Diabetes area participation analysis: a review of companies and targets described in the 2008 – 2010 patent literature
Bibliographic record
Abstract
IMPORTANCE OF THE FIELD: Type 2 diabetes is a chronic disease characterized by the development of insulin resistance, impaired pancreatic β-cell function and, ultimately, hyperglycemia. The disease is highly associated with obesity and it is thought that the inappropriate deposition of lipid in tissues such as liver and muscle contributes to a reduction in insulin sensitivity which, in turn, places a burden on the β-cell to secrete more insulin to achieve normoglycemia. Over an extended period of time, this can result in β-cell failure and diminished glycemic control. When poorly managed, type 2 diabetes increases the risk of developing both microvascular and macrovascular complications, including retinopathy, nephropathy and coronary artery disease. The number of Americans with diabetes has approached 24 million in 2007 and the prevalence of the disease is projected to increase with the sedentary lifestyles and high caloric diets that are common today. First-line treatment for the disease involves lifestyle modifications and, if unsuccessful, pharmacotherapy to control symptoms. Anti-diabetic drugs belonging to several mechanistic classes are available (e.g., insulin secretagogues, insulin sensitizers, insulin mimetics and DPP IV inhibitors); however, many of these drugs lose their effectiveness over time, are not well-tolerated in some patients or may have suboptimal risk:benefit ratios. The search for new anti-diabetic drugs has continued to attract considerable interest from both academia and the pharmaceutical industry. AREAS COVERED IN THIS REVIEW: An analysis of 2008 - 2010 patent applications claiming diabetes as an indication has been undertaken. WHAT THE READER WILL GAIN: An understanding of: i) the pharmaceutical companies that have filed patent applications in the anti-diabetes area during 2008 - 2010; ii) the different pharmacological targets under investigation and the patent activity around such targets; iii) some of the targets in the research portfolios of selected companies; iv) chemical structures of compounds that modulate emerging targets and v) the pharmacological rationale underlying several targets with the largest patent counts. TAKE HOME MESSAGE: Type 2 diabetes is a complex disease with many potential points of intervention for pharmacotherapy. A majority of anti-diabetic patent applications claim chemical matter for just eight targets which include five enzymes, a GPCR, a family of nuclear hormone receptors and a class of sodium-dependent glucose co-transporters (11β-HSD1, DGAT1, DPP IV, glucokinase, GPR119, PPAR-α, -δ, -γ, SGLT1 and SGLT2, and stearoyl-CoA desaturase 1 (SCD1)). The major pharmaceutical companies are all pursuing some combination of these top eight targets. Several companies stand out for the breadth of new targets under investigation (e.g., F. Hoffmann-La Roche, Merck & Co., Pfizer, Takeda Pharmaceuticals, Sanofi-Aventis).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".