Biomed Chem Lecture 1

Course Description

  • BNUR 2015: A branch of biomedical and laboratory medicine.

  • Focus on:

    • Structure of molecules and macromolecules

    • Various chemical processes and metabolic pathways within the body

    • Systemic approach of lab diagnostics

  • Emphasizes:

    • Function tests of body systems in health and disease

    • Normal and abnormal biochemical lab findings

    • Interpretation of clinical and laboratory data

    • Role of laboratory in disease diagnosis

Lecture Outline

Introduction to Biomedical Chemistry and Laboratory Diagnostics

  • Role of Laboratory Medicine in Patient Care

  • Sample Types and Quality Assurance

  • Normal Ranges/Variations

  • Assessment of the Appropriateness of Test Results

Topics Covered

  1. Organic Substrates: Proteins, Carbohydrates (CHO), Lipids, Nucleic Acid

  2. Metabolic Pathways & Metabolic Regulation

Introduction to Laboratory Medicine

Patient Care Cycle Steps

  1. Self-assessment of state of health

  2. Interview & examination

  3. Objective data collection

  4. Role of the laboratory

  5. Decision tree

  6. Therapy & evaluation

Important Considerations

  • Scope of Lab Services

  • Goals of Lab Tests

  • Types of Samples

  • Quality Assurance

  • Strategies to Assess the Appropriateness of Test Results

    • Accuracy & Precision

    • Reference Ranges, Critical Values, Variations

    • Sensitivity and Specificity of Tests

    • Right Test, Right Patient, Appropriate Time, Accurate Test Result

Scope of Lab Services

Subspecialties of Laboratory Medicine

  • Hematology & Blood Banking

  • Microbiology

  • Cytology, Histology, & Histopathology

  • Clinical Chemistry: e.g., Endocrinology, Immunology

Purpose of Study

  • Early detection & diagnosis of disease

  • Monitoring & evaluation of treatment

  • Research studies

Goals for Laboratory Tests

Types of Laboratory Tests

  • Diagnostic/follow-up tests

  • Screening tests

  • Point of care tests

Examples of Population-Disease-Lab Tests

  • Neonates: Hypothyroidism, measured by Serum TSH

  • Adolescents: Substance abuse, assessed via Drug screen

  • Pregnancy: Gestational diabetes, evaluated through Plasma glucose

  • Industry: Lead exposure, monitored via Blood lead

  • Elderly: Malnutrition, checked using Serum vitamin D

Types of Samples

  • Blood

    • Whole, plasma, or serum

  • Urine

  • Feces

  • Cerebrospinal fluid (CSF)

  • Renal stones

  • Semen

  • Others (with anticoagulants)

Data and Laboratory Management

  • Important Components

    • Safety

    • Customer Service

    • Patient Preparation

    • Sample Collection

    • Sample Handling

    • Sample Transport

    • Quality Control

    • Record Keeping

    • Reporting

    • Personnel Competency Testing

    • Quality Assurance Cycle

Accuracy & Precision

Definitions

  • Accuracy: Closeness of measurements to the true value. Determined by:

    • Comparing to a reference method

    • Comparing test results between laboratories

  • Precision: Degree of fluctuation in measurements; determined by:

    • Internal Quality Control (QC)

    • Use of the same control over a specific time period

Physiological & Analytical Variation

Types of Variation

  • Inter-individual Variation: Differences among individuals influenced by age, sex, race, etc.

  • Intra-individual Variation: Variations within the same individual due to diurnal cycles, diet, and social factors.

  • Reference Interval (RI): Normal variations of a value established statistically.

    • E.g., Sex differences for specific tests like CK, cholesterol, and thyroxine.

Mean, SD & CV

Statistical Definitions

  • Mean (M): Average value of a dataset, calculated as
    Mean=sum of valuesnumber of variants (n)Mean = \frac{\text{sum of values}}{\text{number of variants (n)}}

  • Standard Deviation (SD): A measure of data dispersion relative to the mean.

  • Standard Error of the Mean (SEM): SEM=SDnSEM = \frac{SD}{\sqrt{n}}

  • Coefficient of Variation (CV): The ratio of SD to the mean, expressed as a percentage; ideally < 5%.
    CV=SDMean×100CV = \frac{SD}{Mean} \times 100

True & False Results

Test Classifications

  • True Positive (TP): Correctly identifies a diseased patient.

  • True Negative (TN): Correctly identifies a healthy individual.

  • False Positive (FP): Incorrectly identifies a healthy individual as diseased.

  • False Negative (FN): Incorrectly identifies a diseased individual as healthy.

Statistical Result Table

Actual Situation

Disease

No Disease

Statistical Result

Disease

TP


No Disease

FN

Predictive Values

Definitions

  • Positive Predictive Value (PPV): Percentage of positive test results indicating presence of disease.
    PPV=TPTP+FP×100PPV = \frac{TP}{TP + FP} \times 100

  • Negative Predictive Value (NPV): Percentage of negative test results indicating absence of disease.
    NPV=TNTN+FN×100NPV = \frac{TN}{TN + FN} \times 100

  • Sensitivity: Percentage of diseased individuals with a positive test result.
    Sensitivity=TPTP+FN×100Sensitivity = \frac{TP}{TP + FN} \times 100

  • Specificity: Percentage of healthy individuals with a negative test result.
    Specificity=TNTN+FP×100Specificity = \frac{TN}{TN + FP} \times 100

Critical Values

Definition

  • Critical values used to guide quick clinical decisions.

Blood Glucose Critical Values

  • Reference Interval: 70-110 mg/dL (3.8-6.1 mmol/L)

    • Critical Hypoglycemia: <40 mg/dL (2.2 mmol/L)

    • Critical Hyperglycemia: >450 mg/dL (25 mmol/L)

  • Serum Calcium Critical Values:

    • Level 1: 2.10–2.62 mmol/L

    • Level 2: <1.75 mmol/L (Hypocalcemic tetany)

    • Level 3: >2.75 mmol/L (Primary hyperparathyroidism)

    • Level 4: >3.37 mmol/L (Hypercalcemic coma)

Incidence & Prevalence

Definitions

  • Incidence: Number of new cases in a population within a specified time frame (e.g., per year).

  • Prevalence: Total number of cases present in a population at a specific point in time.

Organic Substrates

Proteins

  • Most abundant organic molecules (>15% of cellular structure)

  • Body synthesizes 100,000 to 140,000 types of proteins

    • Each has different structure and function

  • Composed of elements: Carbon (C), Oxygen (O), Hydrogen (H), Nitrogen (N), and Sulfur (S).

  • Structural Units: Amino Acids (AA)

Functions of Proteins

  • Structure: E.g., Collagen (included in hair and nails).

  • Transport: E.g., Hemoglobin transports oxygen.

  • Storage: E.g., Myoglobin stores oxygen.

  • Signal Transduction: E.g., Receptors transmit signals.

  • Hormones: E.g., Insulin regulates blood sugar levels.

  • Catalysis: Enzymes facilitate biochemical reactions.

Amino Acids (AA)

  • Essential Amino Acids: Nine essential AA must be sourced through the diet.

  • Each AA has:

    • An amino group (NH2), a carboxyl group (COOH) and a variable R group.

    • Two ends: N-terminal and C-terminal.

    • Charges can be positive (basic), negative (acidic) or neutral.

Structural Levels of Proteins

  1. Primary Structure: Sequence of amino acids.

  2. Secondary Structure: A-helix or B-sheet formations.

  3. Tertiary Structure: Overall 3-D shape of the protein.

  4. Quaternary Structure: Complex of multiple polypeptides.

Denaturation of Proteins

  • Loss of the normal 3D structure, rendering them biologically inactive.

  • Can be physiological (e.g., as part of metabolic processes) or pathological (caused by heat, shear forces, chemicals).

Carbohydrates

Types of Carbohydrates

  • Monosaccharides:

    • Pentose sugars (5C) are part of RNA & DNA (e.g., ribose).

    • Hexose sugars (6C) are energy sources (e.g., glucose, fructose, galactose).

  • Disaccharides: Formed from two linked monosaccharides (e.g., sucrose, lactose).

  • Polysaccharides: Long chains of monosaccharides, e.g., cellulose and glycogen, serving as energy sources.

Carbohydrate Structure

  • Composed of C, H, O with a 1:2:1 ratio.

  • Examples include structural formulas for glucose, fructose, and galactose.

Lipids

Types of Lipids

  • Fatty Acids (FA): Can be saturated or unsaturated.

  • Glycerides:

    • Monoglycerides, diglycerides, triglycerides.

  • Nonglycerides: Phospholipids and sterols.

  • Combinations: Glycolipids and lipoproteins.

Lipid Characteristics

  • Hydrocarbon-containing compounds, hydrophobic.

  • Essential for cell structure and function, extracted using organic solvents.

Fatty Acids

  • Precursor components of lipids.

  • Long chains of carbon atoms with COOH group.

    • Saturated (single bonds)

    • Unsaturated (one or more double bonds, can be cis or trans).

Glycerides

  • Composed of glycerol and fatty acids bonded through ester bonds.

Phospholipids

  • Form cell membranes, consisting of glycerol, two fatty acids, and a phosphate group; contains a hydrophilic head and hydrophobic tail.

Nucleic Acids

Types

  • Deoxyribonucleic Acid (DNA): Carries genetic information, found in nucleus and mitochondria.

  • Ribonucleic Acid (RNA): Involved in protein synthesis; includes mRNA, tRNA, and rRNA.

Structure of DNA

  • Composed of nucleotides, with deoxyribose sugar, phosphate group, and nitrogen bases (A, T, C, G).

  • Forms the base-pairing rule (A-T, C-G).

  • Antiparallel double-helix structure.

Genetic Code

  • Represents chemical language for DNA instructions using base sequences, forming a triplet code where three bases equal one amino acid.

Metabolic Pathways & Regulation

Metabolism

  • Refers to all biochemical reactions in an organism.

  • Anabolism: Building molecules, requiring energy.

  • Catabolism: Breaking down molecules, producing energy.

Cellular Metabolic Processes

  • ATP Generation and utilization, energy balance, and the roles of macromolecules.

    • Specific metabolic pathways (e.g., glycolysis, TCA cycle) occur in distinct cellular compartments.

Metabolic Pathway Relationships

  • Interconnected systems whereby substrates convert into products; includes glycolysis, gluconeogenesis, fat metabolism, etc.