Food Protection Trends - November/December 2017 - 431

particular in the field of environmental toxicity, effect-based
approaches on entire organisms, such as the zebrafish (8)
or certain algae (20), are pursued. An example of a cell
culture-based biological test system, outlined in detail in
previous overview articles on the status of effect-based
analytics (5, 6), is the CALUX (Chemical-Activated
Luciferase Gene Expression) assay. This test is based on the
specific binding of dibenzodioxins and similar substances to
the aryl hydrocarbon receptor which, as a ligand-activated
transcription factor, subsequently initiates the transcription
of a firefly-derived luciferase reporter gene that is controlled
by an aryl hydrocarbon receptor-responsive promoter
region. Comparable reporter gene-based test systems
already exist for various hormonal effects mediated via
androgen or estrogen receptors (20). The reporter genes
used here can be integrated in a stable manner into the
genome of a permanent mammalian cell line (Fig. 1A).
There is currently a legal requirement in food control
to conduct an analytical identification of the substance
responsible for a positive finding in an effect-driven test
system. Accordingly, effect-based approaches are currently
used primarily as screening methods to identify in a large
number of samples those that are to be subsequently
examined by means of classic analytics for the presence of
specific substances known to be toxicologically relevant.
A "positive" finding in an effect-based sytem therefore
involves the identification of substances by use of classic
analytical methods, which can be complex and timeconsuming. A tiered procedure of this kind involving effectbased screening followed by chemical analytics proved its
value in the last dioxin crisis, where it was necessary to test
a large number of samples within a short time (see also
(6)). Repeated cycles of sample fractioning and the use
of effect-based test systems prior to chemical-analytical
substance identification can help to limit the chemical
complexity of a sample (3).
For this reason, a decisive boost for the further
distribution and application of effect-based methods in
the field of food and feed control could in the future lie in
departing, at least partially, from the principle used now.
For example, assuming the availability of appropriately
validated effect-based methods, which enable not only
the qualitative detection but also the quantifiability of a
certain biological effect with sufficient precision, the mere
detection of a biological effect above a certain potency, to
be defined individually for each biological test system and
which would assume the function of a limit value in classic
chemical analytics, could be recognized as sufficient for
any decisions to be made or consequences to be drawn.
This would be desirable, especially in view of the fact that
some toxicologically relevant xenobiotic-binding nuclear
receptors bind substances that are hardly related from a
chemical point of view (an aspect to be dealt with in more
detail later in the text). This lack of chemical similarity

could lead to difficulties in the subsequent search for a
specific individual substance causing the effect at such a
promiscuous receptor.
The current state of using luciferase reporter systems
for effect-centered analysis in food control is limited to
individual endpoints such as that addressed by the CALUX
assay. This present state of effect-based analytics has been
the focus of a previous paper in this journal (5). The
aim of this paper, however, is to sketch potential future
development of existing techniques applied in effect-based
analytics and to present novel approaches focused on the
detection of transcriptional alterations of endogenous
cellular gene transcription that appear promising for
future application in effect-based analytics. This will be
done in the following paragraphs, starting with possible
further developments of luciferase-based methodologies
and their possible limitations, and then continuing with
the use of single transcript markers and transcriptomic
signatures. This manuscript thereby reaches far beyond
previously published work in the field, including our own
previous paper (5), thus making this work interesting for
experimental researchers and method developers, as well as
for readers who are concerned with food surveillance and
regulatory issues.
Further development through establishment of a
reporter gene test battery
In principle, a large number of different cellular effects
or mechanisms of action can be recorded through effectbased test systems based on reporter assays of this kind.
Reporter gene systems allow the precise quantification
of the examined biological effect and enable the easy
establishment of dose-response relationships, which does
not automatically apply to the same extent to every other
effect-based system. Established and well-characterized
reporter systems are available in the meantime, in
particular for a panel of nuclear receptors, which function
as ligand-activated transcription factors and are known to
constitute important molecular switchpoints with many
toxicologically-relevant processes, as well as for numerous
transcription factors acting downstream of important
cellular signaling pathways. These assays could be prepared
for use in routine analysis in validation studies. At the end
of a development of this kind, a battery of reporter gene
test systems that would be suitable for recording a large
number of different, toxicologically relevant signals could
be available (Fig. 1B). Various reporter gene systems are
available (firefly luciferase, Gaussia luciferase, Renilla
luciferase, fluorescent proteins such as GFP), which differ
in their substrates, reaction conditions and detection and
which can, therefore, be used simultaneously for detection
of several endpoints in a single biological system, for
example in the classic "dual luciferase test" in which two
luciferases with different substrate specificities and reaction

November/December Food Protection Trends

431



Table of Contents for the Digital Edition of Food Protection Trends - November/December 2017

The Cleanliness of Resusable Water Bottles: How Contamination Levels are Affected by Bottle Usage and Cleaning Behaviors of Bottle Owners
Impact of Carcass Anatomical Location on the Microbiological Profile of Beef Trimmings
Thermal Processing Parameters to Ensure a 5-log Reduction of Escherichia coli O157:H7, Salmonella enterica, and Listeria monocytogenes in Acidified Tomato-based Foods
Experimental Evaluation of Performance of Sampling Techniques for Microbiological Quantification on Carcass Services
Effect-based Analytics for Toxicological Screening - Concepts for Future Developments
Beyond the Bio - John Luchansky
PDF Highlight - Food Chemical Hazards and Food Allergy PDG
IAFP 2017 In Review
Industry Products
Coming Events
Food Protection Trends - November/December 2017 - Cover1
Food Protection Trends - November/December 2017 - Cover2
Food Protection Trends - November/December 2017 - 385
Food Protection Trends - November/December 2017 - 386
Food Protection Trends - November/December 2017 - 387
Food Protection Trends - November/December 2017 - 388
Food Protection Trends - November/December 2017 - 389
Food Protection Trends - November/December 2017 - 390
Food Protection Trends - November/December 2017 - 391
Food Protection Trends - November/December 2017 - The Cleanliness of Resusable Water Bottles: How Contamination Levels are Affected by Bottle Usage and Cleaning Behaviors of Bottle Owners
Food Protection Trends - November/December 2017 - 393
Food Protection Trends - November/December 2017 - 394
Food Protection Trends - November/December 2017 - 395
Food Protection Trends - November/December 2017 - 396
Food Protection Trends - November/December 2017 - 397
Food Protection Trends - November/December 2017 - 398
Food Protection Trends - November/December 2017 - 399
Food Protection Trends - November/December 2017 - 400
Food Protection Trends - November/December 2017 - 401
Food Protection Trends - November/December 2017 - 402
Food Protection Trends - November/December 2017 - Impact of Carcass Anatomical Location on the Microbiological Profile of Beef Trimmings
Food Protection Trends - November/December 2017 - 404
Food Protection Trends - November/December 2017 - 405
Food Protection Trends - November/December 2017 - 406
Food Protection Trends - November/December 2017 - 407
Food Protection Trends - November/December 2017 - 408
Food Protection Trends - November/December 2017 - Thermal Processing Parameters to Ensure a 5-log Reduction of Escherichia coli O157:H7, Salmonella enterica, and Listeria monocytogenes in Acidified Tomato-based Foods
Food Protection Trends - November/December 2017 - 410
Food Protection Trends - November/December 2017 - 411
Food Protection Trends - November/December 2017 - 412
Food Protection Trends - November/December 2017 - 413
Food Protection Trends - November/December 2017 - 414
Food Protection Trends - November/December 2017 - 415
Food Protection Trends - November/December 2017 - 416
Food Protection Trends - November/December 2017 - 417
Food Protection Trends - November/December 2017 - 418
Food Protection Trends - November/December 2017 - Experimental Evaluation of Performance of Sampling Techniques for Microbiological Quantification on Carcass Services
Food Protection Trends - November/December 2017 - 420
Food Protection Trends - November/December 2017 - 421
Food Protection Trends - November/December 2017 - 422
Food Protection Trends - November/December 2017 - 423
Food Protection Trends - November/December 2017 - 424
Food Protection Trends - November/December 2017 - 425
Food Protection Trends - November/December 2017 - 426
Food Protection Trends - November/December 2017 - 427
Food Protection Trends - November/December 2017 - 428
Food Protection Trends - November/December 2017 - 429
Food Protection Trends - November/December 2017 - Effect-based Analytics for Toxicological Screening - Concepts for Future Developments
Food Protection Trends - November/December 2017 - 431
Food Protection Trends - November/December 2017 - 432
Food Protection Trends - November/December 2017 - 433
Food Protection Trends - November/December 2017 - 434
Food Protection Trends - November/December 2017 - 435
Food Protection Trends - November/December 2017 - 436
Food Protection Trends - November/December 2017 - 437
Food Protection Trends - November/December 2017 - Beyond the Bio - John Luchansky
Food Protection Trends - November/December 2017 - 439
Food Protection Trends - November/December 2017 - 440
Food Protection Trends - November/December 2017 - PDF Highlight - Food Chemical Hazards and Food Allergy PDG
Food Protection Trends - November/December 2017 - 442
Food Protection Trends - November/December 2017 - 443
Food Protection Trends - November/December 2017 - 444
Food Protection Trends - November/December 2017 - IAFP 2017 In Review
Food Protection Trends - November/December 2017 - 446
Food Protection Trends - November/December 2017 - 447
Food Protection Trends - November/December 2017 - 448
Food Protection Trends - November/December 2017 - 449
Food Protection Trends - November/December 2017 - 450
Food Protection Trends - November/December 2017 - 451
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Food Protection Trends - November/December 2017 - 453
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Food Protection Trends - November/December 2017 - 457
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Food Protection Trends - November/December 2017 - 459
Food Protection Trends - November/December 2017 - 460
Food Protection Trends - November/December 2017 - 461
Food Protection Trends - November/December 2017 - 462
Food Protection Trends - November/December 2017 - 463
Food Protection Trends - November/December 2017 - 464
Food Protection Trends - November/December 2017 - 465
Food Protection Trends - November/December 2017 - 466
Food Protection Trends - November/December 2017 - 467
Food Protection Trends - November/December 2017 - 468
Food Protection Trends - November/December 2017 - 469
Food Protection Trends - November/December 2017 - 470
Food Protection Trends - November/December 2017 - 471
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Food Protection Trends - November/December 2017 - 475
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Food Protection Trends - November/December 2017 - 477
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Food Protection Trends - November/December 2017 - 479
Food Protection Trends - November/December 2017 - 480
Food Protection Trends - November/December 2017 - 481
Food Protection Trends - November/December 2017 - 482
Food Protection Trends - November/December 2017 - 483
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Food Protection Trends - November/December 2017 - 486
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Food Protection Trends - November/December 2017 - 488
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Food Protection Trends - November/December 2017 - 496
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Food Protection Trends - November/December 2017 - 498
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Food Protection Trends - November/December 2017 - 500
Food Protection Trends - November/December 2017 - 501
Food Protection Trends - November/December 2017 - 502
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Food Protection Trends - November/December 2017 - 505
Food Protection Trends - November/December 2017 - 506
Food Protection Trends - November/December 2017 - 507
Food Protection Trends - November/December 2017 - 508
Food Protection Trends - November/December 2017 - 509
Food Protection Trends - November/December 2017 - 510
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Food Protection Trends - November/December 2017 - 530
Food Protection Trends - November/December 2017 - 531
Food Protection Trends - November/December 2017 - 532
Food Protection Trends - November/December 2017 - 533
Food Protection Trends - November/December 2017 - Industry Products
Food Protection Trends - November/December 2017 - 535
Food Protection Trends - November/December 2017 - 536
Food Protection Trends - November/December 2017 - 537
Food Protection Trends - November/December 2017 - 538
Food Protection Trends - November/December 2017 - 539
Food Protection Trends - November/December 2017 - 540
Food Protection Trends - November/December 2017 - 541
Food Protection Trends - November/December 2017 - 542
Food Protection Trends - November/December 2017 - 543
Food Protection Trends - November/December 2017 - Coming Events
Food Protection Trends - November/December 2017 - Cover3
Food Protection Trends - November/December 2017 - Cover4
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