A lawsuit has been filed against the Trump administration over its budget-cutting plans targeting medical research led by colleges and universities.

Lawsuit allies warn of negative consequences for curing diseases, as well as local economies. The suit was brought by Minnesota and 21 other states after the National Institutes of Health said it would follow through on orders to cut $4 billion through a grant funding formula for indirect expenses.

North Dakota is not part of the legal case, but an analysis said the state could lose more than $3 million in research funds.

Ellie Dehoney, senior vice president of policy and advocacy for the group Research!America, said no matter the state, the pain will be quickly felt.

“The suddenness of it is one of the ways that you degrade your research capacity,” Dehoney said.

Beyond the effects on finding cures for diseases such as Alzheimer’s, Dehoney warned of job losses at lab equipment makers and other supporting businesses. Trump advisers suggest too much grant money goes to overhead costs but advocates countered the argument misrepresents the facts. They said even indirect funds keep the lights on at university labs and support other key infrastructure such as data storage. Recently, a federal judge temporarily halted the cuts as the case proceeds.

Dehoney said medical research at the academic level needs to play out first because the private sector does not have the resources or patience to play the long game in advancing treatments. She also warned slowing scientific progress could keep more people dealing with chronic health issues from improving their quality of life and participating in the workforce.

“I know a person who is on Social Security disability,” Dehoney said. “She went on a biologic (drug), she has rheumatoid arthritis, and now she’s working full time.”

Dehoney argued abruptly stalling important research work also benefits global competitors such as China. She feels there is room for groups like hers to work with the Trump administration on finding efficiencies but only if they actually boost research capacity, not reduce it.