这才是极具价值的临床科研选题:预后标记、观察指标!美国68项在研胰腺炎基金的启发(2024)

医疗资讯网-妇科问诊

胰腺炎(Pancreatitis)是一种胰腺发炎的疾病,胰腺是一个位于胃后部的腺体,主要功能是分泌消化酶和激素,如胰岛素。胰腺炎通常可以表现为急性或慢性两种形式:

尽管近年来在胰腺炎的诊断和治疗方面取得了显著进展,但仍存在一些重要而未解决的临床问题:

胰腺炎的研究和治疗领域仍需更多的创新和突破,以改善患者的临床管理和生活质量。

我们仅对美国国立卫生研究院(NIH)资助的在研胰腺炎相关项目进行梳理,希望给同仁们的选题思路提供一点启发。

2024年,以“Pancreatitis”为检索词、在题目中进行检索,美国NIH针对胰腺炎的在研有68项

一,谁获得了这些研究?

1,在研胰腺炎基金最多的PI

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2,胰腺炎基金最多的研究机构

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二,胰腺炎研究热点是什么?

胰腺炎研究领域总览(根据关键词)

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A,关于胰腺癌(Pancreatic Cancer)的研究项目最多

有 21 项在研基金涉及到了胰腺癌,关注最多的方面包括风险因素(Risk Factor)、Type 3c分型、纵向队列(Longitudinal Cohorts)、外分泌胰腺(Exocrine Pancreas)、严重程度(Severity)、复发性急性胰腺炎(Recrrentacute Pancreatits)等研究。

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B,关于疼痛(Pain)的研究项目

有 20 项在研基金涉及到了疼痛,关注最多的方面包括细胞、治疗反应(Treatment Response)、预测(Prediction)、胰腺癌(Pancreas Cancer)、辅助研究(Ancillary Studies)、Lacosamide等研究。

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C,关于临床试验(Clinical Trails)的研究项目

有 19 项在研基金涉及到了临床试验,关注最多的方面包括影像学(Imaging)、器官特征(Organ Feature)、细胞、腹痛(Abdominal Pain)、风险因素、CPDPC等研究。

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其他胰腺炎研究大的方向还包括1型糖尿病(Type 1 Diabetes)、腺泡细胞(Acinar Cells)、胰蛋白酶激活(Trypsin Activation)等。

三,借鉴与突破

我们也分享在胰腺炎领域的几项课题摘要,希望对同仁们有所启发。

A,Predictive Biosignature for Endoscopic Therapy for Chronic Pancreatitis Pain

In this proposal we aim to use machine learning to develop multimodal predictive biosignatures for pain response to endoscopic therapies utilizing electroencephalography (EEG), quantitative sensory testing (QST), and biopsychosocial variables. 

Our study is founded on the premise that while pancreatic pathology initially drives pain, over time alterations in central pain processing may become a dominant driver of pain in some patients with CP, making them resistant to therapies aimed at the periphery. Neuroimaging with EEG, sensory testing with QST, and psychosocial questionnaires assess central vs peripheral changes in pain processing. Combining these tools in a multimodal biosignature can improve sensitivity and specificity of prediction and advance s election of appropriate treatment of CP pain. In the UG3 phase of our proposal, we will measure EEG and QST and assess psychosocial factors in ~100 patients with alcohol-induced CP pain undergoing endoscopic therapy as part of standard clinical care. Using machine learning algorithms, we will extract features and develop candidate predictive biosignatures for pain treatment response to endoscopic therapy. In the UH3 phase we will validate and select the biosignature with the highest area under the curve met ric in a new cohort of patients. 

Our success will have direct clinical impact, improving care of this refractory chronic pain syndrome and enabling similar studies in other chronic abdominal pain syndromes.

B, Diabetes RElated to Acute Pancreatitis and its Mechanisms: Metabolic Outcomes Using Novel CGM Metrics (DREAM-ON)

The Type 1 Diabetes and Acute Pancreatitis Consortium (T1DAPC): The overall goals of the T1DAPC are to describe the risk for and mechanisms of diabetes mellitus occurring after one or more episodes of acute pancreatitis. Secondary objectives include defining the natural history of acute pancreatitis, the clinical risk factors that predict development of diabetes and pre-diabetes, the natural history of beta cell function after acute pancreatitis, and the potential contribution of an altered immune state to the increased risk for diabetes after acute pancreatitis. These objectives are being addressed the ongoing, prospective, observational T1DAPC study entitled “Diabetes RElated to Acute Pancreatitis and its Mechanisms (DREAM)”. 

DREAM-ON: This ancillary study pilot proposal, entitled “Diabetes RElated to Acute Pancreatitis and its Mechanisms: Metabolic Outcomes Using Novel CGM Metrics (DREAM-ON)” which will be conducted in participants enrolled in the DREAM study, will test whether continuous glucose monitoring (CGM) is clinically useful to predict risk for developing diabetes, the need for insulin therapy among those who develop diabetes and whether CGM can provide insight into the diabetes subtype among patients who have experienced an episode of acute pancreatitis. Thus, the results of this ancillary study will complement and extend the primary research questions in the DREAM study.

Specific Aims: Aim 1: To perform CGM in all participants in the DREAM study in conjunction with their scheduled visits at months 3, 12, 24 and subsequent annual visits and to determine if CGM metrics predict incident pre-diabetes and DM. Aim 2: To determine if CGM metrics predict need for insulin therapy in patients who develop DM after AP. Aim 3: To determine whether CGM metrics correlate with measures of insulin secretion and insulin resistance derived from the OGTT, MMT and FSIVGTT, and can be used as a surrogate to predict diabetes subtype.

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