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36 BASIC SKILLS IN INTERPRETING LABORATORY DATA
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within each chamber communicate through a small aperture (100 µm) or sensing zone. When a nonconductive particle or cell passes through the aperture, it displaces an equivalent volume of conductive uid. is increases the conductance and creates a voltage pulse for each cell counted, the intensity of which is proportional to the cell volume.
14
In hematology analyzers, blood is separated into two sam­ples for measurement. One volume is mixed with a diluent and delivered to a chamber where platelet and erythrocyte counts are performed. Particles with volumes between 2 and 20 fem­toliter (fL) are counted as platelets, and particles with volumes >36 fL are counted as erythrocytes. e other volume is mixed with a diluent, and an erythrocyte lysing reagent is used to per­mit leukocyte (>36 fL) counts to be performed. e number of cells in this size range may be subtracted from the erythrocyte count performed in the other chamber.
Modern hematology analyzers employ additional technolo­gies to enhance the resolution of blood cell analysis. e RF energy is used to assess important information about the inter­nal structure of cells such as nuclear volume. Laser light scatter is used to obtain information about cell shape and granularity. e combination of these and other technologies— such as light absorbance for hemoglobin measurements— provide accurate blood cell dierentials, counts, and other important blood cell indices. ese basic principles are common to many hematol­ogy analyzers used in clinical laboratories. However, each uses dierent proprietary detection, measurement and soware sys­tems, and ways of displaying the data.
Flow cytometers incorporate the principles of uorometry and light scatter to the analysis of particles or cells that pass within a uid stream. is technology provides multiparamet­ric measurements of intrinsic and extrinsic properties of cells. Intrinsic properties, including cell size and cytoplasmic com­plexity, are properties that can be assessed directly by light scat­ter and do not require the use of any type of probe. Extrinsic cellular properties, such as cell surface or cytoplasmic antigens, enzymes or other proteins, and DNA/RNA, require the use of a uorescent dye or probe to label the components of interest and a laser to induce the uorescence (older systems used mercury arc lamps as a light source) to be detected.
e basic ow cytometer consists of four types of compo­nents: uidics, optics, electronics, and data analysis. Fluidics refers to the apparatus that directs the cells in suspension to the ow cell where they will be interrogated by the laser light. Fluidics systems use a combination of air pressure and vacuum to create the conditions that allow the cells to pass through the ow chamber in single le. e optical components include the laser (or other light source), ow chamber, monochromatic l­ters, dichroic mirrors, and lenses. ese are used to direct the scattered or uorescent light to detectors, which measure the signals that are subsequently analyzed.
35
e light scattered by the cell when it reaches the ow cham­ber is used to measure its intrinsic properties. Forward- scattered light (FSC) is detected by a diode and reects the size of the passing cell. Side- scattered light (SSC) is detected by a photo- multiplier tube at an angle approximately 90 degrees to the laser beam. e SSC is a function of the cytoplasmic complexity of
the cell, including the granularity of the cell. e correlated mea­surements and analysis of FSC and SSC can allow for dieren­tiation among cell types (ie, leukocytes) and can be depicted on a scattergram.
e analysis of extrinsic properties is more complicated. e measurement of DNA or RNA, for example, requires the use of intercalating nucleic acid dyes such as propidium iodide. e detection of antigenic determinants on cells can be performed with uorescent- labeled moAbs directed at these antigens. In each case, the principle of detection involves the use of laser light to excite the uorescent dye and detect its emitted signal. Fluorescent dyes are characterized by their excitation (absorp­tion) and emission wavelength spectra and by the dierence between the maxima of these spectra or Stokes shi (discussed in the spectrophotometry section). ese properties permit the use of multiple uorescent probes on a single cell.
To illustrate the operation of a ow cytometer, consider a four­color, six- parameter (FSC and SSC) conguration ( Figure2-8).36 An argon gas laser with a wavelength of 488 nm is commonly used because it simultaneously excites several dierent dyes that possess dierent emission wavelengths. Fluorochromes conju­gated with moAbs that may be used include uorescein isothio­cyanate, phycoerythrin (PE), energy- coupled dye, and Cy5PE (tandem dye composed of the carbocyanine derivative Cy5 and PE) with peak emission wavelengths of approximately 520, 578, 613, and 670 nm, respectively. e emitted light at each of these wavelengths is detected at an angle of 90 degrees. e array of optical lters selects light in each wavelength region and directs it to a dierent photomultiplier tube where it is detected, ampli­ed, and converted into an electronic signal. is measurement can be made on thousands of cells in a matter of seconds. e result is a histogram that identies distinct cell populations based on light scatter and extrinsic properties. In the case of blood, a histogram will distinguish lymphocytes, monocytes, and granulocytes by light scatter. e B cell, T cell, T- cell sub­sets, and natural killer cell populations can all be distinguished.
is important method of cell analysis has found many appli­cations in medicine, making it a relatively common clinical labo­ratory instrument. Flow cytometry analysis is routinely used to assist in classifying the type of leukemia and lymphoma, derive prognostic information in these and other malignancies, moni­tor immunodeciency disease states such as HIV/AIDS, enu­merate stem cells by cluster dierentiation (CD34), and assess various functional properties of cells.
Image Cytometry
Image cytometry, more commonly known as histology, is a labo­ratory method that uses instruments and techniques to analyze tissue specimens. Examining individual cells, rather than the collection of cells that make up a tissue, is referred to as cytology. e basic components of an image cytometry system may include a microscope, camera, computer, and monitor. Varia­tions and complexity of these systems exist, which are beyond the scope of this chapter. However, the essence of these instru­ments is the ability to acquire images in two or three (confocal microscopy) dimensions to study the distribution of various components within cells or tissues. e high optical resolution
CHAPTER 2 • InTRoduCTIon To Common LAboRAToRy AssAys And TECHnoLogy 37
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FIGURE 2-8. Schematic of a four- color ow cytometry system. The laser beam is focused onto the ow cell
through which the cell suspension is directed. Scattered light is detected by the forward and side scatter detectors.
Emitted light from specic moAb labeled with uorochromes are detected. Appropriate dichroic long pass lters direct the specic wavelength of light through a narrow band pass lter and then to the appropriate PMT.
(Courtesy of Beckman Coulter.)
of these systems is an important determinant in obtaining morphometric information and precise data about cell and tissue constituents through the use of uorescence/absorbance­based probes, as in ow cytometry.37 Specic applications of image cytometry generally involve unique methods of cell or tissue preparation and other modications. is lends to the versatility of this technology, which yields such applications as the measurement of DNA content in nuclei to assess prognosis in cancer and the detection of specic nucleic acid sequences to diagnose genetic disorders.
In Situ Hybridization
Among the methods of image cytometry, in situ hybridiza­tion is perhaps the most commonly used in the clinical labo-
ratory, particularly in molecular cytogenetics laboratories. In situ hybridization is used to localize nucleic acid sequences (entire chromosomes or parts, including genes) in cells or tissues through the use of probes, which consist of a nucleic acid sequence that is complementary to the target sequence and labeled in some way that makes the hybridized sequence detectable. ese principles are common to all methods of in situ hybridization, but they dier in the type of probe that is used. Fluorescent probes, which provide excellent spatial reso­lution, have become a preferred method of in situ hybridization for many applications. (Radioactive probes are also used for this application. However, because their spatial resolution is limited, detection and artifacts are oen produced.)
Fluorescent in situ hybridization (FISH) is a powerful molecu­lar cytogenetics technique used for detecting genes and genetic anomalies and monitoring dierent diseases at the genetic level. ese assays are more sensitive and can detect chromosomal abnormalities that cannot be appreciated by routine chromo­some analysis (ie, karyotyping). Typically, metaphase chromo­somes or interphase nuclei are denatured on a slide along with a uorescent labeled DNA probe. e probe and chromosomes are hybridized, and the slide is washed, counterstained, and analyzed by uorescent microscopy. ere are various types of FISH probes that can be utilized, such as DNA probes to detect nick translations or RNA probes that can detect in vitro transcription. An appropriate arrangement of lters is used to direct the relevant wavelength of light from the light source to excite the uorescent molecule on the probe. All but the emis­sion wavelength of light is blocked with a special lter permit­ting the signal from the probe to be visualized.38 In molecular cytogenetics, these assays are commonly used to identify gene fusions or translocations.
MOLECULAR DIAGNOSTICS
Molecular diagnostics (MDx) were initially introduced into the clinical laboratories as manual, labor- intensive techniques. is discipline has experienced an overwhelming period of matu­ration in the past several years. Testing has moved quickly from highly complex, labor- intensive procedures to more
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user- friendly, semiautomated protocols, and the application potential of MDx continues to evolve. Nucleic acid amplica­tion technologies are among the procedures that have most revo­lutionized MDx testing.
Nucleic Acid Amplification
Polymerase chain reaction (PCR) is the most frequently used of these technologies. Other amplication techniques that are used in clinical laboratory procedures include ligase chain reaction, transcription mediated amplication, branched DNA amplica­tion, isothermal amplication, and nucleic acid sequence- based amplication.
e PCR technology is used principally for detecting microbiologic organisms and genetic diseases (Table2-2). Examples of microorganisms identied by this process include chlamydia, cytomegalovirus, Epstein-Barr virus, HIV, myco­bacteria, and herpes simplex virus. As PCR amplies nucleic acid sequences, if one knows the sequence of interest, then an assay can be developed and optimized for use in patient testing. While the list of cleared and approved targets is lim­ited to the most commonly encountered microorganisms, new assays are being developed by many diagnostic compa­nies. PCR can oen identify organisms with greater speed and sensitivity than conventional methods. For clinical microbi­ology laboratories, PCR methods are attractive because they are rapid, sensitive, and specic. Many laboratories have moved from culture- based methods to molecular ampli­cation methods for the rapid identication of patients that may be colonized with multidrug- resistant organisms, such as Clostridioides dicile, methicillin- resistant Staphylococcus aureus, or vancomycin- resistant enterococci. Rapid identi­cation of these patients is crucial in healthcare settings that oen place these patients on contact precautions to try and reduce the spread of these organisms. e PCR applications in microbiology can also be used to identify organisms car­rying antibiotic resistance genes, such as the Klebsiella pneu- moniae carbapenemase bla all β- lactam antibiotics among members of the Enterobacte- rales and other gram- negative bacilli.
Genetic diseases diagnosed using PCR include α-1 antitryp­sin deciency, cystic brosis, sickle cell anemia, fragile X syn­drome, Tay-Sachs disease, drug- induced hemolytic anemia, and Von Willebrand disease. In addition, cancer research has ben­eted from PCR through the diagnosis of various cancers (eg, chronic myeloid leukemia and pancreatic and colon cancers) as well as through the detection of residual disease aer treat­ment.39 is technique is used to amplify specic DNA and RNA sequences enzymatically.
In addition, PCR takes advantage of the normal DNA repli­cation process. In vivo, DNA replicates when the double helix unwinds and the two strands separate. A new strand forms on each separate strand through the coupling of specic base pairs (eg, adenosine with thymidine and cytosine with guanosine). e PCR cycle is similar and consists of three separate steps (Figure2-9)28:
1.
Denaturation: e reaction tube is heated causing the double
stranded DNA to separate.
gene that confers resistance to
KPC
2. Primer annealing: Sequence- specic primers are allowed to
bind to opposite strands anking the region of interest by decreasing the temperature.
3.
Primer extension: DNA polymerase then extends the hybrid­ized primers, generating a copy of the original DNA template.
e eciency of the extension step can be increased by rais-
ing the temperature. Typical temperatures for the three steps are
201.2°F (94°C) for denaturation, 122°F to 149°F (50°C to 65°C)
for annealing, and 161.6°F (72°C) for extension. Note that cycle temperatures are inuenced by the specic enzyme used, the primer sequence, and the genomic sample. Because one cycle is typically completed in less than three minutes, many cycles can occur within a short time, resulting in the exponential produc­tion of millions of copies of the target sequence.40 e genetic material is then identied by agarose gel electrophoresis.
One potential disadvantage of this method is contamina-
tion of the amplication reaction with products of a previous PCR (carryover), exogenous DNA, or other cellular material. Contamination can be reduced by prealiquoting reagents, using dedicated positive- displacement pipettes, and physically sepa­rating the reaction preparation from the area where the product is analyzed. In addition, multiple negative controls are necessary to monitor for contamination. Also common in clinical labora­tories are instrument platforms that can perform real- time (q) PCR as well as multiplex PCR, which allows amplication of two or more products in parallel in a single reaction tube.40 In real- time detection methods, a labeled oligonucleotide probe containing a uorophore on the 5ʹ end and a quencher on the 3ʹ end bind to the DNA template. With the probe bound, the quencher prevents the uor from emitting light. During DNA synthesis, the extending forward primer causes strand displace­ment. As the activity of the DNA polymerase enzyme continues reading along the template, the exonuclease activity of the poly­merase enzyme cleaves the probe, resulting in the generation of light that is detected by the instrument. As each cycle of PCR continues, more uorescent molecules are released, resulting in increasing uorescence proportional to the amount of amplicon present. Several in vitro diagnostic companies such as BD Diag­nostics, BioFire, Cepheid, and Nanosphere have U.S. Food and Drug Administration (FDA)- approved platforms that can allow for simultaneous detection of multiple microorganism targets. Use of these multiplex assays is attractive because they require minimal sample volumes to generate multiple results. ese tests are typically referred to as syndromic panels— named as such for the most common samples tested, which include upper and lower respiratory tract specimens, stool, blood, and cerebrospi­nal uid to detect CNS infections. Other companies are devel­oping similar panels that can aid in the detection of prosthetic joint infections, which are routinely diagnosed using culture methods, but those suer from decreased analytic sensitivity.
GENOMICS, EPIGENETICS, PROTEOMICS, AND METABOLOMICS
Newly developed techniques capable of examining the DNA, messenger RNA (mRNA), and proteins of cells have provided a
CHAPTER 2 • InTRoduCTIon To Common LAboRAToRy AssAys And TECHnoLogy 39
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FIGURE 2-9. Stages of a single PCR reaction cycle. Beginning with your DNA template, the sample is added into
a microtube with DNA polymerase, forward and reverse sequence specic primers that will bind to and amplify
the region of interest within the template, and excess amounts of deoxynucleotide triphosphates (dNTP). During Step
1 (denaturation), the sample is heated between 93°C and 96°C to separate the double- stranded DNA into two
single stranded templates. During Step 2 (annealing), the forward and reverse sequence specic primers will bind to
complementary sequences within the template to facilitate replication. Annealing occurs between 50°C and 70°C. During Step 3, extension of the template occurs at 68°C and 75°C. During extension, DNA polymerase will catalyze the addition of complementary dNTP to the primer using the sample DNA as the template. This completes one
cycle of the PCR reaction yielding two copies of the amplied region of interest.
framework for detailed molecular classications and treatments of diseases. Genetic analysis of cystic brosis, for example, has shown the disease to be the result of more than 1,500 dierent mutations in the gene cystic brosis transmembrane conduc­tance regulator.41 e most common mutation accounts for two- thirds of cystic brosis cases. Several related develop­ments, especially in the areas of tumor classications, are based on the elds of genomics, epigenetics, and proteomics. e most important laboratory procedures are array- based compar­ative genomic hybridization and the data derived from these studies— bioinformatics.
Genomics
e study of all the genes of a cell, its DNA sequences, and the ne- scale mapping of genes is the science of genomics. A genome is the sum total of all genes of an individual organism. Knowl­edge of full genomes has created multiple possibilities, mainly concerned with patterns of gene expression associated with various diseases.
42,43
Epigenetics
Epigenetics refers to modications of the genome that are func­tionally relevant but do not involve a change in the nucleotide sequence. Histone deacetylation and DNA methylation are
examples of such changes, both of which serve to suppress gene expression without altering the sequence of the silenced genes. Such changes may continue to exist for many cell divisions and even the remainder of the cell’s life, as well as for future genera­tions of cells. However, because there is no change in the under­lying DNA sequence of the organism, nongenetic factors cause the organism’s genes to express themselves dierently.
44
Proteomics
e study of the full complement of proteins in a cell or tissue is called proteomics and includes the comprehensive analysis and characterization of all proteins, including their structure and function that are encoded by the human genome. Protein­based assays were among the rst assays to be approved by the FDA, mostly using immunohistochemistry techniques. Most important biological functions are controlled by signal trans­duction, which are processes governed by the enzyme activities of proteins. Diseases such as cancer, while fundamentally the result of genomic mutations, manifest as dysfunctional protein signal transduction. Many pharmaceuticals are now being devel­oped to aim at modulating the aberrant protein activity, not the genetic defect.
Proteomics will eventually have a great impact in the practice
of medicine. Although the genome is the source of basic cellular
45-47
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information, the functional aspects of the cell are controlled by and through proteins, not genes. e main challenge to the study of proteomics is due to the proteome’s complexity compared with the genome. e human genome encodes approximately 23,000 genes, approximately 21,000 of which encode proteins. However, the total number of proteins in human cells is esti­mated to be between 250,000 and 1 million. Furthermore, pro­teins are dynamic and constantly undergo changes, synthesis, and breakdown. Currently, most of the FDA- approved targeted therapeutics are directed at proteins and not genes.
Metabolomics
Similar to proteomics, metabolomics is a rapidly emerging eld that combines multiple strategies and techniques to identify and quantify metabolites. Metabolites are small molecule substrates (ie, intermediates substances and the products of our metab­olism). Like the Human Genome Project, which launched in 1990 and was completed in April 2003, the Human Metabo lome Project, funded by Genome Canada, was launched in 2005 to describe and understand the complete collection of small molecules in a sample, including endogenous and exog­enous compounds. e project led to the development of the Human Metabolome Database (https://hmdb.ca/) a freely avail- able web- accessible database that contains detailed information about small molecule metabolites found in the human body. To date, the database contains more than 114,000 metabolite entries with links to more than 5,700 protein sequences associated with the metabolites. Metabolomics is useful for future identication biomarkers that could be used as diagnostic or prognostic of any number of diseases.
ARRAY-BASED COMPARATIVE HYBRIDIZATION
Molecular proles of cells can now be determined using array­based comparative hybridization.48 is technique is especially
useful in proling tumor cells. Until recently, changes occurring in cancer cells were studied one at a time or in small groups in small sets of tumors. New array comparative hybridization or microarray technology (“gene chips”) has enabled investi­gators to simultaneously detect and quantify the expression of large numbers of genes (potentially all genes) in dierent tumors using mRNA levels. In this technique, samples are obtained from tissues embedded in paran blocks, and serve as the sources to prepare new blocks that may contain up to thousands of tissue fragments. ese multiple samples are then used to test the expression of potential tumor markers by mRNA expression proling. e mRNA levels, however, do not always correspond to changes in tumor cell proteins. e quantity of protein within a cell depends not only on the amount and rate of transcription and translation, but also on protein breakdown and the rate of transport out of the cell. Although tissue used for mRNA proling may include both tumor and stromal cells, by adding immunohistochemistry methods, specic proteins in tissue sections originating from both normal as well as tumor cells can be identied.
As a specic example, several types of breast cancer cells,
which were previously identied only by morphology, are now being studied by array- based comparative hybridization tech niques. Combined with immunohistochemistry staining and protein expression levels, new subtypes that were not previ ously well dened have been identied (eg, the basal- like car­cinomas).49 As a consequence, new treatment modalities have been developed. Array- based comparative hybridization meth­ods have also identied new subtypes of other tumors, such as lymphomas and prostate cancer with potential for susceptibility and prognosis.
50
NANOTECHNOLOGY
Nanotechnology refers to the emerging science that studies interactions of cellular and molecular components at the most elemental level of biology, typically clusters of atoms, molecules,
­and molecular fragments. Nanoscale objects have dimensions
smaller than 100 nm. At this dimension, smaller than human cells (which vary from 10,000 to 20,000 nm in diameter), small clusters of molecules and their interactions can be detected. Nanoscale devices smaller than 50 nm can easily enter most cells, while those smaller than 20 nm can move out of blood vessels, oering the possibility that these devices will be able to enter biological chambers, such as the blood–brain barrier or the gastrointestinal epithelium, and identify tumors, abnormalities, and deciencies in enzymes and cellular receptor sites. Within these biological chambers, they will be able to interact with an individual cell in real time and in that cell’s native environment.
Despite their small size, nanoscale devices can also hold tens of thousands of small molecules, such as a magnetic resonance imaging contrast agent or a multicomponent diagnostic system capable of assaying a cell’s metabolic state. A good example of this approach will capitalize on existing “lab- on- a- chip” and microarray technologies developed at the micron scale. Widely used in biomedical research and to a lesser extent for clinical diagnostic applications today, these technologies will nd new uses when shrunk to nanoscale. (In some instances, nanotech­nology has already taken advantage of previous clinically rel­evant technological developments on larger scales.)
Currently, innovative testing is available for many dierent viruses, mutation analysis, and hematologic and solid tumors. With continuing advances and developments in nanotechnol­ogy, it is impossible to speculate as to what this new area of test­ing holds for the future of the clinical laboratory.
SUMMARY
is chapter presents a brief overview of the more common and some emerging laboratory methodologies, including their potential advantages and pitfalls. Some historical methods have been discussed to provide a basis and description of the simple principles on which the more complex methods are based. A summary of some of the most common assay methods performed for routine laboratory tests is provided in Table2-2.
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CHAPTER 2 • InTRoduCTIon To Common LAboRAToRy AssAys And TECHnoLogy 41
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Because of its simplicity and improved sensitivity, ISE has replaced ame photometry as the principal method for mea­suring serum and urine electrolytes in clinical specimens. Some methods, including turbidimetry, nephelometry, and spectro photometry, are used in conjunction with other tests such as immunoassays. With these methods, concentrations of sub stances such as immune complexes are able to be determined.
Mass spectrometry is the gold standard for the identica­tion of unknown substances, including drugs of abuse. Many of the newest designer drugs and bath salts are only identi­able based on this technique, as no other methodologies exist to detect them in clinical specimens. e two principal forms of chromatography are liquid and gas. Both types are similar in that they depend on dierences in either solubilities or boil­ing points, respectively, to separate dierent analytes in a sam­ple. Another group of important tests are the immunoassays: EIA, EMIT, ELISA, and FPIA. ese methods depend on an immunologically mediated reaction that increases sensitivity and specicity over RIA. ese assays are commonly used to determine routine clinical chemistries and drug concentrations. PCR and other nucleic acid amplication techniques are used to amplify specic DNA and RNA sequences, primarily in the areas of microbiology and detection of genetic diseases. Finally, with the potential advances envisioned in the area of nanotechnology, the laboratory will be able to provide clinicians with information and access to the patient’s cellular and molecular environments, thus providing the ability to target therapies at the exact site of the pathologic process.
e rapid technological advancement of laboratory instru­mentation has led to the implementation of new and enhanced clinical laboratory methodologies, including MS, cytometry, laboratory automation, and POC testing. Although laboratory medicine endeavors to keep pace with the burgeoning develop­ments in biomedical sciences, especially with an increase in the sophistication of the tests, it is essential that today’s clinicians have a basic understanding of the more common and esoteric tests to select the most appropriate one in each case. All of these developments will translate directly into improved patient care.
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Tenover FC, Arbeit RD, Goering RV, et al. Interpreting chromosomal
24. DNA restriction patterns produced by pulsed- eld gel electrophoresis: criteria for bacterial strain typing. J Clin Microbiol. 1995;33(9):2233-2239.
PubMed
25. Slagle KM. Immunoassays: tools for sensitive, specic, and accurate test results. Lab Med. 1996;27:177.
26. Köhler G, Milstein C. Continuous cultures of fused cells secreting antibody of predened specicity. Nature. 1975;256(5517):495-497.
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27. Berson SA, Yalow RS, Bauman A, et al. Insulin-I131 metabolism in human subjects: demonstration of insulin binding globulin in the circulation of insulin treated subjects. J Clin Invest. 1956;35(2):170-190.
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28. Ashihara Y, Kasahara Y, Nakamura RM. Immunoassays and Immunochemistry. In: McPherson RA, Pinkus MR, eds. Henry’s Clinical Diagnosis and Management by Laboratory Methods. 21st ed. Philadelphia, PA: WB Saunders; 2001.
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29. Kitson FG, Larsen BS, McEwen CN. Gas Chromatography and Mass Spectrometry: A Practical Guide. San Diego: Academic Press; 1996.
30. Siuzdak G. Mass Spectrometry for Biotechnology. San Diego: Academic Press; 1996.
31. Bowers LD, Ullman MD, Burtis CA. Chromatography. Burtis CA, and Ashwood ER, eds. Tietz Fundamentals of Clinical Chemistry. 5th ed. Philadelphia: WB Saunders; 2001:133-156.
32. Van Bramer SE. An introduction to mass spectrometry (1997).
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33. Busch KL, Glish GL, McLuckey SA. Mass Spectrometry/Mass Spectrometry: Techniques and Applications of Tandem Mass Spectrometry. New York: VCH Publishers Inc; 1988.
34. van Veen SQ, Claas EC, Kuijper EJ. High- throughput identication of bacteria and yeast by matrix- assisted laser desorption ionization- time of ight mass spectrometry in conventional medical microbiology laboratories. J Clin Microbiol. 2010;48(3):900-907.PubMed
35. Melnick SJ. Acute lymphoblastic leukemia. Clin Lab Med. 1999;19(1): 169-186.PubMed
36. Alamo AL, Melnick SJ. Clinical application of four and ve- color ow cytometry lymphocyte subset immunophenotyping. Cytometry. 2000;42(6):363-370.PubMed
37. Raap AK. Overview of uorescent in situ hybridization techniques for molecular cytogenetics. Current Protocols in Cytometry. 1997; 8.1.1-8.1.6.
Wilkinson DG. e theory and practice of in situ hybridization.
38. Wilkinson DG, ed. In Situ Hybridization—A Practical Approach. Oxford: Oxford University Press; 1992:1-13.
39. Erlich HA, Gelfand D, Sninsky JJ. Recent advances in the polymerase chain reaction. Science. 1991;252(5013):1643-1651.PubMed
40. Remick DG. Clinical applications of molecular biology. McClatchey KD, ed. Clinical Laboratory Medicine. Baltimore: Williams & Wilkins; 1994:165-174.
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42. Bloom MV, Freyer GA, Micklos DA. Laboratory DNA Science: An
Introduction to Recombinant DNA Techniques and Methods of Genome Analysis. Menlo Park, CA: Addison-Wesley; 1996.
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Primer on Drug Interferences
https://t.me/med1917
with Test Results
3
OBJECTIVES
After completing this chapter, the reader should be able to
Distinguish between in vivo and in vitro drug interferences with laboratory tests
Identify suspected drug–laboratory test interference in a logical, systematic manner given a drug and a laboratory test
Devise a stepwise process to conrm
that a drug is causing a clinically
signicant drug–laboratory test
interference
Distinguish among tertiary, secondary, and primary literature resources about drug–laboratory test interferences
Apply a systematic process to search and identify medical literature relevant to a suspected drug– laboratory test interference
Mary Lee
rough a variety of mechanisms, drugs can interfere with laboratory test results. If the clinician who has ordered the laboratory test is not aware that the drug has altered the results of the test, inappropriate management of the patient may follow, includ­ing unnecessary hospitalization, extra oce visits, or additional laboratory or clinical testing— all of which may increase the cost of healthcare. is chapter addresses this situation and provides resources that health professionals can use to better interpret laboratory tests when a drug is suspected to interfere with test results.
IN VIVO AND IN VITRO DRUG INTERFERENCES WITH LABORATORY TESTS
When a drug interferes with a laboratory test result, it alters the laboratory value. Mechanisms for drug interference of clinical laboratory tests can be classied as either in vivo or in vitro.1 In vivo drug interferences can also be called physiologic and can be subclassied as pharmacological or toxicological. In vivo drug interferences account for most eects of drugs on laboratory tests.2 In contrast, the term in vitro drug inter- ferences is used synonymously with analytical or methodological interferences.
In Vivo Interference
An in vivo interference is an actual change in the analyte concentration or activity prior to specimen collection and analysis. e assay measurement is actual and accurate and reects a change in the measured substance that has occurred in the patient. erefore, an in vivo interference will always change a laboratory test result, independent of the assay methodology. A drug can produce an in vivo interference in several ways. By a direct extension of its pharmacological eects, a drug can produce changes in some laboratory test results. For example, thiazide and loop diuretics will commonly cause increased renal elimination of potassium. erefore, decreased serum potassium levels can occur in treated patients. In these patients, hypokalemia is actual and accurate. Similarly, β adrenergic antagonists decrease renin and aldo­sterone secretion, which can lead to increased serum potassium levels.
Other drugs produce changes in laboratory test results by producing in vivo toxi­cological eects. As the drug damages a particular organ system, abnormal labora­tory tests may be one of the rst signs of the problem. For example, as isoniazid and rifampin produce hepatotoxicity, elevated hepatic transaminases will signal the onset of liver inammation. Similarly, as a prolonged course of high- dose aminoglyco­side antibiotic causes acute proximal tubular necrosis, serum creatinine and serum trough aminoglycoside levels will increase steadily if the antibiotic is not stopped or if the antibiotic dose is not reduced. In the face of cyclophosphamide- induced bone marrow suppression, neutropenia will become evident 10 to 14 days aer a dose has been administered.
2
DOI 10.37573/9781585286423.003
In Vitro Interference
Drugs in a patient’s body uid or tissue can directly interfere with a clinical laboratory test during the in vitro analytical process. is type of drug–laboratory test interaction is highly dependent on the laboratory test methodology, as the reaction may occur with one specic assay method but not another. In vitro drug- laboratory test interactions are
43
44 BASIC SKILLS IN INTERPRETING LABORATORY DATA
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common with radioimmunoassays for which cross reactions can occur because of drug metabolites or drugs that are chemically similar to the parent drug, or because of heterophilic antibod­ies that are similar to endogenous antibodies. False high or false low laboratory test results occur.
2-5
For example, serum digoxin levels are commonly determined using a radioimmunoassay, a uorescent polarization immunoassay, or a TDx assay. However, these assays are based on the three- dimensional structure of the digoxin molecule, and many other drugs with a similar chemical structure to digoxin (eg, spironolactone, estrogen replacement products, cortisol, digoxin metabolites) can cross- react with the ass ay.6 A falsely increased or decreased serum digoxin level can result. To determine the true serum digoxin level in this situa­tion, another assay technique (eg, high- pressure liquid chroma­tography [HPLC]) may be used. In addition, substances that are prepackaged in or added to the in vitro system before or aer sample collection can cause laboratory test interference in vitro. As an example, test tubes sometimes contain lithium heparin or sodium uoride. Heparin can interfere with aminoglyco­side assays, and uoride can cause false increases in blood urea nitrogen (BUN) when measured by the Ekatchem assay.
Alternatively, a drug may cause discoloration of the body uid specimen, which may interfere with colorimetric, photo­metric, or uorometric laboratory- based assay methods. For example, phenazopyridine causes an orange- red discoloration of urine that may be mistaken for blood. Nitrofurantoin may cause a brown discoloration of the urine that may alarm the patient. ese types of drug interference with laboratory test­ing can be detected visually and appropriate attribution of the abnormality should be made by knowledgeable clinicians and clinical laboratory sta.
Other common mechanisms by which drugs cause in vitro interferences with laboratory tests include the following:
A drug alters the specimen pH (usually urine) so that reagent
reactions are inhibited or enhanced. For example, acetazol-
amide produces an alkaline urinary pH that causes false-
positive proteinuria with reagent dip strips.
A drug chelates with an enzyme activator or reagent used
in the in vitro laboratory analysis. For example, large doses
of biotin, as are included in some over- the- counter nutri-
tional supplements, can compete for the biotin- streptavidin
complex which is a component of many radioimmunoas-
3,7-9
says.
Also, daptomycin interacts with rabbit or human thromboplastin, which is associated with a dose- dependent prolongation of prothrombin time and international normal­ized ratio.
A drug absorbs at the same wavelength as the analyte. For
10,11
example, methotrexate interferes with analytic methods using high performance liquid chromatography and an absorbance range of 340 to 410 nm.
A drug reacts with reagent to form a chromophore (eg, cefox­itin or cephalothin) with the Jae- based creatinine assay.
In addition to the parent drug, other drug- related compo-
nents may cause signicant interferences with laboratory tests. Metabolites can cross- react with the parent drug in an assay, such as in the case with cyclosporine. Its metabolites cross- react
with the parent drug in HPLC assays and can produce a falsely high measurement of the concentration of cyclosporine.12 Con­taminants in herbal products, which are subject to less regula­tion than medications in the United States, may interfere with some laboratory tests.7 Inactive ingredients of some drug prod­ucts, which includes excipients such as lactose or starch, pre­servatives, colorants, or avoring agents, may inuence assay results. Although most manufacturers do report the inactive ingredients in their products, little systematic research has been performed to assess the impact of these substances on labora­tory tests. Compounding these factors, many laboratory test interferences are concentration related, and many drug metabo­lites and their usual plasma concentrations have yet to be iden­tied. erefore, systematic study of all of these potential causes of interactions is dicult to conduct and is not available in many cases.
13
Simultaneous In Vivo and In Vitro Effects
Some drugs can aect an analyte both in vivo and in vitro. In these situations, interpretation is extremely dicult because the degree of impact in each setting cannot be determined easily. For example, when a drug produces hemolysis in a patient with glucose-6- phosphate dehydrogenase deciency who is exposed inadvertently to ciprooxacin, hemolytic anemia may result. Hemolyzed red blood cells produce a red discoloration of the plasma or serum. e hemoglobin released from the damaged red blood cells can interfere with analysis of alkaline phospha­tase or γ- glutamyl transferase, both of which can be assayed using a spectrophotometric analysis that depends on color changes aer a chemical reaction.
13,14
Simultaneous in vivo and in vitro drug interferences with laboratory tests can also occur commonly when drugs increase bilirubin or when a drug causes lipemia.
15
IDENTIFYING DRUG INTERFERENCES
Incidence of Drug Interferences
e true incidence of drug interferences with laboratory tests is unknown. is is because many situations probably go unde­tected. However, as the number of laboratory tests and drugs on the U.S. commercial market increase, it is likely that the number of cases of in vivo interferences will also increase. As a reection of this, consider the number of drug–laboratory test interferences reported by D. S. Young, author of one of the classic literature references on this topic. In the rst edition of Eects of Drugs on Clinical Laboratory Tests, published in the journal Clinical Chemistry in 1972, 9,000 such interactions were included.16 In the second edition of the same publication, which was published in 1975, 16,000 such interactions were reported.17 In 1997, this resource, which had been converted to an online searchable database, included more than 135,000 interactions.18 In 2014, this resource included 171,000 interactions.
As for in vitro interferences, the number of drug– laboratory test interferences may be moderated over time because of newer, more specic laboratory test methodologies that minimize
19
CHAPTER 3 • PRimER on DRug inTERfEREnCEs wiTH TEsT REsulTs 45
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cross- reactions with drug metabolites or drug eects on reagents or laboratory reactions.
14,18
In addition, manufacturers of com­monly used laboratory equipment systematically study the eects of drugs on assay methods.17 erefore, this information is oen available to clinicians who confront problematic labora­tory test results in patients. is increased awareness reduces the number of patients who are believed to have experienced newly reported drug–laboratory test interferences.
Suspecting a Drug Interference
A clinician should suspect a drug–laboratory test interference when an inconsistency appears among related test results or between test results and the clinical picture. Specically, clini­cians should become suspicious when the following occurs:
Test results do not correlate with the patient’s signs, symptoms, or medical history.
Results of dierent tests— assessing the same organ anatomy or organ function, or the drug’s pharmacologic eects— conict with each other.
Results from a series of the same test vary greatly over a short period of time and for no apparent reason.
Serial test results are inconsistent.
No Correlation with Patient’s Signs, Symptoms, or Medical History
As emphasized elsewhere in this book, when an isolated test result does not correlate with signs, symptoms, or medical history of the patient, the signs and symptoms should be consid­ered more strongly than the test result. is rule is particularly true when the test result is used to conrm suspicions raised by the signs and symptoms in the rst place or when the test result is used as a surrogate marker or indirect indicator of underly ing pathology.
For example, serum creatinine is used in various formulae to approximate the glomerular ltration rate, which is used to assess the kidney’s ability to make urine. However, actual urine output and measurement of urinary creatinine excretion is a more accurate method of assessing overall renal function. If a patient’s serum creatinine has increased from a baseline of 1 mg/dL to 5 mg/dL over a three- day period, but the patient has had no change in urine output, urinary creatinine excre­tion, or serum electrolyte levels, then the serum creatinine level may be elevated because of a drug interference with the labo­ratory test. Similarly, if a patient has a total serum bilirubin of 6 mg/dL, but the patient is not jaundiced or does not have scleral icterus, then a drug interference with the laboratory test should be considered.
Conflicting Test Results
Occasionally, pharmacological or toxicological eects of a drug produce conicting results of two tests that assess the same organ function. For example, a presurgical test screen shows a serum creatinine of 4.2 mg/dL in an otherwise healthy 20- year­old patient with a BUN of 8 mg/dL. Usually, if a patient had true renal impairment, BUN and serum creatinine would be elevated in tandem. us, in this patient, a drug interference with the
laboratory test is suspected. Further investigation revealed that the patient received cefoxitin shortly before blood was drawn for the laboratory test. Cefoxitin can falsely elevate serum creatinine concentrations. us, the elevated serum creatinine is likely due to drug interference with the laboratory test and not to renal failure. To conrm that this is the case, cefoxitin should be discontinued and the serum creatinine repeated aer that. If it is due to the drug, the elevated serum creatinine should return to the normal range.
20
Varying Serial Test Results Over a Short Time Period
Typically, the results of a specic laboratory test should follow a trend in a patient. However, in the absence of a new onset of medical illness or worsening of existing disease, a sudden change in the laboratory test result trend should cause exami­nation of a possible drug interference with a laboratory test. For example, prostate specic antigen (PSA) is a tumor marker for prostate cancer. It is produced by glandular epithelial cells of the prostate. e normal serum level is <4 ng/mL in a patient without prostate cancer, and the level is typically elevated in patients with prostate cancer. However, it is not specic for prostate cancer. Elevated PSA serum levels are also observed in patients with benign prostatic hyperplasia, prostatitis, or follow ing instrumentation of the prostate. A 70- year- old male patient with metastatic prostate cancer has a PSA of 30 ng/mL and has decided not to undergo treatment. Four serial PSA tests over the course of one year and done at three- month intervals show no change. Despite the absence of any changes on pelvic computer­ized axial tomography, bone scan, or chest radiograph, his PSA is 10 ng/mL at his most recent oce visit. Aer a careful inter­view of the patient, the urologist discovers that the patient has been treated for androgenetic alopecia for the past six months with nasteride. e patient received the prescription from
­another physician for lower urinary tract voiding symptoms,
and nasteride lowered the PSA level.
21
Serial Test Results That Are Inconsistent with ExpectedResults
Generally, repeated laboratory test results should show little change over time assuming that the status of the medical condi­tion or treatment for the medical condition in an individual patient stays the same. However, when serial test results are inconsistent with expected results, a drug–laboratory test inter­ference should be suspected. For example, leuprolide, a lutein­izing hormone- releasing hormone (LHRH) agonist, is useful in the management of prostate cancer, which is an androgen depen­dent tumor. Persistent use of leuprolide causes down- regulation of pituitary LHRH receptors, decreased secretion of luteinizing hormone, and decreased production of testicular androgens. Apatient with prostate cancer treated with leuprolide should experience a sustained reduction in serum testosterone levels from normal (280 to 1,100 ng/dL) to castration levels (<50 ng/dL) aer 2 to 3 weeks. e serum testosterone level should remain below 50 ng/dL as long as the patient continues treatment with leuprolide, and as long as he makes returns to the clinic for repeated doses on schedule. However, one of the adverse eects of leuprolide is decreased libido and erectile dysfunction, which
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