What is Investigational New Drug ?

2612 reads · Last updated: December 5, 2024

An Investigational New Drug (IND) is a drug that has not yet received market approval and is being evaluated for safety and efficacy in humans. INDs are typically developed by pharmaceutical companies or research institutions and must receive approval from relevant regulatory authorities (such as the U.S. Food and Drug Administration, FDA) before proceeding with clinical trials.Key characteristics include:Development Stage: INDs are in the preclinical or clinical trial stages of drug development and have not yet received market approval.Clinical Trials: INDs are used to conduct human clinical trials to assess their therapeutic effects, safety, and dosage range.Regulatory Approval: An IND application must be submitted and approved by regulatory authorities before clinical trials can begin.Data Collection: Data collected during clinical trials are used to support future New Drug Application (NDA) submissions.Example of Investigational New Drug application:Suppose a pharmaceutical company develops a new anti-cancer drug that has shown promising results in animal studies. The company submits an IND application to the FDA, including the drug's chemical composition, manufacturing process, animal study data, and planned clinical trial protocol. After FDA review and approval, the company begins human clinical trials to evaluate the drug's safety and efficacy.

Definition

An Investigational New Drug (IND) refers to a drug that has not yet received market approval and is used to evaluate its safety and efficacy in humans. INDs are typically developed by pharmaceutical companies or research institutions and must receive approval from relevant regulatory bodies (such as the U.S. Food and Drug Administration, FDA) before clinical trials can begin.

Origin

The concept of Investigational New Drugs originated from the need for rigorous drug development processes, particularly in the mid-20th century, as drug development became more complex. The legal framework for INDs was formally established by the FDA with the Drug Amendments of 1962.

Categories and Features

INDs are primarily categorized into the following stages:
1. Preclinical Stage: At this stage, the drug is tested in laboratories and on animals to assess its basic safety and biological activity.
2. Clinical Trial Stage: This includes Phase I, II, and III trials, which evaluate the drug's safety, efficacy, and optimal dosage.
Features include:
Development Stage: INDs are in the preclinical or clinical trial stages of drug development and have not yet received market approval.
Clinical Trials: INDs are used in human clinical trials to assess therapeutic effects, safety, and dosage range.
Regulatory Approval: An IND application must be submitted and approved by regulatory bodies before clinical trials can commence.
Data Collection: Data collected during clinical trials support future New Drug Applications (NDA).

Case Studies

Case Study 1: A pharmaceutical company developed a new cancer drug that showed promising results in animal studies. The company submitted an IND application to the FDA, including the drug's chemical composition, manufacturing process, animal study data, and planned clinical trial protocol. After FDA approval, the company began human clinical trials to evaluate the drug's safety and efficacy.
Case Study 2: Another biotech company developed a new drug for a rare genetic disorder. After initial laboratory research, the company submitted an IND application and, upon approval, began Phase I clinical trials in a small patient group to determine a safe dosage.

Common Issues

Common issues include:
1. What are the reasons for an IND application being rejected? Typically due to insufficient data, unreasonable trial design, or safety concerns.
2. What is the difference between IND and NDA? IND is for the clinical trial phase application, while NDA is for drug marketing approval.

Suggested for You

Refresh
buzzwords icon
Registered Representative
A registered representative (RR) is a person who works for a client-facing financial firm such as a brokerage company and serves as a representative for clients who are trading investment products and securities. Registered representatives may be employed as brokers, financial advisors, or portfolio managers.Registered representatives must pass licensing tests and are regulated by the Financial Industry Regulatory Authority (FINRA) and the Securities and Exchange Commission (SEC). RRs must furthermore adhere to the suitability standard. An investment must meet the suitability requirements outlined in FINRA Rule 2111 prior to being recommended by a firm to an investor. The following question must be answered affirmatively: "Is this investment appropriate for my client?"

Registered Representative

A registered representative (RR) is a person who works for a client-facing financial firm such as a brokerage company and serves as a representative for clients who are trading investment products and securities. Registered representatives may be employed as brokers, financial advisors, or portfolio managers.Registered representatives must pass licensing tests and are regulated by the Financial Industry Regulatory Authority (FINRA) and the Securities and Exchange Commission (SEC). RRs must furthermore adhere to the suitability standard. An investment must meet the suitability requirements outlined in FINRA Rule 2111 prior to being recommended by a firm to an investor. The following question must be answered affirmatively: "Is this investment appropriate for my client?"

buzzwords icon
Confidence Interval
A confidence interval, in statistics, refers to the probability that a population parameter will fall between a set of values for a certain proportion of times. Analysts often use confidence intervals that contain either 95% or 99% of expected observations. Thus, if a point estimate is generated from a statistical model of 10.00 with a 95% confidence interval of 9.50 - 10.50, it can be inferred that there is a 95% probability that the true value falls within that range.Statisticians and other analysts use confidence intervals to understand the statistical significance of their estimations, inferences, or predictions. If a confidence interval contains the value of zero (or some other null hypothesis), then one cannot satisfactorily claim that a result from data generated by testing or experimentation is to be attributable to a specific cause rather than chance.

Confidence Interval

A confidence interval, in statistics, refers to the probability that a population parameter will fall between a set of values for a certain proportion of times. Analysts often use confidence intervals that contain either 95% or 99% of expected observations. Thus, if a point estimate is generated from a statistical model of 10.00 with a 95% confidence interval of 9.50 - 10.50, it can be inferred that there is a 95% probability that the true value falls within that range.Statisticians and other analysts use confidence intervals to understand the statistical significance of their estimations, inferences, or predictions. If a confidence interval contains the value of zero (or some other null hypothesis), then one cannot satisfactorily claim that a result from data generated by testing or experimentation is to be attributable to a specific cause rather than chance.