Disease Causality Discovery Results
In this study, a total of 259,434 disease causality pairs were extracted. Among them, different forms of disease causality structures were identified, mainly including unidirectional disease causality, bidirectional disease causality, and two specific types of disease causality, primary disease causality and rare disease causality.
(1) Unidirectional disease causality: Among the disease causality pairs extracted from the literature, a total of 92,557 types, or 176,010 unidirectional disease causality triples, were obtained. We visualized 32 disease causality pairs with a frequency of not less than 100 times for analysis (Figure 2).
The figure suggests that the disease causality related to blind vision is of the highest frequency. Among them, the major causes of blindness come from trachoma and diabetic macular edema and conversely, blindness is often a serious consequence of these diseases. The figure also reveals that hyperhomocysteinemia is a risk factor for both cardiovascular diseases and atherosclerosis. In addition, the figure also clearly demonstrates the diseases that trigger acute kidney failure, chronic kidney failure and end stage renal failure.
(2) Bidirectional disease causality: The association between obesity, diabetes and hypertensive disease is widely acknowledged to the public, so in this study we selected the three diseases as examples of bidirectional disease causality for detailed analysis. The weighted bidirectional disease causality diagram with obesity and hypertension at its core is shown below (Figure 3). The diagram illustrates a simple disease causality network of 18 diseases, where obesity and hypertension are connected together through the intermediate node of diabetes.
In recent years, the global prevalence of obesity has been increasing year by year. Obesity has become one of the major concerns in human health because it increases the risk of developing a variety of other diseases. In the relationship diagram, 8 diseases have a bidirectional high-frequency causality with obesity, among which one of the most closely linked diseases is non-insulin-dependent diabetes mellitus, also known as type 2 diabetes. Individuals with obesity produce insulin resistance in their adipose tissue, which induces increased insulin secretion from pancreatic β-cells. However, this overcompensation for insulin secretion can lead to pancreatic β-cell failure and inadequate insulin secretion, ultimately resulting in non-insulin-dependent diabetes mellitus[15]. The pathogenesis of this correlation between obesity and non-insulin-dependent diabetes mellitus has been studied extensively. Additionally, genetic studies provide insight into the view that non-insulin-dependent diabetes mellitus causes obesity [16].
Research has found that nine diseases have bidirectional causality with hypertensive disease. It is widely known that hypertensive disease is closely related to cardiovascular disease and cerebrovascular accident. Hypertension is a significant risk factor for cardiovascular disease, and cardiovascular disease can also cause hypertension, which means that there is a bidirectional causality between two diseases. Evidence suggests that the renin–angiotensin–aldosterone system (RAAS), the role of natriuretic peptides and the endothelium, the sympathetic nervous system (SNS) and the immune system in a comprehensive neurohumoral system play an important part in the regulation of blood pressure levels. In which the dysfunction involving blood pressure control factors may contribute to hypertension, and induce damage to target organs over time. A number of syndromes, including coronary artery disease, stroke and other cardiovascular diseases, are manifestations of this dysfunction[17]. By understanding the underlying mechanisms, it is possible to reduce the risk of the disease and provide useful reference for diagnosis and treatment of the disease.
It was also found that there was a remarkable difference in frequency between the forward and reverse disease causality pairs, which is referred to as bidirectional disease causality with high frequency difference in this study. To quantify this difference, we used the following formula:
D = (F - N)/N (1)
(D is the value of the frequency difference, F denotes the forward frequency and N denotes the reverse frequency.)
In this study, the high-frequency differential bidirectional disease causality with reverse frequency less than 10 and frequency difference greater than 10 were selected for analysis. The erroneous data were further eliminated according to literature (Table 4). This type of disease causality is particularly valuable because it indicates a high degree of uncertainty in the causality between two diseases, which can provide important clues for further scientific research and clinical investigation.
Table 4 Bidirectional disease causality pairs with high-frequency difference
Disease Causality Pairs
|
D
|
Number
|
Cause
|
Effect
|
1
|
Coronary Artery Vasospasm
|
Myocardial Infarction
|
31.33
|
2
|
Hypertension, Pulmonary
|
Right ventricular failure
|
30.75
|
3
|
Obesity
|
Fatty Liver
|
25.25
|
4
|
Ischemia
|
Ventricular Fibrillation
|
21.57
|
5
|
Hypertensive disease
|
End stage renal failure
|
21.5
|
6
|
Subarachnoid Hemorrhage
|
Cerebral Vasospasm
|
20.71
|
7
|
Obesity
|
Asthma
|
20.57
|
8
|
Obesity
|
Sleep Apnea, Obstructive
|
18
|
9
|
Bacterial Infections
|
Septicemia
|
12.8
|
10
|
Strabismus
|
Amblyopia
|
11.6
|
An analysis of the source literature on disease causality revealed that obstructive sleep apnea (OSA) is a common sleep disorder and that obesity has been identified as a major risk factor for OSA. However, in studies of OSA leading to obesity, the literature published in 2013 concluded that it is uncertain whether OSA causes obesity [18]. And a more recent study published in 2020 explained that “OSAS itself leads to obesity by causing both leptin and insulin resistance as a consequence of activation of the sympathetic nervous system.”(PMID:33264533). In addition, no other relevant studies were found, suggesting that researchers and clinicians may consider paying more attention to this pair of disease relationships or conducting in-depth studies.
(3) Other Disease Causality: The analysis also identified two other special disease causality patterns. These two patterns are defined as "primary disease causality" and "rare disease causality" in this study. Overall, the understanding of these unique disease causality patterns is more noteworthy than the regular ones that have been studied previously because of their distinct characteristics.
(a) Primary disease causality: "Primary disease causality" is defined as having at least two disease causality pairs extracted from a single sentence in a way that can be represented as a chained or bidirectional disease causality structure. Examples are shown in the table below (Table 5 and Table 6).
Table 5 Example of primary chain disease causality
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)
Table 6 Example of primary bidirectional disease causality
![](data:image/png;base64,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)
Primary disease causality was extracted from the same sentence and these diseases were closely related and had been scientifically verified. Therefore, the primary disease causality pattern is more scientific and credible.
(b) Rare disease causality: "Rare disease causality" refers to a disease that rarely causes another disease. In this study, the disease causality pairs with low frequency (10 times or less) were defined as "rare disease causality". The specific examples are shown in the following table (Table 7).
Table 7 Example of rare disease causality
Source of Sentence
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PMID:30665352
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Text Sentence
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Periodontal disease, including periodontitis, has been reported to be a rare cause of septic pulmonary embolism (SPE).
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Disease Causality Pairs
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Periodontitis –rare cause – Pulmonary Embolism
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The study of rare disease causality is of great significance for two reasons. Firstly, it suggests that the risk factors and implications for the pathogenesis of the disease are infrequent, and therefore require serious consideration. Second, because the disease is not commonly studied, it holds promise for further exploration and provides insight into uncovering the underlying mechanism.