Insulin Resistance – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022 To 2032

Insulin Resistance Market Outlook and Forecast

Insulin Resistance – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022 To 2032

Published Date : 2022-08-05

Updated On : 2023-07-06

Pages : 153

Insulin Resistance Market Outlook

Thelansis’s “Insulin Resistance Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022 To 2032" covers disease overview, epidemiology, drug utilization, prescription share analysis, competitive landscape, clinical practice, regulatory landscape, patient share, market uptake, market forecast, and key market insights under the potential Insulin Resistance treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).

Insulin Resistance Overview

Insulin resistance is when the body exhibits an insufficient biological response to normal insulin levels. In essence, it can affect various insulin-related functions in different bodily tissues. However, in clinical practice, insulin resistance is commonly understood as a state in which a given amount of insulin results in an inadequate glucose response. The origins of insulin resistance can be attributed to genetic and acquired factors. Genetic factors include mutations in insulin receptors, glucose transporters, and signaling proteins, although the precise causes of common forms remain largely unknown. Acquired factors encompass physical inactivity, dietary habits, medications, high blood sugar levels (known as glucose toxicity), elevated levels of free fatty acids, and the natural aging process. The underlying causes of insulin resistance can be classified based on whether their primary impact occurs before, at, or after the insulin receptor. Pre-receptor causes include abnormal insulin (due to mutations) and anti-insulin antibodies. Receptor-related causes include reduced receptors, failure to activate tyrosine kinase, diminished insulin binding, insulin receptor mutations, and antibodies that block insulin receptors. Post-receptor causes encompass defective signal transduction and, in theory, mutations in the GLUT4 gene, although these mutations are rare. Symptoms of insulin resistance encompass increased thirst, frequent urination, heightened appetite, blurred vision, headaches, vaginal and skin infections, and slow wound healing. Factors associated with a higher likelihood of developing insulin resistance include a strong family history of diabetes, gestational diabetes, and polycystic ovary syndrome. Impaired glucose metabolism, defined as fasting glucose levels between 110 and 125 mg per dL (6.1 and 7.1 mmol per L) or impaired glucose tolerance with a two-hour post–75-g glucose load level between 140 and 199 mg per dL (7.8 and 11.1 mmol per L), also contribute to this condition. Additionally, obesity, defined as a body mass index of 30 kg per m2 or higher, and an increased waist-to-hip ratio (1.0 in men and 0.8 in women) are associated with insulin resistance.

  • Globally, the prevalence of insulin resistance among adults varies, ranging from 15.5% to 46.5%. The lowest prevalence is observed among underweight individuals (7.1%), while the highest rates are found among those who are obese (45%).

Geography Covered:

North America- the United States and Canada

Europe- EU5 (Germany, France, Italy, Spain, and the United Kingdom)

Other countries- Japan & China

Study Period: 2022-2032

Current Clinical Practice and Treatment Algorithm

This section of the study covers country-specific current clinical practice, the standard of care, and significant limitations around addressing the unmet needs. Retrospective analysis and bench-marking of clinical study outcomes are presented in terms of Pre-treatment & post-treatment clinical and demographic patient characteristics. Essentially, this section will cover the evolution of the current competitive landscape and its impact on the future treatment paradigm.

KOL Insights:

KOLs across 8 MM markets from the center of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs

Market Forecast: Patient Based Forecast Model (MS. Excel Based Automated Dashboard)

- Data Inputs with sourcing

- Market Event and Product Event

- Country-specific Forecast Model

- Market uptake and patient share uptake

- Attribute Analysis

- Analog Analysis

- Disease burden and pricing scenario

- Summary and Insights

NPV/ IRR Calculator-

Optimization of cash flow/ revenue flow concerning all fixed and variable investments throughout the product development process. The rate of return on an investment is a critical indicator to ensure the profitability and break-even of the project.

Competitive Landscape:

The competitive landscape includes country-specific approved as well as pipeline therapies. Any asset/product-specific designation or review such as Orphan drug designation, Fast track, Priority Review, Breakthrough Therapy Designation, Rare Pediatric Disease Designation, and Accelerated Approval are tracked and supplemented with analyst commentary.

Clinical Trial Assessment-

Detailed clinical trial data analysis and critical product positioning include trial design, primary outcomes, secondary outcomes, dosing and schedules, inclusion and exclusion criteria, recruitment status and essentially covers the reported adverse events. Majorly the trial analysis helps determine the potential of the critical assets and their probable filing and launch date.

Unmet Medical Needs Overview-

This report presents the most important clinical unmet needs in the treatment, according to Thelansis research and analysis. Other essential unmet needs identified through our study include decreased cost burden on patients, improved administration convenience, and improved patient compliance.

Visit our social media pages:
Linkedin Mini logo Thelansis Twitter Mini logoThelansis Facebook Mini logo

Insulin Resistance Competitive Landscape

S. no Asset Company Stage
1 Empagliflozin Boehringer Ingelheim Phase 3
2 TLC-3595 OrsoBio, Inc Phase 2
3 PD solution containing glucose and L-carnitine Iperboreal Pharma Srl Phase 2
4 DLBS3233 Dexa Medica Group Phase 3
5 Plant extract (BSL_EP044) and Lactobacillus BSL_PS6 Biosearch S.A. Phase 2
6 U-500 Eli Lilly and Company Phase 2
7 Testosterone gel Solvay Pharmaceuticals Phase 2
8 Metformin Merck Serono International SA Phase 2

KOLs across 8 MM market from the center of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs.

COUNTRY No. Of KOLs
USA 17
GERMANY 4
UK 4
SPAIN 3
FRANCE 2
ITALY 3
JAPAN 3
CHINA 4

Insulin Resistance Market Forecast: Patient Based Forecast Model (MS. Excel Based Automated Dashboard)

Data Inputs with sourcing, Market Event, Product Event, Country specific Forecast Model, Market uptake and patient share uptake, Attribute Analysis, Analog Analysis, Disease burden, and pricing scenario, Summary, and Insights.

Insulin Resistance Market Forecast

 

1.  Insulin Resistance – Key Findings Summary

         1.1.    Clinical findings
                     1.1.1. Disease overview
                     1.1.2. Therapeutic practices
                     1.1.3. Future outlook
         1.2.    Commercial findings
                     1.2.1. Insulin Resistance market scenario 2022
                     1.2.2. Insulin Resistance market scenario 2025
                     1.2.3. Insulin Resistance market scenario 2032

2. Insulin Resistance Overview

         2.1.    Disease Introduction
         2.2.    Pathophysiology
         2.3.    Signs and Symptoms
         2.4.    Risk Factors
         2.5.    Etiology
         2.6.    Classification
         2.7.    Pathogenesis
         2.8.    Diagnosis
         2.9.    Complications
         2.10. Treatment Algorithm
                     2.10.1.    Treatment in US (guidelines)
                     2.10.2.    Treatment in EU-5 (guidelines)
                     2.10.3.    Treatment in Japan (guidelines)
                     2.10.4.    Treatment in China (guidelines)
         2.11. Treatment Goals for Insulin Resistance
         2.12. Referral Patterns
                     2.12.1.    Referral Scenario in US
                     2.12.2.    Referral Scenario in EU-5
                     2.12.3.    Referral Scenario in Japan
                     2.12.4.    Referral Scenario in China
         2.13. Insulin Resistance Prognosis
         2.14. Healthcare burden
                     2.14.1.    Healthcare burden in US
                     2.14.2.    Healthcare burden in EU-5
                     2.14.3.    Healthcare burden in Japan
                     2.14.4.    Healthcare burden in China
         2.15.  Unmet Needs in Insulin Resistance management
         2.16.  Market Opportunity for Insulin Resistance
         2.17. KOL Comments on current and upcoming/expected treatment practices in Insulin Resistance

3.       Epidemiology

         3.1.    Epidemiology Overview
         3.2.    Epidemiology by Geography
                     3.2.1. Insulin Resistance Epidemiology in US (2022-2032)
                             3.2.1.1.              Incidence of Insulin Resistance
                             3.2.1.2.              Diagnosed cases
                             3.2.1.3.              Treatable Patient Pool
                             3.2.1.4.              Epidemiology Trends
                     3.2.2. Insulin Resistance Epidemiology in EU-5 (2022-2032)
                             3.2.2.1.              Incidence of Insulin Resistance
                             3.2.2.2.              Diagnosed cases
                             3.2.2.3.              Treatable Patient Pool
                             3.2.2.4.              Epidemiology Trends
                     3.2.3. Insulin Resistance Epidemiology in Japan (2022-2032)
                             3.2.3.1.              Incidence of Insulin Resistance
                             3.2.3.2.              Diagnosed cases
                             3.2.3.3.              Treatable Patient Pool
                             3.2.3.4.              Epidemiology Trends
                     3.2.4. Insulin Resistance Epidemiology in China (2022-2032)
                             3.2.4.1.              Incidence of Insulin Resistance
                             3.2.4.2.              Diagnosed cases
                             3.2.4.3.              Treatable Patient Pool
                             3.2.4.4.              Epidemiology Trends
         3.3.    Epidemiology Trends (World-wide)

4.       Market Outlook

         4.1.    US Insulin Resistance Market Forecast 2022-2032
                     4.1.1. Market Progression (Futuristic)
                     4.1.2. Market Trends and Expectations
                             4.1.2.1.              Worst case scenario
                             4.1.2.2.              Base Case Scenario
                             4.1.2.3.              Best Case Scenario
                     4.1.3. Drivers and Barriers
         4.2.    UK Insulin Resistance Market Forecast 2022-2032
                     4.2.1. Market Progression (Futuristic)
                     4.2.2. Market Trends and Expectations
                             4.2.2.1.              Worst case scenario
                             4.2.2.2.              Base Case Scenario
                             4.2.2.3.              Best Case Scenario
                     4.2.3. Drivers and Barriers
         4.3.    France Insulin Resistance Market Forecast 2022-2032
                     4.3.1. Market Progression (Futuristic)
                     4.3.2. Market Trends and Expectations
                             4.3.2.1.              Worst case scenario
                             4.3.2.2.              Base Case Scenario
                             4.3.2.3.              Best Case Scenario
                     4.3.3. Drivers and Barriers
         4.4.    Germany Insulin Resistance Market Forecast 2022-2032
                     4.4.1. Market Progression (Futuristic)
                     4.4.2. Market Trends and Expectations
                             4.4.2.1.              Worst case scenario
                             4.4.2.2.              Base Case Scenario
                             4.4.2.3.              Best Case Scenario
                     4.4.3. Drivers and Barriers
         4.5.    Italy Insulin Resistance Market Forecast 2022-2032
                     4.5.1. Market Progression (Futuristic)
                     4.5.2. Market Trends and Expectations
                             4.5.2.1.              Worst case scenario
                             4.5.2.2.              Base Case Scenario
                             4.5.2.3.              Best Case Scenario
                     4.5.3. Drivers and Barriers
         4.6.    Spain Insulin Resistance Market Forecast 2022-2032
                     4.6.1. Market Progression (Futuristic)
                     4.6.2. Market Trends and Expectations
                             4.6.2.1.              Worst case scenario
                             4.6.2.2.              Base Case Scenario
                             4.6.2.3.              Best Case Scenario
                     4.6.3. Drivers and Barriers
         4.7.    Japan Insulin Resistance Market Forecast 2022-2032
                     4.7.1. Market Progression (Futuristic)
                     4.7.2. Market Trends and Expectations
                             4.7.2.1.              Worst case scenario
                             4.7.2.2.              Base Case Scenario
                             4.7.2.3.              Best Case Scenario
                     4.7.3. Drivers and Barriers
         4.8.    China Insulin Resistance Market Forecast 2022-2032
                     4.8.1. Market Progression (Futuristic)
                     4.8.2. Market Trends and Expectations
                             4.8.2.1.              Worst case scenario
                             4.8.2.2.              Base Case Scenario
                             4.8.2.3.              Best Case Scenario
                     4.8.3. Drivers and Barriers
         4.9.    Key Expected Milestones (world-wide) Impacting the Market

5.       Competitive Landscape

         5.1.    Pipeline Therapies Overview
                     5.1.1. Phase III Therapies
                                      5.1.1.1.                     Current Status
                                      5.1.1.2.                     Trial details, results
                                      5.1.1.3.                     Approval Timeline
                                      5.1.1.4.                     Likelihood of approval
                                      5.1.1.5.                     Expected Product Positioning
                             5.1.1.2.              All other Phase III Therapies …..
                             5.1.1.3.              Attribute Analysis of Phase III molecules
                     5.1.2.  Phase II and Phase I/II Therapies
                                      5.1.2.1.                     Current Status
                                      5.1.2.2.                     Trial details, results
                                      5.1.2.3.                     Approval Timelines
                     5.1.3. List of active Pre-clinical Therapies
                                      5.1.3.1.                     Status in Insulin Resistance
                                      5.1.3.2.                     Company positioning
                             5.1.3.2.              All other pre-clinical therapies
                     5.1.4. List of Inactive/discontinued assets
                             5.1.4.1.              Business impact of discontinuations on current pipeline
                     5.1.5. Potential winners from Insulin Resistance Pipeline
                             5.1.5.1.              Potential Blockbusters across the pipeline

6.       Regulatory/Approval Scenario

         6.1.    Regulatory/Approval Framework in US
                     6.1.1. Policy Framework
                     6.1.2. Payer Expectations
         6.2.    Regulatory/Approval Framework in UK
                     6.2.1. Policy Framework
                     6.2.2. Payer Expectations
         6.3.    Regulatory/Approval Framework in France
                     6.3.1. Policy Framework
                     6.3.2. Payer Expectations
         6.4.    Regulatory/Approval Framework in Germany
                     6.4.1. Policy Framework
                     6.4.2. Payer Expectations
         6.5.    Regulatory/Approval Framework in Italy
                     6.5.1. Policy Framework
                     6.5.2. Payer Expectations
         6.6.    Regulatory/Approval Framework in Spain
                     6.6.1. Policy Framework
                     6.6.2. Payer Expectations
         6.7.       Regulatory/Approval Framework in Japan
                     6.7.1. Policy Framework
                     6.7.2. Payer Expectations
         6.8.       Regulatory/Approval Framework in China
                     6.8.1. Policy Framework
                     6.8.2. Payer Expectations

7.       Clinical Trial Assessment – Current and Future Paradigm

         7.1.    Distribution of Primary Endpoints across trials
         7.2.    Distribution of Secondary Endpoints across trials
         7.3.    Evolution and acceptance of surrogate endpoints
         7.4.    Key Investigator initiated trials
         7.5.    Attrition analysis
                     7.5.1. Suspended/Discontinued Assets
                     7.5.2. Failed Trials, Reasons and Business Impact
                     7.5.3. Terminated Trials, Reasons and Business Impact
                     7.5.4. Withdrawn Trials, Reasons and Business Impact
         7.6.    Trial enrollment scenario and challenges
         7.7.    Clinical Trial Guidance (across geographies)

8.       Thelansis Commentary

         8.1.    Key Unmet needs in Insulin Resistance
         8.2.    Possible Best-case Clinical Trial Strategies
         8.3.    Possible Best Case Targeted Product Profile (TPP)
         8.4.    Possible Best-case Market positioning strategies
         8.5.    Possible Best-case Market Access Strategies
         8.6.    Possible Best-case LCM Strategies
         8.7.    Overall View on Insulin Resistance Market in Dollar Value

9.       Report Methodology

         9.1.    Secondary research
         9.2.    Primary research
         9.3.    Data collation
         9.4.    Insight Generation

10.   About Thelansis

         10.1.    Our Capabilities
         10.2.    Our Services
         10.3.    Our Contacts
         10.4.    Disclaimer