgA nephropathy and studies of kidney function trajectories after acute kidney injury — a setting where the estimate is unreliable while function is changing, since it assumes a steady state that acute injury violates.
Recent Publications Summary
Recent publications involving serum eGFR focused primarily on its use as a kidney function metric rather than as a direct therapeutic target. One machine-learning study used longitudinal glomerular filtration rate (eGFR) trajectories after acute kidney injury hospitalization to predict membership in a high-risk trajectory class associated with subsequent kidney replacement therapy initiation, highlighting serum eGFR as a prognostic marker for post-AKI renal decline 42203305May. Another large-scale European genetic study examined the shared genetic architecture of eGFR and albuminuria, with a particular focus on type 2 diabetes, to better define common and population-specific determinants of chronic kidney disease risk 42191235May.
Across these studies, serum eGFR was used in combination with other clinical or molecular features to stratify kidney disease risk and understand disease biology. The AKI trajectory model emphasized serial eGFR monitoring as an input for predicting adverse renal outcomes, while the genetic study paired eGFR with urine albumin-creatinine ratio (UACR) to investigate overlapping kidney-function and albuminuria loci 42203305May42191235May. Together, these publications reinforce serum eGFR as a central clinical metric for assessing renal function, tracking progression, and supporting risk prediction in chronic kidney disease and post-AKI follow-up 42203305May42191235May.
What Changes, What Holds
1. Serum eGFR is being used as a prognostic trajectory marker rather than only a static kidney-function readout
NEW DIRECTION Longitudinal eGFR patterns after acute kidney injury add a risk-stratification role that goes beyond the Overview’s emphasis on staging CKD and monitoring renal function over time. The new work suggests that serial serum eGFR can identify a subgroup with higher downstream kidney-replacement risk, but it does not replace the established use of eGFR as a general filtration metric. The genetic study also extends the baseline by linking eGFR with albuminuria biology in type 2 diabetes 42203305May42191235May.
2. Serial eGFR monitoring and paired biomarker analysis now look more central to risk modeling and disease biology
REINFORCES These studies strengthen the existing view that serum eGFR is most useful when interpreted alongside other markers such as UACR and in longitudinal follow-up. Rather than changing what eGFR is, they sharpen how it is applied: as an input for prediction, a companion to albuminuria, and a tool for dissecting shared kidney-disease determinants. The baseline already allowed this kind of combined use, so the new work mainly confirms and extends that practice 42203305May42191235May.
Overview update candidates: serial eGFR trajectories for post-AKI risk prediction; shared genetic architecture of eGFR and albuminuria; especially in type 2 diabetes.
serum egfr
Background Contexts
In the literature, the biological baseline, pathological conditions, or disease models commonly surrounding serum egfr are described as follows:
- non-small-cell lung carcinoma (Disease) — 4 papers: PMIDs 42213229, 42203350, 42166539, 41941751
- chronic renal insufficiency (Disease) — 2 papers: PMIDs 42201576, 42191235
- lung cancer brain metastases (Disease) — 2 papers: PMIDs 42163810, 41930545
- unresectable stage III EGFR-mutated non-small cell lung cancer (Disease) — 2 papers: PMIDs 42381268, 41622600
- acute kidney injury (Disease) — 1 paper: PMIDs 42203305
- Bioorthogonal prodrug strategies (Other) — 1 paper: PMIDs 42138023
- bisphenol A (Chemical) — 1 paper: PMIDs 42201343
- deoxyribonucleotide triphosphate (Chemical) — 1 paper: PMIDs 41941751
- EGFR Exon20 insertions (Gene) — 1 paper: PMIDs 41622600
- EGFR mutations (Gene) — 1 paper: PMIDs 42178617
- ferroptosis (Biological Process) — 1 paper: PMIDs 42213229
- glioblastoma (Disease) — 1 paper: PMIDs 41839309
Methodologies & Technologies Used
Researchers utilize the following experimental methods, imaging platforms, computational models, or biological reagents to study serum egfr:
- molecular docking studies (Technology) — 2 papers: PMIDs 42207930, 42201343
- Molecular dynamics simulations (Technology) — 2 papers: PMIDs 42207930, 42201343
- 100-ns molecular dynamics simulations (Technology) — 1 paper: PMIDs 42200498
- 256 kidney transplant recipients (Organism) — 1 paper: PMIDs 42201576
- 3D virtual navigation system (Technology) — 1 paper: PMIDs 42201407
- 44 KTRs (Organism) — 1 paper: PMIDs 42201576
- 442 native CKD patients (Organism) — 1 paper: PMIDs 42201576
- ADME analysis (Technology) — 1 paper: PMIDs 41839309
- ALIGN trial (Other) — 1 paper: PMIDs 42242268
- aminobenzenesulfonamide (Chemical) — 1 paper: PMIDs 41930545
- biochemical binding assay (Technology) — 1 paper: PMIDs 41622600
- cancer cell lines (Cell Line) — 1 paper: PMIDs 42178617
Molecular Interventions & Targets
The primary molecular pathways, regulatory genes, enzymes, or therapeutic agents actively targeted and manipulated in relation to serum egfr include:
- osimertinib (Therapy) — 3 papers: PMIDs 42138023, 41941751, 41622600
- doxorubicin (Therapy) — 2 papers: PMIDs 42207930, 42138023
- erlotinib (Therapy) — 2 papers: PMIDs 42207930, 42200498
- 1,2,4-triazolo[1,5-a]pyrimidine derivatives (Chemical) — 1 paper: PMIDs 42200498
- 12B (Chemical) — 1 paper: PMIDs 41930545
- adrenoceptor beta 2 (Gene) — 1 paper: PMIDs 42201343
- AKR1C1 (Gene) — 1 paper: PMIDs 42213229
- amivantamab (Therapy) — 1 paper: PMIDs 42166539
- atrasentan (Therapy) — 1 paper: PMIDs 42242268
- biparatopic antibody (Therapy) — 1 paper: PMIDs 42178617
- CA4 (Therapy) — 1 paper: PMIDs 42138023
- carboplatin (Therapy) — 1 paper: PMIDs 42166539
Observed Outcomes & Phenotypes
The phenotypic changes, physiological endpoints, or clinical metrics observed and measured in connection with serum egfr include:
- Kip (Clinical Metric) — 2 papers: PMIDs 42207930, 41839309
- tumor growth inhibition (Clinical Metric) — 2 papers: PMIDs 42207930, 41930545
- 24-h proteinuria (Clinical Metric) — 1 paper: PMIDs 42242268
- active human doses (Clinical Metric) — 1 paper: PMIDs 41622600
- ADMET profiles (Other) — 1 paper: PMIDs 42200498
- apoptotic markers (Clinical Metric) — 1 paper: PMIDs 42200498
- Bcl-2 proteins (Protein) — 1 paper: PMIDs 42200498
- biocompatibility (Other) — 1 paper: PMIDs 42166539
- blood–brain barrier (Biological Process) — 1 paper: PMIDs 41839309
- bone metastasis progression (Clinical Metric) — 1 paper: PMIDs 42203350
- calcium-independent signaling mechanism (Biological Process) — 1 paper: PMIDs 41839309
- caspase-3 (Protein) — 1 paper: PMIDs 42200498
General Takeaways & Clinical Potentials
The high-level concepts, clinical translations, and overarching conclusions proposed in the research surrounding serum egfr are summarized below:
- anti-cancer agent (Therapy) — 1 paper: PMIDs 41930545
- clinical diagnosis and intervention (Other) — 1 paper: PMIDs 42201343
- dNTP metabolism (Biological Process) — 1 paper: PMIDs 41941751
- Dose Regimen Changes (Other) — 1 paper: PMIDs 42166539
- dual EGFR/CDK-2 inhibitors (Therapy) — 1 paper: PMIDs 42200498
- EGFR signaling pathways (Pathway) — 1 paper: PMIDs 41839309
- EGFR-MYBL2-RRM2 and CHK2-TNNT3-RRM2B regulatory axis (Pathway) — 1 paper: PMIDs 41941751
- higher-complexity tumors (Other) — 1 paper: PMIDs 42201407
- hypoxic-microenvironment-responsive therapeutic strategy (Therapy) — 1 paper: PMIDs 42213229
- irreversible inhibitors (Therapy) — 1 paper: PMIDs 41622600
- kidney disease (Disease) — 1 paper: PMIDs 42201576
- long-term renal function preservation (Biological Process) — 1 paper: PMIDs 42201407