PATH 381 - Module 4: Inborn Errors of Metabolism

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/96

encourage image

There's no tags or description

Looks like no tags are added yet.

Last updated 7:58 PM on 4/8/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai

No analytics yet

Send a link to your students to track their progress

97 Terms

1
New cards

newborn screening (NBS)

test done shortly after birth to test for treatable diseases that usually show no symptoms in newborn period

2
New cards

screening program

follows brain to brain loop, including:

- lab tests

- providing parents with info

- infant treatment

3
New cards

benefits of NBS

early detection = early treatment = better long-term health outcomes

4
New cards

NBS tests

test small amount of blood within first days of life

5
New cards

Consequences of NBS (or not performing it)

- cost of missing a disease is huge (in suffering, financial terms)

- if untreated, infants can get learning disabilities, serious health problems, and can die, sometimes without ever being diagnosed

6
New cards

NBS time of screening

shortly after 24h of birth

7
New cards

NBS detectable conditions

over 1 in 300 newborns have detectable condition through NBS

8
New cards

NBS health conditions when disease is caught

most babies with serious but treatable conditins caught by NBS grow up healthy with expected development

9
New cards

Criteria for Offering NBS (10)

1. condition is an important health problem

2. there is an accepted treatment

3. facilities for diagnosis and treatment are available

4. recognizable latent/early symptomatic stage

5. suitable test/examination

6. test should be acceptable to population

7. natural history of condition (development from latent-disease) should be well understood

8. agreed policy on whom to treat as patients

9. cost of case funding (diagnosis and treatment) should be economically balanced

10. case finding should be a continuing process, not 'once and for all' project

10
New cards

Ontario's NBS System (3 stages)

Upstream of Testing:

- baby born, blood sample taken to NSO (newborn screening ontario) office at CHEO (childrens hospital eastern ontario)

At CHEO:

- sample processed by clinical, lab, clerical staff

- other roles: data mangement, research, education, quality assurance

Downstream of Testing:

- communication with important health advisory committees

- test results reported back to submitters

- communication remains between submitters and treatment centers for further testing, diagnosis, treatment, education, rehab

11
New cards

NBS diseases screened in Ontario

1. metabolic diseases: dsieases where can't break down substances in food, eg. fats/proteins/sugars

2. critical congenital heart disease (CCHID): affects amount of oxygen in blood

3. sickle cell disease: affects movement of oxygen in blood

4. severe combined immune disease (SCID): affects ability to fight infections

5. endocrine diseases: too much/too little of certain hormones

6. spinal muscular atrophy (SMA): muscle weakness and wasting

7. cystic fibrosis (CF): problems with breathing and growth

12
New cards

role of healthcare providers in NBS

- ensure all babies offered NBS

- NOT MANDATORY, but strongly recommended for all infants

- must fully explain NBS to parents

- explain that it identifies babies who need more testing, does not provide a diagnosis

13
New cards

prevalence

proportion of population with condition at a specific point in time (point prevalence) or during period of time (period prevalence)

14
New cards

prevalence equation

prevalence =

(total # with disease) / (population # at risk for disease)

15
New cards

incidence

rate of new cases/events during specific time period for population at risk

16
New cards

incidence equation

incidence =

(new cases) / (population x timeframe)

17
New cards

how can inborn errors in metaboolism (IEM)s be screened?

1. tandem mass spectrometry (MS/MS)

2. immunoassay

18
New cards

MS/MS: detection and process

- detection of 25 metabolic disorders in single process

- used dried blood spot (DBS) specimens collected by heel prick from newborns

- can separate, detect, quantify biomarkers

19
New cards

detection of DBS using MS/MS

- sample collected via heel prick on Guthrie card

- then use organic solvents and separate analytes via liquid chromatography

20
New cards

MS/MS procedure (6)

1. electrospray: once DBS extracted, converted into charged particles using electrospray

2. MS-1: mix of components introduced to first mass spectrometer through electrospray and compounds separated by mass/charge ratio

3. collision cell: analyte ion of interest passes into chamber, fragmented to charged molecules of smaller size

4. MS-2: smaller ions pass into second mass spectrometer, programmed to detect select ion

5. detector: combined, gives specificity to selectively detect small molecule analytes in complex bio matrix of DBS

6. data analysis: data collected and analyzed electronically, tells you how much biomarker present

21
New cards

how is MS/MS so specific

- detects charged particles in narrow mass range

- fragments molecule of charged particle further

- detects fragments within narrow mass range

22
New cards

mass spectrometry screens for what 3 IEMs?

1. medium-chain acyl-coA dehydrogenase deficiency (MCADD)

2. phenylketonuria (PKU)

3. maple syrup urine disease (MSUD)

23
New cards

MCADD is what type of disorder

fatty acid oxidation disorder

24
New cards

MSUD is what type of disorder

branched-chain amino acid disorder

25
New cards

PKU is what type of disorder

amino acid disorder

26
New cards

fatty acid beta oxidation steps

1. Transport: Fatty acids enter the cell

2. Activation: FACS adds CoA→ fatty acyl-CoA

3. Carnitine translocase: acyl-CoA → acylcarnitine (to cross IMM) → back to acyl-CoA in mitochondria

4. β-oxidation: produces NADH, FADH₂, and acetyl-CoA

5. TCA + ETC: acetyl-CoA → ATP via NADH & FADH₂

27
New cards

what is MCADD?

- inherited disorder stopping body from breaking down certain fats and converting them into energy

- specifically a disorder of fatty acid oxidation

- can cause hypoglycemia

28
New cards

Medium-chain acyl-CoA dehydrogenase (MCAD)

flavoprotein required for first step in B-oxidation of medium-chain fatty acyl CoA to produce acetyl-coA (needed to make ATP, ketones)

29
New cards

MCAD deficiency (MCADD) biochemical pathology

no MCAD = no 𝛽-oxidation of medium-chain fatty acids = ↓ acetyl-CoA = ↓ketones, ↑medium-chain fatty acids = hypoketotic hypoglycemia

<p>no MCAD = no 𝛽-oxidation of medium-chain fatty acids = ↓ acetyl-CoA = ↓ketones, ↑medium-chain fatty acids = hypoketotic hypoglycemia</p>
30
New cards

MCADD Symptoms

- if untreated → hypoglycemia → seizures, breathing difficulties, coma, etc

- but can be avoided with nutritional approach

31
New cards

GI symptoms can cause what in MCADD

GI symptoms (lost appetite, vomiting, diarrhea) can cause metabolic crisis in MCADD

32
New cards

what are metabolic crises in MCADD

- accummulation of potentially toxic acylcarnitine

- hypoketotic hypoglycemia

- Reye syndrom like episodes (swelling of liver and brain)

- seizures

- brain damage

- death (if undetected, 20-25% die in first metab crisis)

33
New cards

MCADD screening method

- heel prick to take drops of blood shortly after birth

- screen positive = more tests needed to know if baby has MCADD (does not mean baby has MCADD)

34
New cards

MCADD treatment

- very effective at preventing metab crises = babies live normal lives

- must avoid caloric starvation (prevents need to use ketosis for energy)

- patient must adapt diet, especially during stressful events

35
New cards

MCADD follow-up testing

- elevation of medium-chain acyl carnitine values = positive results

- testing includes plasma acyl carnitine analysis, urine organic acid analysis, urine acylglycine analysis

36
New cards

false pos/false neg for carnitine testing

- false positives not common, but can be seen in term infants at appropriate gestational age

- false negatives in newborns with low free carnitines

(eg. born to mother with low carnitine, mothers with MCADD, etc)

37
New cards

Phenylketonuria (PKU)

rare amino acid disorder caused by a genetic mutation preventing body from breaking down phenylalanine (can be found in foods and aspartame) → if individual eats these foods, Phe builds up in blood

38
New cards

PKU Screening Test

- blood test given to newborns 24-74 h after birth

- PKU test to see if high levels Phe in blood

- if high levels, order more confirmatory tests

39
New cards

PKU: Consequences

- high levels Phe can permanently damage nervous system and brain

- can cause seizures, psychiatric problems, learning disability

40
New cards

PKU: management

if identified early and follow special, low-protein/low-Phe diet, can prevent complications for the rest of their life

41
New cards

Branched Chain Amino Acids (BCAAs)

- Leucine

- valine

- isoleucine

- allo-isoleucine

42
New cards

how are BCAAs usually metabolized

through processed catalyzed by branched-chain 2-ketoacid dehydrogenase (BCKDH) complex

43
New cards

Maple Syrup Urine Disease (MSUD)

- BCAA disorder: deficiency of BCKDH complex

- genetic metabolic disorder, usually caused by mutations in BCKDHA, BCKDHB, DBT

44
New cards

what happens in MSUD

due to metabolic block = build up high conc of BCAAs (leucine) and toxic keto-acids if not on BCAA-restricted diet and during increasd protein catabolism

45
New cards

MSUD: incidence

1 in 185,000

46
New cards

MSUD: symptoms

- maple syrup odor (sweet smell) in urine and ear wax

- failure to thrive (delay in weight gain/growth)

- developmental delays

- seizures

- movement problems

47
New cards

MSUD: diagnosis

- early diagnosis and management essential to prevent permanent brain damage

- NBS by MS/MS shows elevated BCAA in blood before encephelopathic symptoms (affecting brain)

48
New cards

MSUD: treatment

restrict leucine in diet, supplement with isoleucine and valine

49
New cards

immunoassays

analytical technique using antibody-antigen rxn to quantify amount of analyte in sample

50
New cards

why do immunoassays use antibodies?

- antibodies are antigen-specific

- immunoassays use this antibody-antigen relationship to identify specific molecules

- biomarker/analyte acts as the antigen

- use detection label attached to antibody to quantify results

<p>- antibodies are antigen-specific</p><p>- immunoassays use this antibody-antigen relationship to identify specific molecules</p><p>- biomarker/analyte acts as the antigen</p><p>- use detection label attached to antibody to quantify results</p>
51
New cards

enzyme-linked immunosorbent assay (ELISA)

- antibody/antigen immobilized on plate

- target molecule detected using one or more specific antibodies

- final antibody in the sequence is enzyme-linked, and the enzyme converts a substrate into a measurable colored product

52
New cards

3 types of ELISA

1. direct

2. indirect

3. sandwich

53
New cards

direct ELISA

antigen immobilized on bottom of plate and enzyme-linked antibody directly binds antigen

54
New cards

indirect ELISA

- antigen immbolized on plate

- primary antibody binds antigen

- secondary antibody (enzyme-linked) binds primary antibody

55
New cards

sandwich ELISA

1. primary/capture antibody immobilized on plate

2. antigen (target added) and binds antibodies

3. detectore/secondary antibody (enzyme-linked) binds antigen

4. substrate added → enzyme converts to coloured product

5. colour intensity = amount of antigen present

56
New cards

what do all ELISAs have in common?

the last antibody binding is always conjugated to an enzymatic label that confirms binding

57
New cards

non-competitive assays

- eg. sandwich immunoassay

- biomarker/analyte captured between 2 capturing sites

- secondary antibody has detection label

- no analyte = no signal

58
New cards

competitive assay

- known amount of labeled analyte competes with the unlabeled analyte in sample for same antibody-binding site

- After binding, unbound analyte washed away

- Only labeled analyte bound to antibody produces a signal:

so less signal = more unlabeled (patient) analyte.

Therefore:

More signal → less unknown analyte

Less signal → more unknown analyte

59
New cards

congential hypothyroidism (CH)

baby born with defective thyroid gland = deficient thyroid hormone

60
New cards

potential causes oh CH

- gland not developed properly (missing, wrong location, too small)

- or look healthy but not working properly

61
New cards

early signs/symptoms of CH (6)

- puffy face

- swelling around eyes

- poor feeding

- constipation

- jaundice

- soft spot on head slow to close

62
New cards

thyroid hormones are essential for...

- CNS development (especially in first 3 years)

- regulating metabolic rate

- controlling heart, muscle, digestion, bone maintenance

63
New cards

CH: screening

- screening can prevent developmental delayes/failure to thrive

- DBS collected by heel prick

- results analyzed using immunoassay measuring TSH in mIU/L blood vol

64
New cards

CH: diagnosis and treatment

- if diagnosed early, easily treated with daily oral thyroid meds (TH replacement)

- early treatment can prevent delayed milestones, intellectual impairment, poor growth, hearing loss

65
New cards

TSH Screening Cut-Offs for CH

- many programs use standard TSH screening cut-off in 20-30 mIU/L range (newborns below cut-off = negative for CH)

- other programs use 2 cut-offs: standard and lower threshole (eg. 6 mIU/L)

- second group is low risk but still has follow up thyroid function testing

66
New cards

why is there a TSH cut-off debate

- TSH falls quickly after birth (in first hours after delivery, TSH is VERY high, but decreases over the first few days) → age of sample collection affects what is "normal"

- different labs use diff TSH assays → diff sensitivity and reference ranges

67
New cards

what is the reference TSH versus what level TSH is considered a significant risk of CH?

reference: 1.7-9.1 mIU/L

high-risk: 17-19.9 mIU/L

68
New cards

what does NBS for CH measure?

1. thyroxine (T4)

2. thyroid-stimulating hormone (TSH)

3. T4-binding globulin (TBG)

69
New cards

what is the diagnosis of CH/primary hypothyroidism confirmed by? (2)

1. decreased serum thyroid hormone (total/free T4) levels

2. elevated TSH

70
New cards

3 screening strategies for detecting CH

1. TSH as primary measurement:

(backup T4 test in infants with high TSH)

2. T4 as primary measurement:

(backup TSH tests in infants with low T4)

3. simultaneous measurements:

(measure T4 and TSH together)

71
New cards

true and false positives, true and false negatives

true positives: number patients correctly identified by test having disease (done in relation to gold-standard diagnostic)

false positives: number pts incorrectly identified by test having disease

true negative: number patients correctly identified by test as NOT having disease

false negative: number patients INcorrectly identified by test as not having diseiase

72
New cards

what are 2 metrics that can characterize how likely it is for one to be healthy vs affected given a test result?

PPV (positive predictive value) and NPV (negative predictive value)

73
New cards

What is PPV?

- ratio of true positives to all positive tests (including false pos)

- predict how likely it is for someone to truly have disease in case of positive test result

74
New cards

PPV equation

PPV = True Pos / (True Pos + False Pos)

(TP / all pos tests)

75
New cards

What is NPV?

- ratio of true negatives to all negative results (including false neg)

- predict how likely for someone to be truly healthy in case of negative test result

76
New cards

NPV equation

NPV = True Neg / (True Neg + False Neg)

(TN / all neg tests)

77
New cards

What is sensitivity?

- proportion of true pos tests out of all patients with a condition

- ability of a test to yield positive result for someone with the disease

78
New cards

sensitivity equation

sensitivity = (true pos) / (true pos + false neg)

79
New cards

What is specificity?

- proportion of true negatives out of all patients withOUT condition (healthy)

- ability of test to accurately identify healthy individuals

80
New cards

specificity equation

specificity = (true neg) / (true neg + false pos)

81
New cards

likelihood ratios (LRs)

- how much a result changes probability of disease

- used to undnerstand utility of diagnostic tests

- use spec and sensitivity to see how likely it is pt has disease

82
New cards

what is positive LR (LR+)?

likelihood that pos test result would be expected in a person with disease compared to likelihood that pos test would be expected in someone without disease

(bigger LR+ = greater likelihood of disease)

83
New cards

LR+ equation

LR+ = sensitivity / (1-specificity)

84
New cards

what is negative LR (LR-)? (and equation)

likelihood that neg test is expected in someone with the disease compared to neg test expected in someone without disease (smaller LR- = lesser likelihood of disease)

LR- = (1-sensitivity) / specificity

85
New cards

What questions does each address? : Specificity/Sensitivity, PPV/NPV, LRs

specificity: is this test good at confirming a disease?

sensitivity: is this test good at confirming NO disease?

PPV: pt tested pos, what does this mean for pt?

NPV: pt tested neg, what does this mean for pt?

LR+: how much does the pos test result increase odds of having disease?

LR-: how much does neg result decrease odds of having disease?

86
New cards

what sensitivity/specificity metrics would be ideal in NBS? is this realistic?

- goal of NBS/any screening is to identify all with disease and exclude all without

- so ideal sens/spec would be 1.00

- hard to achieve this, and often compromise

87
New cards

compromise in NBS for test metrics

- hard to acheive a sens/spec of 1.00:

- compromise in setting cut-off values for pos and neg findings

- eg. sensitivity of 0.961 vs specificity 0.906 means test is better at ruling-IN a disease vs ruling-OUT

88
New cards

cut-off concentration levels

- used in NBS to determine which levels are considered healthy vs abnormal

- cut-off conctells clinician if marker conc indiciates high or low risk for a risease

- determining precise cut-off values very important and constantly re-evaluated

89
New cards

how are cut-off concentrations determined? (using DBS specimens) (6)

1. perform population study:

- test 100s-1000s of DBS samples from healthy (unaffected) newborns

- include manufactured controls (known normal/abnormal samples)

- test on every instrument that will be used clinically (accounts for inter-instrument variation)

2. analyze data:

- to determine if screen has good precision (reproducibility) and accuracy (closeness to true value)

- the test must clearly distinguish values near the cut-off (so borderline results are reliable)

3. set preliminary cut-off:

- use data to assign prelim cut-off by comparing healthy and positive specimen results collected

4. verify cut-off:

- use positive control specimens or residual DBS of a confirmed patient

5. compare cut-off:

- check that cut-off aligns with other labs using same assay and published literature

6. ongoing evaluation:

- NBS programs have standard operating procedure and regulatory requirements for establishing cut-off conc, that can be referred to and cited in situations where cut-off must be defended/changed

90
New cards

how can the range of those who have/don't have disease be represented?

population distribution

91
New cards

what scenarios are ideal vs realistic for population distributions? what does this mean?

ideal: large spread (no overlap) between 2 ranges

reality: there will be overlap, so must decide where in overlap you are going to place cut-off → based on what the test is used for

92
New cards

what would a high sensitivity cut-off be (on a population distribution)

- 99th percentile of diseased people (only 1% diseased missed = very low false neg = very high sensitivity)

- low specificity bc high false positives (ie. shaded region)

- good for an initial screening test to catch as many cases as possible, but must be followed up by confirmatory testing (to rule out false pos)

<p>- 99th percentile of diseased people (only 1% diseased missed = very low false neg = very high sensitivity)</p><p>- low specificity bc high false positives (ie. shaded region)</p><p>- good for an initial screening test to catch as many cases as possible, but must be followed up by confirmatory testing (to rule out false pos)</p>
93
New cards

what would a high specificity cut-off be (on a population distribution)

99th percentile of healthy people (only 1% healthy people missed = very low false pos = high SPECificity))

- low sensitivity bc high false neg

- good for confirmatory testing but NOT for screening

<p>99th percentile of healthy people (only 1% healthy people missed = very low false pos = high SPECificity))</p><p>- low sensitivity bc high false neg</p><p>- good for confirmatory testing but NOT for screening</p>
94
New cards

what would balancing sensitivity/specificity look like on a population distribution? what does this mean? what would this test be good for?

- cut-off in middle of overlap = similar rates of false neg and false pos = compromise between catching the disease and false alarms

- used when balancing risks is appropriate

<p>- cut-off in middle of overlap = similar rates of false neg and false pos = compromise between catching the disease and false alarms</p><p>- used when balancing risks is appropriate</p>
95
New cards

5 considerations when setting cut-off concentrations (influencing factors)

1. prevalence and severity of disease in population

2. factors impacted by biologial variation related to disease prevalence

3. environmental factors (temp, altitude) affecting screening/testing

4. dif in way test is performed (methodology)

5. other factors unique to the lab and its equipment

96
New cards

collaborative laboratory integrated reports (CLIR)

- extra risk assessment by comparing NBS results to large, adjusted reference and disease databases

- uses scoring scale and multivariate pattern recognition software to see how closely baby's analyte pattern matches disease profile

= refines cut-offs and reduces false positives

97
New cards

Uses of CLIR (5)

- analyze new screening results in real time

- identify which analytes/ratios are most useful for detecting a disorder

- reduce false positives

- compare results across different labs

- distinguish between similar disorders (better differential diagnosis)