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Study of Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) in Adults With Type 1 Diabetes

1 de agosto de 2026 actualizado por: Aliaa Khairy Shabaan, Sohag University

Type 1 diabetes (T1D) is a disease characterized by an absolute deficiency of insulin secondary to autoimmune destruction of pancreatic beta cells , historically individuals with T1D are not liable for metabolic complications.

Recent evidence suggests a prevalence of MASLD in approximately 22.2% of adults with T1D; moreover, significant fibrosis (> F2) is observed 'in 13.2% and advanced fibrosis (> F3) in 5.12% of them (1) The development of MASLD is related to a persistence of inflammatory state and is favored by lipotoxicity due to the accumulation of free cholesterol(2) In individuals with T1D, MASLD risk may be influenced by disease-specific factors, including lifelong exposure to exogenous insulin, peripheral hyperinsulinemia with relative portal hypoinsulinemia, chronic hyperglycemia, marked glycemic variability, recurrent hypoglycemia, and progressive alterations in body composition. Even in the absence of classical insulin resistance, these factors may promote hepatic denovo lipogenesis, oxidative stress, and lipid accumulation through alternative metabolic pathways Type 1 diabetes (T1D) is a disease characterized by an absolute deficiency of insulin secondary to autoimmune destruction of pancreatic beta cells , historically individuals with T1D are not liable for metabolic complications.

Recent evidence suggests a prevalence of MASLD in approximately 22.2% of adults with T1D; moreover, significant fibrosis (> F2) is observed 'in 13.2% and advanced fibrosis (> F3) in 5.12% of them (1) The development of MASLD is related to a persistence of inflammatory state and is favored by lipotoxicity due to the accumulation of free cholesterol(2) In individuals with T1D, MASLD risk may be influenced by disease-specific factors, including lifelong exposure to exogenous insulin, peripheral hyperinsulinemia with relative portal hypoinsulinemia, chronic hyperglycemia, marked glycemic variability, recurrent hypoglycemia, and progressive alterations in body composition. Even in the absence of classical insulin resistance, these factors may promote hepatic denovo lipogenesis, oxidative stress, and lipid accumulation through alternative metabolic pathways Type 1 diabetes (T1D) is a disease characterized by an absolute deficiency of insulin secondary to autoimmune destruction of pancreatic beta cells , historically individuals with T1D are not liable for metabolic complications.

Recent evidence suggests a prevalence of MASLD in approximately 22.2% of adults with T1D; moreover, significant fibrosis (> F2) is observed 'in 13.2% and advanced fibrosis (> F3) in 5.12% of them (1) The development of MASLD is related to a persistence of inflammatory state and is favored by lipotoxicity due to the accumulation of free cholesterol(2) In individuals with T1D, MASLD risk may be influenced by disease-specific factors, including lifelong exposure to exogenous insulin, peripheral hyperinsulinemia with relative portal hypoinsulinemia, chronic hyperglycemia, marked glycemic variability, recurrent hypoglycemia, and progressive alterations in body composition. Even in the absence of classical insulin resistance, these factors may promote hepatic denovo lipogenesis, oxidative stress, and lipid accumulation through alternative metabolic pathways Type 1 diabetes (T1D) is a disease characterized by an absolute deficiency of insulin secondary to autoimmune destruction of pancreatic beta cells , historically individuals with T1D are not liable for metabolic complications.

Recent evidence suggests a prevalence of MASLD in approximately 22.2% of adults with T1D; moreover, significant fibrosis (> F2) is observed 'in 13.2% and advanced fibrosis (> F3) in 5.12% of them (1) The development of MASLD is related to a persistence of inflammatory state and is favored by lipotoxicity due to the accumulation of free cholesterol(2) In individuals with T1D, MASLD risk may be influenced by disease-specific factors, including lifelong exposure to exogenous insulin, peripheral hyperinsulinemia with relative portal hypoinsulinemia, chronic hyperglycemia, marked glycemic variability, recurrent hypoglycemia, and progressive alterations in body composition. Even in the absence of classical insulin resistance, these factors may promote hepatic denovo lipogenesis, oxidative stress, and lipid accumulation through alternative metabolic pathways

Descripción general del estudio

Estado

Aún no reclutando

Condiciones

Descripción detallada

Type 1 diabetes (T1D) is a disease characterized by an absolute deficiency of insulin secondary to autoimmune destruction of pancreatic beta cells , historically individuals with T1D are not liable for metabolic complications.

Recent evidence suggests a prevalence of MASLD in approximately 22.2% of adults with T1D; moreover, significant fibrosis (> F2) is observed 'in 13.2% and advanced fibrosis (> F3) in 5.12% of them (1) The development of MASLD is related to a persistence of inflammatory state and is favored by lipotoxicity due to the accumulation of free cholesterol(2) In individuals with T1D, MASLD risk may be influenced by disease-specific factors, including lifelong exposure to exogenous insulin, peripheral hyperinsulinemia with relative portal hypoinsulinemia, chronic hyperglycemia, marked glycemic variability, recurrent hypoglycemia, and progressive alterations in body composition. Even in the absence of classical insulin resistance, these factors may promote hepatic denovo lipogenesis, oxidative stress, and lipid accumulation through alternative metabolic pathways (3,4).

Due to the association of MASLD and adverse clinical outcomes, international guidelines recommend screening individuals with metabolic risk factors through the use of clinical tools and noninvasive indices (aspartate aminotransferase (AST)/alanine transaminase (ALT) levels, Fibrosis-4 index (FIB-4), hepatic steatosis index (HSI), and fatty liver index (FLI)) and imaging (5).

The combined use of scales and imaging studies offers an accessible and low-cost method for identifying patients at risk of liver fibrosis, facilitating early preventive and therapeutic interventions (5,6) Most non-invasive indices currently used to stratify MASLD ,and liver fibrosis risk were developed and validated in T2D or with metabolic diseases. However, their diagnostic performance in T1D remains uncertain as they may behave differently in the patients with T1D. (7).

Aim of the work:

The aim of the work is to study the frequancy of MASLD in T1D and to characterize non-invasive markers of MASLD and liver fibrosis risk in adults with T1D who attend to Sohag University Hospital

Patients and Methods:

This is a cross-sectional, observational study Sample size sample size is 250 patients calculated using Cochran Formula n=z^2*p(1-p)/d^2 For prevalence 25%,confidance level 95% and power80% Patients

Inclusion criteria:

(1) age ≥ 18years, (2) diagnosis of T1DM Exclusion Criteria.

  1. Type 2 diabetes mellitus
  2. using glucocorticoids
  3. long-term alcohol consumption
  4. previous diagnosis of other chronic liver diseases (viral, autoimmune, etc.), major diseases such as liver cirrhosis or tumors

Methods:

All groups will be subjected to :

  1. Complete history taking for Age, Sex, comorbidities (hypothyroidism, arterial hypertension, and dyslipidemia), duration of diabetes, insulin dose,.
  2. A thorough clinical examination will stress on:

    -BMI calculated as the ( weight (kg)/height (m)(8).

    • waist circumference
  3. The following investigations will be done to every subject:
  1. Glycated hemoglobin (HbA1c), 2- Lipid profile 3- AST, ALT(IU/L) 4- CBC 5- abdominal ultrasound 6- gamma-glutamyl transferase (GGT)and 7-fibroscane(Fibroscan 430, By Echosens company, france)for MASLD patients

    T1D is diagnosed according to ADA diagnostic criteria of T1D (12) MASLD is characterized by hepatic steatosis (fatty liver) in individuals with at least 1 cardiometabolic risk factor(13), and is characterized by specific manifestations in imaging.

    Cardiometabolic risk factors significant to meet diagnostic criteria include at least 1 of these 5 factors:

    -BMI > 25 kg/m2 (BMI > 23 in Asian populations) or waist circumference > 94 cm (men) or 80 cm (women)

    -Fasting serum glucose > 100 mg/dL or HgbA1c > 5.7% or type 2 diabetes or current treatment for type 2 diabetes

    • Blood Pressure > 130/85 mm/Hg or currently being treated with antihypertensives
    • Triglycerides > 150 or currently being treated with lipid lowering therapy
    • HDL cholesterol < 40 mg/dL (men) or HD < 50 mg/dL (women) or currently being treated with lipid-lowering medications.(14)

    Non-invasive indices [Hepatic steatosis index(HSI), fatty liver index (FLI), are used to estimate the risk of MASLD, and Fibrosis-4 score (FIB-4) and fibroscane are used for fibrosis risk stratification.

    • FLI: [0.953 × ln(triglycerides) + 0.139 × BMI + 0.718 × ln(GGT) + 0.053 × waist circumference - 15.745]. Interpretation: <30, low risk; 30-60, intermediate risk; > 60, high risk (9).
    • FIB-4: [(Age × AST)/(Platelets × √ALT)]. Interpretation:

    fibrosis stage 0-1; <1.30 fibrosis stage 2-3; 1.30-2.67 fibrosis stage 4-5: > 2.67 (10).

    • HSI: [8 × ALT/AST + BMI + 2 (if had diabetes) + 2 (if female)]. Interpretation: <30, very low risk; 30-36 intermediate risk; > 36, high risk (11).

Tipo de estudio

De observación

Inscripción (Estimado)

250

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

Ubicaciones de estudio

    • Sohag Governorate
      • Sohag, Sohag Governorate, Egipto
        • Sohag university hospital
        • Contacto:
        • Investigador principal:
          • aliaa khyry shaban, assistant lecturer

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

  • Adulto
  • Adulto Mayor

Acepta Voluntarios Saludables

No

Método de muestreo

Muestra no probabilística

Población de estudio

adults with T1D who attend to Sohag University Hospital

Descripción

Inclusion Criteria:

  1. age ≥ 18years,
  2. diagnosis of T1DM

Exclusion Criteria

(1)Type 2 diabetes mellitus (2) using glucocorticoids (3) long-term alcohol consumption (4) previous diagnosis of other chronic liver diseases (viral, autoimmune, etc.), major diseases such as liver cirrhosis or tumors

-

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

Cohortes e Intervenciones

Grupo / Cohorte
adults with type 1 diabetes

Patients

Inclusion criteria:

(1) age ≥ 18years, (2) diagnosis of T1DM Exclusion Criteria.

  1. Type 2 diabetes mellitus
  2. using glucocorticoids
  3. long-term alcohol consumption
  4. previous diagnosis of other chronic liver diseases (viral, autoimmune, etc.), major diseases such as liver cirrhosis or tumors

Methods:

All groups will be subjected to :

  1. Complete history taking for Age, Sex, comorbidities (hypothyroidism, arterial hypertension, and dyslipidemia), duration of diabetes, insulin dose,.
  2. A thorough clinical examination will stress on:

    • BMI calculated as the ( weight (kg)/height (m)(8).
    • waist circumference
  3. The following investigations will be done to every subject:

1Glycated hemoglobin (HbA1c), 2- Lipid profile 3- AST, ALT(IU/L) 4- CBC 5- abdominal ultrasound 6- gamma-glutamyl transferase (GGT)and 7-fibroscane(Fibroscan 430, By Echosens company, france)for MASLD patients

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
frequancy of MASLD in T1D
Periodo de tiempo: at baseline
study the frequancy of MASLD in T1D and to characterize non-invasive markers of MASLD and liver fibrosis risk in adults with T1D who attend to Sohag University Hospital
at baseline

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Patrocinador

Investigadores

  • Investigador principal: aliaa khyry shaban, assistant lecturer, Faculty of Medicine Sohag University

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Estimado)

22 de agosto de 2026

Finalización primaria (Estimado)

22 de agosto de 2027

Finalización del estudio (Estimado)

22 de agosto de 2028

Fechas de registro del estudio

Enviado por primera vez

1 de agosto de 2026

Primero enviado que cumplió con los criterios de control de calidad

1 de agosto de 2026

Publicado por primera vez (Actual)

6 de agosto de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

6 de agosto de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

1 de agosto de 2026

Última verificación

1 de agosto de 2026

Más información

Términos relacionados con este estudio

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

NO

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

No

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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