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KIMIA KLINIK DAN
BIOANALISIS
Edy Meiyanto
Fakultas Farmasi UGM
http://edymei.blog.ugm.ac.id
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I. KIMIA KLINIK
1. PENDAHULUAN: Pengertian, batasan,
ketepatan diagnostik, dan sample klinik.2. PENANGANAN SAMPEL DARAH DAN URIN
3. ANALISIS SEL LIMFOSIT DENGAN FC
4. ANALISIS HEMATOLOGI
5. ANALISIS KIMIA DARAH
6. ANALISIS FUNGSI GINJAL
7. ANALISIS FUNGSI HATI2
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II. BIOANALISIS
1. TEKNIK DASAR KULTUR SEL
2. UJI GENOTOKSIK-13. UJI GENOTOKSIK-2
4. UJI MENGGUNAKAN SEL PRIMER
5. UJI MENGGUNAKAN SEL LINES6. UJI MENGGUNAKAN MIKROBA
7. OVARIEKTOMI
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Tema Praktikum dan Dosen
PembimbingNo Tema Keterangan Dosen Pembimbing
1 Analisis kerusakan
genetik
Parameter MNPCE darah
perifer & bone marrow
Dr. Ag.Yuswanto, SU., Apt.
2 Analisis fungsi
hepar A
Kolesterol total dan
Trigliserida
Prof. Dr. Ediati S.E., Apt.
3 Analisis fungsi
hepar B
Parameter SGPT, SGOT, Prof. Dr. Sudibyo M., MS., Apt.
4 Analisis fungsi
ginjal
Kreatinin, Ureum, He Dr. Riris Istighfari Jenie, M.Si., Apt.
5 Analisis fungsi
jantung
SGPT, SGOT, NQ Prof. Dr. Edy Meiyanto, M.Si., Apt.
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PENDAHULUANTUJUAN KIMIA KLINIK
Mengukur level senyawa yang secara normal
terdapat dalam darah yang memiliki fungsi biologi.
Misal. Glukosa, kolesterol
Mengukur level senyawa metabolit non-fungsional di
dalam darah. Misalnya ureum, kreatinin
Mendeteksi indikator adanya kerusakan sel. Misalnya
SGPT untuk sel hati Mendeteksi adanya senyawa/obat dalam cairan
biologis
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KONSEP DIAGNOSTIK
SISTEMBIOLOGI
ORGAN TUBUHSEL
GANGGUANMACROMOLE
CULS
DNA/RNAPROTEIN
SISTEM
DETEKSI
TARGETED-
SPECIFIC
TEKNOLOGI
MOLECULAR
DIAGNOSTICS
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Keberhasilan dalam kedokteran modernbergantung pada kecermatan dalam diagnosisspesifik molekular pada:
Viruses
Bacteria
Fungi
Parasites
Proteins
In water, plants, soil and humans.
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TESTING PRE-NATAL: apakah janin sehat?
PREDISPOSISI PENYAKIT:
punya risiko penyakit apa?
DETEKSI PENYAKIT: Sakit apa?
SELEKSI OBAT: obat apa yang tepat?
MONITORING PENYAKIT: bagaimana penyakitnya akan kambuh?
1
2
3
4
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5
Moleculardiagnostics is
>$3 billionmarket WW andgrowing at >20%
annually
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CONTOH APLIKASI DIAGNOSIS TERKINI
PrenatalDiagnostics
Oncology
InfectiousDisease
TransplantationMedicine
Genetic Testing High throughput testing for genetic
disorders including SNPs, insertions,deletions Examples: Factor II, Factor V, CFTR
Non-invasive detection of fetal diseases Examples: Down syndrome, RhD, cystic
fibrosis
Early diagnosis of cancer Example: circulating tumor DNA
Non-invasive, early detection of organrejection
Example: urine testing for kidney rejection
Pathogen identification and early detection Examples: identification of multi drug
resistant mycobacteria, early detection of
drug-resistant viral strains, e.g. HIV, HBV,HCV
Progress is being madein all of these areas
Each of these areas arecommercially attractive
In some cases, theMassARRAY platform isuniquely qualified forspecific tests
More tests will be addedto the platform as thesetests are rolled out
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Proporsi pasien yang mendapat diagnosis
sehingga memberikan informasi
yangbenar sesuai dengan tujuandiagnosis.
Untuk menguji ketepatan alat uji
diagnostik,digunakan alat uji pembandingyang standar yang dinamakan Gold
Standar
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1. Ketepatan :jumlah hasil uji yang benar
dibagidengan jumlah pasien yang diuji.2. Sensitivitas :jumlah hasil uji positif benar
(truepositive)dibagi dengan jumlah orang yang
teruji sakit.
3. Spesifitas :jumlah hasil uji negatif benar(truenegative) dibagi dengan jumlah orang teruji
tidak sakit.
4. Nilai prediksi positif:jumlah hasil uji positifbenar dibagi dengan jumlah hasil semua uji
positif.
5. Nilai prediksi negatif:jumlah hasil uji negatif
dibagi dengan jumlah hasil semua uji negatif 14
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Contoh kasus: skrining bayi lahir yang membawa penyakit
genetik di Amerika
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PPV= 250/2249 = 11 %
NPV= 997750/997751 = 100 %
Maknanya??? Kalau + perlu revalidasi
Hasil uji Status sakit total
ada tidak
Hasil uji positif
Hasil uji negatifTotal
TP:250
FN:1TP +FN:250
FP:1.999
TN:997.750FP+TN:999.75
TP+FP:2.249
FN+TN:999.751Semua bayi yg
diuji:1.000.000
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1. DARAH UTUH
2. PLASMA3. SERUM
4. URIN
5. CAIRAN SEREBROSPINAL6. BIOPSI
7. JARINGAN
8. DLL17
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KOLEKSI SAMPLE
IDENTIFIKASI PASIEN
PENGGUNAAN TABUNG/TUBE/CONTAINER
PEMBERITAHUAN KEPADA PASIEN TENTANGTATACARA PENGAMBILAN SAMPEL
PASIEN DALAM POSISI YANG NYAMAN
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KESALAHAN UMUM DALAM KOLEKSI SAMPEL
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PELABELAN SALAH ATAU TIDAK LENGKAP
JUMLAH TIDAK MENCUKUPI
KELIRU DALAM MEMILIH TABUNG
INSTRUKSI PADA PASIEN TIDAK TEPAT ATAU
KURANG
LENGKAP
TUTUP TIDAK RAPAT SEHINGGA MENYEBABKANTUMPAH ATAU
TERKONTAMINASI
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KESALAHAN UMUM DALAM KOLEKSI SAMPEL
SERUM
GAGAL DALAM MEMISAHKAN SERUM DARI
SEL DARAH MERAH
DALAM WAKTU 60 MENIT
PENJENDALAN DARAH TIDAK BERHASIL
DENGAN BAIK
TERJADI HEMOLISIS
LIPEMIA: KEKERUHAN PADA SERUM
DISEBABKAN DIET
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HEMOLISIS
In general, grossly or even moderately
hemolyzed blood specimens may not be
acceptable for testing.
Hemolysis occurs when the red cells rupture
and hemoglobin and other intracellular
components spill into the serum.
Hemolyzed serum or plasma is pink or red,
rather than the normal clear straw or pale
yellow color
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MENGHINDARI HEMOLISIS CONT
Be as gentle as possible, drawing the blood evenly.
Too much pressure in drawing blood into a syringe
or forcefully ejecting blood into a collection tube
from a syringe may damage red cells.
Allow collection site to dry after cleaning. Alcoholused to clean the puncture site may cause
contamination in a tube.
Do not collect a specimen in a hematoma.
Allow specimen to clot completely before
centrifuging.
Do not centrifuge the specimen for a prolonged
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LIPEMIA
Normal serum or plasma is a clear and lightyellow to straw in color. Turbid serum or
plasma appears cloudy or milky.
Serum or plasma may be cloudy due tobacterial contamination or chronic or
transient high lipid levels in the patient's
blood.
The primary dietary sources of lipids (fatty
substances) are meats, butter, cream, and
cheese.37
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FLOWCYTOMETRY
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What Is Flow Cytometry?
Flow ~ cells in motion
Cyto ~ cell Metry ~ measure
Measuring properties of cells while in a
fluid stream
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Cytometry vs Flow Cytometry
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Cytometry vs. Flow CytometryCytometry
Localization of antigenis possible
Poor enumeration of
cell subtypes
Limiting number of
simultaneous
measurements
Flow Cytometry.
Cannot tell you whereantigen is.
Can analyze many
cells in a short time
frame.
Can look at numerous
parameters at once.
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What is Flow Cytometry?
Flow refers to a fluid stream
Cyto refers to a cell
metry refers to measurement.
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D fi iti
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Definitions
Flow cytometry: study of cells as they
move in fluid suspension, allowing multiple
measurements to be made per cell.
FACS: fluorescence-activated cell
sorting
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What Can a Flow Cytometer
Tell Us About a Cell? Its relative size (Forward Scatter
FSC)
Its relative granularity or internalcomplexity (Side ScatterSSC)
Its relative fluorescence intensity(FL1, FL2, FL3, FL4, and FL5)
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Scatter profile of lysed whole blood
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Scatter profile of lysed whole blood
SideScatte
r
Forward Light Scatter
0 200 400 600 800 1000
0
20
0
400
600
800
1000
Lymphocytes
Monocytes
Granulocytes
largest and mostgranular population
smallest and least
granular population
Cytometer fluidics create laminar flow
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Cytometer fluidics create laminar flow
Sample stream
Sheath stream
Cell
Laser beam
Flow Cell
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Absorption and Emission Spectraof a Fluorochrome
Wavelength (nm)
400 450 500 550 600 650 700
1000
800
600
400
200
0
FITC
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A Cytometer Needsa Combined System of:
Fluidics
To introduce and focus the cells for
interrogation
Optics
To generate and collect the light signals
Electronics To convert the optical signals to
proportional electronic signals and digitize
them for computer analysis
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OpticsFACSCaliburFL1
Red Diode Laser
~635 nm
SSC
FL3
FL4
670LP
661/16
585/42
488/10
90/10 Beam Splitter
DM 560SP
Fluorescence
Collection Lens
DM 640LP
Half Mirror
488/10
.488 nm
Blue Laser FSC Diode
Focusing
Lens
FL2
530/30
Beam Combiner
FlowCell
FlowCell
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Two-Color Direct Staining
Analyze
WashIncubate
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Two-Color Cell Analysis
CD19PE
CD3 FITC
100100
101
102
103
104
101 102 103 104
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Three-Color Direct Staining
Analyze
WashIncubate
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Three-Color Cell Analysis
CD3 APC CD3 APC
CD4F
ITC
CD8PE
CD4 FITC
CD8PE
100 101 102 103 104100
101
10
2
103
104
100
101
10
2
103
104
100
101
10
2
103
104
100 101 102 103 104 100 101 102 103 104
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DNA Histogram
0 200 400 600 800 1000
0
50
100
150
200
250
Counts
FL2-Area
G0/G1
S G2/M
Fluorescence data display
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Fluorescence data display
PE
FITCFITC Fluorescent Intensity
NumberofEvents
Negative control histogram
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Cell sorting
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Cell sorting
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Fluorescence sensitivity
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Fluorescence sensitivity
Detection Efficiency (Q): number ofphotoelectrons generated per molecule of
fluorophore
Dependent upon fluorophore, filters, PMT
sensitivity, voltage gain setting, etc.
Background (B): non-specific signal intrinsic
to the system
Dependent upon autofluorescence, unboundfluorophore, stray light, etc.
Common fluorophores for Ab conjugation
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Common fluorophores for Ab conjugation
FLUOROCHROME Type of molecule Typical excitation laser Approximate emission
peakFluorescein
isotyocyanate (FITC)
Small organic 488 nm 518 nm
AlexaFluor 488 Small organic 488 nm 518 nm
Phycoerythrin (PE) Protein 488 or 532 nm 574 nm
PE-Texas Red Protein tandem 488 or 532 nm 615 nm
PE-Cy5 Protein tandem 488 or 532 nm 665 nm
Peridinin chlorophyll
protein (PerCP)
Protein 488 or 532 nm 676 nm
PerCP-Cy5.5 Protein tandem 488 or 532 nm 695 nm
PE-Cy7 Protein tandem 488 or 532 nm 776 nm
Allophycocyanin (APC) Protein 633 nm 659 nm
AlexaFluor 647 Small organic 633 nm 667 nm
AlexaFluor 700 Small organic 633 nm 718 nm
APC-Cy7 Protein tandem 633 nm 784 nm
Pacific Blue Small organic 405 nm 454 nm
AmCyan Protein 405 nm 487 nm
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Flow Cytometry Clinical
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Applications HIV immunophenotyping (CD4 absolute counts)
Cytokine analysis
Leukemia and lymphoma diagnosis- minimum residual disease detection
Cell cycle and DNA ploidy analysis
Stem Cell Analysis
HLA B 27 Typing
Residual white blood cell detection
Reticulocyte enumeration
Flow crossmatching (organ transplantation)
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Immunophenotyping of leukaemiccells
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The Composition of Whole Blood (4-6L in an adult)
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The percentageranges for whiteblood cells indicate
the normal variationseen in a count of100 white bloodcells in a healthyindividual.
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Sel darah dan fungsinya
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g y
Jenis Titer (sel per
uL)
Fungsi Catatan
Sel Darah Merah 4,4-6,0 juta Mengangkut oksigen Umur sekitar 120
hari, tidak punya
nukleus,
mitokondria
SEL DARAH PUTIH
Neutrofil
1800-7300
50-70 %
Fagosit: menelan patogen
atau debris yg ada dijaringan, melepas esim
sitotoksik
Bertahan beberapa
hari
Eosinofil 0-700
2-4 %
Fagosit: menelan material
yg terlabel antibodi,
melepas ensim sitotoksik,
mengurangi inflamasi
Bertahan beberapa
hari
Basofil 0-150
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g y
Jenis Sel Titer (sel per uL) Fungsi Catatan
Monocytes 200-9502-8 %
Masuk ke jaringanberdiferensiasi menjadi
sel macrophage; :
menelan patogen atau
debris yg ada di jaringan,
Bertahan beberapabulan
Lymphocytes 1500-4000
20-30%
Bearada pd sistem
Limfatik, sebagai sel imun,
mengenali patogen
spesifik
Bertahan beberapa
tahun
Platelet 150.000-500.000 Hemostasis; berperan
dalam penjendalan darah
Dihasilkan dari
diferensiasi selmegakariotik;
bertahan beberapa
bulan
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Goals
To identify the cell type of the neo-plasticprocess.
Outline the cell lineage and maturation
Used in conjunction as an aide in theclassification of the leukaemia or lymphoma.
Monitor patients following therapy
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M n cl n l ntib d p n l
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Monoclonal antibody panels
Multiparameter immunofluorescence ispreferred
Panels should be designed to resolve normal as
well as malignant cells (normal cells act asinternal reference standards)
Brighter fluorochromes (eg, PE) used in
expected cases of low antigen expression
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Problems with mouse monoclonal antibodies
Mouse monoclonal antibodies are recognised by thehuman body as non-self.
Strong immune response is mounted and this is aproblem if prolonged treatment is needed.
Antibody is also rapidly removed from circulation; they
have a short half-life in the circulation.
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Fluorochromes
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Fluorochromes
Small Organic Molecules:FITC, Texas Red, Cy5, Cy5.5, Cy7
Fluorescent Proteins:
Phycoerythrin (PE), Allophycocyanin (APC), Peridinin
Chlorophyll Protein (PerCP)
Tandems:
PE-Texas Red (PE-TR), PE-Cy5, PE-Cy7, PerCP-Cy5.5,APC-Cy7
Acute Leukaemia; Two Step
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Strategy
Screening panel can consist of:
Non lineage; CD45, CD34,HLA-DR
T cell; CD2, CD3, CD7
B cell; CD10, CD19, CD20
Myeloid; CD13, CD33, CD117
Additional Abs to identify maturation, prognostic features or
aberrant phenotypes
Lymphoma / Chronic leukaemia
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panels
CD20/KAPPA/LAMBDA
CD10/CD19/CD5/CD23 CD20/CD103/CD25/CD11c
CD38/CD138/CD45/CD19/CD56
CD3/CD4/CD8
Case 2
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A 16-year old male was referred asa new leukemia. Peripheral blood
had a high WBC with 53%
promyelocytes. Sample was sentfor flow cytometry to role out M3
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Antigen prof i le: Positive for CD45, CD33, CD13,CD9 and cMPO. Negative for HLA-DR, CD117 and
CD34.
Diagnosis:Acute Myeloid Leukemia, FAB(M3)
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Looking at this case display you can tell that there is an abnormal population (green) that is v.bright CD45
brighter than normal lymphocytesand has a high side scatter. There is almost no normal lymphocyte in
this bone marrow specimen.
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Looking at this slide we learn more about the nature of these cells. We find that they are negative for
CD10,CD19,CD34,CD33,CD13 and positive for CD7. The later antibody CD7confirm the T cell lineage of the
abnormal cells.
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Again the abnormal cells continue to confirm its T-cell lineage; they are positive for CD56, CD5, partially CD1a
and negative for CD117 and CD64. Usually the expression of CD56 in leukemias is associated with worse
prognosis.
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The cytoplasmic staining of TdT and CD3 confirm the immature nature of the blasts.
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