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Grains, Immunogenicity, and Gluten Strength: Genetic Bases and Applied Markers

by luciano

(In-depth article 4 of: Genetic potential and processing conditions in determining gluten strength, digestibility, and immunogenicity)

When creating a new wheat cultivar, breeders aim to obtain strong wheats.

In breeding, this becomes central because:

  • if you want to increase the probability of obtaining “strong” lines, you select parents with favorable alleles/subunits;

  • then, in the progeny, you use rapid tests (and increasingly molecular markers / rapid proteomics) to choose the best lines.

Clear examples:

  • Near-isogenic lines (NILs) or lines with targeted deletions: these are specifically used to isolate the effect of a single HMW-GS on dough strength/elasticity. A recent study shows that the absence of individual HMW-GS reduces elasticity/strength and alters alveographic parameters. (ScienceDirect)

  • Studies on populations (DH lines) comparing combinations of HMW-GS and their effect on quality traits: they show that the effect is not only “presence/absence,” but also depends on interactions among subunits. (PLOS)

  • Accelerated screening of breeding lines with rapid gluten-strength tests: useful because breeding programs must evaluate thousands of samples. (MDPI)

Wheats with lower genetic potential but greater ability to create new bonds.

The “genetic potential” (subunits, cysteines, fraction ratios) sets an upper limit: if certain structural components are missing, you cannot build a large network from nothing.
However, the “capacity to express” that potential also depends on factors that vary among varieties and lots: accessibility of reactive groups, thiol–disulfide exchange kinetics, initial distribution of polymeric fractions, etc.
This is why, in practice, proxies such as GMP and polymeric fraction analyses are also used to understand how much the network actually develops. (ResearchGate)

These biological differences translate into the possibility of using specific genetic and proteomic markers as predictive tools.

Comparative Table – Markers and Tests for Bread vs. Pasta

Practical markers (also usable in professional contexts)

1) HMW-GS profile at Glu-1 loci (Glu-A1 / Glu-B1 / Glu-D1)

  • What it is: which HMW-GS subunits are present (e.g., at Glu-D1: 5+10 vs 2+12).

  • Why it matters: some combinations are repeatedly associated with better rheological and baking properties; in particular, allele 5+10 (Glu-D1d) and 17+18 (Glu-B1i) are often reported among the most “effective.” (PMC)

  • How it is measured (practical): SDS-PAGE; in screening contexts also MALDI-TOF. (PMC)

2) “Polymeric vs monomeric” ratio (P/M) or proportion of high-MW polymers (SE-HPLC / extractability)

  • What it is: how much protein is in polymeric form (glutenins, especially high MW) relative to smaller/monomeric fractions.

  • Why it matters: higher polymeric fraction (and especially large polymers) → greater potential elastic “framework.”

  • How it is measured: SE-HPLC (size distribution) or extractability proxies (SDS-soluble vs SDS-insoluble).

3) GMP / UPP (glutenin macropolymer; unextractable polymeric protein)

  • What it is: fraction of very large polymers (often SDS-insoluble) considered tightly linked to network strength.

  • Why it matters: one of the most widely used proxies for “how much polymeric network” can be built and expressed.

4) Free thiol (–SH) content and redox state

  • What it is: how many –SH groups are free (and therefore potentially involved in thiol–disulfide exchange).

  • Why it matters: it does not indicate “how high W will be,” but helps explain disulfide reorganization dynamics (expressibility of potential), i.e., how easily the network can remodel.

Documented examples

A) Example (bread): cultivars named in a study with moderate-to-strong gluten

A study on Indian varieties combining markers and rheological evaluations reports that only four varieties among those analyzed combined high protein content and moderately strong gluten: K307, DBW39, NI5439, DBW17. (PMC)
Note: this is a “named” example within a specific study (useful as proof that literature lists cultivars), but obviously relative to the germplasm and context of that work.

B) Example (Italy, durum): named varieties and differences in composition (glutenins/gliadins)

In a study on durum wheat genotypes, varieties such as Svevo and Saragolla are reported (higher in glutenins and lower in gliadins in the considered set) and Cappelli shows opposite behavior in the reported comparison. (doi.org).

This type of evidence links starting composition (fraction ratios) to a potentially more or less favorable profile for “strong gluten.”

C) Example (Italy, durum): technological quality and W in “old cultivars”

A study evaluates “historical” durum cultivars with technological measurements including W (alveograph) to discuss whether the quality of old cultivars is comparable to modern ones. (PMC)
(The study is useful because it shows that the question “which cultivars have high W” is addressed experimentally on real varietal sets.)

Existing “strong” cultivars and new ones

  • Screening of existing cultivars: HMW-GS genotyping/profiling and measurement of rheology or polymeric proxies. (PMC)

  • Breeding (hybridization/new lines): the same scheme is used as a selection criterion, but it does not originate “only” there. (PMC)

SOFT wheats (bread) — cultivars with HMW-GS profiles associated with high quality

Examples from studies on glutenin alleles and profiles associated with quality traits (mainly for bread) (ResearchGate)

Cultivar/Genotipo

Combinazione HMW-GS Glu-1

Nota sul potenziale di qualità

Fonte

Genotipo con “1, 7+9, 5+10”

1 (Glu-A1), 7+9 (Glu-B1), 5+10 (Glu-D1)

Combinazione associata a migliori qualità di grano (contenuto proteico, WGC ecc.)

Wang et al. (2024) (MDPI)

Genotipo con “1, 7, 5+10”

1, 7, 5+10

Effetti positivi su parametri qualitativi del grano

Wang et al. (2024) (MDPI)

Genotipo con “1, 14+15, 2+12”

1, 14+15, 2+12

Buone correlate a qualità (proteine, WGC)

Wang et al. (2024) (MDPI)

Genotipo con “1, 6+8, 5+10”

1, 6+8, 5+10

Correlazione positiva con qualità

Wang et al. (2024) (MDPI)

GW-273

profilo HMW-GS non esplicitato

Glu-1 score alto (10/10), indicativo di superiori caratteristiche di impasto per pane

Patil (2015) (Tandfonline)

GW-322

profilo HMW-GS non esplicitato

Glu-1 score elevato (10/10)

Patil (2015) (Tandfonline)

What do these data indicate?

  • HMW-GS allele combinations with 5+10 and certain Glu-B1 variants (such as 7+9, 14+15) are frequently associated with better qualitative parameters (e.g., WGC, dough performance) in studies on many soft wheat genotypes.

  • Some genotypes have very high “Glu-1 scores” (≈ 9–10), a phenomenon correlated with higher genetic potential for strong gluten quality. (ResearchGate)

DURUM wheats (pasta / durum bread) — examples and considerations (protein profile and quality)

For durum wheat (Triticum durum), the literature is more variable and often focuses on local collections or genetic variability rather than on specific cultivar names “classified by gluten quality.” However, useful documentation exists on glutenin allelic profiles in durum lines and their relationship with quality traits (including uses other than pasta). (Springer Nature Link)

Creso (historical Italian durum wheat cultivar)
Cultivar obtained in the 1970s through mutagenesis and selection, widely used as a parent in breeding programs to combine yield, adaptation, and technological quality.

Scientific references:

  • De Vita, P., et al. (2007). Genetic improvement effects on yield stability in durum wheat cultivars grown in Italy. Euphytica.

  • De Vita, P., et al. (2010). Effects of genetic improvement on protein content and gluten quality in durum wheat grown in Italy. European Journal of Agronomy.

  • Laidò, G., et al. (2013). Genetic diversity and population structure of durum wheat (Triticum durum) landraces and cultivars using SSR markers. Genetic Resources and Crop Evolution.

Why relevant here:

Creso often appears as a parent or reference in studies analyzing progressive improvement of parameters such as protein content, gluten index, and dough characteristics, showing how breeding has increased technological quality in durum wheat.

Simeto (modern Italian durum wheat cultivar)

Variety selected in Italy and widely cultivated, used as a reference for good semolina quality and balanced technological performance.

Scientific references:

  • De Vita, P., et al. (2007). Euphytica.

  • Troccoli, A., et al. (2000). Variation in grain quality traits among durum wheat cultivars grown in southern Italy. Cereal Chemistry.

  • Ficco, D. B. M., et al. (2014). Genetic variability in quality traits of durum wheat for pasta making. Journal of Cereal Science.

Why relevant here:

Simeto is frequently included in comparisons among modern cultivars, showing good levels of protein, gluten index, and semolina quality, parameters that can also be linked to glutenin composition.

Varietà / linea (durum)

Nota qualitativa / genotipica

Fonte

Varietà marocchine (Henkrar et al.)

Diverse combinazioni alleliche HMW-GS correlate a qualità di trasformazione

Henkrar et al., 2017

Isly, Massa, Anouar, Sboula, Chaoui

Profili variabili di glutenine HMW

Henkrar et al., 2017

Creso

Cultivar storica, genitore chiave nel breeding italiano; miglioramento progressivo di proteine e qualità glutine

De Vita et al., 2007; De Vita et al., 2010

Simeto

Cultivar moderna, buona qualità semola/pasta; riferimento in studi su qualità tecnologica

Troccoli et al., 2000; Ficco et al., 2014

In durum wheats, the association between glutenin allelic profile, protein composition, and technological quality is documented mainly through comparative studies on varietal collections and reference cultivars such as Creso and Simeto. This allows these cultivars to be used as scientific benchmarks, not merely as commercial names.

Important note on gluten quality in durum wheat:

For durum wheat, superior technological quality is not always defined by the same “strength” parameters used for bread (W, alveograph); often the focus is on viscoelasticity, tenacity, extensibility, and ability to form semolina/pasta. Nevertheless, the presence of certain HMW-GS combinations (also in tetraploids) has been documented and correlated with grain quality (total proteins, glutenin content, etc.). (Springer Nature Link)

What these examples tell us

✅ In soft wheats, certain HMW-GS profiles combined with specific subunits (e.g., 5+10 and Glu-B1 variants) are scientifically associated with better gluten quality parameters (and thus higher genetic potential). (MDPI)

✅ Some genotypes (such as GW-273 and GW-322) show very high quality scores, used as reference examples in technical publications. (Tandfonline)
✅ In durum wheats, the literature often includes lists of cultivars/lines with glutenin allelic profiles, useful for breeding and for correlating genetic profiles with quality (even if data are not always reported with standardized “commercial” names). (Springer Nature Link)

The Meaning of Flour Strength “W” Value

by luciano

(Insight 3 of Genetic Potential and Process Conditions in Determining Gluten Strength, Digestibility, and Immunogenicity)

The W value does not directly reflect the number or strength of the intrinsic bonds of wheat proteins, but rather represents a functional measure of the resistance of the protein network formed during dough mixing.
This network is the result of the interaction between genetic polymerization potential and the ability of proteins to reorganize and establish new intermolecular bonds under processing conditions.

Does the W value measure the “strength of wheat proteins”?
No.

The W value (Chopin alveograph) measures the energy required to deform and rupture a dough bubble, therefore describing the mechanical resistance of the protein network formed after hydration and mixing. It does not directly measure either the structure of individual proteins or the strength of their internal bonds.

Does the W value represent the strength of bonds present in gliadins and glutenins in the grain?
No.

In the grain, gliadins mainly contain intramolecular disulfide bonds, while glutenins are partially polymerized through intermolecular disulfide bonds. However, these bonds mainly stabilize individual molecules or small aggregates and do not correspond to the network responsible for dough strength.

Functional gluten is built mainly during mixing.

So what does the W value really reflect?
The W value reflects the overall resistance of the protein network formed during mixing, namely:

1 – how much network has been built
2 – how continuous the network is
3 – how capable it is of opposing deformation
In other words, W is a functional measure of the network, not a chemical measure of bonds.

How does wheat genetics influence W?
Genetic makeup influences:

1 – type and quantity of glutenin subunits
2 – number and position of cysteine residues
3 – glutenin/gliadin ratio
These factors determine polymerization potential, i.e., the theoretical ability of proteins to participate in forming intermolecular bonds during mixing. Thus, genotype establishes how large and complex the network can become, not how large it already is in the grain.

Does W depend only on genetic potential?
No.

W depends both on genetic potential and on the ability of proteins to reorganize and create new bonds during mixing.

This ability is influenced by:

1 – mobility of protein chains
2 – accessibility of reactive groups
3 – rate of thiol–disulfide exchange
4 – hydration, mechanical energy, temperature, and redox conditions
Two wheats with similar genetic potential may therefore develop networks of different strength.

Can a wheat with lower genetic potential develop a higher W?
Yes, within limits.

A wheat with fewer theoretical cross-linking sites but more mobile and reactive proteins may exploit its potential better and form a more efficient network than a wheat with higher theoretical potential but poor utilization of that potential.

Is there a maximum limit to this compensation?
Yes.

A wheat poor in polymerizable glutenins will never reach the W values typical of strong wheats, even under ideal processing conditions. Genetic potential therefore imposes an upper ceiling, while the process determines how close one comes to that ceiling.

Can W be said to measure the “number of bonds”?
No.

W does not measure the number of bonds, but the collective mechanical effect of the network that those bonds help stabilize.

✅ Conclusion
The W value does not reflect either the strength of internal bonds in gliadins and glutenins or the number of bonds present in the grain. It represents a functional measure of the resistance of the protein network that forms during mixing.

This network results from the interaction between:

1 – genetic polymerization potential (what can be built)
2 – capacity for reorganization and new bond formation under processing conditions (what is actually built)
In summary:

✔ What matters most is the network that forms in gluten
✔ But this network is limited by what exists at the origin

In-Depth
What Determines the Genetic Starting Potential of Wheat
The genetic starting potential of a wheat, understood as the intrinsic capacity of its proteins to form an extended and structurally effective gluten network, is mainly determined by the composition and molecular organization of storage proteins. Four factors play a central role.

1 – Type of HMW-GS and LMW-GS Subunits
High-molecular-weight glutenin subunits (HMW-GS) form the main backbone of glutenin polymers. Different allelic variants encode subunits with different length, conformation, and number of cysteine residues.

Some subunits promote longer and more branched chains, while others lead to shorter polymers. Consequently, the type of HMW-GS present directly influences the ability to build a continuous elastic framework.

Low-molecular-weight glutenin subunits (LMW-GS) play a complementary role, acting as connectors and branching points between main chains. The HMW-GS/LMW-GS combination therefore defines the basic polymer architecture.

Impact on potential: determines the load-bearing structure of the network.

2 – Number and Position of Cysteines
Cysteine residues are the chemical sites through which disulfide bonds form.

Not only how many cysteines are present matters, but also where they are located in the protein sequence. Cysteines in exposed regions favor intermolecular bonding, while cysteines in sterically shielded regions tend to form intramolecular bonds.

Impact on potential: defines how many connection points are theoretically available to build the network.

3 – Glutenin/Gliadin Ratio
Glutenins mainly provide elasticity and strength, whereas gliadins mainly contribute viscosity and extensibility. A ratio shifted toward glutenins favors stronger networks; a relative excess of gliadins tends to dilute network continuity.

Impact on potential: determines how much “scaffolding” versus “fluid phase” is available.

4 – Polymer Size Distribution
Even in flour, glutenin polymers exist in a size distribution. Some wheats show a higher proportion of very large polymers (often called glutenin macropolymer, GMP). An initial distribution oriented toward larger polymers favors formation of a continuous network during mixing.

Impact on potential: indicates the level of pre-organization toward extended structures.

Summary
Genetic starting potential does not correspond to the number of bonds already present in the grain, but to the intrinsic capacity of proteins to participate in building an extended network during mixing.

It is mainly determined by:

✔ Type of HMW-GS and LMW-GS subunits
✔ Number and position of cysteines
✔ Glutenin/gliadin ratio
✔ Polymer size distribution

These factors define what is chemically and structurally possible. Processing conditions determine how much of this potential will actually be expressed in the final gluten network.

4

4

Sugars and Proteins in Gastric Digestion

by luciano

 

A high intake of refined sugars, especially when highly concentrated or in liquid form, sometimes consumed together with protein-rich meals, may under certain conditions contribute to rapid gastric emptying. This condition often leads to diarrhea, nausea, and abdominal cramps. In addition, a high intake of sugars can alter the gut microbiota (dysbiosis) and, over time, compromise the intestinal barrier.

Rapid gastric emptying (Dumping):

Sugars and high–glycemic index foods can trigger a rapid emptying of gastric contents into the small intestine.

Impaired digestion:

Rapid transit prevents proper breakdown of food, allowing incompletely digested food and nutrients to reach the small intestine, with possible subsequent bacterial fermentation.

Alterations of the gut microbiota:

Excess sugar can modify the intestinal microbiome and damage the intestinal barrier.

Increase in inflammation:

The combination of undigested food, fermentation, and a compromised intestinal barrier can promote local and systemic inflammation.

Symptoms:
This process often manifests with diarrhea, discomfort, and bloating.

Properly managing nutrition by avoiding excessive gastric overload with high-sugar foods is essential for maintaining good digestive health.

Both proteins and sugars (especially at high concentrations) significantly slow gastric emptying, i.e., the process by which food leaves the stomach and enters the small intestine. Proteins are particularly effective in slowing this process, contributing to glycemic control and increased satiety.

Key Details on Gastric Emptying

Impact of proteins:

Proteins are known to slow gastric emptying, often by stimulating intestinal hormones such as CCK and GLP-1, which inhibit gastric motility.

Impact of sugars/carbohydrates:

High concentrations of sugar (glucose) are powerful in slowing gastric emptying, helping prevent rapid influxes of large volumes of content into the small intestine.

Meal combination:

Combining proteins and carbohydrates (as in the case of dessert) results in more stable and slower digestion compared to consuming sugar alone.

Mechanism:
The presence of nutrients (proteins, fats, and sugars) in the duodenum activates feedback mechanisms that signal the stomach to empty more slowly.

Therefore, the consumption of proteins or sugars (such as in dessert) induces the stomach to retain food longer, resulting in a more gradual release of glucose into the bloodstream.

The “Dessert Stomach” Phenomenon

The “dessert stomach” phenomenon—the feeling of being full but still having room for dessert—is determined by sensory-specific satiety (feeling full only for one type of food) and by a physiological relaxation reflex that creates space in the stomach. When the palate is tired of savory flavors, the brain seeks sugar to feel satisfied, allowing a small indulgent portion to appear as the perfect conclusion to the meal.

Main reasons for this sensation include:

Sensory-specific satiety:

One feels “full” of savory foods, but the sensory desire for sweet/fatty or energy-dense foods persists, allowing further eating.

Physical relaxation reflex:

Upon tasting sweet or pleasant foods, the brain signals stomach muscles to relax, literally creating space for dessert.

Brain reward circuits:

Sugar stimulates dopamine release, pushing the brain to override satiety signals in order to obtain gratification.

Delay in satiety signals:

Satiety hormones take 20–40 minutes to fully exert their effects. Dessert often arrives before the brain has completely registered that the main meal was sufficient.

Faster digestion:

Sugary foods often pass through the stomach faster than proteins or fats, making a small portion feel less “heavy” and more like a simple “filler.”

How to Interpret These Apparently Contradictory Statements

✅ 1. Under normal conditions: proteins and carbohydrates slow gastric emptying

This part is correct:

  • Proteins → stimulate intestinal hormones (CCK, GLP-1, PYY)

  • Carbohydrates → especially if complex or in moderate amounts

Result → the stomach slows emptying.

This is a physiological protective mechanism:

The stomach tries to avoid large amounts of nutrients arriving all at once in the small intestine.

Therefore:

  • Mixed meal (proteins + carbohydrates)

  • More gradual digestion

  • More stable blood glucose

  • Greater satiety

This is standard behavior in healthy individuals.

⚠️ 2. Under particular conditions: high-osmolarity sugars may favor rapid emptying

This part is correct.

Proteins stimulate intestinal hormones such as CCK, GLP-1, and PYY.
Carbohydrates—especially when complex and consumed in moderate amounts—also activate regulatory mechanisms that slow gastric emptying.

The result is a physiological protective response:
the stomach limits the speed at which nutrients are delivered to the small intestine in order to optimize digestion and absorption.

Therefore, a mixed meal containing proteins and carbohydrates typically leads to:

  • More gradual digestion

  • More stable blood glucose levels

  • Greater and longer-lasting satiety

This represents standard physiological behavior in healthy individuals.

gh-osmolarity sugars may favor dumping

The first statement refers to a pathological or para-physiological phenomenon, typical especially when:

  • Sugars are very concentrated

  • In liquid or semi-liquid form

  • In large quantities

  • Sometimes after gastric surgery

  • Or in individuals with intestinal sensitivity

Here the problem is not “sugar slows or accelerates,” but rather:

Highly concentrated sugar solutions create a strong osmotic gradient.

This can:

  • Partly override normal slowing mechanisms

  • Favor rapid passage of hyperosmolar contents into the intestine

The term “dumping” in this context is often used broadly, not always as the classic clinical dumping syndrome.

Fundamental Difference

Situation

Predominant Effect

Solid mixed meal, moderate quantities

Slowed emptying

Concentrated sugary beverage, large quantities

Possible rapid emptying

Sugar + fiber + fats + proteins

Slowing

Sugar alone in solution

Faster

Why Can Both Occur?

The stomach regulates emptying through two opposing forces:

  1. Hormonal signals → slow emptying

  2. Osmotic pressure and volume → can accelerate emptying

If osmotic load is extremely high, regulatory control can be partially bypassed.

Microbiota and Inflammation

There is no contradiction here:

Chronic high intake of simple sugars →

  • Favors dysbiosis

  • Increases fermentation

  • May alter the intestinal barrier

This can occur even if gastric emptying is slow.

They are independent processes.

Final Synthesis

✔️ It is true that proteins and carbohydrates normally slow gastric emptying
✔️ It is also true that highly concentrated sugars, especially liquids, may promote rapid passage
✔️ They are not mutually exclusive: they depend on context and food form

Short version: In a normal meal, proteins and carbohydrates slow emptying.
With large amounts of concentrated sugars (especially liquid), osmotic effects may favor rapid passage.
Both statements are therefore correct, but refer to different physiological scenarios.

Why Smaller, More Frequent Meals Work Better

by luciano

When you eat a very large meal, several things happen:

  • The stomach stretches significantly

  • Blood flow to the digestive system increases

  • A strong hormonal response is triggered (insulin, incretins, etc.)

This can lead to:

  • Sleepiness or drowsiness

  • Mental “fog”

  • A feeling of heaviness

Dividing total calorie intake into several moderate meals:

  • Reduces the digestive load of each single meal

  • Helps keep blood glucose more stable

  • Promotes more consistent energy throughout the day

Better several balanced meals than one very large one.

✅ “Finish eating and not feel your stomach”

This phrase describes an ideal state very well:

  • Not full

  • Not empty

  • No tension or weight

In practice: light satiety, not “fullness.”

A good indicator is stopping when you feel satisfied but could still eat a little more.

This approach:

  • Improves digestion

  • Reduces reflux and bloating

  • Supports mental focus

What causes post-meal “mental fog”

It often results from:

  • Excess calories

  • Too many simple sugars

  • Very high-fat meals

  • Heavy combinations

It’s not only about quantity, but also quality.

How to make a meal easier on the stomach

  • Moderate portions

  • Lean proteins

  • Complex carbohydrates

  • Cooked or raw vegetables in a tolerable amount

  • Chew slowly

  • Avoid large late-evening meals

⚠️ An important clarification

Eating more often does not mean eating continuously.

It’s better to think in terms of:

  • 3 main meals

  • 1–2 snacks (if needed)

The key point is: a manageable digestive load at each meal.

Difference Between Ancient and Modern Grains

by luciano

 

Science indicates that the real difference between ancient and modern wheat does not lie primarily in the total amount of protein, but rather in its quality and structural organization.

A – Scientific Evidence (CREA, University of Bologna, MDPI): Summary of Main Findings

1. Gluten Strength (W Value)

The most marked difference concerns rheological properties, meaning how dough behaves.

  • Modern Wheat:

  • Selected for strong gluten (high W, often between 200 and 400). This creates a tenacious and elastic gluten network, ideal for industrial baking and pasta-making.

  • Ancient Wheat:

  • Characterized by weak gluten (low W, often between 20 and 90). The gluten network is more fragile and less elastic, making mechanical processing more difficult but, according to some studies, making proteins more easily accessible to digestive enzymes.

2. Gliadin/Glutenin Ratio

Gluten consists mainly of two protein fractions:

  • Gliadins – responsible for extensibility and for celiac toxicity

  • Glutenins – responsible for elasticity and dough strength

MDPI research shows that ancient wheats (such as einkorn and spelt) often have a much higher gliadin/glutenin ratio than modern common wheat.

Consequence:
This explains why ancient-grain doughs are stickier and less capable of retaining fermentation gases, producing breads with lower volume.

3. Gluten Quantity and Toxicity

Contrary to popular belief, ancient grains do not necessarily contain less gluten.

  • Protein content:

  • Many ancient varieties contain higher protein levels (14–18%) than modern wheat (11–14%).

  • Celiac disease:

  • Studies from CREA and Fondazione Veronesi confirm that ancient grains contain the same toxic epitopes (and sometimes in greater quantity) as modern wheat. Therefore, they are not safe for people with celiac disease.

  • Non-Celiac Gluten Sensitivity (NCGS):

  • Some research (e.g., Prof. Spisni, University of Bologna) suggests that the different gluten structure and the presence of other compounds (such as polyphenols) in ancient grains may reduce intestinal inflammation markers in non-celiac sensitive individuals.

Synthetic Comparison Table

Feature

Ancient Grains (e.g., Senatore Cappelli, Verna)

Modern Grains (e.g., Manitoba, Creso)

Gluten strength (W)

Low (20–90)

High (200–450)

Elasticity

Very low

Very high

Digestibility (non-celiac)

Potentially higher

Standard

Yield per hectare

Low

High

Plant height

Tall (>150 cm)

Short (60–80 cm)

B – Comparative Study on Gluten Protein Composition of Ancient and Modern Wheat Species

(Geisslitz et al., 2019 – Foods, MDPI)

Study Design

  • 300 cereal samples

  • 15 cultivars per species (einkorn, emmer, spelt, durum wheat, common wheat)

  • Grown in four locations to eliminate environmental variability

Key Findings

Quantity vs Quality

Ancient species show higher total protein and gluten content than modern common wheat.

Gliadin/Glutenin Ratio

Modern wheat contains much higher glutenin levels, responsible for dough strength.
Ancient species exhibit extremely high gliadin/glutenin ratios (up to 12:1 in einkorn vs <3.8:1 in modern wheat).

Technological Weakness

This produces weak gluten incapable of forming a strong network, resulting in lower bread volume but a simpler protein structure.

Conclusion
Modern breeding did not increase gluten quantity but profoundly changed its polymeric quality to enhance industrial performance.

C – Differential Physiological Responses to Ancient vs Modern Wheat (Spisni et al., 2019)

1. The Nutritional Paradox

From a biochemical standpoint, ancient and modern wheat are very similar in macro- and micronutrients.
However, human clinical responses differ markedly.

2. Inflammatory Response and Gluten Strength

  • Modern Gluten:

  • Highly polymerized, strong, and resistant to human digestive enzymes.

  • Ancient Gluten:

  • Structurally weaker and less polymerized, therefore more easily fragmented during digestion, reducing exposure to pro-inflammatory peptides.

3. Anti-Inflammatory and Antioxidant Effects

Clinical trials show that replacing modern wheat with ancient wheat leads to:

  • Reduced pro-inflammatory cytokines (IL-6, TNF-α)

  • Improved metabolic parameters (cholesterol, blood glucose)

4. Role of the Gut Microbiota

Ancient grains promote growth of beneficial bacteria producing short-chain fatty acids (SCFAs) such as butyrate, which:

  • Strengthen the intestinal barrier

  • Reduce intestinal permeability (“leaky gut”)

5. Study Conclusions

Ancient grains are not suitable for celiac disease, but represent a superior choice for:

  • Non-celiac gluten sensitivity

  • Irritable bowel syndrome

  • Healthy individuals seeking to reduce baseline inflammation

Final Synthesis

The industrially desirable technological strength of modern wheat gluten appears to be the main factor placing stress on the digestive and immune systems.

Ancient grains do not contain less gluten—but their gluten is structurally simpler, less polymerized, and potentially more digestible, which may explain their better tolerance in many individuals.